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9th International Conference on Telecommunications, ConTEL 2007

作者： Čereković, Aleksandra Huang, Hung- Hsuan Zorić, Goranka Tarasenko, Kateryna Levačić, Vjekoslav Pandžić, Igor S. Nakano, Yukiko Nishida, Toyoaki Faculty of Electrical Engineering and Computing Zagreb Croatia Graduate School Informatics Kyoto University Japan Department of Computer Information and Communication Sciences Tokyo University of Agriculture and Technology Japan

ISBN: (纸本)9531841101

The advancement of traffic makes world more and more internationalized and increases frequency of communication between people who come from different cultures. Differences in their conversation go beyond the languages they speak to the non-verbal behaviors they express while talking. To improve the abilities of the embodied conversational agents (ECAs) while interacting with human users we are working on the ECA based application, a tour guide of city Dubrovnik that servers visitors in Japanese, Croatian and general western cultures speaking in English. This paper presents the overall architecture and explains possible extension with another culture. It describes issues we met while making agent talk in Croatian and proposed solutions.

关键词： Communication systems

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The OHSU biomedical question answering system framework

The OHSU biomedical question answering system framework

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16th Text REtrieval Conference, TREC 2007

作者： Cohen, A.M. Yang, J. Fisher, S. Roark, B. Hersh, W.R. Department of Medical Informatics and Clinical Epidemiology Oregon Health and Science University Portland OR United States Department of Computer Science and Electrical Engineering OGI School of Science and Engineering Oregon Health and Science University Portland OR United States

The Oregon Health & Science University submission to the TREC 2007 Genomics Track approached the entity list question answering task using a modular object oriented system framework. A system object coordinates a collection of processing objects into a pipe that constructs a set of queries, retrieves passage, and then processes those passages into a final output answer set. Using the framework we applied multiple levels of synonym expansion and a ranked series of topic queries with a range of specificities in order to retrieve all of the likely relevant passages with the most likely ranked higher. We then applied sentence pruning to the head and tail of each passage using both NLP and term-based techniques. Overall scores finished around the TREC Genomics mean for each of the four measures. Careful passage retrieval, including synonym expansion and multiple query construction, as well as sentence pruning was essential in achieving acceptable performance on this task.

关键词： Genome

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A scholarship recruitment and selection strategy that successfully attracts diverse and academically talented freshmen

A scholarship recruitment and selection strategy that succes...

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114th Annual ASEE Conference and Exposition, 2007

作者： Papadopoulos, Chris Brucks, Karen Key, Eric Munson, Ethan Vairavan, K. University of Wisconsin Milwaukee United States Department of Civil Engineering and Mechanics University of Wisconsin Milwaukee United States UWM Computer Science Engineering and Mathematics Scholarship Program Brazil Department of Mathematical Sciences University of Wisconsin Milwaukee United States Mathematical Science Department UWM's Actuarial Science Program Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee United States ACM SIGWEB Group on Hypertext Hypermedia and the Web Department of Electrical Engineering and Computer Science Department of Medical Informatics

We describe recruitment and selection procedures of the computer Science, engineering, and Mathematics Scholarship (CSEMS) Program at the University of Wisconsin-Milwaukee that are designed to attract students who are academically talented, financially needy, and diverse. In particular, we address the possible exclusion of underrepresented minority students that could result if standardized test scores are used indiscriminately as metrics of student performance in both recruitment and selection procedures. We describe a "conditional award" process that enables students whose calculus placement is moderately below calculus to competitively apply for and receive scholarships;awards to such students are activated on the condition that they attempt to attain calculus placement prior to matriculation. We present data that demonstrate moderate effectiveness of these methods in fostering diversity among our scholars and reasonably encouraging retention and estimated graduation rates. We discuss areas of improvement for future program years, such as forging new partnerships with local Project Lead The Way high schools to recruit higher numbers of females and minorities, and developing new mentoring opportunities to reduce attrition, especially among underrepresented minority students. © American Society for engineering Education, 2007.

关键词： Social aspects

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On the latency, energy and area of checkpointed, superscalar register alias tables

On the latency, energy and area of checkpointed, superscalar...

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International Symposium on Low Power Electronics and Design (ISLPED)

作者： Elham Safi Patrick Akl Andreas Moshovos Andreas Veneris Aggeliki Arapoyianni Department of Electrical and Computer Engineering University of Toronto Department of Informatics University of Athens

We present two full-custom implementations of the Register Alias Table (RAT) for a 4-way superscalar dynamically-scheduled processor in a commercial 130nm CMOS technology. The implementations differ in the way they organize the embedded global checkpoints (GCs) which support speculative execution. In the first implementation, representative of early designs, the GCs are organized as shift registers. In the second implementation, representative of more recent proposals, the GCs are organized as random access buffers. We measure the impact of increasing the number of GCs on the latency, energy, and area of the RAT. The results support the importance of recent techniques that reduce the number of GCs while maintaining performance.

关键词： Delay CMOS technology Proposals Checkpointing Shift registers Permission informatics CMOS process Area measurement Energy measurement

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Introducing Fuzzy Cognitive Maps for decision making in precision agriculture

Introducing Fuzzy Cognitive Maps for decision making in prec...

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6th European Conference on Precision Agriculture, ECPA 2007

作者： Markinos, Ath. Papageorgiou, El. Stylios, Chr. Gemtos, Th. Department of Agriculture Laboratory of Farm Mechanization University of Thessaly Greece Department of Electrical and Computer Engineering Laboratory for Automation and Robotics University of Patras Greece TEI of Epirus Department of Telecommunications Informatics and Management Artas Epirus Greece

ISBN: (纸本)9789086860241

A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of nodes-concepts (describing elements of the system) which are connected with weighted edges (representing the cause and effect relationships among the concepts). FCMs have proved to be a promising modeling methodology with many successful applications in different areas especially for simulating system design, modeling and control. In this work, FCMs are introduced to model a decision support system for precision agriculture (PA). The FCM model developed consists of nodes which describe soil properties and cotton yield and of the weighted relationships between these nodes. The nodes of the FCM model represent the main factors influencing cotton crop production i.e. essential soil properties such as texture, pH, OM, K, and P. The proposed FCM model addresses the problem of crop development and spatial variability of cotton yield, taking into consideration the spatial distribution of all the important factors affecting yield. The first results of the study are very promising;our model achieves a 70% average success rate on yield class prediction between two possible categories (low and high) for three different years. This model will be further investigated to achieve better results by introducing learning algorithms into FCMs.

关键词： Crops

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Medical acronym disambiguation using online sources

Medical acronym disambiguation using online sources

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2007 International Conference on Enterprise Information Systems and Web Technologies, EISWT 2007

作者： Rajan, Janet Davis, Karen C Matykiewicz, Pawel Duch, Wlodzislaw Pestian, John Electrical and Computer Engineering Department University of Cincinnati Cincinnati OH 45221 United States Division of Biomedical Informatics Department of Pediatrics Cincinnati Children's Hospital Medical Center Cincinnati OH 45221 United States School of Computer Engineering Nanyang Technological University Singapore Singapore Department of Informatics Nicholaus Copernicus University Grudziadzka 5 87-100 Torun Poland

ISBN: (纸本)9781615677245

Hospitals produce millions of patient records consisting of clinical annotations containing extensive usage of abbreviations. The data in these clinical annotations are an excellent source for bioinformatics research but the use of abbreviations can create ambiguity. The main objective of our research is to develop a software application that takes a medical acronym as input and accesses medical and pharmaceutical websites to retrieve information from articles containing the acronym along with a user selected full-form of the acronym. The retrieved information consists of article title, authors, publication date, article abstract, and Medical Subject Header (MeSH) details. The information is used by researchers in the Biomedical informatics Division of the Cincinnati Children's Hospital Medical Center as part of a research effort for reducing the ambiguity created by the use of acronyms. Our contribution to this research effort is a framework for disambiguation that accesses online sources;we design and populate an internal database that can be used in future research efforts.

关键词： Hospitals

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Combining content and context information for semantic image analysis and classification

Combining content and context information for semantic image...

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15th European Signal Processing Conference, EUSIPCO 2007

作者： Papadopoulos, G.Th. Mezaris, V. Kompatsiaris, I. Strintzis, M.G. Informatics and Telematics Institute Thermi-Panorama Road Thessaloniki GR-57001 Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki GR-54124 Greece

ISBN: (纸本)9788392134022

In this paper, a learning approach to semantic image analysis and classification is proposed that combines global and local information, with explicitly defined knowledge in the form of an ontology. The ontology specifies the selected domain, its sub-domains, the concepts related to each sub-domain as well as contextual information. Support Vector Machines (SVMs) are employed in order to provide image classification to one of the defined sub-domains based on global image descriptions and, after a segmentation algorithm is applied, to perform an initial mapping between region low-level visual features and the concepts in the ontology. Then, a decision function, that receives as input the region to concepts associations together with contextual information, realizes image classification based on local-level information. The contextual information used is in the form of frequency of appearance of each concept in every particular sub-domain. A fusion mechanism combines the intermediate classification results, provided by the local-and global-level information processing, and decides on the final classification. A Genetic Algorithm (GA) is employed for optimizing the fusion process. Experiments with images from the personal collection domain demonstrate the performance of the proposed approach. © 2007 EURASIP.

关键词： Ontology

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Optically-addressable packet timeslot interchanger using a quadruple switch array

Optically-addressable packet timeslot interchanger using a q...

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Optical Fiber Communication Conference, OFC 2007

作者： Zouraraki, O. Petrantonakis, D. Yiannopoulos, K. Meleiro, R. Sadeghioon, L.M. Poustie, A. Maxwell, G. Varvarigos, E. Vlachos, K. Monteiro, P. Simeonidou, D. Avramopoulos, H. National Technical University of Athens Electrical and Computer Engineering Department Zografou 15773 Athens Greece University of Patras Computer Engineering and Informatics Department Greece Siemens Networks S.A-University of Aveiro Institute of Telecommunications Portugal University of Essex United Kingdom Centre for Integrated photonics United Kingdom

We propose and demonstrate a wavelength converter-based Time-Slot-Interchanger architecture consisting of cascaded programmable delay stages. It uses an integrated quadruple switch array of HMZI switches and operated ... 详细信息

ISBN: (纸本)1557528306

关键词： Packet networks

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An integrated approach to feature invention and model construction for drug activity prediction 07

An integrated approach to feature invention and model constr...

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24th International Conference on Machine Learning, ICML 2007

作者： Davis, Jesse Costa, Vítor Santos Ray, Soumya Page, David Department of Computer Science University of Wisconsin Madison United States LIACC DCC/FCUP Universidade Do Porto Portugal School of Electrical Engineering and Computer Science Oregon State University United States Department of Biostatistics and Medical Informatics University of Wisconsin Madison United States

ISBN: (纸本)9781595937933

We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts binding affinity by using regression on substructures discovered by relational learning. We make two contributions to the state-of-the-art. First, we use multiple-instance (MI) regression, which represents a molecule as a set of 3D conformations, to model activity. Second, the relational learning component employs the "Score As You Use" (SAYU) method to select substructures for their ability to improve the regression model. This is the first application of SAYU to multiple-instance, real-valued prediction. We evaluate our approach on three tasks and demonstrate that (i) SAYU outperforms standard coverage measures when selecting features for regression, (ii) the MI representation improves accuracy over standard single feature-vector encodings and (iii) combining SAYU with MI regression is more accurate for 3D-QSAR than either approach by itself.

关键词： Learning systems

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Harmonising codification and socialisation in knowledge management

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Knowledge Management Research and Practice 2007年第4期5卷 271-285页

作者： Apostolou, Dimitris Abecker, Andreas Mentzas, Gregoris Department of Informatics University of Piraeus Piraeus Greece Information Process Engineering Forschungszentrum Informatik Karlsruhe Germany School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Zografou Campus Zografou Athens 15780 9 Iroon Polytechniou str. Greece

Decision makers process and combine manifold types of data, information and knowledge, available in various forms in the organisation. The aim of knowledge management (KM) is to provide timely and contextual knowledge to decision makers. A comprehensive KM initiative should leverage the wealth of explicit and tacit knowledge residing in an organisation. In this paper, we advance an ontology-based knowledge handling method and tool that aim at harmonising the codification and socialisation approaches to KM. We present the software system that has been developed and then explain how it can be applied in a methodology-driven manner. This is illustrated using the real-world example of a KM initiative in a management consulting company. © 2007 Operational Research Society Ltd. All rights reserved.

关键词： Decision support Knowledge management tools Knowledge stocks and flows

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