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3rd International Conference on Next Generation Mobile Applications, Services, and Technologies

作者： Debono, Carl J. De Raffaele, Clifford Univ Malta Dept Commun & Comp Engn Msida Malta

ISBN: (纸本)9780769537863

The increase in processing power of mobile multimedia terminals, the improvements in camera technology and efficient video compression algorithms have made the implementation of mobile Free-Viewpoint Video (FVV) technology possible. However, the use of this technology in wireless environments poses a number of challenges. Amongst these there are issues in bandwidth utilisation and the limited supply power of the mobile device. To this effect, this paper compares the implementation of two prediction algorithms to forecast the next viewpoint in an attempt to minimise the amount of viewpoint requests uploaded to the server. Simulation results demonstrate that a reduction of up to 72% in uplink transmission traffic is achieved when emulating a conventional usage scenario. This means that the application of prediction schemes can drastically reduce the power consumption and resource requirements of mobile multimedia terminals.

关键词： Free-viewpoint Kalman filter least-mean-square algorithm wireless transmission

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A wireless internet interface for person with physical disability

A wireless internet interface for person with physical disab...

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2008 IET 4th International Conference on Intelligent Environments

作者： Cheng-San Yang Cheng-Huei Yang Li-Yeh Chuang Cheng-Hong Yang Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan Department of Electronic Communication Engineering National Kaohsiung Marine University Kaohsiung Taiwan Department of Physical Medicine and Rehabilitation Chiayi Christian Hospital Chiayi Taiwan Department of Chemical Engineering I-Shou University Kaohsiung Taiwan

Technologically assistive devices are increasingly playing more important roles in the lives of persons with disabilities, with one of the more promising considerations being a combination of the functions of computer software and hardware. However, using a conventional keyboard for Internet access is prohibitive for persons whose hand coordination and dexterity are impaired by ailments such as amyotrophic lateral sclerosis, multiple sclerosis, muscular dystrophy, and other severe handicaps. To assist participants with physical disabilities in sharing the resources of the Internet, we designed and implemented an easy-to-operate wireless input interface using Morse code as the adaptive communication tool. Moreover, a adaptive Morse code recognition process is introduced. After two months' practice on this system, three participants with physical disabilities could conveniently gain access to the Internet.

关键词： Morse code Adaptive signal processing WWW Internet least-mean-square algorithm least mean square algorithm Internets Physically Handicapped Morse code adaptive signal processing World Wide Web Persons Public internet access

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Fuzzy support vector machines for adaptive Morse code recognition

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MEDICAL ENGINEERING & PHYSICS 2006年第9期28卷 925-931页

作者： Yang, Cheng-Hong Jin, Li-Cheng Chuang, Li-Yeh Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan I Shou Univ Dept Chem Engn Kaohsiung 807 Taiwan

Morse code is now being harnessed for use in rehabilitation applications of augmentative-alternative communication and assistive technology, facilitating mobility, environmental control and adapted worksite access. In this paper, Morse code is selected as a communication adaptive device for persons who suffer from muscle atrophy, cerebral palsy or other severe handicaps. A stable typing rate is strictly required for Morse code to be effective as a communication tool. Therefore, an adaptive automatic recognition method with a high recognition rate is needed. The proposed system uses both fuzzy support vector machines and the variable-degree variable-step-size least-mean-square algorithm to achieve these objectives. We apply fuzzy memberships to each point, and provide different contributions to the decision learning function for support vector machines. Statistical analyses demonstrated that the proposed method elicited a higher recognition rate than other algorithms in the literature. (c) 2006 IPEM. Published by Elsevier Ltd. All rights reserved.

关键词： Morse code least-mean-square algorithm support vector machines fuzzy theory

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Adaptive electronic dispersion compensator for chromatic and polarization-mode dispersions in optical communication systems

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EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING 2005年第10期2005卷 1584-1592页

作者： Koc, UV Bell Labs Lucent Technol Murray Hill NJ 07974 USA

The widely-used LMS algorithm for coefficient updates in adaptive (feedforward/decision-feedback) equalizers is found to be suboptimal for ASE-dominant systems but various coefficient-dithering approaches suffer from slow adaptation rate without guarantee of convergence. In view of the non-Gaussian nature of optical noise after the square-law optoelectronic conversion, we propose to apply the higher-order least-mean 2Nth-order (LMN) algorithms resulting in OSNR penalty which is 1.5-2 dB less than that of LMS. Furthermore, combined with adjustable slicer threshold control, the proposed equalizer structures are demonstrated through extensive Monte Carlo simulations to achieve better performance.

关键词： electronic PMD compensation adaptive equalization signal processing optical communication least-mean fourth-order algorithm least-mean-square algorithm

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A NOVEL APPROACH TO MANDARIN MORSE CODE RECOGNITION

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BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS 2005年第5期17卷 267-274页

作者： Yang, Cheng-Hong Chuang, Li-Yeh Chen, Shih-Chung Liang, Chih-Kuo Wu, Chung-Min Luo, Ching-Hsing Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan I Shou Univ Dept Chem Engn Kaohsiung Taiwan Southern Taiwan Univ Technol Dept Elect Engn Tainan Taiwan Kun Shan Univ Technol Dept Elect Engn Tainan Taiwan Natl Cheng Kung Univ Dept Elect Engn Tainan Taiwan

Morse code, with its single switch operation, has been shown to be a valuable tool in assistive technology, augmentative and alternative communication, and rehabilitation for people with various neuromuscular diseases, such as amyotrophic lateral sclerosis, multiple sclerosis, and muscular dystrophy. A major hindrance is a stable typing rate, which is strictly required for the recognition of Morse code characters, especially for persons with severe disabilities. In this paper, a combination of two methods, support vector machines and the variable degree variable step least-mean-square algorithm was used to increase the prediction accuracy for Mandarin Morse code recognition. Experimental findings revealed that the proposed method results in a better recognition rate when compared to alternative methods from the literature.

关键词： Mandarin Morse code Adaptive signal processing least-mean-square algorithm Support vector machines Friedman test Multiple comparison test

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Counter-propagation network with variable degree variable step size LMS for single switch typing recognition

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BIO-MEDICAL MATERIALS AND ENGINEERING 2004年第1期14卷 23-32页

作者： Yang, CH Luo, CH Yang, CH Chuang, LY Natl Kaohsiung Inst Marine Technol Dept Elect Commun Engn Kaohsiung Taiwan Natl Cheng Kung Univ Dept Elect Engn Tainan 70101 Taiwan Ishou Univ Dept Chem Engn Kaohsiung Taiwan Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan

Morse code is now being harnessed for use in rehabilitation applications of augmentative-alternative communication and assistive technology, including mobility, environmental control and adapted worksite access. In this paper, Morse code is selected as a communication adaptive device for disabled persons who suffer from muscle atrophy, cerebral palsy or other severe handicaps. A stable typing rate is strictly required for Morse code to be effective as a communication tool. This restriction is a major hindrance. Therefore, a switch adaptive automatic recognition method with a high recognition rate is needed. The proposed system combines counter-propagation networks with a variable degree variable step size LMS algorithm. It is divided into five stages: space recognition, tone recognition, learning process, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison to alternative methods in the literature.

关键词： Morse code adaptive signal processing counter-propagation network least-mean-square algorithm

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Communication aid system for users with physical impairments

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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2002年第6-7期43卷 901-910页

作者： Yang, CH Chung, PC Chuang, LY Yang, CH Natl Kaohsiung Inst Marine Technol Dept Telecommun & Comp Engn Kaohsiung Taiwan Natl Cheng Kung Univ Dept Elect Engn Tainan 70101 Taiwan I Shou Univ Dept Chem Engn Kaohsiung Taiwan Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung Taiwan

For some physically-disabled persons, the conventional computer keyboard may be inappropriate as a usable communication device. They instead require an assistive tool for entering text into a computer or for word-processing for purposes of augmentative and alternative communication in their daily lives. In this study, Morse code is selected as one possible adapted access communication method for persons with impaired hand coordination and limited dexterity. Inherently, a stable switch activation rate is strictly required for the most accurate recognition of Morse code. However, because maintaining a stable switch activation rate is a challenge for many persons who are physically disabled, automatic recognition of Morse code with standardized computer programs is difficult. Therefore, a suitable adaptive automatic recognition method is needed. This study presents a least-mean-square algorithm applied to adaptive Morse code recognition. Four processes axe involved in this adaptive Morse code recognition method: space recognition, tone recognition, adaptive processing, and character recognition. Statistical analyses demonstrated that the recognition rate of the proposed method resulted in an 83% improvement over alternative methods described in previous literature. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： Morse code adaptive signal processing least-mean-square algorithm Friedman test multiple comparison test adapted computer access assistive technology

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Single switch Chinese phonetic communication system

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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2002年第1期18卷 115-124页

作者： Yang, CH Yang, CH Chuang, LY Luo, CH Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan Natl Kaohsiung Inst Marine Technol Dept Telecommun & Comp Engn Kaohsiung 811 Taiwan I Shou Univ Dept Chem Engn Kaohsiung 840 Taiwan Natl Cheng Kung Univ Dept Elect Engn Tainan 701 Taiwan

Morse code, with its single switch operation, has been shown to be an excellent adaptive communication device for the disabled, especially those with impaired hand coordination and dexterity. Because a stable typing rate is required for an accurate recognition of Morse code, it presents a major hindrance to disabled persons in applying Morse code as a useful communication tool. Therefore, a suitable adaptive recognition method is needed. This paper applies the least-mean-square algorithm to an adaptive Chinese phonetic Morse code recognition system which includes four processes: space recognition, tone recognition, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method results in a better recognition rate compared to alternative methods in the literature.

关键词： Morse code adaptive signal processing least-mean-square algorithm Friedman test multiple comparison test

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Morse code recognition using learning vector quantization for persons with physical disabilities

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2001年第1期E84A卷 356-362页

作者： Yang, CH Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan

For physically disabled persons, the conventional computer keyboard is insufficient as a useable communication device. In this paper, Morse code is selected as a communication adaptive device for persons with impaired hand coordination and dexterity. Morse code is composed of a series of dots, dashes, and space intervals. Each element is transmitted by sending a signal for a defined length of time. Maintaining a stable typing rate by the disabled is difficult. To solve this problem, a suitable adaptive automatic recognition method, which combines a variable degree variable step size LMS algorithm with a learning vector quantization method, was applied to this problem in the present study. The method presented here is divided into five stages: space recognition, tone recognition, learning process, adaptive processing, and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison to alternative methods in the literature.

关键词： Morse code adaptive signal processing least-mean-square algorithm learning vector quantization

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The application of the neural network on Morse code recognition for users with physical impairments

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE 2001年第H3期215卷 325-331页

作者： Yang, CH Yang, CH Chuang, LY Truong, TK Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung 807 Taiwan Natl Cheng Kung Univ Dept Elect Engn Tainan 70101 Taiwan I Shou Univ Dept Gen Courses Kaohsiung Taiwan I Shou Univ Dept Informat Engn Kaohsiung Taiwan

Morse code is a simple, speedy and low cost means of communication composed of a series of dots, dashes and space intervals. Each tone element (either a dot, dash or space interval) is transmitted by sending a signal for a defined length of time. This poses a challenge as the automatic recognition of Morse code is dependent upon maintaining a stable typing rate. In this paper, a suitable adaptive automatic recognition method, combining the least-mean-square (LMS) algorithm with a neural network, was applied to this problem. The method presented in this paper is divided into five modules: space recognition, tone recognition, learning process, adaptive processing and character recognition. Statistical analyses demonstrated that the proposed method elicited a better recognition rate in comparison with other methods in the literature.

关键词： Morse code adaptive signal processing least-mean-square algorithm neural network

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