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2008 IEEE International Symposium on Industrial Electronics, ISIE 2008

作者： Mendel, E. Mariano, L.Z. Drago, I. Loureiro, S. Rauber, T.W. Varejão, F.M. Batista, R.J. Department of Computer Science Technology Center Federal University of Espírito Santo Av. Fernando Ferrari s/n 29060-970 Vitória ES Brazil Espírito Santo Exploration and Production Business Unit Automation Inspection and Maintenance Engineering Petróleo Brasileiro S.A. Petrobras Vitória ES Brazil

ISBN: (纸本)1424416655

This paper presents vibration analysis techniques for fault detection in rotating machines. Rolling-element bearing defects inside a motor pump are the object of study, A dynamic model of the faults usually found in this context is presented. Initially a graphic simulation is used to produce the signals. Signal processing techniques, like frequency filters, Hilbert transform and spectral analysis are then used to extract features that will later be used as a base to classify the states of the studied process. After that real data from a centrifugal pump is submitted to the developed methods. © 2008 IEEE.

关键词： Roller bearings

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Trial Formation of Artificial Bone by Inkjet Powder-Layered Manufacturing

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International Journal of Automation technology 2008年第3期2卷 156-161页

作者： Yamazawa, Kenji Anzai, Masahiro Yokota, Hideo Himeno, Ryutaro Suzuki, Hiroshi Narahara, Hiroyuki Suzuki, Shigeki Advanced Engineering Team Advanced Development and Supporting Center RIKEN 2-1 Hirosawa Wako-shi Saitama351-0198 Japan Computational Biomechanics Unit RIKEN 2-1 Hirosawa Wako-shi Saitama351-0198 Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka-shi Fukuoka820-8502 Japan NEXT21 K.K 3-38-1 Hongo Bunkyo-ku Tokyo113-0033 Japan

Artificial bone implants are in relatively simple shapes for use mainly by cutting or manually. To produce a desired bone shape, we used tribasic calcium phosphate bone ash powder as the material and aqueous sodium chondroitin sulfate solution as the binder in inkjet powder-layered manufacturing. In experiments, we reproduced a rabbit femur with a precision of 0.6 mm and a minimum longitudinal hollow shaft 2 mm in diameter based on computed tomography data. We gave the brittle artificial bone a compressive strength of 3 MPa by dipping it in water and binder through its hydrate reaction. © Fuji technology Press Ltd.

关键词： Sulfur compounds

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An automated supervised method for the diagnosis of Alzheimer’s disease based on fMRI data using weighted voting schemes

An automated supervised method for the diagnosis of Alzheime...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： Evathia E. Tripoliti Dimitrios I. Fotiadis Maria Argyropoulou Department of Computer Science Unit of Medical Technology & Intelligent Information Systems University of Ioannina (UoI) Ioannina Greece Department of Radiology Medical School University of Ioannina (UoI) Ioannina Greece

We present an automated supervised method which assists in the diagnosis of Alzheimerpsilas disease (AD) using fMRI data. The method consists of five stages: a) preprocessing of fMRI data to remove motion and spatial noise artifacts, b) modeling of the data using generalized linear models (GLM), c) feature extraction, d) feature selection and e) classification using majority and weighted voting schemes.

关键词： Radio frequency Classification algorithms Feature extraction Distance measurement Data mining Data models Imaging

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Overview of Security Threats for Smart Cards in the Public Transport Industry

Overview of Security Threats for Smart Cards in the Public T...

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AiR'08，EM21'08，SOAIC'08，SIOKM'08，BIMA'08，DKEEE'08(2008IEEE国际电子商务工程学术会议)

作者： Konstantinos Markantonakis Keith Mayes Damien Sauveron Ioannis G.Askoxylakis Information Security Group Smart Card Centre Royal Holloway University of London Egham Surrey Unit XLIM University of Limoges France Institute of Computer Science Foundation for Research & Technology -Hellas

The advantages of utilising smart card technology,more importantly contactless smart cards, in the transport industry have long been realised. In this paper we provide an overview of the generic security issues and threats encountered whenever smart cards are utilised within the transport industry. To help highlight the issues, we analyse the different types of cards, their hosted applications, along with certain requirements on the relevant card issuing authorities.

关键词： Smart cards Information security Costs computer industry Cryptography Plastics computer security computer science Authentication Intelligent vehicles

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A classification-based segmentation of cDNA microarray images using Support Vector machines

A classification-based segmentation of cDNA microarray image...

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

作者： Nikolaos Giannakeas Petros S. Karvelis Dimitrios I. Fotiadis Laboratory of Biological Chemistry Medical School University of Ioannina (UoI) Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece

Microarray technology provides a tool for the simultaneous analysis of the expression level for an amount of genes. Microarray studies have been shown that image processing techniques can significantly influence microarray data precision. In this paper we propose a supervised method for the segmentation of microarray images based on classification techniques. Support Vector machine is employed to classify each pixel of the image into signal, background or artefacts. In addition, a preprocessing step is applied in order to filter the initial image. The proposed method is applied both to real and simulated images. The pixels of the image are classified in two classes for the real images and three classes for the simulated one. For this task, an informative set of features is used from both green and red channels. The results obtained indicate high accuracy (∼99%).

关键词： Image segmentation Support vector machines Feature extraction Probes Shape RNA Fluorescence

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A Novel Biclustering Algorithm for Discovering Value-Coherent Overlapping σ-Biclusters

A Novel Biclustering Algorithm for Discovering Value-Coheren...

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International Conference on Advanced Computing and Communications (ADCOM)

作者： Chandra Das Pradipta Maji Samiran Chattopadhyay Department of Computer Science and Engineering Netaji Subhash Engineering College Kolkata India Machine Intelligence Unit Indian Statistical Institute Kolkata India Department of Information Technology Jadavpur University Kolkata India

The biclustering method is a very useful tool for analyzing gene expression data when some genes have multiple functions and experimental conditions are diverse in gene expression measurement. It focuses on finding a subset of genes and a subset of experimental conditions that together exhibit coherent behavior. A large number of biclustering algorithms has been developed for analyzing gene expression data. Most of them find exclusive biclusters, which is inappropriate in the biological context. Since biological processes are not independent of each other, many genes participate in multiple different processes. Hence, nonexclusive biclustering algorithms are required for finding highly overlapping biclusters. In this regard, a novel overlapping biclustering algorithm is presented here to find overlapping biclusters of larger volume with mean squared residue lower than a given threshold. The proposed method consists of two phases. First, a set of highly coherent seeds is generated based on two-way k-medoids algorithm, where mutual information is used as a similarity measure instead of using Euclidean distance. The seeds are then iteratively adjusted (enlarged or degenerated) by adding or removing genes and conditions based on a new quantitative index. In effect, the proposed method provides highly overlapping coherent biclusters with mean squared residue lower than a given threshold. Some quantitative indices are introduced for evaluating the quality of generated biclusters. The quality of biclusters found by the proposed approach is discussed and the results are compared to those reported by existing methods. In general, the proposed approach shows an excellent performance at finding patterns in gene expression data.

关键词： Gene expression Data analysis Data engineering Algorithm design and analysis Biological processes computer science Educational institutions Machine intelligence Information technology Information analysis

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A supervised method to assist the diagnosis and classification of the status of Alzheimer's disease using data from an fMRI experiment

A supervised method to assist the diagnosis and classificati...

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

作者： Evanthia E. Tripoliti Dimitrios I. Fotiadis Maria Argyropoulou Department of Computer Science Unit of Medical Technology and Intelligent Information Systems University of Ioannina and Biomedical Research Institute Loannina Greece Department of Radiology Medical School University of Ioannina (UoI) Loannina Greece

The aim of this work is the development of a method to assist the diagnosis and classification of the status of Alzheimer's Disease (AD) using information that can be extracted from fMRI. The method consists of five stages: a) preprocessing of fMRI data to remove non-task related variability, b) modeling BOLD response depending on stimulus, c) feature extraction from fMRI data, d) feature selection and e) classification using the Random Forests (RF) algorithm. The proposed method is evaluated using data from 41 subjects (14 young adults, 14 non demented older adults and 13 demented older adults.

关键词： Feature extraction Functional magnetic resonance imaging Alzheimer's disease Radio frequency Classification algorithms

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Interprofessional care simulator for critical care education 08

Interprofessional care simulator for critical care education

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2008 Conference on Future Play: Research, Play, Share, Future Play 2008

作者： Cowan, Brent Shelley, Matthew Sabri, Hamed Kapralos, Bill Hogue, Andrew Hogan, Michelle Jenkin, Michael Goldsworthy, Sandra Rose, Louise Dubrowski, Adam Bloomberg, Lawrence S. Faculty of Business and Information Technology Faculty of Health Sciences Health Education Technology Research Unit University of Ontario Institute of Technology 2000 Simcoe Street North Oshawa L1H 7K4 Canada Department of Computer Science and Engineering Centre for Vision Research York University 4700 Keele St. Toronto ON M3J 1P3 Canada Faculty of Nursing University of Toronto 155 College St. Toronto ON M5T 1P8 Canada

ISBN: (纸本)9781605582184

Interprofessional education is a pedagogical approach which allows health care practitioners to develop a clear under- standing and appreciation of the roles, expertise, and unique contributions of their disciplines as well as those of the other participating health care providers. It also helps build effec- tive team relationships which is essential for optimal health care delivery. Interactive virtual simulation environments, such as serious games, can be used to augment traditional classroom-based interprofessional teaching methods as mul- tiple team members may participate in the simulation si- multaneously regardless of their physical location or time of day. Here we describe the Interprofessional Care Simulator for interprofessional education. Copyright 2008 ACM.

关键词： Serious games

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Automatic bearing fault pattern recognition using vibration signal analysis

Automatic bearing fault pattern recognition using vibration ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： E. Mendel L. Z. Mariano I. Drago S. Loureiro T. W. Rauber F. M. Varejao R. J. Batista Department of Computer Science Technology Center Federal University of Espírito Santo Vitoria Espirito Santo Brazil Department of Computer Science Technology Center Federal University of Espírito Santo Vitoria Espirito Santo Brazil Espírito Santo Exploration and Production Business Unit Inspection and Maintenance Engineering Petróleo Brasileiro S.A. Petrobras Vitoria Espirito Santo Brazil

This paper presents vibration analysis techniques for fault detection in rotating machines. Rolling-element bearing defects inside a motor pump are the object of study. A dynamic model of the faults usually found in this context is presented. Initially a graphic simulation is used to produce the signals. Signal processing techniques, like frequency filters, Hilbert transform and spectral analysis are then used to extract features that will later be used as a base to classify the states of the studied process. After that real data from a centrifugal pump is submitted to the developed methods.

关键词： Pattern recognition Signal analysis Fault detection Rotating machines Pumps Context modeling Graphics Signal processing Frequency Filters

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Point-of-care monitoring and diagnostics for autoimmune diseases

Point-of-care monitoring and diagnostics for autoimmune dise...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Fanis G. Kalatzis Themis P. Exarchos Nikolaos Giannakeas Sofia Markoula Elisavet Hatzi Panagiotis Rizos Ioannis Georgiou Dimitrios I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece Institute of Biomedical Technology CERETETH Larissa Greece Panepistimio Ioanninon Ioannina GR Medical School University of Ioannina Greece Laboratory of Genetics and IVF University Hospital of Ioannina Greece Genetics Unit Department of Obstetrics and Gynaecology Medical School Ioannina Greece

In this paper we present the POCEMON platform, a platform aiming to the early prognosis and diagnosis of autoimmune diseases at any point of care, even the primary. The objective of the POCEMON platform is the development of a diagnostic lab-on-chip device based on genomic microarrays of HLA-typing. The POCEMON is going to advance and promote the primary health care across Europe by supporting a) point-of-care diagnostics, b) monitoring of immune system status and c) management of the chronic multiple sclerosis (MS) and rheumatoid arthritis (RA) autoimmune diseases. The platform combines high-end Information and Communication Technologies based on microfluidics, microelectronics, microarrays and intelligent diagnosis algorithms.

关键词： Monitoring Diseases Multiple sclerosis Genomics Bioinformatics Medical services Europe Immune system Arthritis Communications technology

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