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Articles 1951 - 1980 of 29924
Full-Text Articles in Entire DC Network
Modeling 3d Articulated Motions With Conformal Geometry Videos (Cgvs), Dao T. P. Quynh, Ying He, Xiaoming Chen, Jiazhi Xia, Qian Sun, Steven C. H. Hoi
Modeling 3d Articulated Motions With Conformal Geometry Videos (Cgvs), Dao T. P. Quynh, Ying He, Xiaoming Chen, Jiazhi Xia, Qian Sun, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
3D articulated motions are widely used in entertainment, sports, military, and medical applications. Among various techniques for modeling 3D motions, geometry videos (GVs) are a compact representation in that each frame is parameterized to a 2D domain, which captures the 3D geometry (x, y, z) to a pixel (r, g, b) in the image domain. As a result, the widely studied image/video processing techniques can be directly borrowed for 3D motion. This paper presents conformal geometry videos (CGVs), a novel extension of the traditional geometry videos by taking into the consideration of the isometric nature of 3D articulated motions. We …
Towards Failure Free Design: An Analysis Of Risk Mitigation Communication, Daniel Krus, Katie Grantham
Towards Failure Free Design: An Analysis Of Risk Mitigation Communication, Daniel Krus, Katie Grantham
Engineering Management and Systems Engineering Faculty Research & Creative Works
In order to ensure that risk mitigation strategies are properly communicated to and understood by those who would use them in future designs, a common language of risk mitigation should exist. This paper focuses on a set of elements for describing risk mitigation strategies based on a linguistic analysis of the information such strategies must communicate to the design team. Sample strategies are then decomposed into these attributes and evaluated using the Gricean cooperation principle, relevance theory, and functional analysis theories from the pragmatics sub-field of linguistics. using the deficiencies found from this analysis, a format for risk mitigation strategies …
Stochastic Policy Search For Variance-Penalized Semi-Markov Control, Abhijit Gosavi, Mandar Purohit
Stochastic Policy Search For Variance-Penalized Semi-Markov Control, Abhijit Gosavi, Mandar Purohit
Engineering Management and Systems Engineering Faculty Research & Creative Works
The variance-penalized metric in Markov decision processes (MDPs) seeks to maximize the average reward minus a scalar time the variance of rewards. in this paper, our goal is to study the same metric in the context of the semi-Markov decision process (SMDP). in the SMDP, unlike the MDP, the time spent in each transition is not identical and may in fact be a random variable. We first develop an expression for the variance of rewards in the SMDPs, and then formulate the VP-SMDP. Our interest here is in solving the problem without generating the underlying transition probabilities of the Markov …
Executable System Architecting Using Systems Modeling Language In Conjunction With Colored Petri Nets In A Model-Driven Systems Development Process, Renzhong Wang, Cihan H. Dagli
Executable System Architecting Using Systems Modeling Language In Conjunction With Colored Petri Nets In A Model-Driven Systems Development Process, Renzhong Wang, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
This work proposes an executable system architecting paradigm for discrete-event system modeling and analysis through integration of a set of modeling tools, executable formalisms, analytical tools, and animation tools. the essential step is converting SysML-Based specifications into colored Petri nets through a conversion scheme proposed here. Such a paradigm permits rigorous static and dynamic system analysis, as well as formal verification of the behavior and functionality of the SysML-Based design. This paper also compares the capabilities of the proposed executable system architecting paradigm with other executable formalisms. Further, it discusses the basic principles of executable architecture specification and analysis for …
Methodology For Behavioral-Based Malware Analysis And Detection Using Random Projections And K-Nearest Neighbors Classifiers, Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse
Methodology For Behavioral-Based Malware Analysis And Detection Using Random Projections And K-Nearest Neighbors Classifiers, Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
In This Paper, a Two-Stage Methodology to Analyze and Detect Behavioral-Based Malware is Presented. in the First Stage, a Random Projection is Decreasing the Variable Dimensionality of the Problem and is Simultaneously Reducing the Computational Time of the Classification Task by Several Orders of Magnitude. in the Second Stage, a Modified K-Nearest Neighbors Classifier is Used with Virus total Labeling of the File Samples. This Methodology is Applied to a Large Number of File Samples Provided by F-Secure Corporation, for Which a Dynamic Feature Has Been Extracted during Deep guard Sandbox Execution. as a Result, the Files Classified as False …
Jonathan Swift At Work, Bob De Smith
Ananias Walks Home, Bob De Smith
Rather Enjoying Myself, Thanks, Bob De Smith
Warriors, Shades, And Nymph, Mary Dengler
Richard Iii, Mary Dengler
Single-Heartedness, David Schelhaas
Leaves In The Wind, David Schelhaas
Sixth Street Symphony, Leah A. Zuidema
Scratch Tickets, Howard Schaap
Tee Ball, Howard Schaap
Ring-Necked Pheasant, Howard Schaap
On The Death Of A Church Musician, Mike Vanden Bosch
On The Death Of A Church Musician, Mike Vanden Bosch
Pro Rege
"For Kim (Vanden Bosch) Wolffis and church musicians around God's world."
Stubbornness, James C. Schaap
Of No Fixed Address, Bill Elgersma
Bruised Reeds, James C. Schaap
Work In Progress - Exercises In Squeak Smalltalk For Pre-College Education, Steve Eugene Watkins, Nicolette Kowalewski, Kathryn N. Rodhouse, Benjamin Cooper
Work In Progress - Exercises In Squeak Smalltalk For Pre-College Education, Steve Eugene Watkins, Nicolette Kowalewski, Kathryn N. Rodhouse, Benjamin Cooper
Electrical and Computer Engineering Faculty Research & Creative Works
Computer programming education helps to prepare pre-college students to function in a technology-based society and to promote technical careers. However, opportunities are limited for pre-college students to learn computer programming and effective programming instruction can be difficult. A set of introductory, self-paced tutorials in Squeak Smalltalk has been developed for students in high school and middle school. This work describes two supplementary exercises that address the needs of new learners, especially those at younger ages. Students are given tools for drawing and image manipulation. The optional exercises integrate basic concepts while allowing more interactivity and customization through creative "play." © …
Work In Progress - Virtual Facilitation And Procedural Knowledge Education, Ray Luechtefeld, Steve Eugene Watkins
Work In Progress - Virtual Facilitation And Procedural Knowledge Education, Ray Luechtefeld, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
Engineering students acquire both conceptual and procedural knowledge as part of their education. While conceptual knowledge, such as understanding why certain design practices are required or having knowledge of the general principles of engineering development, is essential, procedural knowledge to enact specific engineering practices is also needed. This kind of knowledge, such as balancing chemical equations, solving calculus problems, or finding Thevenin-Norton equivalents, is usually taught through rote problem solving, sometimes with the guidance of teaching assistants or aid from the instructor if students find themselves "stuck". However, a Virtual Facilitator, designed to help students develop team skills, can also …
Distribution Lmp-Based Economic Operation For Future Smart Grid, Fanjun Meng, Badrul H. Chowdhury
Distribution Lmp-Based Economic Operation For Future Smart Grid, Fanjun Meng, Badrul H. Chowdhury
Electrical and Computer Engineering Faculty Research & Creative Works
A new methodology for calculating the distribution locational marginal prices (D-LMP) with distributed multi-agent paradigm is presented. the proposed D-LMP employs an optimal power flow methodology to evaluate the marginal energy component, especially for renewable generations, as well as the marginal congestion and loss components, which are critical for the valuation and settlement purposes. It is also illustrated that the D-LMP can be used as pricing signal to achieve maximum system social surplus and encourage distributed renewable energy penetration in distribution system. © 2011 IEEE.
Comparison Of A Recurrent Neural Network Pv System Model With A Traditional Component-Based Pv System Model, Daniel M. Riley, Ganesh K. Venayagamoorthy
Comparison Of A Recurrent Neural Network Pv System Model With A Traditional Component-Based Pv System Model, Daniel M. Riley, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Photovoltaic (PV) system modeling is used throughout the photovoltaic industry for the prediction of PV system output under a given set of weather conditions. PV system modeling has a wide range of uses including pre-purchase comparisons of PV system components, system health monitoring, and estimation of payback (return on investment) times. in order to adequately model a PV system, the system must be characterized to establish the relationship between given weather inputs (e.g., irradiance, spectrum, temperature) and desired system outputs (e.g., AC power, module temperature). Traditional approaches to system characterization involve characterizing and modeling each component in a PV system …
Optimized Built-In Self-Test Technique For Caen-Based Nanofabric Systems, Sambhav Kundaikar, Maciej Zawodniok
Optimized Built-In Self-Test Technique For Caen-Based Nanofabric Systems, Sambhav Kundaikar, Maciej Zawodniok
Electrical and Computer Engineering Faculty Research & Creative Works
We propose a built-in self-test (BIST) technique for testing and diagnosis of molecular electronic based nano fabrics. the nano fabric architectures are reconfigurable in nature thus making it possible to utilize general methods similar to those employed for testing of FPGAs. However, a high defect rate in nano fabrics renders the traditional techniques ill-suited. Moreover, the nano blocks offer potential for using a partially damaged nano block due to inherent redundancy of the architecture. This paper presents the design and analysis of testing configurations and optimization scheme that minimizes testing time while improving the utilization of the nano fabric. the …
Localization Of Objects Using Cross-Correlation Of Shadow Fading Noise And Copulas, Mohammed Rana Basheer, Sarangapani Jagannathan
Localization Of Objects Using Cross-Correlation Of Shadow Fading Noise And Copulas, Mohammed Rana Basheer, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
While fading, in general, is detrimental to accurately localizing a target, fading correlation between adjacent receivers may be exploited to improve localization accuracy. Therefore, this paper presents a novel wireless localization scheme that employs a combination of cross-correlation between shadow fading noise and copula technique to recursively estimate the location of a transmitter. a stochastic filter that models multipath fading as an Ornstein-Uhlenbeck process followed by a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) filtering is proposed to extract shadow fading residuals from measured RSSI values. Subsequently, Student-t Copula function is used to create the log likelihood function, which acts as …
Contingency Constrained Economic Dispatch In Smart Grids With Correlated Demands, Yiyu Shi, Jinjun Xiong
Contingency Constrained Economic Dispatch In Smart Grids With Correlated Demands, Yiyu Shi, Jinjun Xiong
Electrical and Computer Engineering Faculty Research & Creative Works
Contingency constrained economic dispatch has been an extensively studied research topic. However, most existing works assume that the load demands at all buses are given. Such an assumption works well for conventional power grids, where the load demands are relatively easy to predict. We can select a few representative demand profiles and perform economic dispatch over them. However, such a practice will no longer work in smart grids, where the load demands fluctuate dramatically. We will need a huge number of demand profiles to cover all possible scenarios, which is computationally expensive. to address the problem, we propose a parameterized …
Soft-Decision Feedback Turbo Equalization For Multilevel Modulations, Huang Lou, Chengshan Xiao
Soft-Decision Feedback Turbo Equalization For Multilevel Modulations, Huang Lou, Chengshan Xiao
Electrical and Computer Engineering Faculty Research & Creative Works
Error propagation phenomena is the major drawback for existing hard-decision feedback turbo equalizers. in this paper, we propose a new soft-decision feedback equalizer (SDFE) suitable for multilevel modulation systems employing turbo equalization. the proposed SDFE offers a low computational complexity growing only linearly with the number of equalizer coefficients, as opposed to the quadratic complexity of MMSE-Based linear turbo equalizer with time-varying coefficients (Exact-MMSE-LE). the performance and convergence property of the proposed SDFE are analyzed using extrinsic information transfer (EXIT) chart and verified by simulations in a severe InterSymbol interference channel set by Proakis. Results show that our approach performs …
Linear Precoding For Mimo Multiple Access Channels With Discrete-Constellation Inputs, Mingxi Wang, Weiliang Zeng, Chengshan Xiao
Linear Precoding For Mimo Multiple Access Channels With Discrete-Constellation Inputs, Mingxi Wang, Weiliang Zeng, Chengshan Xiao
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we study linear precoding for multiple-input multiple-output (MIMO) multiple access channels (MAC) with discrete-constellation inputs. We derive the constellation-constrained capacity region for the MIMO MAC with an arbitrary number of users. Due to the non-concavity of the objective function, we obtain the necessary conditions for the weighted sum rate (WSR) maximization problem through Karush-Kuhn-Tucker (KKT) analysis. to find the optimal precoding matrices, we propose an iterative algorithm utilizing alternating optimization strategy and gradient descent update. Numerical results show that when inputs are digital modulated signals and the signal-to-noise ratio (SNR) is in the medium range, our proposed …
3d Image Reconstruction From Sparse Measurement Of Wideband Millimeter Wave Sar Experiments, Hamed Kajbaf, Joseph T. Case, Yahong Rosa Zheng
3d Image Reconstruction From Sparse Measurement Of Wideband Millimeter Wave Sar Experiments, Hamed Kajbaf, Joseph T. Case, Yahong Rosa Zheng
Electrical and Computer Engineering Faculty Research & Creative Works
Nonuniform random sampling is applied to a wideband 3D synthetic aperture radar (SAR) imaging system to reduce the number of measurement points in both frequency and space domains. Experimental tests were performed on a construction foam specimen using uniformly sampled Q-band frequencies in 35.04 GHz to 44.96 GHz and at a grid of two-millimeter step sizes. using discrete Fourier transform (DFT) or discrete cosine transform (DCT) sparse representations, the 3D images can be reconstructed from 7% random samples of the experimental data achieving comparable quality as the one from original full-set data. This can translate to significant time reduction of …