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NBgossip:An Energy-Efficient Gossip Algorithm for Wireless Sensor networks

Journal of computer Science & technology 2008年第3期23卷 426-437页

作者：陆峰谢良镇郑国良钟伟豪 Center for multimedia and network technology School of Computer EngineeringNanyang Technological University

Gossip-based algorithms for information dissemination have recently received significant attention for sensor and ad hoc network applications because of their simplicity and robustness. However, a common drawback of many gossip-based protocols is the waste of energy in passing redundant information over the network. Thus gossip algorithms need to be re-engineered in order to become applicable to energy constrained networks. In this paper, we consider a scenario where each node in the network holds a piece of information （message） at the beginning, and the objective is to simultaneously disseminate all information （messages） among all nodes quickly and cheaply. To provide a practical solution to this problem for ad hoc and sensor networks, NBgossip algorithm is proposed, which is based on network coding and neighborhood gossip. In NBgossip, nodes do not simply forward messages they receive, instead, the linear combinations of the messages are sent out. In addition, every node exchanges messages with its neighboring nodes only. Mathematical proof and simulation studies show that the proposed NBgossip terminates in the optimal O（n）-order rounds and outperforms the existing gossip-based approaches in terms of energy consumption incurred in spreading all the information.

关键词： data dissemination gossip network coding sensor networks

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A QoS-aware routing algorithm based on ant-cluster in wireless multimedia sensor networks

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Science China(Information Sciences) 2014年第10期57卷 77-92页

作者： HUANG HaiPing CAO Xiao WANG RuChuan WEN YongGang College of computer Nanjing University of Posts and Telecommunications Jiangsu High technology Research Key Laboratory for Wireless Sensor networks Key Lab of Broadband Wireless Communication and Sensor network technology of Ministry of Education Nanjing University of Posts and Telecommunications school of computer engineering Nanyang Technological University

QoS-aware routing algorithm is important in wireless multimedia sensor networks. This paper formulates a generalized QoS-aware routing model on the basis of multiple routing metrics and priorities of packets. We first introduce a 2D plain-based routing algorithm IPACR which improves the standard ant colony algorithm by optimizing the initial distribution of artificial pheromone in order to accelerate the algorithm convergence rate. Then a clustering-based routing algorithm ICACR is presented which can be well applied in a large scale network. ICACR is a variation of IPACR because it can be suitable for clustering cases to satisfy the larger scale situations. Both the numerical algorithm performance analysis and simulation of IPACR and ICACR are given. The results show that ICACR outperforms IPACR in terms of both network lifetime and QoS-aware routing metrics in large scale wireless multimedia sensor networks. Moreover, the simulation based on the real video traces shows that by extending the multi-path to ICACR for different priorities of video frames better performance can be achieved.

关键词： ant colony clustering-based multi-path QoS-aware routing algorithm wireless multimedia sensor networks

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Subtitle and Audio

Subtitle and Audio

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The 12th International multimedia Modelling Conference(MMM2006)

作者： Liang-Tien Chia Deepu Rajan centre for multimedia and network technology school of computer engineering nanyang technological university Singapore639798

From a personalized media point of view,many users favor a flexible tool to quickly browse the affective content in a *** affective content may cause audiences’ strong reactions or special emotional experiences,such as anger,sadness,fear,joy and *** paper attempt to extract affective content for digital videos by analyzing the subtitle files of DVD/DivX videos and utilizing audio event to assist affective content ***,video are segmented by dialogue script *** to traditional video shot,video segmented by scripts is not affected by camera changes and shooting angles and easy to include video segments with compact ***,emotion-related vocabularies in video script are detected to locate affective video *** script to directly access video content avoids complex video ***,audio event detection is utilized to assist affective content *** with traditional video semantic analysis,affective content analysis puts much more emphasis on the audience’s reactions and *** experiments are carried on sitcom videos because its simple video structure provides useful domain *** experimental results demonstrate that subtitle file analysis and audio event detection provides effective and efficient clues to determine the emotional content of the videos.

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Region-adaptive Concept Aggregation for Few-shot Visual Recognition

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Machine Intelligence Research 2023年第4期20卷 554-568页

作者： Mengya Han Yibing Zhan Baosheng Yu Yong Luo Han Hu Bo Du Yonggang Wen Dacheng Tao school of computer Science National Engineering Research Center for Multimedia SoftwareWuhan UniversityWuhan430072China Hubei Luojia Laboratory Wuhan430072China school of computer Science The University of SydneySydney2006Australia JD Explore Academy Beijing101116China school of Information and Electronics Beijing Institute of TechnologyBeijing100081China school of computer Science and engineering Nanyang Technological UniversitySingapore639798Singapore

Few-shot learning (FSL) aims to learn novel concepts from very limited examples. However, most FSL methods suffer from the issue of lacking robustness in concept learning. Specifically, existing FSL methods usually ignore the diversity of region contents that may contain concept-irrelevant information such as the background, which would introduce bias/noise and degrade the performance of conceptual representation learning. To address the above-mentioned issue, we propose a novel metric-based FSL method termed region-adaptive concept aggregation network or RCA-Net. Specifically, we devise a region-adaptive concept aggregator (RCA) to model the relationships of different regions and capture the conceptual information in different regions, which are then integrated in a weighted average manner to obtain the conceptual representation. Consequently, robust concept learning can be achieved by focusing more on the concept-relevant information and less on the conceptual-irrelevant information. We perform extensive experiments on three popular visual recognition benchmarks to demonstrate the superiority of RCA-Net for robust few-shot learning. In particular, on the Caltech-UCSD Birds-200-2011 (CUB200) dataset, the proposed RCA-Net significantly improves 1-shot accuracy from 74.76% to 78.03% and 5-shot accuracy from 86.84% to 89.83% compared with the most competitive counterpart.

关键词： Few-shot learning metric-based meta learning concept learning region-adaptive concept-aggregation

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Automated Controller Placement for Software-Defined networks to Resist DDoS Attacks

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computers, Materials & Continua 2021年第9期68卷 3147-3165页

作者： Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Lee Ching Kwang Rizaludin Kaspin Bhawani Shankar Chowdhry Rajkumar Buyya Satya Prasad Majumder Manoj Gupta Shuaib Memon Faculty of Computing&Informatics Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation CentreCyberjaya63000SelangorMalaysia National Center of Robotics and Automation Mehran University of Engineering&TechnologyJamshoroPakistan Department of computer Science and engineering Hanyang UniversitySeoul04763South Korea school of Electrical and Electronic engineering Nanyang Technological University639798Singapore Cloud Computing and Distributed Systems Laboratory The University of MelbourneMelbourneVIC 3053Australia Department of Electrical and Electronic engineering Bangladesh University of Engineering and Technology(BUET)Dhaka1205Bangladesh Department of Electronics and Communication engineering JECRC UniversityVidhaniJaipur303905India Auckland Institute of Studies Mt AlbertAucklandNew Zealand

In software-defined networks(SDNs),controller placement is a critical factor in the design and planning for the future Internet of Things(IoT),telecommunication,and satellite communication *** research has concentrated largely on factors such as reliability,latency,controller capacity,propagation delay,and energy ***,SDNs are vulnerable to distributed denial of service(DDoS)attacks that interfere with legitimate use of the *** ever-increasing frequency of DDoS attacks has made it necessary to consider them in network design,especially in critical applications such as military,health care,and financial services networks requiring high *** propose a mathematical model for planning the deployment of SDN smart backup controllers(SBCs)to preserve service in the presence of DDoS *** a number of input parameters,our model has two distinct ***,it determines the optimal number of primary controllers to place at specific locations or nodes under normal operating ***,it recommends an optimal number of smart backup controllers for use with different levels of DDoS *** goal of the model is to improve resistance to DDoS attacks while optimizing the overall cost based on the *** simulated results demonstrate that the model is useful in planning for SDN reliability in the presence of DDoS attacks while managing the overall cost.

关键词： SDN automated controller placement SBC ILP DDoS attack

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