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PSO with reverse edge for multi-objective software module clustering

International Journal of Performability Engineering 2018年第10期14卷 2423-2431页

作者： Sun, Jiaze Xu, Yang Wang, Shuyan School of Computer Science and Technology Xi’an University of Posts and Telecommunications Xi’an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an University of Posts and Telecommunications Xi’an710121 China

The multi-objective software module clustering problem (MOSMCP) divides the complex software system into subsystems to obtain a perfect structure, which is based on the relations between modules to meet the conflicting software refactor objectives as much as possible. The modularization quality (MQ) and reverse edges number between clusters are considered as evaluation objectives, and a novel particle swarm optimization (PSO) with reverse edge, called REPSO, is proposed. First, the module dependency graph (MDG) in software system under clustering is constructed, and then the multi-objective particle swarm optimization (MOPSO) is improved to cluster the MDG. The exploring approach is used to update the particle locations. Four typical open source projects for module clustering are selected to verify the effectiveness of the REPSO. The laboratorial results prove that the REPSO algorithm is very effective and stable, and the diversity of the optimal solution is good. The REPSO algorithm provides an efficient engineering method for MOSMCP, which enhances the software structure and maintainability. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Modular construction

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Multi-objective test case prioritization based on epistatic particle swarm optimization

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International Journal of Performability Engineering 2018年第10期14卷 2441-2448页

作者： Sun, Jiaze Chen, Jingmin Wang, Gang School of Computer Science and Technology Xi’an University of Posts and Telecommunications Xi’an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an University of Posts and Telecommunications Xi’an710121 China

To address the Multi-Objective Test case Prioritization (MOTCP) problem, an Epistatic Particle Swarm Optimization (EPSO) algorithm is presented. The epistasis in biology is introduced into the new algorithm, and the particles are updated based on the crossover of Epistatic Test case Segment (ETS) in the test case sequence. The average coverage percentage of program entity and effective execution time of the test case sequence are set as two objective fitness functions in EPSO. The experiment selects four typical open12 source projects as benchmark programs. We adopted Average Percentage of Branch Coverage (APBC) and Effective Execution Time (EET) as objective fitness. The four classical Java testing projects results show that the EPSO is more effective and more diverse than single-point PSO and order PSO. The EPSO algorithm efficiently solves the MOTCP problem by promoting early detection of software defects and reducing software testing costs in regression testing. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Software testing

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Sending-or-not-sending twin-field quantum key distribution with discrete-phase-randomized weak coherent states

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Physical Review Research 2020年第4期2卷 043304-043304页

作者： Cong Jiang Zong-Wen Yu Xiao-Long Hu Xiang-Bin Wang Jinan Institute of Quantum Technology Jinan Shandong 250101 People's Republic of China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing 100084 People's Republic of China Data Communication Science and Technology Research Institute Beijing 100191 People's Republic of China Shanghai Branch CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai 201315 People's Republic of China Shenzhen Institute for Quantum Science and Engineering and Physics Department Southern University of Science and Technology Shenzhen 518055 China

In many security proofs of quantum key distribution, the random phases of coherent states are assumed to be continuously modulated. However, in practice, we can only take discrete phase randomization to coherent-state sources. In this paper, we study the sending-or-not-sending (SNS) protocol with discrete-phase-randomized coherent states. We present the security proof of the SNS protocol with discrete phase modulation. We then present analytic formulas for key rate calculation. With the decoy-state method and the properties of trace distance, we get the analytical formula of the upper bound of the phase-flip error rate. We also get the lower bound of the yield of untagged bits, which can be calculated by either analytical formula or linear programming. Our numerical simulation results show that with only six phase values, the key rates of the SNS protocol can exceed the linear bound and, with 12 phase values, the key rates are very close to the results of the SNS protocol with continuously modulated phase randomization.

关键词： Quantum cryptography

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Relativistic slingshot: A source for single circularly polarized attosecond x-ray pulses

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Physical Review E 2020年第6期102卷 061201(R)-061201(R)页

作者： Jingwei Wang Sergei V. Bulanov Min Chen Bifeng Lei Yuxue Zhang Rishat Zagidullin Veronika Zorina Wei Yu Yuxin Leng Ruxin Li Matt Zepf Sergey G. Rykovanov State Key Laboratory of High Field Laser Physics CAS Center for Excellence in Ultra-intense Laser Science Shanghai Institute of Optics and Fine Mechanics (SIOM) Chinese Academy of Sciences (CAS) Shanghai 201800 China Collaborative Innovation Center of IFSA Shanghai Jiao Tong University Shanghai 200240 China Institute of Physics ASCR v.v.i. (FZU) ELI-Beamlines Project 182 21 Prague Czech Republic Key Laboratory for Laser Plasmas (MoE) School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Helmholtz Institute Jena Fröbelstieg 3 07743 Jena Germany Faculty of Physics and Astronomy Friedrich-Schiller-Universität Jena 07743 Jena Germany Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow 121205 Russia

We propose a mechanism to generate a single intense circularly polarized attosecond x-ray pulse from the interaction of a circularly polarized relativistic few-cycle laser pulse with an ultrathin foil at normal incidence. Analytical modeling and particle-in-cell simulation demonstrate that a huge charge-separation field can be produced when all the electrons are displaced from the target by the incident laser, resulting in a high-quality relativistic electron mirror that propagates against the tail of the laser pulse. The latter is efficiently reflected as well as compressed into an attosecond pulse that is also circularly polarized.

关键词： High intensity laser-plasma interactions X-ray generation in plasmas Relativistic plasmas Particle-in-cell methods Test-particle methods

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VecQ: Minimal loss DNN model compression with vectorized weight quantization

arXiv

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arXiv 2020年

作者： Gong, Cheng Chen, Yao Lu, Ye Li, Tao Hao, Cong Chen, Deming College of Computer Science Nankai University Tianjin China Tianjin Key Laboratory of Network and Data Security Technology College of Cyber Science Nankai University Tianjin China University of Illinois at Urbana-Champaign IL United States Advanced Digital Sciences Center Singapore Singapore University of Illinois at Urbana-Champaign and Advanced Digital Sciences Center Singapore Singapore

Quantization has been proven to be an effective method for reducing the computing and/or storage cost of DNNs. However, the trade-off between the quantization bitwidth and final accuracy is complex and non-convex, which makes it difficult to be optimized directly. Minimizing direct quantization loss (DQL) of the coefficient data is an effective local optimization method, but previous works often neglect the accurate control of the DQL, resulting in a higher loss of the final DNN model accuracy. In this paper, we propose a novel metric called Vector Loss. Based on this new metric, we develop a new quantization solution called VecQ, which can guarantee minimal direct quantization loss and better model accuracy. In addition, in order to speed up the proposed quantization process during model training, we accelerate the quantization process with a parameterized probability estimation method and template-based derivation calculation. We evaluate our proposed algorithm on MNIST, CIFAR, ImageNet, IMDB movie review and THUCNews text data sets with numerical DNN models. The results demonstrate that our proposed quantization solution is more accurate and effective than the state-of-the-art approaches yet with more flexible bitwidth support. Moreover, the evaluation of our quantized models on Saliency Object Detection (SOD) tasks maintains comparable feature extraction quality with up to 16× weight size reduction. Copyright © 2020, The Authors. All rights reserved.

关键词： Economic and social effects

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Object Detection Algorithm for Improving Non-Maximum Suppression Using GIoU

Object Detection Algorithm for Improving Non-Maximum Suppres...

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作者： Zhiqiang Hou Xiaoyi Liu Lilin Chen College of Computer Science and Technology Xian University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications

To address the problem of object miss detection and object false detection in single threshold-Non-Maximum Suppression algorithm,this paper proposed a GDT-NMS(Generalized Intersection over Union Dual Threshold NMS,GDT-NMS)) algorithm which using GIoU(Generalized Intersection over Union).Using the GIoU indicator computing the similarity between objects,can better describe the relative position and overlap between the *** we proposed the dual-threshold NMS algorithm,which can balance the relationship between the object missed detection problem and the object false detection problem,reduce "false positive example" *** nonlinearly processing the weight function,the object is better *** algorithm uses Faster R-CNN as the *** experimental results show that the improved algorithm has outstanding performance.

关键词： GDT NMS Object Detection Algorithm for Improving Non-Maximum Suppression Using GIoU

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Bioinformatics Commons: The Cornerstone of Life and Health sciences

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Genomics,Proteomics & Bioinformatics 2018年第4期16卷 223-225页

作者： Zhang Zhang Yu Xue Fangqing Zhao BIG Data Center and CAS Key Laboratory of Genome Sciences & Information Beijing Institute of Genomics Chinese Academy of Sciences Department of Bioinformatics & Systems Biology MOE Key Laboratory of Molecular Biophysics College of Life Science and Technology and the Collaborative Innovation Center for Biomedical Engineering Huazhong University of Science and Technology Beijing Institutes of Life Science Chinese Academy of Sciences

Bioinformatics, an interdisciplinary field that combines biology, mathematics, computer science, medicine, and health science, to integrate, analyze, and interpret biological data, is now becoming increasingly data-intensive. To dig out the treasure from big data powered by high-throughput sequencing technologies, it is highly dependent on Bioinformatics Commons that involves a variety of fundamental resources, includ-

关键词： Bioinformatics Commons The Cornerstone of Life and Health sciences

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Pathological transition as the arising mechanism for drug resistance in lung cancer

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Cancer Communications 2019年第1期39卷 469-481页

作者： Yueqing Chen Waiying Yvonne Tang Xinyuan Tong Hongbin Ji State Key Laboratory of Cell Biology CAS Center for Excellence on Molecular Cell ScienceInnovation Center for Cell Signaling NetworkInstitute of Biochemistry and Cell BiologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghai 200031P.R.China University of Chinese Academy of Sciences Beijing 100049P.R.China Sunway Medical Centre 47500 Bandar SunwaySelangorMalaysia School of Life Science and Technology Shanghai Tech UniversityShanghai 200120P.R.China

Despite the tremendous efforts for improving therapeutics of lung cancer patients,its prognosis remains *** can be largely attributed to the lack of comprehensive understanding of drug resistance leading to insuf-ficient development of effective therapeutics in *** on the current progresses of lung cancer research,we classify drug resistance mechanisms into three different levels:molecular,cellular and pathological *** these three levels have significantly contributed to the acquisition and evolution of drug resistance in *** under-standing on drug resistance mechanisms has begun to change the way of clinical practice and improve patient *** this review,we focus on discussing the pathological changes linking to drug resistance as this has been largely overlooked in the past decades.

关键词： Lung cancer Drug resistance Pathological transition

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Golden grain: Building a secure and decentralized model marketplace for MLaaS

arXiv

引用

arXiv 2020年

作者： Weng, Jiasi Weng, Jian Cai, Chengjun Huang, Hongwei Wang, Cong The College of Information Science and Technology College of Cyber security National Joint Engineering Research Center of Network Security Detection and Protection Technology Guangdong Key Laboratory of Data Security and Privacy Preserving Jinan University Guangzhou510632 China The Department of Computer Science City University of Hong Kong Hong Kong Hong Kong The City University of Hong Kong Shenzhen Research Institute Shenzhen518057 China

ML-as-a-service (MLaaS) becomes increasingly popular and revolutionizes the lives of people. A natural requirement for MLaaS is, however, to provide highly accurate prediction services. To achieve this, current MLaaS systems integrate and combine multiple well-trained models in their services. Yet, in reality, there is no easy way for MLaaS providers, especially for startups, to collect sufficiently well-trained models from individual developers, due to the lack of incentives. In this paper, we aim to fill this gap by building up a model marketplace, called as Golden Grain, to facilitate model sharing, which enforces the fair model-money swapping process between individual developers and MLaaS providers. Specifically, we deploy the swapping process on the blockchain, and further introduce a blockchain-empowered model benchmarking process for transparently determining the model prices according to their authentic performances, so as to motivate the faithful contributions of well-trained models. Especially, to ease the blockchain overhead for model benchmarking, our marketplace carefully offloads the heavy computation and designs a secure off-chain on-chain interaction protocol based on a trusted execution environment (TEE), for ensuring both the integrity and authenticity of benchmarking. We implement a prototype of our Golden Grain on the Ethereum blockchain, and conduct extensive experiments using standard benchmark datasets to demonstrate the practically affordable performance of our design. © 2020, CC BY.

关键词： Blockchain

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The Distribution of UV Radiation Field in the Molecular Clouds of Gould Belt

arXiv

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arXiv 2022年

作者： Xia, Jifeng Tang, Ningyu Zhi, Qijun Jiao, Sihan Xie, Jinjin Fuller, Gary A. Goldsmith, Paul F. Li, Di School of Physics and Electronic Science Guizhou Normal University Guiyang550025 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China Department of Physics Anhui Normal University Anhui Wuhu241002 China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal University Guiyang550001 China Shanghai Astronomical Observatory CAS Shanghai200030 China Jodrell Bank Centre for Astrophysics Department of Physics & Astronomy The University of Manchester ManchesterM13 9PL United Kingdom I. Physikalisches Institut University of Cologne Zülpicher Str. 77 Köln50937 Germany Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109 United States

The distribution of ultraviolet (UV) radiation field provides critical constraints on the physical environments of molecular clouds. Within 1 kpc of our solar system and fostering protostars of different masses, the giant molecular clouds in the Gould Belt present an excellent opportunity to resolve the UV field structure in star forming regions. We performed spectral energy distribution (SED) fitting of the archival data from the Herschel Gould Belt Survey (HGBS). Dust radiative transfer analysis with the DUSTY code were applied to 23 regions in 14 molecular complexes of the Gould Belt, resulting in the spatial distribution of radiation field in these regions. For 10 of 15 regions with independent measurements of star formation rate, their star formation rate and UV radiation intensity largely conform to a linear correlation found in previous studies. Copyright © 2022, The Authors. All rights reserved.

关键词： Dust

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