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Research on Seismic Signals for Vehicle Targets and Recognition by Data Fusion

Research on Seismic Signals for Vehicle Targets and Recognit...

引用

International Conference on Control and Automation (ICCA)

作者： Jinhui Lan S. Nahavandi Jingxin Zhang Hong Zheng Tian Lan School of Engineering and Technology Deakin University VIC Australia Department of Precision Instruments Tsinghua University Beijing China Department of Electrical and Computer System Engineering Monash University VA USA Department of Electrical and Computer Engineering OGI School of Science and Engineering Oregon Health and Sciences University OR USA

This paper researches seismic signals of typical vehicle targets in order to extract features and to recognize vehicle targets. As a data fusion method, the technique of artificial neural networks combined with genetic algorithm(ANNCGA) is applied for recognition of seismic signals that belong to different kinds of vehicle targets. The technique of ANNCGA and its architecture have been presented. The algorithm had been used for classification and recognition of seismic signals of vehicle targets in the outdoor environment. Through experiments, it can be proven that seismic properties of target acquired are correct, ANNCGA data fusion method is effective to solve the problem of target recognition.

关键词： Vehicles Target recognition Data mining Feature extraction Artificial neural networks Genetics

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Large deviations and deterministic measures of information

Large deviations and deterministic measures of information

引用

2003 European Control Conference, ECC 2003

作者： Charalambous, Charalambos D. Djouadi, Seddik M. School of Information Technology and Engineering University of Ottawa OttawaONK1N 6N5 Canada System Engineering Department University of Arkansas at Little Rock Little RockAR72204 United States Department of Electrical and Computer Engineering McGill University MontréalPQH3A 2A7 Canada

ISBN: (纸本)9783952417379

In recent years, Large Deviations theory has found important applications in many areas of engineering and science including communication and control systems. The objective of this note is to introduce and explore connections between certain fundamental concepts of Large Deviations theory and Information Theory, by introducing deterministic measures of information. The connections are established through the so-called rate functional associated with the Large Deviations principle, which lead to a natural definition of (max, plus) deterministic measure of information. © 2003 EUCA.

关键词： Information theory

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Experimentally generating faults in rolling element bearings via shaft current

Experimentally generating faults in rolling element bearings...

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IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)

作者： J.R. Stack T.G. Habetler R.G. Harley Coastal System Station United States Navy Panama FL USA School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA

The purpose of this research is to develop a method for experimentally generating in situ bearing faults. To motivate this topic, experimental results are provided that illustrate how the act of removing and replacing test bearings drastically alters the machine vibration and stator current spectral characteristics. Based on this observation, a method is developed that employs an externally applied shaft current to initiate and progress a bearing fault in an accelerated timeframe. This experimental method begins with a new, undamaged bearing and progresses it throughout its entire lifecycle in situ. The test machine is a standard induction motor that can be interfaced with any load and operate at any arbitrary speed or load level throughout the bearing failure process. Additionally, data generated by this experimental method can then be used to evaluate the performance of any bearing condition monitoring scheme.

关键词： Rolling bearings Shafts Testing Vibrations Condition monitoring Stators Dielectric thin films Lubricants Sea measurements Cities and towns

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Bearing fault detection via autoregressive stator current modeling

Bearing fault detection via autoregressive stator current mo...

引用

Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： J.R. Stack T.G. Habetler R.G. Harley Coastal System Station United States Navy Panama FL USA School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA

This research proposes a method for detecting developing bearing faults via stator current. Current-based condition monitoring offers significant economic savings and implementation advantages over vibration-based techniques. This method begins by filtering the stator current to remove most of the significant frequency content unrelated to bearing faults. Afterwards, the filtered stator current is used to train an autoregressive signal model. This model is first trained while the bearings are healthy, and a baseline spectrum is computed. As bearing health degrades, the modeled spectrum deviates from its baseline value; the mean spectral deviation is then used as the fault index. This fault index is able to track changes in machine vibration due to developing bearing faults. Due to the initial filtering process, this method is robust to many influences including variations in supply voltage, cyclical load torque variations, and other (nonbearing) fault sources. Experimental results from 10 different bearings are used to verify the proficiency of this method.

关键词： Fault detection Stators Circuit faults Condition monitoring Frequency Electric machines electrical fault detection Vibrations Voltage Power harmonic filters

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Per-class queue management and adaptive packet drop mechanism for multimedia networking

Per-class queue management and adaptive packet drop mechanis...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Mei-Ling Shyu Shu-Ching Chen Hongli Luo Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables Coral Gables FL USA

ISBN: (纸本)0780379659

In this paper, we propose a per-class queue management and adaptive packet drop mechanism in the routers for Internet congestion control. We model active queue management as an optimization problem and our proposed mechanism provides congestion control and fairness for different types of traffic flows. An optimal packet drop rate is obtained to maintain a relatively small queue occupancy, which provides a less queue delay delivery of packets. Simulations are conducted to compare our approach with the fixed packet drop rate approach. Moreover, the queue occupancy and the packet drop rates obtained are both upper bounded, which is meaningful for providing the class-based guaranteed delay services for real-time multimedia applications.

关键词： Delay Quality of service computer network management Multimedia systems IP networks Traffic control Telecommunication traffic Protection Jitter Streaming media

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An open multiple instance learning framework and its application in drug activity prediction problems

An open multiple instance learning framework and its applica...

引用

IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Xin Huang Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0769519075

In this paper, a powerful open Multiple Instance Learning (MIL) framework is proposed. Such an open framework is powerful since different sub-methods can be plugged into the framework to generate different specific Multiple Instance Learning algorithms. In our proposed framework, the Multiple Instance Learning problem is first converted to an unconstrained optimization problem by the Minimum Square Error (MSE) criterion, and then the framework can be constructed with an open form of hypothesis and gradient search method. The proposed Multiple Instance Learning framework is applied to the drug activity problems in bioinformatics applications. Specifically, experiments are conducted on the Musk-I dataset to predict the binding activity of drug molecules. In the experiments, an algorithm with the exponential hypothesis model and the Quasi-Newton method is embedded into our proposed framework. We compare our proposed framework with other existing algorithms and the experimental results show that our proposed framework yields a good accuracy of classification, which demonstrates the feasibility and effectiveness of our framework.

关键词： Drugs Machine learning Bioinformatics Supervised learning Application software Multimedia systems Information systems Laboratories computer science Power engineering computing

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Component-based design and integration of a distributed multimedia management system

Component-based design and integration of a distributed mult...

引用

IEEE International Conference on Information Reuse and Integration (IRI)

作者： Shu-Ching Chen Mei-Ling Shyu Na Zhao Chengcui Zhang Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical & Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0780382420

In order to fulfill the functional requirements of multimedia management systems while achieving the efficiency and reliability at the same time, we adopt the component-based design to develop a complicated distributed multimedia management system called DMMManager in this paper. DMMManager integrates a set of core components for managing multimedia data, such as content-based retrieval for image and video data, and multimedia presentation design and rendering. Component-based design makes the reuse and share of the components easy and reliable, and thus avoids the waste of both time and man power in the development cycle. Moreover, new applications can be easily integrated into this system as a new development and utilize the existing components. Besides component reuse, the system is also designed to facilitate information reuse. For example, the output of the image/video retrieval component can be taken as the input for the multimedia presentation component. In addition, the use of subnetworks in our multimedia presentation design also enables the modularized reuse of the existing presentation models that are previously created.

关键词： Multimedia systems Multimedia databases Information retrieval engineering management Content based retrieval Power system management Image retrieval Rendering (computer graphics) Research and development management Management information systems

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Incorporating real-valued multiple instance learning into relevance feedback for image retrieval

Incorporating real-valued multiple instance learning into re...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xin Hunag Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0780379659

This paper presents a content-based image retrieval (CBIR) system that incorporates real-valued multiple instance learning (MIL) into the user relevance feedback (RF) to learn the user's subjective visual concepts, especially where the user's most interested region and how to map the local feature vector of that region to the high-level concept pattern of the user. RF provides a way to obtain the subjectivity of the user's high-level visual concepts, and MIL enables the automatic learning of the user's high-level concepts. The user interacts with the CBIR system by relevance feedback in a way that the extent to which the image samples retrieved by the system are relevant to the user's intention is labeled. The system in turn applies the MIL method to find user's most interested image region from the feedback. A multilayer neural network that is trained progressively through the feedback and learning procedure is used to map the low-level image features to the high-level concepts.

关键词： Feedback Image retrieval Radio frequency Neurofeedback Information retrieval Content based retrieval Multi-layer neural network Rivers Multimedia systems Information systems

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Ensuring fairness in multimedia multicast streaming with optimal rate allocation and client buffer utilization

Ensuring fairness in multimedia multicast streaming with opt...

引用

IEEE International Conference on Multimedia and Expo (ICME)

ISBN: (纸本)0780379659

In this paper, we propose a rate control mechanism for multimedia multicast streaming in the Internet. A single and optimal transmission rate that is adaptive to the network congestion, buffer occupancies, and the playback requirements of the member clients in the multicast group is allocated. We optimize the multicasting delivery in the Internet by improving the buffer occupancy of all clients for on-time presentation while using the minimal transmission rate. Scalable playback is used for the clients with low bandwidth capabilities in a heterogeneous environment. Simulation results show that the buffer capacity can be efficiently improved and fairness is ensured among the member clients.

关键词： Streaming media Bandwidth Internet Multicast protocols Web server Multimedia systems Information systems Laboratories computer science Adaptive systems

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An adaptive multimedia transmission protocol for distributed multimedia applications

An adaptive multimedia transmission protocol for distributed...

引用

International Conference on Distributed Computing systems Workshop

作者： Shu-Ching Chen Mei-Ling Shyu I. Gray Hongli Lu Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

In this paper, an end-to-end real-time adaptive protocol for multimedia transmission is presented. The transmission rate is determined by the quadratic probing algorithm that can obtain the maximal utilization of the client buffer and minimal allocation of the network bandwidth. It is also coupled with a congestion control mechanism that can effectively decrease the packet loss rate during network congestion. We investigate the performance of our quadratic probing algorithm in different congestion levels under both Local Area Net (LAN) and Internet environment. Performance analysis reveals that our approach is more robust in avoiding overflow and underflow in different network congestion levels, and adapting to the changing network delays. Comparisons are made with the fixed rate approach and the rate by playback requirement approach. Experimental results show that the proposed real time protocol with rate adjusting quadratic probing algorithm is efficient in utilizing the network resources and decreasing the packet loss ratios.

关键词： Protocols Bandwidth Quality of service Multimedia systems Local area networks Streaming media Videoconference Adaptive control Application software Real time systems

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