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An adaptive multimedia transmission protocol for distributed multimedia applications 23

An adaptive multimedia transmission protocol for distributed...

引用

23rd International Conference on Distributed Computing systems Workshops, ICDCSW 2003

作者： Chen, Shu-Ching Shyu, Mei-Ling Gray, I. Lu, Hongli Distributed Multimedia Information System Laboratory School of Computer Science Florida International University MiamiFL33199 United States Department of Electrical and Computer Engineering University of Miami Coral GablesFL33124 United States

ISBN: (纸本)0769519210

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. © 2002 IEEE.

关键词： Real time systems

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Image database retrieval utilizing affinity relationships

Image database retrieval utilizing affinity relationships

引用

MMDB 2003: Proceedings of the First ACM International Workshop on Multimedia Databases

作者： Shyu, Mei-Ling Chen, Shu-Ching Chen, Min Zhang, Chengcui Sarinnapakorn, Kanoksri Department of Electrical and Computer Engineering University of Miami Coral Gables FL 33124 United States Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL 33199 United States

ISBN: (纸本)1581137265

Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and high-level semantic contents of images as this gap has become the bottleneck of CBIR. In this paper, an effective image database retrieval framework using a new mechanism called the Markov Model Mediator (MMM) is presented to meet this demand by taking into consideration not only the low-level image features, but also the high-level concepts learned from the history of user's access pattern and access frequencies on the images in the database. Also, the proposed framework is efficient in two aspects: 1) Overhead for real-time training is avoided in the image retrieval process because the high-level concepts of images are captured in the off-line training process. 2) Before the exact similarity matching process, Principal Component Analysis (PCA) is applied to reduce the image search space. A training subsystem for this framework is implemented and integrated into our system. The experimental results demonstrate that the MMM mechanism can effectively assist in retrieving more accurate results from image databases. Copyright 2003 ACM.

关键词： Content based retrieval

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An open multiple instance learning framework and its application in drug activity prediction problems 3

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

引用

3rd IEEE Symposium on BioInformatics and Bioengineering, BIBE 2003

作者： Huang, Xin Chen, Shu-Ching Shyu, Mei-Ling Distributed Multimedia Information System Laboratory School of Computer Science Florida International University MiamiFL33199 United States Department of Electrical and Computer Engineering University of Miami Coral GablesFL33124 United States

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-1 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. © 2003 IEEE.

关键词： Bioinformatics

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

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

引用

2003 International Conference on Multimedia and Expo, ICME 2003

作者： Hunag, Xin Chen, Shu-Ching Shyu, Mei-Ling Distributed Multimedia Information System Laboratory School of Computer Science Florida Lntemational University MiamiFL33 199 United States Department of Electrical and Computer Engineering University of Miami Coral GablesFL33124 United States

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. © 2003 IEEE.

关键词： Search engines

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A fuzzy approach for overcurrent relays simulation

A fuzzy approach for overcurrent relays simulation

引用

International Conference on Computational Science, ICCS 2003

作者： Askarian Abyaneh, Hossein Kazemi Karegar, Hossein Al-Dabbagh, Majid Department of Electrical Engineering Amir Kabir University of Technology Hafez Ave No 424P.O. Box 15875-4413 Tehran Iran School of Electrical Engineering and Computer System of RMIT University MelbourneVIC3001 Australia

ISBN: (纸本)9783540401964

Accurate models for Overcurrent relays (OC) with inverse time characteristics have an important role for efficient coordination of power system protection devices. This paper proposes a new method for modelling of OC relays based on fuzzy logic. The new model is more accurate than traditional models and has been validated by comparing it with the linear and nonlinear analytical models. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Fuzzy logic

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Adaptive background learning for vehicle detection and spatio temporal tracking 4

Adaptive background learning for vehicle detection and spati...

引用

Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia, ICICS-PCM 2003

作者： Zhang, Chengcui Chen, Shu-Ching Shyu, Mei-Ling Peeta, Srinivas Distributed Multimedia Information System Laboratory School of Computer Science Florida International University MiamiFL33199 United States Department of Electrical and Computer Engineering University of Miami Coral GablesFL33124 United States School of Civil Engineering Purdue University West LafayetteIN47907 United States

ISBN: (纸本)0780381858

Traffic video analysis can provide a wide range of useful information such as vehicle identification, traffic flow, to traffic planners. In this paper, a framework is proposed to analyze the traffic video sequence using unsupervised vehicle detection and spatio-temporal tracking that includes an image/video segmentation method, a background learning/subtraction method and an object tracking algorithm. A real-life traffic video sequence from a road intersection is used in our study and the experimental results show that our proposed unsupervised framework is effective in vehicle tracking for complex traffic situations. © 2003 IEEE.

关键词： Tracking (position)

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Mining high-level user concepts with multiple instance learning and relevance feedback for content-based image retrieval

Mining high-level user concepts with multiple instance learn...

引用

International Workshop on Mining Complex Data: Multimedia Data Mining, MDM/KDD at KDD 2002 and International Workshop on Knowledge Discovery from Multimedia and Complex Data, KDMCD at PAKDD 2002

作者： Huang, Xin Chen, Shu-Ching Shyu, Mei-Ling Zhang, Chengcui Distributed Multimedia Information System Laboratory School of Computer Science Florida International University MiamiFL33199 United States Department of Electrical and Computer Engineering University of Miami Coral GablesFL33124 United States

ISBN: (纸本)3540203052

Understanding and learning the subjective aspect of humans in Content-Based Image Retrieval has been an active research field during the past few years. However, how to effectively discover users’ concept patterns when there are multiple visual features existing in the retrieval system still remains a big issue. In this book chapter, we propose a multimedia data mining framework that incorporates Multiple Instance Learning into the user relevance feedback in a seamless way to discover the concept patterns of users, 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 users. This underlying mapping can be progressively discovered through the feedback and learning procedure. The role the user plays in the retrieval system is to guide the system mining process to his/her own focus of attention. The retrieval performance is tested to show the feasibility and effectiveness of the proposed multimedia data mining framework. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Content based retrieval

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MMM: A stochastic mechanism for image database queries 5

MMM: A stochastic mechanism for image database queries

引用

5th IEEE International Symposium on Multimedia Software engineering, ISMSE 2003

作者： Shyu, M.-L. Chen, S.-C. Chen, M. Zhang, C. Shu, Chi-Min Department of Electrical and Computer Engineering University of Miami Coral GablesFL33124 United States Distributed Multimedia Information System Laboratory School of Computer Science Florida International University MiamiFL33199 United States Department of Environmental and Safety Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)0769520316

We present a mechanism called the Markov model mediator (MMM) to facilitate the effective retrieval for content-based image retrieval (CBIR). Different from the common methods in content-based image retrieval, our stochastic mechanism not only takes into consideration the low-level image content features, but also learns high-level concepts from a set of training data, such as access frequencies and access patterns of the images. The advantage of our proposed mechanism is that it exploits the structured description of visual contents as well as the relative affinity measurements among the images. Consequently, it provides the capability to bridge the gap between the low-level features and high-level concepts. Our experimental results demonstrate that the MMM mechanism can effectively assist in retrieving more accurate results for user queries. © 2003 IEEE.

关键词： Stochastic systems

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The study of an interaction of solid particles with various surfaces using TSM sensors

The study of an interaction of solid particles with various ...

引用

IEEE International Frequency Control Symposium

作者： Qiliang Zhang R. Lec K. Pourrezaei Department of Electrical and Computer Engineering Drexel University Philadelphia PA USA Department of Electrical and Computer Engineering School of Biomedical Engineering Science and Health System Drexel University Philadelphia PA USA

The interaction of solid particles with various surfaces has been experiencing growing interest in the area of nanotechnology, colloidal science and biology. In this paper interactions of solid particles with various surfaces using piezoelectric thickness shear mode (TSM) sensors have been studied. A mechanical model has been presented to evaluate the effect of particle loading on the behavior of a TSM sensor. The main sources contributing to the interaction, such as Van der Waals force, gravitational force and electrostatic force, are discussed. Experimental results have shown that the resonant frequency of a TSM sensor depends on the coupling conditions of micro- or nano- particles loaded on the surfaces of a TSM sensor, which is predicted by the theoretical model. The results show that this TSM sensor technique can provide the information of the coupling, such as the binding energy between the particles and the sensor surfaces, and may promote the applications of TSM sensors in characterizing the properties of the loaded particles.

关键词： Solids Mechanical sensors Sensor phenomena and characterization Biosensors Force sensors Nanotechnology Biology Biological system modeling Gravity Electrostatics

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On-line voltage security assessment of the Hellenic interconnected system

On-line voltage security assessment of the Hellenic intercon...

引用

Power Tech Conference

作者： C.D. Vournas G.A. Manos J. Kabouris G. Christoforidis G. Hasse T. Van Cutsem School of Electrical and Computer Engineering National and Technical University of Athens Greece Hellenic Transmission System Operator Athens Greece Department of Electrical Engineering and Computer Science University of Liege Liege Belgium

This paper describes the on-line voltage security assessment environment developed within the framework of the EU-sponsored OMASES project, as well as its application to the Greek Interconnected Power system. The heart of all computations is a fast time-domain method. Security is analyzed with respect to power transfers in critical corridors or power consumption in load areas. Results take on the form of either pre-contingency secure operation limits, or post-contingency load-ability limits, together with various diagnosis tips. Typical results obtained during the test phase of the project are reported.

关键词： Interconnected systems Steady-state Power system security Power system interconnection Power system analysis computing Heart Time domain analysis Stability Voltage control National security

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