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6th International Seminar on mathematics, science, and computer science Education, MSCEIS 2018

作者： Muliana Yusiran Agustinasari Asriyadin Susilawati, E. Sarnita, F. Siswanto Gumilar, S. Gustina Erwinsyah, A. Utami, L. Amiruddin, A. Syahrir Department of Physic Education STKIP Taman Siswa Bima Bima Indonesia Department of Natural Science Education Universitas Tidar Magelang Indonesia Department of Primary Teacher of Education STKIP 11 April Sumedang Indonesia Department of Physic Education Universitas Tadulako Palu Indonesia IAIN Sultan Amai Gorontalo Gorontalo Indonesia Department of Computer Engineering STMIK AKBA Makasar Indonesia Department of Mathematic Education IKIP Mataram Mataram Indonesia

CT skills are one of the skills required by students in facing the real world problems in 21st century era. They can be trained by using several approaches in science learning context. However, there is a little study focused to investigate the impact of IA toward CT skills. This present study investigated the implementation of IA to enhance students' CT skills. The experimental study, which was one group pretest posttest design, has been conducted to garner data from participants. There were 36 students (grade XI) who contributed as participants and they came from one public senior high school in Indonesia. In order to obtain data, an instrument related to CT skills was developed dealing with physics concepts. This finding revealed that students' CT skills enhanced in medium category based on normalized gain (N-gain). A consideration of the implication of this present study is a deep insight in students' CT skills in Indonesian high schools. © 2019 IOP Publishing Ltd.

关键词： Students

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Compact cat swarm optimization algorithm

Compact cat swarm optimization algorithm

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International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2017

作者： Zhao, Ming Pan, Jeng-Shyang Chen, Shuo-Tsung School of Computer Science Yangtze University Jingzhou China School of Information Engineering Fuzhou University of Technology Fuzhou China Department of Mathematic Tung Hai University Taichung Taiwan

ISBN: (纸本)9783319764504

A compact cat swarm optimization algorithm (cCSO) was proposed in this paper. it keeps the same search logic of cat swarm optimization (CSO), i.e. tracing mode and seeking mode, on the other hands, cCSO inherits the main feature of compact optimization algorithms, a normal probabilistic vector is used to generate new individuals, the mean and the standard deviation of the probabilistic model could lead cats to the searching direction in next step. Only a cat is adopted in the algorithm, thus, it could run with modest memory requirement. Experimental results show that cCSO has better performance than some compact optimization algorithms in some benchmark functions test. The convergence rate is also a highlight among compact optimization algorithms. © Springer International Publishing AG, part of Springer Nature 2018.

关键词： Optimization

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An Effective Dual Closed-Loop Scheme Based on Lead Compensator and Proportional Controller for Quasi Z-Source Inverter

An Effective Dual Closed-Loop Scheme Based on Lead Compensat...

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2018 IEEE Region 10 Conference, TENCON 2018

作者： Law, Kah Haw Dahidah, Mohamed Sim, Sy Yi Pei Qin Ng, Wendy Masaoud, Ammar Abu-Siada, Ahmed Department of Electrical and Computer Engineering Curtin University Miri Malaysia School of Engineering Newcastle University Newcastle upon Tyne United Kingdom Department of Electrical and Electronic Engineering University Tun Hussein Onn Malaysia Malaysia Department of Chemical Engineering Curtin University Miri Malaysia School of Electrical Engineering Computer and Mathematic Science Curtin University Bentley Australia

ISBN: (纸本)9781538654576

The emergence of quasi Z source inverter (qZSI) in 2008 has grabbed researchers' attention to explore new enhancement control schemes and modulation techniques in the past decade. This paper proposed a single-phase qZSI with lead compensator in the control system driven by unipolar carrier based pulse width modulation (CB-PWM) technique. Specifically, the lead compensator acts as qZSI's outer voltage loop controller while the current inner control loop is attained via the conventional proportional (P) controller. When compared with traditional dual loop based proportional integral (PI)-P controller, the proposed controller demonstrates its superiority for the qZSI to achieve good dynamic, steady-state, and transient performances under both the continuous conduction mode (CCM) and discontinuous conduction mode (DCM) operations. All design procedures are presented thoroughly in this paper and the effectiveness and theoretical analysis of the proposed approach are verified through simulation using MATLAB/Simulink software. © 2018 IEEE.

关键词： Controllers

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Brain Tumour Detection using Fine-Tuning Mechanism for Magnetic Resonance Imaging

Brain Tumour Detection using Fine-Tuning Mechanism for Magne...

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2017 Malaysian Technical Universities Conference on engineering and Technology, MUCET 2017

作者： Al-Tamimi, Mohammed S.H. Ghazali, Nur Hafizah Mahrom, Norfadila Ghazali, Nurulhuda Sulong, Ghazali University of Baghdad College of Science Department of Computer Science Baghdad Iraq Universiti Malaysia Perlis School of Computer and Communication Engineering Perlis Malaysia Universiti Teknologi Mara Faculty of Computer and Mathematic Sciences Melaka Malaysia Universiti Teknologi Malaysia Faculty of Computing Johor Malaysia Universiti Malaysia Terengganu School of Informatics and Applied Mathematics Terengganu Malaysia

In this paper, new brain tumour detection method is discovered whereby the normal slices are disassembled from the abnormal ones. Three main phases are deployed including the extraction of the cerebral tissue, the detection of abnormal block and the mechanism of fine-tuning and finally the detection of abnormal slice according to the detected abnormal blocks. Through experimental tests, progress made by the suggested means is assessed and verified. As a result, in terms of qualitative assessment, it is found that the performance of proposed method is satisfactory and may contribute to the development of reliable MRI brain tumour diagnosis and treatments. © The Authors, published by EDP sciences, 2018.

关键词： Magnetic resonance imaging

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Real-time UAV path-terrain collision evaluation on FPGA

Real-time UAV path-terrain collision evaluation on FPGA

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International Conference on Optimization and Applications (ICOA)

作者： François Charles Joseph Allaire Mohammed Tarbouchi Gilles Labonté Vincent Roberge Royal Military College of Canada Kingston ON CA Department of Electrical & Computer Engineering Royal Military College of Canada Kingston Canada Department of Mathematic & Computer Science Royal Military College of Canada Kingston Canada

One of the most fundamental element of the Unmanned Aerial Vehicles (UAV) path planning is the assurance that the path planned avoids any terrain collision. The task to “evaluate how much a UAV path is in collision with the terrain” is particularly crucial for path planners that are optimizing random generated paths. This terrain collision evaluation task can be computationally demanding and its computation time depends on the environment representation used. This paper presents a Field Programmable Gate Arrays (FPGA) based design of a UAV terrain collision evaluator that evaluates in parallel segments of the path in real-time. Its worst case computation time has a fixed upper bounded, based on the size of the map. For a 500×500 grid map, this upper bound is 1.9 μs, which is a promising result for future UAV real-time path planners.

关键词： Unmanned aerial vehicles Real-time systems Field programmable gate arrays Registers Testing Military computing Path planning

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Thank You to Our 2021 Peer Reviewers

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GeoHealth 2022年第5期6卷 e2022GH000639页

作者： Gabriel Filippelli Rita Colwell Susan Anenberg John Balbus Daniela Ceccarelli Karen Hudson-Edwards Antarpreet Jutla Chiyuan Miao Paul Sandifer Avner Vengosh Department of Earth Sciences and Center of Urban Health Indiana University-Purdue University Indianapolis Indianapolis IN USA. Institute for Advanced Computer Studies University of Maryland College Park MD USA. Milken Institute School of Public Health George Washington University Washington DC USA. National Institute of Environmental Health Sciences Bethesda MD USA. Research Executive Agency of the European Commission Brussels Belgium. Camborne School of Mines and Environment and Sustainability Institute University of Exeter Exeter UK. Department of Environmental Engineering Sciences University of Florida Gainesville FL USA. Faculty of Geographical Science Beijing Normal University Beijing China. Center for Coastal Environmental and Human Health College of Charleston School of Sciences & Mathematic Charleston SC USA. Nicholas School of the Environment Division of Earth and Ocean Sciences Duke University Durham NC USA.

The editors thank the 2021 peer reviewersIn 2021, GeoHealth benefited from 365 reviews provided by 241 of our peersA number of individuals submitted multiple reviews for GeoHealth in 2021.

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Algorithm Advanced Control Chaos and Stabilization Measurement Error

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Journal of Physics: Conference Series 2019年第1期1255卷 012073-012073页

作者： Wanayumini Zarlis, Muhammad Suwilo, Saib Mhd Furqan Rahmat Fauzi Syarifah, Tengku Department Information Technology University of Asahan Technique Engineering of Science Universitas Sumatera Utara Mathematic of Science Universitas Sumatera Utara Department of Computer Science Universitas Islam Negeri Sumatera Utara Medan Department Technique Electro Universitas Sumatera Utara Department of Economic Management University of Asahan

Measurement error in the data sample human voice from the data 1 to 17 obtain measurement results with the algorithm Advanced Chaos Control and Stabilization through several stages of delivery of the process control and and stabilizing the data to find the value of noise and bias in the initial process control and find the value of precision and accuracy in both the stabilization process. Stable value which must be controlled ranging 58,9922dB and 60,47059dB with a standard value of 60dB.

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Using inductive approach (IA) to enhance students' critical thinking (CT) skills

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Journal of Physics: Conference Series 2019年第5期1280卷

作者： Muliana Yusiran Agustinasari Asriyadin E Susilawati F Sarnita Siswanto S Gumilar Gustina A Erwinsyah L Utami A Amiruddin Syahrir Department of Physic Education STKIP Taman Siswa Bima Bima Indonesia Department of Natural Science Education Universitas Tidar Magelang Indonesia Department of Primary Teacher of Education STKIP 11 April Sumedang Indonesia Department of Physic Education Universitas Tadulako Palu Indonesia IAIN Sultan Amai Gorontalo Gorontalo Indonesia Department of Computer Engineering STMIK AKBA Makasar Indonesia Department of Mathematic Education IKIP Mataram Mataram Indonesia

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Comments on a privacy preserving public auditing mechanism for shared cloud data 17

Comments on a privacy preserving public auditing mechanism f...

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4th Multidisciplinary International Social Networks Conference, MISNC 2017

作者： Wu, Tsu-Yang Lin, Yueshan Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Wu, Mu-En Fujian Provincial Key Laboratory of Big Data Mining and Applications National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology Fuzhou350118 China Harbin Institute of Technology Shenzhen Graduate School Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Department of Mathematic Soochow University Taipei Taiwan

ISBN: (纸本)9781450348812

Auditing mechanisms are received much attentions from researchers due to the developing of cloud storage. Recently, Wang et al. proposed a privacy preserving public auditing mechanism for shared cloud data with supporting group dynamic. However, we find some security flaws in their mechanism. In this paper, a forgery attack and a data corruption attack are proposed to demonstrate the insecurity. Then, we propose a modified scheme based on their mechanism. The security analysis is demonstrated that our improvement can resist the mentioned two attacks. © 2017 ACM.

关键词： Cloud storage

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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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