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Comparison of frequency domain methods in feature extraction 11

Comparison of frequency domain methods in feature extraction

11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM 2014 / MFPT 2014

作者： Nikula, Riku-Pekka Karioja, Konsta Peršin, Gabrijel Faculty of Technology Control engineering University of Oulu P.O. Box 4300 Finland Faculty of Technology Mechatronics and machine diagnostics research group University of Oulu P.O. Box 4200 Finland School of Engineering Applied mathematics and computing group Cranfield university Cranfield BedfordshireMK43 0AL United Kingdom

Frequency spectrum is widely used to determine frequencies present in a signal, but it fails to extract information regarding deviations from Gaussianity and presence of phase relations. Higher order spectra, on the other hand, contain such information and have shown large potential in numerous disciplines including vibration based diagnostics. In this paper, the frequency spectrum and five approaches to the estimation of bicoherence are used to extract condition-specific features from vibration signals. The laboratory experiments were done using a test rig which includes an electric motor coupled to a water pump via a bevel gear. Acceleration was measured from the pump in different conditions which include normal operation, mechanical looseness, misalignment and cavitation. The feasibility of the tested approaches to the feature extraction problem is discussed.

关键词： Feature extraction

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Detecting emotional stress during typing task with time pressure

Detecting emotional stress during typing task with time pres...

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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 Kuala Lumpur Malaysia Faculty of Technology De Montfort University Leicester United Kingdom

Automated stress detection is important in developing adaptive e-learning systems. Empirical evidence suggests that mouse dynamics and keyboard dynamics analyses can be both effective in user behaviour modelling as well as emotion detection compared to physiological measures and facial expression recognitions, and yet they are far less expensive and considered non-intrusive. This paper investigates how mouse dynamics and keyboard dynamics can be affected by emotional stress, particularly stress induced by time pressure, text length and language familiarity. Our research findings show that longer text and unfamiliar language raise users' stress perceptions. Demanding job such as long typing task could result in anomalous behaviours once the users have lost motivation. Language familiarity mainly affects keyboard behaviour but text length change mouse behaviour. This shows that there is a good potential of developing an adaptive e-learning system by detecting learners' emotional stress from keyboard and mouse input.

关键词： Mice Stress Keyboards Timing Electronic learning Educational institutions Stress measurement

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Detecting cognitive stress from keyboard and mouse dynamics during mental arithmetic

Detecting cognitive stress from keyboard and mouse dynamics ...

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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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The effects of menu design on users' emotions, search performance and mouse behaviour

The effects of menu design on users' emotions, search perfor...

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IEEE International Conference on Cognitive Informatics

One should not ignore the fact that affect (or emotion) plays an important role in cognition and learning. For instance, badly designed interface brings negative impact on user's performance if the user does not find enjoyment in his or her overall experience with the system. Automatic analyses of user behaviour in adaptive e-learning system development is important and it would be good to have an effective yet flexible computation metrics to learn user's emotion, so that necessary adaptation could be provided to enhance user experience. The introduction of keyboard and mouse analyses shed a light to the development of a non-intrusive and inexpensive automated emotion detection method, as these peripherals are part of the computer system. This research investigates the effects of menu design on users' emotion, search task performance and their mouse behaviours. The results show that the effects of menu design on users' search task performance and their mouse behaviours are statistically significant. Menu design factors do affect users' emotions, which they feel uncomfortable with bad combination of colours, smaller font size, text without code, abbreviated text, use of ambiguous term, random display and the need to scroll. However, their discomfort with the bad menu design does not necessarily affect their search job performance.

关键词： Mice Color Organizations Web pages Navigation Image color analysis Computers

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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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