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International Conference on Computing technology and Information Management (ICCTIM)

作者： N.S.A.M Taujuddin Rosziati Ibrahim Suhaila Sari Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Johor Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja Johor Malaysia

The process before quantization stage in compression process is a very crucial stage espeacially in application that require a high compression ratios. So, in this paper, we propose a new method of image compression that is based on reducing the wavelet coefficients in wavelet details subbands. It is based on the concept of local subband wavelet coefficients minimization to find the optimum threshold value for wavelet coefficients in each detail subbands. The proposed method decomposed the image into LL (low resolution approximate image), HL (intensity variation along column, horizontal edge), LH (intensity variation along row, vertical edge) and HH (intensity variation along diagonal). The coefficients in details subband retrived from the decomposition process is then manipulated in such a way that the nearly zero coefficient is discarded while the rest is remained. This process will reduce the unsignificant wavelet coefficient that leads to a great compression ratio while preserving the informative data to produce a good image quality as can be seen in the experiment done.

关键词： Wavelet coefficients Image coding Discrete wavelet transforms Image edge detection Image resolution Standards Signal resolution

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Detection of root knot nematodes in microscopy images 2

Detection of root knot nematodes in microscopy images

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2nd International Conference on Bioimaging, BIOIMAGING 2015

作者： Al-Tam, Faroq Dos Anjos, António Bellafiore, Stephane Shahbazkia, Hamid Reza Department of Electronic and Informatics Engineering University of Algarve Faro Portugal Faculty of Computer Science and Information Technology University of Thamar Dhamar Yemen ISMAT Portimão Portugal CCMAR-CIMAR Laboratório Associado University of Algarve Faro8005-139 Portugal RPB IRD Montpellier France LMI RICE Hanoi Viet Nam MIVEGEC IRD Montpellier France

ISBN: (纸本)9789897580727

Object detection in microscopy image is essential for further analysis in many applications. However, images are not always easy to analyze due to uneven illumination and noise. In addition, objects may appear merged together with debris. This work presents a method for detecting rice root knot nematodes in microscopy images. The problem involves four subproblems which are dealt with separately. The uneven illumination is corrected via polynomial fitting. The nematodes are then highlighted using mathematical morphology. A binary image is obtained and the microscope lines are removed. Finally, the detected nematodes are counted after thresholding the non-nematode particles. The results obtained from the performed tests show that this is a reliable and effective method when compared to manual counting.

关键词： Mathematical morphology

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Employing an Enhanced Interval Approach to encode words into Linear General Type-2 fuzzy sets for Computing With Words applications

Employing an Enhanced Interval Approach to encode words into...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Aysenur Bilgin Hani Hagras Daniyal Alghazzawi Areej Malibari Mohammed J. Alhaddad School of Computer Science and Electronic Engineering University of Essex Colchester UK Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia King Abdulaziz University Jeddah SA

In 1996, Zadeh coined Computing With Words (CWWs) to be a methodology in which words are used instead of numbers for computing and reasoning. One of the main challenges which faced the CWWs paradigm has been modelling words adequately. Mendel has pointed out that the CWWs paradigm should employ type-2 fuzzy logic to model words. This paper proposes employing an Enhanced Interval Approach (EIA) to create Linear General Type-2 (LGT2) fuzzy sets from Interval Type-2 (IT2) fuzzy sets to encode words for CWWs applications. We have performed experiments on 18 words belonging to 3 different linguistic variables (having 6 linguistic terms each). Interval data has been collected from 17 subjects and 18 linguistic terms have been modeled with IT2 fuzzy sets using EIA. The proposed conversion approach uses several key points within the parameters of IT2 fuzzy sets to redesign the linguistic variable using LGT2 fuzzy sets. Both IT2 and LGT2 fuzzy sets have been evaluated within a CWWs Framework, which aims to mimic the ability of humans to communicate and manipulate perceptions via words. The comparison results show that LGT2 fuzzy sets can be better than IT2 fuzzy sets in mimicking human reasoning as well as learning and adaptation since the progressive Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) values for LGT2 based CWWs Framework converge faster and are lower than those for IT2 based CWWs Framework.

关键词： Fuzzy sets Pragmatics Fuzzy logic Uncertainty Semantics Cognition Computational modeling

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Erratum to: Measurement of the CKM angle γ using B ± → DK ± with D → K S 0 π + π −, K S 0 K + K − decays

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Journal of High Energy Physics 2018年第10期2018卷 1-7页

作者： Aaij, R. Adeva, B. Adinolfi, M. Aidala, C. A. Ajaltouni, Z. Akar, S. Albicocco, P. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Ali, S. Alkhazov, G. Alvarez Cartelle, P. Alves, A. A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J. E. Appleby, R. B. Archilli, F. d’Argent, P. Arnau Romeu, J. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Bachmann, S. Back, J. J. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R. J. Barsuk, S. Barter, W. Baryshnikov, F. Batozskaya, V. Batsukh, B. Battista, V. Bay, A. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L. J. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M. O. van Beuzekom, M. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bifani, S. Billoir, P. Birnkraut, A. Bizzeti, A. Bjørn, M. Blago, M. P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Bocci, V. Boente Garcia, O. Boettcher, T. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T. J. V. Bozzi, C. Braun, S. Brodski, M. Brodzicka, J. Brundu, D. Buchanan, E. Buonaura, A. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D. H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M. G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chekalina, V. Chen, C. Chen, S. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Clarke, P. E. L. Clemencic, M. Cliff, H. V. Closier, J. Coco, V. Cogan, J. Cogneras, E. Cojocariu, L. Collins, P. Colombo, T. Comerma-Montells, A. Contu, A. Coombs, G. Coquereau, S. Corti, G. Corvo, M. Costa Sobral, C. M. Couturier, B. Cowan, G Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom University of Michigan Ann Arbor United States Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France University of Cincinnati Cincinnati United States INFN Laboratori Nazionali di Frascati Frascati Italy Fakultät Physik Technische Universität Dortmund Dortmund Germany European Organization for Nuclear Research (CERN) Geneva Switzerland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Petersburg Nuclear Physics Institute (PNPI) Gatchina Russia Imperial College London London United Kingdom Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil INFN Sezione di Padova Padova Italy LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Center for High Energy Physics Tsinghua University Beijing China INFN Sezione di Firenze Firenze Italy Institute of Physics Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland INFN Sezione di Ferrara Ferrara Italy Università di Ferrara Ferrara Italy University of Maryland College Park United States School of Physics and Astronomy University of Manchester Manchester United Kingdom Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Institute for High Energy Physics (IHEP) Protvino Russia Syracuse University Syracuse United States Yandex School of Data Analysis Moscow Russia Physik-Institut Universität Zürich Zürich Switzerland Department of Physics University of Warwick Coventry United Kingdom Laboratoire Leprince-Ringuet Palaiseau France National University of Science and Technology “MISIS” Moscow Russia National Center

The B + and B − labels of the confidence regions in figure 10 of the original paper [1] were erroneously swapped. The corrected figure is shown in figure 10.

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Fuzzy Logic Control and Fault Detection in Centralized Chilled Water System

Fuzzy Logic Control and Fault Detection in Centralized Chill...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Noor Asyikin Sulaiman Mohd Fauzi Othman Hayati Abdullah Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Skudai Johor Malaysia Electronic System Engineering Department Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Kuala Lumpur Malaysia Centre of Electrical Energy System (CEES) Universiti Teknologi Malaysia Skudai Johor Malaysia

The objective of this work is to develop and implement a fuzzy controller and fuzzy fault detection for centralized chilled water system. Both controller and fault detector are implemented in supply air dampers of air handling unit (AHU). A few cases are tested in this paper to investigate the effectiveness of the developed systems. All simulation is carried out using MATLAB/SIMULINK. Results illustrate that the fuzzy controller is able to maintain rooms' temperature according to desired temperature whereas the fault detection can detect unusual behavior in supply air flow rate.

关键词： Shock absorbers Fault detection Fuzzy logic Water heating Niobium Atmospheric modeling

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Green small cell planning in smart cities under dynamic traffic demand

Green small cell planning in smart cities under dynamic traf...

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IEEE Conference on computer Communications Workshops, INFOCOM Wksps

作者： Li Zhou Xiping Hu Chunsheng Zhu Edith C.-H. Ngai Shan Wang Jibo Wei Victor C.M. Leung College of Electronic Science and Engineering National University of Defense Technology Changsha China The University of British Columbia Faculty of Medicine Vancouver BC CA Department of Electrical and Computer Engineering The University of British Columbia Vancouver BC Canada Department of Information Technology Uppsala University Uppsala Sweden

In smart cities, cellular network plays a crucial role to support connectivity anywhere and anytime. However, the communication demand brought by applications and services is hard to predict. Traffic in cellular networks might fluctuate heavily over time to time, which causes burden and waste under different traffic states. Recently, small cell was proposed to enhance spectrum efficiency and energy efficiency in cellular networks. However, how green the small cell network can be is still a question because of the accompanying interference. To meet this challenge, new green technologies should be developed. In this paper, we propose a green small cell planning scheme considering dynamic traffic states. First, we predefine a set of candidate locations for base stations (BSs) in a geographical area and generate a connection graph which contains all possible connections between BSs and user equipments (UEs). Then we adopt a heuristic to switch off small cell BSs (s-BSs) and update BS-UE connections iteratively. Finally we obtain a cell planning solution with energy efficiency without reducing spectrum efficiency and quality-of-service (QoS) requirements. The simulation results show that our dynamic small cell planning scheme has low computational complexity and achieves a significant improvement in energy efficiency comparing with the static cell planning scheme.

关键词： Planning Switches Interference Power demand Smart cities Quality of service Conferences

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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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Single image rain streaks removal based on self-learning and structured sparse representation

Single image rain streaks removal based on self-learning and...

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IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

作者： Shujian Yu Weihua Ou Xinge You Yi Mou Xiubao Jiang Yuanyan Tang Department of Electrical and Computer Engineering University of Florida Gainesville FL USA School of Mathematics and Computer Science Guizhou Normal University Guiyang Guizhou China School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan Hubei China Faculty of Science and Technology University of Macau Macau China

ISBN: (纸本)9781479919499

Rain streaks removal from single image is a challenging problem for image processing. This paper proposed a novel algorithm for rain streaks removal to single image based on a self-learning framework and structured sparse representation. More precisely, our algorithm firstly segments and categorizes input image into “rain streaks” regions and “non-rain geometric” regions via texture analysis. Meanwhile, we also decompose input image into high-frequency (HF) and low-frequency (LF) parts with bilateral filtering. Followed that, we introduced our newly proposed structured dictionary learning to decompose HF part into “rain texture” details and “non-rain geometric” details, where patches for training rain and non-rain sub-dictionaries are automatically selected from “rain streaks” and “non-rain geometric” regions. Finally, we combine LF part with non-rain geometric details to get rain-streaks-removal image. Experiments demonstrate the superiority of our proposed algorithm.

关键词： Rain Dictionaries Image segmentation Algorithm design and analysis Snow Image decomposition

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Kernel normalized mixed-norm algorithm for system identification

Kernel normalized mixed-norm algorithm for system identifica...

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International Joint Conference on Neural Networks (IJCNN)

作者： Shujian Yu Xinge You Kexin Zhao Weihua Ou Yuanyan Tang Department of Electrical and Computer Engineering University of Florida Gainesville FL USA School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan Hubei China School of Mathematics and Computer Science Guizhou Normal University Guiyang Guizhou China Faculty of Science and Technology University of Macau Macau China

ISBN: (纸本)9781479919611

Kernel methods provide an efficient nonparametric model to produce adaptive nonlinear filtering (ANF) algorithms. However, in practical applications, standard squared error based kernel methods suffer from two main issues: (1) a constant step size is used, which degrades the algorithm performance in non-stationary environment, and (2) additive noises are assumed to follow Gaussian distribution, while in practice the noises are generally non-Gaussian and follow other statistical distributions. To address these two issues simultaneously, this paper proposes a novel kernel normalized mixed-norm (KNMN) algorithm. Compared to the standard squared error based kernel methods, the KNMN algorithm extends the linear mixed-norm adaptive filtering algorithms to Reproducing Kernel Hilbert Space (RKHS) and introduces a normalized step size as well as adaptive mixing parameter. We also conduct the mean square convergence analysis and demonstrate the desirable performance of the KNMN algorithm in solving the system identification problem.

关键词： Noise Adaptation models

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127.5 kbps Transmission using OLED with 7 kHz 3dB modulation bandwidth in visible light communication system

127.5 kbps Transmission using OLED with 7 kHz 3dB modulation...

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International Conference on Advanced Technologies for Communications, ATC

作者： Pham Quang Thai Nguyen Trung Thanh Shimamoto Shigeru Jiang Liu Zhong Wende Faculty of Electronics and Electrical Engineering Ho Chi Minh city University of Technology Ho Chi Minh Vietnam Department of Communications and Computer Institute Waseda University Tokyo Japan School of Electrical & Electronic Engineering Nanyang Technological University Singapore Singapore

In this paper, a visible light communications (VLC) system prototype using OLED was realized and tested. Using simple DPPM technique and comparator, our prototype was able to transmit up to 127.5 kbps data rate using an OLED with only 7 kHz 3 dB modulation bandwidth. Exploiting the frequency response of OLED, we were able to achieve a better data rate to modulation bandwidth ratio than other recent reports using OLED for VLC.

关键词： Organic light emitting diodes Modulation Bandwidth Prototypes Bit rate Bit error rate Visible light communication

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