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Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Technology Corner: Virtual Crime Scene Reconstruction: The Basics Of 3d Modeling, Nick V. Flor

Journal of Digital Forensics, Security and Law

Digital crime scenes take place in the context of physical crime scenes. Virtual crime scene reconstruction is an activity where investigators create a 3- dimensional (3-D) model of an actual crime scene for the purpose of determining the events that lead to the crime. While virtual crime scene reconstruction is currently used for analyzing physical scenes, it can also help investigators visualize and explore ways digital media could have been used to perpetrate a crime. In this technology corner we explore one of the technologies underlying virtual crime scene reconstruction: 3-D modeling.

Working Inside The Box: An Example Of Google Desktop Search In A Forensic Examination, Timothy J. Latulippe

Journal of Digital Forensics, Security and Law

Information and the technological advancements for which mankind develops with regards to its storage has increased tremendously over the past few decades. As the total amount of data stored rapidly increases in conjunction with the amount of widely available computer-driven devices being used, solutions are being developed to better harness this data. These types of advancements are continually assisting investigators and computer forensic examiners. One such application which houses copious amounts of fruitful data is the Google Desktop Search program. Coupled with tested and verified techniques, examiners can exploit the power of this application to cater to their investigative needs. …

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Book Review: Iphone And Ios Forensics: Investigation, Analysis And Mobile Security For Apple Iphone, Ipad And Ios Devices, Christopher Schulte

Journal of Digital Forensics, Security and Law

These are exciting times for Digital Forensics practitioners. While our examinations of mobile devices (including cell phones and tablet computers) continue to bring new and sometimes hair-pulling challenges into our labs and on-site engagements, research and understanding of these tiny computers is increasing at what seems an exponential rate. This is especially true in the iOS (Apple Computer’s mobile operating system that powers the iPhone, iPad, iPod Touch and Apple TV) space. The diligent work of talented computer scientists in this field allows examiners everywhere to reap the benefits of easier, faster and more effective examinations that yield more accurate …

Investigating Modern Communication Technologies: The Effect Of Internet-Based Communication Technologies On The Investigation Process, Matthew Simon, Jill Slay

Journal of Digital Forensics, Security and Law

Communication technologies are commonplace in modern society. For many years there were only a handful of communication technologies provided by large companies, namely the Public Switched Telephone Network (PSTN) and mobile telephony; these can be referred to as traditional communication technologies. Over the lifetime of traditional communication technologies has been little technological evolution and as such, law enforcement developed sound methods for investigating targets using them. With the advent of communication technologies that use the Internet – Internet-based or contemporary communication technologies – law enforcement are faced with many challenges. This paper discusses these challenges and their potential impact. It …

Do We Need M&S Science?, Jose J. Padilla, Saikou Y. Diallo, Andreas Tolk

VMASC Publications

No abstract provided.

Memristor Based Lookup Table - Novel Testing And Reconfiguration Techniques, Veeresh Anilkumar Hongal

Masters Theses

"Nanotechnology is soon predicted to replace the CMOS technology, as current CMOS lithographic techniques will become void for complex IC designs with smaller feature size, and are hence incapable of keeping up with Moore's law. The devices in nanotechnology are fabricated using bottom up self-assembly. Memristor is one promising nanotech device which can replace the transistor used as a switch or memory device as it is just half the size and uses only fraction of the energy. This work considers Memristor Look Up Table (MLUT) design, which is a building block for asynchronous FPGAs built with memristors. In spite of …

Optimized Testing And Logic Mapping Methodology For Caen-Based Nano-Circuits, Sambhav Kundaikar

Masters Theses

"Nanotechnology has been shown to have the potential to replace the existing CMOS technology in the race to maintain the Moore's Law increases in IC complexity. This work considers the Chemically Assembled Electronic Nanotechnology (CAEN), which fabricates nanofabric using a low cost self-assembly and self-alignment chemical process and provides very high density. However, the main disadvantage of this technology is the inherently high defect rate that hinders the efforts to commercialize such systems. Existing testing and design techniques, for example for FPGAs, are ill suited since they typically assume vary low defect rates.

This thesis is comprised of two papers. …

Detecting The Onset Of Dementia Using Context-Oriented Architecture, Basel Magableh, Nidal Albeiruti

Articles

In the last few years, Aspect Oriented Software De- velopment (AOSD) and Context Oriented Software Development (COSD) have become interesting alternatives for the design and construction of self-adaptive software systems. An analysis of these technologies shows them all to employ the principle of the separation of concerns, Model Driven Architecture (MDA) and Component-based Software Development (CBSD) for building high quality of software systems. In general, the ultimate goal of these technologies is to be able to reduce development costs and effort, while improving the adaptability, and dependability of software systems. COSD, has emerged as a generic devel- opment paradigm towards …

Accessible Rich Internet Applications: The Search Engine Challenge, Angela Kielthy

Conference papers

The perception that Rich Internet Applications (RIAs) and Accessible Rich Internet Applications (ARIAs) are inaccessible to search engines is perhaps one of the main factors that hinder their wider adoption by the web development community. Recent announcements that RIAs and ARIAs are becoming more search engine friendly is provoking web developers to look for further information and evidence that will support or refute these announcements.

This paper outlines research undertaken and tests performed to establish if RIAs and ARIAs developed using Adobe Flex are crawlable and indexable by the Google search engine by default.

The conclusion drawn from testing is …

Simulated Performance Intensity Functions, Andrew Hines, Naomi Harte

Conference papers

Measuring speech intelligibility for different hearing aid fitting methods in a simulated environment would allow rapid prototyping and early design assessment. A simulated performance intensity function (SPIF) test methodology has been developed to allow experimentation using an auditory nerve model to predict listeners’ phoneme recognition. The test discriminates between normal hearing and progressively degrading levels of sensorineural hearing loss. Auditory nerve discharge patterns, presented as neurograms, can be subjectively ranked by visual inspection. Here, subjective inspection is substituted with an automated ranking using a new image quality metric that can quantify neurogram degradation in a consistent manner. This work reproduces …

Comparing Hearing Aid Algorithm Performance Using Simulated Performance Intensity Functions, Andrew Hines, Naomi Harte

Conference papers

Simulated performance intensity functions were used to quantitatively discriminate speech intelligibility through phoneme discrimination assessment. Listener test results for subjects with a wide range of sensorineural hearing losses were simulated using an auditory nerve model and compared to real listeners' unaided and aided performance. Simulations of NAL-RP and DSL 4.0 fitting algorithms were compared. Auditory nerve discharge patterns from the model were presented as neurograms. An automated ranking process was used to quantify neurogram degradation using a new measure, the Neurogram Similarity Index Measure (NSIM). The measure has previously been shown to correlate well in predictions of phoneme discrimination for …

Computer Simulation Of A Hollow-Fiber Bioreactor: Heparan Regulated Growth Factors-Receptors Binding And Dissociation Analysis, Changjiang Zhang

University of Kentucky Doctoral Dissertations

This thesis demonstrates the use of numerical simulation in predicting the behavior of proteins in a flow environment.

A novel convection-diffusion-reaction computational model is first introduced to simulate fibroblast growth factor (FGF-2) binding to its receptor (FGFR) on cell surfaces and regulated by heparan sulfate proteoglycan (HSPG) under flow in a bioreactor. The model includes three parts: (1) the flow of medium using incompressible Navier-Stokes equations; (2) the mass transport of FGF-2 using convection-diffusion equations; and (3) the cell surface binding using chemical kinetics. The model consists of a set of coupled nonlinear partial differential equations (PDEs) for flow and …

Three Dimensional Modeling And Animation Of Facial Expressions, Alice J. Lin

University of Kentucky Doctoral Dissertations

Facial expression and animation are important aspects of the 3D environment featuring human characters. These animations are frequently used in many kinds of applications and there have been many efforts to increase the realism. Three aspects are still stimulating active research: the detailed subtle facial expressions, the process of rigging a face, and the transfer of an expression from one person to another. This dissertation focuses on the above three aspects.

A system for freely designing and creating detailed, dynamic, and animated facial expressions is developed. The presented pattern functions produce detailed and animated facial expressions. The system produces realistic …

Modeling Pedestrian Behavior In Video, Paul Scovanner

Electronic Theses and Dissertations

The purpose of this dissertation is to address the problem of predicting pedestrian movement and behavior in and among crowds. Specifically, we will focus on an agent based approach where pedestrians are treated individually and parameters for an energy model are trained by real world video data. These learned pedestrian models are useful in applications such as tracking, simulation, and artificial intelligence. The applications of this method are explored and experimental results show that our trained pedestrian motion model is beneficial for predicting unseen or lost tracks as well as guiding appearance based tracking algorithms. The method we have developed …

A New Approach To Algebraic Coding Theory Through The Applications Of Soft Sets, Florentin Smarandache, Mumtaz Ali

Branch Mathematics and Statistics Faculty and Staff Publications

Algebraic codes play a signifcant role in the minimisation of data corruption which caused by defects such as inference, noise channel, crosstalk, and packet loss. In this paper, we introduce soft codes (soft linear codes) through the application of soft sets which is an approximated collection of codes. We also discuss several types of soft codes such as type-1 soft codes, complete soft codes etc. Further, we construct the soft generator matrix and soft parity check matrix for the soft linear codes. Moreover, we develop two techniques for the decoding of soft codes.

Evidence Supporting Measure Of Similarity For Reducing The Complexity In Information Fusion, Florentin Smarandache, Jean Dezert, Xinde Li, Xinhan Huang

Branch Mathematics and Statistics Faculty and Staff Publications

This paper presents a new method for reducing the number of sources of evidence to combine in order to reduce the complexity of the fusion processing. Such a complexity reduction is often required in many applications where the real-time constraint and limited computing resources are of prime importance. The basic idea consists in selecting, among all sources available, only a subset of sources of evidence to combine. The selection is based on an evidence supporting measure of similarity (ESMS) criterion which is an efficient generic tool for outlier sources identification and rejection. The ESMS between two sources of evidence can …

Evidence Supporting Measure Of Similarity For Reducing The Complexity In Information Fusion, Xinde Li, Jean Dezert, Florentin Smarandache, Xinhan Huang

Branch Mathematics and Statistics Faculty and Staff Publications

This paper proposes a new solution for reducing the number of sources of evidence to be combined in order to diminish the complexity of the fusion process required in some applications where the real-time constraint and strong computing resource limitation are of prime importance. The basic idea consists in selecting, among the whole set of sources of evidence, only the biggest subset of sources which are not too contradicting based on a criterion of Evidence Supporting Measure of Similarity (ESMS) in order to process solely the coherent information received. The ESMS criterion serves actually as a generic tool for outlier …

Collaborative And Distributed Algorithms For Localization In Wireless Sensor Networks Based On The Solution Of Spatially Constrained Local And Sub-Local Problems, Juan De Dios Cota

Open Access Theses & Dissertations

In this research we present algorithms for the distributed and collaborative localization of nodes for applications in wireless sensor networks. The algorithms are distributed in the sense that each node can estimate its own position using only range information and position estimates from neighboring nodes. The algorithms aim at achieving good accuracy with low computational complexity and low energy consumption. We consider the full localization process consisting of an initialization stage followed by a refinement stage.

For initialization, we propose a \emph{bilateration} algorithm where each node uses a set of anchors and their respective ranges to solve a set of …

Algorithms For Training Large-Scale Linear Programming Support Vector Regression And Classification, Pablo Rivas Perea

Open Access Theses & Dissertations

The main contribution of this dissertation is the development of a method to train a Support Vector Regression (SVR) model for the large-scale case where the number of training samples supersedes the computational resources. The proposed scheme consists of posing the SVR problem entirely as a Linear Programming (LP) problem and on the development of a sequential optimization method based on variables decomposition, constraints decomposition, and the use of primal-dual interior point methods. Experimental results demonstrate that the proposed approach has comparable performance with other SV-based classifiers. Particularly, experiments demonstrate that as the problem size increases, the sparser the solution …

Software And Hardware Techniques To Aid In Automating And Troubleshooting Hybrid Systems That Fabricate Three-Dimensional Electronics, Mohammed Alawneh

Open Access Theses & Dissertations

Various issues in automating the fabrication of three dimensional electronics were addressed in this thesis. The three dimensional electronics were fabricated by a stereolithoraphy and direct print hybrid system. Hardware and software limitations were discussed and possible solutions were implemented. Various automation software tools were developed, specifically a computer aided design to printed electronics conversion software compatible with various stages.

Effects Of The Usage Of Parallel Hardware Architectures In The Simulation Of Artificial Neural Networks Training Process, Carlos Beas

Open Access Theses & Dissertations

Long training times and non-ideal performance have been a big impediment in further continuing the use of Artificial Neural Networks for real world applications. Current research is currently focused on two areas of study that aim to address this problem. The first approach seeks to overcome large training times by devising faster learning algorithms where a set of interconnection weights for which the network produces negligible error takes a less amount of computation to find [Sun98]. The second approach aims to address the impediment by implementing existing training algorithms but on parallel hardware architectures.

While both approaches provide promising advances …

2d Gaussian Object Motion Detection, Miguel Angel Chaidez

Open Access Theses & Dissertations

Dr. John Moya, and associated research assistants, have previously created an image-change recognition algorithm (JESSE) to mark changes within an image. The focus of this thesis is to present a physical application and modification of this algorithm in order to detect a surgeon's hand and verify chip placement on a printed circuit board.

There are different techniques in implementing visual recognition and motion detection with smart systems but the high cost and complicated calibration of these systems make them impractical. The goal was to create a system that is simple, inexpensive and applicable to multiple applications that will allow the …

Spectrum Adaptation In Cognitive Radio Systems With Operating Constraints, Deepak R. Joshi

Electrical & Computer Engineering Theses & Dissertations

The explosion of high-data-rate-demanding wireless applications such as smart-phones and wireless Internet access devices, together with growth of existing wireless services, are creating a shortage of the scarce Radio Frequency (RF) spectrum. However, several spectrum measurement campaigns revealed that current spectrum usage across time and frequency is inefficient, creating the artificial shortage of the spectrum because of the traditional exclusive "command-and-control" model of using the spectrum. Therefore, a new concept of Cognitive Radio (CR) has been emerging recently in which unlicensed users temporarily borrow spectrum from the licensed Primary Users (PU) based on the Dynamic Spectrum Access (DSA) technique that …

Using Smartphones For Indoor Navigation, Benjamin Thomas Loulier

Purdue Polytechnic Masters Theses

This directed projet is about the use of smartphones for indoor navigation.

Nowadays, indoor navigation is a real challenge, we are all familiar with the multiple applications of GPS based navigation but all these applications cannot be transfered in an indoor environment as we cannot receive a GPS signal inside.

The document is composed of three different parts related to indoor navigation using smartphones. The first part presents an inertial positioning system for pedestrians walking in an indoor environment, this system is implemented on an iPhone 4. In the second part we introduce a positioning system using RFID tags scattered …

Optimal Port Placement And Automated Robotic Positioning For Instrumented Laparoscopic Biosensors, Brady King

Wayne State University Dissertations

OPTIMAL SURGICAL PORT PLACEMENT AND AUTOMATED ROBOTIC POSITIONING FOR RAMAN AND OTHER BIOSENSORS

by

BRADY KING

January 2011

Advisors: Dr. Abhilash Pandya, Dr. Darin Ellis, Dr. Le Yi Wang, and Dr. Greg Auner

Major: Computer Engineering

Degree: Doctor of Philosophy

Medical biosensors can provide new information during minimally invasive and robotic surgical procedures. However, these biosensors have significant physical limitations that make it difficult to find optimal port locations and place them in vivo. This dissertation explores the application of robotics and virtual/augmented reality to biosensors to enable their optimal use in vivo.

In the first study, human …

Autonomic Management Of Virtualized Resources In Cloud Computing, Jia Rao

Wayne State University Dissertations

The last five years have witnessed a rapid growth of cloud computing in business, governmental and educational IT deployment. The success of cloud services depends critically on the effective management of virtualized resources. A key requirement of cloud management is the ability to dynamically match resource allocations to actual demands, To this end, we aim to design and implement a cloud resource management mechanism that manages underlying complexity, automates resource provisioning and controls client-perceived quality of service (QoS) while still achieving resource efficiency.

The design of an automatic resource management centers on two questions: when to adjust resource allocations and …

Efficient Channel Allocation And Medium Access Organization Algorithms For Vehicular Networking, Zaydoun Yahya Rawashdeh

Wayne State University Dissertations

Due to the limited bandwidth available for Vehicular Ad-hoc Networks (VANETs), organizing the wireless channel access to efficiently use the bandwidth is one of the main challenges in VANET. In this dissertation, we focus on channel allocation and media access organization for Vehicle-to-Roadside Units (V2R) and Vehicle-to-Vehicle (V2V) communications. An efficient channel allocation algorithm for Roadside Unit (RSU) access is proposed. The goal of the algorithm is to increase system throughput by admitting more tasks (vehicles) and at the same time reduce the risk of the admitted tasks. The algorithm admits the new requests only when their requirements can be …

Development Of Load Balancing Algorithm Based On Analysis Of Multi-Core Architecture On Beowulf Cluster, Damian Valles

Open Access Theses & Dissertations

In this work, analysis, and modeling were employed to improve the Linux Scheduler for HPC use. The performance throughput of a single compute-node of the 23 node Beowulf cluster, Virgo 2.0, was analyzed to find bottlenecks and limitations that affected performance in the processing hardware where each compute-node consisted of two quad-core processors with eight gigabytes of memory. The analysis was performed using the High Performance Linpack (HPL) benchmark.

In addition, the processing hardware of the compute-node was modeled using an Instruction per Cycle (IPC) metric that was estimated using linear regression. Modeling data was obtained by using the Tuning …