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IEEE International Conference on Fuzzy Systems

作者： Salim Rezvani Xizhao Wang Big Data Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen Guangdong China

This paper introduces a new type-2 intuitionistic exponential triangular fuzzy number. Basic generalized exponential triangular intuitionistic fuzzy numbers are formulated by (α,β)-cuts. Some of properties and theorems of this type of fuzzy number with graphical representations have been studied and some examples are given to show the effectiveness of the proposed method. Also, the ranking function of the generalized exponential triangular intuitionistic fuzzy number is computed. This ranking method is based on the centroid concept and Euclidean distance. Based on the ranking method, we develop an approach to solving an intuitionistic fuzzy assignment problem where cost is not deterministic numbers but imprecise ones. Then, we solve an intuitionistic fuzzy transportation problem where transportation cost, source, and demand were generalized type-2 intuitionistic fuzzy numbers by the ranking method for Euclidean distance. Intuitionistic fuzzy set theory has been used for analyzing the fuzzy system reliability. We have taken the intuitionistic fuzzy failure to start of an automobile as known basic fault events such as Ignition failure, Battery internal shortage, Spark plug failure and fuel pump failure using Type-2 Intuitionistic Exponential Triangular Fuzzy Number. Our computational procedure is very simple to implement for calculations in intuitionistic fuzzy failure. The major advantage of using Intuitionistic fuzzy sets over fuzzy sets is that intuitionistic fuzzy sets separate the positive and the negative evidence for the membership of an element in a set. Furthermore, the proposed technique can be suitably utilized to solve the start of an automobile problem, because the result of system failure in this method is significant. Finally, the proposed method has been compared with other existing method through numerical examples.

关键词： Fuzzy sets Fault trees Euclidean distance Transportation Fuzzy systems Reliability Indexes

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Impossible meet-in-the-middle fault analysis on the LED lightweight cipher in VANETs

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science China(Information sciences) 2018年第3期61卷 118-130页

作者： Wei LI Vincent RIJMEN Zhi TAO Qingju WANG Hua CHEN Yunwen LIU Chaoyun LI Ya LIU School of Computer Science and Technology Donghua University imec-COSIC KU Leuven Shanghai Key Laboratory of Integrate Administration Technologies for Information Security Department of Computer Science and Engineering Shanghai Jiao Tong University Department of Applied Mathematics and Computer Science Technical University of Denmark Trusted Computing and Information Assurance Laboratory Institute of SoftwareChinese Academy of Sciences College of Science National University of Defense Technology Department of Computer Science and Engineering University of Shanghai for Science and Technology

With the expansion of wireless technology, vehicular ad-hoc networks(VANETs) are emerging as a promising approach for realizing smart cities and addressing many serious traffic problems, such as road safety, convenience, and efficiency. To avoid any possible rancorous attacks, employing lightweight ciphers is most effective for implementing encryption/decryption, message authentication, and digital signatures for the security of the VANETs. Light encryption device(LED) is a lightweight block cipher with two basic keysize variants: LED-64 and LED-128. Since its inception, many fault analysis techniques have focused on provoking faults in the last four rounds to derive the 64-bit and 128-bit secret keys. It is vital to investigate whether injecting faults into a prior round enables breakage of the LED. This study presents a novel impossible meet-in-the-middle fault analysis on a prior round. A detailed analysis of the expected number of faults is used to uniquely determine the secret key. It is based on the propagation of truncated differentials and is surprisingly reminiscent of the computation of the complexity of a rectangle attack. It shows that the impossible meet-in-the-middle fault analysis could successfully break the LED by fault injections.

关键词： VANETs LED lightweight cipher impossible meet-in-the-middle fault analysis

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A parallel computing framework for big data

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Frontiers of computer science 2017年第4期11卷 608-621页

作者： Guoliang CHEN Rui MAO Kezhong LU Guangdong Province Key Laboratory of Popular High Performance Computers Shenzhen 518060 China College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 China

Abstract Big data has received great attention in research and application. However, most of the current efforts focus on system and application to handle the challenges of ＂volume＂ and ＂velocity＂, and not much has been done on the theoreti- cal foundation and to handle the challenge of ＂variety＂. Based on metric-space indexing and computationalcomplexity the- ory, we propose a parallel computing framework for big data. This framework consists of three components, i.e., universal representation of big data by abstracting various data types into metric space, partitioning of big data based on pair-wise distances in metric space, and parallel computing of big data with the NC-class computing theory.

关键词： NC-computing metric space data partitioning,parallel computing

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An Edge Computing Platform of Guide-dog Robot for Visually Impaired

An Edge Computing Platform of Guide-dog Robot for Visually I...

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International Symposium on Autonomous Decentralized Systems (ISADAS)

作者： Jinhui Zhu Yinong Chen Mei Zhang Qiang Chen Ying Guo Huaqing Min Zhilie Chen School of Software Engineering South China University of Technology Guangzhou China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe USA School of Automation Science and Control Engineering South China University of Technology Guangzhou China College of computer & information science Southwest University Chongqing China School of Information Science and Technology Qingdao University of Science and Technology Qingdao China EVOC Intelligent Technology Company Limited Shen zhen China

ISBN: (数字)9781728116723

ISBN: (纸本)9781728116730

Information processing of guide dog robot requires expensive computing resources to meet real-time performance. We propose an edge computing framework based on Intel Up-Squared board and neural compute stick. Image processing and real-time control are performed on the framework. In addition, the voice recognition and commanding are also implemented, which are processed on Amazon cloud service. Vision, speech, and control services are integrated by ASU VIPLE (Visual IoT/Robotics Programming Language Environment). A prototype is developed, which implements the guide dog's obstacle avoidance, traffic sign recognition and following, and voice interaction with human.

关键词： Dogs Mobile robots Robot sensing systems Wheelchairs Edge computing Cameras

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A New Swarm Intelligence Algorithm by Simulating Sheep Behaviors

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2018年第6期46卷 1300-1305页

作者： Qu, Da-Peng Xu, Lun-Xiang Lu, Yao-Guang Yuan, Xiao-Kun Huang, Min Wang, Xing-Wei College of Information Liaoning University ShenyangLiaoning110036 China School of Computer Science and Engineering Northeastern University ShenyangLiaoning110169 China College of Information Science and Engineering Northeastern University ShenyangLiaoning110169 China College of Software Northeastern University ShenyangLiaoning110169 China

The status of current various swarm intelligence algorithms contains many strategies which cover their core issues, therefore, a new swarm intelligence algorithm by simulating sheep behaviors optimization (SO) is *** on the core of swarm intelligence algorithms, SO designs three kinds of strategies, namely global exploration, local exploitation and escaping from local optimization, by simulating three different kinds of corresponding sheep behaviors, namely bellwether guidance, moving to each other, and shepherd dog supervision *** experimental results of benchmark test functions demonstrate that, compared with particle swarm optimization, SO gets better solution, faster convergence speed and better stability. © 2018, Chinese Institute of Electronics. All right reserved.

关键词： Swarm intelligence

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The Transition Probabilities from Captive Animal’s Behavior by Non-invasive Sensing Method Using Stochastic Multilevel State Model 5th

The Transition Probabilities from Captive Animal’s Behavior...

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5th International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

作者： Singkahmfu, Phudinan Boonma, Pruet Srisujjalertwaja, Wijak Panyanuwat, Anurak Warrit, Natapot Computer Science Department Faculty of Science Chiang Mai University Chiang Mai Thailand Software Engineering Department College of Arts Media and Technology Chiang Mai University Chiang Mai Thailand Department of Computer Engineer Engineering Faculty Chiang Mai Univerity Chiang Mai Thailand College of Arts Media and Technology Chiang Mai University Chiang Mai Thailand Department of Biology Faculty of Sciences Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9789811308925

This article proposes a stochastic multilevel-state framework to model the animal’s behavior. The motivation of this article is the variety behavior influenced by several factors, which can lead to the state explosion. The proposed framework processes data from an automated sensing system and constructs the model. The data gathered from captive Antelope goral (Naemorhedusgriseus) in Chiang Mai Night Safari, Thailand. The data is gathered from the activity and the environmental factors in the cage by none invasive method. The model separated observed data into two main classes: the upper-level data and the lower-level data. The upper-level data represents the environment data such as temperature, humidity, and light density. Moreover, the landscape of the captivity area also takes into consideration. On the other hand, the lower-level represents the location of the animal of interested in the captivity area. The working strategy of this work is to cluster the each type of data and link them together by a stochastic approach. Both layers of data will be handled independently in clustering algorithm and determine probabilistic of state transaction. From the data observed from the sensor, the Probabilistic Automaton (PA) function is constructed. It is a function of producing the next stage based on the previous behavior states. The initial state of the framework is in the lower-level data (the current location of the animal). Then, the PA using the current lower stage and the current upper stage generates the next stage, location of the animal. Both the lower stage and the upper stage are traverse along the constructed automaton. The result can suggest computing methods, which can utilize to zoo research, which performs behavior monitoring, and in the other studies area, or subject of study, such as, air pollution dispersion that tracks the movement of pollutant according to the environment. The benefits of the proposed methods also can be used to create the application

关键词： Animals

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Research on the Influence of Improved K-shell Algorithm on Commodity Profit

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Journal of Physics: Conference Series 2020年第1期1631卷

作者： Jing Chen Jincheng Huang College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China Key Laboratory for Computer Virtual Technology and system Integration of Hebei Province Qinhuangdao 066004 China Software Engineering Laboratory in Hebei Province Qinhuangdao 066004 China

In order to maximize the influence of commodity profits in e-commerce platforms, designing and improving the K-shell algorithm to select the more influential seed node sets in this paper. The new algorithm improves the number of active nodes by setting node threshold and edge weight attributes. To obtain more commodity profits, a strategy IRDSN (Strategy for Improving Repeat Degree of Seed Nodes) is proposed to select initial seed nodes and improve the repeat degree of seed nodes. The profit maximization based on linear threshold model is realized by setting different propagation modes. The improved algorithm and strategy IRDSN are analysed and verified in real data set and e-commerce platform. The results show that the algorithm effectively improves the profit of commodities.

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Photon Scattering Signal Amplification in Gold-Viral Particle Ligation Towards Fast Infection Screening

IEEE Photonics Journal

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IEEE Photonics Journal 2021年第3期13卷

作者： Heng Zhang Xiao Jin Hanwen Zhao Yongping Lin Xiaofeng Li Lianping Hou John H. Marsh Lei Dong Daming Shi Weiping Liu Bin Xu Bin Ni Juan Liu Jichuan Xiong Xuefeng Liu School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China State Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory Disease the First Affiliated Hospital of Guangzhou Medical University Guangzhou Medical University Guangzhou China James Watt School of Engineering University of Glasgow Glasgow U.K. School of Life Science Beijing Institute of Technology Beijing China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Chinese Institute for Brain Research Beijing China

The polarization states of scattered photons can be used to map or image the anisotropic features of a nanostructure. However, the scattering strength depends heavily on the refractivity contrast in the near field under measurement, which limits the imaging sensitivity for viral particles which have little refractivity contrast with their nano-ambientes. In this paper, we show the photon scattering signal strength can be magnified by introducing a more abrupt change of refractivity at the virus particle using antibody-conjugated gold nanoparticles (AuNPs), allowing the presence of such viruses to be detected. Using two different deep learning methods to minimize scattering noise, the photon states scattering signal of a AuNPs ligated virus is enhanced significantly compared to that of a bare virus particle. This is confirmed by Finite Difference Time Domain (FDTD) numerical simulations. The sensitivity of the polarization state scattering spectra from a virus-gold particle doublet is 5.4 times higher than that of a conventional microscope image.

关键词： Viruses (medical) Scattering Nanobioscience Nanoparticles Gold Sensitivity Refractive index

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Research on a Novel Influence Maximization Algorithm Based on Community Structure

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Journal of Physics: Conference Series 2020年第1期1631卷

作者： Jing Chen Jiangchuan Liu College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China Software Engineering Laboratory in Hebei Province Qinhuangdao 066004 China

With the research of influence maximization algorithm, many researchers have found that the existing algorithm has the problem of overlapping influence of seed nodes. In order to solve the problem of overlapping influence of seed nodes, this paper proposes an IMCS algorithm based on community structure. Firstly, we divide the community through the central node, and the quality of community division is ensured by defining community fitness and node contribution. Then through the analysis of the community division results, the seed node selects the one with the largest degree. Since most of the nodes activated by seed nodes of different communities also belong to different communities, this method solves the problem of overlapping influence to a certain extent. The experimental results show that the effectiveness of the IMCS algorithm is verified under the real network, cooperative network and artificial network, and the IMCS algorithm has a better effect than IEIR and Degree algorithms in most networks under the IC model.

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Modeling multi-turn conversation with deep utterance aggregation 27

Modeling multi-turn conversation with deep utterance aggrega...

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27th International Conference on Computational Linguistics, COLING 2018

作者： Zhang, Zhuosheng Li, Jiangtong Zhu, Pengfei Zhao, Hai Liu, Gongshen Department of Computer Science and Engineering Shanghai Jiao Tong University China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China College of Zhiyuan Shanghai Jiao Tong University China School of Cyber Security Shanghai Jiao Tong University China School of Computer Science and Software Engineering East China Normal University China

ISBN: (纸本)9781948087506

Multi-turn conversation understanding is a major challenge for building intelligent dialogue systems. This work focuses on retrieval-based response matching for multi-turn conversation whose related work simply concatenates the conversation utterances, ignoring the interactions among previous utterances for context modeling. In this paper, we formulate previous utterances into context using a proposed deep utterance aggregation model to form a fine-grained context representation. In detail, a self-matching attention is first introduced to route the vital information in each utterance. Then the model matches a response with each refined utterance and the final matching score is obtained after attentive turns aggregation. Experimental results show our model outperforms the state-of-the-art methods on three multi-turn conversation benchmarks, including a newly introduced e-commerce dialogue corpus. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.

关键词： Speech processing

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