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3rd European Conference on Multimedia Applications, Services and Techniques, ECMAST 1998

作者： Kompatsiaris, Ioannis Strintzis, Michael G. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki54006 Greece

ISBN: (纸本)9783540645948

In this paper a procedure for visualisation of videoconference image sequences using Virtual Reality Modeling Language (VRML) 2.0 is described. First image sequence analysis is performed in order to estimate the shape and motion parameters of the person talking in front of the camera. For this purpose, we propose the K-Means with connectivity constraint algorithm as a general segmentation algorithm combining information of various types such as colour and motion. The algorithm is applied "hierarchically" in the image sequence and it is first used to separate the background from the foreground object and then to further segment the foreground object into the head and shoulders regions. Based on the above information, personal 3D shape parameters are estimated. The rigid 3D motion is estimated next for each sub-object. Finally a VRML file is created containing all the above estimated information. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Image segmentation

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Mechanical and thermophysical properties of silicon nitride thin films at high temperatures using in-situ MEMS temperature sensors

Mechanical and thermophysical properties of silicon nitride ...

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Proceedings of the 1998 MRS Fall Meeting - Symposium AA,Materials Science of Microelectromechanical Systems (MEMS)

作者： Nieva, Patricia Tada, Haruna Zavracky, Paul Adams', George Miaoulis, Loannis Wong, Peter Microfabrication Laboratory Department of Electrical and Computer Engineering Northeastern University Thermal Analysis of Materials Processing Laboratory College of Engineering Tufts University

The optimization of microelectronic devices and Microelectromechanical Systems (MEMS) technology depends on the knowledge of the mechanical and thermophysical properties of the thin film materials used to fabricate them. The thickness, stoichiometry, structure and thermal history can affect the properties of thin films causing their mechanical and thermophysical properties to diverge from bulk values. Moreover, it is known that the mechanical and thermophysical properties of thin films vary considerably at different temperatures. Bulk properties of semiconductors have been characterized over a wide range of temperatures;however there is limited information on thin film properties of silicon-based compounds such as silicon nitride, specially at high temperatures. In our work, MEMS devices designed to record the localized maximum temperature during high temperature thermal processes, which we call Breaking T-MEMS, will be presented as a way to determine some of the mechanical properties (Young's modulus and fracture strength) and thermophysical properties (coefficient of thermal expansion) of silicon-rich nitride thin films at high temperatures. The Breaking T-MEMS device consists of a thin film bridge suspended over a substrate. During testing, the devices are thermally loaded in tension by heating the sample. The low coefficient of thermal expansion of the film relative to that of the substrate causes the thin film bridge to break at a specific temperature. Through a combination of indirect experimental measurements, analytical expressions, numerical and statistical analysis, and if the experiments are conducted using at least two different substrates of known temperature-dependent coefficients of thermal expansion, some of the material properties of the film can be calculated from the breaking temperatures of various devices. The two candidate materials for the substrate are silicon and aluminum oxide (sapphire).

关键词： Semiconducting films

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A computer-BASED SYNTHESIS METHOD OF STRUCTURALLY LBR DIGITAL ALLPASS NETWORKS

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS 1988年第6期35卷 755-760页

作者： SZCZUPAK, J MITRA, SK FADAVIARDEKANI, J Department of Electrical Engineering Pontificia Universidade Catolica do Rio de Janeiro Rio de Janeiro Brazil Department of Electrical and Computer Engineering Signal Processing Laboratory University of California Santa Barbara CA USA AT and T Bell Laboratories Inc. Allentown PA USA

A digital lossless bounded-real (LBR) transfer function, more commonly known as a stable allpass function, maintains the LBR property under multiplier coefficient quantization when implemented by networks that are structurally LBR. A systematic method is outlined for generating all possible such realizations for second-order transfer functions containing a minimum number of multipliers and delays, allowing the designer to take advantage of the flexibility offered by a catalog of such realizations. Illustrative examples are included.

关键词： TRANSFER FUNCTIONS catalogs Network Designers LBR gene Multiplying circuits

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A NEW APPROACH TO IMAGE-CODING USING 1-D SUBBAND FILTERING 2

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CONF ON IMAGE processing ALGORITHMS AND TECHNIQUES

作者： YU, TH MITRA, SK Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara 93106 CA United States

ISBN: (纸本)0819405515

Conventional subband coding for image data compression uses two-dimensional (2-D) separable QMF banks in which the analysis and synthesis filters are composed of 1-D filters. Such an implementation produces a large size output image as a result of the convolution process. Various signal extension methods have been proposed to solve this problem. However, these methods have one or more of the following drawbacks: Generation of boundary noise, inability to guarantee aliasing cancellation, and increased computational complexity. In this paper, we present an alternative solution to the problem by converting a 2-D image array to a 1-D array and then using an 1-D QMF bank to process the 1-D signal. In our approach, most of the above drawbacks mentioned above are eliminated. In addition, our approach offers more flexibilities in the type of the filter that can be implementated. © 1991 SPIE. All rights reserved.

关键词： Image coding

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Dual-Tone Radio Interferometric Positioning Systems for Multi-Target Localization Using a Single Mobile Anchor

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China Communications 2015年第1期12卷 25-35页

作者： LI Li'an WANG Yiyin MA Xiaoli CHEN Cailian GUAN Xinping Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electrical & Computer Engineering Georgia Institute of Technology

In this paper, a low-cost dualtone radio interferometric positioning system using a single mobile anchor is proposed to locate multiple targets at the same time. We name it mDRIPS. In mDRIPS, each target continuously transmits a dual-tone signal with its dedicated frequencies, and the mobile anchor receives the signals at different positions along its trajectory, Neither time synchronization between the mobile anchor and the targets nor time synchronization among the targets is required. We take the instability of targets clocks into consideration and develop an ESPRIT-type algorithm to estimate frequencies of each dual-tone signal. Furthermore, the time of arrival （TOA） of each target signal is extracted from the phase estimates of the received dual-tone signals. After measuring several TOAs at different locations along the anchor＇s trajectory, each target can be located. Since the frequency difference of the two tones of each dualtone signal is designed to be smaller than the channel coherence bandwidth, the same fading effect on these two tones can be eliminated. Moreover, the integer ambiguity problem due to phase wrapping is investigated, and a localization algorithm to deal with a simplified ambiguity problem is proposed. Numerical results demonstrate the efficiency of the proposed mDRIPS.

关键词： ranging localization mobile anchor radio interferometry oscillator instability

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parallel Building: A Complex System Approach for Smart Building Energy Management

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IEEE/CAA Journal of Automatica Sinica 2019年第6期6卷 1452-1461页

作者： Abdulaziz Almalaq Jun Hao Jun Jason Zhang Fei-Yue Wang Department of Electrical Engineering Engineering CollegeUniversity of HailHail 55476Saudi Arabia Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer ScienceUniversity of DenverDenverCO 80208 USA State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 and also with the Research Center for Military Computational Experiments and Parallel Systems TechnologyNational University of Defense TechnologyChangsha 410073China

These days' smart buildings have high intensive information and massive operational parameters, not only extensive power consumption. With the development of computation capability and future 5 G, the ACP theory(i.e., artificial systems,computational experiments, and parallel computing) will play a much more crucial role in modeling and control of complex systems like commercial and academic buildings. The necessity of making accurate predictions of energy consumption out of a large number of operational parameters has become a crucial problem in smart buildings. Previous attempts have been made to seek energy consumption predictions based on historical data in buildings. However, there are still questions about parallel building consumption prediction mechanism using a large number of operational parameters. This article proposes a novel hybrid deep learning prediction approach that utilizes long short-term memory as an encoder and gated recurrent unit as a decoder in conjunction with ACP theory. The proposed approach is tested and validated by real-world dataset, and the results outperformed traditional predictive models compared in this paper.

关键词： ACP theory artificial intelligence data acquisition deep learning(DL) energy consumption machine learning parallel energy prediction prediction algorithms smart grid

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REAL-VALUED FAST FOURIER-TRANSFORM ALGORITHMS

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL processing 1987年第6期35卷 849-863页

作者： SORENSEN, HV JONES, DL HEIDEMAN, MT BURRUS, CS Department of Electrical and Computer Engineering Rice University Houston TX USA Digital Image Processing Laboratory Lockheed Missiles and Space Company Incorporated Palo Alto CA USA

This tutorial paper describes the methods for constructing fast algorithms for the computation of the discrete Fourier transform (DFT) of a real-valued series. The application of these ideas to all the major fast Fourier transform (FFT) algorithms is discussed, and the various algorithms are compared. We present a new implementation of the real-valued split-radix FFT, an algorithm that uses fewer operations than any other real-valued power-of-2-length FFT. We also compare the performance of inherently real-valued transform algorithms such as the fast Hartley transform (FHT) and the fast cosine transform (FCT) to real-valued FFT algorithms for the computation of power spectra and cyclic convolutions. Comparisons of these techniques reveal that the alternative techniques always require more additions than a method based on a real-valued FFT algorithm and result in computer code of equal or greater length and complexity.

关键词： Fast Fourier transforms Discrete Fourier transforms Signal processing algorithms Convolutional codes Discrete transforms Application software Algorithm design and analysis NASA Digital images

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Ray tracing parametric surface patches utilizing numerical techniques and ray coherence 86

Ray tracing parametric surface patches utilizing numerical t...

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13th Annual Conference on computer Graphics and Interactive Techniques, SIGGRAPH 1986

作者： Joy, Kenneth I. Bhetanabhotla, Murthy N. Signal and Image Processing Laboratory Computer Science Division Department of Electrical and Computer Engineering University of California Davis United States

ISBN: (纸本)0897911962

A new algorithm for ray tracing parametric surface patches is presented. The method uses quasi-Newton iteration to solve for the ray/surface intersection and utilizes ray-to-ray coherence by using numerical information from adjoining rays as initial approximations to the quasi-Newton algorithm. Techniques based upon object space subdivision are used to insure convergence to the correct intersection point. Examples are given of the use of the algorithm in scenes containing Bézier surface patches. Results show that a significant number of ray/surface intersections on these parametric surface patches can be found using very few iterations, giving a significant computational savings. © 1986 ACM.

关键词： Ray tracing

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Experimental analysis of communication/data-conditional aspects of a mixed-mode parallel architecture via synthetic computations 90

Experimental analysis of communication/data-conditional aspe...

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Proceedings of the 1990 ACM/IEEE conference on Supercomputing

作者： Samuel A. Fineberg Thomas L. Casavant Howard Jay Siegel Parallel Processing Laboratory Department of Electrical and Computer Engineering University of Iowa Iowa City IA Parallel Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN

ISBN: (纸本)9780897914123

Experimentation aimed at determining the potential benefit of mixed-mode SIMD/MIMD parallel architectures is reported. The experimentation is based on timing measurements made on the PASM system prototype at Purdue utilizing carefully coded synthetic variations of a well-known algorithm. The synthetic algorithms used to measure and evaluate this system were based on bitonic sorting of sequences stored in the processing elements. This computation was mapped to both the SIMD and MIMD modes of parallelism, as well as two hybrids of the SIMD and MIMD modes. The computations were coded in these four ways and experiments were performed that explore the trade-offs among them. The results of these experiments are presented and are discussed with special consideration of the effects of the system's architecture. The goal is to (as much as possible) obtain implementation independent analyses of the attributes of mixed-mode parallel processing with respect to the computational characteristics of the application being examined. The results are used to gain insight into the impact of computation mode on synchronization and data-conditional aspects of system performance.

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Noise-robust modification method for gaussian-based models with application to radar HRRP recognition

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IEEE Geoscience and Remote Sensing Letters 2013年第3期10卷 558-562页

作者： Pan, Mian Du, Lan Wang, Penghui Liu, Hongwei Bao, Zheng National Laboratory of Radar Signal Processing Xidian University Xi'an 710071 China Department of Electrical and Computer Engineering Duke University Durham NC 27708 United States

In this letter, we introduce a novel noise-robust modification method for Gaussian-based models to enhance the performance of radar high-resolution range profile (HRRP) recognition under the test condition of low signal-to-noise ratio (SNR), and we develop an efficient scheme for its computation. This noise-robust modification method is implemented by revising the trained Gaussian-based model according to the estimated SNR of test HRRP. We apply the proposed method to adaptive Gaussian classifier and truncated stick-breaking hidden Markov model. Experimental results demonstrate that the proposed method can significantly improve the average recognition rate for noisy HRRP test samples while offering recognition performance comparable to that of original model for clean HRRP test samples. Moreover, even when the SNR of test HRRP samples is not precisely estimated, we can still obtain an acceptable result with the proposed method. © 2004-2012 IEEE.

关键词： Signal to noise ratio

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