作者：
S.Y.H. SuH. MaDepartment of Computer Science
Research Group on Design Automation and Fault-tolerant Computing Thomas J. Watson School of Engineering Applied Science and Technology State University of New York Binghamton Binghamton NY USA Department of Electrical Engineering
Research Group on Design Automation and Fault-tolerant Computing Thomas J. Watson School of Engineering Applied Science and Technology State University of New York Binghamton Binghamton NY USA
Novel concepts of designs for diagnosability and reliability are defined and developed. A diagnosable design of VLSI system is presented, in which fault isolation is realized by minimal additional hardware instead of ...
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Novel concepts of designs for diagnosability and reliability are defined and developed. A diagnosable design of VLSI system is presented, in which fault isolation is realized by minimal additional hardware instead of traditional software diagnostic procedures such that the computation space and time for fault isolation are saved. The presented fault-tolerant design uses online fault detection and isolation techniques, yields higher reliability with minimized hardware overhead of no more than 125% as opposed to over 200% in classical redundancy fault-tolerant designs. Using this scheme, the ability to isolate intermittent faults is a significant improvement over existing fault isolation methods because faults could be isolated right after they are detected.< >
Functional testing is becomilng more important due to the increasing complexity in digital LSI/VLSI devices. Various functional testing approaches have been proposed to meet this urgent need in LSI/VLSI testing. This ...
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ISBN:
(纸本)9780818605420
Functional testing is becomilng more important due to the increasing complexity in digital LSI/VLSI devices. Various functional testing approaches have been proposed to meet this urgent need in LSI/VLSI testing. This paper presents the basic ideas behind deterministic functional testing and concisely overviews eight major functional testing techniques. Comparisons among these techniques and suggestions for future development are made to meet the challenges in this fast growing testing field.
Recent Government initiatives in CAD/CAE stress the importance to the British economy of the introduction of these new techniques. This article describes some of the concepts behind CAD/CAE and illustrates these with ...
Recent Government initiatives in CAD/CAE stress the importance to the British economy of the introduction of these new techniques. This article describes some of the concepts behind CAD/CAE and illustrates these with some examples of the sophisticated software packages available today
Edge intelligence (EI) integrates edge computing and artificial intelligence empowering service providers to deploy deep neural networks (DNNs) on edge servers in proximity to users to provision intelligent applicatio...
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Edge intelligence (EI) integrates edge computing and artificial intelligence empowering service providers to deploy deep neural networks (DNNs) on edge servers in proximity to users to provision intelligent applications (e.g., autonomous driving) for ubiquitous Internet of Things (IoT) in smart cities, which facilitates the quality of experience (QoE) of users and improves the processing and energy efficiency. However, considering DNN is typically computational-intensive and resource-hungry, conventional placement approaches ignore the influence of multi-dimensional resource requirements (processor, memory, etc.), which may degrade the real-time performance. Moreover, with the increasing scale of geo-distributed edge servers, centralized decision-making is still challenging to find the optimal strategies effectively. To overcome these shortcomings, in this paper we propose a game theoretic DNN placement approach in EI-enabled IoT. First, a DNN placement optimization problem is formulated to maximize system benefits, which is proven to be \(\mathcal {N}\mathcal {P}\)-hard and model the original problem as an exact potential game (EPG). Moreover, an EPG-based DNN model placement algorithm, named EPOL, is designed for edge servers to make sub-optimal strategies independently and theoretical analysis is possessed to guarantee the performance of EPOL. Finally, real-world dataset based experimental results corroborate the superiority and effectiveness of EPOL.
The time-dependent momentum and continuity equations for the ions and the time-dependent momentum equation for the neutral air are solved simultaneously for midlatitude F 2-region conditions. In both momentum equation...
The time-dependent momentum and continuity equations for the ions and the time-dependent momentum equation for the neutral air are solved simultaneously for midlatitude F 2-region conditions. In both momentum equations the non-linear acceleration terms are omitted. The pressure gradients in the neutral air are derived from Jacchia atmospheric models; also included in the neutral air momentum equation are ion drag, Coriolis and viscous forces. It is shown that, compared with the results of Geisler (1967), in whose calculations only the neutral air momentum equation was solved, the phases of the neutral air wind velocities are little affected by the feedback interaction between the ion and neutral air equations but the magnitudes of the velocities are different. When the peak electron concentration N m F 2 falls below 10 5 cm −3 , as it does at night, the wind velocities are determined by viscosity and Coriolis forces rather than by ion drag. The zonal wind has a small prevailing eastward component, much less than the observational value given by King-Hele and Scott (1967). With the values of the parameters used in these calculations (appropriate to sunspot minimum conditions), the behaviour of N m F 2 by day is not the same as that usually observed. Variations of the coefficient of viscosity, the ion loss coefficient and the ion-neutral collision frequency give results that demonstrate the effects of feedback between the equations. At night, because the ionization is raised by an equatorward wind, N m F 2 may remain almost constant for several hours before dawn, though its value is less than is normally observed.
This book constitutes the refereed proceedings of the Third International Symposium on Quantum Interaction, QI 2009, held in Saarbrücken, Germany, in March 2009. The 21 revised full papers presented together with...
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ISBN:
(数字)9783642008344
ISBN:
(纸本)9783642008337
This book constitutes the refereed proceedings of the Third International Symposium on Quantum Interaction, QI 2009, held in Saarbrücken, Germany, in March 2009. The 21 revised full papers presented together with the 3 position papers were carefully reviewed and selected from numerous submissions. The papers show the cross-disciplinary nature of quantum interaction covering topics such as computation, cognition, decision theory, information retrieval, information systems, social interaction, computational linguistics and finance.
This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JR...
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ISBN:
(数字)9783540725305
ISBN:
(纸本)9783540725299
This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China.
The book presents the proceedings of the 12th International Conference on Frontiers of Intelligent computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolita...
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ISBN:
(数字)9789819601431
ISBN:
(纸本)9789819601424;9789819601455
The book presents the proceedings of the 12th International Conference on Frontiers of Intelligent computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6–7, 2024. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
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