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1st International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010

作者： Shen, Linlin Bai, Li Ji, Zhen Shenzhen Key Laboratory of Embedded System Design School of Computer Science and Software Engineering Shenzhen University Shenzhen China School of Computer Science University of Nottingham Nottingham United Kingdom

ISBN: (纸本)9781424470655

Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics, i.e. palmprint and finger-knuckle-print. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Experimental results show that much better performance than single modal biometrics has been achieved. © 2010 IEEE.

关键词： Biometrics

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Monitor-based Liveness-enforcing Petri Net Supervisors for Flexible Manufacturing systems 33

Monitor-based Liveness-enforcing Petri Net Supervisors for F...

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第三十三届中国控制会议

作者： YOU Dan WANG Shouguang ZHOU MengChu WU Wenhui School of Information & Electronic Engineering Zhejiang Gongshang University IEEE State Key Laboratory for Manufacturing Systems Engineering Xi’ an Jiaotong University The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102USA

ISBN: (纸本)9781479947249

Deadlocks are a rather undesirable phenomenon in flexible manufacturing systems(FMSs).This work,by adding monitors,develops a deadlock prevention policy for FMSs that can be modeled by a class of Petri nets called-S3 PR ***,an algorithm is given to reduce an S3 PR via *** on it,-resources in-S3 PRs are classified into A--resources and ***,for an-S3 PR with only B--resources,it is proved that a maximally permissive liveness-enforcing supervisor can be designed by M-controlling all the emptied strict minimal siphons(SMSs).For an-S3 PR containing A--resources,a liveness-enforcing supervisor can be designed by iteratively reducing the net via A--resources and adding the corresponding ***,a comprehensive deadlock prevention algorithm for-S3 PRs is *** FMS example is used to illustrate its application.

关键词： Flexible manufacturing system(FMS),Petri nets,deadlock prevention policy,supervisory control

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An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 4026-4041页

作者： Zhu, Kun Zhang, Nana Ding, Weiping Jiang, Changjun the Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China Collaborative Innovation Center for Financial Network Security Tongji University Shanghai201804 China the School of Computer Science and Technology Donghua University Shanghai201620 China the School of Information Science and Technology Nantong University Nantong226019 China

Heterogeneous fraud detection is an important means of credit card security assurance, which can utilize historical transaction records in a source and target domain to build an effective fraud detection model. Nevertheless, large feature distribution differences between source and target transaction instances and the complex intrinsic structure hidden behind transaction data make it difficult for existing credit card fraud detection (CCFD) models to capture and transfer the most informative feature representations and seriously hinder detection performance. In this work, we propose a novel adaptive heterogeneous CCFD model named adaptive heterogeneous credit card fraud detection model based on deep reinforcement training subset selection (RTAHC) based on deep reinforcement training subset selection, which mainly contains two components: selection distribution generator (SDG) and transaction fraud detector (TFD, including feature extractor with an attention mechanism and classifier). The SDG can generate the selection probability distribution vector via the reinforcement reward mechanism, and then transaction instances in the source domain relevant to the target domain are selected. The feature extractor with an attention mechanism can learn the abstract deep semantic feature representations of selected source transaction instances and the target domain. The joint training of SDG and TFD can provide more real-time and accurate transaction feature representations to reduce the distribution discrepancy between the two domains. We verify the detection performance of RTAHC across a large real-world credit card transaction dataset and four public datasets. Experimental results demonstrate that the RTAHC model can exhibit competitive CCFD performance. Impact Statement—With the rise of artificial intelligence (AI)generated models, credit card fraud has become increasingly rampant, which also causes tens of billions of U.S. dollars in credit card losses worldwide every year

关键词： Hidden Markov models

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An enhanced two-factor user authentication in wireless sensor networks

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Telecommunication systems 2013年第1期55卷 105-113页

作者： Yuan, Jian-Jun Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China

Since wireless sensor networks (WSN) are often deployed in an unattended environment and sensor nodes are equipped with limited computing power modules, user authentication is a critical issue when a user wants to access data from sensor nodes. Recently, M.L. Das proposed a two-factor user authentication scheme in WSN and claimed that his scheme is secure against different kinds of attack. Later, Khan and Alghathbar (K-A) pointed out that Das’ scheme has some security pitfalls and showed several improvements to overcome these weaknesses. However, we demonstrate that in the K-A-scheme, there is no provision of non-repudiation, it is susceptible to the attack due to a lost smart card, and mutual authentication between the user and the GW-node does not attained. Moreover, the GW-node cannot prove that the first message comes from the user. To overcome these security weaknesses of the K-A-scheme, we propose security patches and prove our scheme.

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FLAP: An efficient WLAN initial access authentication protocol

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IEEE Transactions on Parallel and Distributed systems 2014年第2期25卷 488-497页

作者： Li, Xinghua Bao, Fenye Li, Shuxin Ma, Jianfeng State Key Laboratory of Integrated Service Networks Key Laboratory of Computer Network and System Security of Shaanxi Province Xidian University 2 South Taibai Road Xi'an Shaanxi 710071 China Shandong Provincial Key Laboratory of Computer Network Jinan 250014 China Department of Computer Science Virginia Polytechnic Institute and State University 7054 Haycock Road Falls Church VA 22043 United States

Nowadays, with the rapid increase of WLAN-enabled mobile devices and the more widespread use of WLAN, it is increasingly important to have a more efficient initial link setup mechanism, and there is a demand for a faster access authentication method faster than the current IEEE 802.11i. In this paper, through experiments we observe that the authentication delay of 802.11i is intolerable under some scenarios, and we point that the main reason resulting in such inefficiency is due to its design from the framework perspective which introduces too many messages. To overcome this drawback, we propose an efficient initial access authentication protocol, FLAP, which realizes the authentications and key distribution through two roundtrip messages. We formally prove that our scheme is more secure than the four-way handshake protocol. Our practical measurement result indicates that FLAP can improve the efficiency of EAP-TLS by 94.7 percent. Extensive simulations are conducted in different scenarios, and the results demonstrate that when a WLAN gets crowded the advantage of FLAP becomes more salient. Furthermore, a simple and practical method is presented to make FLAP compatible with 802.11i. © 1990-2012 IEEE.

关键词： Authentication

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Low-Rank Subspace Representation from Optimal Coded-Aperture for Unsupervised Classification of Hypersepctral Imagery

Low-Rank Subspace Representation from Optimal Coded-Aperture...

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IEEE International Conference on Image Processing

作者： Jianchen Zhu Tong Zhang Shengjie Zhao Key Laboratory of Embedded System and Service Computing Ministry of Education

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

This paper aims at developing a clustering approach with spectral images directly from the compressive measurements of coded aperture snapshot spectral imager (CASSI). Assuming that compressed measurements often lie approximately in low dimensional subspaces corresponding to multiple classes, state of the art methods generally obtains optimal solution for each step separately but cannot guarantee that it will achieve the globally optimal clustering results. In this paper, a low-rank subspace representation (LRSR) algorithm is proposed to perform clustering on the compressed measurements. In addition, a subspace structured norm is added into the objective of low-rank representation problem exploiting the fact that each point in a union of subspaces can be expressed as a sparse linear combination of all other points and that the matrix of the points within each subspace is low rank. Simulation with real dataset illustrates the accuracy of the proposed spectral image clustering approach.

关键词： Image coding Encoding Apertures Clustering algorithms Imaging Three-dimensional displays Sensors

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Real-Time Communication Method for mHealth Base on Extended XMPP Protocol

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Communications and Network 2013年第3期5卷 590-595页

作者： Chenjie Shi Yu Fang The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

Considering characteristic of mHealth communication and problems of existing methods, this paper presents a real-time communication method for mHealth based on extended XMPP protocol. The method can maintain the role status efficiently and reduce data latency during the communication process. Meanwhile, it can be extended flexibly to meet increasing communication demands of mHealth services. Furthermore, a system framework is presented to support telemonitoring scene. Finally, system implementation and feasibility tests verify the effectiveness of the method and framework.

关键词： mHealth XMPP Protocol Real-Time Communication

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Single camera 3D lane detection and tracking based on EKF for urban intelligent vehicle

Single camera 3D lane detection and tracking based on EKF fo...

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IEEE International Conference on Vehicular Electronics and Safety, ICVES 2006

作者： Min, Tian Fuqiang, Liu Zhencheng, Hu IEEE Key Laboratory of Embedded System and Service Computing Ministry of Education China Electronic and Information Engineering Department Tongji University Shanghai 201804 China Department of Computer Science Kumamoto University Kumamoto 860-8555 Japan

ISBN: (纸本)1424407591

Road boundary detection and tracking is an important and integral function in advanced driver-assistance system. This paper proposes an algorithm, which can follow multi-kinds of lane, straight and curved, quickly and robustly. The algorithm uses several masks to extract blobs of road markings, combining with KNN function to remove the disturbance. Further more, road is modeled as a 3D surface, and some important parameters of current lane are provided on real-time by tracking based on Extended Kalman Filter (EKF). The results of experiments, which have been done in urban road, show that the algorithm is adapted to many road conditions. Even in a complex driving environment, it also has a good performance. © 2006 IEEE.

关键词： Extended Kalman filters

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Path Restoring Algorithm based on Vehicle Trajectory Mining

Path Restoring Algorithm based on Vehicle Trajectory Mining

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2016 IEEE International Conference on Big Data Analysis

作者： Yuanhui Sun Yaying Zhang Key Laboratory of Embedded System and Service Computing Tongji University

Path restoring is a path searching problem in the time-dependent road network with the time constraints of origin and destination. This paper proposes a path restoring algorithm to find the possible path that vehicles may have been driving along. We mined the vehicle trajectories based on historical GPS data and then build a "popular" intersection graph based on its entropy and frequency. Then the restoring path is searched on the sub-graph of the popular intersection graph. The experiment result shows that the proposed algorithm increases 10% compared to that of using timedependent fastest path method.

关键词： time-dependent fastest path frequent path footmark graph

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Prescribed Performance Path-Following Control for Rotor-Assisted Vehicles via an Improved Reinforcement Learning Mechanism

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IEEE Transactions on Neural Networks and Learning systems 2025年 PP卷 PP页

作者： Zhang, Guoqing Li, Zhihao Li, Jiqiang Zhang, Weidong Qiu, Bin Navigation College Liaoning Dalian116026 China State Key Laboratory of Maritime Technology and Safety Liaoning Dalian116026 China Hainan University School of Information and Communication Engineering Hainan Haikou570228 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China Guilin University of Technology School of Computer Science and Engineering Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin541004 China

This article investigates an adaptive prescribed performance path-following control algorithm for rotor-assisted vehicles, incorporating reinforcement learning (RL) to execute energy-saving cruising missions. For obtaining a high-performance path-following controller, a concise prescribed performance control (PPC) algorithm is designed to tightly constrain the output errors within the defined boundaries, while a shifting function is introduced to solve the problem of initial condition restrictions. Furthermore, through integrating the Backstepping method and the optimal control technique, an improved RL with the form of actor–critic neural networks (AC-NNs) is proposed to offer an innovative approach to the challenges of the model uncertainties and external disturbances. In this approach, the actor NN is employed to create an appropriate control policy, while the critic NN is aimed at evaluating the cost-to-go function to modify the system action. Semi-global uniform ultimate bounded (SGUUB) stable properties of the proposed algorithm are guaranteed via the Lyapunov theory. Finally, the superiority and feasibility of the proposed algorithm are verified by two numerical experiments. © 2012 IEEE.

关键词： Cost functions

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