You searched for +publisher:"Georgia Tech" +contributor:("Zhang, Ying").
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Georgia Tech
1.
Zhou, Mi.
Model building and LSTM-based system identification for implantable devices.
Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/62826 
► Implantable medical devices (IMDs) have aroused a wide research interest because of its increased ability of monitoring and recording signals from human organs and tissues.…
(more)
▼ Implantable medical devices (IMDs) have aroused a wide research interest because of its increased ability of monitoring and recording signals from human organs and tissues. There are numerous issues that are under researching, one of which is the thermal control problem. Human body has a certain tolerance to high temperature (such as fever). However, long-term accumulation of the thermal effect if the temperature is higher than the safe limit leads to detrimental effect. Thus efficient thermal management methods are of significant importance for IMDs. Before designing controllers, the first aim is to build a reliable model for the thermal effects of the IMDs. In this thesis, three different system identification methods are explored for modeling thermal effects and their advantages and disadvantages are compared. First, a COMSOL model considering all the thermal effects of an IMD system is built. Then, a long short-term memory (LSTM) network is designed to predict the thermal dynamics of the IMDs both online and offline. For the validation of the LSTM algorithms, both COMSOL simulations and experiments are studied. The performance of the LSTM method is compared with that of a recursive predictor based subspace identification (RPBSID) method considering time complexity and prediction accuracy. The results based on COMSOL simulations indicate that the online LSTM algorithm outperforms the RPBSID algorithm in general except its higher computational cost. The offline LSTM algorithm has superiority for the time period when the convergence of the adaptive filters in the RPBSID algorithm is not yet achieved. Additionally, the results based on it{in vitro} experiments show that both online LSTM and offline LSTM triumph over RPBSID based on the metric - best fit rate (BFR).
Advisors/Committee Members: Zhang, Ying (advisor), AlRegib, Ghassan (committee member), Ma, Xiaoli (committee member).
Subjects/Keywords: System identification; LSTM; RPBSID; IMDs
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APA (6th Edition):
Zhou, M. (2020). Model building and LSTM-based system identification for implantable devices. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62826
Chicago Manual of Style (16th Edition):
Zhou, Mi. “Model building and LSTM-based system identification for implantable devices.” 2020. Masters Thesis, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/62826.
MLA Handbook (7th Edition):
Zhou, Mi. “Model building and LSTM-based system identification for implantable devices.” 2020. Web. 04 Mar 2021.
Vancouver:
Zhou M. Model building and LSTM-based system identification for implantable devices. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/62826.
Council of Science Editors:
Zhou M. Model building and LSTM-based system identification for implantable devices. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62826
Georgia Tech
2.
Wang, Shu.
Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling.
Degree: MS, Electrical and Computer Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/62356
► Due to the large volume of transportation that takes place on the airport every day, airlines need to efficiently manage their employees and tasks to…
(more)
▼ Due to the large volume of transportation that takes place on the airport every day, airlines need to efficiently manage their employees and tasks to guarantee necessary operations are performed well and on time. The quality of the workforce scheduling has an important influence on both the task performance and costs of labor and operations that airlines will take. In this regard, this thesis proposes a mathematical modeling for airport ground staff scheduling with corresponding algorithms, including a 2D GA for shift planning with daily-wise shift formats, column generation for rostering and task dispatching, and integer programming for disruption management. The presented optimization-based workforce scheduling can replace the manual planning or serve as a reference for practitioners.
Advisors/Committee Members: Jiao, Roger (advisor), Meliopoulos, A. P. (advisor), Choi, Seung-Kyum (advisor), Zhang, Ying (advisor).
Subjects/Keywords: Workforce scheduling; Genetic algorithm; Column generation; Integer programming; Shift planning; Rostering
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APA (6th Edition):
Wang, S. (2019). Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62356
Chicago Manual of Style (16th Edition):
Wang, Shu. “Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling.” 2019. Masters Thesis, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/62356.
MLA Handbook (7th Edition):
Wang, Shu. “Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling.” 2019. Web. 04 Mar 2021.
Vancouver:
Wang S. Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/62356.
Council of Science Editors:
Wang S. Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62356
Georgia Tech
3.
Hwang, Sungkun.
Predicting reliability in multidisciplinary engineering systems under uncertainty.
Degree: MS, Mechanical Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/54955
► The proposed study develops a framework that can accurately capture and model input and output variables for multidisciplinary systems to mitigate the computational cost when…
(more)
▼ The proposed study develops a framework that can accurately capture and model input and output variables for multidisciplinary systems to mitigate the computational cost when uncertainties are involved. The dimension of the random input variables is reduced depending on the degree of correlation calculated by relative entropy. Feature extraction methods; namely Principal Component Analysis (PCA), the Auto-Encoder (AE) algorithm are developed when the input variables are highly correlated. The Independent Features Test (IndFeaT) is implemented as the feature selection method if the correlation is low to select a critical subset of model features. Moreover, Artificial Neural Network (ANN) including Probabilistic Neural Network (PNN) is integrated into the framework to correctly capture the complex response behavior of the multidisciplinary system with low computational cost. The efficacy of the proposed method is demonstrated with electro-mechanical engineering examples including a solder joint and stretchable patch antenna examples.
Advisors/Committee Members: Choi, Seung-Kyum (advisor), Wang, Yan (committee member), Zhang, Ying (committee member).
Subjects/Keywords: Stretchable electronics; Dimension reduction; Feature extraction; Feature selection; Artificial neural network; Probabilistic neural network
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APA (6th Edition):
Hwang, S. (2016). Predicting reliability in multidisciplinary engineering systems under uncertainty. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54955
Chicago Manual of Style (16th Edition):
Hwang, Sungkun. “Predicting reliability in multidisciplinary engineering systems under uncertainty.” 2016. Masters Thesis, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/54955.
MLA Handbook (7th Edition):
Hwang, Sungkun. “Predicting reliability in multidisciplinary engineering systems under uncertainty.” 2016. Web. 04 Mar 2021.
Vancouver:
Hwang S. Predicting reliability in multidisciplinary engineering systems under uncertainty. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/54955.
Council of Science Editors:
Hwang S. Predicting reliability in multidisciplinary engineering systems under uncertainty. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54955
Georgia Tech
4.
Chai, Ruizhi.
Adaptive power management for cyber-physical system.
Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/62644
► The research work investigate the power management techniques for cyber-physical systems based on the model predictive control method. The work starts with a typical cyber-physical…
(more)
▼ The research work investigate the power management techniques for cyber-physical systems based on the model predictive control method. The work starts with a typical cyber-physical system: wireless sensor network. More specifically, we focus on the supercapacitor powered radar sensor network, which is designed to detect random events with guaranteed performance. Supercapacitor online state of charge prediction method is also proposed to support the power management method. Then a novel cyber-physical system, known as implantable device, is investigated. Adaptive power management framework is developed to optimize the application performance while maintaining a safe operating temperature and respecting system constraints. The developed framework can also be applied to more general cyber-physical systems by tailoring the framework formulation according to the system requirement. A black box modeling techniques, which is known as online multistep prediction method, is developed in the framework to capture the complicated thermal dynamics of implantable device. The developed method can also support online prediction of general slow time-varying system.
Advisors/Committee Members: Zhang, Ying (advisor), Weitnauer, Mary Ann (committee member), Ma, Xiaoli (committee member), AlRegib, Ghassan (committee member), Wang, Yang (committee member).
Subjects/Keywords: Power management; Model predictive control; Radar network; Implantable device
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APA (6th Edition):
Chai, R. (2019). Adaptive power management for cyber-physical system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62644
Chicago Manual of Style (16th Edition):
Chai, Ruizhi. “Adaptive power management for cyber-physical system.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/62644.
MLA Handbook (7th Edition):
Chai, Ruizhi. “Adaptive power management for cyber-physical system.” 2019. Web. 04 Mar 2021.
Vancouver:
Chai R. Adaptive power management for cyber-physical system. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/62644.
Council of Science Editors:
Chai R. Adaptive power management for cyber-physical system. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62644
Georgia Tech
5.
Kong, Fanpeng.
Development and evaluation of an intraoral tongue operated assistive technology for people with quadriparesis.
Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/62764
► This research is to develop a wireless intraoral tongue operated assistive technology for the people with disabilities, such as quadriplegia to improve the quality of…
(more)
▼ This research is to develop a wireless intraoral tongue operated assistive technology for the people with disabilities, such as quadriplegia to improve the quality of their lives and do daily activities more efficiently and independently. The focus of this work has been designing a system, called intraoral Tongue Drive System (iTDS) that captures the tongue motions and convert them to a set of the user-defined commands to interact with smart devices. In this work, a high gain and small size intraoral antenna will be presented to enhance the intraoral wireless communication. Considering the noisy surroundings and the dynamic mouth environment, this work will also focus on solving these issues by developing a triple-band transmitter application-specific integrated circuits (ASIC) chip equipped with an adaptive matching network. Besides these, a high accuracy signal processing algorithm will be implemented in the iTDS, making it as a stand-alone device, to process users’ inputs which are efficient to compute in a limited resource embedded hardware. This research will also focus on designing experiments to evaluate the learning abilities, pros and cons of this intraoral tongue operated assistive technology in accessing computers, using smartphones and driving the wheelchairs efficiently.
Advisors/Committee Members: Durgin, Gregory (advisor), Inan, Omer (committee member), Peterson, Andrew F. (committee member), Zhang, Ying (committee member), Lee, Hoseon (committee member).
Subjects/Keywords: Assistive technology; Intraoral tongue drive system; Intraoral antenna; Dynamic matching; RF circuit design; Wireless communication; Typing
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APA (6th Edition):
Kong, F. (2020). Development and evaluation of an intraoral tongue operated assistive technology for people with quadriparesis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62764
Chicago Manual of Style (16th Edition):
Kong, Fanpeng. “Development and evaluation of an intraoral tongue operated assistive technology for people with quadriparesis.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/62764.
MLA Handbook (7th Edition):
Kong, Fanpeng. “Development and evaluation of an intraoral tongue operated assistive technology for people with quadriparesis.” 2020. Web. 04 Mar 2021.
Vancouver:
Kong F. Development and evaluation of an intraoral tongue operated assistive technology for people with quadriparesis. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/62764.
Council of Science Editors:
Kong F. Development and evaluation of an intraoral tongue operated assistive technology for people with quadriparesis. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62764
Georgia Tech
6.
Alfarraj, Motaz A.
Learning from seismic data to characterize subsurface volumes.
Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/62310
► The exponential growth of collected data from seismic surveys makes it impossible for interpreters to manually inspect, analyze and annotate all collected data. Deep learning…
(more)
▼ The exponential growth of collected data from seismic surveys makes it impossible for interpreters to manually inspect, analyze and annotate all collected data. Deep learning has proved to be a potential mechanism to overcome big data problems in various computer vision tasks such as image classification and semantic segmentation. However, the applications of deep learning are limited in the field of subsurface volume characterization due to the limited availability of consistently-annotated seismic datasets. Obtaining annotations of seismic data is a labor-intensive process that requires field knowledge. Moreover, seismic interpreters rely on the few direct high-resolution measurements of the subsurface from well-logs and core data to confirm their interpretations. Different interpreters might arrive at different valid interpretations of the subsurface, all of which are in agreement with well-logs and core data. Therefore, to successfully utilize deep learning for subsurface characterization, one must address and circumvent the lack or shortage of consistent annotated data. In this dissertation, we introduce a learning-based physics-guided subsurface volume characterization framework that can learn from limited inconsistently-annotated data. The introduced framework integrates seismic data and the limited well-log data to characterize the subsurface at a higher-than-seismic resolution. The introduced framework takes into account the physics that governs seismic data to overcome noise and artifacts that are often present in the data. Integrating a physical model in deep-learning frameworks improves their generalization ability beyond the training data. Furthermore, the physical model enables deep networks to learn from unlabeled data, in addition to a few annotated examples, in a semi-supervised learning scheme. Applications of the introduced framework are not limited to subsurface volume characterization, it can be extended to other domains in which data represent a physical phenomenon and annotated data is limited.
Advisors/Committee Members: AlRegib, Ghassan (advisor), McClellan, James H. (committee member), Peng, Zhigang (committee member), Anderson, David (committee member), Zhang, Ying (committee member).
Subjects/Keywords: Deep learning; Semi-supervised learning; Sequence modeling; Subsurface characterization; Seismic inversion
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APA (6th Edition):
Alfarraj, M. A. (2019). Learning from seismic data to characterize subsurface volumes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62310
Chicago Manual of Style (16th Edition):
Alfarraj, Motaz A. “Learning from seismic data to characterize subsurface volumes.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/62310.
MLA Handbook (7th Edition):
Alfarraj, Motaz A. “Learning from seismic data to characterize subsurface volumes.” 2019. Web. 04 Mar 2021.
Vancouver:
Alfarraj MA. Learning from seismic data to characterize subsurface volumes. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/62310.
Council of Science Editors:
Alfarraj MA. Learning from seismic data to characterize subsurface volumes. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62310
Georgia Tech
7.
Cho, Chunhee.
Passive antenna sensor design through multi-physics modeling, simulation, and optimization.
Degree: PhD, Civil and Environmental Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/59155
► This dissertation develops passive (battery-free) wireless strain sensing techniques for low-cost structural health monitoring (SHM). Passive wireless strain sensing has obvious advantages among SHM technologies…
(more)
▼ This dissertation develops passive (battery-free) wireless strain sensing techniques for low-cost structural health monitoring (SHM). Passive wireless strain sensing has obvious advantages among SHM technologies in that the sensors require neither cable nor external power supply for operation. However, current numerical approaches for modeling and designing passive antenna sensors are oftentimes inefficient and inaccurate. In this study, a partially air-filled cavity modeling and an inverse power iteration method with Rayleigh quotient (IPIRQ) are proposed to significantly improve computational speed of strain sensing simulation. Optimization frameworks are proposed for identifying accurate mechanical and electromagnetic parameter values of an antenna sensor through finite element model updating using experimental measurements. In addition, a multi-objective optimization approach is formulated to maximize sensor performance such as strain sensitivity and antenna gain. Finally, in order to overcome the limit of radiofrequency identification (RFID) antenna sensors, a frequency doubling technology is investigated. To achieve close deployment of multiple frequency doubling antenna sensors, a wireless switching mechanism is designed and implemented. Performance of the frequency doubling antenna sensors with wireless switching is experimentally validated.
Advisors/Committee Members: Wang, Yang (advisor), Tentzeris, Manos (committee member), Suryanarayana, Phanish (committee member), Zhang, Ying (committee member), Yi, Xiaohua (committee member).
Subjects/Keywords: Passive antenna sensor; Design optimization with multi-physics simulation
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APA (6th Edition):
Cho, C. (2016). Passive antenna sensor design through multi-physics modeling, simulation, and optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59155
Chicago Manual of Style (16th Edition):
Cho, Chunhee. “Passive antenna sensor design through multi-physics modeling, simulation, and optimization.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/59155.
MLA Handbook (7th Edition):
Cho, Chunhee. “Passive antenna sensor design through multi-physics modeling, simulation, and optimization.” 2016. Web. 04 Mar 2021.
Vancouver:
Cho C. Passive antenna sensor design through multi-physics modeling, simulation, and optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/59155.
Council of Science Editors:
Cho C. Passive antenna sensor design through multi-physics modeling, simulation, and optimization. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/59155
Georgia Tech
8.
Hu, Yuting.
Texture representation and analysis in material classification and characterization.
Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/61735
► Objects and scenes in the real world exhibit abundant textural information. Textures observed in the surfaces of natural objects are not only the appearance of…
(more)
▼ Objects and scenes in the real world exhibit abundant textural information. Textures observed in the surfaces of natural objects are not only the appearance of various materials, but also contain important visual cues (i.e., patterns and their spatial organizations). Recognition and characterization of textures and materials from their visual appearance has been effective in object recognition, robotics, quality inspection, scene understanding, facial image analysis, and medical or geological structure interpretation. In the industry, modern automated manufacturing systems utilize visual information to perform specific tasks such as classification, surface characterization, and visual tracking of products. However, these tasks are commonly conducted on products at the macroscopic scale with simple structures. When dealing with products at the microscopic scale (i.e., the fine-grained scale), describing and distinguishing similar materials with different texture characteristics such as smoothness poses a challenging problem, which requires discriminative and efficient texture representation techniques.
In this dissertation, we develop texture representation algorithms in a progressive manner evolving from deterministic (i.e. handcrafted) to learning-based ones in order to handle both macroscopic and microscopic information. By involving high-order derivative features, multi-scale analysis, multi-level texture encoding, an end-to-end learning architecture, or geometric constraints in algorithm design, our texture representation methods enhance their discriminative representation ability and perform well on three main vision-based tasks, texture recognition, material surface characterization, and motion tracking of textures. Experimental results on typical texture and material datasets and our collected dataset show that our texture representation methods outperform their state-of-the-art counterparts in terms of accuracy and efficiency, thus aiding in the deployment of automated manufacturing systems.
Advisors/Committee Members: AlRegib, Ghassan (advisor), Anderson, David (committee member), Jayaraman, Sundaresan (committee member), Zhang, Ying (committee member), Kalidindi, Surya (committee member).
Subjects/Keywords: Texture representation; Texture characterization; Deep learning; Texture classification; Texture tracking; Texture analysis; Texture dataset; Material recognition; Material surface characterization
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APA ·
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Manager
APA (6th Edition):
Hu, Y. (2019). Texture representation and analysis in material classification and characterization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61735
Chicago Manual of Style (16th Edition):
Hu, Yuting. “Texture representation and analysis in material classification and characterization.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/61735.
MLA Handbook (7th Edition):
Hu, Yuting. “Texture representation and analysis in material classification and characterization.” 2019. Web. 04 Mar 2021.
Vancouver:
Hu Y. Texture representation and analysis in material classification and characterization. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/61735.
Council of Science Editors:
Hu Y. Texture representation and analysis in material classification and characterization. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61735
Georgia Tech
9.
Alquthami, Thamer.
A smart house energy management system.
Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech
URL: http://hdl.handle.net/1853/53900
► The impact of distributed energy resources (DERs), electric vehicles/plug-in hybrid electric vehicles (EVs/PHEVs), and smart appliances on the distribution grid has been expected to be…
(more)
▼ The impact of distributed energy resources (DERs), electric vehicles/plug-in hybrid electric vehicles (EVs/PHEVs), and smart appliances on the distribution grid has been expected to be beneficial in terms of environment, economy, and reliability. But, it can be more beneficial by implementing smart controls. In the absence of additional controls, a negative effect was identified regarding the service lifetime of power distribution components. This research presents a new class of a smart house energy management system that can provide management and control of a residential house electric energy without inconvenience to the residents of the house and without overloading the distribution infrastructure. The implementation of these controls requires an infrastructure that continuously monitors the house power system operation, determines the real-time model of the house, computes better operating strategies over a planning period of time, and enables control of house resources. The smart house energy management system provides benefits for the good of utility and customer. In case of variable electricity rates, the management system can reduce the customer’s total energy cost. The benefits can be also extended to provide ancillary services to the utility such as control of peak load and reactive power support– assuming that this is worked out under a certain mutually beneficial arrangement between the utility and customer.
Advisors/Committee Members: Meliopoulos, A. P. Sakis (advisor), Harley, Ronald (committee member), Saeedifard, Maryam (committee member), Zhang, Ying (committee member), Ahmed, Shabbir (committee member).
Subjects/Keywords: Smart grid; Energy management; House energy management; Energy optimization
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APA (6th Edition):
Alquthami, T. (2015). A smart house energy management system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53900
Chicago Manual of Style (16th Edition):
Alquthami, Thamer. “A smart house energy management system.” 2015. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/53900.
MLA Handbook (7th Edition):
Alquthami, Thamer. “A smart house energy management system.” 2015. Web. 04 Mar 2021.
Vancouver:
Alquthami T. A smart house energy management system. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/53900.
Council of Science Editors:
Alquthami T. A smart house energy management system. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53900
Georgia Tech
10.
Fan, Rui.
Transformer protection based on dynamic state estimation.
Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/55659
► The objective of the proposed research is to detect transformer internal faults or transformer overheating and trip the transformer, with immunity to external faults for…
(more)
▼ The objective of the proposed research is to detect transformer internal faults or transformer overheating and trip the transformer, with immunity to external faults for which tripping of the transformer is not required. A new transformer protection scheme based on dynamic state estimation has been proposed. Specifically, the proposed scheme continuously monitors transformer terminal voltages and currents and other measurable quantities such as tap settings, temperatures, etc. The measurement data are utilized in a dynamic state estimator of the transformer protection zone. The dynamic state estimation simply determines how well the measured data fit the dynamic model of the transformer. When the fit is within the accuracy of the meters by which the measurements are taking, the dynamic state estimator provides the true operating condition of the transformer. Discrepancies indicate an internal abnormality. The scheme takes decisions based on the operating conditions of the transformer. This scheme does not require any coordination with other protection functions. Several protection gaps, such as the coordination and settings of relays, have been resolved with proposed new method. The proposed method is secure, reliable, more sensitive and faster than legacy protection functions. The applications of the proposed protection method for future research are discussed.
Advisors/Committee Members: Meliopoulos, Sakis (advisor), Taylor, David (committee member), Zhang, Ying (committee member), Saeedifard, Maryam (committee member), Sun, Andy (committee member).
Subjects/Keywords: Transformer protection; Dynamic state estimation; Internal fault
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APA (6th Edition):
Fan, R. (2016). Transformer protection based on dynamic state estimation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55659
Chicago Manual of Style (16th Edition):
Fan, Rui. “Transformer protection based on dynamic state estimation.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/55659.
MLA Handbook (7th Edition):
Fan, Rui. “Transformer protection based on dynamic state estimation.” 2016. Web. 04 Mar 2021.
Vancouver:
Fan R. Transformer protection based on dynamic state estimation. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/55659.
Council of Science Editors:
Fan R. Transformer protection based on dynamic state estimation. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55659
11.
Chen, Xin.
Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.
Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech
URL: http://hdl.handle.net/1853/54859
► A load-enhanced methodology has been proposed to enable the in situ detection, localization, and characterization of damage in metallic plate-like structures using Lamb waves. A…
(more)
▼ A load-enhanced methodology has been proposed to enable the in situ detection, localization, and characterization of damage in metallic plate-like structures using Lamb waves. A baseline-free load-differential method using the delay-and-sum imaging algorithm is proposed for defect detection and localization. The term “load-differential” refers to the comparison of recorded ultrasonic signals at various levels of stress. Defect characterization is achieved by incorporating expected scattering information of guided waves interacting with defects into the minimum variance imaging algorithm, and a method for estimating such scattering patterns from the measurements of a sparse transducer array is developed. The estimation method includes signal preprocessing, extracting initial scattering values from baseline subtraction results, and obtaining the complete scattering matrix by applying radial basis function interpolation. The factors that cause estimation errors, such as the shape parameter used to form the basis function and the filling distance used in the interpolation, are discussed.
The estimated scattering patterns from sparse array measurements agree reasonably well with laser wavefield data and are further used in the load-enhanced method. The results from fatigue tests show that the load-enhanced method is capable of detecting cracks, providing reasonable estimates of their localizations and orientations, and discriminating them from drilled holes, disbonds, and fastener tightness variations.
Advisors/Committee Members: Michaels, Jennifer E. (advisor), Michaels, Thomas E. (committee member), Lanterman, Aaron D. (committee member), Durgin, Gregory D. (committee member), Zhang, Ying (committee member), Ruzzene, Massimo (committee member).
Subjects/Keywords: Lamb waves; Scattering; Sparse sensor array; Load-enhanced method; Crack detection; Crack localization; Crack characterization; Complex components; Laser vibrometry
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APA (6th Edition):
Chen, X. (2015). Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54859
Chicago Manual of Style (16th Edition):
Chen, Xin. “Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.” 2015. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/54859.
MLA Handbook (7th Edition):
Chen, Xin. “Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.” 2015. Web. 04 Mar 2021.
Vancouver:
Chen X. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/54859.
Council of Science Editors:
Chen X. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54859
12.
Kumbakonam Chandrasekar, Ramalingam.
PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs.
Degree: MS, Electrical and Computer Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/47633
► Wireless Sensor Networks (WSNs) are rapidly gaining popularity in various critical domains like health care, critical infrastructure, and climate monitoring, where application builders have diversified…
(more)
▼ Wireless Sensor Networks (WSNs) are rapidly gaining popularity in various critical domains like health care, critical infrastructure, and climate monitoring, where application builders have diversified development needs. Independent of the functionalities provided by the WSN applications, many of the developers use visualization, simulation, and programming tools. However, these tools are designed as separate stand-alone applications, which force developers to use multiple tools. This situation often poses confusion and hampers an efficient development experience. To avoid the complexity of using multiple tools, a new, extensible, multi-platform, scalable, and open-source framework called PROVIZ is designed. PROVIZ is an integrated visualization and programming framework with the following features: PROVIZ 1) visualizes sensor nodes and WSN traffic by parsing the data received either from a packet sniffer (e.g., a sensor-based sniffer, or a commercial TI SmartRF 802.15.4 packet sniffer), or from a simulator (e.g., OMNeT); 2) visualizes a heterogeneous WSN consisting of different sensor nodes sending packets with different packet payload formats; and 3) provides a programming framework, which provides a graphical and script-based programming functionality, for developing WSN applications. Also, PROVIZ includes built-in extensible visual demo deployment capabilities that allow users to quickly craft network scenarios and share them with other users. Additionally, a secure and energy efficient wireless code dissemination protocol, named SIMAGE, was developed. SIMAGE is used by PROVIZ to wirelessly reprogram the sensor nodes. SIMAGE uses a link quality cognizant adaptive packet-sizing technique along with energy-efficient encryption protocols for secure and efficient code dissemination. In this thesis, the various features of PROVIZ's visualization and programming framework are explained, the functionality and performance of SIMAGE protocol is described, an example WSN security attack scenario is analyzed, and how PROVIZ can be used as a visual debugging tool to identify the security attack and aid in providing a software fix are discussed.
Advisors/Committee Members: Beyah, Raheem (Committee Chair), Coyle, Edward (Committee Member), Zhang, Ying (Committee Member).
Subjects/Keywords: Secure code dissemination; SIMAGE; Wireless code dissemination; Simulation tool; Programming tool; Visualization and monitoring tool; PROVIZ; Wireless sensor networks; Wireless sensor networks; Information visualization
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APA (6th Edition):
Kumbakonam Chandrasekar, R. (2013). PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47633
Chicago Manual of Style (16th Edition):
Kumbakonam Chandrasekar, Ramalingam. “PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs.” 2013. Masters Thesis, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/47633.
MLA Handbook (7th Edition):
Kumbakonam Chandrasekar, Ramalingam. “PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs.” 2013. Web. 04 Mar 2021.
Vancouver:
Kumbakonam Chandrasekar R. PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/47633.
Council of Science Editors:
Kumbakonam Chandrasekar R. PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47633
13.
Cui, Bai.
Distribution system service restoration by dynamic programming considering switch characteristics.
Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/60303
► The objective of the proposed research is to develop a systematic approach of finding the optimal switching sequence leading to optimal post-fault topology in distribution…
(more)
▼ The objective of the proposed research is to develop a systematic approach of finding the optimal switching sequence leading to optimal post-fault topology in distribution system restoration (DSR) problem. The purpose of DSR is to reconfigure the topology of distribution system through switching actions to restore power to customers subject to system faults. Many existing methods formulate DSR problems as single-step optimization problem where the only control devices are remotely controllable sectionalizers. The problem with this approach is that when various kinds of switches are present in the distribution system, certain sequence of switching actions need to be followed based on the different characteristics of the switches, which is not considered by the single-step optimization formulations. To the best of our knowledge, there hasn't been research reported in the literature that considers the characteristics of switches and couples the constraints in the optimization problem to derive feasible switching sequences in a systematic and mathematically rigorous way. By formulating the DSR problem as a dynamic programming (DP) problem, the solution can be found in a systematic way with guaranteed optimality. Switch current limits as well as system operational constraints are considered in the formulation. Scalability to larger systems and related computational issues are discussed.
Advisors/Committee Members: Saeedifard, Maryam (committee member), Zhang, Ying (committee member), Graber, Lukas (committee member), Deng, Shijie (committee member).
Subjects/Keywords: Power distribution systems; Service restoration; Dynamic programming; Distribution automation
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APA (6th Edition):
Cui, B. (2018). Distribution system service restoration by dynamic programming considering switch characteristics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60303
Chicago Manual of Style (16th Edition):
Cui, Bai. “Distribution system service restoration by dynamic programming considering switch characteristics.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/60303.
MLA Handbook (7th Edition):
Cui, Bai. “Distribution system service restoration by dynamic programming considering switch characteristics.” 2018. Web. 04 Mar 2021.
Vancouver:
Cui B. Distribution system service restoration by dynamic programming considering switch characteristics. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/60303.
Council of Science Editors:
Cui B. Distribution system service restoration by dynamic programming considering switch characteristics. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60303
14.
Hasan, Azhar.
Passive wireless sensor based on reflected electro-material signatures.
Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech
URL: http://hdl.handle.net/1853/43686
► The objective of the proposed research is to devise a methodology for sensing and tracking environmental variables using a passive wireless sensor based on reflected…
(more)
▼ The objective of the proposed research is to devise a methodology for sensing and tracking environmental variables using a passive wireless sensor based on reflected electro-material signatures. Viability of item level tracking demands the sensor to be extraordinary low cost, thus eliminating the use of any active sensor or memory circuitry. Recent developments of materials whose electrical properties can change significantly with the environmental conditions suggest the possibility of developing a passive sensor that can be interrogated remotely to extract data about the time tracked environmental changes at the sensor. A simple passive sensor, based on the concept of reflected electro-material signatures (REMS), consists of an antenna attached to a microstrip transmission line, which in turn is routed over one or more sections of variable permittivity material before being terminated in a load. The basic idea revolves around sensing the electrical properties of thermotropic liquid crystal (LCs) trapped in a polymer substrate to record the temperature data. As the temperature changes with time, the polymerization process through the material line records the historical temperature profile in the spatial distribution of the electrical properties, thus enabling the system to extract the historical profile of temperature without using any active memory circuitry. This concept can possibly be used to track a variety of variables of interest; however, the proposed research is focused on sensing and extracting the time profile of temperature. The problem of identifying medium properties from waves reflected from a device of this type is a form of the classical one dimensional inverse scattering problem. For profile inversion in a lossy inhomogeneous media, analytical techniques are difficult to implement in most practical situations. In the proposed research, neural networks with a back-propagation algorithm are used to reconstruct the historical temperature profile of the material by extracting the spatially distributed material properties of the electro-material line. After the initial proof of concept for a lossless medium, the methodology is extended to extract spatially distributed properties for a dissipative medium. Finally, for the implementation of REMS sensor concept, a neural network based methodology is developed to reconstruct the spatially distributed permittivity profile of a lossy electro-material line.
Advisors/Committee Members: Peterson, Andrew (Committee Chair), Durgin, Gregory (Committee Member), Tentzeris, Emmanouil (Committee Member), Wang, Yang (Committee Member), Zhang, Ying (Committee Member).
Subjects/Keywords: Passive Sensor; REMS; Permittivity; RFID; Passive components; Detectors; Remote sensing
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APA (6th Edition):
Hasan, A. (2012). Passive wireless sensor based on reflected electro-material signatures. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43686
Chicago Manual of Style (16th Edition):
Hasan, Azhar. “Passive wireless sensor based on reflected electro-material signatures.” 2012. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/43686.
MLA Handbook (7th Edition):
Hasan, Azhar. “Passive wireless sensor based on reflected electro-material signatures.” 2012. Web. 04 Mar 2021.
Vancouver:
Hasan A. Passive wireless sensor based on reflected electro-material signatures. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/43686.
Council of Science Editors:
Hasan A. Passive wireless sensor based on reflected electro-material signatures. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43686
15.
Jin, Longde.
Experimental and numerical modeling of fluid injection into unconsolidated formations.
Degree: PhD, Civil and Environmental Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/59219
► Both the fracturing and acid cleaning processes in unconsolidated reservoirs are examined in this work. Specifically, we first focus on characterizing how the fracture morphology…
(more)
▼ Both the fracturing and acid cleaning processes in unconsolidated reservoirs are examined in this work. Specifically, we first focus on characterizing how the fracture morphology and fluid leakoff are affected by the injection rate, fluid rheology and formation permeability. A series of injection experiments is performed with mixtures of sand and silica flour as analog materials for unconsolidated formations. We show that as the weight percentage of the silica flour increases, the matrix permeability decreases significantly and the capillary effect becomes non-negligible. Compared with the injection experiments with pure sand, an additional dimensionless number incorporating surface tension is introduced in order to characterize the fluid-grain displacement process. Effect of the non-Newtonian fluid rheology is subsequently analyzed using the discrete element method (DEM) coupled with a pore-network model. The quasi-steady-state fluid flow algorithm is improved to enhance numerical stability in modeling fluid injection in a wellbore. It is shown that the high shear rate rheology is critical to the near-wellbore failure and fluid flow. Furthermore, a hybrid phase field method is constructed to model the fracturing process. The benefit of the phase field method is that creation of a fracture could be modeled through explicit consideration of phase change. Finally, the acid cleaning process is simulated using a hydro-chemically coupled scheme implemented in an equation based solver. Effects of the injection rate, the acid reaction rate and the fracture conductivity are examined. Outcomes from this research could serve as guidelines to optimize the field practice.
Advisors/Committee Members: Huang, Haiying (advisor), Burns, Susan (committee member), Frost, David (committee member), Germanovich, Leonid (committee member), Zhang, Ying (committee member).
Subjects/Keywords: Hydraulic fracturing; Unconsolidated formations; Geomechanics; Flow in porous media; Binary mixture; Granular fingering; Capillary effect; Discrete element method; Pore network model; Non-Newtonian fluid; Shear thinning fluid; Phase field method; Acid cleaning
…Georgia Tech [12, 33,
43]. To analyze the fracture geometry, Chang [12] and…
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APA (6th Edition):
Jin, L. (2017). Experimental and numerical modeling of fluid injection into unconsolidated formations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59219
Chicago Manual of Style (16th Edition):
Jin, Longde. “Experimental and numerical modeling of fluid injection into unconsolidated formations.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/59219.
MLA Handbook (7th Edition):
Jin, Longde. “Experimental and numerical modeling of fluid injection into unconsolidated formations.” 2017. Web. 04 Mar 2021.
Vancouver:
Jin L. Experimental and numerical modeling of fluid injection into unconsolidated formations. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/59219.
Council of Science Editors:
Jin L. Experimental and numerical modeling of fluid injection into unconsolidated formations. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59219
16.
Liu, Yu.
Transmission line protection and fault locating based on dynamic state estimation.
Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/58674
► The objective of the proposed research is to develop a systematic way to (a) quickly and reliably protect transmission line from internal faults; and (b)…
(more)
▼ The objective of the proposed research is to develop a systematic way to (a) quickly and reliably protect transmission line from internal faults; and (b) accurately find the location of the fault. To solve above protection and fault locating problems, a new Dynamic State Estimation (DSE) based algorithm is proposed. The algorithm requires a device dynamic model, a model of measurements and a dynamic state estimation process. The overall Dynamic State Estimation based algorithm is implemented in an object-oriented way with the use of a standard syntax referred to as State Control and Parameter Algebraic Quadratic Companion Form (SCPAQCF). Specifically, for the protection application, the method finds internal faults by evaluating the consistency between the measurements and the dynamic model of the transmission line. For the fault locating application, the method estimates fault location as a parameter of the dynamic model of the transmission line. Also, a parameter identification algorithm during normal operating conditions is introduced to ensure the accuracy of the dynamic models.
Advisors/Committee Members: Meliopoulos, A. P. (advisor), Habetler, Thomas (committee member), Saeedifard, Maryam (committee member), Zhang, Ying (committee member), Sun, Andy (committee member).
Subjects/Keywords: Dynamic state estimation; Protective relaying; Fault locating; Parameter Identification; Transmission lines
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APA (6th Edition):
Liu, Y. (2017). Transmission line protection and fault locating based on dynamic state estimation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58674
Chicago Manual of Style (16th Edition):
Liu, Yu. “Transmission line protection and fault locating based on dynamic state estimation.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/58674.
MLA Handbook (7th Edition):
Liu, Yu. “Transmission line protection and fault locating based on dynamic state estimation.” 2017. Web. 04 Mar 2021.
Vancouver:
Liu Y. Transmission line protection and fault locating based on dynamic state estimation. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/58674.
Council of Science Editors:
Liu Y. Transmission line protection and fault locating based on dynamic state estimation. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58674
17.
Alaudah, Yazeed.
Weakly-supervised semantic labeling of migrated seismic data.
Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/61719
► Deep learning has revolutionized the fields of machine learning and computer vision. However, the availability of annotated data to train state-of-the-art deep networks is one…
(more)
▼ Deep learning has revolutionized the fields of machine learning and computer vision. However, the availability of annotated data to train state-of-the-art deep networks is one of the main bottlenecks to the successful application of deep learning, especially to applications like seismic interpretation where annotated data is extremely scarce. In this thesis, we develop a weakly-supervised framework for the semantic labeling of large seismic volumes. This framework involves developing a state-of-the-art texture similarity measure and using it for retrieving large numbers of images with high visual similarity to exemplar images for each target class. Images with high visual similarity can be assigned image-level labels matching those of the exemplar images used to retrieve them. A novel weakly-supervised label mapping algorithm, based on orthogonal non-negative matrix factorization, is then used to transform these image-level labels into pixel-level labels that encode the locations of the target classes within each image. Finally, these weak pixel-level labels are used to train deep convolutional networks for the semantic labeling of various seismic structures and lithostratigraphic units within large seismic volumes. A special loss function is introduced to help the networks learn effectively when trained with weak labels. The benefit of this work is that it enables the training and deployment of deep learning models to new application domains – such as seismic interpretation – where sufficient quantities of labeled data are not available, and annotation costs are prohibitively expensive.
Advisors/Committee Members: AlRegib, Ghassan (advisor), McClellan, James H. (committee member), Davenport, Mark (committee member), Peng, Zhigang (committee member), Zhang, Ying (committee member).
Subjects/Keywords: Deep learning; Weakly supervised learning; Seismic data; Semantic segmentation; Seismic interpretation
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APA (6th Edition):
Alaudah, Y. (2019). Weakly-supervised semantic labeling of migrated seismic data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61719
Chicago Manual of Style (16th Edition):
Alaudah, Yazeed. “Weakly-supervised semantic labeling of migrated seismic data.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/61719.
MLA Handbook (7th Edition):
Alaudah, Yazeed. “Weakly-supervised semantic labeling of migrated seismic data.” 2019. Web. 04 Mar 2021.
Vancouver:
Alaudah Y. Weakly-supervised semantic labeling of migrated seismic data. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/61719.
Council of Science Editors:
Alaudah Y. Weakly-supervised semantic labeling of migrated seismic data. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61719
18.
Williams, Westin Bruce.
Characterization of anisotropic guided wave propagation and scattering for robust In situ ultrasonic imaging of damage.
Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/61200
► A methodology was developed to characterize material wave propagation and scattering from damage in anisotropic composite materials that can be used to improve in situ…
(more)
▼ A methodology was developed to characterize material wave propagation and scattering from damage in anisotropic composite materials that can be used to improve in situ sparse array imaging performance. Composite materials used for aerospace applications are highly susceptible to impacts, which can result in barely visible delaminations. Reliable and fast detection of such damage through structural health monitoring is needed to prevent structural failures. The primary novelty of this work is the methodology developed to estimate 2-D scattering matrices for anisotropic composite panels where scattering from both artificial and real impact damage are evaluated and compared. It is shown that incorporating these scattering estimates into in situ imaging improves performance by enhancing damage detection and reducing image noise. Additional work was also performed for characterizing anisotropic wave propagation and the results from this characterization process are utilized in estimating damage scattering in the same anisotropic composites.
Advisors/Committee Members: Michaels, Jennifer E. (advisor), Michaels, Thomas E. (advisor), Ruzzene, Massimo (committee member), Ferri, Bonnie H. (committee member), Scott, Waymond R. (committee member), Zhang, Ying (committee member).
Subjects/Keywords: NDE; SHM; Wave propagation characterization; Scattering estimation; Anisotropic material; Composites
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APA (6th Edition):
Williams, W. B. (2019). Characterization of anisotropic guided wave propagation and scattering for robust In situ ultrasonic imaging of damage. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61200
Chicago Manual of Style (16th Edition):
Williams, Westin Bruce. “Characterization of anisotropic guided wave propagation and scattering for robust In situ ultrasonic imaging of damage.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/61200.
MLA Handbook (7th Edition):
Williams, Westin Bruce. “Characterization of anisotropic guided wave propagation and scattering for robust In situ ultrasonic imaging of damage.” 2019. Web. 04 Mar 2021.
Vancouver:
Williams WB. Characterization of anisotropic guided wave propagation and scattering for robust In situ ultrasonic imaging of damage. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/61200.
Council of Science Editors:
Williams WB. Characterization of anisotropic guided wave propagation and scattering for robust In situ ultrasonic imaging of damage. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61200
19.
Jung, Jin Woo.
Methods of cooperative routing to optimize the lifetime of multi-hop wireless sensor networks.
Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/47622
► This dissertation presents methods of extending the network lifetime of multi-hop wireless sensor networks (WSNs) through routing that uses cooperative transmission (CT), referred to as…
(more)
▼ This dissertation presents methods of extending the network lifetime of multi-hop wireless sensor networks (WSNs) through routing that uses cooperative transmission (CT), referred to as cooperative routing. CT can have a signal-to-noise ratio (SNR) advantage over non-CT schemes through cooperative diversity and simple aggregation of transmit power, and one of its abilities is to extend the communication range of a wireless device using this SNR advantage. In this research, we use the range-extension ability of CT as a tool to mitigate the energy-hole problem of multi-hop WSNs and extend the network lifetime.
The main contributions of this research are (i) an analytical model for a cooperative routing protocol with a deployment method, (ii) cooperative routing protocols that can extend the network lifetime, and (iii) formulating the lifetime-optimization problem for cooperative routing. The analytical model developed in this research theoretically proves that, in a situation where non-CT routing cannot avoid the energy-hole problem, our CT method can solve the problem. PROTECT, a CT method based on the analytical model, provides a very simple way of doing cooperative routing and can improve the lifetime of non-CT networks significantly. REACT, a cooperative routing protocol that uses the energy information of nodes, overcomes some of the limitations of PROTECT and can be applied to any existing non-CT routing protocol to improve the network lifetime. Using REACT and analytical approaches, we also show that cooperative routing can be beneficial in multi-hop energy-harvesting WSNs. By formulating and solving the lifetime-optimization problem of cooperative routing, which requires a much more sophisticated formulation than that of non-CT routing, we explore the optimal lifetime bounds and behaviors of cooperative routing. Finally, we study and design online cooperative routing methods that can perform close to the optimal cooperative routing.
Advisors/Committee Members: Ingram, Mary Ann (Committee Chair), Belinfante, Johan (Committee Member), Li, Geoffrey (Committee Member), Sivakumar, Raghupathy (Committee Member), Zhang, Ying (Committee Member).
Subjects/Keywords: Wireless sensor networks; Cooperative transmission; Cooperative routing; Wireless sensor nodes; Computer networks; Sensor networks; Routing (Computer network management)
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APA (6th Edition):
Jung, J. W. (2013). Methods of cooperative routing to optimize the lifetime of multi-hop wireless sensor networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47622
Chicago Manual of Style (16th Edition):
Jung, Jin Woo. “Methods of cooperative routing to optimize the lifetime of multi-hop wireless sensor networks.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/47622.
MLA Handbook (7th Edition):
Jung, Jin Woo. “Methods of cooperative routing to optimize the lifetime of multi-hop wireless sensor networks.” 2013. Web. 04 Mar 2021.
Vancouver:
Jung JW. Methods of cooperative routing to optimize the lifetime of multi-hop wireless sensor networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/47622.
Council of Science Editors:
Jung JW. Methods of cooperative routing to optimize the lifetime of multi-hop wireless sensor networks. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47622
20.
Yang, Hengzhao.
Task scheduling in supercapacitor based environmentally powered wireless sensor nodes.
Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/48962
► The objective of this dissertation is to develop task scheduling guidelines and algorithms for wireless sensor nodes that harvest energy from ambient environment and use…
(more)
▼ The objective of this dissertation is to develop task scheduling guidelines and algorithms for wireless sensor nodes that harvest energy from ambient environment and use supercapacitor based storage systems to buffer the harvested energy. This dissertation makes five contributions. First, a physics based equivalent circuit model for supercapacitors is developed. The variable leakage resistance (VLR) model takes into account three mechanisms of supercapacitors: voltage dependency of capacitance, charge redistribution, and self-discharge. Second, the effects of time and supercapacitor initial state on supercapacitor voltage change and energy loss during charge redistribution are investigated. Third, the task scheduling problem in supercapacitor based environmentally powered wireless sensor nodes is studied qualitatively. The impacts of supercapacitor state and energy harvesting on task scheduling are examined. Task scheduling rules are developed. Fourth, the task scheduling problem in supercapacitor based environmentally powered wireless sensor nodes is studied quantitatively. The modified earliest deadline first (MEDF) algorithm is developed to schedule nonpreemptable tasks without precedence constraints. Finally, the modified first in first out (MFIFO) algorithm is proposed to schedule nonpreemptable tasks with precedence constraints. The MEDF and MFIFO algorithms take into account energy constraints of tasks in addition to timing constraints. The MEDF and MFIFO algorithms improve the energy performance and maintain the timing performance of the earliest deadline first (EDF) and first in first out (FIFO) algorithms, respectively.
Advisors/Committee Members: Zhang, Ying (advisor), AlRegib, Ghassan (committee member), Weitnauer, Mary Ann (committee member), Rincon-Mora, Gabriel Alfonso (committee member), Wang, Yang (committee member).
Subjects/Keywords: Task scheduling; Supercapacitor; Energy harvesting; Wireless sensor nodes; Power management; Sensor networks; Detectors; Timing circuits
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APA (6th Edition):
Yang, H. (2013). Task scheduling in supercapacitor based environmentally powered wireless sensor nodes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/48962
Chicago Manual of Style (16th Edition):
Yang, Hengzhao. “Task scheduling in supercapacitor based environmentally powered wireless sensor nodes.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/48962.
MLA Handbook (7th Edition):
Yang, Hengzhao. “Task scheduling in supercapacitor based environmentally powered wireless sensor nodes.” 2013. Web. 04 Mar 2021.
Vancouver:
Yang H. Task scheduling in supercapacitor based environmentally powered wireless sensor nodes. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/48962.
Council of Science Editors:
Yang H. Task scheduling in supercapacitor based environmentally powered wireless sensor nodes. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/48962
21.
Sun, Zhi.
Reliable and efficient communication in wireless underground sensor networks.
Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech
URL: http://hdl.handle.net/1853/41150
► Wireless Underground Sensor Networks (WUSNs) are the networks of wireless sensors that operate below the ground surface. These sensors are either buried completely in soil…
(more)
▼ Wireless Underground Sensor Networks (WUSNs) are the networks of wireless sensors that operate below the ground surface. These sensors are either buried completely in soil medium, or placed within a bounded open underground space, such as underground mines and tunnels. WUSNs enable a wide variety of novel applications, including intelligent irrigation, underground structure monitoring, and border patrol and intruder detection.
This thesis is concerned with establishing reliable and efficient communications in the network of wireless sensor nodes that are deployed in either soil medium or underground mines and tunnels. In particular, to realize WUSNs in soil medium, two types of signal propagation techniques including Electromagnetic (EM) waves and Magnetic Induction (MI) are explored. For EM wave-based WUSNs, the heterogeneous network architecture and dynamic connectivity are investigated based on a comprehensive channel model in soil medium. Then a spatio-temporal correlation-based data collection schemes is developed to reduce the sensor density while keeping high monitoring accuracy. For MI-based WUSNs, the MI channel is first analytically characterized. Then based on the MI channel model, the MI waveguide technique is developed in order to enlarge the underground transmission range. Finally, the optimal deployment algorithms for MI waveguides in WUSNs are analyzed to construct the WUSNs with high reliability and low costs. To realize WUSNs in underground mines and tunnels, a mode-based analytical channel model is first proposed to accurately characterize the signal propagation in both empty and obstructed mines and tunnels. Then the Multiple-Input and Multiple-Output (MIMO) system and cooperative communication system are optimized to establish reliable and efficient communications in underground mines and tunnels.
Advisors/Committee Members: Akyildiz, Ian (Committee Chair), Ammar, Mostafa (Committee Member), Ingram, Mary Ann (Committee Member), Li, Ye (Committee Member), Zhang, Ying (Committee Member).
Subjects/Keywords: Magnetic induction; Wireless networking; Underground communications; Wireless communications; Wireless sensor networks; Wireless sensor networks; Underground areas Communication systems
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APA (6th Edition):
Sun, Z. (2011). Reliable and efficient communication in wireless underground sensor networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41150
Chicago Manual of Style (16th Edition):
Sun, Zhi. “Reliable and efficient communication in wireless underground sensor networks.” 2011. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/41150.
MLA Handbook (7th Edition):
Sun, Zhi. “Reliable and efficient communication in wireless underground sensor networks.” 2011. Web. 04 Mar 2021.
Vancouver:
Sun Z. Reliable and efficient communication in wireless underground sensor networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/41150.
Council of Science Editors:
Sun Z. Reliable and efficient communication in wireless underground sensor networks. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41150
22.
Wei, Xiangmin.
GPR data processing for reinforced concrete bridge decks.
Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech
URL: http://hdl.handle.net/1853/53066
► In this thesis, several aspects of GPR data processing for RC bridge decks are studied. First, autofocusing techniques are proposed to replace the previous expensive…
(more)
▼ In this thesis, several aspects of GPR data processing for RC bridge decks are studied. First, autofocusing techniques are proposed to replace the previous expensive and unreliable human visual inspections during the iterative migration process for the estimation of the velocity/dielectric permittivity distribution from GPR data. Second, F-K filtering with dip relaxation is proposed for interference removal that is important for both imaging and the performance of post-processing techniques including autofocusing techniques and CS-based migration studied in this thesis. The targeted interferes here are direct waves and cross rebar reflections. The introduced dip relaxation is for accommodating surface roughness and medium inhomogeneity. Third, the newly developed CS-based migration is modified and evaluated on GPR data from RC bridge decks. A more accurate model by accounting for impulse waveform distortion that leads to less modeling errors is proposed. The impact of the selection of the regularization parameter on the comparative amplitude reservation and the imaging performance is also investigated, and an approach to preserve the comparative amplitude information while still maintaining a clear image is proposed. Moreover, the potential of initially sampling the time-spatial data with uniform sampling rates lower than that required by traditional migration methods is evaluated.
Advisors/Committee Members: Zhang, Ying (advisor), Scott, Waymond R. (committee member), AlRegib, Ghassan (committee member), Peterson, Andrew F. (committee member), Wang, Yang (committee member).
Subjects/Keywords: Ground penetrating radar; Image processing; Non-destructive evaluation; Autofocusing; F-K filter; Reinforced concrete bridge deck; Compressive sensing; Migration; Velocity analysis
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APA (6th Edition):
Wei, X. (2014). GPR data processing for reinforced concrete bridge decks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53066
Chicago Manual of Style (16th Edition):
Wei, Xiangmin. “GPR data processing for reinforced concrete bridge decks.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/53066.
MLA Handbook (7th Edition):
Wei, Xiangmin. “GPR data processing for reinforced concrete bridge decks.” 2014. Web. 04 Mar 2021.
Vancouver:
Wei X. GPR data processing for reinforced concrete bridge decks. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/53066.
Council of Science Editors:
Wei X. GPR data processing for reinforced concrete bridge decks. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53066
23.
Fu, Jenna L.
Micromachined piezoelectric-on-silicon platform for resonant sensing and energy harvesting.
Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/52188
► A microelectromechanical systems (MEMS)-based environmental monitoring platform was presented in this dissertation. All devices were realized using thin-film piezoelectric-on-substrate (TPoS) technology, which provides a path…
(more)
▼ A microelectromechanical systems (MEMS)-based environmental monitoring platform was presented in this dissertation. All devices were realized using thin-film piezoelectric-on-substrate (TPoS) technology, which provides a path to integrate various functionalities on a single substrate with MEMS components. TPoS resonators exhibit high quality factors (Qs) in air and are capable of low-power oscillator implementation, which further qualifies such a platform for mobile and portable systems.
To validate the TPoS platform, gravimetric humidity sensing was demonstrated with thermally-corrected output by an uncoated "reference" temperature sensor. Also presented were TPoS sensors for toluene and xylene, which are pollutants of great importance for indoor and outdoor air quality as well as health screenings. Silicon dual-mode resonators and oscillators for self-temperature sensing were also explored. Dual-mode thermometry exploits the inherent frequency-temperature dependence of silicon to accurately and locally measure device temperature, forming an essential building block of highly stable oscillators and sensors.
Multi-axis piezo-on-Si kinetic energy harvesting (KEH) devices with integrated frequency-upconverting transducers were also introduced. Devices were micromachined on the same substrate as TPoS resonant sensors and have an individual volume in mm3, enabling applications in wireless autonomous sensor nodes. In remote locations where continuous operation may be required, TPoS energy harvesters can provide battery replacement or recharging alternatives that do not increase overall system size.
Advisors/Committee Members: Ayazi, Farrokh (advisor), Brand, Oliver (committee member), Zhang, Ying (committee member), Allen, Mark G. (committee member), Bergin, Michael H. (committee member).
Subjects/Keywords: Piezoelectric micro-resonators; Environmental sensing; Silicon resonators; Gravimetric sensing
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CHOICE… …electromechanical coupling, is readily available in the
Georgia Tech cleanroom and has been optimized to…
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APA (6th Edition):
Fu, J. L. (2013). Micromachined piezoelectric-on-silicon platform for resonant sensing and energy harvesting. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52188
Chicago Manual of Style (16th Edition):
Fu, Jenna L. “Micromachined piezoelectric-on-silicon platform for resonant sensing and energy harvesting.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/52188.
MLA Handbook (7th Edition):
Fu, Jenna L. “Micromachined piezoelectric-on-silicon platform for resonant sensing and energy harvesting.” 2013. Web. 04 Mar 2021.
Vancouver:
Fu JL. Micromachined piezoelectric-on-silicon platform for resonant sensing and energy harvesting. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/52188.
Council of Science Editors:
Fu JL. Micromachined piezoelectric-on-silicon platform for resonant sensing and energy harvesting. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52188
24.
Cheng, Siwei.
Utilizing the connected power electronic converter for improved condition monitoring of induction motors and claw-pole generators.
Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech
URL: http://hdl.handle.net/1853/43638
► This dissertation proposes several simple, robust, and non-intrusive condition monitoring methods for induction motors fed by closed-loop inverters and claw-pole generators with built-in rectifiers. While…
(more)
▼ This dissertation proposes several simple, robust, and non-intrusive condition monitoring methods for induction motors fed by closed-loop inverters and claw-pole generators with built-in rectifiers. While the flexible energy forms synthesized by power electronic converters greatly enhance the performance and expand the operating region of induction motors and claw-pole generators, they also significantly alter the fault behavior of these electric machines and complicate the fault detection and protection. In this dissertation, special characteristics of the connected closed-loop inverter and rectifier have been thoroughly analyzed, with particular interest in their impact on fault behaviors of the induction motor and the claw-pole generator. Based on the findings obtained from the theoretical and experimental analysis, several sensorless thermal, mechanical, and insulation monitoring methods are proposed by smartly utilizing special features and capabilities of the connected power electronic converter.
A simple and sensitive stator turn-fault detector is proposed for induction motors fed by closed-loop inverter. In addition, a stator thermal monitoring method based on active DC current injection and direct voltage estimation is also proposed to prevent the closed-loop controlled induction motors from thermally overloading. The performance of both methods is demonstrated by extensive experimental results.
Methods to detect serpentine belt slip, serpentine belt defect, rotor eccentricity have been proposed for claw-pole generators using only the available electric sensor information. Methods to detect and protect stator turn faults in claw-pole generators are also presented in this dissertation. Lastly, a novel method to detect the generalized bearing roughness fault is proposed. All the proposed condition monitoring techniques have been validated by experimental results.
Advisors/Committee Members: Habetler, Thomas (Committee Chair), Grijalva, Santiago (Committee Member), Harley, Ronald (Committee Member), Mayor, J. Rhett (Committee Member), Zhang, Ying (Committee Member).
Subjects/Keywords: Induction motor; Claw-pole generator; Condition monitoring; Fault diagnostics; Power electronic converter; Electric motors, Induction; Electric machinery, Induction; Machinery Monitoring; Fault location (Engineering); Electric fault location
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APA ·
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APA (6th Edition):
Cheng, S. (2012). Utilizing the connected power electronic converter for improved condition monitoring of induction motors and claw-pole generators. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43638
Chicago Manual of Style (16th Edition):
Cheng, Siwei. “Utilizing the connected power electronic converter for improved condition monitoring of induction motors and claw-pole generators.” 2012. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/43638.
MLA Handbook (7th Edition):
Cheng, Siwei. “Utilizing the connected power electronic converter for improved condition monitoring of induction motors and claw-pole generators.” 2012. Web. 04 Mar 2021.
Vancouver:
Cheng S. Utilizing the connected power electronic converter for improved condition monitoring of induction motors and claw-pole generators. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/43638.
Council of Science Editors:
Cheng S. Utilizing the connected power electronic converter for improved condition monitoring of induction motors and claw-pole generators. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43638
25.
Choi, Sungyun.
Autonomous state estimation and its application to the autonomous operation of the distribution system with distributed generations.
Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/50250
► The objective of this thesis is to propose guidelines for advanced operation, control, and protection of the restructured distribution system by designing the architecture and…
(more)
▼ The objective of this thesis is to propose guidelines for advanced operation, control, and protection of the restructured distribution system by designing the architecture and functionality for autonomous operation of the distribution system with DGs. The proposed architecture consists of (1) autonomous state estimation and (2) applications that enable autonomous operation; in particular, three applications are discussed: setting-less component protection, instant-by-instant management, and short-term operational planning. Key elements of the proposed approach have been verified: (1) the proposed autonomous state estimation has been experimentally tested using laboratory test systems and (2) the feasibility of the setting-less component protection has been tested with numerical simulations.
Advisors/Committee Members: Meliopoulos, A. P. Sakis (advisor), Harley, Ronald G. (committee member), Egerstedt, Magnus B. (committee member), Zhang, Ying (committee member), Sun, Andy (committee member).
Subjects/Keywords: State estimation; Autonomous operation; Distribution systems; Automatic control; Electric power distribution
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APA (6th Edition):
Choi, S. (2013). Autonomous state estimation and its application to the autonomous operation of the distribution system with distributed generations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50250
Chicago Manual of Style (16th Edition):
Choi, Sungyun. “Autonomous state estimation and its application to the autonomous operation of the distribution system with distributed generations.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/50250.
MLA Handbook (7th Edition):
Choi, Sungyun. “Autonomous state estimation and its application to the autonomous operation of the distribution system with distributed generations.” 2013. Web. 04 Mar 2021.
Vancouver:
Choi S. Autonomous state estimation and its application to the autonomous operation of the distribution system with distributed generations. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/50250.
Council of Science Editors:
Choi S. Autonomous state estimation and its application to the autonomous operation of the distribution system with distributed generations. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50250
26.
Weng, Yu.
A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates.
Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/59885
► The objective of this research is to present a comprehensive approach for characterizing and quantifying the scattering of angle-beam ultrasonic shear waves from a variety…
(more)
▼ The objective of this research is to present a comprehensive approach for characterizing and quantifying the scattering of angle-beam ultrasonic shear waves from a variety of scatterers in plates. The motivation behind analyzing angle-beam shear wave propagation and scattering is to obtain a better understanding of shear wave interactions with defects and improve the reliability and accuracy of inspection techniques for nondestructive evaluation. The scatterers investigated here include through-holes, part-through holes, and notches emanating from through-holes. Scattering from both through-holes and notches, aimed to mimic actual ultrasonic defects in practice, is of particular interest to the aerospace industry because crack-like defects usually grow from fastener holes, which presents a potential hazard to aircraft components if undetected. There are two main contributions of this research. One is the acquisition of a comprehensive set of wavefield data for a variety of scattering scenarios via wavefield imaging. The other is the development of a systematic methodology for ultrasonic shear wave scattering estimation using a complete set of signal processing techniques. All methodologies presented in this thesis are demonstrated to be effective and reliable for showing useful scattering information.
Advisors/Committee Members: Michaels, Jennifer E. (advisor), Lanterman, Aaron D. (committee member), Zhang, Ying (committee member), Sabra, Karim (committee member), Ruzzene, Massimo (committee member).
Subjects/Keywords: Angle-beam shear waves; Wavefield imaging; Ultrasonic scattering; Ultrasonic ray tracing; Ultrasonic signal processing; Nondestructive evaluation
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APA (6th Edition):
Weng, Y. (2018). A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59885
Chicago Manual of Style (16th Edition):
Weng, Yu. “A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/59885.
MLA Handbook (7th Edition):
Weng, Yu. “A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates.” 2018. Web. 04 Mar 2021.
Vancouver:
Weng Y. A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/59885.
Council of Science Editors:
Weng Y. A comprehensive approach for wavefield-based characterization of ultrasonic shear wave scattering in plates. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59885
27.
Askari, Murtaza.
High efficiency devices based on slow light in photonic crystals.
Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech
URL: http://hdl.handle.net/1853/39558
► Photonic crystals have allowed unprecedented control of light and have allowed bringing new functionalities on chip. Photonic crystal waveguides (PCWs), which are linear defects in…
(more)
▼ Photonic crystals have allowed unprecedented control of light and have allowed bringing new functionalities on chip. Photonic crystal waveguides (PCWs), which are linear defects in a photonic crystal, have unique features that distinguish these waveguides from other waveguides. The unique features include very large dispersion, existence of slow light, and the possibility of tailoring the dispersion properties for guiding light. In my research, I have overcome some of the challenges in using slow light in PCWs. In this work, I have demonstrated (i) high efficiency coupling of light into slow group velocity modes of a PCW, (ii) large bandwidth high transmission and low dispersion bends in PCWs, (iii) accurate modeling of pulse propagation in PCWs, (iv) high efficiency absorbing boundary conditions for dispersive slow group velocity modes of PCWs. To demonstrate the utility of slow light in designing high efficiency devices, I have demonstrated refractive index sensors using slow light in PCWs. In the end, a few high efficiency devices based on slow light in PCWs are mentioned. The remaining issues in the widespread use of PCW are also discussed in the last chapter.
Advisors/Committee Members: Adibi, Ali (Committee Chair), Gaylord, Thomas K. (Committee Member), Peterson, Andrew F. (Committee Member), Sandhage, Kenneth H. (Committee Member), Zhang, Ying (Committee Member).
Subjects/Keywords: Waveguides; Photonic crystals; Integrated optics; Bends; Couplers; Sensing; Absorbing boundary condition; Photonics; Wave guides; Electromagnetic waves
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APA (6th Edition):
Askari, M. (2011). High efficiency devices based on slow light in photonic crystals. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39558
Chicago Manual of Style (16th Edition):
Askari, Murtaza. “High efficiency devices based on slow light in photonic crystals.” 2011. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/39558.
MLA Handbook (7th Edition):
Askari, Murtaza. “High efficiency devices based on slow light in photonic crystals.” 2011. Web. 04 Mar 2021.
Vancouver:
Askari M. High efficiency devices based on slow light in photonic crystals. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/39558.
Council of Science Editors:
Askari M. High efficiency devices based on slow light in photonic crystals. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39558
28.
Ju, Qianao.
Power management for Internet of battery-less things.
Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/60915
► The objective of the thesis is to develop a resource management framework for Internet of Battery-less Things (IoBT). With the proliferation of Internet of Things…
(more)
▼ The objective of the thesis is to develop a resource management framework for Internet of Battery-less Things (IoBT). With the proliferation of Internet of Things (IoT) and IoT-related services, how to power such a gigantic number of IoT systems in a cost-efficient and environment-friendly way becomes a bottleneck problem. Empowered by energy harvesting technologies, IoBT is a promising solution with prolonged lifetime and self-sustainable operation. To achieve sustainable operation of IoBT with high power efficiency, resource management strategies at both the node level and network level are investigated. At the node level, a redistribution-aware power manager is designed to minimize the charge redistribution energy loss incurred by the novel energy storage device, supercapacitor. Then, a predictive power management framework is designed to improve the energy utilization of IoBT systems. At the network level, an adaptive clustering framework is developed to achieve high and fair data collection rate with low overhead for IoBT-operated cluster. In addition, a collaborative in-network processing framework is developed to minimize the data processing latency for IoBT networks. With the node-level and network-level resource managers, the proposed research provides a holistic resource management framework for IoBT.
Advisors/Committee Members: Zhang, Ying (advisor), Weitnauer, Mary Ann (committee member), Beyah, Raheem (committee member), Wills, Linda M. (committee member), Wang, Yang (committee member).
Subjects/Keywords: Energy harvesting; Internet of battery-less things; Resource management
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APA (6th Edition):
Ju, Q. (2018). Power management for Internet of battery-less things. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60915
Chicago Manual of Style (16th Edition):
Ju, Qianao. “Power management for Internet of battery-less things.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021.
http://hdl.handle.net/1853/60915.
MLA Handbook (7th Edition):
Ju, Qianao. “Power management for Internet of battery-less things.” 2018. Web. 04 Mar 2021.
Vancouver:
Ju Q. Power management for Internet of battery-less things. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Mar 04].
Available from: http://hdl.handle.net/1853/60915.
Council of Science Editors:
Ju Q. Power management for Internet of battery-less things. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60915
. 
Open Access Theses and Dissertations
