检索结果-内蒙古大学图书馆

2005 Workshop on MEmory Performance: DEaling with Applications, systems and Architecture, MEDEA 2005

作者： Ramaswamy, Subramanian Sreeram, Jaswanth Yalamanchili, Sudhakar Palem, Krishna V. Center for Research on Embedded Systems and Technology Georgia Institute of Technology School of Electrical and Computer Engineering G-Atlanta30332-0250 Georgia

Benefits of advances in processor technology have long been held hostage to the widening processor-memory gap. Off-chip memory access latency is one of the most critical parameters limiting system performance. Caches have been used as a way of alleviating this problem by reducing the average memory access latency. The memory bottleneck assumes greater significance for high performance computer architectures with high data throughput requirements such as network processors. This paper addresses the memory bottleneck with the goal of minimizing off-chip memory demand and average memory access latency by proposing the use of small application specific compiler-visible data trace caches. We focus on tree data structures which are responsible for a significant component of the memory traffic in several applications. We have observed that tree accesses create a simple to characterize trace of memory references and propose a data trace cache design to exploit the locality of reference in these data traces. Our study reveals that data trace caches can reduce the total number of misses from 7% to 53% for accesses to rooted tree data structures as compared to a conventional cache for a variety of applications for small cache sizes (256 - 1024 bytes). Such caches are in keeping with the philosophy of victim caches, stream buffers, and pre-fetch buffers in that relatively small investments in silicon can realize substantive reduction in off-chip memory bandwidth demand.

关键词： Forestry

来源：评论

学校读者我要写书评

暂无评论

A Novel Multiobjective Fireworks Algorithm and Its Applications to Imbalanced Distance Minimization Problems

引用

IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1476-1489页

作者： Shoufei Han Kun Zhu MengChu Zhou Xiaojing Liu Haoyue Liu Yusuf Al-Turki Abdullah Abusorrah College of Computer Science and Technology Nanjing University of Aeronautics and Astronauticsand also with the Collaborative Innovation Center of Novel Software Technology and IndustrializationNanjing 211106China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewark NJ 07102 USA Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of Engineeringand also with the K.A.CARE Energy Research and Innovation CenterKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Recently,multimodal multiobjective optimization problems(MMOPs)have received increasing *** goal is to find a Pareto front and as many equivalent Pareto optimal solutions as *** some evolutionary algorithms for them have been proposed,they mainly focus on the convergence rate in the decision space while ignoring solutions *** this paper,we propose a new multiobjective fireworks algorithm for them,which is able to balance exploitation and exploration in the decision *** first extend a latest single-objective fireworks algorithm to handle *** we make improvements by incorporating an adaptive strategy and special archive guidance into it,where special archives are established for each firework,and two strategies(i.e.,explosion and random strategies)are adaptively selected to update the positions of sparks generated by fireworks with the guidance of special ***,we compare the proposed algorithm with eight state-of-the-art multimodal multiobjective algorithms on all 22 MMOPs from CEC2019 and several imbalanced distance minimization *** results show that the proposed algorithm is superior to compared algorithms in solving ***,its runtime is less than its peers'.

关键词： Adaptive strategy fireworks algorithm multimodal multiobjective optimization problems(MMOP)

来源：评论

学校读者我要写书评

暂无评论

Improving the Reliability of Emergency Response Networks using RevolverNet

Improving the Reliability of Emergency Response Networks usi...

引用

11th Workshop on Positioning, Navigation and Communication (WPNC)

作者： Kolios, Panayiotis Laoudias, Christos Panayiotou, Christos KIOS Research Center for Intelligent Systems and Networks and the Department of Electrical and Computer Engineering University of Cyprus|c|

ISBN: (纸本)9781479946716

RevolverNet, operates over wireless ad-hoc networks where nodes communicate in duty cycles. When not at sleep, nodes beacon their own data and listen for data coming from neighboring nodes. Importantly, this mode of operation is increasingly becoming a prominent feature in a variety of communication setups, including emergency response networks (ERNs). RevolverNet is purposefully designed to take advantage of these beaconing mechanisms to gather network intelligence and achieve data dissemination in a purely distributed and local fashion. We examine two favourable features of RevolverNet that are attractive to ERNs, namely topological mapping and node localization that are highly applicable to ERNs. We show how these two features can be extracted from the underlying adhoc network in an efficient manner and how they can subsequently be used to disseminate information in the network. We present preliminary results on the performance of RevolverNet and discuss future work.

关键词： Ad hoc Networks Wireless Beaconing Emergency Response Intelligence Gathering Data Dissemination

来源：评论

学校读者我要写书评

暂无评论

Vehicular Data Offloading under Uncertain Journey Planners

Vehicular Data Offloading under Uncertain Journey Planners

引用

2nd International Conference on Connected Vehicles and Expo (ICCVE)

作者： Kolios, Panayiotis Ellinas, Georgios Panayiotou, Christos KIOS Research Center for Intelligent Systems and Networks Department of Electrical and Computer Engineering University of Cyprus|c|

ISBN: (纸本)9781479924912

Self-information broadcast messages are recurrently send out by vehicular terminals to establish their presence and hence improve situational awareness in road transportation. Importantly, such information snippets could prove invaluable to cloud-based intelligent transportation system services that aim to improve safety, traffic efficiency, and offer a plethora of infotainment services. However, due to the bulk nature of the aggregated load collected by vehicular peers, the delivery of this traffic to the infrastructure proves to be a challenging task. The latter offloading problem is considered in this work, in which each individual vehicular station decides on the offloading strategy that maintains proper utilization of the available infrastructure network. For this purpose, a graph theoretic approach is followed in which stations first estimate the potential of eventually being serviced by an available infrastructure node and then decide on the best offloading strategy that minimizes the load variance between the current and subsequent serving nodes. Performance analysis results illustrate that the proposed solution provides substantial load balancing gains and is computationally efficient to implement in practice for arbitrarily large network instances.

关键词： Vehicular Networks Cellular Networks Heterogeneous Intelligent Transportation systems Vehicular Data Offloading

来源：评论

学校读者我要写书评

暂无评论

In vivo microelectrode arrays for neuroscience

Nature Reviews Methods Primers

引用

Nature Reviews Methods Primers 2025年第1期5卷 1页

作者： Williams, Nathaniel P. Voroslakos, Mihaly Shi, Delin Pwint, May Yoon Lanzio, Vittorino Mao, Hongwei Zolotavin, Pavlo Yoon, Euisik Stieglitz, Thomas Xie, Chong Harris, Timothy D. Schwartz, Andrew B. Cui, Xinyan Tracy Department of Bioengineering University of Pittsburgh Pittsburgh PA United States Center for the Neural Basis of Cognition Pittsburgh PA United States Neuroscience Institute and Department of Neurology NYU Grossman School of Medicine New York University New York NY United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI United States Systems Neuroscience Center University of Pittsburgh Pittsburgh PA United States Department of Electrical and Computer Engineering Rice University Houston TX United States Department of Biomedical Engineering University of Michigan Ann Arbor MI United States Department of Mechanical Engineering University of Michigan Ann Arbor MI United States Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul South Korea Laboratory for Biomedical Microtechnology Department of Microsystems Engineering-IMTEK University of Freiburg Freiburg Germany BrainLinks-BrainTools University of Freiburg Freiburg Germany Rice Neuroengineering Initiative Rice University Houston TX United States Department of Bioengineering Rice University Houston TX United States Janelia Research Campus Howard Hughes Medical Institute Ashburn VA United States Department of Biomedical Engineering Johns Hopkins University Baltimore MD United States

Microelectrode arrays (MEAs) are devices capable of recording extracellular action potentials (spikes) from many neurons simultaneously and with high spatial and temporal resolution. MEAs have emerged as an invaluable tool for understanding how networks of neurons govern complex sensory, motor and decision-making processes. In this Primer, we introduce various in vivo MEA designs and describe their construction, characterization and applications. We describe approaches for effective device implantation and the use of MEA recordings in behavioural experiments. We then discuss strategies for obtaining high-quality and stable electrophysiological recordings, including through mitigating the foreign body reaction. We introduce the reader to spike sorting approaches with a focus on semi-automated sorting of high-channel-count data, as well as to the analysis of sorted spikes and their uses. Finally, we cover future trends and emerging MEA technology designed to expand current capabilities and overcome limitations, with a focus on biomimetic and multifunctional devices. This Primer should provide the reader with a foundation in the fundamental principles of MEA technology for in vivo use. © Springer Nature Limited 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An integrated decision support framework for exploring the barriers and potential application scenarios in metaverse hospitality

引用

Journal of Industrial Information Integration 2025年 45卷

作者： Wu, Qun Tan, Weiqi Zhou, Ligang Deveci, Muhammet Pamucar, Dragan Pedrycz, Witold School of Mathematical Sciences Anhui University Hefei230601 China Anhui University Center for Applied Mathematics Anhui University Hefei Anhui230601 China Department of Industrial Engineering Turkish Naval Academy National Defence University Istanbul34942 Tuzla Turkey Royal School of Mines Imperial College London LondonSW7 2AZ United Kingdom Department of Information Technologies Western Caspian University Baku1001 Azerbaijan Faculty of Organizational Sciences University of Belgrade Belgrade11000 Serbia Department of Electrical and Computer Engineering University of Alberta Edmonton ABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland

The global hospitality industry is undergoing a profound transformation, primarily driven by the internet era within the context of Industry 4.0 and the continuous evolution of the metaverse. The metaverse offers limitless possibilities for creating immersive and personalized accommodation experiences by closely integrating the virtual with the real world. It also provides a new perspective and mindset for guiding the hospitality industry to rethink and redesign service models and business processes. Although the metaverse application in the hospitality industry has already made significant progress, this process still faces numerous barriers, and the specific application scenarios of the metaverse hospitality industry (MHI) remain unclear. This study aims to develop an integrated decision support framework for exploring the barriers and potential application scenarios in metaverse hospitality. First, the interval type-2 fuzzy sets (IT2FSs) is introduced to quantify the complex and uncertain information in the decision-making procedure. Second, the IT2F-BWM with the IT2F weighted averaging (IT2FWA) operator is proposed to calculate the barriers’ weights considering the group opinions. Third, the IT2FWA operator and IT2F-ExpTODIM method are incorporated to prioritize the potential application scenarios in MHI. Finally, a case study on the prioritization of barriers and application scenarios in MHI is utilized to test the effectiveness and practicality of the presented framework. Results show that the technology barrier (0.5217) and the interaction technology (0.2483) have the highest levels among the main and sub-main barrier hierarchies, respectively. The findings of this article may enrich the theories of uncertain decision-making methods and provide instructive suggestions for the operation and management of metaverse hospitality practice. © 2025 Elsevier Inc.

关键词： IT2F-BWM IT2F-ExpTODIM Metaverse hospitality Multi-criteria decision-making

来源：评论

学校读者我要写书评

暂无评论

Roadmap on Neuromorphic Photonics

arXiv

引用

arXiv 2025年

作者： Brunner, Daniel Shastri, Bhavin J. Al-Qadasi, Mohammed A. Ballani, H. Barbay, Sylvain Biasi, Stefano Bienstman, Peter Bilodeau, Simon Bogaerts, Wim Böhm, Fabian Brennan, G. Buckley, Sonia Cai, Xinlun Strinati, Marcello Calvanese Canakci, B. Charbonnier, Benoit Chemnitz, Mario Chen, Yitong Cheung, Stanley Chiles, Jeff Choi, Suyeon Christodoulides, Demetrios N. Chrostowski, Lukas Chu, J. Clegg, J.H. Cletheroe, D. Conti, Claudio Dai, Qionghai Di Lauro, Luigi Diamantopoulos, Nikolaos-Panteleimon Dinc, Niyazi Ulas Ewaniuk, Jacob Fan, Shanhui Fang, Lu Franchi, Riccardo Freire, Pedro Gentilini, Silvia Gigan, Sylvain Giorgi, Gian Luca Gkantsidis, C. Gladrow, J. Goi, Elena Goldmann, M. Grabulosa, A. Gu, Min Guo, Xianxin Hejda, Matěj Horst, F. Hsieh, Jih-Liang Hu, Jianqi Hu, Juejun Huang, Chaoran Hurtado, Antonio Jaurigue, Lina Kalinin, K.P. Kamalian-Kopae, Morteza Kelly, D.J. Khajavikhan, Mercedeh Kremer, H. Laydevant, Jeremie Lederman, Joshua C. Lee, Jongheon Lenstra, Daan Li, Gordon H.Y. Li, Mo Li, Yuhang Lin, Xing Lin, Zhongjin Lis, Mieszko Lüdge, Kathy Lugnan, Alessio Lupo, Alessandro Lvovsky, A.I. Manuylovich, Egor Marandi, Alireza Marchesin, Federico Massar, Serge McCaughan, Adam N. McMahon, Peter L. Moralis-Pegios, Miltiadis Morandotti, Roberto Moser, Christophe Moss, David J. Mukherjee, Avilash Nikdast, Mahdi Offrein, B.J. Oguz, Ilker Oripov, Bakhrom O'Shea, G. Ozcan, Aydogan Parmigiani, F. Pasricha, Sudeep Pavanello, Fabio Pavesi, Lorenzo Peserico, Nicola Pickup, L. Pierangeli, Davide Pleros, Nikos Porte, Xavier Primavera, Bryce A. Prucnal, Paul Psaltis, Demetri Puts, Lukas Qiao, Fei Rahmani, B. Raineri, Fabrice Ríos Ocampo, Carlos A. Robertson, Joshua Romeira, Bruno Roques-Carmes, Charles Rotenberg, Nir Rowstron, A. Schoenhardt, Steffen Schwartz, Russell L.T. Shainline, Jeffrey M. Shekhar, Sudip Skalli, A. Sohoni, Mandar M. Sorger, Volker J. Soriano, Miguel C. Spall, James Stabile, Ripalta Stiller, Birgit Sunada, Satoshi Tefas, Anastasios Tossoun, Bassem Tsakyridis, Apostolos Turitsyn, Sergei K. Van der Sande, G Université Marie et Louis Pasteur CNRS UMR 6174 Institut FEMTO-ST Besançon25000 France Centre for Nanophotonics Department of Physics Engineering Physics & Astronomy Queen's University Canada Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada Microsoft Research Cambridge United Kingdom Université Paris-Saclay CNRS Centre de Nanosciences et de Nanotechnologies France Nanoscience Laboratory Department of Physics University of Trento Italy Photonics Research Group Department of Information Technology Ghent University imec Belgium Princeton University NJ United States Hewlett Packard Labs Hewlett Packard Enterprise Böblingen Germany National Institute of Standards and Technology BoulderCO United States State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat-sen University China Enrico Fermi Research Center Rome Italy Université Grenoble-Alpes CEA Leti Grenoble France Leibniz-Institute of Photonic Technology Jena Germany Institute of Applied Optics and Biophysics Jena Germany Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering North Carolina State University NC United States Department of Electrical Engineering Stanford University CA United States University of Southern California Los AngelesCA United States Department of Physics Sapienza University Rome Italy Institute for Complex Systems National Research Council Rome Italy Varennes Canada NTT Device Technology Labs NTT Corporation Kanagawa Atsugi Japan Institute of Electrical and Microengineering School of Engineering École Polytechnique Fédérale de Lausanne Switzerland Edward L. Ginzton Laboratory Stanford University StanfordCA United States Department of Electronic Engineering Tsinghua University China Beijing National Research Center for Information Science and Technology Tsinghua University China Aston Univ

Neuromorphic photonics are processors inspired by the human brain and enabled by light (photons) instead of traditional electronics. Neuromorphic photonics and its associated concepts are experiencing a significant resurgence, building on foundational research from the 1980s and 1990s. This renewed momentum is driven by breakthroughs in photonic integration, nonlinear optics, and advanced materials, alongside the growing necessity of neuro-inspired computing in numerous applications of economic and societal relevance. The increasing demand for energy-efficient artificial intelligence (AI) solutions underscores the need for innovation and a cohesive vision to address key challenges, including scalability, energy efficiency, precision, and standardized performance benchmarks. Together, these efforts present an opportunity to establish a unique photonic advantage with practical, real-world applications. This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field. The roadmap introduces various approaches to embedding the high-complexity transformations central to neuromorphic computing, focusing on frequency, delay, and spectral embeddings. This is followed by a discussion of architectures of photonic neural networks (PNNs) and an in-depth analysis of methods for implementing these architectures in photonic hardware. Dedicated sections delve into integrated photonic hardware, the realization of photonic weights and memories, and the optimization of training processes for photonic neuromorphic architectures. The roadmap concludes by exploring numerous potential applications, highlighting the challenges and advances necessary to transition neuromorphic photonic computing from a primarily academic pursuit to a technolog

关键词： Philosophical aspects

来源：评论

学校读者我要写书评

暂无评论

Science Letters:A robust polysilicon-assisted SCR in ESD protection application

引用

Journal of Zhejiang University-Science A(Applied Physics & engineering) 2007年第12期8卷 1879-1883页

作者： CUI Qiang HAN Yan DONG Shu-rong LIOU Juin-jie ESD Lab Institute of Microelectronics and Photoelectronics Zhejiang University Hangzhou 310027 China Research Center for Embedded System Zhejiang University Hangzhou 310027 China Department of Electrical and Computer Engineering University of Central Florida Orlando 32816 USA

A novel polysilicon-assisted silicon-controlled rectifier （SCR） is presented and analyzed in this paper, which is fabricated in HHNEC＇s 0.18μm EEPROM process. The polysilicon-assisted SCRs take advantage of polysilicon layer to help bypass electro-static discharge （E S D） current without occupying extra layout area. TLP current-voltage （I-V） measurement results show that given the same layout areas, robustness performance of polysilicon-assisted SCRs can be improved to 3 times of conventional MLSCR＇s. Moreover, one-finger such polysilicon-assisted SCRs, which occupy only 947 [3mz layout area, can undergo 7-kV HBM ESD stress. Results further demonstrate that the S-type I-V characteristics of polysilicon-assisted SCRs are adjustable to different operating conditions by changing the device dimensions. Compared with traditional SCRs, this new SCR can bypass more ESD currents and consumes smaller IC area.

关键词： Electro-static discharge （ESD） Silicon-controlled rectifier （SCR） Robustness performance Polysilicon-assisted Human body model （HBM）

来源：评论

学校读者我要写书评

暂无评论

Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images

引用

Physical Review Applied 2025年第3期23卷 034035-034035页

作者： Niko R. Reed Danyal Bhutto Matthew J. Turner Declan M. Daly Sean M. Oliver Jiashen Tang Kevin S. Olsson Nicholas Langellier Mark J.H. Ku Department of Physics University of Maryland College Park Maryland USA Quantum Technology Center University of Maryland College Park Maryland USA Joint Quantum Institute University of Maryland College Park Maryland USA Department of Biomedical Engineering Boston University Boston Massachusetts USA A. A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown Massachusetts USA Department of Electrical and Computer Engineering University of Maryland College Park Maryland USA The MITRE Corporation McLean Virginia 22102 USA Intelligence Community Postdoctoral Research Fellowship Program University of Maryland College Park Maryland 20742 USA Department of Physics Harvard University Cambridge Massachusetts USA Present address: VideaHealth Inc. Boston MA. Department of Materials Science and Engineering University of Delaware Newark Delaware 19716 USA Department of Physics and Astronomy University of Delaware Newark Delaware 19716 USA Present address: Northrop Grumman Mission Systems Linthicum Maryland 21090 USA.

The reconstruction of electrical current densities from magnetic field measurements is an important technique with applications in materials science, circuit design, quality control, plasma physics, and biology. Analytic reconstruction methods exist for planar currents, but break down in the presence of high-spatial-frequency noise or large standoff distance, restricting the types of systems that can be studied. Here, we demonstrate the use of a deep convolutional neural network for current density reconstruction from two-dimensional images of vector magnetic fields acquired by a quantum diamond microscope . Trained network performance significantly exceeds analytic reconstruction for data with high noise or large standoff distances. This machine learning technique can perform quality inversions on lower-signal-to-noise-ratio data, significantly reducing the data collection time and permitting reconstructions of weaker and three-dimensional current sources.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

引用

IEEE/CAA Journal of Automatica Sinica 2021年第6期8卷 1199-1209页

作者： Ziyan Zhao Shixin Liu MengChu Zhou Abdullah Abusorrah State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering Northeastern UniversityShenyang 110819China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewark NJ 07102 USA Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz UniversityJeddah 21481Saudi Arabia Department of Electrical and Computer Engineering Faculty of Engineeringand Center of Research Excellence in Renewable Energy and Power SystemsKing Abdulaziz UniversityJeddah 21481Saudi Arabia

Group scheduling problems have attracted much attention owing to their many practical *** work proposes a new bi-objective serial-batch group scheduling problem considering the constraints of sequence-dependent setup time,release time,and due *** is originated from an important industrial process,i.e.,wire rod and bar rolling process in steel production *** objective functions,i.e.,the number of late jobs and total setup time,are minimized.A mixed integer linear program is established to describe the *** obtain its Pareto solutions,we present a memetic algorithm that integrates a population-based nondominated sorting genetic algorithm II and two single-solution-based improvement methods,i.e.,an insertion-based local search and an iterated greedy *** computational results on extensive industrial data with the scale of a one-week schedule show that the proposed algorithm has great performance in solving the concerned problem and outperforms its *** high accuracy and efficiency imply its great potential to be applied to solve industrial-size group scheduling problems.

关键词： Insertion-based local search iterated greedy algorithm machine learning memetic algorithm nondominated sorting genetic algorithm II(NSGA-II) production scheduling

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：