You searched for +publisher:"Vanderbilt University" +contributor:("Gautam Biswas").
Showing records 1 – 30 of
78 total matches.
◁ [1] [2] [3] ▶
Vanderbilt University
1.
Lattmann, Zsolt.
A Multi-Domain Functional Dependency Modeling Tool Based on Extended Hybrid Bond Graphs.
Degree: MS, Electrical Engineering, 2010, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-03262010-095703/ 
;
► Modeling physical systems is necessary to understand how they work and how the compositions of physical components (i.e., complex physical systems) behave. Graphical modeling languages…
(more)
▼ Modeling physical systems is necessary to understand how they work and how the compositions of physical components (i.e., complex physical systems) behave. Graphical modeling languages are often used in engineering design. A graphical modeling tool such as Generic Modeling Environment (GME) helps managing complexity and supports the reuse of models to improve productivity and reduce the design time. This thesis describes two results: the Functional Dependency Model (FDM), a Domain Specific Modeling Language (DSML) that can be used for modeling complex physical systems, and the FDM Model Interpreter (FDMMI), that generates Simulink models from the FDM models. The DSML is based on hybrid bond graphs with some extensions: simple controller elements, sensors, actuation elements, modulation functions, switching functions, information links, and power links. While bond graphs provide a domain independent modeling language, FDM supports to use of power ports from different domains (i.e., electrical, mechanical, hydraulic, and thermal) to allow for modeling the domain specific parts of a system. The model interpreter checks some of the design rules, generates the causal graph of the system, and generates a Simulink model of the system. The modeler can then simulate and analyze the system using the simulation engine of MATLAB.
Advisors/Committee Members: Gabor Karsai (chair), Gautam Biswas (chair).
Subjects/Keywords: hiererchical bond graph; power propagation
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lattmann, Z. (2010). A Multi-Domain Functional Dependency Modeling Tool Based on Extended Hybrid Bond Graphs. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03262010-095703/ ;
Chicago Manual of Style (16th Edition):
Lattmann, Zsolt. “A Multi-Domain Functional Dependency Modeling Tool Based on Extended Hybrid Bond Graphs.” 2010. Masters Thesis, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-03262010-095703/ ;.
MLA Handbook (7th Edition):
Lattmann, Zsolt. “A Multi-Domain Functional Dependency Modeling Tool Based on Extended Hybrid Bond Graphs.” 2010. Web. 08 Dec 2019.
Vancouver:
Lattmann Z. A Multi-Domain Functional Dependency Modeling Tool Based on Extended Hybrid Bond Graphs. [Internet] [Masters thesis]. Vanderbilt University; 2010. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-03262010-095703/ ;.
Council of Science Editors:
Lattmann Z. A Multi-Domain Functional Dependency Modeling Tool Based on Extended Hybrid Bond Graphs. [Masters Thesis]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu/available/etd-03262010-095703/ ;
Vanderbilt University
2.
Podgursky, Benjamin T.
Practical k-Anonymity on large datasets.
Degree: MS, Computer Science, 2011, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-04042011-120300/
;
► The implicit contract between an individual and a website is that a viewer will remain anonymous unless they choose to identify themselves. On the other…
(more)
▼ The implicit contract between an individual and a website is that a viewer will remain anonymous unless they choose to identify themselves. On the other hand, there are many advantages to allowing websites to tailor content to viewers based on hints about the person's likely interests and habits. However, as people spend increasing amounts of time engaged networked and online, the line between a person's online presence and their offline identity has blurred. Ideally the goals of providing personalized internet content and the implicit contract of net-anonymity can be reconciled. This thesis studies what research from the field of privacy preserving data publishing can be used to use offline data anonymously for web personalization.
The anonymity models of k-Anonymity and (k,1)-Anonymity, or k-Unlinkability, turn out to be promising models to study for this problem, and this work studies how to anonymize insight data using these models. Rapleaf is a company that helps websites personalize their content, with the goal of anonymizing content while still keeping the data specific enough to be insightful. Rapleaf's personalization dataset is used as a case study for investigating the challenges associated with anonymizing one of these datasets.
It is hoped that through the findings reported here web data can be anonymized while remaining useful, and that organizations will be encouraged to view anonymity and insight as goals that can be equitably balanced, rather than being mutually exclusive.
Advisors/Committee Members: Douglas Fisher (committee member), Gautam Biswas (chair).
Subjects/Keywords: clustering; anonymity; privacy
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Podgursky, B. T. (2011). Practical k-Anonymity on large datasets. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;
Chicago Manual of Style (16th Edition):
Podgursky, Benjamin T. “Practical k-Anonymity on large datasets.” 2011. Masters Thesis, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;.
MLA Handbook (7th Edition):
Podgursky, Benjamin T. “Practical k-Anonymity on large datasets.” 2011. Web. 08 Dec 2019.
Vancouver:
Podgursky BT. Practical k-Anonymity on large datasets. [Internet] [Masters thesis]. Vanderbilt University; 2011. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;.
Council of Science Editors:
Podgursky BT. Practical k-Anonymity on large datasets. [Masters Thesis]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu/available/etd-04042011-120300/ ;
Vanderbilt University
3.
Szarka, Tamas.
Structural, Behavioral and Functional Modeling of Cyber-Physical Systems.
Degree: MS, Computer Science, 2011, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-06102011-180128/
;
► Building preliminary mathematical models to simulate system behavior is an essential part of designing dependable cyber-physical systems (CPS). This thesis presents the implementation of…
(more)
▼ Building preliminary mathematical models to simulate system behavior is an essential part of designing dependable cyber-physical systems (CPS). This thesis presents the implementation of a visual modeling environment that supports compositional component-based modeling and simulation of cyber-physical systems. For this purpose, we have designed a domain specific modeling language (DSML), then implemented two model interpreters, and a MatlabŸ block- and function- library to support the model building and simulation tasks.
The modeling language employs the hybrid bond graph formalism to facilitate building cross-domain physical system models, and an extended version of the Grafcet model of computation to formally represent and analyze the discrete behavior evolution of the hybrid system. Domain models complying with the DSML capture the Functional, Behavioral and Structural aspects of the system, by explicitly modeling the interaction of the physical processes and the controlling computational units. The associated model interpreter automates the generation of hybrid simulation models. Grafcet models also incorporate logical constraints to express functional requirements for the system in the form of Hoare triples.
Finally, the thesis also presents a case study, which describes the approach to model building and simulation of the Reverse Osmosis subsystem of the NASA Advanced Life Support System. The original test results from the testbed at NASA Johnson Space Center confirm the correctness of our model and simulation results.
Advisors/Committee Members: Gautam Biswas (committee member), Gabor Karsai (committee member).
Subjects/Keywords: HBG; DSML; modeling; GME; FBS; CPS; bond graph
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Szarka, T. (2011). Structural, Behavioral and Functional Modeling of Cyber-Physical Systems. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-06102011-180128/ ;
Chicago Manual of Style (16th Edition):
Szarka, Tamas. “Structural, Behavioral and Functional Modeling of Cyber-Physical Systems.” 2011. Masters Thesis, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-06102011-180128/ ;.
MLA Handbook (7th Edition):
Szarka, Tamas. “Structural, Behavioral and Functional Modeling of Cyber-Physical Systems.” 2011. Web. 08 Dec 2019.
Vancouver:
Szarka T. Structural, Behavioral and Functional Modeling of Cyber-Physical Systems. [Internet] [Masters thesis]. Vanderbilt University; 2011. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-06102011-180128/ ;.
Council of Science Editors:
Szarka T. Structural, Behavioral and Functional Modeling of Cyber-Physical Systems. [Masters Thesis]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu/available/etd-06102011-180128/ ;
Vanderbilt University
4.
Weng, Jiannian.
Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.
Degree: MS, Computer Science, 2013, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/
;
► Fault diagnosis approaches for nonlinear real-world systems play a very important role in maintaining dependable, robust operations of safety-critical systems like aircraft, automobiles, power plants…
(more)
▼ Fault diagnosis approaches for nonlinear real-world systems play a very important role in maintaining dependable, robust operations of safety-critical systems like aircraft, automobiles, power plants and planetary rovers. They require online tracking functions to monitor system behavior and ensure system operations remain within specified safety limits. It is important that such methods are robust to uncertainties, such as modeling errors, disturbance and measurement noise. In this thesis, we employ a temporal Bayesian technique called Dynamic Bayesian Networks (DBNs) to model nonlinear dynamic systems for uncertain probabilistic reasoning in diagnosis application domains. Within the DBN framework, we develop the modeling scheme, model construction process, and the use of the models to build diagnostic models for online diagnosis. This thesis also performs a preliminary comparison of two particle filter algorithms: generic particle filters (GPF) and auxiliary particle filter (APF). These are commonly used for tracking and estimating the true system behavior. Our approach to diagnosis includes a DBN model based diagnosis framework combining qualitative TRANSCEND scheme and quantitative methods for refining the fault isolation, and using parameter estimation techniques to provide more precise estimates of fault hypotheses. As a proof of concept, we apply this DBN based diagnosis scheme to the Reverse Osmosis (RO) subsystem of the Advanced Water Recovery System (AWRS). Performance of the two particle filter algorithms are compared based on a number of fault scenarios and different levels of noise as well. The results show our DBN-based scheme is effective for fault isolation and identification of complex nonlinear systems.
Advisors/Committee Members: Prof. Sandeep Neema (committee member), Prof. Gautam Biswas (committee member).
Subjects/Keywords: Particle Filter; Fault Diagnosis; Dynamic Bayesian Network; Nonlinear
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Weng, J. (2013). Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;
Chicago Manual of Style (16th Edition):
Weng, Jiannian. “Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.” 2013. Masters Thesis, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;.
MLA Handbook (7th Edition):
Weng, Jiannian. “Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.” 2013. Web. 08 Dec 2019.
Vancouver:
Weng J. Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. [Internet] [Masters thesis]. Vanderbilt University; 2013. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;.
Council of Science Editors:
Weng J. Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. [Masters Thesis]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;
Vanderbilt University
5.
Fennessy, Grant.
Autonomous Vehicle End-to-End Reinforcement Learning Model and the Effects of Image Segmentation on Model Quality.
Degree: MS, Computer Science, 2019, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-03122019-204330/
;
► Autonomous driving has the potential not only to transform people's lives, but also save them. Fully understanding state of the art autonomous driving architectures, however,…
(more)
▼ Autonomous driving has the potential not only to transform people's lives, but also save them. Fully understanding state of the art autonomous driving architectures, however, requires a wide breadth of knowledge on available sensors, perception, image segmentation, localization, path planning, neural networks, convolution, and more. This thesis proposes a simple end-to-end architecture that has promising behavioral results. Two novel techniques are also introduced: a new exploration algorithm that seeks to produce more robust training behaviors over simple linear decay models, and a new data splitting technique that splits a layer into multiple semantically meaningful layers in an attempt to improve feature recognition by a convolutional neural network. A series of end-to-end models are trained with access to either a ground truth semantic segmentation perceptor or an image camera perceptor with a semantic segmentation predictor model. Models are evaluated and results are compared to see which approach is superior. The perceptor configuration on the trained models is switched and evaluation is run again to see how the it reacts to a change in perceptor quality. This thesis hypothesizes that models should be trained on ground truth semantic segmentation data, even if the trained model will ultimately be evaluated with a semantic segmenter model, as the model quality should prove superior and training time can be reduced substantially.
Advisors/Committee Members: Xenofon Koutsoukos (committee member), Gautam Biswas (committee member).
Subjects/Keywords: simulation; deeplab; probabilistic exploration; depth splitting; autonomous driving; reinforcement learning; image segmentation
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Fennessy, G. (2019). Autonomous Vehicle End-to-End Reinforcement Learning Model and the Effects of Image Segmentation on Model Quality. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03122019-204330/ ;
Chicago Manual of Style (16th Edition):
Fennessy, Grant. “Autonomous Vehicle End-to-End Reinforcement Learning Model and the Effects of Image Segmentation on Model Quality.” 2019. Masters Thesis, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-03122019-204330/ ;.
MLA Handbook (7th Edition):
Fennessy, Grant. “Autonomous Vehicle End-to-End Reinforcement Learning Model and the Effects of Image Segmentation on Model Quality.” 2019. Web. 08 Dec 2019.
Vancouver:
Fennessy G. Autonomous Vehicle End-to-End Reinforcement Learning Model and the Effects of Image Segmentation on Model Quality. [Internet] [Masters thesis]. Vanderbilt University; 2019. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-03122019-204330/ ;.
Council of Science Editors:
Fennessy G. Autonomous Vehicle End-to-End Reinforcement Learning Model and the Effects of Image Segmentation on Model Quality. [Masters Thesis]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-03122019-204330/ ;
Vanderbilt University
6.
Li, Xiaowei.
Detection and prevention of logic attacks against web applications through black-box analysis.
Degree: PhD, Computer Science, 2013, Vanderbilt University
URL: http://etd.library.vanderbilt.edu//available/etd-05302013-125736/
;
► The three-tier web architecture is becoming the de-facto solution for delivering information and business services over the Internet. The center of this architecture is a…
(more)
▼ The three-tier web architecture is becoming the de-facto solution for delivering information and business services over the Internet. The center of this architecture is a web application, which implements the business logic, accesses the information stored at the back-end database and interacts with the users through the front-end web server. As web applications get increasingly complex to support sophisticated business functionalities, an emerging class of vulnerabilities, which are referred to as logic vulnerabilities (a.k.a, logic flaws), have attracted increasing attention in recent years. The attacks that target on these vulnerabilities, which are referred to as logic attacks or state violation attacks, have posed serious security threats. To date, very few works have been devoted to the study of the logic vulnerabilities and effective measures to mitigate logic attacks are yet to be developed. Most existing works only target on one specific type of logic vulnerability, and are limited by the availability of application source code and the applicability to specific development languages and platforms. The major challenges come from the fact that application logic flaws and attacks are specific to the functionality of a particular web application and its implementation usually comes without an explicit logic specification.
In this dissertation, we aim to address logic attacks against web applications in an automated, general and black-box way (i.e., without requiring the application source code). We present several techniques for automatically deriving the application logic specification by observing and extracting patterns from the interactions between the application and users, as well as the database. Then, we leverage the inferred logic specification for both runtime detection of logic attacks (i.e., defensive approach) and discovery of logic vulnerabilities within web applications (i.e., preventive approach). The defensive approach can be utilized to protect potentially vulnerable web applications that cannot be taken offline for vulnerability analysis, while the preventive approach can help the developers to identify and fix logic flaws within the application implementations so that they are immune to logic attacks. We implemented two prototype systems – BLOCK and SENTINAL, based on our defensive techniques and three prototypes systems – LogicScope, EXPELLER, BATMAN, based on our preventive techniques. These prototype systems have different features and focuses. We evaluate them over a set of real world open-source web applications. The experiment results demonstrate the effectiveness of our techniques and prototype systems.
Advisors/Committee Members: Yuan Xue (chair), Janos Sztipanovits (committee member), Bradley Malin (committee member), Douglas C. Schmidt (committee member), Gautam Biswas (committee member).
Subjects/Keywords: Access Control; Database Access; Black-box Analysis; Logic Attack; Web Application Security; Logic Vulnerability
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Li, X. (2013). Detection and prevention of logic attacks against web applications through black-box analysis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-05302013-125736/ ;
Chicago Manual of Style (16th Edition):
Li, Xiaowei. “Detection and prevention of logic attacks against web applications through black-box analysis.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu//available/etd-05302013-125736/ ;.
MLA Handbook (7th Edition):
Li, Xiaowei. “Detection and prevention of logic attacks against web applications through black-box analysis.” 2013. Web. 08 Dec 2019.
Vancouver:
Li X. Detection and prevention of logic attacks against web applications through black-box analysis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu//available/etd-05302013-125736/ ;.
Council of Science Editors:
Li X. Detection and prevention of logic attacks against web applications through black-box analysis. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu//available/etd-05302013-125736/ ;
Vanderbilt University
7.
Roy, Nilabja.
QoS assurance and control of large scale distributed component based systems.
Degree: PhD, Computer Science, 2010, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-12022010-131755/
;
► Large scale distributed component based applications provide a number of different services to its clients. Such applications normally serve huge number of concurrent clients and…
(more)
▼ Large scale distributed component based applications provide
a number of different services to its clients. Such
applications normally serve huge number of concurrent clients
and need to provide a decent Quality of Service (QoS). A
deployment domain composed of several machines are used to host
these applications. The application components are distributed
across the machines and communicate among themselves. An
important objective of the owner of such a deployment will be
to handle as much clients as possible during any given time
which will obviously maximize the revenue earned. But this also
needs to be done by keeping the costs down and also by providing
every customer a minimum amount of QoS. The cost can be reduced
by minimizing the number of machines used and using less power.
This thesis works towards a solution to the above and comes up
with novel application component placement heuristics which makes
sure that the overall resources of the domain is utilized in the
best possible way. The intuition behind this work is that
components are the smallest elements of an application from the
perspective of resource usage. By distributing the components in
a judicious way across the machines, it is possible to ensure that
a minimum of resources is wasted. The work presented here uses a
three phase strategy to come up with a solution. In the first
phase, the component resource requirement is identified using
profiling and workload modeling techniques. In the second phase
detailed performance estimation of the application is carried
out using analytical methods. In the third and final phase heuristics
are proposed which uses the component resource requirement and
the performance estimation methods to come up with placing the
components across the machines. It ensures that such a placement
will waste the least of resources.
In the final part of this work, it applies this work in the
context of modern data center planning. The most important challenge
in modern day data centers is to support large customer bases with
high expectation of performance. The incoming workload to the
application is highly varying with periodic increase and decrease
of workload. If resources are allocated for average workload then
performance suffers during peak workload while planning for
peak workload keeps resources idle during less workload. Cloud
computing is an emerging trend which allows the elastic
configuration of resources where machines can be acquired and
released on the go. This work proposes a dynamic capacity
planning framework for cost minimization based on a look ahead
control algorithm which combines performance modeling,
workload forecasting and cost optimization to plan for resource
allocation in a dynamic environment. The results show how the
resources can be allocated just-in-time with workload
fluctuations. The dissertation also presents the various way
resource is allocated as the various cost components change.
Advisors/Committee Members: Aniruddha Gokhale (chair), Douglas C. Schmidt (committee member), Gautam Biswas (committee member), Larry Dowdy (committee member), Janos Sztipanovits (committee member).
Subjects/Keywords: queuing models; component based systems; analytical model; simulation model; performance engineering; Resource allocation; colored petri net; lookahead control; workload modeling
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Roy, N. (2010). QoS assurance and control of large scale distributed component based systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;
Chicago Manual of Style (16th Edition):
Roy, Nilabja. “QoS assurance and control of large scale distributed component based systems.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;.
MLA Handbook (7th Edition):
Roy, Nilabja. “QoS assurance and control of large scale distributed component based systems.” 2010. Web. 08 Dec 2019.
Vancouver:
Roy N. QoS assurance and control of large scale distributed component based systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;.
Council of Science Editors:
Roy N. QoS assurance and control of large scale distributed component based systems. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu/available/etd-12022010-131755/ ;
Vanderbilt University
8.
Herberg, Jonathan.
Representing Social Agents, Actions, and Knowledge States at Separate Levels of Explicitness.
Degree: PhD, Psychology, 2011, Vanderbilt University
URL: http://etd.library.vanderbilt.edu//available/etd-04112011-031022/
;
► This dissertation first sketches a framework integrating various processes that have been proposed to account for the human capacity for action perception and analysis. The…
(more)
▼ This dissertation first sketches a framework integrating various processes that have been proposed to account for the human capacity for action perception and analysis. The framework is then applied to interpreting two sets of experiments. In the first set I investigate how automatic simulation processes function in predicting reaches from perceiving gazes. In the second set I test the costs versus benefits to one's learning from the deliberate reasoning about a social agent's knowledge states, and the consequent social highlighting behaviors one engages in, when demonstrating an action. Taken together, these studies suggest roles as well as limitations for automatic simulation and deliberate inferential reasoning in action perception and understanding.
Advisors/Committee Members: Megan Saylor (chair), John Rieser (committee member), Gautam Biswas (committee member), Daniel Levin (committee member).
Subjects/Keywords: Action Analysis; Theory-of-Mind; Simulation; Social Cognition
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Herberg, J. (2011). Representing Social Agents, Actions, and Knowledge States at Separate Levels of Explicitness. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-04112011-031022/ ;
Chicago Manual of Style (16th Edition):
Herberg, Jonathan. “Representing Social Agents, Actions, and Knowledge States at Separate Levels of Explicitness.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu//available/etd-04112011-031022/ ;.
MLA Handbook (7th Edition):
Herberg, Jonathan. “Representing Social Agents, Actions, and Knowledge States at Separate Levels of Explicitness.” 2011. Web. 08 Dec 2019.
Vancouver:
Herberg J. Representing Social Agents, Actions, and Knowledge States at Separate Levels of Explicitness. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu//available/etd-04112011-031022/ ;.
Council of Science Editors:
Herberg J. Representing Social Agents, Actions, and Knowledge States at Separate Levels of Explicitness. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu//available/etd-04112011-031022/ ;
Vanderbilt University
9.
Cao, Yanchuan.
Minimizing service disruption in peer-to-peer streaming.
Degree: PhD, Computer Science, 2011, Vanderbilt University
URL: http://etd.library.vanderbilt.edu//available/etd-02252011-134845/
;
► A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have…
(more)
▼ A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to consider fault resilience in peer selection, little understanding is achieved regarding the solvability and solution complexity of this problem from the optimization perspective. For peer-to-peer (P2P) streaming system in particular, in order to improve its streaming quality and stability, a P2P system should select peers with abundant bandwidth resource and prospect longevity as the parents of other peers. In this dissertation, we proposed an optimization framework to maximize resilient throughput, and an evaluation metric to minimize service disruption.
Advisors/Committee Members: Yuan Xue (committee member), William Robinson (committee member), Aniruddha Gokhale (committee member), Gautam Biswas (committee member), Yi Cui (chair).
Subjects/Keywords: peer-to-peer streaming; linear optimization; generalized flow
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Cao, Y. (2011). Minimizing service disruption in peer-to-peer streaming. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-02252011-134845/ ;
Chicago Manual of Style (16th Edition):
Cao, Yanchuan. “Minimizing service disruption in peer-to-peer streaming.” 2011. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu//available/etd-02252011-134845/ ;.
MLA Handbook (7th Edition):
Cao, Yanchuan. “Minimizing service disruption in peer-to-peer streaming.” 2011. Web. 08 Dec 2019.
Vancouver:
Cao Y. Minimizing service disruption in peer-to-peer streaming. [Internet] [Doctoral dissertation]. Vanderbilt University; 2011. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu//available/etd-02252011-134845/ ;.
Council of Science Editors:
Cao Y. Minimizing service disruption in peer-to-peer streaming. [Doctoral Dissertation]. Vanderbilt University; 2011. Available from: http://etd.library.vanderbilt.edu//available/etd-02252011-134845/ ;
Vanderbilt University
10.
Mack, Daniel Leif Campana.
Anomaly Detection from Complex Temporal Sequences in Large Data.
Degree: PhD, Computer Science, 2013, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-04092013-182409/
;
► As systems become more complex and the amount of operational data collected from these systems increases proportionally, new challenges arise about how this data can…
(more)
▼ As systems become more complex and the amount of operational data collected from these systems increases proportionally, new challenges arise about how this data can be used to better understand system operations, and detect unsafe behavior. For large systems made up of a number of interacting subsystems, detecting anomalous behavior while avoiding false alarms becomes an important problem. Anomaly detection in such systems must navigate large amounts of data that include a large number of operational runs under a variety of operating conditions, sensors, and long sequences of time series data that cover different aspects of system operation. From a safety viewpoint, we wish to use this data to improve the effectiveness of existing fault detection schemes. Of equal importance, is the development of methods that can detect previously unknown and undetected anomalies from the vast amounts of available operational data.
In this thesis, we have developed two approaches for anomaly detection in complex systems. The first approach uses supervised learning methods to improve the detection efficiency and accuracy of known anomalies in available diagnostic reasoners. The second approach uses unsupervised learning methods applied to the large amounts of data to identify previously undiscovered anomalies in system operations. Once anomalous instances are identified, we find the most discriminatory features, which then provide targeted information to help characterize the nature of the newly found anomalies for further study.
The methodologies developed in this thesis have been successfully applied to two big data domains. In the first domain, aircraft flight operations data is used for targeted improvement of known anomalies to improve diagnostic accuracy of a vehicle reasoner. This data is also used for identifying previously undetected or unknown anomalies during the takeoff phase of aircraft flight, which are then evaluated in terms of their potential impact on aviation safety. In the second domain, data recorded from pitches thrown in Major League Baseball games is used with our exploratory approach to identify anomalous games for individual pitchers, and then characterize these games in terms of the specific pitch types that differed from the nominal set thrown by these pitchers.
Advisors/Committee Members: Gabor Karsai (committee member), Gautam Biswas (chair), Xenofon Koutsoukos (committee member), Julie A. Adams (committee member), Doug Fisher (committee member).
Subjects/Keywords: baseball; aviation safety; complexity measures; anomaly detection
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mack, D. L. C. (2013). Anomaly Detection from Complex Temporal Sequences in Large Data. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04092013-182409/ ;
Chicago Manual of Style (16th Edition):
Mack, Daniel Leif Campana. “Anomaly Detection from Complex Temporal Sequences in Large Data.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-04092013-182409/ ;.
MLA Handbook (7th Edition):
Mack, Daniel Leif Campana. “Anomaly Detection from Complex Temporal Sequences in Large Data.” 2013. Web. 08 Dec 2019.
Vancouver:
Mack DLC. Anomaly Detection from Complex Temporal Sequences in Large Data. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-04092013-182409/ ;.
Council of Science Editors:
Mack DLC. Anomaly Detection from Complex Temporal Sequences in Large Data. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu/available/etd-04092013-182409/ ;
Vanderbilt University
11.
Zhang, Haifeng.
Algorithmic Marketing with Data-Driven Simulations.
Degree: PhD, Computer Science, 2017, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-06202017-101817/
;
► Marketing researchers and practitioners care about why and how products or services are adopted by consumers. The influential theory of innovation diffusion has been established…
(more)
▼ Marketing researchers and practitioners care about why and how products or services are adopted by consumers. The influential theory of innovation diffusion has been established for decades, but modeling and simulating the diffusion process remains notoriously challenging. Lately, agent-based models (ABMs) have dominated traditional aggregate diffusion models, due to the remarkable advantage to capture individual heterogeneity and social and spatial interactions. Our critical review of the empirically-grounded ABMs of innovation diffusion, however, reveals that few such ABMs are calibrated properly, validated rigorously, and developed explicitly for prediction. This clearly limits their use in supporting decision-making in practice. The thesis contributes a rigorous data-driven agent-based modeling (DDABM) approach that relies on state-of-the-art machine learning techniques to effectively calibrate and validate agent behavior models on massive and rich individual adoption data. The models are integrated into multi-agent simulations to precisely forecast roof-top solar adoption and efficiently explore subsidizing strategies in San Diego county, USA. Historically, ABMs were used to answer âwhat-ifâ questions and draw insights on the efficacy of different policies, however, few could provide executable and quantitative decisions. Mathematical optimization has been widely used to provide numerical solutions in many domains, but little effort has been made to couple it with ABMs. By solving marketing optimization problems in several important settings, such as, dynamic seeding of emerging technologies, route planning for door-to-door targeted marketing, and budget optimization in multi-channel marketing, the thesis also strongly demonstrates how efficient algorithms can aid the design of effective marketing policies facilitated by data-driven simulations, like ABMs, providing optimal or near-optimal actionable plans for marketers. The presented research characterized by computational modeling techniques and algorithmic methods could lead to our ultimate goal of intelligent machine-automated marketing.
Advisors/Committee Members: Yevgeniy Vorobeychik (chair), Gautam Biswas (committee member), Doug Fisher (committee member), Bradley Malin (committee member), William Rand (committee member).
Subjects/Keywords: Innovation Diffusion; Agent-based Modeling; Algorithm Design; Marketing
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhang, H. (2017). Algorithmic Marketing with Data-Driven Simulations. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-06202017-101817/ ;
Chicago Manual of Style (16th Edition):
Zhang, Haifeng. “Algorithmic Marketing with Data-Driven Simulations.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-06202017-101817/ ;.
MLA Handbook (7th Edition):
Zhang, Haifeng. “Algorithmic Marketing with Data-Driven Simulations.” 2017. Web. 08 Dec 2019.
Vancouver:
Zhang H. Algorithmic Marketing with Data-Driven Simulations. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-06202017-101817/ ;.
Council of Science Editors:
Zhang H. Algorithmic Marketing with Data-Driven Simulations. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://etd.library.vanderbilt.edu/available/etd-06202017-101817/ ;
Vanderbilt University
12.
Khorasgani, Hamed Ghazavi.
Model- and data-driven approaches to fault detection and isolation in complex systems.
Degree: PhD, Electrical Engineering, 2018, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-01182018-134749/
;
► Complex engineering systems pervade every aspect of our daily lives. The need for increased performance, safety, and reliability of these systems provide the motivation for…
(more)
▼ Complex engineering systems pervade every aspect of our daily lives. The need for increased performance, safety, and reliability of these systems provide the motivation for developing system health monitoring methodologies for these systems. It is important to develop diagnosis for nonlinear systems that are robust to model uncertainties and noisy measurements. For greater applicability, it becomes essential to extend these diagnosis methods to cover hybrid behaviors, and to apply in a distributed manner to complex systems. On the other hand, the lack of sufficiently rich and complete models for these complex systems, but the availability of data collected from system operations may indicate the need to move toward data-driven diagnosis approaches. The contributions of this thesis research are primarily categorized into: 1) model-based, and 2) data-driven diagnosis.
For robust model-based diagnosis, we have developed sensitivity analysis methods to quantify the performance of residuals generated for fault diagnosis in the presence of noise and uncertainty. We combine the robustness analysis with efficient residual selection algorithms to find a residual set that meets pre-specified diagnostic criteria. A second contribution of this thesis in the model-based diagnosis domain is developing two general approaches for distributed fault detection and isolation. The first method guarantees minimum communication of measurement values among subsystems. The second algorithm is computationally more efficient and it does not use the global system model for designing the local (distributed) diagnosers. However, it does not guarantee the minimum communication of measurement values. Our next contribution is developing model based methods that combine mode detection and diagnosis of faults in hybrid systems. Our approach does not require pre-enumeration of all possible modes and, therefore, it is feasible for hybrid systems with large number of switching elements.
Finally, towards our contributions to data-driven diagnosis, we combine the use of unsupervised learning techniques with expert knowledge to develop an anomaly detection method to discover previously unknown faults in a complex system. Our clustering algorithm helps determine regions of nominal behavior, and by extension outliers and anomalous groups that are well-separated from the nominal clusters. We derive significant features associate for each outlier group, and then consult experts to identify and characterize these anomalies as faults in system behavior.
Advisors/Committee Members: Gabor Karsai (committee member), Gautam Biswas (chair), Xenofon Koutsoukos (committee member), Akram Aldroubi (committee member), Don Wilkes (committee member).
Subjects/Keywords: Fault diagnosis; Fault detection and isolation; Unsupervised learning; Data-driven monitoring; Complex systems; Anomaly detection
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Khorasgani, H. G. (2018). Model- and data-driven approaches to fault detection and isolation in complex systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;
Chicago Manual of Style (16th Edition):
Khorasgani, Hamed Ghazavi. “Model- and data-driven approaches to fault detection and isolation in complex systems.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;.
MLA Handbook (7th Edition):
Khorasgani, Hamed Ghazavi. “Model- and data-driven approaches to fault detection and isolation in complex systems.” 2018. Web. 08 Dec 2019.
Vancouver:
Khorasgani HG. Model- and data-driven approaches to fault detection and isolation in complex systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;.
Council of Science Editors:
Khorasgani HG. Model- and data-driven approaches to fault detection and isolation in complex systems. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;
Vanderbilt University
13.
Neema, Himanshu.
Large-Scale Integration of Heterogeneous Simulations.
Degree: PhD, Computer Science, 2018, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-01172018-232437/
;
► Systems-of-Systems (SoS) are composed of several interacting and interdependent systems that necessitate the integration of complex, heterogeneous models that represent the ensemble from different points…
(more)
▼ Systems-of-Systems (SoS) are composed of several interacting and interdependent systems that necessitate the integration of complex, heterogeneous models that represent the ensemble from different points of view, such as organizational workflows, cyber infrastructure, and various engineering or physical domains. These models are complex and require different dynamic simulators to compute their behavior over time. Thus, evaluation of SoS as-a-whole necessitates integration of these heterogeneous simulators. This is highly challenging because it requires integrating both the heterogeneous system models with different semantics and concepts from different system domains (physical, computational, or human), and the heterogeneous system simulators that use different time-stepping and event handling methods. Further, real-world SoS simulation and experimentation requires a comprehensive framework for integration modeling, efficient model and system composition, parametric experiments, run-time deployment, simulation control, scenario-based experimentation, and system analysis.
This dissertation presents a model-based integration approach for integrating large-scale heterogeneous simulations. The approach is illustrated by developing a generic simulation integration and experimentation framework called the Command and Control Wind Tunnel (C2WT). It allows modeling systems with their interdependencies as well as connecting and relating the corresponding heterogeneous simulators in a logically and temporally coherent manner. Its generalizable methods and tools enable rapid synthesis of industry standards based integrated simulations. For real-world integrated simulation experiments, several novel techniques are presented such as mapping methods for integrating legacy components that cannot directly interface with SoS-level data models, a generic cyber communication network simulation component that can be reused for different SoSs, a reusable cyber-attack library for evaluating SoSâ security and resilience against cyber threats, and modeling and orchestration of alternative what-if scenarios for SoS evaluations. Further, for efficient simulation of complex dynamical models that exhibit different rate dynamics in different parts, a partitioning method is developed to split them into different sampling rate groups. In addition, a novel approach is presented for ontology based model composition. In-depth case studies are also provided to demonstrate the effectiveness of the overall integration approach.
Advisors/Committee Members: Gabor Karsai (chair), Janos Sztipanovits (committee member), Gautam Biswas (committee member), Jules White (committee member), Bharat Bhuva (committee member).
Subjects/Keywords: Modeling; Simulation; Model-Based Simulation Integration; Courses-of-Action; Distributed Simulations; High-Level Architecture; Cyber-Attack Library; FMU Co-Simulation; Ontology Based Model Composition; Functional Mockup Interface; Partitioning Dynamical Models; Scenario-Based Experimentation; Mapping Methods for Legacy Simulation Integration; Generic Network Simulation; Cyber-Attacks; Multi-Physics Simulation; Ontological Mapping Rules; COA; Ontological System Models; FMI
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Neema, H. (2018). Large-Scale Integration of Heterogeneous Simulations. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01172018-232437/ ;
Chicago Manual of Style (16th Edition):
Neema, Himanshu. “Large-Scale Integration of Heterogeneous Simulations.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-01172018-232437/ ;.
MLA Handbook (7th Edition):
Neema, Himanshu. “Large-Scale Integration of Heterogeneous Simulations.” 2018. Web. 08 Dec 2019.
Vancouver:
Neema H. Large-Scale Integration of Heterogeneous Simulations. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-01172018-232437/ ;.
Council of Science Editors:
Neema H. Large-Scale Integration of Heterogeneous Simulations. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-01172018-232437/ ;
Vanderbilt University
14.
Dong, Yi.
Modeling Students' Learning Behaviors in Open Ended Learning Environments.
Degree: PhD, Computer Science, 2018, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-09202018-134202/
;
► Open-Ended Learning Environments (OELEs) describe a class of environments that provide students with learning goals that are usually in the form of complex problem-solving and…
(more)
▼ Open-Ended Learning Environments (OELEs) describe a class of environments that provide students with learning goals that are usually in the form of complex problem-solving and model-building tasks. OELEs also scaffold studentsâ tasks with a set of tools, but provide them the freedom on how they combine and use these tools to progress towards their goals. Novice learners may have difficulties in accomplishing their tasks in OELEs, and the system can be designed to provide adaptive scaffolding to assist them in acquiring useful information, constructing problem solutions, and assessing their solution outcomes. Providing appropriate and adequate adaptive scaffolds requires a comprehensive understanding of studentsâ learning behaviors and accurate assessment of their learning performance. This information can be accumulated in the form of learner models as students work in the system.
This dissertation presents an approach for designing and developing accurate and refined learner modeling schemes using student data collected from different OELEs. The approach aims to address the data impoverishment problem by applying a Reinforcement Learning (RL) technique combined with Monte Carlo Tree Search (MCTS) to augment initial data set of studentsâ action sequences collected when students work with OELEs in classroom environments. The goal of the RL+MCTS approach is to learn more accurate models of students' learning behaviors with Hidden Markov Models (HMMs). By setting different reward functions in RL, two sets of reinforced models were generated to categorize and capture evolutions of studentsâ learning behaviors. These can then be used as the basis to predict studentsâ performance and provide adaptive scaffolds to help them develop better learning behaviors and improve their learning performance. Statistic evaluations and empirical analysis were applied to assess the reinforced models. Experiments with two OELEs (i.e., Bettyâs Brain and CTSiM) showed promising results, which demonstrates that this approach to be a good starting point for apply
Advisors/Committee Members: Enxia Zhang (committee member), Douglas Fisher (committee member), Maithilee Kunda (committee member), Akos Ledeczi (committee member), Gautam Biswas (chair).
Subjects/Keywords: learner modeling; data mining; machine learning; reinforcement learning; monte carlo tree search; hidden Markov model; coherence analysis
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dong, Y. (2018). Modeling Students' Learning Behaviors in Open Ended Learning Environments. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09202018-134202/ ;
Chicago Manual of Style (16th Edition):
Dong, Yi. “Modeling Students' Learning Behaviors in Open Ended Learning Environments.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-09202018-134202/ ;.
MLA Handbook (7th Edition):
Dong, Yi. “Modeling Students' Learning Behaviors in Open Ended Learning Environments.” 2018. Web. 08 Dec 2019.
Vancouver:
Dong Y. Modeling Students' Learning Behaviors in Open Ended Learning Environments. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-09202018-134202/ ;.
Council of Science Editors:
Dong Y. Modeling Students' Learning Behaviors in Open Ended Learning Environments. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-09202018-134202/ ;
Vanderbilt University
15.
Carl, Joshua David.
High Performance Numerical Simulations To Support System Level Design.
Degree: PhD, Electrical Engineering, 2016, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-12222015-065728/
;
► Cyber-physical systems (CPS) represent a class of complex engineered systems where functionality and behavior emerge through the interaction between the computational and physical domains. Simulation…
(more)
▼ Cyber-physical systems (CPS) represent a class of complex engineered systems where functionality and behavior emerge through the interaction between the computational and physical domains. Simulation provides design engineers with quick and accurate feedback on the behaviors generated by their designs, and, therefore, their correctness. Most modern engineering design workstations use multi-core CPUs that can typically support 8 to 12 parallel computational threads. Furthermore, the CPU is designed to share data across all the computational threads, making a multi-core processor a flexible parallel processing system. These multi-core CPUs also have a multi-layer cache that must be carefully considered when designing parallel software to avoid cache conflicts between the different threads. Unfortunately, most modern simulation environments execute system simulations on a single thread, which does not take full advantage of the processing power available on a modern CPU and for large, complex, CPSs these simulations can take a very long time to complete.
This thesis investigates methods to partition and simulate differential equation-based models of cyber-physical systems using multiple threads on a modern multi-core CPU. We describe model partitioning methods using fixed step and variable step numerical integration methods. Our methods consider the multi-layer cache structure of modern multi-core CPUs to avoid simulation performance degradation due to cache conflicts. We study the effectiveness of each parallel simulation algorithm by calculating the relative speedup compared to a serial simulation applied to a series of large electric circuit models (up to 1000 state variables). We also applied our parallel simulation algorithms to NASAâs Water Recovery System as a case study. Our parallel simulation algorithms produced a maximum speedup of 2.5 to 5.2 times the serial simulation, for models without algebraic loops, and a maximum speedup of 3.3 for models with algebraic loops. We also develop a series of guidelines for maximizing performance when developing parallel simulation software intended for use on multi-core CPUs.
Advisors/Committee Members: Gautam Biswas (chair), Sandeep Neema (committee member), Gabor Karsai (committee member), Xenofon D. Koutsoukos (committee member), Tom Withrow (committee member).
Subjects/Keywords: multi-core CPU; modeling; simulation; numerical integration; parallel processing
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Carl, J. D. (2016). High Performance Numerical Simulations To Support System Level Design. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-12222015-065728/ ;
Chicago Manual of Style (16th Edition):
Carl, Joshua David. “High Performance Numerical Simulations To Support System Level Design.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-12222015-065728/ ;.
MLA Handbook (7th Edition):
Carl, Joshua David. “High Performance Numerical Simulations To Support System Level Design.” 2016. Web. 08 Dec 2019.
Vancouver:
Carl JD. High Performance Numerical Simulations To Support System Level Design. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-12222015-065728/ ;.
Council of Science Editors:
Carl JD. High Performance Numerical Simulations To Support System Level Design. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-12222015-065728/ ;
Vanderbilt University
16.
Zhang, Wen.
Learning from Access Log to Mitigate Insider Threats.
Degree: PhD, Computer Science, 2016, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-03152016-201532/
;
► As the quantity of data collected, stored, and processed in information systems has grown, so too have insider threats. This type of threat is realized…
(more)
▼ As the quantity of data collected, stored, and processed in information systems has grown, so too have insider threats. This type of threat is realized when authorized individuals misuse their privileges to violate privacy or security policies. Over the past several decades, various technologies have been introduced to mitigate the insider threat, which can be roughly partitioned into two categories: 1) prospective and 2) retrospective. Prospective technologies are designed to specify and manage a userâs rights, such that misuse can be detected and prevented before it transpires. Conversely, retrospective technologies permit users to invoke privileges aim, but investigate the legitimacy of such actions after the fact.
Despite the existence of such strategies, administrators need to answer several critical questions to put them into practice. First, given a specific circumstance, which type of strategy (i.e., prospective vs. retrospective) should be adopted? Second, given the type of strategy, which is the best approach to support it in an operational manner? Existing approaches addressing them neglect that the data captured by information systems may be able to inform the decision making. As such, the overarching goal of this dissertation is to investigate how best to answer these questions using data-driven approaches.
This dissertation makes three technical contributions. The first contribution is in the introduction of a novel approach to quantify tradeoffs for prospective and retrospective strategies, under which each strategy is translated into a classification model, whereby the misclassification costs for each model are compared to facilitate decision support. This dissertation then introduces several data-driven approaches to realize the strategies. The second contribution is for prospective strategies, with a specific focus on role-based access control (RBAC). This dissertation introduces an approach to evolve an existing RBAC based on evidence in an access log, which relies on a strategy to promote roles from candidates. The third contribution is for retrospective strategies, whereby this dissertation introduces an auditing framework that can leverage workflow information to facilitate misuse detection. These methods are empirically validated in three months of access log (million accesses) derived from a real-world information system.
Advisors/Committee Members: Carl Gunter (committee member), Jules White (committee member), Yuan Xue (committee member), Bradley Malin (chair), Gautam Biswas (committee member).
Subjects/Keywords: privacy; data mining; audit; access control
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhang, W. (2016). Learning from Access Log to Mitigate Insider Threats. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03152016-201532/ ;
Chicago Manual of Style (16th Edition):
Zhang, Wen. “Learning from Access Log to Mitigate Insider Threats.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-03152016-201532/ ;.
MLA Handbook (7th Edition):
Zhang, Wen. “Learning from Access Log to Mitigate Insider Threats.” 2016. Web. 08 Dec 2019.
Vancouver:
Zhang W. Learning from Access Log to Mitigate Insider Threats. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-03152016-201532/ ;.
Council of Science Editors:
Zhang W. Learning from Access Log to Mitigate Insider Threats. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-03152016-201532/ ;
Vanderbilt University
17.
Li, Bo.
Secure learning in adversarial environments.
Degree: PhD, Computer Science, 2016, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-07082016-224435/
;
► Machine learning has become ubiquitous in the modern world, varying from enterprise applications to personal use cases and from image annotation and text recognition to…
(more)
▼ Machine learning has become ubiquitous in the modern world, varying from enterprise applications to personal use cases and from image annotation and text recognition to speech captioning and machine translation. Its capabilities in inferring patterns from data have found great success in the domains of prediction and decision making, including in security sensitive applications, such as intrusion detection, virus detection, biometric identity recognition, and spam filtering. However, strengths of such learning systems of traditional machine learning are based on the distributional stationarity assumption, and can become their vulnerabilities when there are adversarial manipulations during the training process (poisoning attack) or the testing process (evasion attack).
Considering the fact that the traditional learning strategies are potentially vulnerable to security faults, there is a need for machine learning techniques that are secure against sophisticated adversaries in order to fill the gap between the distributional stationarity assumption and deliberate adversarial manipulations. These techniques will be referred to as secure learning throughout this thesis.
To conduct systematic research for this secure learning problem, my study is based on three components. First, I model different kinds of attacks against the learning systems by evaluating the adversariesâ capabilities, goals and cost models. Second, I study the secure learning algorithms that counter any targeted malicious attacks by considering the specific goals of the learners and their resource and capability limitations theoretically. Concretely, I model the interactions between the defender (learning system) and attackers as different forms of games. Based on the game theoretic analysis, I evaluate the utilities and constraints for both participants, as well as optimize the secure learning system with respect to adversarial responses. Third, I design and implement practical algorithms to efficiently defend against multi-adversarial attack strategies.
My thesis focuses on examining and answering theoretical questions about the limits of classifier evasion (evasion attack), adversarial contamination (poisoning attack) and privacy preserving problem in adversarial environments, as well as how to design practical resilient learning algorithms for a wide range of applications, including spam filters, malware detection, network intrusion detection, recommendation systems, etc. In my study, I tailor my approaches for building scalable machine learning systems, which are demanded by modern big data applications.
Advisors/Committee Members: Daniel Fabbri (committee member), Xenofon Koutsoukos (committee member), Bradley Malin (committee member), Yevgeniy Vorobeychik (chair), Gautam Biswas (committee member).
Subjects/Keywords: machine learning; security; privacy; game theory
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Li, B. (2016). Secure learning in adversarial environments. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07082016-224435/ ;
Chicago Manual of Style (16th Edition):
Li, Bo. “Secure learning in adversarial environments.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-07082016-224435/ ;.
MLA Handbook (7th Edition):
Li, Bo. “Secure learning in adversarial environments.” 2016. Web. 08 Dec 2019.
Vancouver:
Li B. Secure learning in adversarial environments. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-07082016-224435/ ;.
Council of Science Editors:
Li B. Secure learning in adversarial environments. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-07082016-224435/ ;
Vanderbilt University
18.
Dickes, Amanda Catherine.
Computational Modeling in the Elementary Science Classroom.
Degree: PhD, Learning, Teaching and Diversity, 2017, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-01072017-154947/
;
► In recent years, leading educational scholars have argued for computational thinking to be an essential focus of K12 curriculum. Although now incorporated as an essential…
(more)
▼ In recent years, leading educational scholars have argued for computational thinking to be an essential focus of K12 curriculum. Although now incorporated as an essential concept for STEM education, research has shown that curricular integration of computational thinking and modeling is a complex and challenging endeavor which involves the introduction and adoption of new literacies to both teachers and students, alongside disciplinary ideas and practices that students already find challenging to understand. This three-paper dissertation addresses the challenge of merging computational thinking and modeling with elementary science curricula along three dimensions â material, cognitive and social - by investigating how students and the classroom teacher make use of forms of activity that integrate agent-based computational modeling with other forms of scientific modeling to support the co-development of scientific and computational literacy in the elementary classroom. The first paper examines the close-interplay between the material and cognitive dimensions by investigating the forms of reasoning fourth graders utilized to develop more expert-like explanations of predator-prey relationships and population change due to natural selection after interacting with an agent-based model. The second paper elaborates on the interplay between the material and cognitive dimensions as well as extends the work conducted in the first paper by investigating how computational modeling is enhanced through its integration with other material forms, specifically with scientific modeling. The role of the teacher in re-shaping the structure of activity, and how those re-shapings influenced the knowledge that developed during activity was an additional component of this work. The third paper takes a more integrative stance and investigates the interplay between social, material and cognitive dimensions of emerging computational and scientific literacies through the development of sociomathematical norms across several months of activity. This paper advances an argument that the teacherâs emphasis on mathematizing and measurement as key forms of learning activities helped to meaningfully establish computation as the âlanguageâ of science in the elementary classroom. As a set, this work contributes to our understanding of how computational thinking and programming can transform elementary science education. Together, these papers illustrate how integration of computation as a language of science in the elementary classroom involves careful consideration of the complex interplay between materials, both computational and non-computational, cognition and classroom culture and highlights the complex social dimensions that allow (or do not allow) various computational competencies to thrive in a classroom setting.
Advisors/Committee Members: Pratim Sengupta (committee member), Richard Lehrer (chair), Leona Schauble (committee member), Gautam Biswas (committee member).
Subjects/Keywords: Computational Literacy; Modeling; Elementary Science; Researcher-Teacher Partnerships
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dickes, A. C. (2017). Computational Modeling in the Elementary Science Classroom. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01072017-154947/ ;
Chicago Manual of Style (16th Edition):
Dickes, Amanda Catherine. “Computational Modeling in the Elementary Science Classroom.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-01072017-154947/ ;.
MLA Handbook (7th Edition):
Dickes, Amanda Catherine. “Computational Modeling in the Elementary Science Classroom.” 2017. Web. 08 Dec 2019.
Vancouver:
Dickes AC. Computational Modeling in the Elementary Science Classroom. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-01072017-154947/ ;.
Council of Science Editors:
Dickes AC. Computational Modeling in the Elementary Science Classroom. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://etd.library.vanderbilt.edu/available/etd-01072017-154947/ ;
Vanderbilt University
19.
Dukeman, Anton Leo.
Hybrid Mission Planning with Coalition Formation.
Degree: PhD, Computer Science, 2017, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-03272017-142516/
;
► Robotic systems have proven effective in many domains. Some robotic domains, such as mass casualty response, require close coupling between the humans and robots that…
(more)
▼ Robotic systems have proven effective in many domains. Some robotic domains, such as mass casualty response, require close coupling between the humans and robots that are able to adapt to the environment and tasks. The coalition formation problem allocates coalitions to each task, but does not produce executable plans. The planning problem creates executable plans, but problem difficulty scales with the number of agents and tasks in the problem. A hybrid solution to solve both problems will produce executable plans for the assigned tasks, while satisfying computational resource constraints. Four solution tools are presented and evaluated using four test domains, including a novel domain simulating the immediate response to a tornado by local government agencies. Each domain and problem was implemented in a new problem description language combining planning and coalition formation.
Planning alone is an existing tool to produce high quality plans by considering all possible interactions between tasks and agents simultaneously. However, planning alone requires large amounts of time and memory, both of which are constrained in real world applications. The coalition formation then planning tool factors the problem to reduce the required computational resources, but coalition formation cannot be relied upon to produce executable coalitions in all cases. The relaxed plan coalition augmentation tool addresses nonexecutable coalitions by selecting the agent(s) required to produce an executable coalition. The final tool, task fusion, addresses reduced solution quality by selecting tasks and coalitions for which planning together will increase solution quality. The relaxed plan coalition augmentation tool solved at least as many problems as planning alone and averaged much less computational resource usage. The task fusion tool solved more problems than planning alone, but plan quality and computational resource usage was mixed when compared to relaxed plan coalition augmentation.
Advisors/Committee Members: Julie A. Adams (chair), Gautam Biswas (chair), Mark Ellingham (committee member), Maithilee Kunda (committee member), Eugene Vorobeychik (committee member).
Subjects/Keywords: coalition formation; multi-agent planning; robotics; planning; multi-agent systems
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dukeman, A. L. (2017). Hybrid Mission Planning with Coalition Formation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03272017-142516/ ;
Chicago Manual of Style (16th Edition):
Dukeman, Anton Leo. “Hybrid Mission Planning with Coalition Formation.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-03272017-142516/ ;.
MLA Handbook (7th Edition):
Dukeman, Anton Leo. “Hybrid Mission Planning with Coalition Formation.” 2017. Web. 08 Dec 2019.
Vancouver:
Dukeman AL. Hybrid Mission Planning with Coalition Formation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-03272017-142516/ ;.
Council of Science Editors:
Dukeman AL. Hybrid Mission Planning with Coalition Formation. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://etd.library.vanderbilt.edu/available/etd-03272017-142516/ ;
Vanderbilt University
20.
Ghafouri, Amin.
Resilient Anomaly Detection in Cyber-Physical Systems.
Degree: PhD, Computer Science, 2018, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-02152018-170153/
;
► Cyber-physical systems (CPS), such as autonomous automobile systems and process control systems, are mechanisms that deeply intertwine physical and software components. A resilient CPS is…
(more)
▼ Cyber-physical systems (CPS), such as autonomous automobile systems and process control systems, are mechanisms that deeply intertwine physical and software components. A resilient CPS is one that maintains an accepted level of operational normalcy in response to system faults and threats of unexpected and malicious nature. The focus of this dissertation is on improving resilience of CPS through design and evaluation of resilient anomaly detectors, which guarantee satisfactory performance even in the presence of worst-case faults and attacks. The contributions of the thesis address challenges in the design of resilient anomaly detectors by taking into consideration features of the physical system and the control and monitoring algorithms.
Detection thresholds of resilient anomaly detectors need to be configured properly to ensure detection performance while minimizing false alarms. Using a game-theoretic approach, our work formulates the problem of computing optimal detection thresholds which minimize both the number of false alarms and the probability of missing attacks. An efficient algorithm based on dynamic programming for solving the game and finding optimal detection thresholds is developed and analyzed. The approach is evaluated using a case study of contamination attacks in water networks.
To increase resilience against detection errors, a framework for application-aware anomaly detection is presented. The main objective is to configure an anomaly detector so that the performance loss of the application in the presence of detection errors is minimized. An efficient algorithm for finding the application-aware detector is proposed and analyzed. The results are evaluated using a case study of real-time control of traffic signals.
To improve resilience against malicious attackers, the problem of adversarial regression in CPS is investigated, where an adversary capable of perturbing the values of sensors attempts to drive a CPS to an unsafe state while remaining undetected. The problem is solved considering linear regression- and neural network regression-based detectors. Then, a resilient detector is presented that mitigates the impact of stealthy attacks through configuration of thresholds. The proposed approach is numerically evaluated using a case study of a process control system.
Advisors/Committee Members: Yevgeniy Vorobeychik (committee member), Gautam Biswas (committee member), Abhishek Dubey (committee member), Gabor Karsai (committee member), Xenofon Koutsoukos (chair).
Subjects/Keywords: anomaly detection; cyber-physical systems; resilient systems; game theory; regression-based detectors; machine learning
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ghafouri, A. (2018). Resilient Anomaly Detection in Cyber-Physical Systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-02152018-170153/ ;
Chicago Manual of Style (16th Edition):
Ghafouri, Amin. “Resilient Anomaly Detection in Cyber-Physical Systems.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-02152018-170153/ ;.
MLA Handbook (7th Edition):
Ghafouri, Amin. “Resilient Anomaly Detection in Cyber-Physical Systems.” 2018. Web. 08 Dec 2019.
Vancouver:
Ghafouri A. Resilient Anomaly Detection in Cyber-Physical Systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-02152018-170153/ ;.
Council of Science Editors:
Ghafouri A. Resilient Anomaly Detection in Cyber-Physical Systems. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-02152018-170153/ ;
Vanderbilt University
21.
Broll, Brian Daniel.
Collaborative Educational Environment Design for Accessible Distributed Computing.
Degree: PhD, Computer Science, 2018, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-03282018-090401/
;
► The pervasiveness of distributed applications in everyday life has made distributed computing concepts become part of basic computer literacy. The dissertation presents the design of…
(more)
▼ The pervasiveness of distributed applications in everyday life has made distributed computing concepts become part of basic computer literacy. The dissertation presents the design of an educational environment for introducing distributed programming to secondary education. Three high-level abstractions are presented that enable young learners to build non-trivial distributed applications without obscuring the underlying distributed computing concepts. To expand the scope beyond web browser-based execution, capabilities for remote execution in alternative environments such as robotics platforms are also presented. Furthermore, collaborative editing can promote learning and productivity by allowing students to work in small teams but is unavailable in existing lively, blocks-based programming environments. A model of collaborative editing supporting visual programming environments is discussed. Version control support is beneficial for managing the complexity of applications but are often complex and difficult to use. A novel accessible version control for use in settings with minimal direct instruction is presented. Finally, empirical support is provided through three case studies using an implementation of the proposed educational environment design called NetsBlox.
Advisors/Committee Members: Aniruddha Gokhale (committee member), Jules White (committee member), Corey Brady (committee member), Gautam Biswas (committee member), Akos Ledeczi (chair).
Subjects/Keywords: visual programming; computer science education; distributed programming
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Broll, B. D. (2018). Collaborative Educational Environment Design for Accessible Distributed Computing. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03282018-090401/ ;
Chicago Manual of Style (16th Edition):
Broll, Brian Daniel. “Collaborative Educational Environment Design for Accessible Distributed Computing.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-03282018-090401/ ;.
MLA Handbook (7th Edition):
Broll, Brian Daniel. “Collaborative Educational Environment Design for Accessible Distributed Computing.” 2018. Web. 08 Dec 2019.
Vancouver:
Broll BD. Collaborative Educational Environment Design for Accessible Distributed Computing. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-03282018-090401/ ;.
Council of Science Editors:
Broll BD. Collaborative Educational Environment Design for Accessible Distributed Computing. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-03282018-090401/ ;
Vanderbilt University
22.
Mukhopadhyay, Ayan.
Robust Incident Prediction, Resource Allocation and Dynamic Dispatch.
Degree: PhD, Computer Science, 2019, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-07162019-191030/
;
► A constant threat that plagues urban areas today are incidents like crimes, fires and traffic accidents. These concerns are further escalated by a rather alarming…
(more)
▼ A constant threat that plagues urban areas today are incidents like crimes, fires and traffic accidents. These concerns are further escalated by a rather alarming rise in population density, making these incidents one of the major concerns for governments across the globe. Typically, such incidents are characterized by loss of life, damage to properties and injuries, and are collectively called âemergenciesâ since they threaten public safety, health, and welfare. This makes it imperative that we create principled methods to tackle such incidents.
The domain of emergency response has many sub-problems that each present their own technical challenges. We decomposed the overall problem into three crucial atomic sub-problems - forecasting, resource allocation and dispatch. Through the course of this thesis, we study each of the sub-problems independently, and also look at how they can work together to form a pipeline for emergency response.
We start by looking at spatial-temporal incident forecasting approaches that can model incident occurrence in continuous-time. While this problem has been looked at extensively in the literature, there is a lack of principled data-driven and scalable approaches that can accommodate arbitrary risk covariates. We bridge this gap systematically by using Survival Modeling and Multinomial Logistic Regression to learn distributions over incident arrival and severity. We also describe a novel way in which the spatial granularity of such forecasting algorithms can directly be learned from data. A potential issue in forecasting incidents like crimes is that criminals can gain knowledge about policing strategies and alter their behavior. In order to tackle this, we design models of incident prediction that are robust to manipulation in criminal behavior. We describe how such models can capture manipulations made by criminals and present novel algorithmic approaches to solve the formulation.
Armed with a model for forecasting incidents, we look at the problem of resource allocation. We present a two-stage optimization problem to allocate police in response to crimes, and describe an iterative algorithmic approach based on Bender's decomposition to solve the problem. To allocate responders to time-critical emergencies, we describe a formulation that maximizes the coverage area of first responders with restrictions on waiting times for accidents. We describe how such formulations are non-trivial to solve and craft specifically designed heuristics that exploit the structure of the problem.
Finally, to tackle the problem of dispatching responders as incidents occur, we look at how such problems manifest themselves in semi-Markovian environments, and design algorithmic approaches to solve such problems. In order to balance efficacy of an emergency response pipeline with computational time needed to make decisions, we also describe an online approach for solving the dispatch problem.
An important yardstick of judging our work is to evaluate its impact in the field. To this effect, we created a…
Advisors/Committee Members: Maithilee Kunda (committee member), Paul Speer (committee member), Abhishek Dubey (committee member), Gautam Biswas (committee member), Yevgeniy Vorobeychik (chair).
Subjects/Keywords:
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mukhopadhyay, A. (2019). Robust Incident Prediction, Resource Allocation and Dynamic Dispatch. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07162019-191030/ ;
Chicago Manual of Style (16th Edition):
Mukhopadhyay, Ayan. “Robust Incident Prediction, Resource Allocation and Dynamic Dispatch.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-07162019-191030/ ;.
MLA Handbook (7th Edition):
Mukhopadhyay, Ayan. “Robust Incident Prediction, Resource Allocation and Dynamic Dispatch.” 2019. Web. 08 Dec 2019.
Vancouver:
Mukhopadhyay A. Robust Incident Prediction, Resource Allocation and Dynamic Dispatch. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-07162019-191030/ ;.
Council of Science Editors:
Mukhopadhyay A. Robust Incident Prediction, Resource Allocation and Dynamic Dispatch. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-07162019-191030/ ;
Vanderbilt University
23.
Kinnebrew, John S.
Global Sensor Web Coordination and Control Using Multi-agent Systems.
Degree: PhD, Computer Science, 2010, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-03312010-151621/
;
► The construction of a collaborative sensor web that integrates sensor networks around the globe promises unprecedented advantages for today's scientists in studying and predicting weather,…
(more)
▼ The construction of a collaborative sensor web that integrates sensor networks around the globe promises unprecedented advantages for today's scientists in studying and predicting weather, natural disasters, and climate change. A particularly challenging problem in the design of a global sensor web is coordination and control of these heterogeneous and distributed resources for adaptive collaboration in achieving complex science tasks. To address this problem, this dissertation presents the design and integration of novel coordination and adaptation mechanisms in a multi-agent system. This system, the Multi-agent Architecture for Coordinated Responsive Observations (MACRO), provides a powerful framework for the coordination, control, and adaptive operation of a global sensor web.
We present three major contributions to research in the fields of multi-agent systems and autonomous planning and scheduling. First, we provide a novel multi-agent coordination mechanism based on brokered task auctions with efficient subcontracting. We present the results of experiments verifying the scalability and performance of this mechanism in yielding fair and efficient allocations of complex, hierarchically-decomposable, sensor web tasks. Further, these results suggest the incorporation of an appropriate decommitment mechanism to improve task allocation performance for long-running sensor web tasks.
Next, we present the Spreading Activation Partial Order Planner (SA-POP), which is a novel decision-theoretic planning and scheduling service for local sensor network agents operating on shared computational resources. Experiments verify the ability of this service to produce high expected utility plans even under resource and scheduling constraints. Finally, we present the integration of task allocation and planning/scheduling mechanisms through agent design and organization, definition of standardized task meta-data, and agent coordination protocols. We verify the system integration through additional experiments and a case study. Experimental results illustrate the efficiency of context-sensitive planning/scheduling coordination. Further, the case study illustrates the ability of an integrated MACRO system to provide effective coordination, control, and dynamic adaptation in a global sensor web.
Advisors/Committee Members: Prof Gautam Biswas (chair), Prof Julie A. Adams (committee member), Prof Lawrence W. Dowdy (committee member), Prof Douglas C. Schmidt (committee member), Prof Quan Wen (committee member).
Subjects/Keywords: task allocation; autonomous planning and scheduling; multi-agent systems; agent negotiation; sensor webs
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kinnebrew, J. S. (2010). Global Sensor Web Coordination and Control Using Multi-agent Systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03312010-151621/ ;
Chicago Manual of Style (16th Edition):
Kinnebrew, John S. “Global Sensor Web Coordination and Control Using Multi-agent Systems.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-03312010-151621/ ;.
MLA Handbook (7th Edition):
Kinnebrew, John S. “Global Sensor Web Coordination and Control Using Multi-agent Systems.” 2010. Web. 08 Dec 2019.
Vancouver:
Kinnebrew JS. Global Sensor Web Coordination and Control Using Multi-agent Systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-03312010-151621/ ;.
Council of Science Editors:
Kinnebrew JS. Global Sensor Web Coordination and Control Using Multi-agent Systems. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu/available/etd-03312010-151621/ ;
Vanderbilt University
24.
Freedman, Sanford Tory.
Human-Inspired Forgetting for Robotic Systems.
Degree: PhD, Computer Science, 2010, Vanderbilt University
URL: http://etd.library.vanderbilt.edu//available/etd-12022010-151854/
;
► – PLEASE NOTE THAT THE ATTACHED .7z FILE CONTAINING VIDEOS WILL NEED TO BE EXTRACTED AND BURNED TO A DVD IN ORDER TO BE VIEWED. –…
(more)
▼ – PLEASE NOTE THAT THE ATTACHED .7z FILE CONTAINING VIDEOS WILL NEED TO BE EXTRACTED AND BURNED TO A DVD IN ORDER TO BE VIEWED. –
Perfect memory and recall provides a mixed blessing. While flawless recollection of episodic data and procedural rules allows for increased reasoning, photographic memory hinders a robot's ability to operate in real-time, highly dynamic environments. The absence of forgetting can result in memory being filled by a tremendous volume of data, increasing both search time and the probability of over-learning. Many small, but critical details within the environment greatly impact the probability of successful task completion, unfortunately robots are currently ill-equipped to navigate incoming data to detect, recognize, and act upon these details. As robotic hardware and designs improve, robots will be further inundated as finer resolution environmental data and higher accuracy mental models become available. Contemporary robots are already overrun with vast volumes of data requiring real-time processing and the problem will only increase. Before robots realize human-level intelligence, a means of classifying the importance of each acquired datum and forgetting unnecessary, erroneous, and expired data will be required.
This dissertation has developed Human-Inspired Forgetting, a means of incorporating forgetting capabilities into current and future robotic systems. This approach may enable robots to remove unnecessary, erroneous, and out-of-date information while increasing the ability to reliably and rapidly recall critical cues necessary critical for successful task completion. Instead of selecting an item from memory to complete a task, Human-Inspired Forgetting filters the information presented to existing robotic algorithms. The pruned data may allow a diverse array of powerful, but task specific algorithms to realize improved accuracy while reducing cognitive load.
The novel ActSimple forgetting algorithm has been developed as an implementation of Human-Inspired Forgetting. This forgetting algorithm has been heavily inspired by a number of cognitive architectures along with models of human memory and incorporates trace-based decay, encoding interference, belief state values, mental exertion, and output interference. Simulation and real world experiments were conducted to demonstrate the performance and reliability of Human-Inspired Forgetting and the ActSimple algorithm across a range of testing conditions.
Advisors/Committee Members: Dr. Julie A. Adams (chair), Dr. Gautam Biswas (committee member), Dr. Douglas H. Fisher (committee member), Dr. Gordon D. Logan (committee member), D. Mitchell Wilkes (committee member).
Subjects/Keywords: Human-Inspired Forgetting; Mobile Robot
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Freedman, S. T. (2010). Human-Inspired Forgetting for Robotic Systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-12022010-151854/ ;
Chicago Manual of Style (16th Edition):
Freedman, Sanford Tory. “Human-Inspired Forgetting for Robotic Systems.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu//available/etd-12022010-151854/ ;.
MLA Handbook (7th Edition):
Freedman, Sanford Tory. “Human-Inspired Forgetting for Robotic Systems.” 2010. Web. 08 Dec 2019.
Vancouver:
Freedman ST. Human-Inspired Forgetting for Robotic Systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu//available/etd-12022010-151854/ ;.
Council of Science Editors:
Freedman ST. Human-Inspired Forgetting for Robotic Systems. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu//available/etd-12022010-151854/ ;
Vanderbilt University
25.
Caglar, Faruk.
Dynamic Resource Management in Resource-overbooked Cloud Data Centers.
Degree: PhD, Computer Science, 2015, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-07212015-144644/
;
► The rapid growth of social media, mobile data traffic, and sensors that surround us are giving rise to very large volumes of data, which must…
(more)
▼ The rapid growth of social media, mobile data traffic, and
sensors that surround us are giving rise to very large volumes of
data, which must then be processed in a timely and scalable manner to
make informed decisions. The elastic properties of the cloud makes
it suitable to address these data processing challenges. Despite this
promise, however, numerous challenges remain unresolved, which pertain
to operating a cloud data center in a way that lends itself to energy
conservation, and provides effective resource management which
improves resource utilization while satisfying application performance
requirements, and security. This doctoral research makes the
following four contributions to address a subset of these challenges.
First, it presents a dynamic and adaptive algorithm to reconfigure the
parameters of the hypervisor scheduler that effectively schedules the
virtual machines (VMs) on a host in response to anticipated workload
changes. Second, it provides a model-predictive algorithm that
balances the need to utilize resources effectively by promoting
maximal overbooking while still honoring the soft real-time
requirements of applications. Third, it provides novel solutions for
VM placement that accounts for VM performance interference. Fourth,
it presents an effective runtime virtual machine placement technique
that identifies an aptly suited host machine to host a VM that is to
be migrated by considering both power and performance. The doctoral
research has utilized real-world traces of cloud data centers to
develop and validate the solutions.
The long lasting impact of this dissertation stems from that fact that
each solution provides a systematic and scientific approach that a
cloud service provider can implement in their data centers to address
energy consumption and resource utilization challenges.
Advisors/Committee Members: Dr. Christopher J. White (committee member), Dr. Aniruddha S. Gokhale (chair), Dr. Douglas Schmidt (committee member), Dr. Gautam Biswas (committee member), Dr. Akos Ledeczi (committee member).
Subjects/Keywords: scheduler optimization; virtual machine placement; artificial intelligience; data center; cloud computing; resource management
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Caglar, F. (2015). Dynamic Resource Management in Resource-overbooked Cloud Data Centers. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07212015-144644/ ;
Chicago Manual of Style (16th Edition):
Caglar, Faruk. “Dynamic Resource Management in Resource-overbooked Cloud Data Centers.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-07212015-144644/ ;.
MLA Handbook (7th Edition):
Caglar, Faruk. “Dynamic Resource Management in Resource-overbooked Cloud Data Centers.” 2015. Web. 08 Dec 2019.
Vancouver:
Caglar F. Dynamic Resource Management in Resource-overbooked Cloud Data Centers. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-07212015-144644/ ;.
Council of Science Editors:
Caglar F. Dynamic Resource Management in Resource-overbooked Cloud Data Centers. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://etd.library.vanderbilt.edu/available/etd-07212015-144644/ ;
Vanderbilt University
26.
Abdelaziz, Hamzah Ahmed.
A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.
Degree: PhD, Electrical Engineering, 2018, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/
;
► The growing advances in information technologies have led to a new generation of systems known as cyber-physical systems (CPS). CPS are multi-discipline engineering systems, which…
(more)
▼ The growing advances in information technologies have led to a new generation of systems known as cyber-physical systems (CPS). CPS are multi-discipline engineering systems, which integrate computational and physical processes such as smart buildings, and self-driving urban vehicles. Great opportunities and research challenges arise to enable the development of new CPS technologies that can incorporate complex computational algorithms such as learning with complex physical systems. Moreover, the developments in sensor technologies enable the utilization of data to build robust models of complex physical systems. These robust models are needed to achieve intelligent CPS and to automate their design and control processes. Data availability can potentially support the use of machine learning techniques to develop nonparametric robust models, which can be used for prediction, analysis, and control of CPS.
This dissertation presents a data-driven approach to learn, analyze and control many modern CPS based on nonparametric stochastic hybrid systems (SHS). SHS are multi-modal models which represent systems with coupled continuous and discrete dynamics. This dissertation presents an online clustering-based model learning approach, which leverages sensor measurements to learn nonparametric SHS based on Gaussian processes and periodic Markov chains. Essentially, Gaussian processes represent the continuous dynamics of the SHS and periodic Markov chains represent the discrete dynamics of the SHS. The learning approach uses a clustering algorithm such as K-means to identify the latent discrete states of the system, and it runs efficiently in an online fashion so that the system model is updated as new sensor measurements become available. In addition, this dissertation presents a reachability analysis algorithm for a finite-horizon. The reachability analysis algorithm estimates the distribution of the reachable states using mixtures of Gaussian processes and it provides an efficient multi-step prediction for nonparametric SHS. Further, this dissertation presents a scenario-based model predictive control (MPC) to provide an optimal control algorithm for stochastic systems represented by nonparametric SHS. The control algorithm estimates analytically the gradients of the SHS model and the cost function to enhance the accuracy and the efficiency of its optimization routines. Our work considers an in-depth case study of smart buildings and high-fidelity simulation to evaluate and to demonstrate the developed approach.
Advisors/Committee Members: Xenofon D. Koutsoukos (chair), Gautam Biswas (committee member), Aniruddha S. Gokhale (committee member), Richard A. Peters (committee member), D. Mitchell Wilkes (committee member).
Subjects/Keywords: Gaussian Processes; Stochastic Hybrid Systems; Reachability Analysis; Cyber Physical Systems; Model Predictive Control; Model Learning
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Abdelaziz, H. A. (2018). A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;
Chicago Manual of Style (16th Edition):
Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;.
MLA Handbook (7th Edition):
Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Web. 08 Dec 2019.
Vancouver:
Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;.
Council of Science Editors:
Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-01112018-132607/ ;
Vanderbilt University
27.
Lattmann, Zsolt.
An Analysis-Driven Rapid Design Process for Cyber-Physical Systems.
Degree: PhD, Electrical Engineering, 2016, Vanderbilt University
URL: http://etd.library.vanderbilt.edu//available/etd-04292016-141027/
;
► Product design has become more complex in recent decades. Several design methods and processes have been developed to reduce the design complexity to a manageable…
(more)
▼ Product design has become more complex in recent decades. Several design methods and processes have been developed to reduce the design complexity to a manageable level. Model-based systems engineering leverages these methods (e.g., v-model, virtual integration) to manage design complexity and to reduce development time and costs for software and hardware development. Most of these design methods and processes were primarily developed for either software or hardware development. In Cyber-Physical Systems, computational elements (hardware and software) are tightly integrated with physical processes and physical components and often interact with the physical system.
There are hundreds of distinct tools used to design and analyze different aspects of a complex system design, which shows that there is no single tool that can deal with all aspects of a complex design problem. An adequate model of Cyber-Physical Systems must: (1) capture domain interactions (e.g., electrical power and mechanical systems), (2) incorporate multiple aspects and domain models for each component, (3) support a wide variety of analysis techniques, (4) able to reuse existing models from libraries, and (5) extract sufficient information from model libraries to support architecture exploration for product families.
We present the key concepts and functions of an Analysis-Driven Rapid Design Process for Cyber-Physical Systems to address all aforementioned challenges. We define and contribute to three platforms to improve efficiency and quality of the design process: a Model Integration Platform, Tool Integration Platform, and Execution Integration Platform. The Model Integration Platform (a) uses heterogeneous component models, (b) keeps the multi-domain models consistent, (c) tracks model dependencies, and (d) facilitates importing from existing model libraries. The Tool Integration Platform accommodates a variety of analysis tools with the flexibility to add new tools in the future. The Execution Integration Platform provides an analysis tool independent framework for analysis execution and organization of analysis results. Finally, we propose a design flow to achieve an analysis-driven rapid iterative design process; we demonstrate and evaluate this design flow utilizing two case studies: (a) an oscillator circuit design and (b) a ground vehicle driveline design.
Advisors/Committee Members: Janos Sztipanovits (committee member), Sandeep Neema (committee member), Xenofon Koutsoukos (committee member), Gautam Biswas (committee member), Theodore Bapty (committee member), Gabor Karsai (chair).
Subjects/Keywords: model-based engineering; cyber-physical systems; rapid design process
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lattmann, Z. (2016). An Analysis-Driven Rapid Design Process for Cyber-Physical Systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-04292016-141027/ ;
Chicago Manual of Style (16th Edition):
Lattmann, Zsolt. “An Analysis-Driven Rapid Design Process for Cyber-Physical Systems.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu//available/etd-04292016-141027/ ;.
MLA Handbook (7th Edition):
Lattmann, Zsolt. “An Analysis-Driven Rapid Design Process for Cyber-Physical Systems.” 2016. Web. 08 Dec 2019.
Vancouver:
Lattmann Z. An Analysis-Driven Rapid Design Process for Cyber-Physical Systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu//available/etd-04292016-141027/ ;.
Council of Science Editors:
Lattmann Z. An Analysis-Driven Rapid Design Process for Cyber-Physical Systems. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu//available/etd-04292016-141027/ ;
Vanderbilt University
28.
Shekhar, Shashank.
Algorithms and Techniques for Dynamic Resource Management across Cloud-Edge Resource Spectrum.
Degree: PhD, Computer Science, 2018, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-06112018-163601/
;
► An increasing number of Internet of Things (IoT) and other latency-sensitive applications are cloud-hosted. However, limitations in performance assurances from the cloud, and the longer…
(more)
▼ An increasing number of Internet of Things (IoT) and other
latency-sensitive applications are cloud-hosted. However, limitations
in performance assurances from the cloud, and the longer and often
unpredictable end-to-end network latencies between the end user and
the cloud can be detrimental to the response time requirements of the
applications, specifically those that have stringent Quality of
Service (QoS) requirements. Although fog/edge resources, such as
cloudlets, may alleviate some of the latency concerns, there is a
general lack of mechanisms that can dynamically manage resources
across the cloud-edge spectrum. The problem becomes even more
challenging when performance interference on multi-tenant fog servers
along with workload variations, and user mobility are considered. To
address these concerns, this dissertation presents the design and
implementation of the Dynamic Data Driven Cloud and Edge Systems
(D3CES) framework. It defines approaches to utilize the performance
metrics collected from adaptively instrumenting the cloud and edge
resources to learn and enhance performance interference-aware models
of the distributed resource pool. In turn, the framework optimizes
resource provision in a way that satisfies service level objectives
(SLOs) while minimizing cost to the service providers. This
dissertation evaluates the approach on a variety of real world
scenarios.
Advisors/Committee Members: Gautam Biswas (committee member), Douglas C. Schmidt (committee member), Aniruddha S. Gokhale (chair), Janos Sztipanovits (committee member), Xenofon Koutsoukos (committee member).
Subjects/Keywords: Cloud computing; Optimization; Performance interference; Resource management; Edge computing; Fog computing
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Shekhar, S. (2018). Algorithms and Techniques for Dynamic Resource Management across Cloud-Edge Resource Spectrum. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-06112018-163601/ ;
Chicago Manual of Style (16th Edition):
Shekhar, Shashank. “Algorithms and Techniques for Dynamic Resource Management across Cloud-Edge Resource Spectrum.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-06112018-163601/ ;.
MLA Handbook (7th Edition):
Shekhar, Shashank. “Algorithms and Techniques for Dynamic Resource Management across Cloud-Edge Resource Spectrum.” 2018. Web. 08 Dec 2019.
Vancouver:
Shekhar S. Algorithms and Techniques for Dynamic Resource Management across Cloud-Edge Resource Spectrum. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-06112018-163601/ ;.
Council of Science Editors:
Shekhar S. Algorithms and Techniques for Dynamic Resource Management across Cloud-Edge Resource Spectrum. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-06112018-163601/ ;
Vanderbilt University
29.
Hasan, Saqib.
Improving Resilience in Large Scale Cyber-Physical Networks.
Degree: PhD, Electrical Engineering, 2019, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-02182019-134525/
;
► Resilience in cyber-physical systems such as electrical power systems is of paramount importance for the socio-economic welfare of the society. Based on North American Electric…
(more)
▼ Resilience in cyber-physical systems such as electrical power systems is of paramount importance for the socio-economic welfare of the society. Based on North American Electric Reliability Council (NERC), power systems are designed to be single fault tolerant systems. However, multiple failures do occur and result in cascading failures that cause severe system blackouts. These failures can result from both physical faults and cyber-effects that can be easily triggered via cyber-attacks which have become more prevalent and feasible. Due to the large number of autonomous components, smart grids are becoming more vulnerable to such failures that increases system complexity and makes resilience a complex problem.
Several analysis models have been developed to analyze these failures however; they have their own limitations. These models focus mostly on time-independent physical failures and analyze the system from only one aspect which greatly limits the analysis. In addition, considering the large scale of the power system networks, several multiple contingencies do occur as a result of both physical failures and cyber-attacks which can be static or dynamic in nature that causes severe system damage. However, due to the computational complexity, it is very difficult to identify the critical components using an exhaustive analysis. Moreover, we also face the challenge of effectively deploying the limited defense resources to protect the critical points in the network under financial budget constraints.
Therefore, in this work we present heuristical and game-theoretical based approaches to address the above-mentioned challenges. As a first step in the process, we have developed models and tools that can include cyber failures in addition to physical failures and provide the capability to initiate faults at different time instants. Next, we designed a framework to perform multi-platform analysis using Domain-Specific Modeling Language (DSML) based approach that integrate various exogenous tools together to perform a richer analysis. Further, we created mechanisms to optimally identify higher order critical contingencies using heuristical approaches. Finally, we developed game-theoretic based approaches towards identifying the effective deployment of the limited defense resources in order to improve the overall system resilience.
Advisors/Committee Members: Abhishek Dubey (committee member), Gautam Biswas (committee member), D. Mitchell Wilkes (committee member), Richard Alan Peters (committee member), Gabor Karsai (chair).
Subjects/Keywords: Heuristical and Statistical Approaches; Optimization; Cyber-Physical Systems Security; Intelligent Resource Allocation; Cyber-Attacks; Cyber-Physical Systems
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Hasan, S. (2019). Improving Resilience in Large Scale Cyber-Physical Networks. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;
Chicago Manual of Style (16th Edition):
Hasan, Saqib. “Improving Resilience in Large Scale Cyber-Physical Networks.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;.
MLA Handbook (7th Edition):
Hasan, Saqib. “Improving Resilience in Large Scale Cyber-Physical Networks.” 2019. Web. 08 Dec 2019.
Vancouver:
Hasan S. Improving Resilience in Large Scale Cyber-Physical Networks. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;.
Council of Science Editors:
Hasan S. Improving Resilience in Large Scale Cyber-Physical Networks. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-02182019-134525/ ;
Vanderbilt University
30.
Brady, Katherine Anne.
TESS: A tool for optically measuring digital reading interactions from screen recordings.
Degree: PhD, Computer Science, 2019, Vanderbilt University
URL: http://etd.library.vanderbilt.edu/available/etd-02122019-144000/
;
► Educational reading materials are increasingly available to students in digital environments. The use of digital education materials is likely to increase as economic trends continue…
(more)
▼ Educational reading materials are increasingly available to students in digital environments. The use of digital education materials is likely to increase as economic trends continue to drive down the price of electronic books and the devices needed to access them. However, little is known of how electronic texts should be designed to increase learner comprehension, engagement and enjoyment. Expanding our understanding of design principles for digital reading environments will require extensive study of these environments. Currently, studies of digital reading are hampered by the available tools for monitoring user engagement. This dissertation presents TESS (Text- position Evaluation from a Screen-recorded Session), a tool that tracks and codes user actions in reading environments using screen recordings. TESS improves on previous tools by focusing on behaviors that are of interest to the reading research community, working with all stimuli, and scaling for studies with hundreds of participants. This dissertation describes how TESS works, tests to evaluate each part of the pipeline and their results, and experiments on reading practices among middle schoolers that used TESS.
Advisors/Committee Members: Gayathri Narasimham (committee member), Vikash Singh (committee member), Maithilee Kunda (committee member), Amanda Goodwin (committee member), Gautam Biswas (committee member), Douglas Fisher (chair).
Subjects/Keywords: highlight detection; reading research; optical character recognition
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Brady, K. A. (2019). TESS: A tool for optically measuring digital reading interactions from screen recordings. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-02122019-144000/ ;
Chicago Manual of Style (16th Edition):
Brady, Katherine Anne. “TESS: A tool for optically measuring digital reading interactions from screen recordings.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed December 08, 2019.
http://etd.library.vanderbilt.edu/available/etd-02122019-144000/ ;.
MLA Handbook (7th Edition):
Brady, Katherine Anne. “TESS: A tool for optically measuring digital reading interactions from screen recordings.” 2019. Web. 08 Dec 2019.
Vancouver:
Brady KA. TESS: A tool for optically measuring digital reading interactions from screen recordings. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2019 Dec 08].
Available from: http://etd.library.vanderbilt.edu/available/etd-02122019-144000/ ;.
Council of Science Editors:
Brady KA. TESS: A tool for optically measuring digital reading interactions from screen recordings. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-02122019-144000/ ;
◁ [1] [2] [3] ▶
. 
Open Access Theses and Dissertations