Computer Sciences Commons^™

A Social Network Of Service Providers For Trust And Identity Management In The Cloud, Makarand Bhonsle

Masters Theses

"With the advent of a new paradigm in computing known as Cloud Computing which offers computing as a service, the inflow of a variety of service vendors is increasing constantly. One of the main challenges in this distributed network of service provisioning and deprovisioning system is the end user's privacy. Enforcing authentication and authorization protocols customized to the needs of every service provider evolves to a very intricate Identity Management System with respect to both the collaborating service providers as well as the user. This problem was addressed by the Federated Identity Management systems, where the user information is stored …

Analyzing Dashboard Performance In Educational, Non-Profit Sectors, Rutuja B. Honnatti

Masters Theses

"Applications of the performance dashboard in the business sector are well documented, but very little research has been performed on its implementation in higher education. The changing economic scenario has exerted pressure on universities to perform to a new standard and achieve their missions and goals. The objective of this research is to investigate if performance management dashboards can be applied to overcome challenges faced by institutions of higher education, such as lack of access to information, stakeholders not taking advantage of what is being offered, students' anxiety about not being able to find a job and strategic planning. A …

A Low-Cost Motion Tracking System For Virtual Reality Applications, Abhinav Chadda

Masters Theses

"This thesis provides an insight into the design and development of a highly effective, low-cost motion tracking system comprised of off-the-shelf (OTS) hardware for virtual reality applications. Present-day motion tracking systems usually have a high cost associated with them. A capable yet affordable OTS motion tracking system is a key enabler to make motion controlled virtual reality an accessible and ubiquitous technology.

The motion tracking system developed in this study is used in conjunction with virtual reality software towards simple and natural human-computer interface solutions. It is developed with the budget of $1,000 per system. The cost includes 2 cameras …

Green Banking, Amy Kalloch, Bonnie Bachman

Business and Information Technology Faculty Research & Creative Works

Executive Summary Green banking is generally defined as promoting environmentally friendly practices that aid customers in reducing their carbon footprint through their banking operation activities. These practices include such things as online banking, statements, bill payments, and account opening. Banks also invest in internal initiatives to reduce their own carbon footprint. The majority of programs consist of energy efficiency, recycling, ride sharing, and environmentally friendly lending. Banks that support the local community and environment are seen as leaders in this movement. Many online banks and smaller community banks are seen as 'greener' than the large corporate financial institutions. One criticism …

Plastic Packaging: A Current Perspective On Sustainability, Shristy Bashyal, Bonnie Bachman, Margaret H. Baumann

Business and Information Technology Faculty Research & Creative Works

Packaging producers, machine manufacturers, and/or resin manufacturers are studied to conduct case study research to assess the issues they are facing with regard to “sustainability”. This industry viewpoint is conducted to generate information regarding environmental pressures facing these companies and the resulting strategies employed to be competitive and sustainable. To collect the necessary information about these selected companies and the overall industry point of view they represent, direct interview techniques are used.

Ceeme: Compensating Events Based Execution Monitoring Enforcement For Cyber-Physical Systems, Thoshitha T. Gamage

Doctoral Dissertations

"Fundamentally, inherently observable events in Cyber-Physical Systems with tight coupling between cyber and physical components can result in a confidentiality violation. By observing how the physical elements react to cyber commands, adversaries can identify critical links in the system and force the cyber control algorithm to make erroneous decisions. Thus, there is a propensity for a breach in confidentiality leading to further attacks on availability or integrity. Due to the highly integrated nature of Cyber-Physical Systems, it is also extremely difficult to map the system semantics into a security framework under existing security models. The far-reaching objective of this research …

On Optimizing Traffic Signal Phase Ordering In Road Networks, Jason Barnes, Vamsi Paruchuri, Sriram Chellappan

Computer Science Faculty Research & Creative Works

Traffic signals are an elementary component of all urban road networks and play a critical role in controlling the flow of vehicles. However, current road transportation systems and traffic signal implementations are very inefficient. the objective of this research is to evaluate optimal phase ordering within a signal cycle to minimize the average waiting delay and thus in turn minimizing fuel consumption and greenhouse gas (GHG) emissions. through extensive simulation analysis, we show that by choosing optimal phase ordering, the stopped delay can be reduced by 40% per car at each signal resulting in a saving of up to 100 …

A Tactical Information Management Middleware For Resource-Constrained Mobile P2p Networks, Bo Xu, Mark Linderman, Sanjay Madria, Ouri Wolfson

Computer Science Faculty Research & Creative Works

In this paper we provide an architecture for Tactical Information Middleware for bandwidth constrained information management. We propose the ideas of rank-Based data dissemination, and the use of a tactical information management query language. These ideas will deal with dynamic changes in bandwidth and explore opportunistic data dissemination. Thus, will lead to a cross-layer design of a system capable of handling the dynamic data management issues relevant in many missions' critical applications. © 2010 IEEE.

A Resource-Efficient Adaptive Caching Scheme For Mobile Ad-Hoc Networks, Dan Hirsch, Sanjay Madria

Computer Science Faculty Research & Creative Works

In a Mobile Ad-Hoc Network environment, wireless devices have finite resources such as memory, energy and they work within the wireless constraints such as limited bandwidth and unreliable communication. Therefore, storage space, bandwidth, and battery life must be managed effectively in order to extend the usefulness and lifespan of wireless devices and the network. Caching is one of those techniques which reduce the latency and tuning time for mobile devices in the wireless network. We propose a novel scheme that seeks to distribute the storage, bandwidth and energy burden through a resource-efficient adaptive caching scheme for mobile ad-hoc networks. Our …

Preservd - Privacy Ensured Service Discovery In Mobile Peer-To-Peer Networks, Santhosh Muthyapu, Sanjay Kumar Madria, Mark Linderman

Computer Science Faculty Research & Creative Works

In mobile peer-to-peer networks, proposed service discovery protocols disregard the exposure of the participating peers' privacy details (privileged information). in these methods, the participating peers must provide their identities during the service discovery process to be authorized to utilize services. However, a peer may not be willing to reveal its privileged information until it identifies the service providing peer. So, these peers face a problem; should the service requesting or the service providing peer reveal the identity first. the protocol presented in [12] solves this problem to some extent and discover the services available in the service requester's vicinity in …

Adaptive Routing Scheme For Emerging Wireless Ad Hoc Networks, Behdis Eslamnour, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Node mobility causes fading wireless channels, which in turn renders topology changes in emerging wireless ad hoc networks. in this paper, on-line estimators and Markov models are utilized to estimate fading channel conditions. using the estimated channel conditions as well as queue occupancy, available energy and link delay, approximate dynamic programming (ADP) techniques are utilized to find dynamic routes, while solving discrete-time Hamilton-Jacobi-Bellman (HJB) equation forward-in-time for route cost in multichannel multi-interface networks. the performance of the proposed load balancing method in the presence of fading channels and the performance of the optimal route selection approach for multichannel multi-interface wireless …

Home Automation Proposal, Paul Parham, Nathan James, Bonnie Bachman

Business and Information Technology Faculty Research & Creative Works

1.1 Objectives The objective for Phase 2 of the Motorola project is to propose a comprehensive home automation system that can be launched in the next one to two years. Currently, there are many entertainment, security, and home control devices on the market but no device that ties these systems together for consumers. The goal is to develop a system that can be easily installed, cost efficient, and able to provide genuine home automation to consumers.

Distributed Grid Intelligence For Future Microgrid With Renewable Sources And Storage, Fanjun Meng, Ravi Akella, Mariesa L. Crow, Bruce Mcmillin

Electrical and Computer Engineering Faculty Research & Creative Works

The FREEDM microgrid is a smart grid solution with Distributed Grid Intelligence (DGI) to efficiently manage the power distribution and storage of renewable energy. within the FREEDM system, DGI applies distributed control method in a unique way to achieve feasible load balancing in microgrid by migrating power between renewable energy generation and storage at each node. This paper presents the key aspects in implementing such a scheme and outlines the preliminary results obtained by integrating the proposed methodology. the results demonstrate the potential benefits of adopting DGI control on a microgrid.

Representation And Validation Of Domain And Range Restrictions In A Relational Database-Driven Ontology Maintenance System, Patrick G. Edgett, Leong Lee, Jennifer L. Leopold, Alton B. Coalter

Computer Science Faculty Research & Creative Works

An ontology can be used to represent and organize the objects, properties, events, processes, and relations that embody an area of reality [1]. These knowledge bases may be created manually (by individuals or groups), and/or automatically using software tools, such as those developed for information retrieval and data mining. Recently the National Science Foundation funded a large collaborative development project for the semi-automated construction of an ontology of amphibian anatomy (AmphibAnat [2]). to satisfy the extensive community curation requirements of that project, a generic, Web-Based, multi-user, relational database ontology management system (RDBOM [3]) was constructed, based upon a novel theoretical …

Dihomotopic Deadlock Detection Via Progress Shell Decomposition, David A. Cape, Stephen C. Jackson, Bruce M. Mcmillin

Computer Science Faculty Research & Creative Works

The classical problem of deadlock detection for concurrent programs has traditionally been accomplished by symbolic methods or by search of a state transition system. This work examines an approach that uses geometric semantics involving the topological notion of dihomotopy to partition the state space into components, followed by search of a reduced state space. Prior work partitioned the state-space inductively. in this work, a decomposition technique motivated by recursion coupled with a search guided by the decomposition is shown to effectively reduce the size of state transition systems. the reduced state space yields asymptotic improvement in overall runtime for verification. …

A Test-Bed For Secure Hierarchical Data Aggregation In Wireless Sensor Networks, Vimal Kumar, Joshua Mccarville-Schueths, Sanjay Madria

Computer Science Faculty Research & Creative Works

Data aggregation is a technique used to conserve battery power in wireless sensor networks (WSN). When securing such a network, it is important that we minimize the number of computationally expensive security operations without compromising on the security. This paper deals with the test-bed implementation of our end-to-end secure data aggregation algorithm. Unlike previous algorithms which required separate phases for secure aggregation and integrity verification, ours does not require an additional phase for verification. This saves energy by avoiding additional transmissions and computation overhead on the sensor nodes. We have implemented our secure data aggregation algorithms on mica2 motes. ©2010 …

Decentralized State Feedback And Near Optimal Adaptive Neural Network Control Of Interconnected Nonlinear Discrete-Time Systems, Shahab Mehraeen, Jagannathan Sarangapani, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, first a novel decentralized state feedback stabilization controller is introduced for a class of nonlinear interconnected discrete-time systems in affine form with unknown subsystem dynamics, control gain matrix, and interconnection dynamics by employing neural networks (NNs). Subsequently, the optimal control problem of decentralized nonlinear discrete-time system is considered with unknown internal subsystem and interconnection dynamics while assuming that the control gain matrix is known. For the near optimal controller development, the direct neural dynamic programming technique is utilized to solve the Hamilton-Jacobi-Bellman (HJB) equation forward-in-time. The decentralized optimal controller design for each subsystem utilizes the critic-actor structure …

2-D Path Planning For Direct Laser Deposition Process, Swathi Routhu, Divya Kanakanala, Jianzhong Ruan, Xiaoqing Frank Liu, Frank Liou

Computer Science Faculty Research & Creative Works

The zigzag and offset path have been the two most popular path patterns for tool movement in machining process. Different from the traditional machining processes, the quality of parts produced by the metal deposition process is much more dependent upon the choice of deposition paths. Due to the nature of the metal deposition processes, various tool path patterns not only change the efficiency but also affect the deposition height, a critical quality for metal deposition process. This paper presents the research conducted on calculating zigzag pattern to improve efficiency by minimizing the idle path. the deposition height is highly dependent …

Web-Based Intelligent Computational Argumentation Based Conflict Resolution In Air Traffic Management, Xiaoqing Frank Liu, Ravi Santosh Arvapally, Hojong Baik, Rubal Wanchoo

Computer Science Faculty Research & Creative Works

Collaborative decision making (CDM) is a process of reaching consensus on a potential solution of an issue through the evaluation of the different possible alternatives. the web-Based intelligent computational argumentation system allows concerned stakeholders to post their arguments on different alternatives, assign weights and priorities to the arguments and reach the most favorable alternative using fuzzy intelligent techniques over the Internet. Exchange of information among the stakeholders improves the collaboration and drives towards the collective intelligence. in this paper, we show how our tool facilitates resolution of conflicts in air traffic management. It could enhance the Ground Delay Program (GDP) …

A Novel Real-Time Approach To Unified Power Flow Controller Validation, Keyou Wang, Mariesa Crow, Bruce M. Mcmillin, Stan Atcitty

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents the development of a real-time hardware/software laboratory to interface a soft real-time power system simulator with multiple unified power flow controllers (UPFC) via hardware-in-the-loop (HIL) to study their dynamic responses and validate control and placement approaches. This paper describes a unique laboratory facility that enables large-scale, soft real-time power system simulation coupled with the true physical behavior of a UPFC as opposed to the controller response captured by many other real-time simulators. The HIL line includes a synchronous machine, a UPFC, and a programmable load to reproduce the physical dynamics of the UPFC sub-network.

Preventing Information Leakage From Indexing In The Cloud, Anna Squicciarini, Smitha Sundareswaran, Dan Lin

Computer Science Faculty Research & Creative Works

Cloud computing enables highly scalable services to be easily consumed over the Internet on an as-needed basis. While cloud computing is expanding rapidly and used by many individuals and organizations internationally, data protection issues in the cloud have not been carefully addressed at current stage. Users' fear of confidential data (particularly financial and health data) leakage and loss of privacy in the cloud may become a significant barrier to the wide adoption of cloud services. in this paper, we explore a newly emerging problem of information leakage caused by indexing in the cloud. We design a three-tier data protection architecture …

Technical Target Setting In Qfd For Web Service Systems Using An Artificial Neural Network, Lianzhang Zhu, Xiaoqing Frank Liu

Computer Science Faculty Research & Creative Works

There are at least two challenges with quality management of service-oriented architecture based web service systems: 1) how to link its technical capabilities with customer's needs explicitly to satisfy customers' functional and nonfunctional requirements; and 2) how to determine targets of web service design attributes. Currently, the first issue is not addressed and the second one is dealt with subjectively. Quality Function Deployment (QFD), a quality management system, has found its success in improving quality of complex products although it has not been used for developing web service systems. In this paper, we analyze requirements for web services and their …

Distributed Power Balancing For The Freedm System, Rav Akella, Fanjun Meng, Derek Ditch, Bruce M. Mcmillin, Mariesa Crow

Computer Science Faculty Research & Creative Works

The FREEDM microgrid is a test bed for a smart grid integrated with Distributed Grid Intelligence (DGI) to efficiently manage the distribution and storage of renewable energy. Within the FREEDM system, DGI applies distributed algorithms in a unique way to achieve economically feasible utilization and storage of alternative energy sources in a distributed fashion. The FREEDM microgrid consists of residential or industrial nodes with each node running a portion of the DGI process called Intelligent Energy Management (IEM). Such IEM nodes within FREEDM coordinate among themselves to efficiently and economically manage their power generation, utility and storage. Among a variety …

Nonlinear Control Of Facts Controllers For Damping Interarea Oscillations In Power Systems, Mahyar Zarghami, Jagannathan Sarangapani, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces a new nonlinear control of flexible ac transmission systems (FACTS) controllers for the purpose of damping interarea oscillations in power systems. FACTS controllers consist of series, shunt, or a combination of series-shunt devices which are interfaced with the bulk power system through injection buses. Controlling the angle of these buses can effectively damp low frequency interarea oscillations in the system. The proposed control method is based on finding an equivalent reduced affine nonlinear system for the network from which the dominant machines are extracted based on dynamic coherency. It is shown that if properly selected, measurements obtained …

Performance Analysis Of Secure Hierarchical Data Aggregation In Wireless Sensor Networks, Vimal Kumar, Sanjay Madria

Computer Science Faculty Research & Creative Works

Data aggregation is a technique used to conserve battery power in wireless sensor networks (WSN). While providing security in such a scenario it is also important that we minimize the number of security operations as they are computationally expensive, without compromising on the security. in this paper we evaluate the performance of such an end-to-end security algorithm. We provide our results from the implementation of the algorithm on mica2 motes and conclude how it is better than traditional hop by hop security. © 2010 IEEE.

Defending Wireless Sensor Networks Against Adversarial Localization, Neelanjana Dutta, Abhinav Saxena, Sriram Chellappan

Computer Science Faculty Research & Creative Works

In this paper, we study the issue of defending against adversarial localization in wireless sensor networks. Adversarial localization refers to attacks where an adversary attempts to disclose physical locations of sensors in the network. the adversary accomplishes this by physically moving in the network while eavesdropping on communication messages exchanged by sensors and measuring raw physical properties of messages like Angle of Arrival, Signal Strength of the detected signal. in this paper, we aim to defend sensor networks against such kinds of adversarial localization. the core challenge comes from the sensors performing two conflicting objectives simultaneously: localize the adversary and …

Real-Time Data Compression In Wireless Sensor Networks, Tommy Szalapski, Sanjay Madria

Computer Science Faculty Research & Creative Works

Wireless sensor networks possess significant limitations in storage, bandwidth, and power. Additionally, real-time sensor networks cannot tolerate high latency. While some good compression algorithms exist specific to sensor networks, there remains a need for methods that do not introduce additional latency. This paper introduces a compression scheme which reduces storage, bandwidth, and power while also minimizing latency. Our Huffman style compression scheme exploits temporal locality and delta compression to provide better bandwidth utilization, thus reducing latency for real time applications. © 2010 IEEE.

Dynamic Social Grouping Based Routing In A Mobile Ad-Hoc Network, Roy Cabaniss, Sanjay Madria, George Rush, Abbey Trottay, Srinivasa S. Vulli

Computer Science Faculty Research & Creative Works

The patterns of movement used by Mobile Ad-Hoc networks are application specific, in the sense that networks use nodes which travel in different paths. When these nodes are used in experiments involving social patterns, such as wildlife tracking, algorithms which detect and use these patterns can be used to improve routing efficiency. the intent of this paper is to introduce a routing algorithm which forms a series of social groups which accurately indicate a node's regular contact patterns while dynamically shifting to represent changes to the social environment. With the social groups formed, a probabilistic routing schema is used to …

A Communication Efficient Framework For Finding Outliers In Wireless Sensor Networks, Dylan Mcdonald, Stewart Sanchez, Sanjay Kumar Madria, Fikret Ercal

Computer Science Faculty Research & Creative Works

Outlier detection is a well-studied problem in various fields. the unique challenges of wireless sensor networks make this problem especially challenging. Sensors can detect outliers for a plethora of reasons and these reasons need to be inferred in real time. Here, we present a new communication technique to find outliers in a wireless sensor network. Communication is minimized through controlling sensor when sensors are allowed to communicate. at the same time, minimal assumptions are made about the nature of the data set as to minimize the loss of generality in the architecture. © 2010 IEEE.

Efficient Simulation Architecture For Routing And Replication In Mobile Peer To Peer Network Of Uavs, Hemanth Meka, Sanjay Kumar Madria, Mohan Kumar, Mark Linderman, Sharma Chakravarthy

Computer Science Faculty Research & Creative Works

Most of the routing and replication algorithms assume the network to be large and therefore, the architecture and algorithms are designed to be scalable. These algorithms however may not perform well with limited number of nodes in a network of UAVs. It is better to design and simulate such algorithms to increase the efficiency in a small network as scalability is no longer an issue. for such networks, we present design and simulation of some effective routing and replication algorithms to route packets, disseminate information, and replicate data among nodes. © 2010 IEEE.