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International Conference on Electrical engineering/electronics, computer, Telecommunications and Information technology

作者： Somsanouk Pathoumvanh Phoumy Indahak Khamphet Bounnady Viengxay Viravong Department of Electronic and Telecommunication Faculty of Engineering National University of Laos Sisattanak Dist. Vientiane Lao P.D.R Department of Information Technology and Computer Faculty of Engineering National University of Laos Sisattanak Dist. Vientiane Lao P.D.R Department of Electronic and Electrical Engineering Vientiane - Hanoi Friendship Vocational College Saysetha Dist. Lao P.D.R

ISBN: (纸本)9781467397506

This paper proposes the method of implementing the ECG biometrics for person identification system by using the Arduino Microprocessor. The Lead-I ECG data had been self-setup and collected, then the achieved ECG features are investigated on the Arduino Uno R3 microprocessor and e-health sensor board. After that, the simulation processes for the identification process are begun with the selection Single Beat ECG and analyzed by the Continuous Wavelet Transform (CWT). Then RMS value of total energy of the wavelet coefficients of each P, QRS, and T segment is calculated. Next, the Fisher Linear discriminant analysis (FLDA) is applied to all set of RMS value for dimension reduction. Lastly the normalized Euclidean distance is implemented as the classifier. The experimental results demonstrate that: our proposed method is achieved the accuracy of classification with 96%.

关键词： ECG Biometrics Biometrics feature extraction Person Identification

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A Novel Online Bayes Classifier

A Novel Online Bayes Classifier

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Thi Thu Thuy Nguyen Tien Thanh Nguyen Xuan Cuong Pham Alan Wee-Chung Liew Yongjian Hu Tiancai Liang Chang-Tsun Li School of Information and Communication Technology Griffith University Australia Faculty of Computer Science and Engineering Water Resource University Hanoi Vietnam School of Electronic and Information Engineering South China University of Technology Guangzhou China Inst. of R&D GRG Banking Equip. Co. Ltd. Guangzhou China Department of Computer Science University of Warwick UK

We present VIGO, a novel online Bayesian classifier for both binary or multiclass problems. In our model, variational inference for multivariate Gaussian distribution technique is exploited to approximate the class conditional probability density functions of data in an online manner. Besides being a conservative learner with a low number of updates compared with many other popular algorithms, VIGO algorithm can be updated in a minibatch of an arbitrary size which makes it robust with noise data. Experiments over a large number of UCI datasets demonstrate the advantage of VIGO with many state-of-the-art methods presented in LIBOL - a prevalent library for online learning algorithms.

关键词： Classification algorithms Gaussian distribution Prediction algorithms Inference algorithms Data models Predictive models Approximation algorithms

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A compact multispectral image capture unit for deployment on drones

A compact multispectral image capture unit for deployment on...

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IEEE Instrumentation and Measurement technology Conference

作者： Ezekiel Bokolonga Martin Hauhana Nicholas Rollings David Aitchison Mansour H. Assaf Sunil R. Das Satyendra N. Biswas Voicu Groza Emil M. Petriu School of Engineering and Physics University of the South Pacific (USP) Suva Fiji Faculty of Engineering University of Ottawa Ottawa ON Canada Department of Computer Science Troy University Montgomery AL USA Department of Electrical and Electronic Engineering Ahsanullah University of Science and Technology Dhaka Bangladesh University of Ottawa Ottawa ON CA

ISBN: (纸本)9781467392211

The design, implementation and evaluation of a lightweight portable multispectral imaging system for deployment on drones is presented in this paper. The dual cameras used enable concurrent capture of red, green, blue (RGB) and near-infrared (NIR) images using simultaneous triggering. The images are stored in native file generated format. A global positioning system (GPS) connected to the camera's controllers enables geo-tagging of the images via exchangeable image file format (EXIF) metadata. A second-order polynomial has been utilized in order to align and test the RGB and NIR images to attain subpixel accuracy. The system was implemented in the matrix laboratory (MATLAB) and the developed algorithm was verified for accuracy considering different environmental conditions and scenarios.

关键词： Cameras Multispectral imaging Arrays Sensors Drones Global Positioning System

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Angular analysis of the B+ → K∗+µ+µ− decay

arXiv

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arXiv 2020年

作者： Aaij, R. Beteta, C. Abellán Ackernley, T. Adeva, B. Adinolfi, M. Afsharnia, H. Aidala, C.A. Aiola, S. Ajaltouni, Z. Akar, S. Albrecht, J. Alessio, F. Alexander, M. Albero, A. Alfonso Aliouche, Z. Alkhazov, G. Cartelle, P. Alvarez Amato, S. Amhis, Y. An, L. Anderlini, L. Andreianov, A. Andreotti, M. Archilli, F. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Bachmayer, M. Back, J.J. Baker, S. Rodriguez, P. Baladron Balagura, V. Baldini, W. Leite, J. Baptista Barlow, R.J. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Basels, J.M. Bassi, G. Batsukh, B. Battig, A. Bay, A. Becker, M. Bedeschi, F. Bediaga, I. Beiter, A. Belavin, V. Belin, S. Bellee, V. Belous, K. Belov, I. Belyaev, I. Bencivenni, G. Ben-Haim, E. Berezhnoy, A. Bernet, R. Berninghoff, D. Bernstein, H.C. Bertella, C. Bertolin, A. Betancourt, C. Betti, F. Bezshyiko, I. Bhasin, S. Bhom, J. Bian, L. Bieker, M.S. Bifani, S. Billoir, P. Birch, M. Bishop, F.C.R. Bizzeti, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Boelhauve, J.A. Garcia, O. Boente Boettcher, T. Boldyrev, A. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Borsuk, J.T. Bouchiba, S.A. Bowcock, T.J.V. Boyer, A. Bozzi, C. Bradley, M.J. Braun, S. Rodriguez, A. Brea Brodski, M. Brodzicka, J. Gonzalo, A. Brossa Brundu, D. Buonaura, A. Burr, C. Bursche, A. Butkevich, A. Butter, J.S. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calefice, L. Diaz, L. Calero Cali, S. Calladine, R. Calvi, M. Gomez, M. Calvo Magalhaes, P. Camargo Camboni, A. Campana, P. Quezada, A.F. Campoverde Capelli, S. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carli, I. Carniti, P. Akiba, K. Carvalho Vidal, A. Casais Casse, G. Cattaneo, M. Cavallero, G. Celani, S. Cerasoli, J. Chadwick, A.J. Chapman, M.G. Charles, M. Charpentier, P. Chatzikonstantinidis, G. Barajas, C.A. Chavez Chefdeville, M. Chen, C. Chen, S. Chernov, A. Chitic, S.-G. Chobanova, V. Cholak, S. Chrzaszcz, M. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China University of Chinese Academy of Sciences Beijing China Beijing China Institute of Particle Physics Central China Normal University Wuhan Hubei China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Université Clermont Auvergne CNRS IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS IN2P3 CPPM Marseille France Université Paris-Saclay CNRS IN2P3 IJCLab Orsay France Palaiseau France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy Universita degli Studi di Padova Universita e INFN Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma Tor Vergata Roma Italy INFN Sezione di Roma La Sapienza Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Warsaw Poland Horia Hulubei Nation

We present an angular analysis of the B+ → K∗+(→ KS0π+)µ+µ− decay using 9 fb−1 of pp collision data collected with the LHCb experiment. For the first time, the full set of CP-averaged angular observables is measured in intervals of the dimuon invariant mass squared. Local deviations from Standard Model predictions are observed, similar to those in previous LHCb analyses of the isospin-partner B0 → K∗0µ+µ− decay. The global tension is dependent on which effective couplings are considered and on the choice of theory nuisance parameters. © 2020, CC BY.

关键词： Hadrons

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Observation of the Bs0 → D∗±D decay

arXiv

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arXiv 2020年

作者： Aaij, R. Abellán Beteta, C. Ackernley, T. Adeva, B. Adinolfi, M. Afsharnia, H. Aidala, C.A. Aiola, S. Ajaltouni, Z. Akar, S. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Aliouche, Z. Alkhazov, G. Alvarez Cartelle, P. Amato, S. Amhis, Y. An, L. Anderlini, L. Andreianov, A. Andreotti, M. Archilli, F. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Bachmayer, M. Back, J.J. Baker, S. Baladron Rodriguez, P. Balagura, V. Baldini, W. Baptista Leite, J. Barlow, R.J. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Basels, J.M. Bassi, G. Batsukh, B. Battig, A. Bay, A. Becker, M. Bedeschi, F. Bediaga, I. Beiter, A. Belavin, V. Belin, S. Bellee, V. Belous, K. Belov, I. Belyaev, I. Bencivenni, G. Ben-Haim, E. Berezhnoy, A. Bernet, R. Berninghoff, D. Bernstein, H.C. Bertella, C. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M.O. Bezshyiko, I. Bhasin, S. Bhom, J. Bian, L. Bieker, M.S. Bifani, S. Billoir, P. Birch, M. Bishop, F.C.R. Bizzeti, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Boelhauve, J.A. Boente Garcia, O. Boettcher, T. Boldyrev, A. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Borsuk, J.T. Bouchiba, S.A. Bowcock, T.J.V. Boyer, A. Bozzi, C. Bradley, M.J. Braun, S. Brea Rodriguez, A. Brodski, M. Brodzicka, J. Brossa Gonzalo, A. Brundu, D. Buonaura, A. Burr, C. Bursche, A. Butkevich, A. Butter, J.S. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calefice, L. Calero Diaz, L. Cali, S. Calladine, R. Calvi, M. Calvo Gomez, M. Camargo Magalhaes, P. Camboni, A. Campana, P. Campora Perez, D.H. Campoverde Quezada, A.F. Capelli, S. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carli, I. Carniti, P. Carus, L. Carvalho Akiba, K. Casais Vidal, A. Casse, G. Cattaneo, M. Cavallero, G. Celani, S. Cerasoli, J. Chadwick, A.J. Chapman, M.G. Charles, M. Charpentier, P. Chatzikonstantinidis, G. Chavez Barajas, C.A. Chefdeville, M. Chen, C. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China University of Chinese Academy of Sciences Beijing China Beijing China Institute of Particle Physics Central China Normal University WuhanHubei China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Université Clermont Auvergne CNRS IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS IN2P3 CPPM Marseille France Université Paris-Saclay CNRS IN2P3 IJCLab Orsay France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy Universita degli Studi di Padova Universita e INFN Padova Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma Tor Vergata Roma Italy INFN Sezione di Roma La Sapienza Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Warsaw Poland Horia Hulubei National Institute

A search for the Bs0 → D∗±D decay is performed using proton-proton collision data at centre-of-mass energies of 7, 8 and 13 TeV collected by the LHCb experiment, corresponding to an integrated luminosity of 9 fb−1. The decay is observed with a high significance and its branching fraction relative to the B0 → D∗±D decay is measured to be (Equation presented), where the first uncertainty is statistical, the second systematic and the third is due to the uncertainty on the ratio of the Bs0 and B0 hadronisation fractions. © 2020, CC BY.

关键词： Tellurium compounds

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2017年 10148 LNCS卷 V-VIII页

作者： Hansen, Helle Hvid Murray, Sarah E. Sadrzadeh, Mehrnoosh Zeevat, Henk Faculty of Technology Policy and Management Delft University of Technology DelftZuid-Holland Netherlands Department of Linguistics Cornell University IthacaNY United States School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom Heinrich-Heine-Universität Düsseldorf Germany

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Analysis of inter-fade intervals at Ku-band in heavy rain region 6

Analysis of inter-fade intervals at Ku-band in heavy rain re...

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6th IEEE International RF and Microwave Conference, RFM 2015

作者： Mohamed Yunus, Mawarni Din, Jafri Lam, Hong Yin Jong, Siat Ling Department of Telecommunication Engineering Faculty of Electronic and Computer Engineering UTeM Hang Tuah Jaya Durian Tunggal Melaka76100 Malaysia Department of Communication Engineering Faculty of Electrical Engineering UTM Skudai Johor81310 Malaysia Department of Electrical Engineering Technology Faculty of Engineering Technology UTHM Parit Raja Johor86400 Malaysia Department of Communication Engineering Faculty of Electrical and Electronic Engineering UTHM Parit Raja Johor86400 Malaysia

ISBN: (纸本)9781467381703

This paper aims to present a statistical analysis on inter-fade interval in equatorial heavy rain region based on one year of Ku-band propagation measurement campaign carried out in Universiti Teknologi Malaysia (UTM), Johor, Malaysia. We first present the rain attenuation statistic from both temperate and tropical region (equatorial) followed by analysis on inter-fade intervals for different thresholds as well as their diurnal variation. Statistical knowledge of inter-fade interval has significant impact in designing earth-to-satellite communication system. © 2015 IEEE.

关键词： Satellite communication systems

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Real-time video enhancement on FPGA by self-enhancement technique 8

Real-time video enhancement on FPGA by self-enhancement tech...

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8th International Conference on Advanced Technologies for Communications, ATC 2015

作者： Sang, Nguyen Thanh Binh, Vu Nguyen Vinh, Truong Quang Lung, Vu Duc Faculty of Computer Engineering University of Information Technology VNU-HCM Ho Chi Minh city Viet Nam Faculty of Electrical and Electronic Engineering University of Technology VNU-HCM Ho Chi Minh city Viet Nam

ISBN: (纸本)9781467383745

This paper proposes two efficient methods along with a hardware structure for real-time video enhancement, which are specific for dedicated hardware platforms - where memory's size is limited and not totally suitable with an amount of complex computation. The presented approaches here rely on Self-enhancement technique and their important coefficients are suggested through a vast range of statistics that were made by systematically analyzing from implementations using Matlab. A hardware structure is, then, designed on FPGA based on the best proposed method. In order to demonstrate the quality of the proposed, a practical environment with a FPGA board and a real camera was also set up to evaluate. Such extensive experimental results indicate that both the proposed methods and hardware structure are effective, feasible and straightforward to apply into practice. © 2015 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Dual fuel injection piggyback controller system

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AIP Conference Proceedings 2017年第1期1883卷

作者： Siti Zarina Mohd. Muji Muhammad Amirul Hafeez Hassanal Chua King Lee Mas Fawzi Fathul Hakim Zulkifli 1Embedded Computing System (EmbCoS) Department of Computer Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Batu Pahat Johor Malaysia 2Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Batu Pahat Johor Malaysia 3Faculty of Engineering Technology Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Batu Pahat Johor Malaysia

Dual-fuel injection is an effort to reduce the dependency on diesel and gasoline fuel. Generally, there are two approaches to implement the dual-fuel injection in car system. The first approach is changing the whole injector of the car engine, the consequence is excessive high cost. Alternatively, it also can be achieved by manipulating the system’s control signal especially the electronic Control Unit (ECU) signal. Hence, the study focuses to develop a dual injection timing controller system that likely adopted to control injection time and quantity of compressed natural gas (CNG) and diesel fuel. In this system, Raspberry Pi 3 reacts as main controller unit to receive ECU signal, analyze it and then manipulate its duty cycle to be fed into the electronic Driver Unit (EDU). The manipulation has changed the duty cycle to two pulses instead of single pulse. A particular pulse mainly used to control injection of diesel fuel and another pulse controls injection of Compressed Natural Gas (CNG). The test indicated promising results that the system can be implemented in the car as piggyback *** article, which was originally published online on 14 September 2017, contained an error in the acknowledgment section. The corrected acknowledgment appears in the Corrigendum attached to the pdf.

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Short duration voice data speaker recognition system using novel fuzzy vector quantization algorithm

Short duration voice data speaker recognition system using n...

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IEEE Instrumentation and Measurement technology Conference

作者： Satyanand Singh Mansour H. Assaf Sunil R. Das Satyendra N. Biswas Emil M. Petriu Voicu Groza Department of Electronics and Communication Engineering St. Peter's Engineering College Hyderabad India School of Engineering and Physics University of the South Pacific (USP) Suva Fiji Faculty of Engineering University of Ottawa Ottawa ON Canada Department of Computer Science Troy University Montgomery AL USA Department of Electrical and Electronic Engineering Ahsanullah University of Science and Technology Dhaka Bangladesh

ISBN: (纸本)9781467392211

The performance of any speaker recognition system depends on the duration of the speech samples. The higher the number of feature vectors is, the better is the efficiency. A major contribution of this paper is in enhancing the identification accuracy of the speaker recognition system through minimization of the objective function and associated distortions. With nonlinear mapping, the sectional set fuzzy vector quantization with novel norm is utilized here as usual to form speaker's model in the high-dimensional feature space. However, during feature extraction, the traditional triangular shaped bins have been replaced by Gaussian shaped filter (GF) and Tukey filter (TF) for calculating the mel frequency cepstral coefficients (MFCCs). The paper presents experimental evaluation of three modeling techniques, viz. fuzzy c-means, fuzzy vector quantization (FVQ)2 and novel fuzzy vector quantization (NFVQ). On simulation, the NFVQ shows significant improvement in performance over fuzzy c-means and FVQ2. The experimental evidence demonstrates that for two seconds of training and one second of testing data, the efficiency of the NFVQ, with a minimum objective function of J m = 0.073 and distortion D = 4.334, for a set of 100 speakers chosen from the Texas Instruments and Massachusetts Institute of technology (TIMIT) database and self-collected database is 98.8% and 98.1%, respectively.

关键词： Training Linear programming Vector quantization Distortion Speaker recognition Clustering algorithms Feature extraction

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