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Science and Information Conference (SAI)

作者： Yee Mei Lim Aladdin Ayesh Martin Stacey Faculty of Applied Sciences and Computing Tunku Abdul Rahman University College Kuala Lumpur Malaysia Faculty of Technology De Montfort University Leicester United Kingdom

Much research has been done to detect human emotion using various computational methods, such as physiological measures and facial expression recognition. These methods are effective but they could be expensive or intrusive as special setups of equipments are needed. Some researchers have utilized non-intrusive methods by using mouse or keyboard analyses and presented comparable effectiveness in detecting human emotion. This paper investigates how both keyboard and mouse features can be combined to detect human stress, particularly cognitive stress induced by time pressure and mental arithmetic problems. The results show that the complexity of the mental arithmetic problem and time pressure affect user behaviour, mouse behaviour and keyboard behaviour significantly. This indicates that automatic analysis of human stress from keyboard and mouse input is potentially useful for providing adaptation in interactive system such as an e-learning system.

关键词： Mice Stress Keyboards Timing Correlation Complexity theory Educational institutions

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Structural and Magnetic Studies of SrFe 12 O 19 by Sol-gel Method

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Procedia Engineering 2014年 76卷 45-52页

作者： Yat Choy Wong James Wang Geok Bee Teh Faculty of Engineering and Industrial Sciences Swinburne University of Technology PO box 218 Hawthorn Victoria 3122 Australia Faculty of Applied Science and Computing Tunku Abdul Rahman University College 53300 Setapak Kuala Lumpur Malaysia

Strontium hexaferrite (SrFe 12 O 19 ) particles were prepared by sol gel method at two different calcination temperatures, namely, at 800 °C and 1000 °C. It was found that SrFe 12 O 19 prepared, at 800 °C showed a mixture of Fe 2 O 3 co-existed while at a higher temperature of 1000 °C, no other oxide impurities was detected. Superconducting quantum interference device (SQUID) was performed on both the sol-gel prepared samples. The coercivity for the low temperature prepared SrFe 12 O 19 showed a much higher value of 6250 Oe compared with the high temperature prepared SrFe 12 O 19 which was only 4500 Oe. In addition to the calcination temperature, the presence of Fe 2 O 3 also affected the coercivity of the hexaferrite particles. Thermogravimetric analysis (TGA) was performed at 950 °C on both the sol-gel samples and it was noted that the low temperature prepared SrFe 12 O 19 has a higher weight loss about 3.2% compared to the high temperature sample which has a much smaller weight loss of only 0.6%. The high weight loss was attributed by the breakdown of Fe 2 O 3 .

关键词： strontium iron oxide sol gel SQUID iron oxide.

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Software for the quantification of glistenings in intra-ocular lenses

Software for the quantification of glistenings in intra-ocul...

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World Congress on Engineering, WCE 2014

作者： Japunya, Teeranoot Jitpakdee, Parisut Uyyanonvara, Bunyarit Aimmanee, Pakinee Philippaki, Eva Hull, Chris Barman, Sarah Sirindhom International Institute of Technology Thammasat University Thailand Sirindhom International Institute of Technology Thammasat University Thailand Applied Vision Research Centre School of Health Sciences City University London Northampton Square United Kingdom Digital Imaging Research Centre Faculty of Science Engineering and Computing Kingston University Penrhyn Road United Kingdom

ISBN: (纸本)9789881925275

An intraocular lens (IOL) is implanted in the eye after a cataract surgery. When an IOL is in an aqueous environment, glistenings that are fluid-filled microvacuoles are often observed. Previously, studies of glistenings involved tedious work of manual glistenings labeling and rough estimation of glistening distribution. This paper proposes a software that can be used for automatic glistenings detection. The software evaluates glistenings appearance in a lens, separating the IOL lens into 3 zones and accurately computingthe average area, density and distribution to assist the user. The results are compared with clinicians hand-drawn ground truth for validation. The proposed GUI front-end is easy to use and very suitable for users who want accurate and quick glistenings detection. Numerical results can be achieved without manual drawing and rough estimation.

关键词： Intraocular lenses

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Neural network apply to predict aircraft trajectory for conflict resolution

Neural network apply to predict aircraft trajectory for conf...

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International Conference on Intelligent Systems: Theories and Applications (SITA)

作者： R. Kaidi M. Lazaar M. Ettaouil Faculty of Science and Technology Modeling and Scientific Computing Laboratory Fez MOROCCO National School of Applied Sciences Abdelmalek Essaadi University Tetouan MOROCCO

Today, Air Traffic keep increasing, for this raison, many research programs focus on collision avoidance technique. Aircraft trajectory prediction is a critical issue for Air Traffic Management (ATM). A safe and efficient prediction is a prerequisite for the implementation of automated tools that detect and solve conflicts between trajectories. Moreover, regarding the safety constraints, it could be more reasonable to predict intervals rather than precise aircraft positions. This paper a twofold objective; the first one, we develop an approach based on Artificial Neural Networks (ANNs), called Optimization of Multilayer Perceptron Architecture (OMPA), the second one, we use this approach to forecast trajectory in vertical plane to solve conflicts between two aircrafts in airspace.

关键词： Atmospheric modeling Nonhomogeneous media Neurons Aircraft Multilayer perceptrons Trajectory

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Architecture optimization model for the probabilistic self-organizing maps and classification

Architecture optimization model for the probabilistic self-o...

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International Conference on Intelligent Systems: Theories and Applications (SITA)

作者： Z. En-naimani M. Lazaar M. Ettaouil Faculty of Science and Technology Modeling and Scientific Computing Laboratory Fez MOROCCO National School of Applied Sciences Abdelmalek Essaadi University Tetouan MOROCCO

In the present paper we describe a recent approach of probabilistic self-organizing maps (PRSOM). The PRSOM become more and more interesting in many fields such as: pattern recognition, clustering, classification, speech recognition, data compression, medical diagnosis. The PRSOM give an estimation of the density probability function of the data, this density dependent on the parameters of the PRSOM, such as the architecture. Associated with a given problem, it is one of the most important research problems in the neural network research. Also, we implemented and evaluated the proposed method; the numerical results are powerful and show the practical interest of our approach.

关键词： Accuracy Pattern recognition Testing Neurons

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Abstracts from the Food Allergy and Anaphylaxis Meeting 2016 Abstracts

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CLINICAL AND TRANSLATIONAL ALLERGY 2017年第SUPPL 1期7卷 10-10页

作者： [Anonymous] Department of Pediatrics Children’s Hospital Roubaix France Division of Pulmonology and Allergology Department of Pediatrics Faculty of Medicine and Children’s Hospital Lille France Allergy Vigilance Network Vandoeuvre les Nancy France Université Lille 2 CHU Lille EA 2694 - Santé Publique: épidémiologie et qualité des soins Lille France Biostatistics Unit Maison Régionale de la Recherche Clinique CHRU Lille Lille France Department of Allergology Emile Durkheim Hospital Epinal France Centre d’Epidémiologie sur les Causes Médicales de Décès INSERM CHU de Bicêtre Le Kremlin-Bicêtre France The Allergy Vigilance Network University Hospital Nancy Nancy France Pediatric Pulmonology and Allergy Department Hôpital Jeanne de Flandre CHU Lille Lille France Charité - Universitätsmedizin Berlin Berlin Germany Institute for Social Medicine Epidemiology and Health Economics Charité - Universitätsmedizin Berlin Berlin Germany Institute of Social Medicine Epidemiology and Health Economics Charité Universitätsmedizin Berlin Berlin Germany Department of Dermatology and Allergology Comprehensive Allergy Center Charité Charité – Universitätsmedizin Berlin Berlin Germany Department of Dermatology and Allergy Allergie-Centrum-Charité Charité-Universiätsmedizin Berlin Berlin Germany Department of Dermatology and Allergology Comprehensive Allergy Center Charité Charité Universitätsmedizin Berlin Berlin Germany University Hospital Basel Basel Switzerland Allergy Unit Department of Dermatology University Hospital Basel Switzerland Universitätsklinikum Salzburg Salzburg Austria Department of Dermatology and Allergy Centre Odense Research Center for Anaphylaxis (ORCA) Odense University Hospital Odense Denmark Odense University Hospital Odense Denmark Serviço de ImunoalergologiaCentro Hospitalar de São João E.P.E. Porto Portugal GRIAC Research Institute University of Groningen University Medical Center Groningen Groningen The Netherlands Serviço de Imunoalergologia Centr

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Fletcher Reeves like CG formula approach on Broyden family update

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AIP Conference Proceedings 2014年第1期1602卷 527-532页

作者： A. Z. M. Sofi M. Mamat I. Mohd M. A. H. Ibrahim Department of Research and Commercialization Faculty of Science and Information Technology Kolej Universiti Islam Antarabangsa Selangor (KUIS) Malaysia Faculty of Informatics and Computing Universiti Sultan Zainal Abidin (UniSZA) Malaysia Department of Mathematics Faculty of Science and Technology Universiti Malaysia Terengganu (UMT) Malaysia School of Applied Science and Foundation Infrastructure University of Kuala Lumpur (IUKL) Malaysia

The Broyden family update in quasi-Newton method is known as one of the most efficient update method in solving unconstrained optimization. However, by using the standard search direction, sometimes the algorithm may lead to the failure for some complicated problems and this scenario worsen when the cases of the initial points selected are far away from the minimizer. To overcome this scenario, we proposed a new search direction by using the Fletcher Reeves formula in the conjugate gradient method to be fit with the new search direction. We proved that this new search direction globally converge and positively affect the Broyden family update in quasi-Newton method.

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An improved stopping criterion for anisotropic diffusion

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AIP Conference Proceedings 2015年第1期1648卷

作者： Maryam Khanian Michael Breuß Ali Davari *Institute for Applied Mathematics and Scientific Computing Brandenburg University of Technology (BTU) Cottbus-Senftenberg Platz der Deutschen Einheit 1 HG 03046 Cottbus Germany †Department of Mathematics Faculty of Mathematical Sciences and Statistics University of Isfahan Isfahan Iran

Anisotropic diffusion is a time-dependent process in image processing useful for denoising and related tasks. applied at an input image, the latter is gradually simplified in such a way that edges tend to be preserved. Meaningful image structures can then be detected depending on the diffusion time and the spatial scale of a structure. One of the most important points in anisotropic diffusion filtering is introducing a stopping criterion for the time evolution as this defines the quality of output images. In this paper, we follow the approach of a recent method by Ilyevsky and Turkel for determining a useful stopping time. While following the same basic idea, we simplify the underlying algorithm and improve at the same time the quality of filtering results significantly. The superiority of our scheme is validated by several numerical experiments with standard test images in the field.

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Global convergence analysis of a new nonlinear conjugate gradient coefficient with strong Wolfe line search

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AIP Conference Proceedings 2015年第1期1660卷

作者： Awad Abdelrahman Mustafa Mamat Mohd Rivaie Osman Omer aDepartment of Mathematics Faculty of Science and Technology Universiti Malaysia Terengganu (UMT) Malaysia bComputational & Applied Mathematics Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Campus Tembila 22200 Besut Malaysia cDepartment of Computer Sciences and Mathematics Universiti Teknologi MARA Terengganu Campus Kuala Terengganu Malaysia

Nonlinear conjugate gradient (CG) methods are the most important method for solving large-scale unconstrained optimization problems. Many studies and modifications have been conducted recently to improve this method. In this paper, a new class of conjugate gradient coefficients (βk) with a new parameter m=‖gk‖/‖gk−1‖ that possess global convergence properties is presented. The global convergence and sufficient decent property result is established using inexact line searches to determine the (αk>0) is a step size of CG methods. Numerical result shows that the new formula is superior and more efficient when compared to other CG coefficients.

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