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检索条件"任意字段=7th International Conference on Parallel and Distrubuted Computing, Applications and Technologies"

共 233 条记录，以下是221-230 订阅

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Integration of secure agents with a secure communication infrastructure for crisis management

Integration of secure agents with a secure communication inf...

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international Symposium on Collaborative technologies and Systems

作者： Z. Balogh E. Gatial L. Hluchý V. Hudek M. Konečný Institute of Informatics Department of Parallel and Distributed Computing Slovak Academy of Sciences Bratislava Slovakia Ardaco a. s. Bratislava Slovakia

ISBN: (纸本)9781612846385

this paper proposes integration of secure agents with a secure communication infrastructure in order to provide rapid information gathering platform from various information sources and actors participating in a crisis situation. the role of agents is primarily a coordinated collection of information. the secure communication infrastructure (SCI) provides communication services for voice and data exchange between users and systems. A special type of agent called User Communication Agent is described. the communication with users is enacted through dynamically generated XForms-based questionnaires integrated with the user interface of the SCI. Although security and trust aspects are important part of both secure agents and SCI, we concentrate more on integration aspects between these two systems. the presented work is being developed in scope of the SECRICOM 7th FP integrated project.

关键词： Security Mobile communication Crisis management Hardware Mobile handsets Humans Computers

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VLSI Secure communication: Advancements in Blowfish Algorithm for Secure Data Transmission

VLSI Secure communication: Advancements in Blowfish Algorith...

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international conference on Circuit, Power and computing technologies (ICCPCT)

作者： R. Anusha Padmavathi K. S. Dhanalakshmi K. Kalai Selvi Department of Electronics and Communication Engineering Government College of Engineering Tirunelveli Tamilnadu India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Virudhunagar Tamilnadu India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

In the rapidly evolving field of Very Large-Scale Integration (VLSI) systems, securing communication channels is of paramount importance due to the increasing prevalence of cyber threats. this paper presents Modified Blowfish (MBF) algorithm employed for secured communication in VLSI systems. While the traditional Blowfish algorithm delivers a superior balance between security and performance, the improved version focuses on further improving encoding speed, reducing power consumption and reducing hardware footprint, which are important factors for VLSI implementations. the novel modifications are introduced in key expansion and encryption processes to increase the throughput and efficiency of the algorithm when implemented in hardware. the MBF algorithm leverages parallel processing capabilities and optimized data paths to achieve higher performance metrics compared to the traditional Blowfish implementation. Extensive simulations and hardware synthesis results demonstrate that the improved algorithm outperforms existing encryption standards in terms of speed and energy efficiency, making it ideal for real-time secure communications in resource-constrained VLSI environments.

关键词： Power demand Very large scale integration parallel processing throughput Hardware Real-time systems Energy efficiency

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Hierarchical declustering schemes for range queries 7

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7th international conference on Extending Database Technology, EDBT 2000

作者： Bhatia, Randeep Sinha, Rakesh K. Chen, Chung-Min Bell Laboratories Murray HillNJ07974 United States Telcordia Technologies Inc MorristownNJ07960 United States

ISBN: (纸本)3540672273

Declustering schemes have been widely used to speed up access time of multi-device storage systems (e.g. disk arrays) in modern geospatial applications. A declustering scheme distributes data items among multiple devices, thus enabling parallel I/O access and speeding up query response time. To date, effcient declustering schemes are only known for small values of M, where M is the number of devices. For large values of M, the search overhead to find an efficient scheme is prohibitive. In this paper, we present an efficient hierarchical technique for building declustering schemes for large values of M based on declustering schemes for small values of M. Using this technique, one may easily construct efficient declustering schemes for large values of M using any known good declustering schemes for small values of M. We analyze the performance of the declustering schemes generated by our technique in 2-dimension, giving tight asymptotic bounds on their response time. For example we show, in 2 dimension, that using optimal declustering schemes for M1 and M2 devices we can construct a scheme for M1M2 devices whose response time is at most seven more than the optimal response time. Our technique generalizes to any d dimension. We also present simulation results to evaluate the performance of our scheme in practice. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Digital storage

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Energy storage technology markets and application’s: ultracapacitors in combination with lithium-ion

Energy storage technology markets and application’s: ultrac...

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international conference on Power Electronics (ICPE)

作者： John M. Miller Maxwell Technologies Inc. San Diego CA USA

Ultracapacitors are becoming widely accepted in the energy storage industry in both standalone and in combination with batteries. Standalone applications, once niche, are now rapidly expanding as the technical and economic benefits of this power dense component become more widely understood. Combination examples continue to proliferate, primarily in battery electric and hybrid electric commercial transportation segments such as transit buses and trains. the ultracapacitor offers a fast energy buffer to advanced chemistry energy reservoirs such as nickel metal hydride and lithium batteries and offer an opportunity for truly energy optimized battery systems. this presentation will discuss trends in energy storage systems, advanced chemistry batteries such as nickel-hydrogen and lithium-ion and why such components would benefit from working in combination with carbon capacitors. the presentation will focus on the strengths and weakness of each technology and why the active parallel combination of ultracapacitor plus electronic converter with the lithium-ion battery is a complimentary and synergistic alternative.

关键词： Energy storage Supercapacitors Batteries Chemistry Power generation economics Rail transportation Road transportation Reservoirs Nickel Lithium compounds

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Statistical Analysis of Intrinsic High-Frequency Characteristic Fluctuation of Emerging Silicon Gate-All-Around Nanosheet (NS) MOSFETs at Sub-3-nm Nodes

Statistical Analysis of Intrinsic High-Frequency Characteris...

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IEEE Electron Devices Technology and Manufacturing conference (EDTM)

作者： Sekhar Reddy Kola Yiming Li Min-Hui Chuang Kazuhiko Endo Seiji Samukawa Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Institute of Communications Engineering Department of Electronics and Electrical Engineering Institute of Biomedical Engineering Center for mm Wave Smart Radar System and Technologies National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Fluid Science Tohoku University 2-1-1 Katahira Aoba-ku Sendai Japan National Institute of Advanced Industrial Science and Technology Tsukuba Japan

In recent years, the GAA NS Si MOSFET has been explored as a leading technology. However, the intrinsic parameters of GAA NS Si MOSFETs are affected to varying degrees by various fluctuation sources, Statistically independent and identically distributed $(iid)$ assumptions on the aforementioned random variables overestimate the variability of high-frequency characteristics, compared with considering all fluctuation factors simultaneously. Notably, the random nanosized metal grains dominates the variations of voltage gain, cut-off frequency, and 3dB frequency because the random work functions strongly alter the channel surface potential.

关键词： MOSFET Fluctuations Statistical analysis Gallium arsenide Cutoff frequency Metals Logic gates

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Kinematic Analysis and Optimal Design of a New 3T1R parallel Mechanism

Kinematic Analysis and Optimal Design of a New 3T1R Parallel...

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RSI/ISM international conference on Robotics and Mechatronics (ICROM)

作者： Mohammad Malekpour Farid Kaviany Rasul FesharakiFard Mohammad A. Khosravi New Technologies Research Center Amirkabir University of Technology Tehran Iran Amirkabir University of Technology Tehran Iran

ISBN: (数字)9781728166049

ISBN: (纸本)9781728166056

Decoupled motions in low mobility parallel manipulators, which maintains some translation movement or orientation in space by contrast to Stewart platform that can translate and rotate in any direction, lead to more straightforward mechanical structure, larger workspace, lower cost, higher accuracy, and more natural control. A four-degree-of-freedom (DOF) 3T1R parallel manipulator is presented in this paper. this manipulator generates the family of so-called SCARA motions, Schönflies motions, or 3T1R motions, in which the moving platform can translate in all directions and rotate around an axis of a fixed direction whose rotational motion is a roll motion. the position analysis and kinematic modeling for the mechanism are performed, and its workspace size and kinematic characteristic are examined. this manipulator can be used in robotic applications involving the positioning and orientation of a rigid body with high stiffness or accuracy.

关键词： Kinematics Fasteners Legged locomotion Service robots End effectors

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Implicit-Explicit Error Indicator based on Approximation Order

Implicit-Explicit Error Indicator based on Approximation Ord...

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international Multidisciplinary conference on Computer and Energy Science (SpliTech)

作者： Mitja Janč ič Filip Strniš a Gregor Kosec Parallel and Distributed Systems Laboratory Joief Stefan Institute Joief Stefan International Postgraduate School Ljubljana Slovenia Parallel and Distributed Systems Laboratory Joief Stefan Institute Ljubljana Slovenia

ISBN: (纸本)9781665488280

With the immense computing power at our disposal, the numerical solution of partial differential equations (PDEs) is becoming a day-to-day task for modern computational scientists. However, the complexity of real-life problems is such that tractable solutions do not exist. this makes it difficult to validate the numerically obtained solution, so good error estimation is crucial in such cases. It allows the user to identify problematic areas in the computational domain that may affect the stability and accuracy of the numerical method. Such areas can then be remedied by either h- or p-adaptive procedures. In this paper, we propose to estimate the error of the numerical solution by solving the same governing problem implicitly and explicitly, using a different approximation order in each case. We demonstrate the newly proposed error indicator on the solution of a synthetic two-dimensional Poisson problem with tractable solution for easier validation. We show that the proposed error indicator has good potential for locating areas of high error.

关键词： Poisson equations Error analysis Complexity theory Task analysis Numerical stability

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Application of Deep Artificial Neural Network to Model Characteristic Fluctuation of Multi-Channel Gate-All-Around Silicon Nanosheet and Nanofin MOSFETs Induced by Random Nanosized Metal Grains

Application of Deep Artificial Neural Network to Model Chara...

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IEEE Electron Devices Technology and Manufacturing conference (EDTM)

作者： Sagarika Dash Yiming Li Wen-Li Sung Parallel and Scientific Computing Laboratory National Yang-Ming Chiao Tung University Hsinchu Taiwan Electrical Engineering and Computer Science International Graduate Program National Yang-Ming Chiao Tung University Hsinchu Taiwan Institute of Communications Engineering National Yang-Ming Chiao Tung University Hsinchu Taiwan Department of Electronics and Electrical Engineering National Yang-Ming Chiao Tung University Hsinchu Taiwan Institute of Biomedical Engineering National Yang-Ming Chiao Tung University Hsinchu Taiwan Center for mm Wave Smart Radar System and Technologies National Yang-Ming Chiao Tung University Hsinchu Taiwan

In this work, we propose a deep artificial neural network (D-ANN) to estimate the work function fluctuation (WKF) on 4-channel stacked gate-all-around (GAA) silicon (Si) nanosheet (NS) and nanofin (NF) MOSFET devices for the first time. the 2-layered simple deep model can well predict the transfer characteristics for both NS/NF FET with a large number of (128) input features, utilizing considerably lesser (1100 samples) data uniformly. the resultant model is evaluated by the $\mathrm{R}^th$ score and RMSE to witness its competency and the average error is $< 4\%$ . We do also discuss the circuit simulation possibility by applying the ANN approach.

关键词： Semiconductor device modeling MOSFET Gallium arsenide Artificial neural networks Predictive models Logic gates Silicon

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Sensitivity Analysis of an Air Pollution Model with Using Innovative Monte Carlo Methods in Calculating Multidimensional Integrals 10th

Sensitivity Analysis of an Air Pollution Model with Using...

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10th international conference on Numerical Methods and applications, NMA 2022

作者： Ostromsky, Tzvetan Todorov, Venelin Dimov, Ivan Georgieva, Rayna Department of Parallel Algorithms Institute of Information and Communication Technologies Bulgarian Academy of Sciences Acad. G. Bonchev Str. Block 25 A Sofia1113 Bulgaria Department of Information Modeling Institute of Mathematics and Informatics Bulgarian Academy of Sciences Acad. Georgi Bonchev Str. Block 8 Sofia1113 Bulgaria

ISBN: (纸本)9783031324116

Large-scale models are mathematical models with a lot of natural uncertainties in their input data sets and parameters. Sensitivity analysis (SA) is a powerful tool for studying the impact of these uncertainties on the output results and helps to improve the reliability of these models. In this article we present some results of a global sensitivity study of the Unified Danish Eulerian Model (UNI-DEM). A large number of heavy numerical experiments must be carried out in order to collect the necessary data for such comprehensive sensitivity study. One of the largest supercomputers in Europe and the most powerful in Bulgaria, the petascale EuroHPC supercomputer Discoverer is used to perform efficiently this huge amount of computations. One of the most important features of UNI-DEM is its advanced chemical scheme, called Condensed CBM IV, which considers a large number of chemical species and all significant reactions between them. the ozone is one of the most harmful pollutants, that is why it is important for many practical applications to study it precisely. Stochastic methods based on Adaptive approach and Sobol sequences are used for computing the corresponding sensitivity measures. We show by experiments that the stochastic algorithms for calculating the multidimensional integrals under consideration are one of the best stochastic techniques for computing the small in value sensitivity indices. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sensitivity analysis

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Prototyping of Low-Cost Configurable Sparse Neural Processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array

Prototyping of Low-Cost Configurable Sparse Neural Processin...

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international conference on parallel and Distributed Systems (ICPADS)

作者： Binyi Wu Wolfgang Furtner Bernd Waschneck Christian Mayr Faculty of Electrical and Computer Engineering Technische Universit¨at Dresden Dresden Germany Division of Power and Sensor Systems Infineon Technologies Munich Germany Centre for Tactile Internet with Human-in-the-loop (CeTI) Technische Universität Dresden Dresden Germany

More recently, it has become possible to run deep learning algorithms on edge devices such as microcontrollers due to continuous improvements in neural network optimization algorithms such as quantization and neural architecture search. Nonetheless, most of the embedded hardware available today still falls short of the requirements of running deep neural networks. As a result, specialized processors have emerged to improve the inference efficiency of deep learning algorithms. However, most are not for edge applications that require efficient and low-cost hardware. therefore, we design and prototype a low-cost configurable sparse Neural Processing Unit (NPU). the NPU has a built-in buffer and a reshapable mixed-precision multiply-accumulator (MAC) array. the computing and memory resources of the NPU are parameterized, and different NPUs can be derived. Besides, users can also conFigure the NPU at runtime to fully utilize the resources. In our experiments, the 200MHz NPU with only 32 MACs is more than 32 times faster than the 400MHzSTM32H7 when inferring MobileNet-Vl. Besides, the yielded NPUs can achieve roofline or even beyond roofline performance. the buffer and reshapeable MAC array push the NPU’s attainable performance to the roofline, while the feature of supporting sparsity allows the NPU to obtain performance beyond the roofline.

关键词： Deep learning Runtime Quantization (signal) Program processors Neural networks Random access memory Prototypes

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