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2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)

作者： Yin, Baosheng Song, Zhiwei Yan, Yusheng Sun, Mengyang Shenyang Aerosp Univ Res Ctr Human Comp Intelligence Shenyang 110136 Peoples R China China Inst Marine Technol & Econ Beijing 100081 Peoples R China

ISBN: (纸本)9781728108315

clustering analysis is an important step in extracting and analyzing technology bibliography trend. The bibliographic records, consisting of the title, authors, keywords, and publications, are short texts carrying less information than long texts, while bibliographic network has the citation relations among bibliographies. The experimental dataset therein refers to bibliographies in the computer field crawled from the existing literature databases. Based on traditional Hierarchical clustering algorithm, this paper merges the cocitation relations. The experiment result shows that the mean silhouette coefficient of the Agglomerative clustering algorithm that merges the co-citation relations among the bibliographies is improved obviously, thus effectively improving clustering result among bibliographies with strong co-citation relations, and good clusters provide a solid research basis for the follow-up bibliography trend analysis.

关键词： natural language processing clustering algorithm scientific bibliography citation relations

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Trust-Aware clustering Approach Using Type-2 Fuzzy Logic for Mobile Wireless Sensor Networks 3rd

Trust-Aware Clustering Approach Using Type-2 Fuzzy Logic for...

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3rd International Conference on Advanced Informatics for Computing Research (ICAICR)

作者： Kousar, Asra Mittal, Nitin Singh, Prabhjot Chandigarh Univ Elect & Commun Engn Mohali 140413 Punjab India

ISBN: (纸本)9789811501111;9789811501104

Mobile Wireless Sensor Networks (MWSNs) are a definitive area for applications such as basic security activities, military reconnaissance and observing forest fire. In MWSNs appropriate selection of cluster head (CH) is to enhance the network lifetime. On taking the security of network into account is a challenging task. Trustworthy data collection is a major topic that interests much research work. Trust plays an important role in military and other applications. Many algorithms do not take security into account while selecting CH for MWSNs. Existing security-aware protocols use the cryptographic method, which are not enough to overcome serious issues. The cryptographic technique causes complexity in the network, a large amount of overhead and poor connectivity. Therefore, this paper proposes a trust-aware approach for MWSNs using type-2 fuzzy logic (T2FL). Trust value is considered as a major parameter that affects the performance of nodes. In this approach, to elect secure CH, trust value, remaining battery power, concentration, distance to base station and moving speed is used. Experimental analysis shows that this approach can successfully eliminate the malicious node in MWSN.

关键词： WSN clustering algorithm Cluster head Type-1 fuzzy logic Type-2 fuzzy logic Mobility Sensor network

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Enhanced Urban clustering in VANETs Using Online Machine Learning

Enhanced Urban Clustering in VANETs Using Online Machine Lea...

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Alsuhli, Ghada H. Khattab, Ahmed Fahmy, Yasmine A. Massoud, Yehia Cairo Univ Elect & Elect Commun Engn Dept Giza Egypt Stevens Inst Technol Sch Syst & Enterprises Hoboken NJ 07030 USA

ISBN: (纸本)9781728134734

clustering in Vehicular Ad-Hoc Networks (VANETs) is essential to mitigate different challenges and meet the required quality of communications. However, most of the available clustering protocols were designed for highways, and thus become unstable in realistic urban environments with many intersections. In this paper, a clustering Adaptation Near Intersection (CANI) approach is proposed to ensure clustering stability at intersections. This approach exploits Online Sequential Extreme Learning Machine (OS-ELM) to predict the behavior of the vehicles near an intersection and adapt the clusters accordingly. The main advantage of the developed OS-ELM prediction model is its ability to continuously learn and update in real time. After being validated, the proposed adaptation approach is included in a highway clustering scheme. The resultant clustering protocol is compared to other schemes in a realistic urban environment, and shows significant stability and efficiency performance improvement.

关键词： VANET clustering algorithm urban environment machine learning

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Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2019年第8期67卷 2115-2128页

作者： Bu, Yuheng Zou, Shaofeng Veeravalli, Venugopal V. Univ Illinois ECE Dept Urbana IL 61801 USA Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA Univ Buffalo State Univ New York Dept Elect Engn Buffalo NY 14228 USA

The problem of universal outlying sequence detection is studied, where the goal is to detect outlying sequences among M sequences of samples. A sequence is considered as outlying if the observations therein are generated by a distribution different from those generating the observations in the majority of the sequences. In the universal setting, we are interested in identifying all the outlying sequences without knowing the underlying generating distributions. We consider the outlying sequence detection problem in three different scenarios: first, known number of outlying sequences;second, unknown number of identical outlying sequences;and finally, typical and outlying distributions forming clusters. In this paper, a class of tests based on distribution clustering is proposed. These tests are shown to be exponentially consistent with linear time complexity in M. Numerical results demonstrate that our clustering-based tests achieve similar performance to existing tests, while being considerably more computationally efficient.

关键词： Anomaly detection clustering algorithm exponential consistency outlier detection universal outlier hypothesis testing

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Implementation of machine learning techniques into the Subset Simulation method

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STRUCTURAL SAFETY 2019年 79卷 12-25页

作者： Cui, Fengkun Ghosn, Michel Shandong Jiaotong Univ Civil Engn Jinan 250357 Shandong Peoples R China CUNY City Coll Civil Engn New York NY 10031 USA

A hybrid reliability analysis procedure that combines the advantages of the Subset Simulation method, the application of surrogate models and clustering techniques is proposed to efficiently assess the failure probability of complex structural systems that may exhibit multiple failure modes. The proposed procedure, herein called SS-KK, integrates the Kriging surrogate modeling technique, K-means clustering algorithm into the original Subset Simulation (SS) method. The approach is found to not only improve the efficiency of the Subset Simulation method in finding the reliability of a structural system but to also help identify the important failure modes and controlling random variables. This information is important to aid engineers optimize the structural design process by focusing on the critical failures modes and design variables. The method consists of first constructing a relatively coarse global Kriging model at each subset level of SS by applying an appropriate active learning strategy. Subsequently, the initial global Kriging model is partitioned into several local Kriging models that coincide with the important failure modes identified by the K-means clustering algorithm. This partitioning, which helps identify the important failure modes, also gives a better representation of the entire failure region leading to improved estimates of the system reliability. Finally, FORM is implemented for each local Kriging to rank the importance of each identified failure mode based on its Hasofer-Lind reliability index and to use the associated design point and sensitivity coefficients to identify the most critical random variables. Several examples extracted from the available literature are analyzed to illustrate the advantages of the proposed SS-KK methodology and demonstrate its accuracy and efficiency.

关键词： Structural system reliability Subset Simulation Kriging model clustering algorithm Multiple failure modes

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Deployment Strategies of Multiple Aerial BSs for User Coverage and Power Efficiency Maximization

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IEEE TRANSACTIONS ON COMMUNICATIONS 2019年第4期67卷 2981-2994页

作者： Sun, Jingcong Masouros, Christos UCL Dept Elect & Elect Engn London WC1E 7JE England

Unmanned aerial vehicle-based aerial base stations (BSs) can provide rapid communication services to ground users and are thus promising for future communication systems. In this paper, we consider a scenario where no functional terrestrial BSs are available and the aim is deploying multiple aerial BSs to cover a maximum number of users within a certain target area. To this end, we first propose a naive successive deployment method, which converts the non-convex constraints in the involved optimization into a combination of linear constraints through geometrical relaxation. Then, we investigate a deployment method based on K-means clustering. The method divides the target area into K convex subareas, where within each subarea, a mixed integer non-linear problem is solved. An iterative power efficient technique is further proposed to improve coverage probability with reduced power. Finally, we propose a robust technique for compensating the loss of coverage probability in the existence of inaccurate user location information. Our simulation results show that the proposed techniques achieve an up to 30% higher coverage probability when users are not distributed uniformly. In addition, the proposed simultaneous deployment techniques, especially the one using iterative algorithm, improve power-efficiency by up to 15% compared with the benchmark circle packing theory.

关键词： Unmanned aerial vehicles user coverage air-to-ground communication clustering algorithm

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Application of Cluster Analysis in Bitcoin Deanonymization

Application of Cluster Analysis in Bitcoin Deanonymization

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作者： Meng Li Basic Department Jiangsu Police Institute

Bitcoin is the world's first decentralized cryptocurrency whose transactions are recorded on a distributed, openly accessible ledger. On the Bitcoin Blockchain, an entity's real-world identity is hidden behind a pseudonym, a socalled ***, Bitcoin is widely assumed to provide a high degree of anonymity, which is a driver for its frequent use for illicit *** criminal activities that use Bitcoin as an intermediary are becoming more rampant, and it is difficult for law enforcement agencies to identify and track them. In order to identify the identity behind the Bitcoin address and realize the supervision of the blockchain, this paper propose to give a review of the most used Bitcoin clustering algorithms. The research is divided into two categories: One is the Transaction-based heuristic method for static address information;The other is classic clustering algorithms for dynamic behavior patterns, so as to achieve the purpose of de-anonymization of Bitcoin.

关键词： Bitcoin Deanonymization clustering algorithm Heuristic

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Solution of Fire Coordination Scheme of Equipment System Based on Fuzzy clustering-auction Mechanism

Solution of Fire Coordination Scheme of Equipment System Bas...

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第三十九届中国控制会议

作者： Ke-hu Xu Guo-sheng Wang Department of Weapon and Control Army Academy of Armored Force

Aiming at the problem of the large-scale weapon target distribution model, the conventional algorithms are low efficient to obtain the solution and can not obtain the fire optimization scheme untimely. Thus a new two-level task optimization distribution model is constructed, which can obtain a distribution scheme in a shorter time by combining the fuzzy clustering algorithm with the auction algorithm. The numerical example shows that the established collaborative task allocation model and the corresponding solution method can get the task allocation scheme in time and effectively, and solve the problem of the fire power optimal allocation of the large-scale weapon-target.

关键词： Collaborative task allocation clustering algorithm auction algorithm

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QSDN-WISE: A New QoS-Based Routing Protocol for Software-Defined Wireless Sensor Networks

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IEEE ACCESS 2019年 7卷 61070-61082页

作者： Tan, Xiaobo Zhao, Hai Han, Guangjie Zhang, Wenbo Zhu, Teng Northeastern Univ Sch Comp Sci & Engn Shenyang 110819 Liaoning Peoples R China Qingdao Univ Sci & Technol Sch Informat Sci & Technol Qingdao 266061 Shandong Peoples R China Hohai Univ Dept Informat & Commun Syst Changzhou 213022 Peoples R China Shenyang Ligong Univ Sch Informat Sci & Engn Shenyang 110159 Liaoning Peoples R China

Today, a wide variety of applications with different requirements are rapidly developed in industrial wireless sensor networks, and providing the Quality of Service (QoS) for this kind of communication network is inevitable. It is difficult to solve the problems of poor adaptability and difficulty in the implementation of the QoS-based network configuration and management in traditional network architecture. We present a hierarchical software-defined network architecture for wireless sensor networks, which makes the complex network management possible and the system more adaptable. Furthermore, we propose a QoS-based routing protocol, called QSDN-WISE, which consists of a clustering algorithm, a routing algorithm, and local network maintenance. A double-cluster head-based uneven clustering algorithm, called DCHUC, avoids the energy hole phenomenon and reduces the workload of a single cluster head. The centralized QSDN-WISE routing algorithm constructs two heterogeneous forwarding paths for nodes, which meets the requirements for different data levels. Local network maintenance reduces the number of control messages in the network. The simulation results indicate that the QSDN-WISE can provide the QoS support for data with different requirements, balance the network energy consumption, and prolong the network's lifetime.

关键词： Wireless sensor networks QSDN-WISE DCHUC clustering algorithm energy hole routing algorithm network lifetime

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Joint Multigroup Precoding and Resource Allocation in Integrated Terrestrial-Satellite Networks

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2019年第8期68卷 8075-8090页

作者： Deng, Boyu Jiang, Chunxiao Yan, Jian Ge, Ning Guo, Song Zhao, Shanghong Air Force Engn Univ Xian 710077 Shaanxi Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Beijing Natl Res Ctr Informat Sci & Technol Beijing 100084 Peoples R China Tsinghua Univ Tsinghua Space Ctr Beijing 100084 Peoples R China Tsinghua Univ Shenzhen Key Lab EDA Res Inst Shenzhen 518057 Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China Air Force Engn Univ Coll Informat & Nav Xian 710077 Shaanxi Peoples R China

The integrated terrestrial-satellite network (ITSN) combines cellular networks and satellite networks to provide services for the ever-increasing users, where the coexistence of the two systems can not only highlight their advantages but also bring serious interference. Confronted with the target of maximizing the network capacity and ensuring the quality-of-service (QoS) for large number of users, we propose a framework-involved joint optimization of the multigroup precoding and resource allocation in the ITSN. In the multigroup precoding, we ameliorate the interference by optimizing the user access scheme, where the users with weak correlation on channel state information are distributed into the same group, such that all the users are divided into multiple groups and served at different time slots. To realize this multigroup precoding, first, we propose the multilevel clustering based grouping approach to obtain the groups in each cell or satellite. Second, we match those groups at different time slots to minimize intra-system interference and inter-system interference according to the proposed shortest path pairing algorithm and satellite users precoding method, respectively. In the resource allocation, we first transform the complicated non-convex problem into multiple convex subproblems, and then propose the collaborative power allocation method to optimize the power control for the whole network. Our simulation results show that the joint multigroup precoding and the resource allocation method is superior to the existing algorithms in terms of system capacity and QoS, which can significantly improve the performance of the ITSN.

关键词： Integrated terrestrial-satellite network multigroup precoding power allocation clustering algorithm convex optimization

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