Computer Engineering Commons^™

Leveraging The Srtp Protocol For Over-The-Network Memory Acquisition Of A Ge Fanuc Series 90-30, George Denton, Filip Karpisek, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

Programmable Logic Controllers (PLCs) are common components implemented across many industries such as manufacturing, water management, travel, aerospace and hospitals to name a few. Given their broad deployment in critical systems, they became and still are a common target for cyber attacks; the most prominent one being Stuxnet. Often PLCs (especially older ones) are only protected by an outer line of defense (e.g., a firewall) but once an attacker gains access to the system or the network, there might not be any other defense layers. In this scenario, a forensic investigator should not rely on the existing software as it …

Intelligent Ground Vehicle Competition, Austin R. Tyler, Chris R. Estock, Johnathan P. Johenning, Garrett W. Chonko, Allen C. Gilleland

Williams Honors College, Honors Research Projects

The Intelligent Ground Vehicle Competition (IGVC) draws teams from various universities to compete in the annual autonomous vehicle challenge at the Oakland University campus. To compete, a vehicle must be fully autonomous and can navigate a course designated by various obstacles and painted white lines. Some design challenges are motor control, navigation, environment sensing and safety. A complex navigation system will utilize several tools including a high-precision differential GPS. The vehicle’s surroundings will be mapped using a combination of Light Detection and Ranging (LiDAR) and computer-vision enabled imaging. To comply with IGVC rules, the vehicle must also follow several safety …

Smart Fan, Jacob A. Carroll, Joshua B. Blanchard, Peter A. Gross, Joshua D. Riegel

Williams Honors College, Honors Research Projects

Modern box fans offer a simple solution to cooling an area. However, the simplicity that makes these fans appealing also limits their potential. A smart box fan that preserves its original simplicity while providing enhanced technological features such as smartphone connectivity and variable speed selection should lead to ease of use, improved performance, and increased customer satisfaction. To this end, a regular box fan will be instrumented and technology-enhanced, thus “smart fan.” The standard AC motor will be replaced with a DC motor for finer speed selection over the allowable range. The smart fan will offer three categories of operation: …

Using Mediawiki, The Semantic Mediawiki Extension And Relfinder For Heritage Data Management: A Rock Art Case Study, Robert A. Haubt

Staff Scholarship - Australia & Dubai

This paper looks at the usefulness of the MediaWiki and relevant wiki extensions for rock art data management and research. The paper follows a framework provided by the Global Rock Art Database www.rockartdatabase.com and examines a new database model for a semantic data management approach. Through practical examples it explores the usefulness of wikis in the data management life cycle from data planning to collection, storage and dissemination and examines interconnections within each phase of the cycle. The paper proposes a combined use of the Semantic MediaWiki extension and the RelFinder for visualization of semantic relationships, which could assist researchers …

Assessment Of Mental Workload: A Comparison Of Machine Learning Methods And Subjective Assessment Techniques, Karim Moustafa, Saturnino Luz, Luca Longo

Articles

Mental workload (MWL) measurement is a complex multidisciplinary research field. In the last 50 years of research endeavour, MWL measurement has mainly produced theory-driven models. Some of the reasons for justifying this trend includes the omnipresent uncertainty about how to define the construct of MWL and the limited use of datadriven research methodologies. This work presents novel research focused on the investigation of the capability of a selection of supervised Machine Learning (ML) classification techniques to produce data-driven computational models of MWL for the prediction of objective performance. These are then compared to two state-of-the-art subjective techniques for the assessment …

H2−H∞ Control Of Continuous-Time Nonlinear Systems Using The State-Dependent Riccati Equation Approach, Xin Wang, Edwin E. Yaz, Susan C. Schneider, Yvonne I. Yaz

Electrical and Computer Engineering Faculty Research and Publications

This paper presents a novel state-dependent Riccati equation (SDRE) control approach with the purpose of providing a more effective control design framework for continuous-time nonlinear systems to achieve a mixed nonlinear quadratic regulator and H∞ control performance criteria. By solving the generalized SDRE, the optimal control solution is found to achieve mixed performance objectives guaranteeing nonlinear quadratic optimality with inherent stability property in combination with H∞ type of disturbance reduction. An efficient computational algorithm is given to find the solution to the SDRE. The efficacy of the proposed technique is used to design the control system for inverted …

H2−H∞ Control Of Discrete-Time Nonlinear Systems Using The State-Dependent Riccati Equation Approach, Xin Wang, Edwin E. Yaz, Susan C. Schneider, Yvonne I. Yaz

Electrical and Computer Engineering Faculty Research and Publications

A novel H₂−H_∞ State-dependent Riccati equation control approach is presented for providing a generalized control framework to discrete-time nonlinear system. By solving a generalized Riccati equation at each time step, the nonlinear state feedback control solution is found to satisfy mixed performance criteria guaranteeing quadratic optimality with inherent stability property in combination with H∞ type of disturbance attenuation. Two numerical techniques to compute the solution of the resulting Riccati equation are presented: The first one is based on finding the steady-state solution of the difference equation at every step and the second one is based on finding …

Wind Turbine Noise And Wind Speed Prediction, Tyler H. Blanchard

College of Graduate Studies: Theses & Dissertations

In order to meet the US Department of Energy projected target of 35% of US energy coming from wind by 2050, there is a strong need to study the management and development of wind turbine technology and its impact on human health, wildlife and environment. The prediction of wind turbine noise and its propagation is very critical to study the impacts of wind turbine noise for long term adoption and acceptance by neighboring communities. The prediction of wind speed is critical in the assessment of feasibility of a potential wind turbine site. This work presents a study on prediction of …

Stochastic Modelling For Levy Distributed Systems, Jonathan Blackledge, T Raja Rani

Articles

The purpose of this paper is to examine a range of results that can be derived from Einstein’s evolution equation focusing on (but not in an exclusive sense) the effect of introducing a L´evy distribution. In this context, we examine the derivation (as derived from the Einstein’s evolution equation) of the classical and fractional diffusion equations, the classical and generalised Kolmogorov-Feller equations, the evolution of self-affine stochastic fields through the fractional diffusion equation and the fractional Schr¨odinger equation, the fractional Poisson equation (for the time independent case), and, a derivation of the Lyapunov exponent. In this way, we provide a …

Clustering Opportunistic Ant-Based Routing Protocol For Wireless Sensor Networks, Xinlu Li, Brian Keegan, Fredrick Mtenzi

Conference papers

The wireless Sensor Networks (WSNs) have a wide range of applications in many ereas, including many kinds of uses such as environmental monitoring and chemical detection. Due to the restriction of energy supply, the improvement of routing performance is the major motivation in WSNs. We present a Clustering Opportunistic Ant-based Routing protocol (COAR), which comprises the following main contributions to achieve high energy efficient and well load-balance: (i) in the clustering algorithm, we caculate the theoretical value of energy dissipation, which will make the number of clusters fluctuate around the expected value, (ii) define novel heuristic function and pheromone update …

Benchmarking Javascript Frameworks, Carl Lawrence Mariano

Dissertations

JavaScript programming language has been in existence for many years already and is one of the most widely known, if not, the most used front-end programming language in web development. However, JavaScript is still evolving and with the emergence of JavaScript Frameworks (JSF), there has been a major change in how developers develop software nowadays. Developers these days often use more than one framework in order to fulfil their job which has given rise to the problem for developers when it comes to choosing the right JavaScript framework to develop software which is partly due to the availability of countless …

Comparison Study Of The Most Common Virtual Machine Load Balancing Algorithms In Large-Scale Cloud Environment Using Cloud Simulator, Rowaa Filimban

Dissertations

This is era of internet. There is barely any field where internet do not play important role. Nowadays, CloudComputing links to the internet that has rebelled the whole universe. CloudComputing is a rapid enlarging domain in computing industry and research. Three main services offered by the cloud are SaaS, PaaS and IaaS. With the technology advancement of the CloudComputing, there are many new chances pioneer on how applications can be developed and how several services can be provided to the end user throughout Virtualization, on the internet. What's more, there are cloud service providers who offer and provide large-scaled computing …

Assessing The Usefulness Of Different Feature Sets For Predicting The Comprehension Difficulty Of Text, Brian Mac Namee, John D. Kelleher, Noel Fitzpatrick

Conference papers

Within English second language acquisition there is an enthusiasm for using authentic text as learning materials in classroom and online settings. This enthusiasm, however, is tempered by the difficulty in finding authentic texts at suitable levels of comprehension difficulty for specific groups of learners. An automated way to rate the comprehension difficulty of a text would make finding suitable texts a much more manageable task. While readability metrics have been in use for over 50 years now they only capture a small amount of what constitutes comprehension difficulty. In this paper we examine other features of texts that are related …

Analysing The Behaviour Of Online Investors In Times Of Geopolitical Distress: A Case Study On War Stocks, James Usher, Pierpaolo Dondio

Conference papers

In this paper we analyse how the behavior of an online financial community in time of geopolitical crises. In particular, we studied the behaviour, composition and communication patterns of online investors before and after a military geopolitical event. We selected a set of 23 key-events belonging to the 2003 US-led invasion of Iraq, the Arab Spring and the first period of the Ukraine crisis. We restricted our study to a set of eight so called military stocks, which are US-manufacturing companies active in the defence sector. We studied the resilience of the community to information shocks by comparing the community …

Omni-Directional Infrared 3d Reconstruction And Tracking Of Human Targets, Emrah Benli

Theses and Dissertations

Omni-directional (O-D) infrared (IR) vision is an effective capability for mobile systems in robotics, due to its advantages: illumination invariance, wide field-of-view, ease of identifying heat-emitting objects, and long term tracking without interruption. Unfortunately, O-D IR sensors have low resolution, low frame rates, high cost, sensor noise, and an increase in tracking time. In order to overcome these disadvantages, we propose an autonomous system application in indoor scenarios including 1) Dynamic 3D Reconstruction (D3DR) of the target view in real time images, 2) Human Behavior-based Target Tracking from O-D thermal images, 3) Thermal Multisensor Fusion (TMF), and 4) Visual Perception …

Ego-Localization Navigation For Intelligent Vehicles Using 360° Lidar Sensor For Point Cloud Mapping, Tyler Naes

College of Graduate Studies: Theses & Dissertations

With its prospects of reducing vehicular accidents and traffic in highly populated urban areas by taking the human error out of driving, the future in automobiles is leaning towards autonomous navigation using intelligent vehicles. Autonomous navigation via Light Detection And Ranging (LIDAR) provides very accurate localization within a predefined, a priori, point cloud environment that is not possible with Global Positioning System (GPS) and video camera technology. Vehicles may be able to follow paths in the point cloud environment if the baseline paths it must follow are known in that environment by referencing objects detected in the point cloud …

Investigation Of The Use Of 3-D Printer Platform As Building Block For Rapid Design Of Research And Manufacturing Tool, Handy Chandra

Dissertations, Master's Theses and Master's Reports

This thesis attempts to show how an open source 3-D printer platform, the self replicating rapid prototype (RepRap), could be used to accelerate the development of research and manufacturing tools. Two projects are shown as examples, both utilizing components of the 3-D printer platform.

The first project is to develop an instrument capable of performing automated large-area four-point probe measurements. A modified RepRap 3-D Printer with a four-point probe in place of the 3-D printer head is utilized as a precision positioning platform. The printer together with custom designed measurement circuit and software performs automated measurement on multiple points on …

High Performance Multiview Video Coding, Caoyang Jiang

Dissertations, Master's Theses and Master's Reports

Following the standardization of the latest video coding standard High Efficiency Video Coding in 2013, in 2014, multiview extension of HEVC (MV-HEVC) was published and brought significantly better compression performance of around 50% for multiview and 3D videos compared to multiple independent single-view HEVC coding. However, the extremely high computational complexity of MV-HEVC demands significant optimization of the encoder. To tackle this problem, this work investigates the possibilities of using modern parallel computing platforms and tools such as single-instruction-multiple-data (SIMD) instructions, multi-core CPU, massively parallel GPU, and computer cluster to significantly enhance the MVC encoder performance. The aforementioned computing tools …

Design Automation For Carbon Nanotube Circuits Considering Performance And Security Optimization, Lin Liu

Dissertations, Master's Theses and Master's Reports

As prevailing copper interconnect technology advances to its fundamental physical limit, interconnect delay due to ever-increasing wire resistivity has greatly limited the circuit miniaturization. Carbon nanotube (CNT) interconnects have emerged as promising replacement materials for copper interconnects due to their superior conductivity. Buffer insertion for CNT interconnects is capable of improving circuit timing of signal nets with limited buffer deployment. However, due to the imperfection of fabricating long straight CNT, there exist significant unidimensional-spatially correlated variations on the critical CNT geometric parameters such as the diameter and density, which will affect the circuit performance.

This dissertation develops a novel timing …

Low-Cost Open-Source Gmaw-Based Metal 3-D Printing: Monitoring, Slicer, Optimization, And Applications, Yuenyong Nilsiam

Dissertations, Master's Theses and Master's Reports

Low-cost and open-source gas metal arc welding (GMAW)-based 3-D printing has been demonstrated yet the electrical design and software was not developed enough to enable wide-spread adoption. This thesis provides three novel technical improvements based on the application of mechatronic and software theory that when combined demonstrate the ability for distributed digital manufacturing at the small and medium enterprise scale of steel and aluminum parts. First, low cost metal inert gas welders contain no power monitoring needed to tune GMAW 3-D printers. To obtain this data about power and energy usage during the printing, an integrated monitoring system was developed …