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arXiv 2024年

作者： Farhad Hosseini-Benvidi, S. Motamednia, Hossein Mansouri, Azadeh Raei, Mohammadreza Mahmoudi-Aznaveh, Ahmad Department of Electrical and Computer Engineering Faculty of Engineering Kharazmi University Tehran Iran High Performance Computing Laboratory School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran Cyber Research Institute Shahid Beheshti University Tehran Iran

It is well-known that there is no universal metric for image quality evaluation. In this case, distortion-specific metrics can be more reliable. The artifact imposed by image compression can be considered as a combination of various distortions. Depending on the image context, this combination can be different. As a result, Generalization can be regarded as the major challenge in compressed image quality assessment. In this approach, stacking is employed to provide a reliable method. Both semantic and low-level information are employed in the presented IQA to predict the human visual system. Moreover, the results of the Full-Reference (FR) and No-Reference (NR) models are aggregated to improve the proposed Full-Reference method for compressed image quality evaluation. The accuracy of the quality benchmark of the clic2024 perceptual image challenge was achieved 79.6%, which illustrates the effectiveness of the proposed fusion-based approach. © 2024, CC BY.

关键词： Image compression

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Quality Assessment of Screen Content Videos

Quality Assessment of Screen Content Videos

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International Conference on Pattern Recognition and Image Analysis (IPRIA)

作者： Hossein Motamednia Pooryaa Cheraaqee Azadeh Mansouri Ahmad Mahmoudi-Aznaveh Department of Electrical and Computer Engineering Faculty of Engineering Kharazmi University Tehran Iran High Performance Computing Laboratory School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran Cyber Research Institute Shahid Beheshti University Tehran Iran

Perceptual quality assessment has always been challenging due to the difficulty in modeling the no-linear human visual system. With the diversity in the contents of multimedia signals, the conventional methods for traditional media seems no longer satisfying. One of these emerging media, is the screen content images/videos (SCINs), Containing texts and computer generated graphics, SCVs cannot be sufficiently expressed with features designed for natural sceneries. Therefore, new researches tried to devise objective quality assessment metrics, specificly for screen contents. Recently, a dataset was proposed for quality assessment of screen content videos. Since screen contents are full of structures that spread in cardinal directions, we were motivated to employ the horizontal and vertical subbands of the wavelet transform to characterize these types of visual contents. The features were incorporated in a full-reference method that showed promising results on the publicly available dataset for SCV quality assessment. The method can bo accessed via: https://***/motamedNia/QASCV.

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A Comparative Study of the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization 1st

A Comparative Study of the Coulomb’s and Franklin’s Laws I...

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1st International Conference on Pervasive Knowledge and Collective Intelligence on Web and Social Media, PerSOM 2022

作者： Ghasemi, Mojtaba Zare, Mohsen Zahedi, Amir Hemmati, Rasul Abualigah, Laith Forestiero, Agostino Department of Electronics and Electrical Engineering Shiraz University of Technology Shiraz Iran Department of Electrical Engineering Faculty of Engineering Jahrom University Fras Jahrom Iran Department of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran Department of Electrical and Computer Engineering Marquette University MilwaukeeWI United States Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan Faculty of Information Technology Middle East University Amman11831 Jordan Applied Science Research Center Applied Science Private University Amman11931 Jordan School of Computer Sciences Universiti Sains Malaysia Pulau Pinang George Town11800 Malaysia Computer Science Department Prince Hussein Bin Abdullah Faculty for Information Technology Al Al-Bayt University Mafraq25113 Jordan Institute for High Performance Computing and Networking National Research Council of Italy Rende Italy

ISBN: (纸本)9783031314681

Coulomb and Franklin’s electricity laws are used in this paper to model an efficient optimization algorithm based on electric particle searches, which has been named CFA. For the CFA optimizer, the influence of electrically charged particles on each other in charged things has been predicated on the forces of attraction and repulsion. Evolutionary algorithms (EA) such as hybrid real coded genetic algorithm (RCGA) which combines the global and local search (GL-25), differential evolution (DE) with strategy adaptation (SaDE), composite DE (CoDE), the improved standard particle swarm optimization 2011 (SPSO2013) and the grouped comprehensive learning PSO (GCLPSO) are compared to the CFA optimizer for finding global solutions of seven basic benchmark functions of high dimension D = 50. (GCLPSO). Experiments have shown that the suggested CFA optimizer is quite effective and competitive for the benchmark functions. Note that the source code of the CFA algorithm is publicly available at https://***/projects/cfa, https://***/matlabcentral/fileexchange/127727-franklin-s-laws-inspired-algorithm-cfa. © 2023, ICST Institute for computer sciences, Social Informatics and Telecommunications engineering.

关键词： Charged particles

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Recent advances in electromagnetic compatibility of 3D-ICs - Part i

Recent advances in electromagnetic compatibility of 3D-ICs -...

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作者： Sicard, Etienne Jianfei, Wu Shen, R.J. Li, Er-Ping Liu, En-Xiao Kim, J. Cho, Jonghyun Swaminathan, Madhavan INSA/GEI 135 Avenue de Rangueil 31077 Toulouse France School of Electronic Science and Engineering NUDT Changsha Hunan 410073 China Institute of High Performance Computing ASTAR 1 Fusionopolis Way Singapore 138632 Singapore Daejeon Korea Republic of John Pippin Department in Electromagnetics School of Electrical and Computer Engineering Interconnect and Packaging Center Georgia Institute of Technology AtlantaGA30332-0250 United States

Electromagnetic interference (EMI) issues are becoming crucial for three-dimensional integrated components which combine multi-core Systems-On-Chip, multi-band radio frequency circuits (RF), Giga-bit memories, as well as advanced analog circuits. In this first paper, the technology roadmap towards 3D-ICs is illustrated and the associated EMC challenges are described. This first paper also focuses on the role of interposers, associated electrical parasitics, and addresses concerns about signal and power integrity.

关键词： Electromagnetic compatibility

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A K-Nearest Centroid Neighbor with attention Classifier 2021

A K-Nearest Centroid Neighbor with attention Classifier

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2021 5th International Conference on computer science and Artificial Intelligence

作者： Rui Huang Ying Ma Tian Wang GuoQi Li Ming Yan Department of Computer and Information Engineering Xiamen University of Technology China Beijing Normal University (BNU Zhuhai) China Department of Precision Instrument Center for Brain Inspired Computing Research China Institute of High Performance Computing Agency for Science Technology and Research Singapore

ISBN: (纸本)9781450384155

Among classic algorithms of data mining, the K-nearest neighbor based methods are simple and effective pattern classification algorithms. However, most KNN-based methods do not fully take into account the impact of different training sample points on classification, lead to inaccurate classification. To address this issue, we propose a scheme named Attention-based local mean K-Nearest Centroid Neighbor Classifier (ALMKNCN), combining nearest centroid neighbor with attention mechanism, the influence of each training sample on the query sample is fully considered. Given the query pattern, we first calculate the local centroid mean vector for each class, and then use the idea of attention mechanism to calculate the weight of pseudo-distance between each class and test sample. Finally, based on attention coefficient, the distances between the query sample and local mean vectors are weighted to determine the class of the query sample. Extensive experiments on UCI and KEEL data sets are carried out by comparing ALMKNCN to the state-of-art KNN-based methods. The experimental results demonstrate that the proposed ALMKNCN outperforms the related competitive KNN-based methods with more effectiveness.

关键词： Pattern classification Attention mechanism Data mining K-Nearest Neighbor

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SP-Chain: Boosting Intra-Shard and Cross-Shard Security and performance in Blockchain Sharding

arXiv

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arXiv 2024年

作者： Li, Mingzhe Lin, You Wang, Wei Zhang, Jin The Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China The Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong The Institute of High Performance Computing A*STAR Singapore The Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China The Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China

A promising way to overcome the scalability limitations of the current blockchain is to use sharding, which is to split the transaction processing among multiple, smaller groups of nodes. A well-performed blockchain sharding system requires both high performance and high security in both intra- and cross-shard perspectives. However, existing protocols either have issues on protecting security or trade off great performance for security. In this paper, we propose SP-Chain, a blockchain sharding system with enhanced Security and performance for both intra- and cross-shard perspectives. For intra-shard aspect, we design a two-phase concurrent voting scheme to provide high system throughput and low transaction confirmation latency. Moreover, we propose an efficient unbiased leader rotation scheme to ensure high performance under malicious behavior. For cross-shard aspect, a proof-assisted efficient cross-shard transaction processing mechanism is proposed to guard the cross-shard transactions with low overhead. We implement SP-Chain based on Harmony, and evaluate its performance via large-scale deployment. Extensive evaluations suggest that SP-Chain can process more than 10,000 tx/sec under malicious behaviors with a confirmation latency of 7.6s in a network of 4,000 nodes. Copyright © 2024, The Authors. All rights reserved.

关键词： Blockchain

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Comparison of Multi-Phase Power Converters and Power Delivery Networks for Next-Generation Space Architectures

Comparison of Multi-Phase Power Converters and Power Deliver...

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IEEE Conference on Aerospace

作者： Nicholas Franconi Thomas Cook Christopher Wilson Alan D. George NASA Goddard Space Flight Center Science Data Processing Branch Code 587 Software Engineering Division Department of Electrical and Computer Engineering NSF Center for Space High-Performance and Resilient Computing (SHREC) University of Pittsburgh

Next-generation spacecraft developers are earnestly investigating the application of artificial intelligence (AI) algorithms onboard to enable new mission concepts for space exploration and science. However, the current generation of radiation-hardened processors are inferior compared to commercial-off-the-shelf alternatives in terms of the computational performance required by modern AI applications. To address this disparity, space-system designers have started employing novel radiation-tolerant architectures combining both commercial and radiation-hardened components to mitigate radiation effects at a system level. Unfortunately, developing single-board computers with radiation-tolerant, high-performance processors is challenging because designers must balance the sparce selection of radiation-hardened power converters and high-reliability decoupling capacitors with SmallSat/CubeSat area constraints and limited thermal conduction. Consequently, the next-generation of space processors, including the AMD-Xilinx Versal Adaptive Compute Acceleration Platform require demanding power solutions capable of supplying core rails with 0.8V ± 18mV and currents up to 150 A. In this paper, we present a multifaceted analysis of the power system and decoupling network for a future Versal-based design. We developed preliminary power estimates based on expected processor and FPGA resource utilization for common AI processing applications. These estimates drive the power system requirements and a comparative analysis of single-phase integrated converters and multi-phase discrete converters for high-current FPGA supplies. We develop a tradespace between the number of phases, input voltage, load current, switching frequency, power efficiency, and printed circuit board area. Finally, we design and simulate four power delivery networks based on commercial, high-reliability, and flight-qualified capacitors to compare the efficacy of 0201 decoupling capacitors in flight missions.

关键词： Rails Program processors Capacitors Voltage Power systems Resource management Artificial intelligence

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Software engineering for IoT-driven data analytics applications

arXiv

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arXiv 2021年

作者： Ahmad, Aakash Fahmideh, Mahdi Altamimi, Ahmed B. Katib, Iyad Albeshri, Aiiad Alreshidi, Abdulrahman Alanazi, Adwan Mehmood, Rashid Abbasi, Ahmad College of Computer Science and Engineering University of Ha'il Saudi Arabia School of Computing and Information Technology University of Wollongong Australia Department of Computer Science FCIT King Abdul Aziz University Jeddah Saudi Arabia High Performance Computing Center King Abdulaziz University Jeddah Saudi Arabia

Internet of Things Driven Data Analytics (IoT-DA) has the potential to excel data-driven operationalisation of smart environments. However, limited research exists on how IoT-DA applications are designed, implemented, operationalised, and evolved in the context of software and system engineering life-cycle. This article empirically derives a framework that could be used to systematically investigate the role of software engineering (SE) processes and their underlying practices to engineer IoT-DA applications. First, using existing frameworks and taxonomies, we develop an evaluation framework to evaluate software processes, methods, and other artefacts of SE for IoT-DA. Secondly, we perform a systematic mapping study to qualitatively select 16 processes (from academic research and industrial solutions) of SE for IoT-DA. Thirdly, we apply our developed evaluation framework based on 17 distinct criterion (a.k.a. process activities) for fine-grained investigation of each of the 16 SE processes. Fourthly, we apply our proposed framework on a case study to demonstrate development of an IoT-DA healthcare application. Finally, we highlight key challenges, recommended practices, and the lessons learnt based on framework's support for process-centric software engineering of IoT-DA. The results of this research can facilitate researchers and practitioners to engineer emerging and next-generation of IoT-DA software applications. © 2021, CC BY.

关键词： Data Analytics

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Retention Leveling: Leverage Retention Refreshing and Wear Leveling Techniques to Enhance Flash Reliability with the Awareness of Temperature

Retention Leveling: Leverage Retention Refreshing and Wear L...

引用

IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA)

作者： Wei-Chen Wang Chien-Chung Ho Yuan-Hao Chang Tei-Wei Kuo Yu-Ming Chang Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Department of Computer Science and Information Engineering National Cheng Kung University Institute of Information Science Academia Sinica Depanment of Computer Science and Information Engineering National Taiwan University High Performance and Scientific Computing Center National Taiwan University Mohamed bin Zayed University of Artificial Intelligence Wolley Inc.

Wear leveling cannot entirely mitigate retention errors, which have recently become $a$ substantial reliability issue due to cell shrinking. This paper focuses on preserving accurate data by addressing retention errors rather than uniformly distributing erases across blocks, as maintaining accurate data is the true goal for enhancing reliability. We propose the concept of retention leveling, considering $a$ crucial factor, i.e., temperature, and compare it to traditional wear leveling. Experimental results demonstrate that retention leveling can significantly improve flash memory reliability by limiting the number of retention errors to merely 0.0019% of the conventional approach, while substantially alleviating the write amplification problem.

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Fast OpenFlow Table Lookup with Fast Update

Fast OpenFlow Table Lookup with Fast Update

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Tong Yang Alex X. Liu Yulong Shen Qiaobin Fu Dagang Li Xiaoming Li Collaborative Innovation Center of High Performance Computing NUDT China Department of Computer Science and Engineering Michigan State University USA Xidian University China Boston University USA Peking University Shenzhen Graduate School China Department of Computer Science Peking University China

ISBN: (纸本)9781538641293

Software-Defined Networking (SDN), which separates the control plane and data plane, is a promising new network architecture for the Future Internet. OpenFlow is the de facto standard which defines the communication protocol between the controller and switches. The most challenging issue in OpenFlow switches is the lookup of multiple OpenFlow tables. The lookup of OpenFlow tables is so complicated that the state-of-the-art research are still focusing on the design of lookup pipeline architecture, and there is no specific algorithm for the lookup of OpenFlow tables. In this paper, we revise the long-pipeline architecture of OpenFlow 1.4 to a 5-stage pipeline architecture to make a trade-off between flexibility and implementability, and decompose the lookup of OpenFlow tables into three kinds of lookup: longest prefix matching (IP lookup), multi-field matching (packet classification), and exact matching. Then we design new algorithms for packet classification, because the state-of-the-art solutions for them seldom support fast update which is highly demanding for OpenFlow. The other two kinds of lookups can be well handled by state-of-the-art. Experimental results show that our proposed algorithms work excellently, and outperform state-of-the-art solutions.

关键词： computer architecture IP networks Pipelines Pipeline processing Classification algorithms Conferences Protocols

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