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Cognitive radio adaptation for power consumption minimization using biogeography-based optimization

Chinese Physics B 2016年第12期25卷 499-506页

作者：齐佩汉郑仕链杨小牛赵知劲 School of Telecommunications Engineering Xidian University Xi'an 710071 China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 China School of Telecommunications Hangzhou Dianzi University Hangzhou 310018 China

Adaptation is one of the key capabilities of cognitive radio, which focuses on how to adjust the radio parameters to optimize the system performance based on the knowledge of the radio environment and its capability and characteristics. In this paper, we consider the cognitive radio adaptation problem for power consumption minimization. The problem is formulated as a constrained power consumption minimization problem, and the biogeography-based optimization （BBO） is introduced to solve this optimization problem. A novel habitat suitability index （HSI） evaluation mechanism is proposed, in which both the power consumption minimization objective and the quality of services （QoS） constraints are taken into account. The results show that under different QoS requirement settings corresponding to different types of services, the algorithm can minimize power consumption while still maintaining the QoS requirements. Comparison with particle swarm optimization （PSO） and cat swarm optimization （CSO） reveals that BBO works better, especially at the early stage of the search, which means that the BBO is a better choice for real-time applications.

关键词： cognitive radio power consumption adaptation optimization

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A Vehicular Positioning Enhancement with Connected Vehicle Assistance Using Extended Kalman Filtering 1st

A Vehicular Positioning Enhancement with Connected Vehicle A...

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1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Tian, Daxin Liu, Wenhao Duan, Xuting Rong, Hui Guo, Peng Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach called CV-IMM-EKF. © 2018, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Global positioning system

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REFF: REliable and Fast Forwarding in Vehicular Ad-hoc Network 1st

REFF: REliable and Fast Forwarding in Vehicular Ad-hoc Netwo...

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1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Tian, Daxin Dai, Ziyi Zheng, Kunxian Zhou, Jianshan Duan, Xuting Guo, Peng Rong, Hui Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Vehicular Ad-Hoc Network (VANET) has emerged as an increasingly dominant technology for future connected vehicle and vehicular networks, where the focus of the development of VANET lies in the standardization of message transmission and dissemination via multi-hop broadcasting. However, the current communication protocols concerning VANET face many challenges, including data flooding and collision, transmission delay and other problems. Most of the challenges are closely related to next-hop selection. Therefore, this paper proposes a new routing protocol named REliable and Fast Forwarding (REFF) to optimize the selection of nodes in VANET. In this protocol, node filtering and node evaluation are two main steps. Distance between previous node and candidate node, relative velocity between previous node and candidate nodes, included angle between direction of target node’s velocity and candidate node’s velocity and transmission power of candidate node are adopted as indexes to help select a specific node as the next hop using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). By using this technique, the number of candidates as next-hop is largely reduced, avoiding the data flooding and resulting transmission relay. In addition, simulations based on experiments are done to verify the feasibility. The results show that message achieves a faster and more reliable transmission using REFF. © 2018, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Vehicular ad hoc networks

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Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish 1st

Modeling and Simulation on Cooperative Movement of Vehicle G...

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1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Tian, Daxin Kang, Lu Zheng, Kunxian Duan, Xuting Rong, Hui Guo, Peng Wang, Wenyang Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No.37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No.68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No.30 Beijing100083 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University XueYuan Road No.37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the cooperative movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles. © 2018, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Vehicles

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Pupillary Reactivity to Non-Photorealistic Rendering: A Case Study of Immersion in 3D Cinema

Pupillary Reactivity to Non-Photorealistic Rendering: A Case...

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International Conference on 3D Imaging (IC3D)

作者： Victor FAJNZYLBER Samuel MADARIAGA Rafael DEL VILLAR Pedro MALDONADO Diego Vargas Aria SERRA Milan MAGDICS Mateu SBERT Communication and Imaging Institute University of Chile Departamento de Neurociencia & Biomedical Neuroscience Institute University of Chile National School of Higher Studies Campus Morelia National Autonomous University of Mexico Institute of Informatics and Applications & Graphics and Imaging Laboratory Girona University Department of Control Engineering and Information Technology Budapest University of Technology and Economics School of Computer Science and Technology Tianjin University

ISBN: (纸本)9781538675915;9781538675908

The aim of our research is to build an empirical indicator of cinematic immersion based on ocular data. We study immersion as a gradual and adaptive process of corporal involvement in the cinematic experience. To study its temporal evolution, we analyze correlations between the film and the ocular response, in its attentional aspects (what do we see?) and pupillary aspects (how do we react?). To understand in what ways post-production can favor immersion, we are interested in studying the pupil reactivity to visual attributes of the film: the visual abstraction of a non-photorealistic rendering (NPR) post-production and the optical hyperrealism of stereoscopy. We expect that our results could be useful for conceiving new NPR tools for 3D films and innovative post-production strategies for virtual reality.

关键词： Motion pictures Visualization Three-dimensional displays Stereo image processing Videos Rendering (computer graphics) Correlation

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Big-data analysis of multi-source logs for anomaly detection on network-based system

Big-data analysis of multi-source logs for anomaly detection...

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IEEE International Conference on Automation science and Engineering (CASE)

作者： Zhanpei Jia Chao Shen Xiao Yi Yufei Chen Tianwen Yu Xiaohong Guan Xi'an Jiaotong University Xi'an Shaanxi CN Control Laboratory MOE Key Laboratory for Intelligent Networks and Network Security and Science and Technology on Electronic Information

Log data are important audit basis to record routine events occurring on computer or network system, which are also critical data source for detecting system anomalies. By analyzing the data from multi-source logs, it is helpful to detect abnormal system behaviors and discover intruder attacks in real time. In this paper, a Spark-based log data security platform is designed and built to analyze the large-scale log data and detect abnormal network behaviors. By integrating data mining, machine learning, and statistical analysis technologies, our proposed framework can quickly analyze large-scale multi-source log data and accurately discriminate the abnormal behaviors. Furthermore, the association analysis is applied to detect abnormal behaviors or potential threats in the system. Under a real-world network environment, extensive experiments are conducted to evaluate the system performance, which can achieve a fast and accurate detection for abnormal network behaviors, and significantly improve the accuracies under various types of network attack scenarios.

关键词： Intrusion detection Anomaly detection Monitoring Clustering algorithms Linux

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HRPGAN: A GAN-based Model to Generate High-resolution Remote Sensing Images

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IOP Conference Series: Earth and Environmental science 2020年第1期428卷

作者： Hai Sun Ping Wang Yifan Chang Li Qi Hailei Wang Dan Xiao Cheng Zhong Xuelian Wu Wenbo Li Bingyu Sun China Telecom Shanghai Ideal Information Industry (Group) Co. Ltd Shanghai China Department of Airborne Remote Sensing National Disaster Reduction Center of China Beijing China Institute of Technology Innovation Hefei Institute of Physical Science Chinese Academy of Sciences Hefei China The Third Research Institute of the Ministry of Public Security Shanghai China Guizhou Key Laboratory of Economics System Simulation Guizhou University of Finance and Economics Guiyang China Beijing Aerospace Flight Control Center Beijing China Institute of Intelligent Machines Chinese Academy of Sciences Hefei China

Generative adversarial networks (GAN) has been mainly used in the generation of natural images such as MNIST, CIFAR10 as well as Imagenet datasets and achieves satisfying generation results. However, GAN always fails in generating high quality high-resolution remote sensing images because remote sensing images are large in size and have various ground objects. To address this issue, a novel framework called High-Resolution PatchGAN (HRPGAN) is introduced in this paper. The structure of HRPGAN follows PatchGAN, but the batch normalization layers are removed and the ReLU activation is replaced by the SELU activation. In addition, a new loss function consisting of the adversarial loss, perceptual reconstruction loss and regularization loss is used in HRPGAN. Experiment results show that the proposed HRPGAN model generates the more diverse and lifelike images in HR remote sensing generation than Bicubic method and TGAN model.

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A secure and high-performance multi-controller architecture for software-defined networking

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Frontiers of information technology & Electronic Engineering 2016年第7期17卷 634-646页

作者： Huan-zhao WANG Peng ZHANG Lei XIONG Xin LIU Cheng-chen HU Department of Computer Science and Technology Xi'an Jiaotong UniversityXi'an 710059China Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Shijiazhuang 050081China MOE Key Laboratory for Intelligent Networks and Network Security Xi'an Jiaotong UniversityXi'an 710049China

controllers play a critical role in software-defined networking(SDN).However,existing singlecontroller SDN architectures are vulnerable to single-point failures,where a controller's capacity can be saturated by flooded flow *** addition,due to the complicated interactions between applications and controllers,the flow setup latency is relatively *** address the above security and performance issues of current SDN controllers,we propose distributed rule store(DRS),a new multi-controller architecture for *** DRS,the controller caches the flow rules calculated by applications,and distributes these rules to multiple controller *** controller instance holds only a subset of all rules,and periodically checks the consistency of flow rules with each *** from switches are distributed among multiple controllers,in order to mitigate controller capacity saturation *** the same time,when rules at one controller are maliciously modified,they can be detected and recovered in *** implement DRS based on Floodlight and evaluate it with extensive *** results show that DRS can effectively maintain a consistently distributed rule store,and at the same time can achieve a shorter flow setup time and a higher processing throughput,compared with ONOS and Floodlight.

关键词： Software-defined networking(SDN) security Multi-controller Distributed rule store

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Weak value amplification via second-order correlated technique

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Chinese Physics B 2016年第2期25卷 58-61页

作者：崔挺黄靖正刘翔曾贵华 State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Laboratory on Navigation and Location-based Serviceand Center of Quantum Information Sensing and Processing Shanghai Jiao Tong University Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai Institute of Spaceflight Control Technology College of Information Science and Technology Northwest University

We propose a new framework combining weak measurement and second-order correlated technique. The theoretical analysis shows that weak value amplification （WVA） experiment can also be implemented by a second-order correlated system. We then build two-dimensional second-order correlated function patterns for achieving higher amplification factor and discuss the signal-to-noise ratio influence. Several advantages can be obtained by our proposal. For instance, detectors with high resolution are not necessary. Moreover, detectors with low saturation intensity are available in WVA setup. Finally, type-one technical noise can be effectively suppressed.

关键词： weak measurement two-dimensional second-order correlated function

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Semi-fragile watermarking for image authentication based on compressive sensing

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science China(information sciences) 2016年第5期59卷 248-250页

作者： Ling DU Xiaochun CAO Wei ZHANG Xinpeng ZHANG Na LIU Jianguo WEI School of Computer Science and Technology Tianjin University School of Computer Shenyang Aerospace University State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences School of Communication and Information Engineering Shanghai University

Dear editor,With the aid of sophisticated photoediting software,multimedia content security is becoming increasingly prominent[1,2].The problems of verifying the integrity and recovering the alterations have been a major research topic for information security and multimedia[3–6].Semi-fragile watermarking techniques are more powerful in dealing with such cases,which are fragile to malicious modifications meanwhile robust to incidental

关键词： DCT Semi-fragile watermarking for image authentication based on compressive sensing

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