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1st International Conference on Emerging Electronic Solutions for IoT, ICEESI 2017

作者： Daud, N.N. Osman, M.N. Kamarudin, M.R. Kram, A.R. Azizan, M.M. School of Computer and Communication Engineering Universiti Malaysia Perlis Arau-Perlis02600 Malaysia Cranfield Defence and Security Cranfield University United Kingdom Faculty of Engineering Department of Electrical Electronic University Malaysia Sarawak Malaysia School of Electrical System Engineering Universiti Malaysia Perlis Arau-Perlis02600 Malaysia

This paper proposes a compact antenna design for wireless communication system that can operate at dual band frequencies which are 24.25 GHz and 38 GHz. The antenna with an overall size of 6.3 mm X 6.0 mm is printed on RogersRT5880 type of substrate with a thickness of 0.787 mm. The simulated reflection coefficient result is © The Authors, published by EDP Sciences, 2017.

关键词： computer software

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An adaptive web-based framework for mobile telemonitoring systems

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2017年第1期11卷 40-52页

作者： Setyono, A. Haryanto, H. Astuti, E.Z. Department of Informatics Engineering majoring in computer system and data communication Faculty of Computer Science Dian Nuswantoro University Semarang50131 Indonesia Dian Nuswantoro University Semarang India Department of Informatics Engineering majoring in intelligent system Faculty of Computer Science Dian Nuswantoro University Semarang50131 Indonesia

Mobile long-distance web-based monitoring systems will become increasingly common in the near future. This paper focuses on the development of a healthcare telemonitoring system that uses an adaptive web-based framework that monitors several parameters simultaneously. The proposed system simplifies patient and physician access to the healthcare system. It combines many healthcare service functions for a long distance monitoring system. The system immediately sends blood pressure, blood sugar, respiration, heartbeat, pulse, body temperature and transmits them to the clinic's server. All of these parameters can be inputted by patients themselves while the patients are far from the clinical environment and forwarded to the physician for further diagnosis and medical treatment. The advantages of the proposed system are simple patient access through the internet and simple connectivity to a physician from remote areas. A smartphone with multimedia features and an internet connection in a mobile environment can be used to perform mobile computing anywhere and anytime. It keeps real-time recording and monitoring of physiological parameters of patients at a low cost and at home. The physiological parameters of the patient are enhanced by multimedia data. By using the good quality of the multimedia data, the physician can be more precise when providing a diagnosis or medical treatment to the patient. The proposed framework can be used to develop a practical web-based mobile telemonitoring system in a mobile environment.

关键词： Blood pressure

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Investigation on the dispersion tolerance in dual-drive MZM-based DAC-less optical PAM4 transmission

Investigation on the dispersion tolerance in dual-drive MZM-...

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Optical Fiber communication Conference, OFC 2018

作者： Zhang, Kuo Zhuge, Qunbi Xin, Haiyun Xing, Zhenping Li, Rui Xiang, Meng Fan, Sujie Yi, Lilin Hu, Weisheng Plant, David V. State Key Laboratory of Advanced Optical Communication System and Networks Shanghai Jiao Tong University Shanghai200240 China Department of Electrical and Computer Engineering McGill University MontrealQCH3A 2A7 Canada Ciena Corporation OttawaONK2K 0L1 Canada

We investigate the chirp characteristics of the two PAM4 generation methods based on dual-drive MZM. Prominent difference in transmission performance between the two methods is experimentally shown for 112Gb/s PAM4 si... 详细信息

ISBN: (纸本)9781943580385

关键词： Chromatic dispersion

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A Pattern Division Multiple Access Scheme with Low Complexity Iterative Receiver for 5G Wireless communication systems

A Pattern Division Multiple Access Scheme with Low Complexit...

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IEEE Vehicular Technology Conference

作者： Kai Zhang Jin Xu Changchuan Yin Chunyu Pan Weiqiang Tan Guixian Xu Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing 100876 P. R. China Zhengzhou University of Light Industry School of Computer and Communication Engineering Zhengzhou 450001 P. R. China Guangzhou University School of Computer Science and Educational Software Guangzhou 510006 P. R. China Aalborg University Department of Electronic Systems Aalborg 9400 Denmark

ISBN: (纸本)9781538663592;9781538663585

Non-orthogonal multiple access schemes with higher spectral efficiency and the capability of accessing more users than orthogonal multiple access (OMA) scheme is preferred for the fifth generation (5G) wireless networks. In this work, a non-orthogonal transmission scheme called pattern division multiple access (PDMA) is proposed for the 5G wireless communication systems. Two pattern matrices are proposed for 150% and 200% overloaded PDMA systems. Then, a low complexity symbol-wise belief propagation iterative detection and decoding (BPIDD) algorithm for multiple user detection is proposed. Numerical results and analysis provided by utilizing extrinsic information transfer chart show that the proposed scheme outperforms the traditional OMA systems significantly, and the performance of the proposed scheme is better than that of the existing schemes up to 1 dB. Finally, simulation results show that the proposed scheme is superior to the existing schemes and the proposed BPIDD algorithm is better than that of the BP algorithm over 0.5 dB.

关键词： 5G mobile communication iterative decoding matrix algebra multi-access systems multiuser detection Multi access systems matrix algebra Multiuser detection Iterative decoding multiple access Wireless communication systems Scheme iterative receiver spectral efficiency Information Transfer

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Robust Designs of Beamforming and Power Splitting for Distributed Antenna systems with Wireless Energy Harvesting

arXiv

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arXiv 2018年

作者： Zhu, Zhengyu Huang, Sai Chu, Zheng Zhou, Fuhui Zhang, Di Lee, Inkyu School of Information Engineering Zhengzhou University Zhengzhou450001 China School of Information and Communication Engineering Beijing University of posts and telecommunications Beijing China University of Surrey GuildfordGU2 7XH United Kingdom Information Engineering School Nanchang University Nanchang China School of Information Engineering Zhengzhou University Zhengzhou450-001 China Information System Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul151-744 Korea Republic of School of Electrical Engineering Korea University Seoul Korea Republic of

In this paper, we investigate a multiuser distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information (CSI). In this system, a distributed antenna port with multiple antennas supports a set of mobile stations who can decode information and harvest energy simultaneously via a power splitter. To design robust transmit beamforming vectors and the power splitting (PS) factors in the presence of CSI errors, we maximize the average worst-case signal-to-interference-plus-noise ratio (SINR) while achieving individual energy harvesting constraint for each mobile station. First, we develop an efficient algorithm to convert the max-min SINR problem to a set of "dual" min-max power balancing problems. Then, motivated by the penalty function method, an iterative algorithm based on semi-definite programming (SDP) is proposed to achieve a local optimal rank-one solution. Also, to reduce the computational complexity, we present another iterative scheme based on the Lagrangian method and the successive convex approximation (SCA) technique to yield a suboptimal solution. Simulation results are shown to validate the robustness and effectiveness of the proposed algorithms. Copyright © 2018, The Authors. All rights reserved.

关键词： Energy harvesting

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A Virtual CPU Scheduling Model for I/O Performance in Paravirtualized Environments 17

A Virtual CPU Scheduling Model for I/O Performance in Paravi...

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Proceedings of the International Conference on Research in Adaptive and Convergent systems

作者： Jinman Jung Jisu Park Seoyeon Kim Mhanwoo Heo Jiman Hong Department of Information and Communication Engineering Hannam University Daejeon Republic of Korea Department of Unmanned System Engineering Hannam University Daejeon Republic of Korea School of Computer Science and Engineering Soongsil University Seoul Republic of Korea

ISBN: (纸本)9781450350273

Paravirtualization manages virtual machines and virtual resources efficiently by the communication between the virtualization layer and modified guest OSes. In a paravirtual environment, the I/O response of a virtual machine is hard to approach that of a native OS because a virtual I/O is asynchronously processed by the virtualization layer without hardware supports. Virtual CPU scheduling algorithms have been proposed to improve the I/O performance. However, existing solutions lack the I/O fairness when virtual machines have various or skewed of workloads because they put the I/O performance of latency-sensitive vCPUs before vCPUs that are not. In this paper, we design a credit based vCPU scheduling model for I/O performance of virtual machines by using a loan and repayment system. Credit rating of each virtual CPU is periodically evaluated by observing its resource consumption pattern and a virtual CPU cannot be allocated more resources until the repayment is finished.

关键词： credit scheduler Xen hypervisor I/O virtualization virtual machine monitor Performance

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High-depth African genomes inform human migration and health (vol 586, pg 741, 2020)

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NATURE 2021年第7856期592卷 E26-E26页

作者： Choudhury, Ananyo Aron, Shaun Botigue, Laura R. Sengupta, Dhriti Botha, Gerrit Bensellak, Taoufik Wells, Gordon Kumuthini, Judit Shriner, Daniel Fakim, Yasmina J. Ghoorah, Anisah W. Dareng, Eileen Odia, Trust Falola, Oluwadamilare Adebiyi, Ezekiel Hazelhurst, Scott Mazandu, Gaston Nyangiri, Oscar A. Mbiyavanga, Mamana Benkahla, Alia Kassim, Samar K. Mulder, Nicola Adebamowo, Sally N. Chimusa, Emile R. Muzny, Donna Metcalf, Ginger Gibbs, Richard A. Matovu, Enock Bucheton, Bruno Hertz-Fowler, Christiane Koffi, Mathurin Macleod, Annette Mumba-Ngoyi, Dieudonne Noyes, Harry Nyangiri, Oscar A. Simo, Gustave Simuunza, Martin Rotimi, Charles Ramsay, Michele Choudhury, Ananyo Choudhury, Ananyo Aron, Shaun Botigue, Laura Sengupta, Dhriti Botha, Gerrit Bensellak, Taoufik Wells, Gordon Kumuthini, Judit Shriner, Daniel Fakim, Yasmina J. Ghoorah, Anisah W. Dareng, Eileen Odia, Trust Falola, Oluwadamilare Adebiyi, Ezekiel Hazelhurst, Scott Mazandu, Gaston Nyangiri, Oscar A. Mbiyavanga, Mamana Benkahla, Alia Kassim, Samar K. Mulder, Nicola Adebamowo, Sally N. Chimusa, Emile R. Rotimi, Charles Ramsay, Michele Adeyemo, Adebowale A. Lombard, Zane Hanchard, Neil A. Adebamowo, Clement Agongo, Godfred Boua, Romuald P. Oduro, Abraham Sorgho, Hermann Landoure, Guida Cisse, Lassana Diarra, Salimata Samassekou, Oumar Anabwani, Gabriel Matshaba, Mogomotsi Joloba, Moses Kekitiinwa, Adeodata Mardon, Graeme Mpoloka, Sununguko W. Kyobe, Samuel Mlotshwa, Busisiwe Mwesigwa, Savannah Retshabile, Gaone Williams, Lesedi Wonkam, Ambroise Moussa, Ahmed Adu, Dwomoa Ojo, Akinlolu Burke, David Salako, Babatunde O. Matovu, Enock Bucheton, Bruno Hertz-Fowler, Christiane Koffi, Mathurin Macleod, Annette Mumba-Ngoyi, Dieudonne Noyes, Harry Nyangiri, Oscar A. Simo, Gustave Simuunza, Martin Awadalla, Philip Bruat, Vanessa Gbeha, Elias Adeyemo, Adebowale A. Lombard, Zane Hanchard, Neil A. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa School of Electrical and Information Engineering University of the Witwatersrand Johannesburg South Africa Division of Human Genetics National Health Laboratory Service and School of Pathology Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa Navrongo Health Research Centre Navrongo Ghana Clinical Research Unit of Nanoro Institut de Recherche en Sciences de la Sante Bobo-Dioulasso Burkina Faso Center for Research in Agricultural Genomics (CRAG) Plant and Animal Genomics Program CSIC-IRTA-UAB-UB Barcelona Spain Computational Biology Division and H3ABioNet Department of Integrative Biomedical Sciences IDM University of Cape Town Cape Town South Africa System and Data Engineering Team Abdelmalek Essaadi University ENSA Tangier Morocco Centre for Proteomic and Genomic Research (CPGR) Cape Town South Africa South African National Bioinformatics Institute University of the Western Cape Bellville South Africa Africa Health Research Institute Durban South Africa Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA Department of Agriculture and Food Science Faculty of Agriculture University of Mauritius Reduit Mauritius Department of Digital Technologies Faculty of Information Communication & Digital Technologies University of Mauritius Reduit Mauritius Department of Public Health and Primary Care University of Cambridge Cambridge UK Institute of Human Virology Nigeria Abuja Nigeria Department of Epidemiology and Public Health University of Maryland School of Medicine University of Maryland Baltimore Baltimore MD USA University of Maryland Greenebaum Comprehensive Cancer Center University of Maryland School of Medicine University of Maryland Baltimore Baltimore MD USA Institute of Human Virology and Greeneba

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Low-noise 750-MHz spaced Yb:fiber frequency combs

arXiv

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arXiv 2018年

作者： MA, YUXUAN XU, BO ISHII, HIROTAKA MENG, FEI NAKAJIMA, YOSHIAKI MATSUSHIMA, ISAO SCHIBLI, THOMAS R. ZHANG, ZHIGANG MINOSHIMA, KAORU 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Engineering and Computer Science Peking University Beijing100871 China Project 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Department of Physics University of Colorado at Boulder 2000 Colorado Avenue BoulderCO80309-0390 United States

Growing interest of frequency combs is stimulating the development of high repetition rate combs. However, increasing the repetition rate to ∼GHz levels while maintaining tight phase locking to an optical reference w... 详细信息

关键词： Fibers

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The Liver Tumor Segmentation Benchmark (LiTS)

arXiv

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arXiv 2019年

作者： Bilic, Patrick Christ, Patrick Li, Hongwei Bran Vorontsov, Eugene Ben-Cohen, Avi Kaissis, Georgios Szeskin, Adi Jacobs, Colin Mamani, Gabriel Efrain Humpire Chartrand, Gabriel Lohöfer, Fabian Holch, Julian Walter Sommer, Wieland Hofmann, Felix Hostettler, Alexandre Lev-Cohain, Naama Drozdzal, Michal Amitai, Michal Marianne Vivanti, Refael Sosna, Jacob Ezhov, Ivan Sekuboyina, Anjany Navarro, Fernando Kofler, Florian Paetzold, Johannes C. Shit, Suprosanna Hu, Xiaobin Lipková, Jana Rempfler, Markus Piraud, Marie Kirschke, Jan Wiestler, Benedikt Zhang, Zhiheng Hülsemeyer, Christian Beetz, Marcel Ettlinger, Florian Antonelli, Michela Bae, Woong Bellver, Míriam Bi, Lei Chen, Hao Chlebus, Grzegorz Dam, Erik B. Dou, Qi Fu, Chi-Wing Georgescu, Bogdan Giró-I-Nieto, Xavier Gruen, Felix Han, Xu Heng, Pheng-Ann Hesser, Jürgen Moltz, Jan Hendrik Igel, Christian Isensee, Fabian Jäger, Paul Jia, Fucang Kaluva, Krishna Chaitanya Khened, Mahendra Kim, Ildoo Kim, Jae-Hun Kim, Sungwoong Kohl, Simon Konopczynski, Tomasz Kori, Avinash Krishnamurthi, Ganapathy Li, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Lowengrub, John Ma, Jun Maier-Hein, Klaus Maninis, Kevis-Kokitsi Meine, Hans Merhof, Dorit Pai, Akshay Perslev, Mathias Petersen, Jens Pont-Tuset, Jordi Qi, Jin Qi, Xiaojuan Rippel, Oliver Roth, Karsten Sarasua, Ignacio Schenk, Andrea Shen, Zengming Torres, Jordi Wachinger, Christian Wang, Chunliang Weninger, Leon Wu, Jianrong Xu, Daguang Yang, Xiaoping Yu, Simon Chun-Ho Yuan, Yading Yue, Miao Zhang, Liping Cardoso, Jorge Bakas, Spyridon Braren, Rickmer Heinemann, Volker Pal, Christopher Tang, An Kadoury, Samuel Soler, Luc van Ginneken, Bram Greenspan, Hayit Joskowicz, Leo Menze, Bjoern Department of Informatics Technical University of Munich Germany Department of Quantitative Biomedicine University of Zurich Switzerland Ecole Polytechnique de Montréal Canada Department of Medical Imaging Radboud University Medical Center Nijmegen Netherlands Department of Biomedical Engineering Tel-Aviv University Israel Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany Philips Research China Philips China Innovation Campus Shanghai China School of Biomedical Engineering & Imaging Sciences King0s College London London United Kingdom Institute for AI in Medicine Technical University of Munich Germany Department of Computer Science Guangdong University of Foreign Studies China Institute for diagnostic and interventional radiology Klinikum rechts der Isar Technical University of Munich Germany Institute for Diagnostic and Interventional Neuroradiology Klinikum Rechts der Isar Technical University of Munich Germany Department of Hepatobiliary Surgery The Affiliated Drum Tower Hospital Nanjing University Medical School China Department of Computing Imperial College London London United Kingdom Institute for Tissue Engineering and Regenerative Medicine Helmholtz Zentrum München Neuherberg Germany Brigham and Women's Hospital Harvard Medical School United States School of Computer Science and Engineering The Hebrew University of Jerusalem Israel University of Pennsylvania PA United States Pte. Ltd. Singapore Medical Imaging and Reconstruction Lab Department of Engineering Design Indian Institute of Technology Madras India Sensetime Shanghai China Department of Radiology Perelman School of Medicine University of Pennsylvania United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PA United States Co. Ltd China MontréalQC Canada Department of Radiology Radiation Oncology and Nuclear Medicine University of Montréal

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and computer-Assisted Intervention (MICCAI) 2017 and 2018. The image dataset is diverse and contains primary and secondary tumors with varied sizes and appearances with various lesion-to-background levels (hyper-/hypo-dense), created in collaboration with seven hospitals and research institutions. Seventy-five submitted liver and liver tumor segmentation algorithms were trained on a set of 131 computed tomography (CT) volumes and were tested on 70 unseen test images acquired from different patients. We found that not a single algorithm performed best for both liver and liver tumors in the three events. The best liver segmentation algorithm achieved a Dice score of 0.963, whereas, for tumor segmentation, the best algorithms achieved Dices scores of 0.674 (ISBI 2017), 0.702 (MICCAI 2017), and 0.739 (MICCAI 2018). Retrospectively, we performed additional analysis on liver tumor detection and revealed that not all top-performing segmentation algorithms worked well for tumor detection. The best liver tumor detection method achieved a lesion-wise recall of 0.458 (ISBI 2017), 0.515 (MICCAI 2017), and 0.554 (MICCAI 2018), indicating the need for further research. LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://***/. In addition, both data and online evaluation are accessible via ***. © 2019, CC BY-NC-ND.

关键词： Deep learning

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Multispectral sensors calibration for lightweight UAV

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IOP Conference Series: Earth and Environmental Science 2018年第1期169卷

作者： Yaakob Mansor Shattri Mansor Helmi Zulhaidi Abdul Rahman Ramli Ajibola I Isola Centre of Foundation Studies for Agricultural Science Geospatial Information Science Research Centre (GISRC) Universiti Putra Malaysia (UPM) Malaysia Department of Civil Faculty of Engineering Department of Computer and Communication System Faculty of Engineering

Using a suitable gimbal sensor, a lightweight multispectral sensor weight less than 500 g, such as visible imagery in the 400-700 nm (4000x3000 pixels), NIR imagery in the 520-920 nm region (2048 x 1536 pixels) and thermal 8-14µm (160x120 pixels) were placed on low-cost Hexacopter UAVs to perform aerial acquisitions of oil palm plant at very low altitude. Reliability data analysis is generated from the correction of undesirable and defect of sensor characteristics. Here, the sensor correction and calibration such as geometric, radiometric, vignetting, resolution and directional effects. Radiometric calibration using an upwelling water methodology where with thermosensor, the coefficient of determination, R2 = 1 and without thermosensor, R2 = 0.9455. For multi-temporal or multi-sensor image analysis, relative DN-to-radiance radiometric calibration was performed by using the white material as calibration, then convert the other colored area without the material based on the ratio of the white panel area and the color reflected in that area and compatible with in-situ spectroscopy device.

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