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Worst-Case Finish Time Analysis for DAG-Based Applications in the Presence of Transient Faults

Journal of Computer Science & technology 2016年第2期31卷 267-283页

作者： Xiao-Tong Cui Kai-Jie Wu Tong-Quan Wei Hsing-Mean Sha Key Laboratory of Dependable Service Computing in Cyber Physical Society Chongqing University Chongqing 400014 China College of Computer Science Chongqing University Chongqing 400044 China Department of Computer Science and Technology East China Normal University Shanghai 200241 China

Tasks in hard real-time systems are required to meet preset deadlines, even in the presence of transient faults and hence the analysis of worst-case finish time （WCFT） must consider the extra time incurred by re-executing tasks that were faulty. Existing solutions can only estimate WCFT and usually result in significant under- or over-estimation. In this work, we conclude that a sufficient and necessary condition of a task set experiencing its WCFT is that its critical task incurs all expected transient faults. A method is presented to identify the critical task and WCFT in O（IVI ＋ IEI） where IVI and IEI are the number of tasks and dependencies between tasks, respectively. This method finds its application in testing the feasibility of directed acyclic graph （DAG） based task sets scheduled in a wide variety of fault-prone multi-processor systems, where the processors could be either homogeneous or heterogeneous, DVS-capable or DVS-incapable, etc. The common practices, which require the same time complexity as the proposed critical-task method, could either underestimate the worst case by up to 25%, or overestimate by 13%. Based on the proposed critical-task method, a simulated-annealing scheduling algorithm is developed to find the energy efficient fault-tolerant schedule for a given DAG task set. Experimental results show that the proposed critical-task method wins over a common practice by up to 40% in terms of energy saving.

关键词： fault tolerance worst-case analysis simulated annealing energy conservation dynamic voltage scaling （DVS）

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Classifying Personal Photo Collections: An Event-Based Approach

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Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, APWeb-WAIM 2018

作者： Geng, Ming Li, Yukun Liu, Fenglian Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin Tianjin China

ISBN: (纸本)9783030012977

Due to the increasing number of photos taken by mobile phone, how to improve the efficiency of re-finding personal photos becomes an important research issue. Based on the survey of the current methods to re-find expected photos in mobile phones, this paper proposes a photo classification strategy based on specific events. We firstly discover the relationship of shooting time and shooting location to specific events, and propose a method to classify personal photos based on them. Because there is no existing data set for experiment, we collect several representative photo collections of different people as experimental data sets, and the experiments show the efficiency of our method. We implement an album system based on our method and compare it with other existing classification ones, and the results show that our strategy can improve the efficiency of re-finding photos. © 2018, Springer Nature Switzerland AG.

关键词： Cellular telephones

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A fault prediction method based on modified Genetic Algorithm using BP neural network algorithm

A fault prediction method based on modified Genetic Algorith...

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2016 IEEE International Conference on systems, Man, and Cybernetics, SMC 2016

作者： Liu, Qing Feng, Zhang Liu, Min Shen, Weiming School of Electronic and Information Engineering Tongji University Shanghai201804 China Key Laboratory of Embedded System and Service Computing Tongji University Shanghai201804 China

ISBN: (纸本)9781509018970

In order to improve fault forecasting model accuracy of back propagation neural network (BPNN), an improved prediction method of optimized BPNN based on Multilevel Genetic Algorithm (MGA) was proposed. We design new chromosome with multilevel structure, improve the encoding mode, fitness function and genetic operator. Which can optimizes the initial values of weights, thresholds and the structure of BPNN synchronously. Enhancing the ability of nonlinear learning and generalization of BPNN. Case study of continuous casting equipment verified that the proposed model with higher prediction accuracy is better than classical BPNN and GA-BPNN prediction method for fault prediction. © 2016 IEEE.

关键词： Chromosomes

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Design and implementation of communication module in passive ultrasonic sensor networks

Design and implementation of communication module in passive...

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2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010

作者： Han, Lina Zhao, Rui Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Third Research Institute of The Ministry of Public Security Shanghai China

ISBN: (纸本)9781424479566

Passive sensor networks can achieve accurate detection of target under complex environment. In order to adapt to different communication demands of sensor networks in different environments, this paper designed and implemented a wireless and wired mixed communication module, that is, a communication system combined short-distance wireless communication based on radio frequency technology with broadband cable communication. Simulation results show that our system can achieve the desired requirements in different circumstances. © 2010 IEEE.

关键词： Ultrasonic applications

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Asymptotic signal bandwidth of impulse radio UWB communication networks

Asymptotic signal bandwidth of impulse radio UWB communicati...

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54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011

作者： Xu, Juan College of Electronics and Information Engineering Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

ISBN: (纸本)9781424492688

The asymptotic signal bandwidth of various kinds of large-scale asynchronous Time Hopping Impulse Radio Ultra-Wide Band (TH-IR UWB) communication networks such that multiple access interference can be negligible with respect to output noise with high probability is derived. The asynchronous TH-IR UWB communication networks consist of n nodes distributed in a cube (three-dimension) or on a square (two-dimension) according to a Poisson point process. The theoretic results indicate that the obtained asymptotic bandwidth of IR-UWB signal is in proportion to the number of nodes, and that the asymptotic bandwidth of IR-UWB signal of dense network is much more than that of extended network. The results also reveal that the asymptotic bandwidth of three-dimensional network is less than that of two-dimensional network assuming that the number of nodes in the networks and the distance loss exponent are the same. As the bandwidth of IR-UWB signal satisfies the obtained theoretic bandwidth, the expression of probability of error of multi-node network is simplified to that of single node network. © 2011 IEEE.

关键词： Bandwidth

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An Automated Penetration Semantic Knowledge Mining Algorithm Based on Bayesian Inference

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Computers, Materials & Continua 2021年第3期66卷 2573-2585页

作者： Yichao Zang Tairan Hu Tianyang Zhou Wanjiang Deng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450000China National Engineering Technology Research Center of the Digital Switching System Zhengzhou450000China NUS Business School National University of SingaporeSingapore119077Singapore

Mining penetration testing semantic knowledge hidden in vast amounts of raw penetration testing data is of vital importance for automated penetration *** rule mining,a data mining technique,has been studied and explored for a long ***,few studies have focused on knowledge discovery in the penetration testing *** experimental result reveals that the long-tail distribution of penetration testing data nullifies the effectiveness of associative rule mining algorithms that are based on frequent *** address this problem,a Bayesian inference based penetration semantic knowledge mining algorithm is ***,a directed bipartite graph model,a kind of Bayesian network,is constructed to formalize penetration testing ***,we adopt the maximum likelihood estimate method to optimize the model parameters and decompose a large Bayesian network into smaller networks based on conditional independence of variables for improved solution ***,irrelevant variable elimination is adopted to extract penetration semantic knowledge from the conditional probability distribution of the *** experimental results show that the proposed method can discover penetration semantic knowledge from raw penetration testing data effectively and efficiently.

关键词： Penetration semantic knowledge automated penetration testing Bayesian inference cyber security

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Self-assembly of block copolymers under 3D confinement: Toward nanostructured particles

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Nanoscience and Nanotechnology - Asia 2012年第2期2卷 163-182页

作者： Deng, Renhua Wang, Jianying Liang, Ruijing Liu, Shanqin Zhu, Jintao Hubei Key Laboratory of Materials Chemistry and Service Failure School of Chemistry and Chemical Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Large-Format Battery Materials and System Ministry of Education School of Chemistry and Chemical Engineering Huazhong University of Science and Technology Wuhan 430074 China

Compared to self-assembly of block copolymers in bulk, self-assembly of block copolymers under confinement, especially three-dimensional (3D) confinement, can lead to various unexpected microphase-segregated structures, which not only opens a door for deep investigation of the phase behavior of block copolymers, but also offers a precise and powerful route for the preparation of nanostructured particles. A rich variety of unique nanostructured particles can be generated through regulating the confinement effect, interfacial interaction, and volume fraction of each block, which pose great potentials in nanoscience and nanotechnology. In this review, we will first highlight several recent advances in preparing block copolymer nanostructured particles based on 3D confinement theoretically and experimentally. Two types of 3D confinement assembly, e.g., hard and soft confinement, are both discussed. Compared to the 3D hard confinement which has fixed confining geometry and space size, 3D soft confinement assembly are more flexible, and the shape and dimension of the block copolymer particles can be tailored by varying either the internal or external conditions. The functionalization and potential applications of the nanostructured particles will then be discussed, followed by the summary and outlook of this unique field. © 2012 Bentham Science Publishers.

关键词： Block copolymers

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Average vector field methods for the coupled Schrdinger KdV equations

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Chinese Physics B 2014年第7期23卷 242-250页

作者：张弘宋松和陈绪栋周炜恩 Department of Mathematics and System Science College of ScienceNational University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology

The energy preserving average vector field （AVF） method is applied to the coupled Schr6dinger-KdV equations. Two energy preserving schemes are constructed by using Fourier pseudospectral method in space direction discretization. In order to accelerate our simulation, the split-step technique is used. The numerical experiments show that the non-splitting scheme and splitting scheme are both effective, and have excellent long time numerical behavior. The comparisons show that the splitting scheme is faster than the non-splitting scheme, but it is not as good as the non-splitting scheme in preserving the invariants.

关键词： coupled Schrodinger-KdV equations average vector field method splitting method Fourier pseu-dospectral method

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A Theoretical Framework for Value Co-creation Analysis of Ecological Interaction between 6G and Its Enabling Technologies 24

A Theoretical Framework for Value Co-creation Analysis of Ec...

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Proceedings of the 2024 10th International Conference on Communication and Information Processing

作者： Jiao Zhang Xuyu Zhao Fengshuai Du Xinyue Yan Tianjian Yang Haiyan Yan Jiayin Qi School of Economics and Management Beijing University of Posts and Telecommunications Beijing Beijing China China Mobile Research Institute Beijing Beijing China Scienze Politiche e delle relazioni internazionali University of Palermo Palermo Italy and Huangpu Research School of Guangzhou University Guangzhou University Guangzhou Guangdong China School of Management Fudan University Shanghai Shanghai China School of Management Shanghai University of International Business and Economics Shanghai Shanghai China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou Guangdong China and Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing Beijing China

ISBN: (纸本)9798400717444

As demand for communication increases in terms of rate, reliability and security, 6G networks will provide more extreme communication experiences and richer communication services. It is therefore crucial that 6G enabling technologies are developed in order to meet the performance requirements of 6G networks. This study firstly analyses the core elements and development of the 6G ecosystem, and secondly reviews the ecological interactions of 6G and its enabling technologies. Notably, this study, based on the resource orchestration theory, has explored the three-phase evolution and value co-creation of the ecological interactions of 6G and its enabling technologies and provides a summary of the challenges for future development. The study is expected to provide theoretical support for the future system planning and evolutionary development of 6G ecology and its enabling technology ecology.

关键词： 6G ecology

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A new clustering classification approach based on FCR

A new clustering classification approach based on FCR

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2010 7th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2010

作者： Zhang, De-Gan Liu, Weiwei Kang, Xuejing Chen, Ying Dai, Wenbo Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 China

ISBN: (纸本)9781424459346

A new clustering classification approach based on fuzzy closeness relationship (FCR) is studied in this paper. As we know, fuzzy clustering classification is one of important and valid methods to knowledge discovery. One of problems in fuzzy clustering classification is to determine a certain fuzzy sample classification in given limited sample space. Another is its validity, that is to say, if the sample is resemble in sample space, its fuzzy type will be resemble too. In our research, firstly, using triangle arithmetic operator and triangle transference, we extend fuzzy equivalence relationship to fuzzy closeness relationship, and cluster. Secondly, importing fuzzy coverage based on fuzzy closeness relationship, we judge resemble type of resemble sample. Thirdly, we introduce the clustering classification method based on fuzzy closeness relationship and fuzzy coverage. The method can overcome information more loss in fuzzy equivalence. Finally, we test its feasibility. The approach is applied to knowledge discovery for risk prediction of electronic commerce market, good result has been gotten. ©2010 IEEE.

关键词： Fuzzy clustering

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