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A New Swarm Intelligence Algorithm by Simulating Sheep Behaviors

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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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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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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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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Transferring grasp configurations using active learning and local replanning

arXiv

引用

arXiv 2018年

作者： Tian, Hao Wang, Changbo Manocha, Dinesh Zhang, Xinyu School of Computer Science and Software Engineering East China Normal University Shanghai China Department of Computer Science and Electrical & Computer Engineering University of Maryland College ParkMD United States

We present a new approach to transfer grasp configurations from prior example objects to novel objects. We assume the novel and example objects have the same topology and similar shapes. We perform 3D segmentation on these objects using geometric and semantic shape characteristics. We compute a grasp space for each part of the example object using active learning. We build bijective contact mapping between these model parts and compute the corresponding grasps for novel objects. Finally, we assemble the individual parts and use local replanning to adjust grasp configurations while maintaining its stability and physical constraints. Our approach is general, can handle all kind of objects represented using mesh or point cloud and a variety of robotic hands. Copyright © 2018, The Authors. All rights reserved.

关键词： Semantics

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A survey on formal specification and verification of separation kernels

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Frontiers of computer science 2017年第4期11卷 585-607页

作者： Yongwang ZHAO Zhibin YANG Dianfu MA State Key Laboratory of Software Development Environment (NLSDE) School of Computer Science and Engineering Beihang Univerisity Beijing 100191 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210016 China

Abstract Separation kernels are fundamental software of safety and security-critical systems, which provide their hosted applications with spatial and temporal separation as well as controlled information flows among partitions. The application of separation kernels in critical domain demands the correctness of the kernel by formal verification. To the best of our knowledge, there is no survey paper on this topic. This paper presents an overview of formal specification and verification of separation kernels. We first present the back- ground including the concept of separation kernel and the comparisons among different kernels. Then, we survey the state of the art on this topic since 2000. Finally, we summa- rize research work by detailed comparison and discussion.

关键词： real-time operating systems separation kernel,survey formal specification formal verification

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A survey on dragonfly algorithm and its applications in engineering

arXiv

引用

arXiv 2020年

作者： Rahman, Chnoor M. Rashid, Tarik A. Alsadoon, Abeer Bacanin, Nebojsa Fattah, Polla Mirjalili, Seyedali Applied Computer Department College of Health and Applied Sciences Charmo University Sulaimany Iraq Science and Engineering Department University of Kurdistan Hewler Erbil Iraq School of Computing and Mathematics Charles Sturt University Sydney Australia School of Computing Engineering and Mathematics Western Sydney University Sydney City Campus Australia Information Technology Department Sydney Australia Kent Institute Australia Information Technology Department Sydney Australia Singidunum University Belgrade Serbia Software and Informatics Engineering Salahaddin University-Erbil Erbil Iraq Centre for Artificial Intelligence Research and Optimisation Torrens University Australia Yonsei Frontier Lab Yonsei University Seoul Korea Republic of

The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in various areas. At times, it offers superior performance compared to the most well-known optimization techniques. However, this algorithm faces several difficulties when it is utilized to enhance complex optimization problems. This work addressed the robustness of the method to solve real-world optimization issues, and its deficiency to improve complex optimization problems. This review paper shows a comprehensive investigation of the dragonfly algorithm in the engineering area. First, an overview of the algorithm is discussed. Besides, we also examined the modifications of the algorithm. The merged forms of this algorithm with different techniques and the modifications that have been done to make the algorithm perform better are addressed. Additionally, a survey on applications in the engineering area that used the dragonfly algorithm is offered. The utilized engineering applications are the applications in the field of mechanical engineering problems, electrical engineering problems, optimal parameters, economic load dispatch, and loss reduction. The algorithm is tested and evaluated against particle swarm optimization algorithm and firefly algorithm. To evaluate the ability of the dragonfly algorithm and other participated algorithms a set of traditional benchmarks (TF1-TF23) were utilized. Moreover, to examine the ability of the algorithm to optimize large-scale optimization problems CEC-C2019 benchmarks were utilized. A comparison is made between the algorithm and other metaheuristic techniques to show its ability to enhance various problems. The outcomes of the algorithm from the works that utilized the dragonfly algorithm previously and the outcomes of the benchmark test functions proved that in comparison with participated algorithms (GWO, PSO, and GA), the dragonfly algorithm owns an excellent performance,

关键词： Multiobjective optimization

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Blockchain in the Eyes of Developers

arXiv

引用

arXiv 2018年

作者： Jiang, He Liu, Dong Ren, Zhilei Zhang, Tao School of Software Dalian University of Technology School of Computer Science & Technology Beijing Institute of Technology College of Computer Science and Technology Harbin Engineering University

The popularity of blockchain technology continues to grow rapidly in both industrial and academic fields. Most studies of blockchain focus on the improvements of security, usability, or efficiency of blockchain protocols, or the applications of blockchain in finance, Internet of Things, or public services. However, few of them could reveal the concerns of front-line developers and the situations of blockchain in practice. In this article, we investigate how developers use and discuss blockchain with a case study of Stack Overflow posts. We find blockchain is a relatively new topic in Stack Overflow but it is rising to popularity. We detect 13 types of questions that developers post in Stack Overflow and identify 45 blockchain relevant entities (e.g., frameworks, libraries, or tools) for building blockchain applications. These findings may help blockchain project communities to know where to improve and help novices to know where to start. Copyright © 2018, The Authors. All rights reserved.

关键词： Blockchain

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