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International Symposium for Design and Technology of Electronics Packages (SIITME)

作者： C. Lung A. Buchman Electrical Electronics and Computer Engineering Department UTCN-CUNBM Baia Mare Romania Faculty of Informatics Debrecen University Debrecen Hungary

This paper presents an innovative implementation of a radio communication system, which is able to transmit analog and digital data. The main goal of this project is to implement a multiprocessor system, based on the FPGA technology, which can control multiple radio transceivers. In this configuration allow a various possibilities of communication: analogue (voice) communication and data transmission at different baud rates and frequency.

关键词： Field programmable gate arrays Lungs computers Hardware Internet Robots

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EMG based classification of basic hand movements based on time-frequency features

EMG based classification of basic hand movements based on ti...

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Mediterranean Conference on Control & Automation

作者： Christos Sapsanis George Georgoulas Anthony Tzes Department of Electrical and Computer Engineering University of Patras KIC Laboratory Department of Informatics and Telecommunications Technology Technological Educational Institute of Epirus

ISBN: (纸本)9781479909964

This paper proposes an integrated approach for the identification of daily hand movements with a view to control prosthetic members. The raw EMG signal is decomposed into Intrinsic Mode Functions (IMFs) with the use of Empirical Mode Decomposition (EMD). A number of features are extracted in time and in frequency domain. Two different dimentionality methods are tested, namely the Principal Component Analysis (PCA) technique and the RELIEF feature selection algorithm. The outputs of the dimensionality reduction stage are then fed to a linear classifier to perform the detection task. The approach was tested on a group of young individuals and the results appear promising.

关键词： Biomedical signal analysis Empirical Mode Decomposition RELIEF feature selection. Principal Component analysis Pattern classification Electromyography

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Cloud-based mobile system for biometrics authentication

Cloud-based mobile system for biometrics authentication

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International Conference on ITS Telecommunications (ITST)

作者： F. Omri S. Foufou R. Hamila M. Jarraya Computer Science and Engineering Department Qatar University Qatar Electrical Engineering Department Qatar University Qatar College of Computation and informatics Saudi Electronic University Saudi Arabia

This paper introduces a new framework to perform handwritten password authentication as an Internet service based on the cloud computing technology. Using the proposed cloud-based authentication platform, we would be able to apply several advanced practical algorithms, such as k-nearest neighbor, and artificial neural network classifier used for large-scale character recognition. The classifier algorithm uses parallel classifier combination method in order to achieve satisfying accuracy for both recognition and error rate.

关键词： Authentication Image segmentation Artificial neural networks Physiology Biometrics (access control) Mobile handsets Gray-scale

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Using Meta-ethnography to Synthesize Research: A Worked Example of the Relations between Personality and Software Team Processes

Using Meta-ethnography to Synthesize Research: A Worked Exam...

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International Symposium on Empirical Software engineering and Measurement, ESEM

作者： Fábio Q.B. da Silva Shirley S.J.O. Cruz Tatiana B. Gouveia Luiz Fernando Capretz Centre for Informatics Federal University of Pemambuco Recife Brazil Department of Electrical & Computer Engineering University of Western Ontario London Canada

Context: The increase in the number of qualitative and mixed-methods research published in software engineering has created an opportunity for further knowledge generation through the synthesis of studies with similar aims. This is particularly true in the research on human aspects because the phenomena of interest are often better understood using qualitative research. However, the use of qualitative synthesis methods is not widespread and worked examples of their consistent application in software engineering are needed. Objective: To explore the use of meta-ethnography in the synthesis of empirical studies in software engineering through an example using studies about the relations between personality and software team processes. Methods: We applied the seven phases of meta-ethnography on a set of articles selected from a previously developed systematic review, to assess the appropriateness of meta-ethnography in this domain with respect to ease of use, and usefulness and reliability of results. Results: Common concepts were identified through reading and interpreting the studies. Then, second order translations were built and used to synthesize a model of the relationships between personality and software team processes. Conclusions: Meta-ethnography is adequate in the synthesis of empirical studies even in the context of mixed-methods studies. However, we believe that the method should not be used to synthesize studies that are too disparate to avoid the development of gross generalizations, which tend to be fruitless and are contrary to the central tenets of interpretive research.

关键词： Software Context Software engineering Reliability Teamwork Data mining Educational institutions

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Improving EMG based Classification of basic hand movements using EMD

Improving EMG based Classification of basic hand movements u...

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

作者： Christos Sapsanis George Georgoulas Anthony Tzes Dimitrios Lymberopoulos Department of Electrical and Computer Engineering University of Patras KIC Laboratory Department of Informatics and Telecommunications Technology Technological Educational Institute of Epirus

ISBN: (纸本)9781457702150

This paper presents a pattern recognition approach for the identification of basic hand movements using surface electromyographic (EMG) data. The EMG signal is decomposed using Empirical Mode Decomposition (EMD) into Intrinsic Mode Functions (IMFs) and subsequently a feature extraction stage takes place. Various combinations of feature subsets are tested using a simple linear classifier for the detection task. Our results suggest that the use of EMD can increase the discrimination ability of the conventional feature sets extracted from the raw EMG signal.

关键词： Biomedical signal analysis Empirical Mode Decomposition (EMD) Pattern classification Electromyography (EMG)

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Evolutionary synthesis of control rules by means of analytic programming for the purpose of high order oscillations stabilization of evolutionary synthesized chaotic system

Evolutionary synthesis of control rules by means of analytic...

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Conference on Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems, Nostradamus 2012

作者： Senkerik, Roman Oplatkova, Zuzana Zelinka, Ivan Tomas Bata University in Zlin Faculty of Applied Informatics T.G. Masaryka 5555 760 01 Zlin Czech Republic VŠB-Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Computer Science 17. listopadu 15 708 33 Ostrava-Poruba Czech Republic

ISBN: (纸本)9783642332265

In this paper, it is presented a utilization of tool for symbolic regression, which is analytic programming, for the purpose of the synthesis of a new control law. This synthesized chaotic controller secures the stabilization of high periodic orbit - oscillations between several values of selected one-dimensional discrete chaotic system, which is artificially evolutionary synthesized system. The paper consists of the descriptions of analytic programming as well as chaotic system, used evolutionary techniques and the cost function. For experimentation, Self-Organizing Migrating Algorithm (SOMA) and Differential evolution (DE) were used. © 2013 Springer-Verlag.

关键词： Chaotic systems

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A path planning behavior learning of six legged robot based on human teaching model

A path planning behavior learning of six legged robot based ...

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IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RIISS

作者： Indra Adji Sulistijono Marianus Bayu Aji Kurniawan Setiawardhana Eka Prasetiono Department of Mechanical and Energy Engineering Electronic Engineering Polytechnic Institute of Surabaya Surabaya Indonesia Department of Informatics and Computer Engineering Electronic Engineering Polytechnic Institute of Surabaya Surabaya Indonesia Department of Electrical Engineering Electronic Engineering Polytechnic Institute of Surabaya Surabaya Indonesia

This paper deals with a six legged robot path planning behavior learning based on human teaching. The six legged robot requires several capabilities such as perceiving, acting, communicating, and surviving. Furthermore, the six legged robot should learn various behaviors through the interaction with owner (human). This paper focuses on teaching path planning to the robot. Basically, the owner can teach the path planning by simple communication based on trial and error. Human teaches the path planning by using his hand. It will give an input of fuzzy controller used for the input and output movement of legged robot. Generally, legged robot will learn some pattern by a number of learning iteration. In every iterations the robot will have some punishment and reward coefficient of reinforcement learning used to generate better population of Genetic Algorithm until it can reach its minimum level of punishment. Experimental result shows that the legged robot can learn the path planning using the proposed method through the interaction with owner.

关键词： Legged locomotion Robot sensing systems Acoustics Robot kinematics Education Genetic algorithms

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A comparison of GNSS-based ionospheric scintillation observations in north and South Hong Kong

A comparison of GNSS-based ionospheric scintillation observa...

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Institute of Navigation Pacific Positioning, Navigation and Timing Meeting, PACIFIC PNT 2013

作者： Liu, Zhizhao Xu, Rui Morton, Yu Xu, Jisheng Pelgrum, Wouter Taylor, Steve Chen, Wu Ding, Xiaoli Department of Surveying and Geo-informatics Hong Kong Polytechnic University 11 Yuk Choi Road Hung Hom Kowloon Hong Kong Department of Electrical and Computer Engineering Miami University OxfordOH United States School of Electronic Information Wuhan University Wuhan Hubei China Avionics Engineering Center Ohio University AthensOH United States

Ionosphere scintillation is caused by irregularities of electron density when radio wave passes through the ionosphere. It leads to random fluctuations in the amplitude and phase of satellite signals, degrading the performance of the satellites based navigation system such as the Global Positioning System (GPS) and other global navigation satellite systems (GNSS). Ionosphere scintillation results in increased navigation errors and may lead to loss-of-lock of satellite signals during strong events. Scintillations are more often observed in equatorial and high latitude areas. Hong Kong, located in a low latitude region (geographic 22.3°N, 114.2°E), frequently experiences serious ionospheric scintillations. This poses a threat to the reliability and accuracy of Hong Kong GNSS applications. In this study, two GNSS-based ionospheric scintillation receivers were used to monitor scintillations in south and north Hong Kong. The south station (HKHT) is equipped with a Septentrio PolaRxS Pro GNSS receiver while the north station (HKST) is equipped with a custom-modified GNSS receiver with a NovAtel OEMV board. Both stations were established in 2012 and are separated by 24 km. The HKHT station provides high-frequency scintillation data, including 50 Hz carrier phase measurements and 100 Hz outputs of correlators (in-phases and quadra-phases). The HKST station outputs 20 Hz carrier phase measurements and carrier-to-noise density (C/N0). In this paper, we first computed the scintillation indices S4 and sf, and then analyzed their temporal and spatial distributions over the two stations. The characteristics of amplitudes and phase scintillations at the south and north Hong Kong stations were compared and analyzed. Our observation results during 16-31 August 2012 showed that both amplitudes and phase scintillations were most observed during 20:00-3:00 LT (LT=UT+8 hours) in Hong Kong. For the stronger scintillations (S4=0.4 or sf=0.4 rad), most occurred during 20:00-23:00 LT. In te

关键词： Scintillation

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The SPHINX Enigma in Critical VoIP Infrastructures: Human or Botnet?

The SPHINX Enigma in Critical VoIP Infrastructures: Human or...

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International Conference on Information, Intelligence, Systems and Applications

作者： D. Gritzalis Y. Soupionis V. Katos I. Psaroudakis P. Katsaros A. Mentis Dept. of Informatics Athens University of Economics & Business Dept. of Electrical & Computer Engineering Democritus University of Thrace Dept. of Informatics Aristotle University of Thessaloniki

ISBN: (纸本)9781479907694

Sphinx was a monster in Greek mythology devouring those who could not solve her riddle. In VoIP, a new service in the role of Sphinx provides protection against SPIT (Spam over Internet Telephony) by discriminating human callers from bot-nets. The VoIP Sphinx tool uses audio CAPTCHA (Completely Automated Public Turing test to tell computers and Humans Apart) that are controlled by an anti-SPIT policy mechanism. The design of the Sphinx service has been formally verified for the absence of side-effects in the VoIP services (robustness), as well as for its DoS-resistance. We describe the principles and innovations of Sphinx, together with experimental results from pilot use cases.

关键词： SPIT VoIP CAPTCHA Botnet Security

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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