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A degree-based block model and a local expansion optimization algorithm for anti-community detection in networks

Jiajing Zhu, Yongguo Liu, Changhong Yang, Wen Yang, Zhi Chen, Yun Zhang, Shangming Yang, Xindong Wu, Sebastián Gonçalves
2018 PLoS ONE  
Anti-community detection in networks can discover negative relations among objects.  ...  Experiments on DBM-Net with up to 100000 nodes and 17 real-world networks demonstrate the effectiveness and efficiency of LEOA for anti-community detection in networks. , et al. (2018) A degree-based block  ...  for anti-community detection in synthetic and real-world networks.  ... 
doi:10.1371/journal.pone.0195226 pmid:29668688 pmcid:PMC5906029 fatcat:lnvetgojxvd45gfqztb3urcgoi

ANDERATION: A New Anti-community Detection Algorithm and Its Application to Explore Incompatibility of Traditional Chinese Medicine

Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Yonghua Xiao, Hao Wu, Xiaofeng Liu, Zijie Chen, Shuangqing Zhai
2019 IEEE Access  
INDEX TERMS Anti-community detection, complex network, incompatibility of herbs, traditional Chinese medicine.  ...  The problem of community detection has attracted great attentions from various fields and community structure is one of the most important characteristics in complex networks.  ...  and efficiency in dealing with real-world networks.  ... 
doi:10.1109/access.2019.2934227 fatcat:ac3jzrhaezfglet33zsyxdr32q

Data-Driven Methods for Next Generation of Wireless Communication Networks

Vijayakumar Ponnusamy
2020 International Journal of Advanced Trends in Computer Science and Engineering  
The next generation of wireless communications networks will be very complex with the heterogeneous nature of nodes, radio access mechanisms, communication links, and network slices.  ...  The network will be more dynamic, which requires an intelligent system to address those complex heterogeneous scenarios and to adapt to the dynamics of wireless channels and environments.  ...  The network would be more diverse, needing an adaptive device to handle these complex heterogeneous situations and respond to the complexities of wireless networks and ecosystems.  ... 
doi:10.30534/ijatcse/2020/73942020 fatcat:ifrl2z27gbcrvjahwhj2nj3cla

The Research on Combinative Modeling Architecture based on Network for Simulation of System of Equipment's Operating Efficiency

Zheng WANG
2017 DEStech Transactions on Computer Science and Engineering  
In allusion to these features, such as much of simulation platform of system of equipment's operating efficiency, the complexity of command, information interaction relationship, simulation operation rules  ...  This architecture is high-effectively combinative and extensive, can describe the simulation field of system of equipment's operating efficiency in detail, especially the comparatively looser organization  ...  On this basis, in allusion to features of networked system operations, combinative model architecture of networked air-defense anti-missile system is extended and established. (1) Platform combinative  ... 
doi:10.12783/dtcse/itme2017/7969 fatcat:tojnjujbora27mil3odn4lo4dy

Special Issue on Advanced Technique and Future Perspective for Next Generation Optical Fiber Communications

Jian Zhao, Jiangbing Du, Yang Yue, Jianguo Liu
2022 Photonics  
Optical communication refers to the communication mode with optical signal as a carrier [...]  ...  Hough transform, a classical method for line detection in digital image processing, is applied to fringe detection in intercept matrix.  ...  Artificial intelligence technology in optical communication and optical network is still in its infancy, but has made some progress in deep convolution networks (DCN) and time lens-optical neural networks  ... 
doi:10.3390/photonics9050280 fatcat:dbs2m5zrcvd3plfkfja6spoave

Guest Editorial: Cognitive and AI-enabled Wireless and Mobile Communications

2020 IET Communications  
, cognitive radio communication systems, cooperative and relay networks and communications, and RF energy harvesting communications.  ...  His current research interests span a wide range of topics in radio and mobile communications, including 5G/6G wireless communication systems, physical layer security, machine learning in communications  ...  and electronic engineering in 2007, MSc degree in radio and mobile communication systems in 2008 and PhD degree in communications and electronics engineering in 2016, all from the University of Hertfordshire  ... 
doi:10.1049/iet-com.2020.0813 fatcat:r4jviowxxfhp7bz6sm6hn5okau

Table of contents

2019 IEEE Communications Letters  
Lee 616 PROTOCOLS FOR MOBILE NETWORKS An Efficient Dynamic Anti-Collision Protocol for Mobile RFID Tags Identification ....................................... ..........................................  ...  Su 708 Online Learning-Based Energy-Efficient Frame Aggregation in High Throughput WLANs .............. R.  ... 
doi:10.1109/lcomm.2019.2906984 fatcat:lpvdgvzi2jagdje6c5ostzlasu

Multi-Channel and Multi-Agent Signal Processing

Angelo Coluccia
2022 Applied Sciences  
Multi-channel and array signal processing is a well-established field with fundamental applications in wireless communications, radar/sonar, remote sensing, medical imaging, and more [...]  ...  Finally, in "Reinforcement Learning-Based Anti-Jamming in Networked UAV Radar Systems", by Q. Wu, H. Wang, X. Li, B. Zhang, and J.  ...  Peng [15] , the problem of quantifying and optimizing the anti-jamming performance of networked UAV radar systems is addressed.  ... 
doi:10.3390/app12041851 fatcat:zmut2jqovrcetcx5qs7simjr4y

Simulation of Dynamic User Network Connection Anti-Interference and Security Authentication Method Based on Ubiquitous Internet of Things

Mingming Pan, Shiming Tian, Jindou Yuan, Songsong Chen, Sang-Bing Tsai
2021 Mathematical Problems in Engineering  
power communication network anti-interference model construction and noninterference model, the simulation experiment of anti-interference and security authentication method is carried out.  ...  The results show that, with the increase of the number of antennas, the false detection probability decreases from 10−1 to 10−4, which can achieve better performance in the detection of active users.  ...  segment of power communication network and the anti-interference of model multiterminal power terminal communication network. e experimental results show that the design method has good anti-interference  ... 
doi:10.1155/2021/5687208 fatcat:rpw4iqzxljfrjewmgfd4v2r5fe

Industrial Internet of Things Anti-Intrusion Detection System by Neural Network in the Context of Internet of Things for Privacy Law Security Protection

Di Teng, Mu-Yen Chen
2022 Wireless Communications and Mobile Computing  
Additionally, three network technologies are combined, and an IIoT anti-intrusion detection system is constructed. The performance of the system is tested and verified.  ...  Therefore, an anti-intrusion detection system has been established to improve the privacy law security protection of IIoT.  ...  Unable to detect in a complex network environment Vulnerable to leaks when targeting multiple targets  ... 
doi:10.1155/2022/7182989 fatcat:jiipejypefaoblr5fqomkmomtm

Community Detection in Complex Networks based on Improved Genetic Algorithm and Local Optimization

Kun Deng, XingYan Liu, WenPing Li
2016 International Journal of Grid and Distributed Computing  
This paper proposes the community detection in complex networks based on improved genetic algorithm and local optimization (IGALO) in terms of the defect that traditional community detection approaches  ...  based on genetic algorithm have strong randomness and weak searching ability in the process of community detection.  ...  Conclusion This paper comes up with the community detection in complex networks based on improved genetic algorithm and local optimization (IGALO) in terms of the defect that traditional community detection  ... 
doi:10.14257/ijgdc.2016.9.10.32 fatcat:uavqer2bgzfsznxybvhq3josjm

SACT: A New Model of Covert Communication Based on SDN

Leyi Shi, Yuxiao Song, Zhiyu Xue, Yihao Liu, Honglong Chen
2020 Sensors  
In addition, we introduce a hopping protection mechanism to improve the anti detection ability of the watermark as well.  ...  The experimental results show that in a variety of simulated network environments, SACT achieves excellent detection rate and bit error rate, thus it is sufficient to determine the communication relationship  ...  Anti-Interference Mechanism In the complex network environment, there are network jitters and other factors that affect the arrival delay of data packets, resulting in deviation from the original set delay  ... 
doi:10.3390/s20247300 pmid:33352629 fatcat:hicrvgngnzhnrnzg75ufey6a64

Defining and identifying cograph communities in complex networks

Songwei Jia, Lin Gao, Yong Gao, James Nastos, Yijie Wang, Xindong Zhang, Haiyang Wang
2015 New Journal of Physics  
The approach EPCA and cograph communities To detect the cograph communities of a complex network efficiently, we give an algorithm called the EPCA, a typical divisive algorithm based on edge P 4 centrality  ...  Introduction As one hotspot and keystone of the research on complex networks, community or module detection has been heavily developed in the past few decades [1] .  ...  EPCA suffering from the transition between undetectable and detectable regimes Recently, a very novel counter-intuitively paradox in-community detection was proposed by F Radicchi [59] , which tells us  ... 
doi:10.1088/1367-2630/17/1/013044 fatcat:yz6c7ksqvbarjjls2f44arrreu

LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection [article]

Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
2022 arXiv   pre-print
, a highly compact deep anti-aliased attention condenser neural network architecture tailored specifically for light guide plate surface defect detection in resource-constrained scenarios.  ...  Advances in deep learning-driven computer vision has led to the exploration of automated visual quality inspection of light guide plates to improve inspection consistency, accuracy, and efficiency.  ...  complexity when compared to state-of-the-art efficient deep neural network architectures.  ... 
arXiv:2204.11765v1 fatcat:kj3ux53gtfd6hl5g5a7vlxpkji

The Integration of Simulation Model for Anti-Missile Process Based on a DDS Real-Time Platform

Zhi-gang TIAN, Chun-xia ZHAO, Zhi-ping SHEN
2017 DEStech Transactions on Computer Science and Engineering  
control, system control and human-computer interaction mode based on real time network platform have been implemented in this paper.  ...  To realize the whole process simulation model integration and deduction of target detection, tracking, identification, interception and data communication of ballistic missile defense system, the communication  ...  In the centralized DDS architecture, data distribution service network in the presence of a globally unique server node, the server node stores each node communication between the necessary information  ... 
doi:10.12783/dtcse/itme2017/7967 fatcat:xdk3lwsqpvcejfhyjygaq6up5q
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