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8th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2021

作者： An, Tingting Sun, Songlin Liu, Rui School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Trusted Distributed Computing and Services Ministry of Education Key Laboratory Beijing China San Jose State University San JoseCA95192 United States

ISBN: (纸本)9789811933868

The development of 5G technology and Ultra HD video provide the basis for panoramic video, namely virtual reality (VR). At present, the traditional VQA method is not effective on panoramic video. Therefore, it is crucial to design objective VQA models for the standardization of panoramic video industry. With the development of deep learning, excellent algorithms of VQA methods based on convolutional neural network have emerged. In this paper, we propose a full reference VQA model based on spatial-temporal 3D convolutional neural network, the feature extraction combined the time and spatial information. we verify and optimize the proposed VQA model based on VQA-ODV panoramic video database, its objective score has a higher correlation with subjective scores than that of traditional VQA methods. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolutional neural networks

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Software Vulnerability Mining Techniques Based on Data Fusion and Reverse engineering

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Wireless Communications and Mobile computing 2022年第0期2022卷

作者： Liu, Tieming State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Zhengzhou450001 China

Software vulnerability mining is an important component of network attack and defense technology. To address the problems of high leakage rate and false positive rate of existing static analysis methods, this paper proposes a static analysis vulnerability detection technique based on data fusion for source code. By parsing the analysis results of different detection methods and fusing the data, the technique can effectively reduce the false positive rate and the false positive rate. A prototype of a scalable source code static analysis tool is designed and implemented, which can be automatically optimized by user feedback. Finally, an example is given to demonstrate how to uncover buffer overflow software vulnerabilities in the helpctr program based on reverse engineering techniques. The experimental results show that the false positive and false negative rates are significantly reduced compared to individual vulnerability detection methods. © 2022 Tieming Liu.

关键词： Data fusion

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Research on Static Reverse Analysis Technology for Security Detection of Power Industrial Control Software 3

Research on Static Reverse Analysis Technology for Security ...

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3rd International Conference on Intelligent Power and Systems, ICIPS 2023

作者： Chen, Jinshan Yu, Sihang Xie, Xuanxuan Cheng, Yu Tang, Zhijun Deng, Chaoping Li, June State Grid Fujian Electric Power Research Institute Fujian Fuzhou350000 China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Hubei Wuhan430072 China

ISBN: (纸本)9798350328691

In the power industrial control software, defects of software and possible pre-implanted backdoors and malicious codes are important factors that threaten the security of the power industrial control system. The complete and accurate extraction of function call relationship is the basis of software security detection based on function call graph. Therefore, based on analyzing function call sequence of abnormal behavior of electric power industrial control software, a method of software static reverse analysis is proposed. The method identified the function call relationship optimized by the compiler to be a jmp instruction by searching the call/jmp instructions. In order to extract a simplified key function call relationship, a key function list was obtained by performing keyword fuzzy matching. Experiments show that this method can accurately and comprehensively obtain the function call relation, the simplified key function call relationship can improve the efficiency of reverse analysis and provide a better support for software defects, backdoors and malicious codes detection. ©2023 IEEE.

关键词： Industrial research

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Self-Dual Hadamard Bent Sequences

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Journal of Systems Science & Complexity 2023年第2期36卷 894-908页

作者： SHI Minjia LI Yaya CHENG Wei CRNKOVIC Dean KROTOV Denis SOLéPatrick Key Laboratory of Intelligent Computing Signal Processing Ministry of EducationSchool of Mathematical SciencesAnhui UniversityHefei 230601China State Key Laboratory of Information Security(Institute of Information Engineering) Chinese Academy of SciencesBeijing 100093China. LTCI Télécom ParisParis91120 PalaiseauFrance Secure-IC S.A.S. 104 Bd du Montparnasse75014 Paris Faculty of Mathematics University of RijekaNovosibirsk 630090Russia Sobolev Institute of Mathematics Novosibirsk 630090Russia Aix Marseille Univ CNRSCentrale MarseilleI2MMarseilleFrance

A new notion of bent sequence related to Hadamard matrices was introduced recently,motivated by a security application(Solé,et al.,2021).The authors study the self-dual class in length at most *** authors use three competing methods of generation:Exhaustion,Linear Algebra and Gr?bner *** Hadamard matrices and Bush-type Hadamard matrices provide many *** authors conjecture that if v is an even perfect square,a self-dual bent sequence of length v always *** authors introduce the strong automorphism group of Hadamard matrices,which acts on their associated self-dual bent *** authors give an efficient algorithm to compute that group.

关键词： Bent sequences bush-type Hadamard matrices Hadanard matrices PUF functions regular Hadamard matrices

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An Optimization Method for Renewable Energy and Energy Storage Capacity Allocation Based on Temporal Production Simulation 7

An Optimization Method for Renewable Energy and Energy Stora...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Du, Hongbo Li, Chi Chen, Liang Zhang, Jinping Kou, Caixia College of Sciences Beijing University of Posts and Telecommunications Beijing China National Key Laboratory of Renewable Energy Grid-Integration China Electric Power Research Institute Beijing China Institute of Computational Mathematics and Scientific Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350345094

With the rapid expansion of large-scale renewable energy bases in China, optimizing the allocation of renewable energy and energy storage capacity is crucial for improving system efficiency. In this paper, a joint optimal configuration method of wind-photovoltaic-energy storage capacity based on time series production simulation is proposed for renewable energy transmission base. Its aim is to minimize the total investment cost of the system under certain constraints about the proportion of renewable energy power generation, renewable energy utilization rate, conventional thermal power operation, energy storage power station operation, ultra-high voltage direct current (UHVDC) regulation and power transmission. To handle the nonlinear constraints, linearization is achieved by introducing integer variables. For the complex operation constraints of conventional thermal power and UHVDC channel, a simplified modeling method of start-stop cycle and adjustment cycle is proposed, which can effectively reduce the number of integer variables and improve the solving efficiency. The effectiveness of the proposed method is tested on the data of a renewable energy base in Northwest China. © 2023 IEEE.

关键词： Energy utilization

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Immunomodulatory poly(L-lactic acid)nanofibrous membranes promote diabetic wound healing by inhibiting inflammation,oxidation and bacterial infection

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Burns & Trauma 2024年第1期12卷 510-535页

作者： Yan Wu Jin Zhang Anqi Lin Tinglin Zhang Yong Liu Chunlei Zhang Yongkui Yin Ran Guo Jie Gao Yulin Li Yanhui Chu Heilongjiang Key Laboratory of Tissue Damage and Repair Mudanjiang Medical University3 Tongxiang StreetAimin DistrictMudanjiang 157011China Clinical Laboratory Zhejiang Medical&Health Group Quzhou Hospital62 Wenchang RoadKecheng DistrictQuzhou 324004China The Key Laboratory for Ultrafine Materials of Ministry of Education State Key Laboratory of Bioreactor EngineeringEngineering Research Center for Biomedical Materials of Ministry of EducationSchool of Materials Science and EngineeringEast China University of Science and Technology130 Meilong RoadLingyun StreetXuhui DistrictShanghai 200237China Changhai Clinical Research Unit Shanghai Changhai HospitalNaval Medical University168 Changhai RoadYangpu DistrictShanghai 200433China Scientific Research Sharing Platform Mudanjiang Medical University3 Tongxiang StreetAimin DistrictMudanjiang 157011China Department of Physiology Mudanjiang Medical University3 Tongxiang StreetAimin DistrictMudanjiang 157011China

Background:Given the significant impact on human health,it is imperative to develop novel treatment approaches for diabetic wounds,which are prevalent and serious complications of *** diabetic wound microenvironment has a high level of reactive oxygen species(ROS)and an imbalance between proinflammatory and anti-inflammatory cells/factors,which hamper the healing of chronic *** study aimed to develop poly(L-lactic acid)(PLLA)nanofibrous membranes incorporating curcumin and silver nanoparticles(AgNPs),defined as PLLA/C/Ag,for diabetic wound ***:PLLA/C/Ag were fabricated via an air-jet spinning *** membranes underwent preparation and characterization through various techniques including Fourier-transform infrared spectroscopy,measurement of water contact angle,X-ray photoelectron spectroscopy,X-ray diffraction,scanning electron microscopy,assessment of in vitro release of curcumin and Ag+,testing of mechanical strength,flexibility,water absorption and *** addition,the antioxidant,antibacterial and anti-inflammatory properties of the membranes were evaluated in vitro,and the ability of the membranes to heal wounds was tested in vivo using diabetic ***:Loose hydrophilic nanofibrous membranes with uniform fibre sizes were prepared through air-jet *** membranes enabled the efficient and sustained release of *** importantly,antibacterial AgNPs were successfully reduced in situ from AgNO_(3).The incorporation of AgNPs endowed the membrane with superior antibacterial activity,and the bioactivities of curcumin and the AgNPs gave the membrane efficient ROS scavenging and immunomodulatory effects,which protected cells from oxidative damage and reduced *** results from animal studies indicated that the PLLA/C/Ag membranes had the most efficient wound healing properties,which were achieved by stimulating angiogenesis and collagen deposition and inhibiting ***:In

关键词： Nanofibrous membrane Poly(L-lactic acid) Curcumin Silver nanoparticles Autophagy Wound healing Diabetic wound Inflammation Oxidation Infection Bacterial

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Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center

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Journal of Computer Science & Technology 2023年第4期38卷 773-792页

作者：田文洪徐敏贤周光耀吴逵须成忠 Rajkumar Buyya School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu 610054China Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China Institute of Advanced Computing and Digital Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Department of Computer Science University of VictoriaVictoriaBCV8W 3P6Canada State Key Laboratory of Internet of Things for Smart City University of MacaoMacao 999078China School of Computing and Information Systems University of MelbourneMelbourne 3010Australia

Load balancing is vital for the efficient and long-term operation of cloud data *** virtualization,post(reactive)migration of virtual machines(VMs)after allocation is the traditional way for load balancing and consoli***,it is not easy for reactive migration to obtain predefined load balance objectives and it may interrupt services and bring ***,we provide a new approach,called Prepartition,for load *** partitions a VM request into a few sub-requests sequentially with start time,end time and capacity demands,and treats each sub-request as a regular VM *** this way,it can proactively set a bound for each VM request on each physical machine and makes the scheduler get ready before VM migration to obtain the predefined load balancing goal,which supports the resource allocation in a fine-grained *** with real-world trace and synthetic data show that our proposed approach with offline version(PrepartitionOff)scheduling has 10%–20%better performance than the existing load balancing baselines under several metrics,including average utilization,imbalance degree,makespan and Capacity_*** also extend Prepartition to online load *** results show that our proposed approach also outperforms state-of-the-art online algorithms.

关键词： cloud computing physical machine(PM) virtual machine(VM) reservation load balancing Prepartition

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A RIEMANNIAN EXPONENTIAL AUGMENTED LAGRANGIAN METHOD FOR computing THE PROJECTION ROBUST WASSERSTEIN DISTANCE

arXiv

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arXiv 2022年

作者： Jiang, Bo Liu, Ya-Feng Key Laboratory for NSLSCS of Jiangsu Province School of Mathematical Sciences Nanjing Normal University Nanjing China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China

Projecting the distance measures onto a low-dimensional space is an efficient way of mitigating the curse of dimensionality in the classical Wasserstein distance using optimal transport. The obtained maximized distance is referred to as projection robust Wasserstein (PRW) distance. In this paper, we equivalently reformulate the computation of the PRW distance as an optimization problem over the Cartesian product of the Stiefel manifold and the Euclidean space with additional nonlinear inequality constraints. We propose a Riemannian exponential augmented Lagrangian method (ReALM) with a global convergence guarantee to solve this problem. Compared with the existing approaches, ReALM can potentially avoid too small penalty parameters. Moreover, we propose a framework of inexact Riemannian gradient descent methods to solve the subproblems in ReALM efficiently. In particular, by using the special structure of the subproblem, we give a practical algorithm named as the inexact Riemannian Barzilai-Borwein method with Sinkhorn iteration (iRBBS). The remarkable features of iRBBS lie in that it performs a flexible number of Sinkhorn iterations to compute an inexact gradient with respect to the projection matrix of the problem and adopts the Barzilai-Borwein stepsize based on the inexact gradient information to improve the performance. We show that iRBBS can return an ǫ-stationary point of the original PRW distance problem within O(ǫ−3) iterations. Extensive numerical results on synthetic and real datasets demonstrate that our proposed ReALM as well as iRBBS outperform the state-of-the-art solvers for computing the PRW *** Codes 65K10, 90C26, 90C47 Copyright © 2022, The Authors. All rights reserved.

关键词： Constrained optimization

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A Fuzzy Logic System-Based Multidimensional Integrated Routing and Wavelength Assignment Method in Optical Network-on-Chip (ONoC) 22

A Fuzzy Logic System-Based Multidimensional Integrated Routi...

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22nd IEEE International Conference on Communication Technology, ICCT 2022

作者： Zhao, Jiahe Li, Hui Liu, Feiyang School of Telecommunications Engineering Xidian University State Key Laboratory of Integrated Services Networks Xi'an China Xi'an Aeronautics Computing Technique Research Institute Avic Xi'an China

ISBN: (纸本)9781665470674

In Optical Network-on-Chip (ONoC), both routing and wavelength assignment have an impact on the Optical Signal-to-Noise (OSNR), which further influence the power efficiency and scalability. In this work, we propose a multidimensional Integrated RWA method based on the fuzzy logic system (named as I-RWA) which considers routing and wavelength assignment. OSNR, traffic distribution, waiting delay and wavelength utilization are taken into consideration at the same time. The effect of wavelength assignment on OSNR is also discussed. The evaluation results show that the proposed method I-RWA can obtain the best performance in OSNR and is feasible to be adapted for other more performance factors. © 2022 IEEE.

关键词： Network-on-chip

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Accelerating LULESH using HPX - the C++ Standard Library for Parallelism and Concurrency

Accelerating LULESH using HPX - the C++ Standard Library for...

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2024 Practice and Experience in Advanced Research computing, PEARC 2024

作者： Singanaboina, Srinivas Yadav Wei, Weile Tsaousis Seiras, Isidoros Syskakis, Panagiotis Richardson, Bradley Cook, Brandon Kaiser, Hartmut Electrical Engineering and Computer Science Louisiana State University Baton RougeLA United States STE||AR Group SunnyvaleCA United States Aristotle University of Thessaloniki Thessaloniki Greece National Energy Research Scientific Computing Center BerkeleyCA United States Lawrence Berkeley National Laboratory BerkeleyCA United States

ISBN: (纸本)9798400704192

The rapid increase in computer hardware capabilities demands the need for greater parallel efficiency. While the existing CPU parallelization techniques using OpenMP provide adequate performance on parallelizing intensive scientific compute workloads, they lack user flexibility in controlling parallelism, which can enhance performance. In this paper we describe a new port of Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics(LULESH), a widely studied benchmark in the Department of Energy co-design efforts for ExaScale computing, to HPX and HPXMP (a new OpenMP backend of HPX), and an evaluation of the performance on Intel, AMD, ARM, and RISC-V architectures. We explain how we progressively incorporated HPX's parallel features to boost the performance of an HPX-enabled LULESH, including using parallel execution policy, hpx::for_loop, and HPX's fork-join executor. We compare the shared memory parallelism performance of five LULESH versions: NVC++ implementation using C++ algorithms, OpenMP pragma-based implementation, HPX implementation using C++ algorithms, HPX using fork-join executors, and HPXMP. Using HPXMP we observed an average speedup of 1.4x, 1.5x, 1.2x, and 1.3x relative to OpenMP on Intel, AMD, ARM, and RISC-V processors respectively across 3 different workload sizes. We observed a speedup of 1.1x and 2.2x relative to OpenMP on Intel and AMD respectively using Fork Join Executors. These findings suggest that HPXMP can offer a direct enhancement to existing OpenMP codebases across a wide range of architectures, without any modifications to the original source code, whereas HPX's fork-join executors provide finer control of parallelism and increased performance. HPXMP also provides a viable first step on a migration path for OpenMP applications to HPX. © 2024 Owner/Author.

关键词： Benchmarking

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