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6th International Conference on parallel (PaCT 2001)

作者： Trivedi, Nishank Bischof, Jared Davis, Steve Pedretti, Kevin Scheetz, Todd E. Braun, Terry A. Roberts, Chad A. Robinson, Natalie L. Sheffield, Val C. Soares, M.Bento Casavant, Thomas L. Parallel Processing Laboratory Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States

This paper describes the UIcluster software tool, which partitions expressed sequence tag (EST) sequences and other genetic sequences into "clusters" based on sequence similarity. Ideally, each cluster will contain sequences that all represent the same gene. UIcluster has been developed over the course of 4 years to solve this problem efficiently and accurately for large data sets consisting of tens or hundreds of thousands of EST sequences. The latest version of the application has been parallelized using the MPI standard. Both the computation and memory requirements of the program can be distributed among multiple (possibly distributed) UNIX processes. © 2002 Elsevier Science B.V. All rights reserved.

关键词： parallel processing systems

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A LOCOS PROCESS FOR AN ELECTROSTATIC MICROFABRICATED MOTOR

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SENSORS AND ACTUATORS A-PHYSICAL 1990年第1-3期23卷 893-898页

作者： TAVROW, LS BART, SF LANG, JH SCHLECHT, MF Microsystems Technology Laboratories Laboratory for Electromagnetic and Electronic Systems Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 U.S.A.

A novel process based on local oxidation of silicon (LOCOS) for fabricating planar electric micron-scale radial-gap motors is described. Issues relating to the design, fabrication and performance of these micromotors are discussed, with particular emphasis given to the LOCOS process. Functioning variable-capacitance motors with rotors of 50 μm radii are described in detail and qualitative results of their operation with air levitation are presented. Finally, the integration of electronics with the micromotors on the same substrate is discussed. We have discussed the main issues involved in designing and fabricating electric variable-capacitance motors. Radial-gap motors have been selected for controllable instability and ease of fabrication. Furthermore, by examining the fabrication requirements of high-precision thick structures, we conclude that planarization is required unless greatly increased process complexity can be tolerated. The LOCOS-based process has thus been developed because it is inherently planar, unlike standard surface micromachining processes. Micron-scale motors and other structures have been successfully fabricated using the new LOCOS-based process. These motors were spun electrostatically up to speeds over 10 00O rpm, without visible signs of wear, when levitated by an externally generated air bearing. We are investigating the use of reduced-friction coatings such as Si 3 N 4 [2] or Teflon [19] in the bearing structure to eliminate the need for external air levitation. The inherent planarization of the motor not only facilitates the fabrication but may also facilitate the development of certain applications that require some form of direct cover or package. Starting and load transients must be sensed and controlled for stable VC motor performance. Closed-loop control, however, is virtually impossible witho

关键词： Electric Motors

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RADAR BACKSCATTER SIGNATURES OF THIN SEA-ICE IN THE CENTRAL ARCTIC

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INTERNATIONAL JOURNAL OF REMOTE SENSING 1994年第5期15卷 1149-1154页

作者： BEAVEN, SG GOGINENI, SP SHANABLEH, M [a]Radar Systems and Remote Sensing Laboratory Department of Electrical Engineering and Computer Science University of Kansas 2291 Irving Hill Road Lawrence Kansas 66045-2969 USA

Monitoring the early stages of sea ice growth is vital because the changing sea ice cover controls the heat exchange between the ocean and air. New ice growth is also responsible for adding brine into the upper portion of the water column. Thin sea ice also significantly affects the albedo of the surface as it changes from a sea surface to an ice surface. To investigate the ability of radars to map thin ice we performed radar backscatter measurements early in the fall freeze-up as part of the International Arctic Ocean Expedition '91 (IAOE'91). We collected data over the thin ice types of light nilas, dark nilas, and pancake/slush ice using a ship-based, C-band FM radar with all four linear polarizations. Our results indicate that radars must be able to measure sigma0 as low as - 30 dB for W polarization and - 34 dB for HH polarization. The noise-equivalent sigma0 for the ERS-1 Synthetic-Aperture Radar is - 24 dB and for RADARSAT is - 23 dB. This implies that these sensors are not capable of monitoring thin sea ice types such as dark nilas and grease ice but may be able to detect slightly thicker ice, such as light nilas and pancake ice, due to their higher backscatter.

关键词： Radar

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Variable selection in identification of a high dimensional nonlinear non-parametric system

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Control Theory and Technology 2015年第1期13卷 1-16页

作者： Er-Wei BAI Wenxiao ZHAO Weixing ZHENG Department of Electrical and Computer Engineering University of Iowa School of Electronics Electrical Engineering and Computer Science Queen's UniversityBelfast U.K. Key Laboratory of Systems and Control Academy of Mathematics and Systems Science National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of Sciences School of Computing Engineering and Mathematics University of Western Sydney

The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Then its connections to various topics and research areas are briefly discussed, including order determination, pattern recognition, data mining, machine learning, statistical regression and manifold embedding. Finally, some results of variable selection in system identification in the recent literature are presented.

关键词： System identification variable selection nonlinear non-parametric system curse of dimensionality

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Using run-time uncertainty to robustly schedule parallel computation 4th

Using run-time uncertainty to robustly schedule parallel com...

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4th International Conference on parallel Computing Technologies, PaCT 1997

作者： Dietz, R.D. Casavant, T.L. Scheetz, T.E. Braun, T.A. Andersland, M.S. Parallel Processing Laboratory Electrical and Computer Engineering Department The University of Iowa Iowa CityIA52242 United States

ISBN: (纸本)3540633715

Increasingly, feedback of measured run-time information is being used in the optimization of computation execution. Because of this, the need for a model relating the static view of a computation to its runtime variance is becoming more important. Recently, we have described such a model which uses the notion of uncertainty to provide bounds on key scheduling parameters of the run-time computation. In this paper, we demonstrate how our model provides a foundation for robust parallel scheduling, i.e., scheduling that optimizes for computation execution in the presence of run-time variance. While this work was inspired by our previous study of uncertainty due to measurement intrusion, the scheduling paradigm presented here represents a broader, more general application of the uncertainty concept. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Scheduling

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Flexible temperature sensor with high sensitivity ranging from liquid nitrogen temperature to 1200℃

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International Journal of Extreme Manufacturing 2023年第1期5卷 355-366页

作者： Zhaojun Liu Bian Tian Zhuangde Jiang Shuimin Li Jiaming Lei Zhongkai Zhang Jiangjiang Liu Peng Shi Qijing Lin State Key Laboratory for Mechanical Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049People’s Republic of China Department of Electrical&Computer Engineering National University of SingaporeSingapore 117576Singapore

Flexible temperature sensors have been extensively investigated due to their prospect of wide application in various flexible electronic ***,most of the current flexible temperature sensors only work well in a narrow temperature range,with their application at high or low temperatures still being a big *** work proposes a flexible thermocouple temperature sensor based on aerogel blanket substrate,the temperature-sensitive layer of which uses the screen-printing technology to prepare indium oxide and indium tin *** has good temperature sensitivity,with the test sensitivity reaching 226.7μV℃^(−1).Most importantly,it can work in a wide temperature range,from extremely low temperatures down to liquid nitrogen temperature to high temperatures up to 1200℃,which is difficult to be achieved by other existing flexible temperature *** temperature sensor has huge application potential in biomedicine,aerospace and other fields.

关键词： flexible sensor temperature thermocouple

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Hybrid Scenario Generation Method for Stochastic Virtual Bidding in Electricity Market

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CSEE Journal of Power and Energy systems 2021年第6期7卷 1312-1321页

作者： Dongliang Xiao Wei Qiao the School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China the Power and Energy Systems Laboratory Department of Electrical and Computer EngineeringUniversity of Nebraska-LincolnLincolnNE 68588-0511 USA

Stochastic optimization can be used to generate optimal bidding strategies for virtual bidders in which the uncertain electricity prices are represented by using *** paper proposes a hybrid scenario generation method for electricity price using a seasonal autoregressive integrated moving average(SARIMA)model and historical *** electricity price spikes are first identified by using an outlier detection ***,the historical data are decomposed into base and spike ***,the base and spike component scenarios are generated by using the SARIMA-and historical data-based methods,***,the electricity price scenarios are obtained by combining the base and spike component *** studies are carried out for a virtual bidder in the PJM electricity market to validate the proposed *** optimal bidding strategies of the virtual bidder are generated by solving a stochastic optimization problem using the electricity price scenarios generated by the proposed method,the SARIMA method,and a historical data-based method,*** study results show that the proposed method is better than the SARIMA method in preserving statistical properties of the electricity price in the generated scenarios and is better than the historical data-based method in predicting the future trend of the electricity price and,therefore,can help the virtual bidder earn more profit in the electricity market.

关键词： Electricity market electricity price scenario generation stochastic optimization virtual bidding

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Mitigating Distribution Network congestion due to high DG penetration

Mitigating Distribution Network congestion due to high DG pe...

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9th Mediterranean Conference on Power Generation, Transmission Distribution and Energy Conversion, MedPower 2014

作者： Bouhouras, Aggelos S. Iraklis, Christos Evmiridis, George Labridis, DimitriS. P. Department of Electrical and Computer Engineering Power Systems Laboratory Aristotle University of Thessaloniki Greece

ISBN: (纸本)9781785611469

The increased penetration of Renewable Energy Resources (RESs) and Distribution Generation (DG) units in Distribution Networks (DGs) is expected to cause operational states subject to downstream power flow violations. The branches with upstream power flow could undergo high loading levels and thus, their carrying current could increase towards their ampacity level. Moreover, some nodes could experience over voltages;hence the Distribution System Operator (DSO) would probably proceed in forcing the dispersed generators to reduce their power injection into the grid or even in cutting of specific producers for as long it is needed. In this paper, two factors are proposed in order to describe and quantify the congestion level for DNs. Moreover, the problem is proposed to be solved via the technique of network reconfigurations in order to mitigate the congestion level. Numerous tests show that limited switching operations under simple heuristic rules could efficiently deal with the congestion problem.

关键词： Distributed power generation

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StReam: Object-oriented programming of stream architectures using PAM-blox 10th

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10th International Conference on Field-Programmable Logic and Applications, FPL 2000

作者： Mencer, Oskar Hübert, Heiko Morf, Martin Flynn, Michael J. Computer Systems Laboratory Department of Electrical Engineering StanfordCA94305 United States

ISBN: (纸本)3540678999

Simplifying the programming models is paramount to the success of reconfigurable computing. We apply the principles of objectoriented programming to the design of stream architectures for reconfigurable computing. The resulting tool, StReAm, is a domain specific compiler on top of the object-oriented module generation environment PAM-Blox. Combining module generation with a high-level programming tool in C++ gives the programmer the convenience to explore the flexibility of FPGAs on the arithmetic level and write the algorithms in the same language and environment. Stream architectures consist of the pipelined dataflow graph mapped directly to hardware. Data streams through the implementation of the dataflow graphwithonly minimal control logic overhead. The main advantage of stream architectures is a clock-frequency equal to the data-rate leading to very low power consumption. We show a set of benchmarks from signal processing, encryption, image processing and 3D graphics in order to demonstrate the advantages of object-oriented programming of FPGAs. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Field programmable gate arrays (FPGA)

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A Robust Polyscale Length Complexity Measure for Stochastic Self-Affine Processes 20

A Robust Polyscale Length Complexity Measure for Stochastic ...

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20th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2021

作者： Kinsner, Witold University of Manitoba Cognitive Systems Laboratory Department of Electrical and Computer Engineering Winnipeg Canada

ISBN: (纸本)9781665421195

Cognitive and other nonlinear systems often involve deterministic differentiable processes and stochastic non-differentiable processes. Measuring the complexity of such processes is important when extracting objective features from the processes for their classification in either reactive, or adaptive, or predictive control. This applies to classifiers based not only to the traditional neural networks, but also to deep learning systems, and particularly in cognitive systems. This paper describes a robust algorithm to measure the length complexity of a self-Affine time series using multiscale and polyscale analyses, and provides new insight in the theoretical and practical aspects of extracting the measure. © 2021 IEEE.

关键词： Signal analysis

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