Engineering Commons^™

Characterizing Multi-Walled Carbon Nanotube Synthesis For Field Emission Applications, Benjamin L. Crossley, Nathan Glauvitz, Betty T. Quinton, Ronald A. Coutu Jr., Peter J. Collins

Electrical and Computer Engineering Faculty Research and Publications

No abstract provided.

Wireless Embedded Smart Cameras: Performance Analysis And Their Application To Fall Detection For Eldercare., Alvaro Pinto

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Wireless Embedded Smart Camera Networks has received a lot of attention from academia and industry because they are small in size and easy to deploy, and they offer a multitude of attractive applications. They can be used for embedded single unit applications, or can be networked for multi-camera applications.

We first analyze three different operation scenarios for a wireless vision sensor network wherein different levels of local processing is performed. A detailed quantitative comparison of three operation scenarios are presented in terms of energy consumption and latency. This quantitative analysis provides the motivation for performing high-level local processing and decision …

Molecular Dynamics Simulation Based On Hadoop Mapreduce, Chen He

School of Computing: Dissertations, Theses, and Student Research

Molecular Dynamics (MD) simulation is a computationally intensive application used in multiple fields. It can exploit a distributed environment due to inherent computational parallelism. However, most of the existing implementations focus on performance enhancement. They may not provide fault-tolerance for every time-step.

MapReduce is a framework first proposed by Google for processing huge amounts of data in a distributed environment. The simplicity of the programming model and fault- tolerance for node failure during run-time make it very popular not only for commercial applications but also in scientific computing.

In this thesis, we develop a novel communication-free and each time-step fault- …

Networks - Ii: Closed-Form Expressions For Correlation Function And Power Density Spectrum In Mimo Mobile-To-Mobile Channels Using Two-Erose-Ring Model, Muahammad Riaz, Noor M. Khan

International Conference on Information and Communication Technologies

This paper presents an extensive study of MIMO channels in mobile-to-mobile environment. Recently proposed two-erose-ring model is reviewed for more details, and closed-form mathematical expressions for space-time correlations and power spectral density for MIMO mobile-to-mobile communication channels are derived. Using the correlation function, we analyze and compare capacity and diversity gains for two-ring model and two-erose-ring model. Furthermore, we compared the results with the existing models.

Networks - Ii: A High Bandwidth Covert Channel In Network Protocol, Mehdi Hussain

International Conference on Information and Communication Technologies

Covert channel is secret communication path, which existence is not expected in original system of design. It allows different users access to the same information, at the same time, but from different points-of-view. It is being more and more studying due to the grooming of internet. Always high-bandwidth network covert channel pose the significant risk of detection over network. Although the existing technique utilized the reserved bits of header, timestamp, initial sequence number, packet length etc for network covert channel, to some extend these have good temper resistance. But when increase their covert data capacity they becomes to fail to …

Network Security: A Review Of Salient Security Aspects Of The Universal Mobile Telecommunication System (Umts), F. Imran, M. Hussain

International Conference on Information and Communication Technologies

Wireless communication is known as key to global development. Wireless and mobile communication is gaining more importance in our life. Protecting information is one the aspects which we need to focus on the wireless networks. Universal mobile telecommunication system (UMTS) is evolution of the third generation mobile communication system. It was built on the success of global system for mobile communication (GSM). Universal mobile telecommunication system's security is also built on global system for mobile communication (GSM). The paper reviews the literature of the security aspects of the Universal mobile telecommunication system. A critical evaluation of the proposed solutions is …

Networks - Ii: Modified On Demand Transmission Power Control For Wireless Sensor Networks, Mirza M Yasir Masood, Ghufran Ahmed, Noor M. Khan

International Conference on Information and Communication Technologies

On Demand Transmission Power Control (ODTPC) is a well known transmission power control strategy that is used to reduce high power consumption in wireless sensor networks (WSNs). In this paper, we propose an extension to ODTPC and thus, a modified version of ODTPC is proposed named MODTPC. Simulation results show that performance of MODTPC is better than ODTPC in terms of efficiency and energy saving.

Image Processing – I: Spatial Domain Lossless Image Data Compression Method, Syed Ali Hassan, Mehdi Hussain

International Conference on Information and Communication Technologies

Images has very significant role in digital media. However, generally digital imaging generates large amounts of data it need to be compressed, without loss of relevant information or simply lossless compression. This paper presents a novel lossless image compression technique in spatial domain. The proposed algorithm divide the image into no. of blocks uses variable bits to store each block pixels. Calculation of variable bits is dependent on pixel values of each block. The advantage of proposed scheme, it is dependent upon pixels correlation with in a block. Experimental results show that our proposed algorithm gives better compression efficiency as …

Network Security: A Secure Architecture For Open Source Voip Solutions, Fahad Sattar, M. Hussain, Kashif Nisar

International Conference on Information and Communication Technologies

Voice over IP “VoIP” is a form of voice speech that uses data networks, for transmission of voice traffic over IP-based networks to transmit voice signals. The signal is correctly encoded at one end of the communication channel, sent as packets through the data network, then decoded at the receiving end and transformed back into a voice signal. It has a potential and offering a choice to the traditional telephony systems due to its high resource utilization and cost efficiency. Meanwhile, Wireless Local Area Networks (WLANs) have become an ever present networking technology that has been deployed around the world. …

Real-Time Divisible Load Scheduling For Cluster Computing, Anwar Mamat

School of Computing: Dissertations, Theses, and Student Research

Cluster computing has become an important paradigm for solving large-scale problems. However, as the size of a cluster increases, so does the complexity of resource management and maintenance. Therefore, automated performance control and re- source management are expected to play critical roles in sustaining the evolution of cluster computing. The current cluster scheduling practice is similar in sophistication to early supercomputer batch scheduling algorithms, and no consideration is given to desired quality-of-service (QoS) attributes. To fully avail the power of computational clusters, new scheduling algorithms that provides high performance, QoS assurance, fault-tolerance, energy savings and streamlined management of the cluster …

Networks - I: Interference Mitigation In 4g System Using Smart Antenna, Asad Ali Siddiqui, Muhammad Mazhar Manzoor, Aamir Ijaz, Adnan Umar Khan, Imran Ahmed Awan, Sangita Lal Chand

International Conference on Information and Communication Technologies

Emerging trends of mobile communication and ever growing demand of mobile users with high speed data requirements and migrating towards 4G, Co-Channel interference and multipath in urban/dense urban environment will limit the capacity of the network. Smart antenna is now recognized by its higher user capacity in 4G wireless networks by efficiently reducing multipath and co-channel interference. Smart Antenna use adaptive beam forming algorithms in a dynamic environment continuously adjusting the weight of antenna arrays for creating a beam to track desired users automatically, and minimize interference from other users by placing nulls in their directions. This research work provides …

Networks - I: An Optimal Mutual Authentication Scheme In Gsm Networks, Abdul Haleem, Muhammad Usman

International Conference on Information and Communication Technologies

GSM is one of the most dominating networks for wireless mobile communication. With the passage of time, financial institutions have started using this network for providing their services. Beginning from basic services like balance enquiry, the trend is increasing to provide financial transactions on mobile. This trend establishes the need of strengthening user authentication and requirement of network authentication as well. In this paper, we have proposed a mutual authentication approach using asymmetric cryptography. In the proposed technique, user and network are authenticated with minimal computation and signaling overhead.

Artificial Intelligence – I: A Preliminary Framework For Human-Agent Communication In Electronic Negotiations, Moez Ur Rehman, Nosheen Riaz

International Conference on Information and Communication Technologies

Electronic negotiations are business negotiations conducted via electronic means using information and communications technologies (ICT). Two dominant types of electronic negotiation systems are automated negotiation systems for software agents and negotiation support systems (NSSs) for humans. However, the integration of two types for human-agent negotiations is an important task. In this paper, an extended communication model for human-agent business negotiations is presented. For this purpose, the underlying communication models of automated negotiations and NSSs are analyzed. The extended communication model is based on a common negotiation ontology which captures the negotiation agenda and paves the way for such hybrid communication, …

Enhancement Of Optical Emission From Laser-Induced Plasmas By Combined Spatial And Magnetic Confinement, L. B. Guo, W. Hu, B. Y. Zhang, X. N. He, C. M. Li, Y. S. Zhou, Z. X. Cai, X. Y. Zeng, Yongfeng Lu

Department of Electrical and Computer Engineering: Faculty Publications

Within the past decades, laser-induced breakdown spectroscopy (LIBS) has become a well-established and powerful optical emission spectroscopy (OES) analytical technique [1–5]. As a useful analytical tool, LIBS is used extensively in various areas such as remote detection, hostile environment monitoring, and cultural heritage conservation [6–10]. Researchers are paying more attention to LIBS as a diagnostic method for elemental analysis as it is characterized by fast, real-time, in situ, low invasiveness, and multi-elemental diagnosis, normally without the need for sample preparation [11,12]. However, one of its major drawbacks is its low sensitivity, which seriously hinders further improving the limit of detection …

Apparatus For Dispensing Material, Peter Werner Sutter, Eli Anguelova Sutter

Department of Electrical and Computer Engineering: Faculty Publications

An apparatus capable of dispensing drops of material with volumes on the order of Zeptoliters is described. In some embodiments of the inventive pipette the size of the droplets so dispensed is determined by the size of a hole, or channel, through a carbon shell encapsulating a reservoir that contains material to be dispensed. The channel may be formed by irradiation with an electronbeam or other high-energy beam capable of focusing to a spot size less than about 5 nanom eters. In some embodiments, the dispensed droplet remains attached to the pipette by a small thread of material, an atomic …

Theoretical Explanation Of Bernstein Polynomials' Efficiency: They Are Optimal Combination Of Optimal Endpoint-Related Functions, Jaime Nava, Vladik Kreinovich

Departmental Technical Reports (CS)

In many applications of interval computations, it turned out to be beneficial to represent polynomials on a given interval [x_-, x₊] as linear combinations of Bernstein polynomials (x- x _- )^k * (x₊ - x)^n-k. In this paper, we provide a theoretical explanation for this empirical success: namely, we show that under reasonable optimality criteria, Bernstein polynomials can be uniquely determined from the requirement that they are optimal combinations of optimal polynomials corresponding to the interval's endpoints.

An Investigation Of Data Protection And Computer Security In Small Irish Medical Practices, Sean Mcgrath

Dissertations

Small medical practices store and process the health information of their patients in order to aid in providing care to them. Because of this a level of trust exists between the patients and the practice to ensure the sensitive medical data is kept private and secure. There was no formalised way to test if this trust was well deserved and what level of protection was applied to such sensitive health records. A security model that is applicable to small medical practices for the purpose of protecting and securing the personal health information they store was constructed and validated by a …

Super-Resolution For Imagery From Integrated Microgrid Polarimeters, Russell C. Hardie, Daniel A. Lemaster, Bradley M. Ratliff

Electrical and Computer Engineering Faculty Publications

Imagery from microgrid polarimeters is obtained by using a mosaic of pixel-wise micropolarizers on a focal plane array (FPA). Each distinct polarization image is obtained by subsampling the full FPA image. Thus, the effective pixel pitch for each polarization channel is increased and the sampling frequency is decreased. As a result, aliasing artifacts from such undersampling can corrupt the true polarization content of the scene. Here we present the first multi-channel multi-frame super-resolution (SR) algorithms designed specifically for the problem of image restoration in microgrid polarization imagers. These SR algorithms can be used to address aliasing and other degradations, without …

Why Neural Networks Are Computationally Efficient Approximators: An Explanation, Jaime Nava, Vladik Kreinovich

Departmental Technical Reports (CS)

Many real-life dependencies can be reasonably accurately described by linear functions. If we want a more accurate description, we need to take non-linear terms into account. To take nonlinear terms into account, we can either explicitly add quadratic terms to the regression equation, or, alternatively, we can use a neural network with a non-linear activation function. At first glance, regression algorithms would work faster, but in practice, often, a neural network approximation turns out to be a more computationally efficient one. In this paper, we provide a reasonable explanation for this empirical fact.

Towards Fast And Accurate Algorithms For Processing Fuzzy Data: Interval Computations Revisited, Gang Xiang, Vladik Kreinovich

Departmental Technical Reports (CS)

A Study On Facility Planning Using Discrete Event Simulation: Case Study Of A Grain Delivery Terminal, Sarah M. Asio

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

The application of traditional approaches to the design of efficient facilities can be tedious and time consuming when uncertainty and a number of constraints exist. Queuing models and mathematical programming techniques are not able to capture the complex interaction between resources, the environment and space constraints for dynamic stochastic processes. In the following study discrete event simulation is applied to the facility planning process for a grain delivery terminal. The discrete event simulation approach has been applied to studies such as capacity planning and facility layout for a gasoline station and evaluating the resource requirements for a manufacturing facility. To …

Maximum Likelihood Approach To Pointwise Estimation In Statistical Data Processing Under Interval Uncertainty, Nitaya Buntao, Sa-Aat Niwitpong, Vladik Kreinovich

Departmental Technical Reports (CS)

Traditional statistical estimates C(x₁, ..., x_n) for different statistical characteristics (such as mean, variance, etc.) implicitly assume that we know the sample values x₁, ..., x_n exactly. In practice, the sample values X_i come from measurements and are, therefore, in general, different from the actual (unknown) values X_i of the corresponding quantities. Sometimes, we know the probabilities of different values of the measurement error ΔX_i = X_i - x_i, but often, the only information that we have about the measurement error is the upper bound Δ_{i …}

A Reservation-Based Smart Parking System, Hongwei Wang

School of Computing: Dissertations, Theses, and Student Research

In metropolitan areas, parking management influences drivers search time and cost for parking spaces, parking revenue, and traffic congestion. The wide deployment of wireless parking meters with sensing and communications capabilities allows the parking authority to monitor the state of each parking space in real time and optimize the parking management.

In this thesis, we study state-of-the-art parking policies in smart parking systems, and show that the smart parking system needs to be "smarter". Our design goals of the smart parking systems include: (1) simplify the operations of parking systems, (2) improve drivers' satisfaction, (3) increase parking revenue, and (4) …

Ceg 260-01: Digital Computer Hardware, Travis E. Doom

Computer Science & Engineering Syllabi

Digital Computer Hardware. Topics include switching algebra and switching functions, logic design of combinational and sequential circuits using T1L, combinational logic design with MSI and LSI, busing, storage elements, and instrumentation. 3 hours lecture, 2 hours lab. Prerequisite: CS 241.

Cs 141: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Introduction to use of computers as a problem-solving tool. Examples from and applications to a broad range of problems. Methodology for algorithm design and for structured modular implementation is stressed. Three hours lecture, two hours lab.

Cs 240: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced.
Emphasis is on problem solving and object oriented programming. This course provides a general introduction to the fundamentals of computer science and programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language.

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modern multi-paradigm programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., scheme). The former is an exemplar of a language for programming-in-the-large, while the latter is an exemplar of programming-in-the-small. The overall goal is to enable comparison and evaluation of existing languages. 1he programming assignments will be coded in Java and in Scheme.

Cs 205: Introduction To Computers And Office Productivity Software, Amanda Hood

Computer Science & Engineering Syllabi

Focus on learning MS Office 2010 software applications including word processing (intermediate), spreadsheets, databases, and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

Cs 242: Computer Programming Iii, Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

Cs 415: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.