Computer Engineering Commons^™

Security Analysis Of A Cyber-Physical System, Han Tang

Masters Theses

"Cyber-Physical Systems (CPSs) are an integration of computing and physical processes. Information flow is an inherent property of CPSs and is of particular interest at their cyber-physical boundaries. This thesis focuses on discovering information flow properties and proposes a process to model the information flow in CPSs. A Cooperating FACTS Power System serves as a tangible example to illustrate modeling information flow using the proposed process. The proposed process can be used to model the information flow security, help analyze current information flow security requirements, and aid in the design of further security policies in CPS"--Abstract, page iii.

Terahertz Data Processing For Standoff Detection Of Improvised Explosive Devices, Amit Bipin Shah

Masters Theses

"Improvised Explosive Devices (IEDs) are homemade, non-conventional explosive devices, which are used to destruct and incapacitate individuals and property. IEDs are becoming a popular weapon of attack among terrorists and insurgents due to their easy of making and capability to cause major damage. Hence, is has become necessary to develop efficient systems for detecting and disarming these devices. The Terahertz technology which uses electromagnetic radiations between 0.3 THz to 10 THz for imaging is one of the most recently developed detection techniques and is ideally suitable for detection of IEDs and similar devices. Although a lot of work has been …

Reinforcement-Learning Based Output-Feedback Controller For Nonlinear Discrete-Time System With Application To Spark Ignition Engines Operating Lean And Egr, Peter Shih

Masters Theses

"A spark ignition (SI) engine can be described by non-strict feedback nonlinear discrete-time system with the output dependent upon on the states in a nonlinear manner. The controller developed in this thesis utilizes the inherent universal approximation property of neural networks (NN) to simplify the design process and solve the non-causality problem inherent with traditional designs. It also exploits a long-term performance index called the strategic utility function to minimize and assist in updating of the NN weights; therefore, an optimal controller can be realized. Finally, through Lyapunov equations, the controller guarantees stability"--Abstract, page iv.

Design And Implementation Of A Hardened Distributed Network Endpoint Security System For Improving The Security Of Internet Protocol-Based Networks, William Dee Atkins

Masters Theses

"This thesis proposes a distributed approach to securing computer networks by delegating the role of a conventional firewall to a collection of nodes and controllers placed throughout the networks they are intended toprotect from attack. This distributed firewall system is a specific application of a generalized distriubted system framework that is also proposed in this thesis. The design and implementation of both the generalized framework and the application of the framework in creating a distributed firewall system for use on Ethernet-based networks that rely on the Internet Protocol are discussed. Conclusions based upon the preliminary implementation of the proposed systems …

Generic Algorithms And Null Convention Logic Hardware Implementation For Unsigned And Signed Quad-Rail Multiplication, Samarsen Reddy Mallepalli

Masters Theses

"This thesis focuses on designing generic quad-rail arithmetic circuits, such as signed and unsigned multipliers and Multiply and Accumulate (MAC) units, using the asynchronous delay-insensitive NULL Convention Logic (NCL) paradigm. This work helps to build a library of reusable components to be used for automated NCL circuit synthesis, which will aid in the integration of asynchronous design paradigms into the semiconductor industry"--Abstract, page iii.

Delay-Insensitive Ternary Logic (Ditl), Ravi Sankar Parameswaran Nair

Masters Theses

"This thesis focuses on development of a Single Rail Ternary Voltage Delay-Insensitive paradigm called Delay-Insensitive Ternary Logic (DITL), which is based on NULL Convention Logic (NCL). Single rail asynchronous logic has potential advantages over Dual-Rail logic such as reduction of Power and Interconnect as well as Logic Area. The DITL concept is developed in steps of individual circuit components. These components are designed at the transistor level and are connected together to form a registered pipeline system. Some variations in pipeline design are also investigated"--Abstract, page iii.

A Simulation Environment Modeling The Use Of Wireless Sensor Networks For The Detection And Mapping Of Wildfires, Matthew Gann

Masters Theses

"Over the past 5 years, billions of dollars have been spent fighting wildfires which consume thousands of acres. Currently, satellites are the primary source of information regarding the location of large scale wildfires. The satellites in use are capable of reporting the location of the wildfire, but these reports are generated infrequently and have a low spatial resolution, where the reported location of the fire can be off by 500 meters. Timely detection (latency) and frequent report (throughput) are needed to help prevent the destruction caused by wildfires. This thesis, a system is described based on an ad-hoc wireless sensor …

Printed Circuit Board (Pcb) Loss Characterization Up-To 20 Ghz And Modeling, Analysis And Validation, Abhilash Rajagopal

Masters Theses

"Dielectric properties and losses are increasingly more important in signal link path characterization, as data rates increases. High-frequency effects such as dielectric losses, dispersion and skin-effect losses need to be considered. For ensuring signal integrity, it is important to characterize losses of printed circuit board (PCB) dielectrics. To extract dielectric properties of a stripline transmission medium, an analytical technique was used...Two test materials were studied, and the extraction procedure was refined. This technique was applied to microstrip transmission lines. Two analytical solutions were derived for extracting practical material parameters. A microstrip test vehicle was designed and the two extraction methods …

Energy Efficient Processor Operation And Vibration Based Energy Harvesting Schemes For Wireless Sensor Nodes, Phani Kumar Gajjala

Masters Theses

"A wireless Sensor Network (WSN) is a network of spatially distributed autonomous sensors deployed in the environment in order to cooperatively monitor physical or environmental conditions such as temperature, sound, pressure, motion or pollutants at different locations. Each node in a sensor network is equipped with a radio transceiver, a microprocessor and an energy source such as a battery which should be replaced periodically. To increase the lifetime of the network keeping the small size in mind, methods should be put in place to reduce the power consumption of the sensor node or increase the node life and/or to supply …

A Network Infrastructure For Real-Time Monitoring Of Campus Energy Consumption, Sandeep Kunchum

Masters Theses

"Pressing environmental concerns and rising energy costs have led many organizations to carefully review their energy consumption. Conservation requires that energy use be monitored accurately and continuously, to identify areas with higher energy consumption. Lighting has repeatedly been identified as such an area. A simple, yet effective method for reducing lighting energy consumption is retrofitting existing light fixtures with modern energy-efficient versions. The University of Missouri-Rolla is currently carrying out a lighting retrofit of all fixtures on campus. The pilot building for this project is McNutt Hall, as it has the single highest consumption of lighting energy. The results of …

Identification Of Radial Streaming And Pseudopods In Dermoscopy Images, Sayali Prabhakar Deshpande

Masters Theses

"This thesis demonstrates an algorithm to identify the features of radial streaming and pseudopods found in dermoscopy images of malignant melanoma. The algorithm includes preprocessing images using the Principal Component Transform and an application of mathematical techniques to extract the desired features from the lesion image on the basis of color, size, shape, and orientation with respect to the lesion boundary. These identified features are further used to classify the lesion as malignant or benign. The proposed algorithm has produced a diagnostic accuracy of 90.50% for the training set of 31 malignant and 109 benign images and a diagnostic accuracy …

Design For Test Techniques For Asynchronous Ncl Designs And Fpgas, Sindhu Kakarla

Masters Theses

"Testing of an electronic chip is an important step in the design process, as it can detect faults and ensure reliability. Design for Test (DFT) methods are used to modify existing designs to enable their testing by Automatic Test Pattern Generators. This thesis focuses on developing testing techniques for design automation of NULL Conventional Logic (NCL) circuits and for detection of capacitive crosstalk effects in Field Programmable Gate Arrays (FPGAs).

A novel technique is developed for testing asynchronous NCL designs aimed at good fault coverage with acceptable gate overhead. The technique focuses on testing stuck-at-faults in the internal feedback paths …

Investigating Text Message Classification Using Case-Based Reasoning, Matt Healy

Masters

Text classification is the categorization of text into a predefined set of categories. Text classification is becoming increasingly important given the large volume of text stored electronically e.g. email, digital libraries and the World Wide Web (WWW). These documents represent a massive amount of information that can be accessed easily. To gain benefit from using this information requires organisation. One way of organising it automatically is to use text classification. A number of well known machine learning techniques have been used in text classification including Naïve Bayes, Support Vector Machines and Decision Trees, and the less commonly used are k-Nearest …

On Optimal Survivability Design In Wdm Optical Networks Under Scheduled Traffic Models, Tianjian Li

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Wavelength division multiplexing (WDM) optical networks are widely viewed as the most appropriate choice for future Internet backbone with the potential to fulfill the ever-growing demands for bandwidth. WDM divides the enormous bandwidth of an optical fiber into many non-overlapping wavelength channels, each of which may operate at the rate of 10 Gigabit per second or higher. A failure in a network such as a cable cut may result in a tremendous loss of data. Therefore, survivability is a very important issue in WDM optical networks. The objective of this dissertation is to address the survivability provisioning problem in WDM …

Implementation For A Coherent Keyword-Based Xml Query Language, Venkatakalyan Potturi

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Due to the increasing pervasiveness of data sets using the XML data format, numerous query languages have been proposed that exploit the structure inherent in XML. Many such query languages, supported by specialized XML search engines, are complex and not suitable for naive users. A simple keyword based query language is described which not only exploits the structure of XML documents to extract relevant fragments, but can also fall back on retrieval through plain text search. This thesis focuses on developing a prototype implementation for a Coherent Keyword Based XML Query Language. It analyzes the typical challenges posed by the …

An Evolutionary Programming Algorithm For Automatic Chromatogram Alignment, Bonnie Jo Schwartz

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Scientists use liquid chromatography/mass spectrometry (LC/MS) instruments to measure metabolic responses to external stimuli. The data from these instruments can be distorted due to changes in the testing environment. Automating the removal of distortions is crucial in processing the data. The purpose of this thesis is to develop an algorithm that will automate the process.

The data produced by the LC/MS instrument were treated as images and image registration techniques were applied. A polynomial transformation function was assumed. An evolutionary programming algorithm was used to determine the coefficients of the polynomial. The data was manipulated to determine the best registration …

Role-Based Access Control For The Open Grid Services Architecture - Data Access And Integration (Ogsa-Dai), Anil L. Pereira

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Grid has emerged recently as an integration infrastructure for the sharing and coordinated use of diverse resources in dynamic, distributed virtual organizations (VOs). A Data Grid is an architecture for the access, exchange, and sharing of data in the Grid environment. In this dissertation, role-based access control (RBAC) systems for heterogeneous data resources in Data Grid systems are proposed. The Open Grid Services Architecture - Data Access and Integration (OGSA-DAI) is a widely used framework for the integration of heterogeneous data resources in Grid systems.

However, in the OGSA-DAI system, access control causes substantial administration overhead for resource providers in …

Data Mining And Analysis On Multiple Time Series Object Data, Chunyu Jiang

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Huge amount of data is available in our society and the need for turning such data into useful information and knowledge is urgent. Data mining is an important field addressing that need and significant progress has been achieved in the last decade. In several important application areas, data arises in the format of Multiple Time Series Object (MTSO) data, where each data object is an array of time series over a large set of features and each has an associated class or state. Very little research has been conducted towards this kind of data. Examples include computational toxicology, where each …

Xml Integrated Environment For Service-Oriented Data Management, Marwan Younes Maarouf

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The proliferation of XML as a family of related standards including a markup language (XML), formatting semantics (XSL style sheets), a linking syntax (XLINK), and appropriate data schema standards have emerged as a de facto standard for encoding and sharing data between various applications. XML is designed to be simple, easily parsed and self-describing. XML is based on and support the idea of separation of concerns: information content is separated from information rendering, and relationships between data elements are provided via simple nesting and references. As the XML content grows, the ability to handle schemaless XML documents becomes more critical …

High Performance Text Document Clustering, Yanjun Li

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Data mining, also known as knowledge discovery in database (KDD), is the process to discover interesting unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract interesting and nontrivial information and knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups.

This research focuses on improving the performance of text clustering. We investigated the text clustering algorithms in four aspects: document representation, documents closeness measurement, high dimension reduction and parallelization. We propose a group of high performance …

An Analysis Of Neutral Drift's Effect On The Evolution Of A Ctrnn Locomotion Controller With Noisy Fitness Evaluation, Gregory Robert Kramer

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This dissertation focuses on the evolution of Continuous Time Recurrent Neural Networks (CTRNNs) as controllers for control systems. Existing research suggests that the process of neutral drift can greatly benefit evolution for problems whose fitness landscapes contain large-scale neutral networks. CTRNNs are known to be highly degenerate, providing a possible source of large-scale landscape neutrality, and existing research suggests that neutral drift benefits the evolution of simple CTRNNs. However, there has been no in-depth examination of the effects of neutral drift on complex CTRNN controllers, especially in the presence of noisy fitness evaluation. To address this problem, this dissertation presents …

Computational Methods For The Objective Review Of Forensic Dna Testing Results, Jason R. Gilder

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Since the advent of criminal investigations, investigators have sought a "gold standard" for the evaluation of forensic evidence. Currently, deoxyribonucleic acid (DNA) technology is the most reliable method of identification. Short Tandem Repeat (STR) DNA genotyping has the potential for impressive match statistics, but the methodology not infallible. The condition of an evidentiary sample and potential issues with the handling and testing of a sample can lead to significant issues with the interpretation of DNA testing results. Forensic DNA interpretation standards are determined by laboratory validation studies that often involve small sample sizes. This dissertation presents novel methodologies to address …

Summaritive Digest For Large Document Repositories With Application To E-Rulemaking, Lijun Chen

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Large document repositories need to be organized and summarized to make them more accessible and understandable. Such needs exist in many applications, including web search, e-rulemaking (electronic rulemaking) and document archiving. Even though much has been done in the areas of document clustering and summarization, there are still many new challenges and issues that need to be addressed as the repositories become larger, more prevalent and dynamic. In this dissertation, we investigate more informative ways to organize and summarize large document repositories, especially e-rulemaking feedback repositories (ERFRs), so that the large repositories can be managed and digested more efficiently and …

Comparative Microarray Data Mining, Shihong Mao

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As a revolutionary technology, microarrays have great potential to provide genome-wide patterns of gene expression, to make accurate medical diagnosis, and to explore genetic causes underlying diseases. It is commonly believed that suitable analysis of microarray datasets can lead to achieve the above goals. While much has been done in microarray data mining, few previous studies, if any, focused on multiple datasets at the comparative level. This dissertation aims to fill this gap by developing tools and methods for set-based comparative microarray data mining. Specifically, we mine highly differentiative gene groups (HDGGs) from given datasets/classes, evaluate the concordance of datasets …

A Hybrid Approach To Retrieving Web Documents And Semantic Web Data, Trivikram Immaneni

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The Semantic Web has been evolving into a property-linked web of RDF data, conceptually divorced from (but physically housed in) the World Wide Web of hyperlinked documents. Data Retrieval techniques are typically used to retrieve data from the Semantic Web while Information Retrieval techniques are used to retrieve documents from the Hypertext Web. Conceptually unifying the two webs enables the exploitation of their interconnections resulting in benefits to both data and document retrieval. Towards this end, we present the Unified Web model that integrates the two webs and formalizes the structure and the semantics of their interconnections. We present a …

Bibliography Tools In The Context Of Www And Latex, Munushree Thummala

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Preparation of academic papers involves not only the creative processes but also the more mechanical tasks such as adjusting the form and style to suit the demands of the publishing journal or conference. Among several packages that help in these rather tedious mechanical tasks, the TEX + LATEX + BibTEX combination is extremely popular. This thesis is about tools that help in the necessary task of citing related work accurately. It focuses on three aspects of this larger bibliography frame work: (i) a survey of existing bibliography formats and tools, (ii) a database view of BibTEX files and functionality that …

C-Fos As A Proapoptotic Agent In Trail-Induced Apoptosis In Prostate Cancer Cells, Xiaoping Zhang, Liang Zhang, Hongmei Yang, Xu Huang, Hasan H. Otu, Towia A. Libermann, William C. Dewolf, Roya Khosravi-Far, Aria F. Olumi

Department of Electrical and Computer Engineering: Faculty Publications

Tumor necrosis factor–related apoptosis-inducing ligand (TRAIL)/Apo-2L promotes apoptosis in cancer cells while sparing normal cells. Although many cancers are sensitive to TRAIL-induced apoptosis, some evade the proapoptotic effects of TRAIL. Therefore, differentiating molecular mechanisms that distinguish between TRAIL-sensitive and TRAIL-resistant tumors are essential for effective cancer therapies. Here, we show that c-Fos functions as a proapoptotic agent by repressing the antiapoptotic molecule c-FLIP(L). c-Fos binds the c-FLIP(L) promoter, represses its transcriptional activity, and reduces c-FLIP(L) mRNA and protein levels. Therefore, c-Fos is a key regulator of c-FLIP(L), and activation of c-Fos determines whether a cancer cell will undergo cell death …

Serum Proteome Profiling Detects Myelodysplastic Syndromes And Identifies Cxc Chemokine Ligands 4 And 7 As Markers For Advanced Disease, Manuel Aivado, Dimitrios Spentzos, Ulrich Germing, Gil Alterovitz, Xiao-Ying Meng, Franck Grall, Aristoteles A. N. Giagounidis, Giannoula Klement, Ulrich Steidl, Hasan H. Otu, Akos Czibere, Wolf C. Prall, Christof Iking-Konert, Michelle Shayne, Marco F. Ramoni, Norbert Gattermann, Rainer Haas, Constantine S. Mitsiades, Eric T. Fung, Towia A. Libermann

Department of Electrical and Computer Engineering: Faculty Publications

Myelodysplastic syndromes (MDS) are among the most frequent hematologic malignancies. Patients have a short survival and often progress to acute myeloid leukemia. The diagnosis of MDS can be difficult; there is a paucity of molecular markers, and the pathophysiology is largely unknown. Therefore, we conducted a multicenter study investigating whether serum proteome profiling may serve as a noninvasive platform to discover novel molecular markers for MDS. We generated serum proteome profiles from 218 individuals by MS and identified a profile that distinguishes MDS from non-MDS cytopenias in a learning sample set. This profile was validated by testing its ability to …

Collaborative Image Transmissions Based On Region And Path Diversity In Wireless Sensor Network, Honggang Wang, Dongming Peng, Wei Wang, Hamid Sharif, Hsiao-Hwa Chen

Department of Electrical and Computer Engineering: Faculty Publications (to 2015)

Many Sensor applications such as monitoring and surveillance may require image sensor array to conduct collaborative image transmissions in Wireless Sensor Networks (WSN). The large size image transmissions cause bottlenecks in WSN due to the limited energy resources and network capacity. In this paper, we propose a collaborative transmission scheme for image sensors to utilize inter-sensor correlations to decide transmission patterns based on transmission path diversities, which achieves minimal energy consumption, balanced sensor lifetime and required image quality. This optimization scheme not only allows each image sensor to transmit optimal fractions of the overlapped images through appropriate transmission paths in …

A Small Chip Area 12-B 300ms/S Current Steering Cmos D/A Converter Based On A Laminated-Step Layout Technique, Byungseung Lee, Byungill Kim, Juneseok Lee, Sanghoon Hwang, Minkyu Song, Tad Wysocki

Department of Electrical and Computer Engineering: Faculty Publications (to 2015)

A 12-b 300MSPS Current-Steering DAC with 0.13um CMOS technology is presented. In order to reduce the chip area, a laminated-step layout technique is proposed. Based on this technique, the occupied DAC core size is only 0.26mm² even in 12-b resolution. Further, a current auto-averaging technique, an output impedance enhancement circuit, and the novel latched switching cell logic are discussed to keep the desired 12- b DAC performance. The measured results are within ±1LSB for DNL. The measured SFDR is 70dB under Nyquist output frequency with 50mW power dissipation at 3.3V power supply.