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Conference on Lasers and Electro-Optics

作者： Kang, Christopher Phare, Christopher Weiss, Sharon M. Vlasov, Yurii A. Assefa, Solomon Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Department of Physics and Astronomy Vanderbilt University Nashville TN 37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University 37235 United States IBM. T.J. Watson Research Center Yorktown Heights NY 10536 United States

Photonic crystal cavities with tunable surface area via multiple-hole defects were investigated for increased resonance wavelength shins upon exposure to variable-index analytes. Sensitivity was improved by 10% compar... 详细信息

ISBN: (纸本)9781557528902

关键词： Surface defects

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Photonic crystal defects with increased surface area for improved refractive index sensing

Photonic crystal defects with increased surface area for imp...

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Conference on Lasers and Electro-Optics, CLEO 2010

作者： Kang, Christopher Christopher Phare Weiss, Sharon M. Vlasov, Yurii A. Assefa, Solomon Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Department of Physics and Astronomy Vanderbilt University Nashville TN 37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University Tennessee 37235 United States IBM T.J. Watson Research Center Yorktown Heights NY 10536 United States

Photonic crystal cavities with tunable surface area via multiple-hole defects were investigated for increased resonance wavelength shifts upon exposure to variable-index analytes. Sensitivity was improved by 10% compa... 详细信息

ISBN: (纸本)9781557528896

关键词： Refractive index

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Chi-Huang Chen Sheau-Ling Hsieh Yung-Ching Weng Wen-Yung Chang Feipei Lai Department of Electrical Engineering National Taiwan University Taipei Taiwan EECS International Graduate Program Institute IT Center National Chiao Tung University Hsinchu Taiwan Department of Computer Science and Engineering National Taiwan University Taiwan Institute of Computer Science and Engineering College of Computer Science National Chiao Tung University Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan

Semantic similarity measure plays an essential role in Information Retrieval and Natural Language Processing. In this paper we propose a page-count-based semantic similarity measure and apply it in biomedical domains. Previous researches in semantic web related applications have deployed various semantic similarity measures. Despite the usefulness of the measurements in those applications, measuring semantic similarity between two terms remains a challenge task. The proposed method exploits page counts returned by the Web Search Engine. We define various similarity scores for two given terms P and Q, using the page counts for querying P, Q and P AND Q. Moreover, we propose a novel approach to compute semantic similarity using lexico-syntactic patterns with page counts. These different similarity scores are integrated adapting support vector machines, to leverage the robustness of semantic similarity measures. Experimental results on two datasets achieve correlation coefficients of 0.798 on the dataset provided by A. Hliaoutakis, 0.705 on the dataset provide by T. Pedersen with physician scores and 0.496 on the dataset provided by T. Pedersen et al. with expert scores.

关键词： Semantics Biomedical measurements Correlation Kernel Training Medical services Support vector machine classification

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A multi-source micro power generator employing thermal and vibration energy harvesting

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Procedia engineering 2010年 5卷 1176-1179页

作者： Hakan Töreyin Emre Topal Haluk Külah Middle East Technical University Department of Electrical and Electronics Engineering Ankara Turkey Middle East Technical University Micro and Nano Technologies Graduate Program Ankara Turkey METU-MEMS Research and Application Center Ankara TURKEY * Currently with School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta U.S.A.

This paper introduces a new cantilever type multi-source energy harvester generating electric power from both ambient heat and vibration. Harvesting energy from vibration was realized by electromagnetic conversion, whereas the energy generation from heat was supplied by making use of Seebeck effect of Cr–Al thermocouples implemented on the microcantilevers. The measured average Seebeck coefficient is 12 μV/K per thermocouple. A total voltage of 3.3 mV was generated from the thermoelectric part and 13.4 mV from the electromagnetic part of the device. Measured total power from the fabricated chip is 1.91 nW (1.12 nW from vibration, 0.79 nW from thermoelectric).

关键词： Energy harvesting Thermoelectric, electromagnetic Vibration Micro power generation

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The keyword-based and semantic-driven data matching approach for assisting structuralizing the textual clinical documents

The keyword-based and semantic-driven data matching approach...

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Chi-Huang Chen Xiao-Ou Ping Zi-Jun Wang Sheau-Ling Hsieh Li-Chin Chen Yi-Ju Tseng Ching-Wei Hsu Feipei Lai Department of Electrical Engineering National Taiwan University Taipei Taiwan Graduate Institute of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Electronic and Bioinformatics National Taiwan University Taipei Taiwan EECS International Graduate Program Institute IT Center National Chiao Tung University Hsinchu Taiwan

The clinical data stored in the health information system can be categorized as two types including structuralized data and non-structuralized ones. In the paper, a data extraction system is developed to assist data retrieval from the non-structuralized textual clinical documents such as radiology reports, pathology reports, etc. The system provides keyword-based and semantic-driven data matching methodology to extract the specific information from the textual clinical documents. The matching methodology provides the capabilities to recognize the selected keywords and the related semantics in the documents. Through the extraction verification interface, clinicians can extract and verify the matched information semi-automatically. The extracted data can be filled into predefined case-oriented templates. The structuralized data can be stored back into the clinical data warehouse for further analyzing. Moreover, the case-oriented templates can support collecting corresponding extracted data for various researches.

关键词： Data mining Semantics Pattern matching Tumors Radiology Pathology Cancer

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Web-based healthcare Hand Drawing Management System

Web-based healthcare Hand Drawing Management System

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Sheau-Ling Hsieh Yung-Ching Weng Chi-Huang Chen Kai-Ping Hsu Jeng-Wei Lin Feipei Lai EECS International Graduate Program Institute IT Center National Chiao Tung University Hsinchu Taiwan Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Computer and Information Networking Center National Taiwan University Taipei Taiwan Department of Information Management Tunghai University Taichung Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan

The paper addresses Medical Hand Drawing Management System architecture and implementation. In the system, we developed four modules: hand drawing management module; patient medical records query module; hand drawing editing and upload module; hand drawing query module. The system adapts windows-based applications and encompasses web pages by *** hosting mechanism under web services platforms. The hand drawings implemented as files are stored in a FTP server. The file names with associated data, e.g. patient identification, drawing physician, access rights, etc. are reposited in a database. The modules can be conveniently embedded, integrated into any system. Therefore, the system possesses the hand drawing features to support daily medical operations, effectively improve healthcare qualities as well. Moreover, the system includes the printing capability to achieve a complete, computerized medical document process. In summary, the system allows web-based applications to facilitate the graphic processes for healthcare operations.

关键词： Medical services Biomedical imaging Printing Conferences Web services Graphics Databases

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Integrated use of artificial neural networks and genetic algorithms for problems of alarm processing and fault diagnosis in power systems

Integrated use of artificial neural networks and genetic alg...

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2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010

作者： Fritzen, Paulo Cícero Cardoso Jr., Ghendy Zauk, João Montagner De Morais, Adriano Peres Bezerra, Ubiratan H. Beck, Joaquim A. P. M. Federal Institut of Education Science and Tecnology of Tocantins Campus Palmas IFTO Avenue LO 5 Block AE 310 South Palmas Tocantins 77021-090 Brazil Federal University of Santa Maria Eletrical Engineering Pós-Graduate Program UFSM Avenue Roraima 1000 Santa Maria Rio Grande do Sul 97105-900 Brazil Federal University of Pará Department of Electrical Engineering and Computer Street Augusto Corrêa 01 Guamá 66075-110 Belém Pará Brazil Centrais Elétricas Do Norte Do Brasil S/A Eletronorte Quarter 06 Set A B and Block C Asa Norte 70.716-901 Brasília DF Brazil

ISBN: (纸本)3642121446

This work approaches relative aspects to the alarm processing problem and fault diagnosis in system level, having as purpose filter the alarms generated during a outage and identify the equipment under fault. A methodology was developed using Artificial Neural Networks (ANN) and Genetic Algorithms (GA) in order to resolve the problem. This procedure had as initiative explore the GA capacity to deal with combinatory problems, as well as the ANN processing speed and generalization capacity. Such strategy favors a fast and robust solution. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Neural networks

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Evolving granular classification neural networks

Evolving granular classification neural networks

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2009 International Joint Conference on Neural Networks, IJCNN 2009

作者： Leite, Daniel F. Costa Jr., Pyramo Gomide, Fernando Faculty of Electrical and Computer Engineering University of Campinas Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424435531

The objective of this study is to introduce the concept of evolving granular neural networks (eGNN) and to develop a framework of information granulation and its role in the online design of neural networks. The suggested eGNN are neural models supported by granule-based learning algorithms whose aim is to tackle classification problems in continuously changing environments. eGNN are constructed from streams of data using fast incremental learning algorithms. eGNN models require a relatively small amount of memory to perform classification tasks. Basically, they try to find information occurring in the incoming data using the concept of granules and T-S neurons as basic processing elements. The main characteristics of eGNN models are continuous learning, self-organization, and adaptation to unknown environments. Association rules and parameters can be easily extracted from its structure at any step during the evolving process. The rule base gives a granular description of the behavior of the system in the input space together with the associated classes. To illustrate the effectiveness of the approach, the paper considers the Iris and Wine benchmark problems. © 2009 IEEE.

关键词： Learning algorithms

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Controller design to regulate the DC voltage of a VSC converter

Controller design to regulate the DC voltage of a VSC conver...

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2009 IEEE electrical Power and Energy Conference, EPEC 2009

作者： Hidalgo Mora, Carlos A. Diaz, Nelson L. Universidad Distrital F.J.C. Bogota Colombia Department of Electrical and Computer Engineering Graduate Program in Engineering - Industrial Automation Universidad Nacional de Colombia Bogota Colombia

ISBN: (纸本)9781424445080

The basic function of VSCs is to convert the DC voltage stored in a capacitor into AC voltages or AC voltages into DC voltage. One of the advantages of the VSC is that this kind of electronic converters allow to control the active and reactive power flow with an ac-grid independently. This paper presents a short analysis of the characteristics and dynamic of VSC-HVDC, identification techniques to find transfer function to DC Voltage and Reactive Power in a rectifier station are explored, and finally controller design to regulate the DC voltage is exposed and tested by simulations using Matlab Simulink and its toolbox SimpowerSystems. ©2009 IEEE.

关键词： Reactive power

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A Combined FCM-GA Approach to Supervise Industrial Process

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IFAC Proceedings Volumes 2009年第8期42卷 1144-1149页

作者： Flávio Neves-Jr L.V.R. Arruda M. Mendonça Graduate School in Electrical Engineering and Applied Computer Sciences Federal University of Technology – Paraná (UTFPR) Curitiba-Pr Brazil (zip code 80230-901)

This paper presents a supervisory control strategy based on fuzzy cognitive map (FCM) and genetic algorithm (GA). Fuzzy cognitive maps are a neuro-fuzzy methodology that can model complexly system accurate. In the proposed methodology, the expert knowledge about the process behavior is used to build an initial FCM. This FCM is extended and refined to incorporate control strategies by means of a GA which runs with simulated process data. The resulting FCM is used to generate set points for the regulatory loops in the plant lower level. The developed supervisory control methodology is applied to an alcoholic fermentation process from chemical industry. Comparison of performance is made with another intelligent approach (Fuzzy-PD), and also with a predictive approach based on DMC (Dynamic Matrix Control).

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