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Enriching Descriptions for Public Web Services using Information Captured from Related Web Pages on the Internet

Enriching Descriptions for Public Web Services using Informa...

The Fifth IEEE International Symposium on Service-Oriented System engineering(第五届IEEE面向服务的系统工程国际研讨会 SOSE 2010)

作者： Fei Liu Liangjie Zhang Ge Li Lijie Wang Bing Xie Software Institute School of Electronic Engineering and Computer SciencePeking University Beijing Software Institute School of Electronic Engineering and Computer Science Peking University Beijin

With the popularization of Service-Oriented Computing (SOC) and web services technology, more and more developers have become accustomed to searching and utilizing the public web services on the Internet. In order to identify, understand, and utilize needed web services efficiently, service consumers need useful descriptions of the web services. However, existing methods for services discovery could not provide enough descriptions for web services, because they usually try to get descriptions only from services’ WSDL files. But according to our investigation, currently a large number of web services do not contain enough available description information in their WSDL files. So, enriching descriptions for public web services using the information outside of WSDL files becomes a great challenge. In this paper, we propose an approach to enrich descriptions for public web services using the information captured from services’ related web pages on the Internet. Using our approach, considerable descriptions for web services could be enriched. An experimental study based on the real data acquired from the Internet has been carried out to verify the applicability of our approach.

关键词： Web services description services discovery information retrieval web services search engine

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Prediction model for tiered accuracy requirements in large-scale object tracking sensor networks

Prediction model for tiered accuracy requirements in large-s...

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10th IEEE International Conference on computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Qin, Guangcheng Yang, Panlong Chen, Qiang Yin, Hao Lin, Kai Institute Communication Engineering P.L.A University of Science and Technology China Institute of Electronic System Engineering Beijing China School of Computer Sci and Tech. Dalian Univ. of Tech. China

ISBN: (纸本)9780769541082

In large-scale object tracking wireless sensor networks, multiple mobile nodes will bring large amount of communication overheads in maintaining the accuracy of localization tracking, which would possibly affect the collection and dissemination of the tracking data, seriously. Existing seminar works purely focus on achieving optimal tracking accuracy and suffer from large amount of protocol overhead, due to lacking of adaptations on various accuracy requirements for different tracking applications. In this paper, we propose a prediction based object tracking protocol for tiered accuracy requirements. The tired accuracy requirements are perceived by each entity so as to establish a unified predicted model for the moving objects and the sink nodes. Moreover, the network entities could share the corresponding model parameters to others related, thus, all the interested entities use the same model to predict the moving objects and the corresponded sink location, so as to achieve a precise location. In this approach, the system achieves efficient data distribution and information sharing to reduce communication overheads, such that tiered application requirements are satisfied. An optimal model on vehicular mobility in analytical form is made, employing the trace generated by kinematic model and the data collected in real experiments. In that, we set up a simulation environment in evaluating our protocol using Qualnet, a validated commercial simulation platform. Simulation results show that, the proposed algorithm can effectively improve network efficiency and successfully satisfy different level of application requirements. © 2010 IEEE.

关键词： Forecasting

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Text data compression ratio as a text attribute for a language-independent text art extraction method

Text data compression ratio as a text attribute for a langua...

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International Conference on Digital Information Management

作者： Suzuki, Tetsuya Hayashi, Kazuyuki Department of Electronic Information Systems College of Systems Engineering and Science Shibaura Institute of Technology Minuma Saitama City Saitama 337-8570 Japan Department of Electrical Engineering and Computer Science Graduate School of Engineering Shibaura Institute of Technology Minuma Saitama City Saitama 337-8570 Japan

ISBN: (纸本)9781424475728

Text based pictures called text art are often used in Web pages, email text and so on. They enrich expression in text data, but they can be noise for handling the text data. For example, they can be obstacle for text-to-speech software and natural language processing. Text art extraction methods, which detects the area of text art in a given text data, help to solve such problems. Previously proposed text art extraction methods, however, will not work for text data with more than one natural languages well because they assume that a specific natural language is used in text data. We have proposed a text art extraction method for multi natural languages in our past paper. The extraction method uses an attribute based on successive occurrences of same two characters. The attribute represents a characteristic such that same characters often appear successively in text art. In this paper, we use two data compression ratios of text data instead of the attribute in the our extraction method, namely compression ratio by Run Length Encoding (RLE) and that by LZ77. Our experiments show that our extraction method with compression ratio by RLE works better than both that with compression ratio by LZ77 and our previous extraction method. ©2010 IEEE.

关键词： Websites

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Combining PSM and HMM for unsupervised signer adaptation

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ICIC Express Letters 2010年第1期4卷 249-254页

作者： Zhou, Yu Gao, Wen School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China School of Electronic Engineering and Computer Science Peking University Beijing 100871 China

This letter focuses on making use of the new signer's unlabeled data toimprove the performance of sign language recognition (SLR) systems. First, anovel algorithm - polynomial segment model (PSM,) is introduced for SLR. PSM andthe traditional algorithm - HMM complement each other. After combining thesetwo algorithms to label the unlabeled sign language data, the label rate can beimproved. "Labeled" data are used as the adaptation data to adapt theoriginal HMMs with *** likelihood linear regression (MLLR) and to retrainthe original PSM. Combining new HMMs and PSMs for decoding greatly improves theperformance of the SLR systems. ICIC International © 2010.

关键词： Hidden Markov models

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The QMUL System Description for IWSLT 2010 7

The QMUL System Description for IWSLT 2010

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7th International Workshop on Spoken Language Translation, IWSLT 2010

作者： Yahyaei, Sirvan Monz, Christof School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom ISLA Informatics Institute University of Amsterdam Science Park 107 Amsterdam1098 XG Netherlands

The QMUL submission to IWSLT 2010 is a phrase-based statistical MT system. A multi-stack, multi-beam decoder with several features, with weights tuned on the provided development data through Minimum Error Rate Training (MERT) algorithm. This year QMUL participated in Arabic-English, French-English and Turkish-English language pairs of the BTEC task. A discriminative reordering model is added as a feature to improve the reordering capabilities of the decoder. In addition, an algorithm is devised to determine the best distortion limit for each hypothesis expansion. Improvements in quality were also gained by different means in different stages of the training and decoding. © IWSLT 2010. All rights reserved.

关键词： Decoding

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Multi-zone thermal processing in semiconductor manufacturing: Bias estimation

Multi-zone thermal processing in semiconductor manufacturing...

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作者： Yan, Han Ho, Weng Khuen Ling, Keck Voon Lim, Khiang Wee Department of Electrical and Computer Engineering National University of Singapore Singapore 119077 Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Institute of Materials Research and Engineering Agency for Science Technology and Research Singapore 117602 Singapore

Temperature uniformities within a wafer and from wafer to wafer have significant impact on the smallest feature size or critical dimension of integrated circuits. These are important issues with stringent specifications. To obtain temperature uniformity, a wafer is heated by multiple independently controlled heating elements simultaneously. The accuracy of temperature sensing is hence an important issue. In this paper, sensor bias is estimated for the difficult problem where measurement outliers are close to good data such that they cannot be separated easily. Equations are derived to predict the variance of the estimates from sample size. This information enables the selection of an efficient estimator. Sensor bias estimation efficiency translates into earlier bias removal and less faulty wafers. The theory is verified experimentally in a multi-zone thermal system for semiconductor wafer processing. © 2006 IEEE.

关键词： Silicon wafers

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Mapping the underworld: Location phase II-latest developments

Mapping the underworld: Location phase II-latest development...

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28th International No-Dig Conference and Exhibition 2010, NO-DIG 2010

作者： Royal, A.C.D. Rogers, C.D.F. Atkins, P.R. Brennan, M.J. Chapman, D.N. Cohn, A.G. Curioni, G. Foo, K.Y Goddard, K. Lewin, P.L. Metje, N. Muggleton, J.M. Naji, A. Pennock, S.R. Redfern, M.A. Saul, A.J. Swingler, S.G. Wang, P. School of Civil Engineering University of Birmingham United Kingdom School of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom Institute of Sound and Vibration Research University of Southampton United Kingdom School of Computing University of Leeds United Kingdom School of Electronics and Computer Science University of Southampton United Kingdom Department of Electronic and Electrical Engineering University of Bath United Kingdom Department of Civil and Structural Engineering University of Sheffield United Kingdom

ISBN: (纸本)9781617821899

Accurate location of buried utilities is crucial if trenchless technologies are to fulfil their potential in urban areas, as inaccuracy adds risk to the design and hence cost. For techniques such as horizontal direction drilling, this increased risk could mean that new services have to be installed deeper than is really desired and this can lead to maintenance issues for this service in the future. The Mapping the Underworld: Location Phase 2 (MTU2) research project in the UK is a multi-university, multi-disciplinary project with support from 40+ partner companies and organisations. This second phase aims to produce a multi-sensor device for the improved location of buried utilities. This paper describes the latest research into the several sensor technologies that will be incorporated into the device, including ground penetrating radar, vibro-acoustics, low frequency electromagnetic and magnetic fields. It also reports on how the project is fusing the data from these sensors with current network records to produce enhanced information on the location of the buried utilities. The paper also describes the research investigating the issues of 'seeing' through the ground, and using ground condition information within a knowledge based system to aid tuning and use of the location device in the field.

关键词： Location

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Logarithm cofactor difference extrema of MOS devices' post-breakdown current and application to parameter extraction

Logarithm cofactor difference extrema of MOS devices' post-b...

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2010 10th IEEE International Conference on Solid-State and Integrated Circuit Technology

作者： Ma, Chenyue Zhang, Chenfei Zhang, Xiufang He, Frank Zhang, Xing Key Laboratory of Integrated Microsystems School of Computer and Information Engineering Peking University Shenzhen 518055 China Institute of Microelectronics School of Electronic Engineering and Computer Science Peking University Beijing 100871 China Peking University Shenzhen SOC Key Laboratory PKU HKUST Shenzhen Institute Hi-Tech Industrial Park South Shenzhen 518057 China

ISBN: (纸本)9781424457984

This paper proposed an advanced logarithm cofactor difference operator (LogCDO) method to extract parameters of the MOS devices' post-breakdown current. The experimental results of the post breakdown current in MOS devices at different temperature are used to demonstrate the validity of the advanced LogCDO method. The post-breakdown current is equivalent to a dual diode circuit model, and then the LogCDO method is applied to extract key model parameters. The extraction results are consistent very well with the measured data over a wide range of temperature. ©2010 IEEE.

关键词： Parameter extraction

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data clustering with cat swarm optimization

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Journal of Convergence Information Technology 2010年第8期5卷 2-2页

作者： Liu, Yongguo Shen, Yidong School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing 100191 China

In this article, a recent metaheuristic method, cat swarm optimization, is introduced to find the proper clustering of data sets. Two clustering approaches based on cat swarm optimization called Cat Swarm Optimization Clustering (CSOC) and K-harmonic means Cat Swarm Optimization Clustering (KCSOC) are proposed. In the proposed methods, seeking mode and tracing mode are adopted to exploit and explore the solution space. In addition, K-Harmonic Means (KHM) operation is designed to refine the population and accelerate the convergence of the clustering algorithm. Experimental results on six real life data sets are given to illustrate the effectiveness of the proposed algorithms.

关键词： Clustering algorithms

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Reality-preserving image encryption assosiated with the chaos and the LCT

Reality-preserving image encryption assosiated with the chao...

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Congress on Image and Signal Processing, CISP

作者： Xue Mei Li Lin Dai Department of Electronic and Information Engineering Beijing Electronic Science and Technology Institute Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China

A novel scheme on reality-preserving image encryption is proposed in this paper. The chaos function and the linear canonical transform are employed. The unpredictability and initial sensitivity properties of chaotic system are utilized to generate both the scrambling matrix and the masks for encryption. The image is processed in the linear canonical domain via saving half of the spectrum to construct the real encrypted image which is real-valued without data expanding. It can benefit the digital processing of images by electronic computers where speed of computation is important. The key space is large enough to make brute-force attacks infeasible. The robustness with respect to the blind encryption is performed. Simulation results show the validity of the proposed technique.

关键词： Encryption Transforms Pixel Chaotic communication

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