You searched for subject:(Sensor Placement).
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University of New South Wales
1.
Laird, John.
Modelling the impact of sensor placement and fusion for traffic monitoring.
Degree: Computer Science & Engineering, 2013, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/53000 
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true
► This thesis develops models to evaluate the impact of multi-modal sensor placement configurations on obtaining traffic parameters required for a variety of traffic monitoring and…
(more)
▼ This thesis develops models to evaluate the impact of multi-modal
sensor placement configurations on obtaining traffic parameters required for a variety of traffic monitoring and management applications.Existing traffic management strategies generally rely on the commonly used induction loop sensors, which are highly accurate presence detectors, however they have a limited sensing area. Alternate
sensor modalities may provide a higher information gain in comparison, especially vision based sensors. An inherent problem with using vision based sensors in traffic management is the occlusion between vehicles, which can make detection of individual vehicles difficult.Information fusion from multiple sensors provides much richer information for scene understanding, leading to a greater ability to coordinate traffic management efficiently. Thus, effective
sensor placement and fusion of data can improve the efficiency of traffic management. The aim of this thesis is to evaluate the impact of multi-modal
sensor placement, and as a result improve the estimation accuracy of road traffic parameters obtained from various
sensor configurations. More specifically, vision based sensors are studied, and later fused with inductive loops.In order to achieve this, models are developed to simulate various traffic flows, and to ensure consistency and relevance of the simulations to real world traffic. Models for single
sensor modality and multi-modal
sensor fusion are developed and are also validated. These models enable evaluation of
sensor placement configurations to determine effectiveness for specific traffic applications.Results of various single
sensor configurations demonstrate that the impact of view occlusion on the ability to detect vehicles can be improved by considering
sensor placement. Combining inductive loops and video cameras by
sensor fusion was found to overcome the problem of occlusion, resulting in a decided improvement in parameter estimation for traffic management and monitoring applications. For example, the
sensor fusion models developed resulted in the queue length estimation accuracy being improved by up to 20%. Finally, by applying the models presented in this thesis to current ramp metering strategies, viable alternative
sensor deployment solutions are recommended.
Advisors/Committee Members: Chou, Chun Tung, Computer Science & Engineering, Faculty of Engineering, UNSW, Geers, D. Glenn, NICTA, Wang, Yang, NICTA.
Subjects/Keywords: Traffic management; Sensor placement; Sensor fusion
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APA (6th Edition):
Laird, J. (2013). Modelling the impact of sensor placement and fusion for traffic monitoring. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true
Chicago Manual of Style (16th Edition):
Laird, John. “Modelling the impact of sensor placement and fusion for traffic monitoring.” 2013. Doctoral Dissertation, University of New South Wales. Accessed January 17, 2021.
http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true.
MLA Handbook (7th Edition):
Laird, John. “Modelling the impact of sensor placement and fusion for traffic monitoring.” 2013. Web. 17 Jan 2021.
Vancouver:
Laird J. Modelling the impact of sensor placement and fusion for traffic monitoring. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2021 Jan 17].
Available from: http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true.
Council of Science Editors:
Laird J. Modelling the impact of sensor placement and fusion for traffic monitoring. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true
University of Alberta
2.
Mortazavi ,Seyed Hossein.
Designing Hierarchical WSNs for Heterogeneous Outdoor
Environments.
Degree: MS, Department of Computing Science, 2012, University of Alberta
URL: https://era.library.ualberta.ca/files/xk81jm08r
► In this project we study the problem of wireless sensor network (WSN) node placement in a modelled environment. Although various optimal and sub-optimal techniques with…
(more)
▼ In this project we study the problem of wireless
sensor network (WSN) node placement in a modelled environment.
Although various optimal and sub-optimal techniques with different
objectives and constraints such as maximizing coverage, network
lifetime and reliable data transfer have previously been proposed
for different variations of the node placement problem, many of
these methods make various simplifying assumptions such as
homogeneous transmission ranges among nodes. In our work we model
the real environment and then based on our model we specifically
design two node placement algorithms for two-tiered heterogeneous
networks that aim to solve problems such as minimizing the number
of RNs and SNs needed to satisfy a coverage constraint while
maintaining connectivity (with fault-less connections) of the SNs
to the base station and also maximizing the area covered by a
specific number of RNs and SNs.
Subjects/Keywords: Heterogeneous environments; Wireless Sensor Networks; Node placement
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APA (6th Edition):
Hossein, M. ,. (2012). Designing Hierarchical WSNs for Heterogeneous Outdoor
Environments. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/xk81jm08r
Chicago Manual of Style (16th Edition):
Hossein, Mortazavi ,Seyed. “Designing Hierarchical WSNs for Heterogeneous Outdoor
Environments.” 2012. Masters Thesis, University of Alberta. Accessed January 17, 2021.
https://era.library.ualberta.ca/files/xk81jm08r.
MLA Handbook (7th Edition):
Hossein, Mortazavi ,Seyed. “Designing Hierarchical WSNs for Heterogeneous Outdoor
Environments.” 2012. Web. 17 Jan 2021.
Vancouver:
Hossein M,. Designing Hierarchical WSNs for Heterogeneous Outdoor
Environments. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2021 Jan 17].
Available from: https://era.library.ualberta.ca/files/xk81jm08r.
Council of Science Editors:
Hossein M,. Designing Hierarchical WSNs for Heterogeneous Outdoor
Environments. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/xk81jm08r
Virginia Tech
3.
Suryan, Varun.
Learning a Spatial Field in Minimum Time with a Team of Robots.
Degree: M. S., Computer Engineering, 2018, Virginia Tech
URL: http://hdl.handle.net/10919/93735
► We solve the problem of measuring a physical phenomenon accurately using a team of robots in minimum time. Examples of such phenomena include the amount…
(more)
▼ We solve the problem of measuring a physical phenomenon accurately using a team of robots in minimum time. Examples of such phenomena include the amount of nitrogen present in the soil within a farm and concentration of harmful chemicals in a water body etc. Knowing accurately the extent of such quantities is important for a variety of economic and environmental reasons. For example, knowing the content of various nutrients in the soil within a farm can help the farmers to improve the yield and reduce the application of fertilizers, the concentration of certain chemicals inside a water body may affect the marine life in various ways. In this thesis, we present several algorithms which can help robots to be deployed efficiently to quantify such phenomena accurately. Traditionally, robots had to be teleoperated. The algorithms proposed in this thesis enable robots to work more autonomously.
Advisors/Committee Members: Tokekar, Pratap (committeechair), Abbott, A. Lynn (committee member), Williams, Ryan (committee member).
Subjects/Keywords: Sensor Placement; Informative Path Planning; Gaussian Processes
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APA (6th Edition):
Suryan, V. (2018). Learning a Spatial Field in Minimum Time with a Team of Robots. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93735
Chicago Manual of Style (16th Edition):
Suryan, Varun. “Learning a Spatial Field in Minimum Time with a Team of Robots.” 2018. Masters Thesis, Virginia Tech. Accessed January 17, 2021.
http://hdl.handle.net/10919/93735.
MLA Handbook (7th Edition):
Suryan, Varun. “Learning a Spatial Field in Minimum Time with a Team of Robots.” 2018. Web. 17 Jan 2021.
Vancouver:
Suryan V. Learning a Spatial Field in Minimum Time with a Team of Robots. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/10919/93735.
Council of Science Editors:
Suryan V. Learning a Spatial Field in Minimum Time with a Team of Robots. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/93735
4.
Banik, Bijit Kumar.
Sewer systems management : illicit intrusion identification and optimal sensor placement : Management des réseaux d’assainissement : identification des pollutions ponctuelles et optimisation du placement de capteurs.
Degree: Docteur es, Sciences et Techniques de l'Environnement, 2015, Université Paris-Est
URL: http://www.theses.fr/2015PESC1112
► La gestion incorrecte des eaux usées peut entraîner des dommages importants sur les stations de traitement et sur le récepteur final (écosystème aquatique). Dans le…
(more)
▼ La gestion incorrecte des eaux usées peut entraîner des dommages importants sur les stations de traitement et sur le récepteur final (écosystème aquatique). Dans le passé, la gestion des eaux usées n'a pas retenu beaucoup d'attention de la part des différentes parties prenantes. Toutefois, récemment, le changement de modèle de gestion des eaux usées et des eaux pluviales, a évolué du simple contrôle sanitaire et des inondations, à une protection globale de l'environnement. Un aspect très important, dans la politique de gestion des systèmes d'assainissement, est de détecter et d'éliminer une intrusion illicite, qui peut être intentionnelle. Ce travail thèse de doctorat est constitué de deux parties principales. Dans la première partie les problèmes relatifs à l'identification d'une intrusion illicite dans un système d'assainissement ont été abordés, proposant une méthodologie d'identification de la source (IS). Dans la deuxième partie, différentes méthodologies innovantes ont été proposées pour trouver l'emplacement optimal d'un nombre limité de capteurs dans le système d'assainissement. Dans cette thèse, le ISest résolu grâce à un modèle de simulation-optimisation, combinant l'outil de simulation Storm Water Management Model (SWMM) avec un code d'optimisation basé sur un algorithme génétique (Galib). Ceci nécessite des mesures en ligne de certains capteurs placés sur le réseau. Le SWMM ne possède pas l'outil de programmation. Afin d'intégrer le simulateur SWMM à la méthodologie de IS automatisé proposée, un outil ad-hoc a été développé. Une procédure de présélection, basée sur le concept de la matrice de la pollution et compte tenu de la topologie des égouts, a été mis en œuvre pour réduire l'effort de calcul. La méthodologie IS a été testée sur deux réseaux différents. L'un est un réseau connu dans la littérature, extrait du manuel de SWMM, tandis que l'autre réseau est un sous-bassin versant du réseau d'assainissement de Massa Lubrense, village situé près de Naples, en Italie. Les résultats montrent que les procédures de présélection réduisent considérablement l'effort de calcul, avec un rôle crucial pour les grands systèmes. En enquêtant sur la performance de la méthodologie IS, sa sensibilité par rapport aux paramètres de l'algorithme génétique a été vérifiée. En outre, l'influence de l'incertitude des flux entrés et des erreurs de mesure sur les résultats ont été approfondi. Un autre problème fondamental, associé à la surveillance de la qualité de l'eau des égouts, est le
placement optimal d'un nombre limité de capteurs pour la détection précoce d'une source illicite. Dans la thèse l'emplacement du capteur est exprimé avec un problème d'optimisation mono ou multi-objectif. Le SWMM est utilisé pour extraire les données de qualité de l'eau. Différentes formulations ont été proposées et testées. Tout d'abord, la Théorie de l'Information (TI) basée sur la méthodologie d'optimisation multi-objectif est présentée. La TI considère deux objectifs : l'entropie conjointe, le contenu de l'information dans un ensemble de…
Advisors/Committee Members: Van Hullebusch, Eric (thesis director).
Subjects/Keywords: Gestion; Swmm5; Optimisation; Intrusion illicite; Placement de capteur; Sewer; Swmm5; Optimization; Illicit intrusion; Sensor placement
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APA (6th Edition):
Banik, B. K. (2015). Sewer systems management : illicit intrusion identification and optimal sensor placement : Management des réseaux d’assainissement : identification des pollutions ponctuelles et optimisation du placement de capteurs. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2015PESC1112
Chicago Manual of Style (16th Edition):
Banik, Bijit Kumar. “Sewer systems management : illicit intrusion identification and optimal sensor placement : Management des réseaux d’assainissement : identification des pollutions ponctuelles et optimisation du placement de capteurs.” 2015. Doctoral Dissertation, Université Paris-Est. Accessed January 17, 2021.
http://www.theses.fr/2015PESC1112.
MLA Handbook (7th Edition):
Banik, Bijit Kumar. “Sewer systems management : illicit intrusion identification and optimal sensor placement : Management des réseaux d’assainissement : identification des pollutions ponctuelles et optimisation du placement de capteurs.” 2015. Web. 17 Jan 2021.
Vancouver:
Banik BK. Sewer systems management : illicit intrusion identification and optimal sensor placement : Management des réseaux d’assainissement : identification des pollutions ponctuelles et optimisation du placement de capteurs. [Internet] [Doctoral dissertation]. Université Paris-Est; 2015. [cited 2021 Jan 17].
Available from: http://www.theses.fr/2015PESC1112.
Council of Science Editors:
Banik BK. Sewer systems management : illicit intrusion identification and optimal sensor placement : Management des réseaux d’assainissement : identification des pollutions ponctuelles et optimisation du placement de capteurs. [Doctoral Dissertation]. Université Paris-Est; 2015. Available from: http://www.theses.fr/2015PESC1112
University of Washington
5.
Manohar, Krithika.
Data-Driven Sensor Placement Methods.
Degree: PhD, 2018, University of Washington
URL: http://hdl.handle.net/1773/42951
► The scalable optimization of sensor placement remains an open challenge in engineering and physical sciences. Optimal placements can only be determined in general using a…
(more)
▼ The scalable optimization of
sensor placement remains an open challenge in engineering and physical sciences. Optimal placements can only be determined in general using a brute-force combinatorial search over the domain. This explosion in complexity presents a major challenge for high-dimensional domains in oceanography, fluid dynamics, manufacturing, and biology. Fortunately, high-dimensional data generated by these systems often possess reproducible, low-rank structure that can be exploited to drastically reduce the amount of measurements required for global inference. In this thesis, we exploit data-driven learning to optimize
sensor placement for signal reconstruction. Dimensionality reduction methods including proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) are used to obtain low-rank representations from data. We exploit empirical interpolation methods (EIMs), initially pioneered in reduced order modeling, to efficiently optimize the
placement of sensors for high-dimensional reconstruction, estimation and control. This work connects our EIM-based method to related
placement criteria in optimal experimental design, and extends our method to obtain an arbitrary number of optimal sensors. The superior performance and accuracy of our method is demonstrated on a variety of high-dimensional data from facial images, ocean temperatures, fluid dynamics, aircraft manufacturing and insect flight. Finally, an extension to
sensor and actuator
placement for optimal closed-loop control is proposed, which similarly leverages balanced model reduction of observability and controllability Gramians for speedy
sensor and actuator optimization.
Advisors/Committee Members: Kutz, J. Nathan (advisor), Brunton, Steven L (advisor).
Subjects/Keywords: Actuator placement; Dimensionality reduction; Sensor placement; Signal reconstruction; Applied mathematics; Applied mathematics
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APA (6th Edition):
Manohar, K. (2018). Data-Driven Sensor Placement Methods. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/42951
Chicago Manual of Style (16th Edition):
Manohar, Krithika. “Data-Driven Sensor Placement Methods.” 2018. Doctoral Dissertation, University of Washington. Accessed January 17, 2021.
http://hdl.handle.net/1773/42951.
MLA Handbook (7th Edition):
Manohar, Krithika. “Data-Driven Sensor Placement Methods.” 2018. Web. 17 Jan 2021.
Vancouver:
Manohar K. Data-Driven Sensor Placement Methods. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1773/42951.
Council of Science Editors:
Manohar K. Data-Driven Sensor Placement Methods. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/42951
University of Alberta
6.
Vlasenko, Iuliia.
Deployment Planning for Location Recognition in the
Smart-Condo™: Simulation, Empirical Studies and Sensor Placement
Optimization.
Degree: MS, Department of Computing Science, 2013, University of Alberta
URL: https://era.library.ualberta.ca/files/mw22v595s
► The Smart-Condo™ is a comprehensive platform that aims to provide a variety of services, based on information gleaned from sensors deployed in an apartment, that…
(more)
▼ The Smart-Condo™ is a comprehensive platform that aims
to provide a variety of services, based on information gleaned from
sensors deployed in an apartment, that can potentially improve
healthcare delivery. One of our main objectives has been to develop
an accurate non-invasive occupant-localization method using passive
infrared sensors. In this thesis, we present a simulation framework
with which we investigate tradeoffs between the number of sensors
and the localization accuracy of our platform. We compare the
results of simulations and real-world trials and conclude that our
simulation framework is a reliable estimator of the localization
accuracy of a particular sensor configuration. We then propose a
methodology for planning new deployments that takes into account
geometric properties of the new space and the context of occupant's
activities. More specifically, we describe a model with the
potential to capture typical indoor mobility patterns and formulate
a sensor placement optimization problem based on this model. We
propose a placement algorithm with near-optimality guarantee.
Through simulation-enabled evaluation, we demonstrate that this
algorithm generates sensor configurations with localization
accuracy superior to that achievable with the same number of
sensors placed manually or randomly in the same
environment.
Subjects/Keywords: Sensor Placement Optimization; Indoor Localization; Ambient Assisted Living; Wireless Sensor Networks; Smart Home
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APA (6th Edition):
Vlasenko, I. (2013). Deployment Planning for Location Recognition in the
Smart-Condo™: Simulation, Empirical Studies and Sensor Placement
Optimization. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/mw22v595s
Chicago Manual of Style (16th Edition):
Vlasenko, Iuliia. “Deployment Planning for Location Recognition in the
Smart-Condo™: Simulation, Empirical Studies and Sensor Placement
Optimization.” 2013. Masters Thesis, University of Alberta. Accessed January 17, 2021.
https://era.library.ualberta.ca/files/mw22v595s.
MLA Handbook (7th Edition):
Vlasenko, Iuliia. “Deployment Planning for Location Recognition in the
Smart-Condo™: Simulation, Empirical Studies and Sensor Placement
Optimization.” 2013. Web. 17 Jan 2021.
Vancouver:
Vlasenko I. Deployment Planning for Location Recognition in the
Smart-Condo™: Simulation, Empirical Studies and Sensor Placement
Optimization. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Jan 17].
Available from: https://era.library.ualberta.ca/files/mw22v595s.
Council of Science Editors:
Vlasenko I. Deployment Planning for Location Recognition in the
Smart-Condo™: Simulation, Empirical Studies and Sensor Placement
Optimization. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/mw22v595s
Texas A&M University
7.
Singh, Abhay Kumar.
Sensor network and soft sensor design for stable nonlinear dynamic systems.
Degree: PhD, Chemical Engineering, 2006, Texas A&M University
URL: http://hdl.handle.net/1969.1/4326
► In chemical processes, online measurements of all the process variables and parameters required for process control, monitoring and optimization are seldom available. The use of…
(more)
▼ In chemical processes, online measurements of all the process variables and parameters required for process control, monitoring and optimization are seldom available. The use of soft sensors or observers is, therefore, highly significant as they can estimate unmeasured state variables from available process measurements. However, for reliable estimation by a soft
sensor, the process measurements have to be placed at locations that allow reconstruction of process variables by the soft sensors. This dissertation presents a new technique for computing an optimal measurement structure for state and parameter estimation of stable nonlinear systems. The methodology can compute locations for individual sensors as well as networks of sensors where a trade-off between process information,
sensor cost, and information redundancy is taken into account. The novel features of the approach are (1) that the nonlinear behavior that a process can exhibit over its operating region can be taken into account, (2) that the technique is applicable for systems described by lumped or by distributed parameter models, (3) that the technique reduces to already established methods, if the system is linear and only some of the objectives are examined, (4) that the results obtained from the procedure can be easily interpreted, and (5) that the resulting optimization problem can be decomposed, resulting in a significant reduction of the computational effort required for its solution. The other issue addressed in this dissertation is designing soft sensors for a given measurement structure. In case of high-dimensional systems, the application of conventional soft
sensor or observer designs may not always be practical due to the high computational requirements or the resulting observers being too sensitive to measurement noise. To address these issues, this dissertation presents reduced-order observer design techniques for state estimation of high-dimensional chemical processes. The motivation behind these approaches is that subspaces, which are close to being unobservable, cannot be correctly reconstructed in a realistic setting due to measurement noise and inaccuracies in the model. The presented approaches make use of this observation and reconstruct the parts of the system where accurate state estimation is possible.
Advisors/Committee Members: Hahn, Juergen (advisor), El-Halwagi, Mahmoud (committee member), Jayaraman, Arul (committee member), Mannan, M. Sam (committee member), Vadali, Srinivas R. (committee member).
Subjects/Keywords: SENSOR PLACEMENT; SOFT SENSOR; NONLINEAR SYSTEMS
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Manager
APA (6th Edition):
Singh, A. K. (2006). Sensor network and soft sensor design for stable nonlinear dynamic systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4326
Chicago Manual of Style (16th Edition):
Singh, Abhay Kumar. “Sensor network and soft sensor design for stable nonlinear dynamic systems.” 2006. Doctoral Dissertation, Texas A&M University. Accessed January 17, 2021.
http://hdl.handle.net/1969.1/4326.
MLA Handbook (7th Edition):
Singh, Abhay Kumar. “Sensor network and soft sensor design for stable nonlinear dynamic systems.” 2006. Web. 17 Jan 2021.
Vancouver:
Singh AK. Sensor network and soft sensor design for stable nonlinear dynamic systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1969.1/4326.
Council of Science Editors:
Singh AK. Sensor network and soft sensor design for stable nonlinear dynamic systems. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4326
University of Kentucky
8.
Zhao, Jian.
Camera Planning and Fusion in a Heterogeneous Camera Network.
Degree: 2011, University of Kentucky
URL: https://uknowledge.uky.edu/ece_etds/2
► Wide-area camera networks are becoming more and more common. They have widerange of commercial and military applications from video surveillance to smart home and from…
(more)
▼ Wide-area camera networks are becoming more and more common. They have widerange of commercial and military applications from video surveillance to smart home and from traffic monitoring to anti-terrorism. The design of such a camera network is a challenging problem due to the complexity of the environment, self and mutual occlusion of moving objects, diverse sensor properties and a myriad of performance metrics for different applications. In this dissertation, we consider two such challenges: camera planing and camera fusion. Camera planning is to determine the optimal number and placement of cameras for a target cost function. Camera fusion describes the task of combining images collected by heterogenous cameras in the network to extract information pertinent to a target application.
I tackle the camera planning problem by developing a new unified framework based on binary integer programming (BIP) to relate the network design parameters and the performance goals of a variety of camera network tasks. Most of the BIP formulations are NP hard problems and various approximate algorithms have been proposed in the literature. In this dissertation, I develop a comprehensive framework in comparing the entire spectrum of approximation algorithms from Greedy, Markov Chain Monte Carlo (MCMC) to various relaxation techniques. The key contribution is to provide not only a generic formulation of the camera planning problem but also novel approaches to adapt the formulation to powerful approximation schemes including Simulated Annealing (SA) and Semi-Definite Program (SDP). The accuracy, efficiency and scalability of each technique are analyzed and compared in depth. Extensive experimental results are provided to illustrate the strength and weakness of each method.
The second problem of heterogeneous camera fusion is a very complex problem. Information can be fused at different levels from pixel or voxel to semantic objects, with large variation in accuracy, communication and computation costs. My focus is on the geometric transformation of shapes between objects observed at different camera planes. This so-called the geometric fusion approach usually provides the most reliable fusion approach at the expense of high computation and communication costs. To tackle the complexity, a hierarchy of camera models with different levels of complexity was proposed to balance the effectiveness and efficiency of the camera network operation. Then different calibration and registration methods are proposed for each camera model. At last, I provide two specific examples to demonstrate the effectiveness of the model: 1)a fusion system to improve the segmentation of human body in a camera network consisted of thermal and regular visible light cameras and 2) a view dependent rendering system by combining the information from depth and regular cameras to collecting the scene information and generating new views in real time.
Subjects/Keywords: Sensor Planning; Camera Placement; Sensor Fusion; Human Segmentation; Multi-camera Fusion; Electrical and Computer Engineering
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APA (6th Edition):
Zhao, J. (2011). Camera Planning and Fusion in a Heterogeneous Camera Network. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ece_etds/2
Chicago Manual of Style (16th Edition):
Zhao, Jian. “Camera Planning and Fusion in a Heterogeneous Camera Network.” 2011. Doctoral Dissertation, University of Kentucky. Accessed January 17, 2021.
https://uknowledge.uky.edu/ece_etds/2.
MLA Handbook (7th Edition):
Zhao, Jian. “Camera Planning and Fusion in a Heterogeneous Camera Network.” 2011. Web. 17 Jan 2021.
Vancouver:
Zhao J. Camera Planning and Fusion in a Heterogeneous Camera Network. [Internet] [Doctoral dissertation]. University of Kentucky; 2011. [cited 2021 Jan 17].
Available from: https://uknowledge.uky.edu/ece_etds/2.
Council of Science Editors:
Zhao J. Camera Planning and Fusion in a Heterogeneous Camera Network. [Doctoral Dissertation]. University of Kentucky; 2011. Available from: https://uknowledge.uky.edu/ece_etds/2
Texas A&M University
9.
Yu, Dan.
State Estimation of Spatio-Temporal Phenomena.
Degree: PhD, Aerospace Engineering, 2016, Texas A&M University
URL: http://hdl.handle.net/1969.1/159046
► This dissertation addresses the state estimation problem of spatio-temporal phenomena which can be modeled by partial differential equations (PDEs), such as pollutant dispersion in the…
(more)
▼ This dissertation addresses the state estimation problem of spatio-temporal phenomena which can be modeled by partial differential equations (PDEs), such as pollutant dispersion in the atmosphere. After discretizing the PDE, the dynamical system has a large number of degrees of freedom (DOF). State estimation using Kalman Filter (KF) is computationally intractable, and hence, a reduced order model (ROM) needs to be constructed first. Moreover, the nonlinear terms, external disturbances or unknown boundary conditions can be modeled as unknown inputs, which leads to an unknown input filtering problem. Furthermore, the performance of KF could be improved by placing sensors at feasible locations. Therefore, the
sensor scheduling problem to place multiple mobile sensors is of interest.
The first part of the dissertation focuses on model reduction for large scale systems with a large number of inputs/outputs. A commonly used model reduction algorithm, the balanced proper orthogonal decomposition (BPOD) algorithm, is not computationally tractable for large systems with a large number of inputs/outputs. Inspired by the BPOD and randomized algorithms, we propose a randomized proper orthogonal decomposition (RPOD) algorithm and a computationally optimal RPOD (RPOD*) algorithm, which construct an ROM to capture the input-output behaviour of the full order model, while reducing the computational cost of BPOD by orders of magnitude. It is demonstrated that the proposed RPOD_ algorithm could construct the ROM in real-time, and the performance of the proposed algorithms on different
advection-diffusion equations.
Next, we consider the state estimation problem of linear discrete-time systems with unknown inputs which can be treated as a wide-sense stationary process with rational power spectral density, while no other prior information needs to be known. We propose an autoregressive (AR) model based unknown input realization technique which allows us to recover the input statistics from the output data by solving an appropriate least squares problem, then fit an AR model to the recovered input statistics and construct an innovations model of the unknown inputs using the eigensystem realization algorithm. The proposed algorithm outperforms the augmented two-stage Kalman Filter (ASKF) and the unbiased minimum-variance (UMV) algorithm are shown in several examples.
Finally, we propose a framework to place multiple mobile sensors to optimize the long-term performance of KF in the estimation of the state of a PDE. The major challenges are that placing multiple sensors is an NP-hard problem, and the optimization problem is non-convex in general. In this dissertation, first, we construct an ROM using RPOD_ algorithm, and then reduce the feasible
sensor locations into a subset using the ROM. The Information Space Receding Horizon Control (I-RHC) approach and a modified Monte Carlo Tree Search (MCTS) approach are applied to solve the
sensor scheduling problem using the subset. Various applications have been provided to demonstrate the…
Advisors/Committee Members: Chakravorty, Suman (advisor), Junkins, John L. (committee member), Girimaji, Sharath (committee member), Darbha, Swaroop (committee member).
Subjects/Keywords: model reduction; spatio-temporal system; sensor placement; unknown input filtering
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APA (6th Edition):
Yu, D. (2016). State Estimation of Spatio-Temporal Phenomena. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159046
Chicago Manual of Style (16th Edition):
Yu, Dan. “State Estimation of Spatio-Temporal Phenomena.” 2016. Doctoral Dissertation, Texas A&M University. Accessed January 17, 2021.
http://hdl.handle.net/1969.1/159046.
MLA Handbook (7th Edition):
Yu, Dan. “State Estimation of Spatio-Temporal Phenomena.” 2016. Web. 17 Jan 2021.
Vancouver:
Yu D. State Estimation of Spatio-Temporal Phenomena. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1969.1/159046.
Council of Science Editors:
Yu D. State Estimation of Spatio-Temporal Phenomena. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159046
Texas A&M University
10.
Ramesh, Karthika.
Multi-Hazard Response Characterization of Tall Buildings.
Degree: MS, Civil Engineering, 2016, Texas A&M University
URL: http://hdl.handle.net/1969.1/157979
► The series of recent extreme weather events and subsequent damage to the infrastructure has led to an increased concern regarding the design of structural systems…
(more)
▼ The series of recent extreme weather events and subsequent damage to the infrastructure has led to an increased concern regarding the design of structural systems for multi-hazard criteria. Since much of the multi-storied infrastructure of the twentieth century exceeds nearly fifty years of service, innovative instrumentation of buildings has attracted a great deal of research attention. These increased environmental concerns coupled with the increasing population density result in the operational demand on these structures far exceeding their original design criteria or capacity.
This research addresses the response characterization of tall building structures
subject to strong ground motion and wind loading. The time history of various building designs is developed using a finite element idealization of the building
subject to various environmental loading scenarios. The resulting time series of the response behavior is obtained at each building floor elevation. The characterization of response behavior is analyzed using the Time Domain Decomposition (TDD) method, which requires no prior assumptions about the nature of time series or the excitation. TDD’s application is first studied on a 20-story building where the first three translational and rotational modes are examined. The analysis is then extended to a more flexible 52-story idealized version of a prototype of the Prudential Tower located in Boston, Massachusetts. This research study investigates the reconstruction of response time series for arrays of sensors located at various floor elevations recognizing that
sensor failure may occur and that some information may be lost.
The
sensor configurations presented are used to illustrate some of the intricacies involved in the application of the TDD method that affect the accuracy of the reconstruction of time domain response behavior. The interpretation of data based upon modal filtering was demonstrated to influence the process of signal reconstruction, complicating the relationship between the number of sensors and the modal information. Further, it was observed that the response behavior due to wind loading, which is basically a unidirectional load varying with both elevation and time, when compared with that from the bidirectional seismic loading case is quite different although they excite similar modal frequencies. The insights gained from this study help to quantify the role of
sensor placement on tall buildings that are
subject to regional multi-hazard loading that will vary in terms of both the nature and intensity of dynamic excitation. The research study also identified deficiencies in the underlying methodology that need further investigation to improve the robustness of this approach as a tool for dynamic response characterization.
Advisors/Committee Members: Niedzwecki, John M (advisor), Barroso, Luciana R (committee member), Newton, Joseph (committee member).
Subjects/Keywords: response reconstruction; multi-hazard; time series; sensor placement
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APA (6th Edition):
Ramesh, K. (2016). Multi-Hazard Response Characterization of Tall Buildings. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157979
Chicago Manual of Style (16th Edition):
Ramesh, Karthika. “Multi-Hazard Response Characterization of Tall Buildings.” 2016. Masters Thesis, Texas A&M University. Accessed January 17, 2021.
http://hdl.handle.net/1969.1/157979.
MLA Handbook (7th Edition):
Ramesh, Karthika. “Multi-Hazard Response Characterization of Tall Buildings.” 2016. Web. 17 Jan 2021.
Vancouver:
Ramesh K. Multi-Hazard Response Characterization of Tall Buildings. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1969.1/157979.
Council of Science Editors:
Ramesh K. Multi-Hazard Response Characterization of Tall Buildings. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157979
Iowa State University
11.
Fontanini, Anthony David.
Analyzing the characteristics of contaminant transport using the Perron-Frobenius operator in indoor building environments.
Degree: 2016, Iowa State University
URL: https://lib.dr.iastate.edu/etd/15909
► People in the developed world spend the majority of their lives indoors. While inside, people can be exposed to many different gaseous and particulate contaminants.…
(more)
▼ People in the developed world spend the majority of their lives indoors. While inside,
people can be exposed to many different gaseous and particulate contaminants. Both short
term and long term exposure to these contaminants have a wide range of health related
outcomes from mild discomfort to heart disease, cancer, and even death. The purpose of this
research is to provide a computational framework for fast predictions of the transport of
contaminants, which is used to identify optimal locations for sensors, and finally the
framework is utilized to provide performance measures for ventilation system during the
design stage. All these applications can be analyzed using the discrete form of the Perron-
Frobenius operator, also known as Markov matrices. Two different methods are developed
for fast and accurate calculations of contaminant transport at large Courant numbers. Once
the Markov matrices are calculated, they are used to position sensors where contaminants are likely to collect and are used to quantify mechanical ventilation performance. The methods developed may be used to develop evacuation for people during a release of a toxic gas or airborne infectious disease, execute containment plans of potentially harmful airborne
contaminants, and the control of HVAC systems to provide adequate ventilation and clean/fresh air to the occupied space.
Subjects/Keywords: Contaminant transport; Markov Matrices; Quantifying mechanical ventilation; Sensor placement; Mechanical Engineering
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APA (6th Edition):
Fontanini, A. D. (2016). Analyzing the characteristics of contaminant transport using the Perron-Frobenius operator in indoor building environments. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/15909
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Fontanini, Anthony David. “Analyzing the characteristics of contaminant transport using the Perron-Frobenius operator in indoor building environments.” 2016. Thesis, Iowa State University. Accessed January 17, 2021.
https://lib.dr.iastate.edu/etd/15909.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Fontanini, Anthony David. “Analyzing the characteristics of contaminant transport using the Perron-Frobenius operator in indoor building environments.” 2016. Web. 17 Jan 2021.
Vancouver:
Fontanini AD. Analyzing the characteristics of contaminant transport using the Perron-Frobenius operator in indoor building environments. [Internet] [Thesis]. Iowa State University; 2016. [cited 2021 Jan 17].
Available from: https://lib.dr.iastate.edu/etd/15909.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Fontanini AD. Analyzing the characteristics of contaminant transport using the Perron-Frobenius operator in indoor building environments. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/15909
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Virginia Commonwealth University
12.
Jung, Changyong.
ON RELAY NODE PLACEMENT PROBLEM FOR SURVIVABLE WIRELESS SENSOR NETWORKS.
Degree: PhD, Engineering, 2013, Virginia Commonwealth University
URL: https://doi.org/10.25772/YAHD-QT19
;
https://scholarscompass.vcu.edu/etd/570
► Wireless sensor networks are widely applied to many fields such as animal habitat monitoring, air traffic control, and health monitoring. One of the current problems…
(more)
▼ Wireless
sensor networks are widely applied to many fields such as animal habitat monitoring, air traffic control, and health monitoring. One of the current problems with wireless
sensor networks is the ability to overcome communication failures due to hardware failure, distributing sensors in an uneven geographic area, or unexpected obstacles between sensors. One common solution to overcome this problem is to place a minimum number of relay nodes among sensors so that the communication among sensors is guaranteed. This is called Relay Node
Placement Problem (RNP). This problem has been proved as NP-hard for a simple connected graph. Therefore, many algorithms have been developed based on Steiner graphs. Since RNP for a connected graph is NP-hard, the RNP for a survivable network has been conjectured as NP-hard and the algorithms for a survivable network have also been developed based on Steiner graphs. In this study, we show the new approximation bound for the survivable wireless
sensor networks using the Steiner graphs based algorithm. We prove that the approximation bound is guaranteed in an environment where some obstacles are laid, and also propose the newly developed algorithm which places fewer relay nodes than the existing algorithms. Consequently, the main purpose of this study is to find the minimum number of relay nodes in order to meet the survivability requirements of wireless
sensor networks.
Advisors/Committee Members: Yu Meng.
Subjects/Keywords: Wireless Sensor Networks; Relay Node Placement; Survivability.; Engineering
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Manager
APA (6th Edition):
Jung, C. (2013). ON RELAY NODE PLACEMENT PROBLEM FOR SURVIVABLE WIRELESS SENSOR NETWORKS. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/YAHD-QT19 ; https://scholarscompass.vcu.edu/etd/570
Chicago Manual of Style (16th Edition):
Jung, Changyong. “ON RELAY NODE PLACEMENT PROBLEM FOR SURVIVABLE WIRELESS SENSOR NETWORKS.” 2013. Doctoral Dissertation, Virginia Commonwealth University. Accessed January 17, 2021.
https://doi.org/10.25772/YAHD-QT19 ; https://scholarscompass.vcu.edu/etd/570.
MLA Handbook (7th Edition):
Jung, Changyong. “ON RELAY NODE PLACEMENT PROBLEM FOR SURVIVABLE WIRELESS SENSOR NETWORKS.” 2013. Web. 17 Jan 2021.
Vancouver:
Jung C. ON RELAY NODE PLACEMENT PROBLEM FOR SURVIVABLE WIRELESS SENSOR NETWORKS. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2013. [cited 2021 Jan 17].
Available from: https://doi.org/10.25772/YAHD-QT19 ; https://scholarscompass.vcu.edu/etd/570.
Council of Science Editors:
Jung C. ON RELAY NODE PLACEMENT PROBLEM FOR SURVIVABLE WIRELESS SENSOR NETWORKS. [Doctoral Dissertation]. Virginia Commonwealth University; 2013. Available from: https://doi.org/10.25772/YAHD-QT19 ; https://scholarscompass.vcu.edu/etd/570
13.
Kimbrough, Hal Reuben.
Optimal sensor placement for sewer capacity risk management.
Degree: PhD, Systems Engineering, 2019, Colorado State University
URL: http://hdl.handle.net/10217/195315
► Complex linear assets, such as those found in transportation and utilities, are vital to economies, and in some cases, to public health. Wastewater collection systems…
(more)
▼ Complex linear assets, such as those found in transportation and utilities, are vital to economies, and in some cases, to public health. Wastewater collection systems in the United States are vital to both. Yet effective approaches to remediating failures in these systems remains an unresolved shortfall for system operators. This shortfall is evident in the estimated 850 billion gallons of untreated sewage that escapes combined sewer pipes each year (US EPA 2004a) and the estimated 40,000 sanitary sewer overflows and 400,000 backups of untreated sewage into basements (US EPA 2001). Failures in wastewater collection systems can be prevented if they can be detected in time to apply intervention strategies such as pipe maintenance, repair, or rehabilitation. This is the essence of a risk management process. The International Council on Systems Engineering recommends that risks be prioritized as a function of severity and occurrence and that criteria be established for acceptable and unacceptable risks (INCOSE 2007). A significant impediment to applying generally accepted risk models to wastewater collection systems is the difficulty of quantifying risk likelihoods. These difficulties stem from the size and complexity of the systems, the lack of data and statistics characterizing the distribution of risk, the high cost of evaluating even a small number of components, and the lack of methods to quantify risk. This research investigates new methods to assess risk likelihood of failure through a novel approach to
placement of sensors in wastewater collection systems. The hypothesis is that iterative movement of water level sensors, directed by a specialized metaheuristic search technique, can improve the efficiency of discovering locations of unacceptable risk. An agent-based simulation is constructed to validate the performance of this technique along with testing its sensitivity to varying environments. The results demonstrated that a multi-phase search strategy, with a varying number of sensors deployed in each phase, could efficiently discover locations of unacceptable risk that could be managed via a perpetual monitoring, analysis, and remediation process. A number of promising well-defined future research opportunities also emerged from the performance of this research.
Advisors/Committee Members: Duff, William (advisor), Grigg, Neil (advisor), Labadie, John (committee member), Ham, Jay (committee member).
Subjects/Keywords: FMEA; risk management; wastewater; metaheuristics; agent-based models; sensor placement
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APA ·
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Manager
APA (6th Edition):
Kimbrough, H. R. (2019). Optimal sensor placement for sewer capacity risk management. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195315
Chicago Manual of Style (16th Edition):
Kimbrough, Hal Reuben. “Optimal sensor placement for sewer capacity risk management.” 2019. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021.
http://hdl.handle.net/10217/195315.
MLA Handbook (7th Edition):
Kimbrough, Hal Reuben. “Optimal sensor placement for sewer capacity risk management.” 2019. Web. 17 Jan 2021.
Vancouver:
Kimbrough HR. Optimal sensor placement for sewer capacity risk management. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/10217/195315.
Council of Science Editors:
Kimbrough HR. Optimal sensor placement for sewer capacity risk management. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195315
University of Wollongong
14.
Yang, Changlin.
Coverage problems in energy harvesting wireless sensor networks.
Degree: PhD, 2015, University of Wollongong
URL: 0805
DISTRIBUTED
COMPUTING,
0906
ELECTRICAL
AND
ELECTRONIC
ENGINEERING
;
https://ro.uow.edu.au/theses/4434
► A Wireless Sensor Network (WSN), in general, contains many low-cost sensor nodes, each with the capability to monitor its surrounding environment. As conventional or…
(more)
▼ A Wireless Sensor Network (WSN), in general, contains many low-cost sensor nodes, each with the capability to monitor its surrounding environment. As conventional or non-rechargeable WSNs are restricted by the nite battery capacity of sensor nodes, researchers have sought the help of renewable energy techniques such as solar and wind. Consequently, each sensor node, in the resulting energy harvesting WSN, is able to harvest energy and recharge its battery from its environment. Assuming no other failures, WSNs are now able to operate perpectually if all nodes have energy neutral operation; i.e., they harvest more energy than what they spend.
A fundamental problem in energy harvesting WSNs is to maximize coverage, whereby the goal is to capture events of interest that occur in one or more target areas. In this respect, duty cycling for complete targets coverage is important. Its objective is to ensure all targets are monitored continuously by at least one sensor node, whilst other sensor nodes can be in a low power sleep state to conserve energy and to recharge their battery. To date, existing works only study the duty cycling for complete targets coverage problem in non-rechargeable WSNs where the sensor nodes have no ability to refresh their battery. Moreover, past works on energy harvesting WSNs focus on maximizing event detection probability and do not require all targets to be monitored at all times.
To this end, this thesis rst addresses the duty cycling for complete targets coverage problem in energy harvesting WSNs. Specifically, it is the first to propose the Maximum Lifetime Coverage with Energy Harvesting node (MLCEH) problem. Its objective is to determine the activation schedule of sensor nodes such that network lifetime is maximal whilst ensuring all targets are monitored by at least one sensor node at all times. To address the MLCEH problem, this thesis proposes two novel solutions, called LP-MLCEH and Maximum Utility Algorithm (MUA). The first uses Linear Programming (LP), and the other relies on a greedy selection policy. Simulation results show that LP-MLCEH doubles the network lifetime obtained by a similar algorithm developed for finite battery WSNs. Moreover, MUA achieves 3/4 of the network lifetime achieved by LP-MLCEH at a fraction of LP-MLCEH's computation time.
This thesis also considers a scenario where the information from sensor nodes may be staled, meaning the sink does not have an accurate knowledge of the battery level at each sensor node. To cope with this uncertainty, this thesis proposes a two stage Stochastic Programming (SP) based Uncertain Maximum Lifetime Coverage solution, called SP-UMLC, which achieves 80% of the theoretically achievable network lifetime.
After that, this thesis outlines a distributed algorithm called Maximum Energy Protection (MEP) to allow a sensor node to turn itself on/off using two-hops information. It compares MEP with two distributed algorithms developed for finite battery WSNs. Results show that MEP increases network lifetime…
Subjects/Keywords: Wireless sensor network; linear program; schedule; energy harvesting; node placement
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APA ·
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Export
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Manager
APA (6th Edition):
Yang, C. (2015). Coverage problems in energy harvesting wireless sensor networks. (Doctoral Dissertation). University of Wollongong. Retrieved from 0805 DISTRIBUTED COMPUTING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; https://ro.uow.edu.au/theses/4434
Chicago Manual of Style (16th Edition):
Yang, Changlin. “Coverage problems in energy harvesting wireless sensor networks.” 2015. Doctoral Dissertation, University of Wollongong. Accessed January 17, 2021.
0805 DISTRIBUTED COMPUTING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; https://ro.uow.edu.au/theses/4434.
MLA Handbook (7th Edition):
Yang, Changlin. “Coverage problems in energy harvesting wireless sensor networks.” 2015. Web. 17 Jan 2021.
Vancouver:
Yang C. Coverage problems in energy harvesting wireless sensor networks. [Internet] [Doctoral dissertation]. University of Wollongong; 2015. [cited 2021 Jan 17].
Available from: 0805 DISTRIBUTED COMPUTING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; https://ro.uow.edu.au/theses/4434.
Council of Science Editors:
Yang C. Coverage problems in energy harvesting wireless sensor networks. [Doctoral Dissertation]. University of Wollongong; 2015. Available from: 0805 DISTRIBUTED COMPUTING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; https://ro.uow.edu.au/theses/4434
University of Minnesota
15.
Gustafson, Kali.
Sparsity-Promoting Estimator Design for Acceleration Sensor Placement in Civil Structures.
Degree: MS, Civil Engineering, 2019, University of Minnesota
URL: http://hdl.handle.net/11299/206179
► The scale of civil systems makes it impossible to measure all degrees of freedom. Therefore, a limited number of measurements are leveraged to obtain a…
(more)
▼ The scale of civil systems makes it impossible to measure all degrees of freedom. Therefore, a limited number of measurements are leveraged to obtain a full set of state estimates (e.g. displacement and velocity responses). Spatially sparse feedback, which limits the information and the number of sensors, requires the selection of essential measurements. The exact placement problem considers all possible combinations of sensors, which presents computational challenges for large systems. When applied to benchmark structures, the Kalman filter alternating direction method of multipliers (kfadmm) algorithm systematically balances measurement sparsity and estimator error covariance in acceleration sensor selection. Compared to the exact and sequential sensor placement methods, the kfadmm approach selects similar sensors with slightly higher estimation error and fewer combinations considered. In kfadmm, the best number of sensors for a given application can be determined after looking at the increase in the error as sensors are removed from the system.
Subjects/Keywords: Building structures; Kalman filter; Sensor placement; State estimation
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APA (6th Edition):
Gustafson, K. (2019). Sparsity-Promoting Estimator Design for Acceleration Sensor Placement in Civil Structures. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206179
Chicago Manual of Style (16th Edition):
Gustafson, Kali. “Sparsity-Promoting Estimator Design for Acceleration Sensor Placement in Civil Structures.” 2019. Masters Thesis, University of Minnesota. Accessed January 17, 2021.
http://hdl.handle.net/11299/206179.
MLA Handbook (7th Edition):
Gustafson, Kali. “Sparsity-Promoting Estimator Design for Acceleration Sensor Placement in Civil Structures.” 2019. Web. 17 Jan 2021.
Vancouver:
Gustafson K. Sparsity-Promoting Estimator Design for Acceleration Sensor Placement in Civil Structures. [Internet] [Masters thesis]. University of Minnesota; 2019. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/11299/206179.
Council of Science Editors:
Gustafson K. Sparsity-Promoting Estimator Design for Acceleration Sensor Placement in Civil Structures. [Masters Thesis]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/206179
University of Maryland
16.
Pourali, Masoud.
A Bayesian Approach to Sensor Placement and System Health Monitoring.
Degree: Mechanical Engineering, 2012, University of Maryland
URL: http://hdl.handle.net/1903/12999
► System health monitoring and sensor placement are areas of great technical and scientific interest. Prognostics and health management of a complex system require multiple sensors…
(more)
▼ System health monitoring and
sensor placement are areas of great technical and scientific interest. Prognostics and health management of a complex system require multiple sensors to extract required information from the sensed environment, because no single
sensor can obtain all the required information reliably at all times. The increasing costs of aging systems and infrastructures have become a major concern, and system health monitoring techniques can ensure increased safety and reliability of these systems. Similar concerns also exist for newly designed systems.
The main objectives of this research were: (1) to find an effective way for optimal functional
sensor placement under uncertainty, and (2) to develop a system health monitoring approach with both prognostic and diagnostic capabilities with limited and uncertain information sensing and monitoring points. This dissertation provides a functional/information – based
sensor placement methodology for monitoring the health (state of reliability) of a system and utilizes it in a new system health monitoring approach.
The developed
sensor placement method is based on Bayesian techniques and is capable of functional
sensor placement under uncertainty. It takes into account the uncertainty inherent in characteristics of sensors as well. It uses Bayesian networks for modeling and reasoning the uncertainties as well as for updating the state of knowledge for unknowns of interest and utilizes information metrics for
sensor placement based on the amount of information each possible
sensor placement scenario provides.
A new system health monitoring methodology is also developed which is: (1) capable of assessing current state of a system's health and can predict the remaining life of the system (prognosis), and (2) through appropriate data processing and interpretation can point to elements of the system that have or are likely to cause system failure or degradation (diagnosis). It can also be set up as a dynamic monitoring system such that through consecutive time steps, the system sensors perform observations and send data to the Bayesian network for continuous health assessment.
The proposed methodology is designed to answer important questions such as how to infer the health of a system based on limited number of monitoring points at certain subsystems (upward propagation); how to infer the health of a subsystem based on knowledge of the health of the main system (downward propagation); and how to infer the health of a subsystem based on knowledge of the health of other subsystems (distributed propagation).
Advisors/Committee Members: Mosleh, Ali (advisor).
Subjects/Keywords: Engineering; Bayesian Network; Bayesian Sensor Placement; System Health Monitoring
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Pourali, M. (2012). A Bayesian Approach to Sensor Placement and System Health Monitoring. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12999
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Pourali, Masoud. “A Bayesian Approach to Sensor Placement and System Health Monitoring.” 2012. Thesis, University of Maryland. Accessed January 17, 2021.
http://hdl.handle.net/1903/12999.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Pourali, Masoud. “A Bayesian Approach to Sensor Placement and System Health Monitoring.” 2012. Web. 17 Jan 2021.
Vancouver:
Pourali M. A Bayesian Approach to Sensor Placement and System Health Monitoring. [Internet] [Thesis]. University of Maryland; 2012. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1903/12999.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Pourali M. A Bayesian Approach to Sensor Placement and System Health Monitoring. [Thesis]. University of Maryland; 2012. Available from: http://hdl.handle.net/1903/12999
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of New South Wales
17.
Oromiehie, Ebrahim.
In-situ process monitoring in automated fibre placement-based manufacturing of advanced composites.
Degree: Mechanical & Manufacturing Engineering, 2017, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/59534
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48780/SOURCE02?view=true
► The automated fibre placement (AFP) offers high throughput and efficient manufacturing methods for making multi- stiffenedlaminated composites. This revolutionary technique has opened up a wide…
(more)
▼ The automated fibre
placement (AFP) offers high throughput and efficient manufacturing methods for making multi- stiffenedlaminated composites. This revolutionary technique has opened up a wide range of applications and newmarkets for fibre-reinforced composite materials in many industrial applications like aerospace. However, processingconditions, machine tolerances and steering of material can induce random defects within the laminate, which maycompromise the structural integrity. The presence of such defects may result in catastrophic failure of AFPmanufactured laminates, hence identifying them at the earlier stages of manufacturing is critical to ensure the qualityof final product. The objective of this thesis is to establish a reliable inspection technique for AFP to ensure thestructural integrity. An on-line monitoring technique need to be developed for in-situ health monitoring of AFPcomposites that has been a major concern of composite manufacturers.In this thesis, a novel method using optical fibre Bragg grating (FBG)
sensor is implemented towards the in-situprocess monitoring of AFP. As a preliminary study, Carbon/Glass fibre reinforced polymer composite specimens withembedded
sensor were made using conventional manufacturing methods and their performance were studied underdifferent loading conditions. Then, the FBGs were embedded within the AFP manufactured laminates for in-situ layupprocess monitoring and identifying misalignment defects which were artificially created between the plies.Moreover, a new sensing head was utilised to discriminate the strain and temperature effects. Finally, thecomputational approach is carried out using finite element analysis to validate the experimental results.Through a series of experimental studies it is shown that, the lay-up process conditions and misalignment defects canbe monitored successfully using FBGs via measuring the reflected wavelengths, which are related to consolidationpressure and curing temperatures. It can also be witnessed that the effects of stacking plies, recovering time andresidual strain on the measured wavelength can be measured in real time. Finally, it is demonstrated that by utilising anew FBG configuration the strain and temperature during the lay-up process can be measured simultaneously. Themeasured strain and temperature values were in the acceptable range, establishing the close agreement ofexperimental and simulation results.
Advisors/Committee Members: Prof.Prusty, Gangadhara, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW, Dr. Compston, Paul, Research School of Engineering, The Australian National University., Dr. Rajan, Ginu, School of Electrical, Computer and Telecommunications Engineering, University of Wollongong., Dr. Pearce, Garth, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW.
Subjects/Keywords: In-situ process monitoring; Automated fibre placement; Fibre Bragg grating sensor
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APA (6th Edition):
Oromiehie, E. (2017). In-situ process monitoring in automated fibre placement-based manufacturing of advanced composites. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59534 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48780/SOURCE02?view=true
Chicago Manual of Style (16th Edition):
Oromiehie, Ebrahim. “In-situ process monitoring in automated fibre placement-based manufacturing of advanced composites.” 2017. Doctoral Dissertation, University of New South Wales. Accessed January 17, 2021.
http://handle.unsw.edu.au/1959.4/59534 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48780/SOURCE02?view=true.
MLA Handbook (7th Edition):
Oromiehie, Ebrahim. “In-situ process monitoring in automated fibre placement-based manufacturing of advanced composites.” 2017. Web. 17 Jan 2021.
Vancouver:
Oromiehie E. In-situ process monitoring in automated fibre placement-based manufacturing of advanced composites. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2021 Jan 17].
Available from: http://handle.unsw.edu.au/1959.4/59534 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48780/SOURCE02?view=true.
Council of Science Editors:
Oromiehie E. In-situ process monitoring in automated fibre placement-based manufacturing of advanced composites. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/59534 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48780/SOURCE02?view=true
18.
Kasper, Kévin.
Apprentissage d'estimateurs sans modèle avec peu de mesures - Application à la mécanique des fluides : Machine learning of model-less estimators using a limited amount of sensors - Applied to fluid flows.
Degree: Docteur es, Traitement du signal et des images, 2016, Université Paris-Saclay (ComUE)
URL: http://www.theses.fr/2016SACLN029
► Cette thèse traite de techniques promouvant la parcimonie pour déterminer des estimateurs performants n’utilisant les mesures que d’un très faible nombre de capteurs. La position…
(more)
▼ Cette thèse traite de techniques promouvant la parcimonie pour déterminer des estimateurs performants n’utilisant les mesures que d’un très faible nombre de capteurs. La position de ces capteurs est cruciale pour de bonnes performances et doit être déterminée avec soin. Les méthodes proposées dans ce travail reposent sur l’utilisation d’une base d’apprentissage du champ d’intérêt considéré et ne nécessitent pas de modèle dynamique du système physique. Les éléments de cette base d’apprentissage sont obtenus à l’aide de mesures effectuées sur le système réel ou par simulation numérique. Se basant uniquement sur ces éléments d’apprentissage, et non sur des modèles dynamiques, les approches proposées sont générales et applicables à des systèmes issus de domaines variés.Les approches proposées sont illustrées sur le cas d’un écoulement fluide 2-D autour d’un obstacle cylindrique. Le champ de pression dans un voisinage du cylindre doit être estimé à partir de quelques mesures de pression effectuées en paroi. En utilisant des positions préalablement fixées des capteurs, des estimateurs adaptés à ces positions sont proposés. Ces estimateurs tirent pleinement parti du très faible nombre de mesures en manipulant des représentations creuses et en exploitant la notion de classes. Des situations où les mesures ne portent pas sur le champ d’intérêt à estimer peuvent également être traitées. Un algorithme de placement de capteurs est proposé et permet une amélioration significative des performances des estimateurs par rapport à des capteurs placés a priori.Plusieurs extensions sont discutées : utilisation de mesures passées, utilisation de commandes passées, estimation du champ d’une quantité d’intérêt reliée de façon non linéaire aux mesures, estimation d’un champ à valeurs vectorielles, etc.
This thesis deals with sparsity promoting techniques in order to produce efficient estimators relying only on a small amount of measurements given by sensors. These sensor locations are crucial to the estimators and have to be chosen meticulously. The proposed methods do not require dynamical models and are instead based on a collection of snapshots of the field of interest. This learning sequence can be acquired through measurements on the real system or through numerical simulation. By relying only on a learning sequence, and not on dynamical models, the proposed methods become general and applicable to a variety of systems.These techniques are illustrated on the 2-D fluid flow around a cylindrical body. The pressure field in the neighbourhood of the cylinder has to be estimated from a limited amount of surface pressure measurements. For a given arrangement of the sensors, efficient estimators suited to these locations are proposed. These estimators fully harness the information given by the limited amount of sensors by manipulating sparse representations and classes. Cases where the measurements are no longer made on the field to be estimated can also be considered. A sensor placement algorithm is proposed in order to improve the…
Advisors/Committee Members: Abou-Kandil, Hisham (thesis director).
Subjects/Keywords: Estimation sans modèle; Parcimonie; Placement de Capteurs; Apprentissage; Classification; Model-Less estimators; Sparsity; Sensor Placement; Machine learning; Classification
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kasper, K. (2016). Apprentissage d'estimateurs sans modèle avec peu de mesures - Application à la mécanique des fluides : Machine learning of model-less estimators using a limited amount of sensors - Applied to fluid flows. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2016SACLN029
Chicago Manual of Style (16th Edition):
Kasper, Kévin. “Apprentissage d'estimateurs sans modèle avec peu de mesures - Application à la mécanique des fluides : Machine learning of model-less estimators using a limited amount of sensors - Applied to fluid flows.” 2016. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed January 17, 2021.
http://www.theses.fr/2016SACLN029.
MLA Handbook (7th Edition):
Kasper, Kévin. “Apprentissage d'estimateurs sans modèle avec peu de mesures - Application à la mécanique des fluides : Machine learning of model-less estimators using a limited amount of sensors - Applied to fluid flows.” 2016. Web. 17 Jan 2021.
Vancouver:
Kasper K. Apprentissage d'estimateurs sans modèle avec peu de mesures - Application à la mécanique des fluides : Machine learning of model-less estimators using a limited amount of sensors - Applied to fluid flows. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2016. [cited 2021 Jan 17].
Available from: http://www.theses.fr/2016SACLN029.
Council of Science Editors:
Kasper K. Apprentissage d'estimateurs sans modèle avec peu de mesures - Application à la mécanique des fluides : Machine learning of model-less estimators using a limited amount of sensors - Applied to fluid flows. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2016. Available from: http://www.theses.fr/2016SACLN029
Wayne State University
19.
King, Brady.
Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors.
Degree: PhD, Electrical and Computer Engineering, 2011, Wayne State University
URL: https://digitalcommons.wayne.edu/oa_dissertations/214
► OPTIMAL SURGICAL PORT PLACEMENT AND AUTOMATED ROBOTIC POSITIONING FOR RAMAN AND OTHER BIOSENSORS by BRADY KING January 2011 Advisors: Dr. Abhilash Pandya, Dr. Darin…
(more)
▼ OPTIMAL SURGICAL PORT
PLACEMENT AND AUTOMATED ROBOTIC POSITIONING FOR RAMAN AND OTHER BIOSENSORS
by
BRADY KING
January 2011
Advisors: Dr. Abhilash Pandya, Dr. Darin Ellis, Dr. Le Yi Wang, and Dr. Greg Auner
Major: Computer Engineering
Degree: Doctor of Philosophy
Medical biosensors can provide new information during minimally invasive and robotic surgical procedures. However, these biosensors have significant physical limitations that make it difficult to find optimal port locations and place them
in vivo. This dissertation explores the application of robotics and virtual/augmented reality to biosensors to enable their optimal use
in vivo.
In the first study, human performance in the task of port
placement was evaluated to determine if computer intervention and assistance was needed. Using a virtual surgical environment, we present a number of targets on one or more tissue surfaces. A human factors study was conducted with 20 subjects that analyzed the
subject's
placement of a port with the goal of scanning as many targets as possible with a biosensor. The study showed performance to be less than optimal with significant degradation in several specific scenarios.
In the second study, an automated intelligent port
placement system for biosensor use was developed. Patient data was displayed in an environment in which a surgeon could indicate areas of interest. The system utilized biosensor physical limitations and provided the best port location from which the biosensor could reach the targets on a collision-free path. The study showed that it is possible to find an optimal port location for proper biosensor data capture.
In the final study, a surgical robot was investigated for potential use in holding and positioning a biosensor
in vivo. A full control suite was developed for an AESOP 1000, enabling the positioning of the biosensor without hand manipulation. It was found that the robot lacks the accuracy needed for proper biosensor utilization. Specific causes for the inaccuracies were identified for analysis and consideration in future robotic platforms.
Overall, the results show that the application of medical robotics and virtual/augmented reality is able to overcome of the significant physical limitations inherent to biosensor design that currently limit their use in surgery. We conjecture that a complete system, with a more accurate robot, could be used
in vivo. We believe that results taken from the individual studies will result in improvements to pre-operative port
placement and robotic design.
Advisors/Committee Members: Abhilash Pandya.
Subjects/Keywords: Image-Guided Surgery; Medical Robotics; Port Placement; Raman Spectroscopy; Sensor Integration; Computer Engineering; Robotics; Surgery
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Manager
APA (6th Edition):
King, B. (2011). Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/214
Chicago Manual of Style (16th Edition):
King, Brady. “Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors.” 2011. Doctoral Dissertation, Wayne State University. Accessed January 17, 2021.
https://digitalcommons.wayne.edu/oa_dissertations/214.
MLA Handbook (7th Edition):
King, Brady. “Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors.” 2011. Web. 17 Jan 2021.
Vancouver:
King B. Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors. [Internet] [Doctoral dissertation]. Wayne State University; 2011. [cited 2021 Jan 17].
Available from: https://digitalcommons.wayne.edu/oa_dissertations/214.
Council of Science Editors:
King B. Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors. [Doctoral Dissertation]. Wayne State University; 2011. Available from: https://digitalcommons.wayne.edu/oa_dissertations/214
Queens University
20.
Al-Salih, Waleed.
Mobile Data Collectors in Wireless Sensor Networks
.
Degree: Computing, 2009, Queens University
URL: http://hdl.handle.net/1974/1815
► Recent advances in wireless and sensing technologies have enabled the deployment of large scale Wireless Sensor Networks (WSNs) which have a wide range of scientific…
(more)
▼ Recent advances in wireless and sensing technologies have enabled the deployment of large scale Wireless Sensor Networks (WSNs) which have a wide range of scientific and commercial applications. However, due to the limited energy supply of sensor nodes, extending the network lifetime has become crucial for WSNs to deliver their promised benefits. Several proposals have aimed at this objective by designing energy efficient protocols at the physical, medium access, and network layers. While the proposed protocols achieve significant energy savings for individual sensor nodes, they fail to solve topology-related problems. An example of such problems is the bottlenecks around the sink, which is a direct result of multi-hop relaying: sensor nodes around the sink relay data generated all over the network which makes them deplete their energy much faster than other nodes.
A natural solution to this problem is to have multiple mobile data collectors so that the load is distributed evenly among all nodes. We investigate this promising direction for balancing the load and, hence, prolonging the lifetime of the network. We design optimization schemes for routing and placement of mobile data collectors in WSNs. We show, by theoretical analysis and simulations, that our approach has the potential to prolong the lifetime of the network significantly.
Subjects/Keywords: Wireless sensor network
;
Mobile
;
Placement
;
Routing
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APA ·
Chicago ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Al-Salih, W. (2009). Mobile Data Collectors in Wireless Sensor Networks
. (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/1815
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Al-Salih, Waleed. “Mobile Data Collectors in Wireless Sensor Networks
.” 2009. Thesis, Queens University. Accessed January 17, 2021.
http://hdl.handle.net/1974/1815.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Al-Salih, Waleed. “Mobile Data Collectors in Wireless Sensor Networks
.” 2009. Web. 17 Jan 2021.
Vancouver:
Al-Salih W. Mobile Data Collectors in Wireless Sensor Networks
. [Internet] [Thesis]. Queens University; 2009. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1974/1815.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Al-Salih W. Mobile Data Collectors in Wireless Sensor Networks
. [Thesis]. Queens University; 2009. Available from: http://hdl.handle.net/1974/1815
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Maryland
21.
Jackson, Christopher Stephen.
Bayesian Inference with Overlapping Data: Methodology and Application to System Reliability Estimation and Sensor Placement Optimization.
Degree: Reliability Engineering, 2011, University of Maryland
URL: http://hdl.handle.net/1903/12404
► Contemporary complex systems generally have multiple sensors embedded at various levels within their structure. Sensors are data gathering mechanisms that measure a systemic quantity (such…
(more)
▼ Contemporary complex systems generally have multiple sensors embedded at various levels within their structure. Sensors are data gathering mechanisms that measure a systemic quantity (such as functionality or failure) providing the engineer with a multitude of reliability information. Data sets are said to be overlapping when drawn simultaneously from multiple sensors in a system. Current methodologies focus on system reliability analysis of non-overlapping data sets. We introduce a Bayesian methodology that allows analysis of overlapping data sets, exploiting their inherent inter-dependence to yield significant additional information.
Data gathered from any sub-system or component contextualizes data gathered from a
sensor placed at the `top' of the system (i.e. systemic functionality) through dependence. A system that is functional in spite of a non-functional sub-system infers information about the reliability characteristics of the clearly functional remainder of the system. The same principle extends to any other
sensor that has subordinate sensors upon which it is observationally dependent. We apply overlapping Bayesian analysis on several example systems to highlight the information inherent in overlapping data sets and compare these results to those obtained by constraining the data to be analysed as if it were non-overlapping.
The Bayesian methodology we introduce deals with on-demand and continuous life metric systems. The likelihood function for on-demand systems accommodates multiple degraded states and relies on an algorithm we introduce that rapidly generates combinations of disjoint cut-sets that imply the evidence. The likelihood function for continuous life-metric systems (such as those whose failure probability is time based) examines each
sensor data when contextualised through all other data sets. We generalise these likelihood functions for uncertain data, allowing simplification through real-life measuring inaccuracies.
Finally, we use the methodologies developed above to assess probable information gain for various
sensor placement permutations. We embed this process into a Bayesian experimental design framework to optimise
sensor placement. This can then be fed into any multi-objective optimization framework, or used in isolation to allow informed
sensor placement.
Advisors/Committee Members: Mosleh, Ali (advisor).
Subjects/Keywords: Engineering; System science; Mechanical engineering; bayesian analysis; overlapping data; sensor placement optimization; system reliability analysis
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Manager
APA (6th Edition):
Jackson, C. S. (2011). Bayesian Inference with Overlapping Data: Methodology and Application to System Reliability Estimation and Sensor Placement Optimization. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12404
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Jackson, Christopher Stephen. “Bayesian Inference with Overlapping Data: Methodology and Application to System Reliability Estimation and Sensor Placement Optimization.” 2011. Thesis, University of Maryland. Accessed January 17, 2021.
http://hdl.handle.net/1903/12404.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jackson, Christopher Stephen. “Bayesian Inference with Overlapping Data: Methodology and Application to System Reliability Estimation and Sensor Placement Optimization.” 2011. Web. 17 Jan 2021.
Vancouver:
Jackson CS. Bayesian Inference with Overlapping Data: Methodology and Application to System Reliability Estimation and Sensor Placement Optimization. [Internet] [Thesis]. University of Maryland; 2011. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1903/12404.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jackson CS. Bayesian Inference with Overlapping Data: Methodology and Application to System Reliability Estimation and Sensor Placement Optimization. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/12404
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
22.
Tsoumanis, Georgios.
Energy consumption optimization in wireless sensor networks.
Degree: 2018, Ionian University; Ιόνιο Πανεπιστήμιο
URL: http://hdl.handle.net/10442/hedi/44185
► Prolonging a wireless sensor network’s lifetime is closely related to energy consump-tion and particularly to the energy hole problem, where sensor nodes close to the…
(more)
▼ Prolonging a wireless sensor network’s lifetime is closely related to energy consump-tion and particularly to the energy hole problem, where sensor nodes close to the sink node consume a considerable amount of their energy for relaying purposes. In order to tackle the energy hole problem’s eects, this thesis proposes two approaches that counter the problem from two perspectives: (i) the minimization of the energy consumption by approaching the sink placement problem as a k-median problem and (ii) the prolongation of the network’s lifetime by recharging its sensor nodes.In the rst approach, an analytical model for analyzing the available energy in the network is proposed. The next step is to analytically model the overall energy consumption as a k-median facility location problem, its solution corresponding to the location of k sinks in the network. As analytically shown, when k sinks are placed according to the solution of the previous facility location problem, then the overall energy consumption is minimized, resulting in a higher energy-saving system. Thus, the saved energy can be further utilized, e.g., to extend the network’s lifetime and support modern replenishing techniques such as energy harvesting and battery recharging. Simulation results validate the analytical model that is the basis of the analysis and conrm the results with respect to the available energy in the network. In particular, signicant energy savings are observed when the analytical results are applied, thus resulting in better energy utilization and subsequent network lifetime increment.The second approach is focused on two proposed recharging policies. The rst one is a simple recharging policy that permits a mobile recharger, initially stationed at the sink node, to move around and replenish any node’s exhausted battery when a certain recharging threshold is violated. This policy, as well as the second pro-posed recharging policy (i.e., the enhanced recharging policy), refer to on-demand recharging policies which base their operation on local information, allowing the mobile recharger to move – upon request – to a node of reduced energy level and re-plenish its battery. When under the enhanced recharging policy and after completing the latter replenishment, the mobile recharger continues operating in a hop-by-hop manner to the neighbor nodes of the lowest energy level, thus replenishing their batteries too. It is shown that the minimization of the recharging distance covered by the mobile recharger is a facility location problem, and particularly an 1-median one. Simulation results, regarding the simple recharging policy, investigate various aspects of it related to the recharging threshold and the level of the energy left in the network nodes’ batteries. In addition, it is shown that when the sink’s location is set to the solution of the particular facility location problem, then the recharging distance is minimized irrespectively of the recharging threshold. As for the enhanced recharging policy’s simulation results, its eectiveness is…
Subjects/Keywords: Δίκτυα αισθητήρων; Ασύρματα δίκτυα; Τοποθέτηση υπηρεσίας; Wireless sensor networks; Facility location; Sink placement
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Manager
APA (6th Edition):
Tsoumanis, G. (2018). Energy consumption optimization in wireless sensor networks. (Thesis). Ionian University; Ιόνιο Πανεπιστήμιο. Retrieved from http://hdl.handle.net/10442/hedi/44185
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Tsoumanis, Georgios. “Energy consumption optimization in wireless sensor networks.” 2018. Thesis, Ionian University; Ιόνιο Πανεπιστήμιο. Accessed January 17, 2021.
http://hdl.handle.net/10442/hedi/44185.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Tsoumanis, Georgios. “Energy consumption optimization in wireless sensor networks.” 2018. Web. 17 Jan 2021.
Vancouver:
Tsoumanis G. Energy consumption optimization in wireless sensor networks. [Internet] [Thesis]. Ionian University; Ιόνιο Πανεπιστήμιο; 2018. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/10442/hedi/44185.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Tsoumanis G. Energy consumption optimization in wireless sensor networks. [Thesis]. Ionian University; Ιόνιο Πανεπιστήμιο; 2018. Available from: http://hdl.handle.net/10442/hedi/44185
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
The Ohio State University
23.
Deosthale, Eeshan Vijay.
Model-Based Fault Diagnosis of Automatic
Transmissions.
Degree: MS, Mechanical Engineering, 2018, The Ohio State University
URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892
► New automatic transmission designs with 6+ speeds provide a significant leap forward in providing greater fuel economy and customer satisfaction compared to earlier transmissions with…
(more)
▼ New automatic transmission designs with 6+ speeds
provide a significant leap forward in providing greater fuel
economy and customer satisfaction compared to earlier transmissions
with 5 or lower speeds. The current trend in automatic
transmissions is to have an increased number of speed ratios. This,
at the same time, puts an additional emphasis on ensuring that the
electronic monitoring and controls system has a high level of
integrity in terms of fault diagnosis and can detect and isolate
all possible critical faults in the system. With increasing number
of speed ratios, the number of clutches and thereby clutch faults
in these transmissions also increases. Detection and isolation of
the clutch faults in all gears is critical, as besides the obvious
safety factor, even minor undetected clutch failure or improper
fault response may adversely affect the drivability of the vehicle
resulting in customer dissatisfaction.This thesis provides a
framework for clutch fault diagnosis in automatic transmissions
using structural analysis-based diagnosis methods. A generalized
way of modeling automatic transmissions for fault diagnosis has
been introduced in this thesis. The first step in diagnosis process
is to identify the required measurements for diagnosis referred to
as
sensor placement. This thesis develops a systematic way to
perform
sensor placement for clutch fault isolation. This thesis
makes an effort to identify the minimum number of sensors required
for fault diagnosis without compromising performance/safety. In
this regard, a way to classify faults according to the risk
potential is discussed which would help in reducing the number of
sensors required for fault diagnosis. As a preceding step of this,
a way to determine fault tolerant action for clutch fault events is
discussed. Reducing the number of required sensors can help in
significant cost reduction for mass produced systems like automatic
transmissions. This thesis also provides a way to design diagnostic
tests to detect and isolate faults. A validation of these tests is
done through computer simulations as well as using experimental
data. Finally, this thesis gives an insight into the ongoing and
future work of fault diagnosis in structurally reconfigurable
systems which is an extension of the work on automatic
transmissions.
Advisors/Committee Members: Rizzoni, Giorgio (Advisor).
Subjects/Keywords: Mechanical Engineering; Automotive Engineering; Automatic Transmission; Fault Diagnosis; Clutch Fault; Structural Analysis; Sensor Placement
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APA ·
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MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Deosthale, E. V. (2018). Model-Based Fault Diagnosis of Automatic
Transmissions. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892
Chicago Manual of Style (16th Edition):
Deosthale, Eeshan Vijay. “Model-Based Fault Diagnosis of Automatic
Transmissions.” 2018. Masters Thesis, The Ohio State University. Accessed January 17, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892.
MLA Handbook (7th Edition):
Deosthale, Eeshan Vijay. “Model-Based Fault Diagnosis of Automatic
Transmissions.” 2018. Web. 17 Jan 2021.
Vancouver:
Deosthale EV. Model-Based Fault Diagnosis of Automatic
Transmissions. [Internet] [Masters thesis]. The Ohio State University; 2018. [cited 2021 Jan 17].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892.
Council of Science Editors:
Deosthale EV. Model-Based Fault Diagnosis of Automatic
Transmissions. [Masters Thesis]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892
Utah State University
24.
Shekaramiz, Mohammad.
Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors.
Degree: PhD, Electrical and Computer Engineering, 2018, Utah State University
URL: https://digitalcommons.usu.edu/etd/7384
► The work in this dissertation is focused on two areas within the general discipline of statistical signal processing. First, several new algorithms are developed…
(more)
▼ The work in this dissertation is focused on two areas within the general discipline of statistical signal processing. First, several new algorithms are developed and exhaustively tested for solving the inverse problem of compressive sensing (CS). CS is a recently developed sub-sampling technique for signal acquisition and reconstruction which is more efficient than the traditional Nyquist sampling method. It provides the possibility of compressed data acquisition approaches to directly acquire just the important information of the signal of interest. Many natural signals are sparse or compressible in some domain such as pixel domain of images, time, frequency and so forth. The notion of compressibility or sparsity here means that many coefficients of the signal of interest are either zero or of low amplitude, in some domain, whereas some are dominating coefficients. Therefore, we may not need to take many direct or indirect samples from the signal or phenomenon to be able to capture the important information of the signal. As a simple example, one can think of a system of linear equations with N unknowns. Traditional methods suggest solving N linearly independent equations to solve for the unknowns. However, if many of the variables are known to be zero or of low amplitude, then intuitively speaking, there will be no need to have N equations. Unfortunately, in many real-world problems, the number of non-zero (effective) variables are unknown. In these cases, CS is capable of solving for the unknowns in an efficient way. In other words, it enables us to collect the important information of the sparse signal with low number of measurements. Then, considering the fact that the signal is sparse, extracting the important information of the signal is the challenge that needs to be addressed. Since most of the existing recovery algorithms in this area need some prior knowledge or parameter tuning, their application to real-world problems to achieve a good performance is difficult. In this dissertation, several new CS algorithms are proposed for the recovery of sparse signals. The proposed algorithms mostly do not require any prior knowledge on the signal or its structure. In fact, these algorithms can learn the underlying structure of the signal based on the collected measurements and successfully reconstruct the signal, with high probability. The other merit of the proposed algorithms is that they are generally flexible in incorporating any prior knowledge on the noise, sparisty level, and so on.
The second part of this study is devoted to deployment of mobile sensors in circumstances that the number of sensors to sample the entire region is inadequate. Therefore, where to deploy the sensors, to both explore new regions while refining knowledge in aleady visited areas is of high importance. Here, a new framework is proposed to decide on the trajectories of sensors as they collect the measurements. The proposed framework has two main stages. The first stage performs interpolation/extrapolation to estimate the…
Advisors/Committee Members: Todd K. Moon, Scott E. Budge, Mark E. Fels, ;.
Subjects/Keywords: Compressive sensing; sparse recovery; clustered pattern; exploration; mobile sensors; sensor placement; Electrical and Computer Engineering
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APA (6th Edition):
Shekaramiz, M. (2018). Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7384
Chicago Manual of Style (16th Edition):
Shekaramiz, Mohammad. “Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors.” 2018. Doctoral Dissertation, Utah State University. Accessed January 17, 2021.
https://digitalcommons.usu.edu/etd/7384.
MLA Handbook (7th Edition):
Shekaramiz, Mohammad. “Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors.” 2018. Web. 17 Jan 2021.
Vancouver:
Shekaramiz M. Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors. [Internet] [Doctoral dissertation]. Utah State University; 2018. [cited 2021 Jan 17].
Available from: https://digitalcommons.usu.edu/etd/7384.
Council of Science Editors:
Shekaramiz M. Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors. [Doctoral Dissertation]. Utah State University; 2018. Available from: https://digitalcommons.usu.edu/etd/7384
University of South Florida
25.
Perez, Alfredo Jose.
An Architecture for Global Ubiquitous Sensing.
Degree: 2011, University of South Florida
URL: https://scholarcommons.usf.edu/etd/3276
► A new class of wireless sensor networks has recently appeared due to the pervasiness of cellular phones with embedded sensors, mobile Internet connectivity, and location…
(more)
▼ A new class of wireless sensor networks has recently appeared due to the pervasiness of cellular phones with embedded sensors, mobile Internet connectivity, and location technologies. This mobile wireless sensor network has the potential to address large-scale societal problems and improve the people's quality of life in a better, faster and less expensive fashion than current solutions based on static wireless sensor networks. Ubiquitous Sensing is the umbrella
term used in this dissertation that encompasses location-based services, human-centric, and participatory sensing applications. At the same time, ubiquitous sensing applications are bringing a new series of challenging problems.
This dissertation proposes and evaluates G-Sense, for Global-Sense, an architecture that integrates mobile and static wireless sensor networks, and addresses several new problems related
to location-based services, participatory sensing, and human-centric sensing applications. G-Sense features the critical point algorithms, which are specific mechanisms to reduce the power consumption by continous sensing applications in cellular phones, and reduce the amount of data generated by these applications. As ubiquitous sensing applications have the potential to gather data from many users around the globe, G-Sense introduces a peer-to-peer system to interconnect sensing servers based on the locality of the data. Finally, this dissertation
proposes and evaluates a multiobjective model and a hybrid evolutionary algorithm to address the efficient deployment of static wireless sensor nodes when monitoring critical areas of interest.
Subjects/Keywords: Cellular Networks; Distributed Systems; Location-based Services; Mobile Sensor Networks; Sensor Placement; American Studies; Arts and Humanities; Computer Sciences
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APA ·
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Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Perez, A. J. (2011). An Architecture for Global Ubiquitous Sensing. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/3276
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Perez, Alfredo Jose. “An Architecture for Global Ubiquitous Sensing.” 2011. Thesis, University of South Florida. Accessed January 17, 2021.
https://scholarcommons.usf.edu/etd/3276.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Perez, Alfredo Jose. “An Architecture for Global Ubiquitous Sensing.” 2011. Web. 17 Jan 2021.
Vancouver:
Perez AJ. An Architecture for Global Ubiquitous Sensing. [Internet] [Thesis]. University of South Florida; 2011. [cited 2021 Jan 17].
Available from: https://scholarcommons.usf.edu/etd/3276.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Perez AJ. An Architecture for Global Ubiquitous Sensing. [Thesis]. University of South Florida; 2011. Available from: https://scholarcommons.usf.edu/etd/3276
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
26.
Génevé, Lionel.
Système de déploiement d'un robot mobile autonome basé sur des balises : Beacon-based deployement system for an autonomous mobile robot.
Degree: Docteur es, Signal, image, automatique et robotique (SIAR), 2017, Université de Strasbourg
URL: http://www.theses.fr/2017STRAD024
► Cette thèse s’inscrit dans le cadre d’un projet visant à développer un robot mobile autonome capable de réaliser des tâches spécifiques dans une zone préalablement…
(more)
▼ Cette thèse s’inscrit dans le cadre d’un projet visant à développer un robot mobile autonome capable de réaliser des tâches spécifiques dans une zone préalablement définie par l’utilisateur. Afin de faciliter la mise en œuvre du système, des balises radiofréquences fournissant des mesures de distance par rapport au robot sont disposées au préalable autour du terrain. Le déploiement du robot s’effectue en deux phases, une première d’apprentissage du terrain, puis une seconde, où le robot effectue ses tâches de façon autonome. Ces deux étapes nécessitent de résoudre les problèmes de localisation et de localisation et cartographie simultanées pour lesquels différentes solutions sont proposées et testées en simulation et sur des jeux de données réelles. De plus, afin de faciliter l’installation et d’améliorer les performances du système, un algorithme de placement des balises est présenté puis testé en simulation afin de valider notamment l’amélioration des performances de localisation.
This thesis is part of a project which aims at developing an autonomous mobile robot able to perform specific tasks in a preset area. To ease the setup of the system, radio-frequency beacons providing range measurements with respect to the robot are set up beforehand on the borders of the robot’s workspace. The system deployment consists in two steps, one for learning the environment, then a second, where the robot executes its tasks autonomously. These two steps require to solve the localization and simultaneous localization and mapping problems for which several solutions are proposed and tested in simulation and on real datasets. Moreover, to ease the setup and improve the system performances, a beacon placement algorithm is presented and tested in simulation in order to validate in particular the improvement of the localization performances.
Advisors/Committee Members: Laroche, Edouard (thesis director).
Subjects/Keywords: Robotique mobile; Localisation; SLAM; Placement optimal de capteurs; Balises radiofréquence; Mesures de distance; Mobile robotics; Localization; SLAM; Optimal sensor placement; Radiofrequency beacons; Range-only measurements; 629.89
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APA ·
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to Zotero / EndNote / Reference
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APA (6th Edition):
Génevé, L. (2017). Système de déploiement d'un robot mobile autonome basé sur des balises : Beacon-based deployement system for an autonomous mobile robot. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2017STRAD024
Chicago Manual of Style (16th Edition):
Génevé, Lionel. “Système de déploiement d'un robot mobile autonome basé sur des balises : Beacon-based deployement system for an autonomous mobile robot.” 2017. Doctoral Dissertation, Université de Strasbourg. Accessed January 17, 2021.
http://www.theses.fr/2017STRAD024.
MLA Handbook (7th Edition):
Génevé, Lionel. “Système de déploiement d'un robot mobile autonome basé sur des balises : Beacon-based deployement system for an autonomous mobile robot.” 2017. Web. 17 Jan 2021.
Vancouver:
Génevé L. Système de déploiement d'un robot mobile autonome basé sur des balises : Beacon-based deployement system for an autonomous mobile robot. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2017. [cited 2021 Jan 17].
Available from: http://www.theses.fr/2017STRAD024.
Council of Science Editors:
Génevé L. Système de déploiement d'un robot mobile autonome basé sur des balises : Beacon-based deployement system for an autonomous mobile robot. [Doctoral Dissertation]. Université de Strasbourg; 2017. Available from: http://www.theses.fr/2017STRAD024
27.
Maugan, Fabien.
Conception robuste de structure spatiale en présence de méconnaissances de modèle : Robust design of a spacecraft structure under lack of knowledge.
Degree: Docteur es, Mecanique des solides, genie mecanique, productique, transport et genie civil, 2017, Bourgogne Franche-Comté
URL: http://www.theses.fr/2017UBFCD013
► Les travaux présentés dans cette thèse visent à apporter des outils d’aide à la décision à partir de modèles prenant en compte une représentation Info-Gap…
(more)
▼ Les travaux présentés dans cette thèse visent à apporter des outils d’aide à la décision à partir de modèles prenant en compte une représentation Info-Gap des différentes sources de méconnaissance du système. Il est en effet possible en utilisant des simulations numériques de développer des indicateurs de support à la décision sous un certain niveau d’incertitude aléatoire ou épistémique. Le principe de conception est ici utilisé au sens large, et peut entrer sans le cadre du dimensionnement structural de composants, de la définition de l’amplitude d’excitation maximum d’un essai, ou encore de la mise en place d’une distribution de capteurs. Ces différentes méthodologies sont ici développées puis appliquées sur des systèmes académiques et industriels
The work presented in this PhD thesis aims at propose new decision making tools in order to take into account a Info-Gap modelling of the different sources of lack of knowledge. Indeed, numerical simulation allow to develop useful indicators for decision making under a given level of random or epistemic uncertainty. The design principle is hereby used in its very large sense, and can stand for structural component design, maximum load definition fir vibrating test or sensor placement design. In this manuscript, these different methodologies are developed and applied to academic and industrial structures.
Advisors/Committee Members: Cogan, Scott (thesis director), Foltête, Emmanuel (thesis director), Hot, Aurélien (thesis director).
Subjects/Keywords: Placement de capteurs; Notching; Robustesse; Info-Gap; Incertitudes; Méconnaissances de modèle; Sensor placement; Notching; Robustness; Info-Gap; Uncertainties; Lake of knowledge; 621.8
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APA (6th Edition):
Maugan, F. (2017). Conception robuste de structure spatiale en présence de méconnaissances de modèle : Robust design of a spacecraft structure under lack of knowledge. (Doctoral Dissertation). Bourgogne Franche-Comté. Retrieved from http://www.theses.fr/2017UBFCD013
Chicago Manual of Style (16th Edition):
Maugan, Fabien. “Conception robuste de structure spatiale en présence de méconnaissances de modèle : Robust design of a spacecraft structure under lack of knowledge.” 2017. Doctoral Dissertation, Bourgogne Franche-Comté. Accessed January 17, 2021.
http://www.theses.fr/2017UBFCD013.
MLA Handbook (7th Edition):
Maugan, Fabien. “Conception robuste de structure spatiale en présence de méconnaissances de modèle : Robust design of a spacecraft structure under lack of knowledge.” 2017. Web. 17 Jan 2021.
Vancouver:
Maugan F. Conception robuste de structure spatiale en présence de méconnaissances de modèle : Robust design of a spacecraft structure under lack of knowledge. [Internet] [Doctoral dissertation]. Bourgogne Franche-Comté; 2017. [cited 2021 Jan 17].
Available from: http://www.theses.fr/2017UBFCD013.
Council of Science Editors:
Maugan F. Conception robuste de structure spatiale en présence de méconnaissances de modèle : Robust design of a spacecraft structure under lack of knowledge. [Doctoral Dissertation]. Bourgogne Franche-Comté; 2017. Available from: http://www.theses.fr/2017UBFCD013
University of Windsor
28.
Kamal, K. Raiyan.
Ant Colony Optimization for Jointly Solving Relay Node
Placement and Trajectory Calculation in Hierarchical Wireless
Sensor Networks.
Degree: MS, Computer
Science, 2014, University of Windsor
URL: http://scholar.uwindsor.ca/etd/5054
► Given the locations of the Sensor Nodes in a Wireless Sensor Networks (WSN), finding the minimum number of Relays required and their locations such…
(more)
▼ Given the locations of the
Sensor
Nodes in a Wireless
Sensor Networks (WSN), finding the minimum
number of Relays required and their locations such that each
sensor
is covered by at least one relay is called the Relay Node
Placement
(RNP) problem. Given the locations of the relays, finding an
optimized trajectory for the Mobile Data Collector (MDC) is another
important design problem of the WSN domain. Previous researchers
have shown that jointly solving different design problems in the
WSN domain often leads to better overall results. In recent years,
Ant Colony Optimization (ACO) have emerged as an effective tool for
solving complex optimization problems. An ACO based approach for
solving the joint problem of Relay Node
Placement & Trajectory
calculation(RNPT) is presented in this thesis. We also present a
deterministic, and a Continuous Ant Colony Optimization ([Special
characters omitted.] ACOR ) approach for refining the trajectory
produced by the ACO approach.
Advisors/Committee Members: Kent, Robert.
Subjects/Keywords: Applied sciences; Ant colony optimization; Optimization; Relay node placement; Travelingsalesman problem; Traveling salesman problem with neighborhood; Wireless sensor networks; Computer Sciences
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APA (6th Edition):
Kamal, K. R. (2014). Ant Colony Optimization for Jointly Solving Relay Node
Placement and Trajectory Calculation in Hierarchical Wireless
Sensor Networks. (Masters Thesis). University of Windsor. Retrieved from http://scholar.uwindsor.ca/etd/5054
Chicago Manual of Style (16th Edition):
Kamal, K Raiyan. “Ant Colony Optimization for Jointly Solving Relay Node
Placement and Trajectory Calculation in Hierarchical Wireless
Sensor Networks.” 2014. Masters Thesis, University of Windsor. Accessed January 17, 2021.
http://scholar.uwindsor.ca/etd/5054.
MLA Handbook (7th Edition):
Kamal, K Raiyan. “Ant Colony Optimization for Jointly Solving Relay Node
Placement and Trajectory Calculation in Hierarchical Wireless
Sensor Networks.” 2014. Web. 17 Jan 2021.
Vancouver:
Kamal KR. Ant Colony Optimization for Jointly Solving Relay Node
Placement and Trajectory Calculation in Hierarchical Wireless
Sensor Networks. [Internet] [Masters thesis]. University of Windsor; 2014. [cited 2021 Jan 17].
Available from: http://scholar.uwindsor.ca/etd/5054.
Council of Science Editors:
Kamal KR. Ant Colony Optimization for Jointly Solving Relay Node
Placement and Trajectory Calculation in Hierarchical Wireless
Sensor Networks. [Masters Thesis]. University of Windsor; 2014. Available from: http://scholar.uwindsor.ca/etd/5054
University of Michigan
29.
Ma, Youji.
Sensor placement optimization for thermal error compensation on machine tools.
Degree: PhD, Mechanical engineering, 2001, University of Michigan
URL: http://hdl.handle.net/2027.42/123525
► One of the most significant factors affecting the accuracy of machine tools is thermal error. Thermal error compensation can potentially be an effective way to…
(more)
▼ One of the most significant factors affecting the accuracy of machine tools is thermal error. Thermal error compensation can potentially be an effective way to reduce thermal errors. However, lack of accuracy and robustness of thermal error modeling prevents thermal error compensation from achieving greater success. This thesis proposes a novel methodology for improving the accuracy of thermal error modeling through optimizing temperature
sensor placement. It addresses the question: Given a limited number of temperature sensors, where should they be placed on a spatially distributed machine tool structure so that the temperature data from those sensors will give the best estimation of the thermal errors? A thermal deformation modal analysis method is proposed to analyze the transient temperature fields and thermal deformations of a machine tool structure. Natural time constants and temperature field mode shapes can be computed from transient heat transfer finite element models through eigen-analysis. Thermal deformation and thermal error mode shapes can be computed from thermoelastic finite element models. A modal frequency domain method of inverse heat transfer analysis is also proposed. From temperature measurement data from multiple sensors mounted on a machine tool structure, transient thermal loads of multiple heat sources can be estimated simultaneously. With mode truncation and frequency truncation, both efficiency and stability of the method can be improved. The temperature
sensor placement optimization problem is formulated as a two-level optimization model. The first level is a
sensor location optimization problem and is formulated as a discrete programming model. The second level is a thermal error model parameter optimization problem and is formulated as a nonlinear programming model. The minimax goal programming approach is applied to formulate the objective function. A hybrid genetic algorithm combining the advantages of both the cyclic local search algorithm and the genetic algorithm is developed. The methodology is applied to a machining center column assembly. Experimental results prove that the optimized
sensor location set improves the accuracy and robustness of thermal error modeling.
Advisors/Committee Members: Ni, Jun (advisor), Yuan, Jingxia (advisor).
Subjects/Keywords: Machine Tools; Optimization; Sensor Placement; Thermal Error Compensation
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APA (6th Edition):
Ma, Y. (2001). Sensor placement optimization for thermal error compensation on machine tools. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/123525
Chicago Manual of Style (16th Edition):
Ma, Youji. “Sensor placement optimization for thermal error compensation on machine tools.” 2001. Doctoral Dissertation, University of Michigan. Accessed January 17, 2021.
http://hdl.handle.net/2027.42/123525.
MLA Handbook (7th Edition):
Ma, Youji. “Sensor placement optimization for thermal error compensation on machine tools.” 2001. Web. 17 Jan 2021.
Vancouver:
Ma Y. Sensor placement optimization for thermal error compensation on machine tools. [Internet] [Doctoral dissertation]. University of Michigan; 2001. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/2027.42/123525.
Council of Science Editors:
Ma Y. Sensor placement optimization for thermal error compensation on machine tools. [Doctoral Dissertation]. University of Michigan; 2001. Available from: http://hdl.handle.net/2027.42/123525
30.
Τζιρίτας, Νικόλαος.
Algorithms and system - level support for agent placement and migration in wireless sensor networks.
Degree: 2011, University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας
URL: http://hdl.handle.net/10442/hedi/25160
► Wireless sensor systems have drawn much attention from a considerable part of scientific community during the last years. The advances in this field range from…
(more)
▼ Wireless sensor systems have drawn much attention from a considerable part of scientific community during the last years. The advances in this field range from the design of battery-powered embedded nodes to the development of software (i.e. operating system, middleware, etc) especially designed to run on such resource-constrained devices. One of the most challenging parts for both hardware and software oriented work is to maximize the lifetime of such nodes. This thesis focuses on the design and implementation of mobile code placement and migration algorithms for distributed applications in order to reduce the amount of application-level communication performed over the network. Since the largest part of a node’s energy expenditure is attributed to the wireless communication (not code execution), reducing the energy consumption becomes of paramount importance, leading in that way to an increased system lifetime. In the sequel, we give a brief overview of the application model, the algorithms and the middleware designed and implemented in the context of this thesis. The model adopted in this work is inspired by the POBICOS [91] platform, where the application is organized as a set of software entities (agents) that communicate with each other to implement the desired functionality. An agent can be ―non-generic? or ―generic?. Non-generic agents use special resources of a node, e.g. a sensor measuring a physical quantity or an actuator controlling a device or function. On the contrary, generic agents perform computational tasks and decision making at a higher level, without relying on special resources. Chapter 1 introduces the agent migration problem stated as follows: given an application that is deployed in a sensor network, perform generic agent migrations in order to reduce the data exchanged over the network due to the application-level communication between agents. We propose fully distributed algorithms that migrate an agent towards its center of gravity (in terms of communication load), thereby reducing the network cost. Also, two protocols are presented for handling the case of nodes with storage constraints (for hosting agents). iv Chapter 2 examines the same (above) problem, with the difference that it considers migrations of agent groups instead of single agent migrations. The algorithms in question deal with co-located agents that are ―mutually dependent?, which in the case of the simpler algorithms may hinder migration, leading to noticeably inferior placements. Chapter 3 discusses the competitiveness of the aforementioned algorithms versus the optimal algorithm. Also, it presents an enhancement of the group migration algorithms in order for them to produce an optimal agent placement (in terms of the network cost incurred by the application). It should be stressed that this enhancement guarantees optimality only if nodes do not have storage constraints, else the problem is NP-complete. Chapter 4 proposes fully distributed algorithms for the problem of generic agent migrations for resource-constrained…
Subjects/Keywords: Κατανεμημένα συστήματα; Αλγόριθμοι τοποθέτησης; Αλγόριθμοι μετακίνησης; Ασύρματα δίκτυα αισθητήρων; Distributed systems; Placement algorithms; Migration algorithms; Wireless sensor networks
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APA ·
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APA (6th Edition):
Τζιρίτας, . . (2011). Algorithms and system - level support for agent placement and migration in wireless sensor networks. (Thesis). University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας. Retrieved from http://hdl.handle.net/10442/hedi/25160
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Τζιρίτας, Νικόλαος. “Algorithms and system - level support for agent placement and migration in wireless sensor networks.” 2011. Thesis, University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας. Accessed January 17, 2021.
http://hdl.handle.net/10442/hedi/25160.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Τζιρίτας, Νικόλαος. “Algorithms and system - level support for agent placement and migration in wireless sensor networks.” 2011. Web. 17 Jan 2021.
Vancouver:
Τζιρίτας . Algorithms and system - level support for agent placement and migration in wireless sensor networks. [Internet] [Thesis]. University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας; 2011. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/10442/hedi/25160.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Τζιρίτας . Algorithms and system - level support for agent placement and migration in wireless sensor networks. [Thesis]. University of Thessaly (UTH); Πανεπιστήμιο Θεσσαλίας; 2011. Available from: http://hdl.handle.net/10442/hedi/25160
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
◁ [1] [2] [3] ▶
. 
Open Access Theses and Dissertations
