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Articles 18031 - 18060 of 25750
Full-Text Articles in Engineering
Difficulties And Opportunities In Building Resilient Clinical Monitoring Systems With Wireless Sensor Networks, Rahav Dor
All Theses and Dissertations (ETDs)
No abstract provided.
Solving The Search For Source Code, Kathryn T. Stolee
Solving The Search For Source Code, Kathryn T. Stolee
School of Computing: Dissertations, Theses, and Student Research
Programmers frequently search for source code to reuse using keyword searches. When effective and efficient, a code search can boost programmer productivity, however, the search effectiveness depends on the programmer's ability to specify a query that captures how the desired code may have been implemented. Further, the results often include many irrelevant matches that must be filtered manually. More semantic search approaches could address these limitations, yet existing approaches either do not scale, are not flexible enough to find approximate matches, or require complex specifications.
We propose a novel approach to semantic search that addresses some of these limitations and …
User Modeling Via Machine Learning And Rule-Based Reasoning To Understand And Predict Errors In Survey Systems, Leonard Cleve Stuart
User Modeling Via Machine Learning And Rule-Based Reasoning To Understand And Predict Errors In Survey Systems, Leonard Cleve Stuart
School of Computing: Dissertations, Theses, and Student Research
User modeling is traditionally applied to systems were users have a large degree of control over their goals, the content they view, and the manner in which they navigate through the system. These systems aim to both recommend useful goals to users and to assist them in achieving perceived goals. Systems such as online or telephone surveys are different in that users have only a singular goal of survey completion, extremely limited control over navigation, and content is restricted to prescribed set of survey tasks; changing the user modeling problem to one in which the best means of assisting users …
Segmentation And Model Generation For Large-Scale Cyber Attacks, Steven E. Strapp
Segmentation And Model Generation For Large-Scale Cyber Attacks, Steven E. Strapp
Theses
Raw Cyber attack traffic can present more questions than answers to security analysts. Especially with large-scale observables it is difficult to identify which packets are relevant and what attack behaviors are present. Many existing works in Host or Flow Clustering attempt to group similar behaviors to expedite analysis; these works often phrase the problem directly as offline unsupervised machine learning. This work proposes online processing to simultaneously model coordinating actors and segment traffic that is relevant to a target of interest, all while it is being received. The goal is not just to aggregate similar attack behaviors, but to provide …
Analysis Of Parameter Tuning On Energy Efficiency In Asynchronous Circuits, Justin Thomas Roark
Analysis Of Parameter Tuning On Energy Efficiency In Asynchronous Circuits, Justin Thomas Roark
Graduate Theses and Dissertations
Power and energy consumption are the primary concern of the digital integrated circuit (IC) industry. Asynchronous logic, in the past several years, has increased in popularity due to its low power nature. This thesis analyzes a collection of array multipliers with different parameters to compare two asynchronous design paradigms, NULL Convention Logic (NCL) and Multi-Threshold NULL Convention Logic (MTNCL). Several commercially available pieces of software and custom scripts are used to analyze the asynchronous circuits and their components to provide the energy consumption estimation on various parts of each circuit. The analysis of the software results revealed that MTNCL circuits …
High-Performance, Scalable Optical Network-On-Chip Architectures, Xianfang Tan
High-Performance, Scalable Optical Network-On-Chip Architectures, Xianfang Tan
UNLV Theses, Dissertations, Professional Papers, and Capstones
The rapid advance of technology enables a large number of processing cores to be integrated into a single chip which is called a Chip Multiprocessor (CMP) or a Multiprocessor System-on-Chip (MPSoC) design. The on-chip interconnection network, which is the communication infrastructure for these processing cores, plays a central role in a many-core system. With the continuously increasing complexity of many-core systems, traditional metallic wired electronic networks-on-chip (NoC) became a bottleneck because of the unbearable latency in data transmission and extremely high energy consumption on chip. Optical networks-on-chip (ONoC) has been proposed as a promising alternative paradigm for electronic NoC with …
An End To End V.M.T Framework With Controlled V.M.T Tax Rate Using Optimal Feedback Control Technique, Pratik Verma
An End To End V.M.T Framework With Controlled V.M.T Tax Rate Using Optimal Feedback Control Technique, Pratik Verma
UNLV Theses, Dissertations, Professional Papers, and Capstones
Vehicle Mile Travel (VMT) is a study related to available alternatives for the road
revenue collection system. As per the demand, the existing Gas/Fuel tax based revenue
collection system is not found an appropriate option in the longer run. Due
to existing system constraints like: no eective tax process for vehicles based on alternative
fuel (e.g. electric vehicles), no eective changes in tax due to economical
ination, and more highway expenditure than generated revenue, an alternative revenue
collection mechanism is required. Hence, the objective is to study an alternative
option in detail, which can address the gaps between required revenue …
Near-Duplicate Video Retrieval: Current Research And Future Trends, Jiajun Liu, Zi Huang, Hongyun Cai, Heng Tao Shen, Chong-Wah Ngo, Wei Wang
Near-Duplicate Video Retrieval: Current Research And Future Trends, Jiajun Liu, Zi Huang, Hongyun Cai, Heng Tao Shen, Chong-Wah Ngo, Wei Wang
Research Collection School Of Computing and Information Systems
The exponential growth of online videos, along with increasing user involvement in video-related activities, has been observed as a constant phenomenon during the last decade. User's time spent on video capturing, editing, uploading, searching, and viewing has boosted to an unprecedented level. The massive publishing and sharing of videos has given rise to the existence of an already large amount of near-duplicate content. This imposes urgent demands on near-duplicate video retrieval as a key role in novel tasks such as video search, video copyright protection, video recommendation, and many more. Driven by its significance, near-duplicate video retrieval has recently attracted …
Click-Boosting Random Walk For Image Search Reranking, Xiaopeng Yang, Yongdong Zhang, Ting Yao, Zheng-Jun Zha, Chong-Wah Ngo
Click-Boosting Random Walk For Image Search Reranking, Xiaopeng Yang, Yongdong Zhang, Ting Yao, Zheng-Jun Zha, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Image reranking is an effective way for improving the retrieval performance of keyword-based image search engines. A fundamental issue underlying the success of existing image reranking approaches is the ability in identifying potentially useful recurrent patterns or relevant training examples from the initial search results. Ideally, these patterns and examples can be leveraged to upgrade the ranks of visually similar images, which are also likely to be relevant. The challenge, nevertheless, originates from the fact that keyword-based queries are used to be ambiguous, resulting in difficulty in predicting the search intention. Mining useful patterns and examples without understanding query is …
An Agent-Based Network Analytic Perspective On The Evolution Of Complex Adaptive Supply Chain Networks, L. Ponnambalam, A. Tan, X. Fu, X. F. Yin, Zhaoxia Wang, R. S. Goh
An Agent-Based Network Analytic Perspective On The Evolution Of Complex Adaptive Supply Chain Networks, L. Ponnambalam, A. Tan, X. Fu, X. F. Yin, Zhaoxia Wang, R. S. Goh
Research Collection School Of Computing and Information Systems
Supply chain networks of modern era are complex adaptive systems that are dynamic and highly interdependent in nature. Business continuity of these complex systems depend vastly on understanding as to how the supply chain network evolves over time (based on the policies it adapts), and identifying the susceptibility of the evolved networks to external disruptions. The objective of this article is to illustrate as to how an agent-based network analytic perspective can aid this understanding on the network-evolution dynamics, and identification of disruption effects on the evolved networks. To this end, we developed a 4-tier agent based supply chain model …
Cross-Layer Optimized Wireless Video Surveillance, Yun Ye
Cross-Layer Optimized Wireless Video Surveillance, Yun Ye
Department of Computer Electronics and Engineering: Dissertations, Theses, and Student Research
A wireless video surveillance system contains three major components, the video capture and preprocessing, the video compression and transmission over wireless sensor networks (WSNs), and the video analysis at the receiving end. The coordination of different components is important for improving the end-to-end video quality, especially under the communication resource constraint. Cross-layer control proves to be an efficient measure for optimal system configuration. In this dissertation, we address the problem of implementing cross-layer optimization in the wireless video surveillance system.
The thesis work is based on three research projects. In the first project, a single PTU (pan-tilt-unit) camera is used …
An Efficient Cost Function For The Optimization Of An N-Layered Isotropic Cloaked Cylinder, Jason V. Paul, Peter J. Collins, Ronald A. Coutu Jr.
An Efficient Cost Function For The Optimization Of An N-Layered Isotropic Cloaked Cylinder, Jason V. Paul, Peter J. Collins, Ronald A. Coutu Jr.
Electrical and Computer Engineering Faculty Research and Publications
In this paper, we present an efficient cost function for optimizing n-layered isotropic cloaked cylinders. Cost function efficiency is achieved by extracting the expression for the angle independent scatterer contribution of an associated Green's function. Therefore, since this cost function is not a function of angle, accounting for every bistatic angle is not necessary and thus more efficient than other cost functions. With this general and efficient cost function, isotropic cloaked cylinders can be optimized for many layers and material parameters. To demonstrate this, optimized cloaked cylinders made of 10, 20 and 30 equal thickness layers are presented for …
Accuracy Improvement Of Quantitative Analysis By Spatial Confinement In Laser-Induced Breakdown Spectroscopy, L. B. Guo, Z. Q. Hao, M. Shen, W. Xiong, X. N. He, Z. Q. Xie, M. Gao, X. Y. Li, X. Y. Zeng, Yongfeng Lu
Accuracy Improvement Of Quantitative Analysis By Spatial Confinement In Laser-Induced Breakdown Spectroscopy, L. B. Guo, Z. Q. Hao, M. Shen, W. Xiong, X. N. He, Z. Q. Xie, M. Gao, X. Y. Li, X. Y. Zeng, Yongfeng Lu
Department of Electrical and Computer Engineering: Faculty Publications
To improve the accuracy of quantitative analysis in laser-induced breakdown spectroscopy, the plasma produced by a Nd:YAG laser from steel targets was confined by a cavity. A number of elements with low concentrations, such as vanadium (V), chromium (Cr), and manganese (Mn), in the steel samples were investigated. After the optimization of the cavity dimension and laser fluence, significant enhancement factors of 4.2, 3.1, and 2.87 in the emission intensity of V, Cr, and Mn lines, respectively, were achieved at a laser fluence of 42.9 J/cm2 using a hemispherical cavity (diameter: 5 mm). More importantly, the correlation coefficient of the …
Rnn Language Model With Word Clustering And Class-Based Output Layer, Yongzhe Shi, Wei-Qiang Zhang, Jia Liu, Michael T. Johnson
Rnn Language Model With Word Clustering And Class-Based Output Layer, Yongzhe Shi, Wei-Qiang Zhang, Jia Liu, Michael T. Johnson
Electrical and Computer Engineering Faculty Research and Publications
The recurrent neural network language model (RNNLM) has shown significant promise for statistical language modeling. In this work, a new class-based output layer method is introduced to further improve the RNNLM. In this method, word class information is incorporated into the output layer by utilizing the Brown clustering algorithm to estimate a class-based language model. Experimental results show that the new output layer with word clustering not only improves the convergence obviously but also reduces the perplexity and word error rate in large vocabulary continuous speech recognition.
Advancements And Challenges Towards A Collaborative Framework For 3d Tele-Immersive Social Networking, Davide Andrea Mauro, N. E. O’Connor, D. Monaghan, Marc Gowing, P. Fechteler, P. Eisert, J. Wall, E. Izquierdo, D. S. Alexiadis, P. Daras, R. Mekuria, P. Cesar
Advancements And Challenges Towards A Collaborative Framework For 3d Tele-Immersive Social Networking, Davide Andrea Mauro, N. E. O’Connor, D. Monaghan, Marc Gowing, P. Fechteler, P. Eisert, J. Wall, E. Izquierdo, D. S. Alexiadis, P. Daras, R. Mekuria, P. Cesar
Computer Sciences and Electrical Engineering Faculty Research
Social experiences realized through teleconferencing systems are still quite different from face to face meetings. The awareness that we are online and in a, to some extent, lesser real world are preventing us from really engaging and enjoying the event. Several reasons account for these differences and have been identified. We think it is now time to bridge these gaps and propose inspiring and innovative solutions in order to provide realistic, believable and engaging online experiences. We present a distributed and scalable framework named REVERIE that faces these challenges and provides a mix of these solutions. Applications built on top …
Interdisciplinary Undergraduate Student-Faculty Research: Bridging Information Systems And Strategic Management, Miguel Toimil, Namchul Shin, Alan Eisner
Interdisciplinary Undergraduate Student-Faculty Research: Bridging Information Systems And Strategic Management, Miguel Toimil, Namchul Shin, Alan Eisner
Cornerstone 3 Reports : Interdisciplinary Informatics
No abstract provided.
Cs 3100: Data Structures And Algorithms, Erik Marlow Buck
Cs 3100: Data Structures And Algorithms, Erik Marlow Buck
Computer Science & Engineering Syllabi
Student learning outcomes include:
- Analyze basic algorithms for space and time complexity
- Design abstract data types appropriate for a given problem
- Implement data structures in an efficient manner
- Design and Implement non-graphical user-interfaces
- Select and implement appropriate data structures for a given problem
- Design algorithms to solve specific problems
Cs 1161: Introduction To Computer Programming Ii, Vanessa Starkey
Cs 1161: Introduction To Computer Programming Ii, Vanessa Starkey
Computer Science & Engineering Syllabi
Introduction to advanced programming concepts and techniques. Emphasis is on object-oriented programming and graphical user interfaces. Integrated lecture/lab.
Cs 3180/5180: Comparative Languages, Krishnaprasad Thirunarayan
Cs 3180/5180: Comparative Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java, C#, C++), a functional language (e.g. Scheme), and get introduced to multiparadigm languages (e.g. Python, Scala). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will largely be coded in Java and in Racket (formerly, Scheme) and optionally in Python or Scala.
Cs 4000: Social Implications Of Computing, Leo Finkelstein
Cs 4000: Social Implications Of Computing, Leo Finkelstein
Computer Science & Engineering Syllabi
CS 4000 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.
Cs 7840: Soft Computing, John C. Gallagher
Cs 7840: Soft Computing, John C. Gallagher
Computer Science & Engineering Syllabi
This course explores soft computation from historical, theoretical, and application viewpoints. Soft computing methods to be considered include evolutionary computation, neural computation, fuzzy set theory, and approximate reasoning. Applications to problems in optimization, control, and classification will be presented.
Cs 1181: Computer Science Ii, Dan C. Wlodarski
Cs 1181: Computer Science Ii, Dan C. Wlodarski
Computer Science & Engineering Syllabi
This is the second course in a two-semester sequence introducing fundamental concepts and techniques for computer science and engineering. The course focuses on problem analysis, advanced programming concepts using JAVA and fundamental data structures. Students learn to analyze problems and evaluate potential solutions with respect to choice of data structures and computational efficiency. Student are exposed to the underlying implementation of basic data structures available in JAVA libraries and develop the skilled needs to extend existing data structures and design new data structures to solve increasingly complex problems. This is an integrated writing course.
Ceg 4422/6422-01: Secure Computing Practices, Bin Wang
Ceg 4422/6422-01: Secure Computing Practices, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 7700: Advanced Database Systems, Soon M. Chung
Cs 7700: Advanced Database Systems, Soon M. Chung
Computer Science & Engineering Syllabi
Introduction of DB design concepts and operating principles of database systems.
Adaptive Ofdm For Wireless Interconnect In Confined Enclosures, Vit Sipal, Javier Gelabert, Christopher J. Stevens, Ben Allen, David Edwards
Adaptive Ofdm For Wireless Interconnect In Confined Enclosures, Vit Sipal, Javier Gelabert, Christopher J. Stevens, Ben Allen, David Edwards
Articles
This letter considers and recommends OFDM with adaptive subcarrier modulation as a suitable candidate for wireless UWB communication in computer chassis. A rigorous measurement campaign studies the guaranteed spectral efficiency. It concludes that enhancement of the existing WiMedia OFDM systems with a bandwidth of 528 MHz in order to support adaptive OFDM would enable data-rates above 1 Gbps over short ranges, i.e. the spectral efficiency would be doubled. Moreover, the guaranteed spectral efficiency is shown to increase with bandwidth, i.e. the guaranteed data-rate increases better than linearly with bandwidth.
Factors Leading To Decentralization Of Ict Companies: The Case Of Multimedia Super Corridor, Malaysia, Muhammad Asim Tufail, Abu Hassan Abu Bakar, Wiwied Virgiyanti, Faisal Manzoor Arain
Factors Leading To Decentralization Of Ict Companies: The Case Of Multimedia Super Corridor, Malaysia, Muhammad Asim Tufail, Abu Hassan Abu Bakar, Wiwied Virgiyanti, Faisal Manzoor Arain
Business Review
Technological development in the information and communication technologies (ICT) sector is essential to attain sustainability in today’s era. Cities have developed satellite towns at the periphery with hi-fidelity digital and physical infrastructure which converts a single cantered city into a multi cantered one. In case of Kuala Lumpur Metropolitan Area (KLMA) the shift of civic services to Putrajaya and development of Multimedia Super Corridor (MSC) which offers incentives to local and foreign companies to develop a super block of research and development based economic sector. This development spearheaded the Malaysian Vision 2020 of knowledge based economy and society and has …
Robust And Resilient Finite-Time Bounded Control Of Discrete-Time Uncertain Nonlinear Systems, Mohammad N. Elbsat, Edwin E. Yaz
Robust And Resilient Finite-Time Bounded Control Of Discrete-Time Uncertain Nonlinear Systems, Mohammad N. Elbsat, Edwin E. Yaz
Electrical and Computer Engineering Faculty Research and Publications
Finite-time state-feedback stabilization is addressed for a class of discrete-time nonlinear systems with conic-type nonlinearities, bounded feedback control gain perturbations, and additive disturbances. First, conditions for the existence of a robust and resilient linear state-feedback controller for this class of systems are derived. Then, using linear matrix inequality techniques, a solution for the controller gain and the maximum allowable bound on the gain perturbation is obtained. The developed controller is robust for all unknown nonlinearities lying in a known hypersphere with an uncertain center and all admissible disturbances. Moreover, it is resilient against any bounded perturbations that may alter the …
Continuous Modulations Of Femtosecond Laserinduced Periodic Surface Structures And Scanned Line-Widths On Silicon By Polarization Changes, Weina Han, Lan Jiang, Xiaowei Li, Pengjun Liu, Le Xu, Yongfeng Lu
Continuous Modulations Of Femtosecond Laserinduced Periodic Surface Structures And Scanned Line-Widths On Silicon By Polarization Changes, Weina Han, Lan Jiang, Xiaowei Li, Pengjun Liu, Le Xu, Yongfeng Lu
Department of Electrical and Computer Engineering: Faculty Publications
Large-area, uniform laser-induced periodic surface structures (LIPSS) are of wide potential industry applications. The continuity and processing precision of LIPSS are mainly determined by the scanning intervals of adjacent scanning lines. Therefore, continuous modulations of LIPSS and scanned line-widths within one laser scanning pass are of great significance. This study proposes that by varying the laser (800 nm, 50 fs, 1 kHz) polarization direction, LIPSS and the scanned line-widths on a silicon (111) surface can be continuously modulated with high precision. It shows that the scanned line-width reaches the maximum when the polarization direction is perpendicular to the scanning direction. …
A Multi-Configuration Display Methodology Incorporating Reflection For Real-Time Haptic-Interactive Virtual Environments, Mohammad F. Obeid
A Multi-Configuration Display Methodology Incorporating Reflection For Real-Time Haptic-Interactive Virtual Environments, Mohammad F. Obeid
Computational Modeling & Simulation Engineering Theses & Dissertations
There is a natural need for real-time min-or reflection in many interactive virtual reality applications to achieve visuo-haptic collocation through optical reflection. Its use, however, calls for adjustments to the original model since a mirror reverses image characteristics. This thesis introduces a design and implementation of a generic configuration component for virtual environments that adjusts image characteristics and haptic interfaces to accommodate various display setups while preserving the correct orientation and properties of the original models in the graphical scene. Four different but related approaches were developed for image connection and are compared and contrasted against primary criteria. The haptic …
Http Mailbox - Asynchronous Restful Communication, Sawood Alam
Http Mailbox - Asynchronous Restful Communication, Sawood Alam
Computer Science Theses & Dissertations
Traditionally, general web services used only the GET and POST methods of HTTP while several other HTTP methods like PUT, PATCH, and DELETE were rarely utilized. Additionally, the Web was mainly navigated by humans using web browsers and clicking on hyperlinks or submitting HTML forms. Clicking on a link is always a GET request while HTML forms only allow GET and POST methods. Recently, several web frameworks/libraries have started supporting RESTful web services through APIs. To support HTTP methods other than GET and POST in browsers, these frameworks have used hidden HTML form fields as a workaround to convey the …