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International Symposium on Computational Intelligence and Design

作者： Chao Ding Lijun Yang Meng Wu College of Computer Science Nanjing University of Posts and Telecommunications Key Lab of "Broadband Wireless Communication and Sensor Network Technology" of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781467395885

To minimize the damage of false data injection attack, detecting the false injected data for the in-network aggregation in sensor networks at an early stage becomes a necessary and challenging task. In this paper, we adopt Hierarchical Bayesian Space-Time (HBST) methodology to characterize the data model of in-network aggregation, and propose a divided difference filter (DDF) based scheme LFDD to detect false injected data. We evaluate the performance of the proposed scheme via the theoretical analysis, and conduct the experiments on the Telosb platform using TinyOS-2.1 to validate the theoretical results. Both the theoretical and experimental results indicate that LFDD is suitable to resist false data injection attack for aggregation in WSNs.

关键词： sensor networks security in-network aggregation hierachical bayesian space-time (HBST) methodology divided difference filter (DDF)

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A low communication cost and delay guaranteed multicast approach for next generation vehicular ad hoc networks

A low communication cost and delay guaranteed multicast appr...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chengchao Ji Zhengkun Mi Wennai Wang Shenghui Zhao School of Computer and Information Chuzhou University Chuzhou China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education) Nanjing University of Posts and Telecommunications Nanjing China

Vehicle Ad hoc networks (VANETs) is an emerging wireless network technology whereby information is generally shared among vehicles through multi-hopping In literature, a number of routing approaches has been proposed for reducing the end-to-end delay. However, the routing approaches applied to support multicast service will be inefficient since none of them considered the share path in VANETs. This paper considers the delay-bound guaranteed multicast service where a vehicle aims to send a message to a group of vehicles using minimal bandwidth within a guaranteed delay bound. The source and multicast destinations are location-aware and trip-aware. Therefore the multicast approach developed for VANETs is totally different to the one in ad hoc networks. The proposed approach forwards the multicast message to the vehicles in the multicast group along the road segment with the least time cost, reserving as much as possible the remaining time for carry-and-forward transmissions which helps reduce the bandwidth consumption for packet transmissions.

关键词： Vehicles Routing Delays Roads Integrated circuits Vehicular ad hoc networks Educational institutions

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Research on network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine

Research on network malicious code dendritic cell immune alg...

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6th China Conference of Wireless Sensor networks, CWSN 2012

作者： Li, Peng Wang, Ruchuan Zhou, Yanting Dai, Qiuyu College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China

ISBN: (纸本)9783642362514

According to the significant impact on the accuracy rate of detection of current immune algorithms brought by incorrect classification of signal, it proposes network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine. It summarizes and compares the pros and cons of the four methods, which are basic artificial intelligence immune algorithm, detection of unknown viruses based on immunity theory, malicious code immunity based on cryptography and automated intrusion response based on danger theory. It elaborates the process of the algorithm of the proposed immune algorithm, discusses a variety of input and output signals, gives the samples of the actual input signals, applies the coefficient of variation method to determine the values of the weights so as to enhance the discrimination ability of signal processing results, describes the principle and algorithm steps of fuzzy weighted support vector machine clustering method within immune algorithm proposed. By comparing the fuzzy aggregation before and after the immunization program experiments, it draws the conclusion that the proposed immune algorithm can optimize the input signal, fuzzy clustering the signal and the antigen, so as to bring down the number of immunization strategies and reduce the immune response time, as a result it improve the efficiency and performance of the immune system. © 2013 Springer-Verlag.

关键词： Cells

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R-PMD: robust passive motion detection using PHY information with MIMO

R-PMD: robust passive motion detection using PHY information...

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IEEE International Conference on Performance, Computing and communications (IPCCC)

作者： Hai Zhu Fu Xiao Lijuan Sun xiaohui Xie Panlong Yang Ruchuan Wang College of Computer Nanjing University of Posts and Telecommunications China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education China College of Communications Engineering PLA University of Science and Technology China

Robust Device-free passive (Dfp) detection is an essential primitive for a broad range of applications such as intrusion detection and smart space. Most recent works focus on finer-grained Channel State Information (CSI), instead of the variable Received Signal Strength (RSS). However, existing solutions have some limitations, being feasible only in the line of sight (LOS) or for more than one targeted entities. Moreover, space diversity supported by the MIMO systems hasn't been fully investigated. Motivated by this observation, we propose a novel scheme for Robust Passive Motion Detection (R-PMD). In our scheme, the variance of CSI amplitude feature is extracted as a new metric and the earth mover's distance (EMD) is utilized to determine the detection results. Besides, CSIs across multiantennas are further exploited to improve the detection precision and robustness. We prototype R-PMD on commercial WiFi devices and evaluate it in a typical indoor scenario. Experiment results show R-PMD can achieve great performance in terms of sensitivity and robustness.

关键词： Feature extraction MIMO Robustness Wireless communication Legged locomotion Receiving antennas Measurement

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Improving the Transmission Rate by A Two-Phase Hybrid Duplex Scheme for Gaussian Relay Channel

Improving the Transmission Rate by A Two-Phase Hybrid Duplex...

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IEEE International Conference on communications (ICC)

作者： Jianxin Duan Zhengchuan Chen Zhong Tian Min Wang Li Zhen Dapeng O. Wu Tony Q. S. Quek School of Microelectronics and Communication Engineering. Chongquing University Chongqing China Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and Telecommunications Xi'an China School of Optoelectronics Engineering Chongqing University of Posts and Telecommunications Chongqing China Department of Computer Science City University of Hong Kong Hong Kong Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Combining half-duplex (HD) and full-duplex (FD) is promising in improving the information transmission rate of relay channels. This work proposes a novel two-phase hybrid duplex scheme for Gaussian relay channel where the relay operates in FD mode for a fraction of time and only transmits information for the rest of time. The achievable rate of the proposed hybrid duplex scheme is characterized in detail. Based on the obtained result, a joint time division and power allocation problem is formulated to maximize the achievable rate. In particular, the formulated problem is solved through a two-step optimization method. Firstly, the optimal relay power allocation is obtained for given time division factors. Then, the achievable rate maximization problem is addressed by finding the optimal time division factors. The closed-form expression for the maximal achievable rate is derived for some specific cases. Numerical results show that the proposed two-phase hybrid duplex scheme significantly improves the achievable rate of Gaussian relay channel compared with existing benchmark schemes.

关键词： Closed-form solutions Half-duplex system Optimization methods Information processing Full-duplex system Benchmark testing Resource management

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RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine

arXiv

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arXiv 2023年

作者： Pu, Hua Mi, Jiacong Lu, Shan He, Jieyue School of Computer Science and Engineering Key Lab of Computer Network and Information Integration MOE Southeast University Jiangsu Nanjing210018 China Nanjing Fenghuo Tiandi Communication Technology Co. Ltd Jiangsu Nanjing211161 China

Traditional Chinese medicine (TCM) prescription is the most critical form of TCM treatment, and uncovering the complex nonlinear relationship between symptoms and TCM is of great significance for clinical practice and assisting physicians in diagnosis and treatment. Although there have been some studies on TCM prescription generation, these studies consider a single factor and directly model the symptom-prescription generation problem mainly based on symptom descriptions, lacking guidance from TCM knowledge. To this end, we propose a RoBERTa and Knowledge Enhancement model for Prescription Generation of Traditional Chinese Medicine (RoKEPG). RoKEPG is firstly pre-trained by our constructed TCM corpus, followed by fine-tuning the pre-trained model, and the model is guided to generate TCM prescriptions by introducing four classes of knowledge of TCM through the attention mask matrix. Experimental results on the publicly available TCM prescription dataset show that RoKEPG improves the F1 metric by about 2% over the baseline model with the best results. © 2023, CC BY.

关键词： Diagnosis

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SiamIRPN: Siamese Visual Tracking with Improved Region Proposal networks

SiamIRPN: Siamese Visual Tracking with Improved Region Propo...

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2023 International Conference on Frontiers of Robotics and Software Engineering, FRSE 2023

作者： Cao, Dun Dai, Renhua Zhao, Tianyu Alqahtani, Fayez Tolba, Amr Sherratt, R. Simon Zhu, Min Changsha University of Science and Technology School of Computer and Communications Engineering Hunan Changsha China Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadcast Wireless Communication and Sensor Network Technology China King Saud University College of Computer and Information Sciences Software Engineering Department Riyadh12372 Saudi Arabia King Saud University Community College Computer Science Department Riyadh11437 Saudi Arabia The University of Reading School of Biomedical Engineering RG6 6AY United Kingdom Zhejiang Shuren University College of Information Science and Technology Zhejiang31000 China

ISBN: (纸本)9798350301113

Though introducing the Region Proposal network (RPN) from object detection enabled Siamese trackers' success, RPN-based trackers still struggle in challenging scenarios. We posit that the reason comes from two major limitations of the introduced RPN, where one is that the external structure of the RPN is simple and straight, the other is that the internal components used in RPN cannot cope with complex scenes. In this paper, we propose an Improved RPN (IRPN) suitable for visual tracking. Externally, we place a Convolutional Block Attention Mechanism (CBAM) to the IRPN, and internally, we adopt the advanced component groups for the IPRN. Using multiple IRPN blocks and deep architecture, we propose a Siamese tracker (SiamIRPN) having a layer-wise structure. Comprehensive experiments and ablation studies on five benchmarks (VOT-2019, OTB100, UAV123, GOT-10k, and NFS) show our proposed SiamIRPN achieves competitive performance. © 2023 IEEE.

关键词： Object detection

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Age of Information in Internet of Vehicles: A Discrete-Time Multisource Queueing Model

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IEEE Transactions on communications 2024年第5期73卷 3298-3317页

作者： Zhang, Tianci Chen, Zhengchuan Tian, Zhong Wang, Min Zhen, Li Wu, Dapeng Oliver Li, Yonghui Quek, Tony Q. S. Chongqing University School of Microelectronics and Communication Engineering China Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Information Communication Network and Security China Chongqing University of Posts and Telecommunications School of Optoelectronics Engineering China City University of HongKong Department of Computer Science Hong Kong Hong Kong The University of Sydney School of Electrical and Information Engineering Australia Singapore University of Technology and Design 487372 Singapore Yonsei University Yonsei Frontier Lab Korea Republic of

This work studies information freshness of a V2I status updating link in IoV. The status updating link is modeled as a multi-source Ber/Geo/1/1 non-preemptive or preemptive queue. We focus on statistical characteristics of the age of information (AoI) and peak AoI (PAoI). To fully track the AoI evolutions under non-preemptive and preemptive policies, Markov three-dimensional age process (3DAP) and two-dimensional age process (2DAP) are respectively introduced. Their first element is the AoI process;The second one stands for if an update of the concerned source is in transmission and its current age;The third element of 3DAP denotes if an update of another source is in transmission. An analytical approach for studying the AoIs and PAoIs in discrete-time multi-source systems is presented. By studying the state transitions, balance equations, and stationary distributions of 3DAP and 2DAP, analytical expressions of the distributions and averages of AoIs and PAoIs under both queueing policies are derived. Moreover, the optimal probabilistic update selection mechanism (PUSM) that maximizes overall freshness is derived in closed-form for the two-source case. Numerical results validate effectiveness of the theoretical analyses and reveal usefulness of the retransmission. It is found that in terms of improving the overall freshness, the PUSM should be designed to make effective update generation probabilities of sources as close as possible. © 1972-2012 IEEE.

关键词： Queueing theory

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Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability

Divide and Conquer: a Two-Step Method for High Quality Face ...

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International Conference on computer Vision (ICCV)

作者： Yunqian Wen Bo Liu Jingyi Cao Rong Xie Li Song Institute of Image Communication and Network Engineering Shanghai Jiao Tong University School of Computer Science University of Technology Sydney MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University

Face de-identification involves concealing the true identity of a face while retaining other facial characteristics. Current target-generic methods typically disentangle identity features in the latent space, using adversarial training to balance privacy and utility. However, this pattern often leads to a trade-off between privacy and utility, and the latent space remains difficult to explain. To address these issues, we propose IDeudemon, which employs a "divide and conquer" strategy to protect identity and preserve utility step by step while maintaining good explainability. In Step I, we obfuscate the 3D disentangled ID code calculated by a parametric NeRF model to protect identity. In Step II, we incorporate visual similarity assistance and train a GAN with adjusted losses to preserve image utility. Thanks to the powerful 3D prior and delicate generative designs, our approach could protect the identity naturally, produce high quality details and is robust to different poses and expressions. Extensive experiments demonstrate that the proposed IDeudemon outperforms previous state-of-the-art methods.

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Perfect Power Visualization-Performance Optimization with Java

Perfect Power Visualization-Performance Optimization with Ja...

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2014 IEEE 5th International Conference on Software Engineering and Service Science

作者： Chenqi Bao Alexander Flueck Jianmin Bao Xuan Shen Computer of Engineering Illinois Institute of Technology (College of IOTNanjing University of Posts and Telecommunications)Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology (College of IOT Nanjing University of Posts and Telecommunications)Ministry of Education

Visualization is critical in power systems engineering since the gigantic amount of data generated by power systems is difficult,and at times impossible,to be analyzed numerically. Therefore,the need for powerful visualization software has been increasingly acute due to the growth in size of power system models. To improve PPV’s performance in order to accompany larger systems,this paper focuses on the development of PPV (Perfect Power Visualization),a 2-D power system visualization software program that processes and conver ts numerical data to graphic symbols based on their types,positions and states. The goal of PPV is to let operators visualize and interact with large-scale power systems in a consumer lever personal computer in real time. Also,it was optimized again with smarter data management systems,refinement of overall structure,and a newer platform that enables GPU acceleration,all of which further increased the performance of PPV by a factor of ten times that of its initial capabilities.

关键词： PPV,Power System Visualization,Java FX,GPU acceleration,Performance Optimization

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