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2010 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2010

作者： Muñoz, Daniel M. Llanos, Carlos H. Dos S. Coelho, Leandro Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia DF Brazil Industrial and Systems Engineering Graduate Program LAS/PPGPES Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia DF Brazil

ISBN: (纸本)9780769543147

Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering problems that require to find an optimal point of operation. However, the PSO algorithm suffers from premature convergence and high elapsed time when solving multimodal and large scale engineering problems. This problem becomes an evident drawback for embedded applications in which the microcontrollers often operates at low computational capacity. This paper proposes a hardware implementation of a parallel self-adaptive PSO algorithm based on an attractive-repulsive scheme and using the efficient floating-point arithmetic which performs computations with large dynamic range and high precision. The parallel capabilities of the PSO are exploited by implementing parallel particles directly in hardware in order to decrease the running time. In addition, the attractive-repulsive technique avoids the premature convergence problem by self-adapting the swarm behavior according to its diversity. Synthesis and simulation results for benchmark test problems were performed, demonstrating the correctness of the proposed architectures. Finally, an elapsed time comparison between the hardware and software implementations shows the suitableness of the proposed architecture for embedded applications. © 2010 IEEE.

关键词： Global optimization

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SpMT WaveCache: Exploiting Thread-Level Parallelism in WaveScalar

SpMT WaveCache: Exploiting Thread-Level Parallelism in WaveS...

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computer Science and Information engineering, CSIE, WRI World Congress on FLAGGED

作者： Songwen Pei Baifeng Wu Min Du Gang Chen Leandro A.J. Marzulo Felipe M.G. Franca School of Computer Science Fudan University Shanghai China Systems Engineering and Computer Science Program COPPE Rio de Janeiro Brazil

Speculative multithreading (SpMT) increases the performance by means of executing multiple threads speculatively to exploit thread-level parallelism. By combining software and hardware approaches, we have improved the capabilities of previous WaveScalar ISA on the basis of transactional memory system for the WaveCache Architecture. Threads are extracted at the course of static compiling, and speculatively executed as a thread-level transaction that is supported by extra hardware components, such as thread-context-table (TCT) and thread-memory-history (TMH). We have evaluated the SpMT WaveCache with 6 real benchmarks from SPEC, Mediabench and Mibench. On the whole, the SpMT WaveCache outperforms superscalar architecture ranging from 2times to 3times, and great performance gains are achieved over original WaveCache and transactional WaveCache as well.

关键词： Yarn Parallel processing Multithreading Hardware computer science computer architecture Instruction sets Out of order program processors Protocols

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Analyzing the Behavioral Aspects of Implementing Green IT in an Academic Environment 8

Analyzing the Behavioral Aspects of Implementing Green IT in...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Syamsuar, Dedy Triando, Fero Ulfa, Maria Antoni, Darius Mailangkay, Adele Witarsyah, Deden School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Universitas Bina Darma Postgradute Department Palembang Indonesia Universitas Bina Darma Information System Study Program Computer Science Faculty Palembang Indonesia Universitas Indo Global Mandiri Faculty of Computer Science Palembang Indonesia School of Industrial Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350326093

Environmental awareness has recently emerged as one of the most crucial topics. As a result, various groups advocate for these technologies and research ways to promote their usage in various contexts. This study examines the factors influencing the intention and use of green technology among academics. This study integrates Price Value (PV) and Consideration of future consequence (CFC) to Theory Planned Behavior (TPB) as a theoretical basis. Two hundred five valid replies were gathered and processed through statistical analysis. The results of this study partly support the developed hypotheses. Four hypotheses developed from TPB have presented significant relationships. However, PV and CFC were not. The findings indicate that individuals in this study did not consider CFC or PV of green IT products as critical factors in their decision-making process. Findings also suggest that for implementation success, competent parties must consider the campaign to increase individual awareness and provide financial support regarding environmental policy. © 2023 IEEE.

关键词： Decision making

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Prediction of protein subcellular localization in single cells

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Nature Methods 2025年 1-11页

作者： Zhang, Xinyi Tseo, Yitong Bai, Yunhao Chen, Fei Uhler, Caroline Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Eric and Wendy Schmidt Center Broad Institute of MIT and Harvard Cambridge MA United States Computational and Systems Biology Program Massachusetts Institute of Technology Cambridge MA United States Broad Institute of MIT and Harvard Cambridge MA United States Department of Stem Cell and Regenerative Biology Harvard University Cambridge MA United States

The subcellular localization of a protein is important for its function, and its mislocalization is linked to numerous diseases. Existing datasets capture limited pairs of proteins and cell lines, and existing protein localization prediction models either miss cell-type specificity or cannot generalize to unseen proteins. Here we present a method for Prediction of Unseen Proteins’ Subcellular localization (PUPS). PUPS combines a protein language model and an image inpainting model to utilize both protein sequence and cellular images. We demonstrate that the protein sequence input enables generalization to unseen proteins, and the cellular image input captures single-cell variability, enabling cell-type-specific predictions. Experimental validation shows that PUPS can predict protein localization in newly performed experiments outside the Human Protein Atlas used for training. Collectively, PUPS provides a framework for predicting differential protein localization across cell lines and single cells within a cell line, including changes in protein localization driven by mutations. © The Author(s), under exclusive licence to Springer Nature America, Inc. 2025.

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Communication network requirements for the Smart Grid and a path for an ip based protocol for customer driven microgrids

Communication network requirements for the Smart Grid and a ...

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2012 IEEE Energytech, Energytech 2012

作者： Bukowski, S. Ranade, S.J. Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces NM United States Sandia National Labs. Energy Systems Analysis Group United States Electrical Utility Management Program United States

ISBN: (纸本)9781467318365

This paper looks at the significance of bi-directional communication in the Smart Grid and the customer driven microgrid, a basic building block of the smart grid. It presents a classification model of communication requirements from the top down and bottom up perspective. Ultimately this paper presents future areas of work for microgrid operation that can be facilitated by a protocol specifically developed for energy systems and leverage upon IP, the network layer protocol that will provide the broad level of interoperability in the Smart Grid. © 2012 IEEE.

关键词： Data Link Layer

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Energy efficient mapping and voltage islanding for regular NoC under design constraints

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International Journal of High Performance systems Architecture 2010年第3-4期2卷 132-144页

作者： Ghosh, Pavel Sen, Arunabha Computer Science Program School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85281 United States

Computational energy consumption of the processing elements (PEs) of a NoC can be significantly reduced by scaling down their voltage levels. This creates clusters of adjacent PEs operating at the same voltage level, known as voltage islands. Excessive number of voltage islands is undesirable from the physical design perspective and due to the overhead of level shifter energy consumption between adjacent voltage islands. Considering these issues during mapping of the PEs to the NoC routers, can potentially lead to acceptable solutions with reduced overall energy consumption. In this paper, we formulate the mapping problem as an optimisation problem. We present both optimal solution, obtained by solving a mixed integer linear program (MILP), and heuristic solution based on random greedy selection. Experimental results using benchmark and real applications show that the heuristic finds near-optimal solution in almost all cases in a very small fraction of the time required to achieve the optimal solution. Copyright © 2010 Inderscience Enterprises Ltd.

关键词： Network-on-chip

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A Review on Active Customers'Participation in Smart Grids

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Journal of Modern Power systems and Clean Energy 2023年第1期11卷 3-16页

作者： Konrad Schmitt Rabindra Bhatta Manohar Chamana Mahtab Murshed Ilham Osman Stephen Bayne Luciane Canha Electrical and Computer Engineering Department Texas Tech UniversityLubbockTX79409USA Wind Energy Program Texas Tech UniversityLubbockTX79409USA Electromechanical and Power Systems Department Federal University of Santa MariaSanta MariaRS97105-900Brazil Design Release Engineer at Electrification and Power conversion General MotorsGM Tech Center RoadWarrenMI48092USAl IEEE

Industrial,commercial,and residential facilities are progressively adopting automation and generation *** having flexible demand and renewable energy generation,traditional passive customers are becoming active participants in electric power system *** profound coordination among grid operators and active customers,the facilities’capability for demand response(DR)and distributed energy resource(DER)management will be valuable asset for ancillary services(ASs).To comply with the increasing demand and flexible energy,utilities urgently require standards,regulations,and programs to efficiently handle load-side resources without trading off stability and *** study reviews different types of customers’flexibilities for DR,highlighting their capabilities and limitations in performing local ancillary services(LASs),which should benefit the power grid by profiting from it through incentive *** financial incentives and techniques employed around the world are presented and *** potential barriers in technical and regulatory aspects are successfully identified and potential solutions along with future guidance are discussed.

关键词： Active distribution network(ADN) ancillary services energy management flexible demand resiliency

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Information Extraction to Improve Link Prediction in Scientific Social Networks

Information Extraction to Improve Link Prediction in Scienti...

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IEEE International Conference on computer Supported Cooperative Work in Design

作者： Victor Stroele Fernanda Campos Crystiam K. Pereira Geraldo Zimbrao Jano M. Souza PGCC - Postgraduate Program in Computer Science UFJF - Federal University of Juiz de Fora COPPE - Systems Engineering and Computer Program UFRJ - Federal University of Rio de Janeiro

ISBN: (纸本)9781509019168

Link Prediction is a classic social networks analysis problem. Knowing in advance future actions in social network can help, for example, agents decision. Link Prediction techniques are based on metrics that have different approaches. In this paper, we model a multi-relational scientific social network to assess the impact of content extraction on topological metrics. Thus, a metric composed of topological and semantic approach is proposed to solve link prediction problem. The results were compared with those presented by Katz metric.

关键词： Information Extraction Link Prediction Scientific Social Network

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Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation 14

Improving Performance of Federated Learning based Medical Im...

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14th International Conference on Information Security and Cryptology, ISCTURKEY 2021

作者： Cetinkaya, Alper Emin Akin, Murat Sagiroglu, Seref Gazi University Information Security Program Ankara Turkey Gazi Ai Center of Gazi University Basarsoft Information Systems Inc. Ankara Turkey Gazi University Gazi Ai Center Computer Engineering Dept. Ankara Turkey

ISBN: (纸本)9781665407762

Federated Learning (FL) is a suitable solution for making use of sensitive data belonging to patients, people, companies, or industries that are obligatory to work under rigid privacy constraints. FL mainly or partially supports data privacy and security issues and provides an alternative to model problems facilitating multiple edge devices or organizations to contribute a training of a global model using a number of local data without having them. Non-IID data of FL caused from its distributed nature presents a significant performance degradation and stabilization skews. This paper introduces a novel method dynamically balancing the data distributions of clients by augmenting images to address the non-IID data problem of FL. The introduced method remarkably stabilizes the model training and improves the model's test accuracy from 83.22% to 89.43% for multi-chest diseases detection of chest X-ray images in highly non-IID FL setting. The results of IID, non-IID and non-IID with proposed method federated trainings demonstrated that the proposed method might help to encourage organizations or researchers in developing better systems to get values from data with respect to data privacy not only for healthcare but also other fields. © 2021 IEEE.

关键词： Sensitive data

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Strategies for pathway-based analysis of genome-wide SNP data

Strategies for pathway-based analysis of genome-wide SNP dat...

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Defense Science Research Conference and Expo (DSR)

作者： P. Patumcharoenpol J. Chan S. Prom-On A. Meechai Bioinformatics and Systems Biology Program School of Information Technology Computer Engineering Department Biological Engineering Program King Mongkut's University of Technology Thonburi Bangkok Thailand

Numerous genome-wide association studies (GWAS) have been performed in order to determine the susceptible loci of diseases. However, most diseases still cannot be explained by a single locus. Pathway-based methods address this problem by combining those small effects into groups of related genes or pathways. However, because pathway-based approaches consist of multiple steps, there is much room for improvement. This paper presents an improved method for translating list of SNPs from GWAS into list of genes. We incrementally adjusted and compared different modifications applied to Parkinson's disease (PD) genome-wide SNP data and then used GSEA-P to analyze the resulting list of genes. After careful adjustments, we are able to identify more relevant pathways that were not found previously.

关键词： Bioinformatics Genomics Cancer Parkinson's disease Databases

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