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International Renewable and Sustainable Energy Conference (IRSEC)

作者： Mustapha El Alaoui Fouad Farah Mounir Ouremchi Karim El Khadiri Hassan Qjidaa Ahmed Lakhssassi Ahmed Tahiri Electronics Signals Systems and Computer Science Laboratory (LESSI) Faculty of Sciences Sidi Mohamed Ben Abbellah University Fez Morocco Department of Computer Science and Engineering University of Quebec in Outaouais (UQO) Pavillon Lucien-Brault Canada Laboratory of Computer Science and Interdisciplinary Physics Sidi Mohamed Ben Abdellah University ENS-Fez Morocco

ISBN: (纸本)9781728111834;9781728111827

This paper presents a Modelling of photovoltaic module with POWERSIM. The effect of irradiation and temperature on PV module parameters was well detailed in this modeling. The PV module is the interface who converts light to electricity. Modeling this device need grabbing meteorological data (irradiance and temperature) as input variables and the output may be power, voltage, current or other. However, these two variables must be taken into account to plot the characteristics I pv (V pv ) or P pv (V pv ). Any change in the inputs forthwith implicates changes in outputs. For this reason, it is foremost to utilize a specific model for the PV module. The exclusive model is the three diode model with the series resistor for bigger precision. The detailed modelling is afterwards simulated step by step utilizing POWERSIM software.

关键词： Mathematical model Current measurement Temperature Integrated circuit modeling Resistance Temperature dependence computer science

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Controlling chaos based on a novel intelligent integral terminal sliding mode control in a rod-type plasma torch

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Chinese Physics B 2016年第5期25卷 11-22页

作者： Safa Khari Zahra Rahmani Behrooz Rezaie Intelligent Systems Research Group Faculty of Electrical and Computer EngineeringBabol Noshrivani University of Technology

An integral terminal sliding mode controller is proposed in order to control chaos in a rod-type plasma torch *** this method, a new sliding surface is defined based on a combination of the conventional sliding surface in terminal sliding mode control and a nonlinear function of the integral of the system states. It is assumed that the dynamics of a chaotic system are unknown and also the system is exposed to disturbance and unstructured uncertainty. To achieve a chattering-free and high-speed response for such an unknown system, an adaptive neuro-fuzzy inference system is utilized in the next step to approximate the unknown part of the nonlinear dynamics. Then, the proposed integral terminal sliding mode controller stabilizes the approximated system based on Lyapunov＇s stability theory. In addition, a Bee algorithm is used to select the coefficients of integral terminal sliding mode controller to improve the performance of the proposed method. Simulation results demonstrate the improvement in the response speed, chattering rejection, transient response,and robustness against uncertainties.

关键词： chaos rod-type plasma torch intelligent integral terminal sliding mode control Bee algorithm

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Fault-Prone Source File Analysis Focusing on the Contribution Entropy in Open Source Development

Fault-Prone Source File Analysis Focusing on the Contributio...

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Big Data, Cloud Computing, Data Science & engineering (BCD)

作者： Kazuki Yamauchi Hirohisa Aman Sousuke Amasaki Tomoyuki Yokogawa Minoru Kawahara Graduate School of Science and Engineering Ehime University Matsuyama Ehime Japan Ehime Daigaku Matsuyama Ehime JP Center for Information Technology Ehime University Matsuyama Ehime Japan Faculty of Computer Science and Systems Engineering Okayama Prefectural University Soja Okayama Japan

Open source software (OSS) products have been widely used for information systems, and a successful quality management of OSS development has become one of key topics in the information technology world. Since the development and maintenance of an OSS product is driven by various developers, it would be worthy to focus on their contributions and the cooperative structure. This paper proposes to measure a developer's contribution to a source file as the cumulative lines of code that he/she has changed on the file, and to evaluate the balance of contributions to the file among different developers in a form of an entropy. Through an empirical study using data collected from 10 major OSS projects, the following findings are reported: (1) a source file which has been maintained by two or more developers (entropy>0) is about two times more likely to be faulty than a file which has been done by only a single developer (entropy=0); (2) when two or more developers have maintained a source file and their contributions are more imbalanced (a lower entropy), the source file is more fault-prone.

关键词： Entropy Maintenance engineering History Software Quality management Measurement Focusing

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A Flexible Keyphrase Extraction Technique for Academic Literature

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Procedia computer Science 2018年 135卷 553-563页

作者： Gollam Rabby Saiful Azad “ Mufti Mahmud Kamal Z. Zamli Mohammed Mostafizur Rahman Faculty of Computer Systems & Software Engineering University Malaysia Pahang Gambang Kuantan Malaysia IBM Centre of Excellence Gambang Kuantan Malaysia Department of Computing and Technology Nottingham Trent University Nottingham United Kingdom Department of Mathematics American International University - Bangladesh (AIUB) Dhaka Bangladesh

A keyphrase extraction technique endeavors to extract quality keyphrases from a given document, which provide a high-level summary of that document. Except statistical keyphrase extraction approaches, all other approaches are either domain-dependent or require a sufficient amount of training data, which are rare at present. Therefore, in this paper, a new tree-based automatic keyphrase extraction technique is proposed, which is domain-independent and employs nominal statistical knowledge; but no train data are required. The proposed technique extracts a quality keyphrase through forming a tree from a candidate keyphrase; and later, it is expanded or shrunk or remained in the same state depending on other similar candidate keyphrases. At the end, keyphrases are extracted from the resultant trees based on a value, µ (which is the Maturity Index (MI) of a node in the tree), which enables flexibility in this process. A small µ value would yield many and/or lengthy keyphrases (greedy approach); whereas, a large µ value would yield lower and/or abbreviated keyphrases (conservative approach). Thereby, a user can extract his/her desired-level of keyphrases through tuning µ value. The effectiveness of the proposed technique is evaluated on an actual corpus, and compared with Rapid Automatic Keyphrase Extraction (RAKE) technique.

关键词： Candidate keyphrase keyphrase automatic keyphrase extraction technique tree data structure

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Collaborative Filtering Similarity Measures: Revisiting

Collaborative Filtering Similarity Measures: Revisiting

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作者： Hael Al-bashiri Mansoor Abdullateef Abdulgabber Awanis Romli Fadhl Hujainah Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang

This paper discussed the most commonly used similarity measures in Collaborative Filtering(CF) recommender system. In addition, the author introduced some recommendations related to CF system quality improvement which should be considered in the process of formulating similarity measure that may lead to alleviating the issue of data sparsity and some existing measures shortcomings. Generally, CF approach is one of the most widely used and most successful methods for the recommendation system, such as e-commerce. CF system introduced items to the user based on his/her previous ratings and the ratings of his/her neighbors. Therefore, the most important stage in CF system is locating the successful neighbor. Nevertheless, the sparsity of data is the major issue faced by the memory-based CF. The reason behind this is that many of the users rated a few number of items from the huge number of available items. This has encouraged many researchers to provide solutions. One of these solutions was by proposing or updating similarities measures take in considerations the global information preference, all ratings provided by users, the size of common ratings, and so on. In this work, the researcher discussed these measures alongside with their limitations. In addition, the researcher also listed some advices that are important in the process of locating successful neighbors, which may help researchers to improve the quality of CF system.

关键词： Recommendation System Collaborative Filtering Similarity Measurer

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Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs

arXiv

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arXiv 2017年

作者： Dharmasiri, Thanuja Spek, Andrew Drummond, Tom Faculty of Electrical and Computer Systems Engineering Monash University Australia

Understanding the 3D structure of a scene is of vital importance, when it comes to developing fully autonomous robots. To this end, we present a novel deep learning based framework that estimates depth, surface normals and surface curvature by only using a single RGB image. To the best of our knowledge this is the first work to estimate surface curvature from colour using a machine learning approach. Additionally, we demonstrate that by tuning the network to infer well designed features, such as surface curvature, we can achieve improved performance at estimating depth and *** indicates that network guidance is still a useful aspect of designing and training a neural network. We run extensive experiments where the network is trained to infer different tasks while the model capacity is kept constant resulting in different feature maps based on the tasks at hand. We outperform the previous state-of-the-art benchmarks which jointly estimate depths and surface normals while predicting surface curvature in parallel. Copyright © 2017, The Authors. All rights reserved.

关键词： Deep learning

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Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO

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Chinese Physics C 2021年第2期45卷 93-110页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yan Yerevan Physics Institute YerevanArmenia UniversitéLibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro RioBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing Institute of Spacecraft Environment Engineering BeijingChina Beijing Normal University BeijingChina China Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North China Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of Chinese Academy of Sciences BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin Institute of Technology HarbinChina University of Science and Technology of China HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South China HengyangChina Wuyi University JiangmenChina Shandong University JinanChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Nanjing University NanjingChina Guangxi University NanningChina East China University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai University TianjinChina Wuhan University WuhanChina Xi’an Jiaotong University Xi’anChina Xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhouChina Institute of Physics National Chiao-Tung University Hsinchu National United University Miao-Li Department of Physics National T

The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main *** of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator *** this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/*** ten years of data acquisition,approximately 60,000 signal and 30,000 background events are *** large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation *** m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith ***,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment.

关键词： neutrino oscillation solar neutrino JUNO

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A Preliminary Study of Optimizing Back Pain Medicinal Cupping Points Disease via Graph Colouring

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Journal of Physics: Conference Series 2019年第1期1366卷

作者： Nurfatihah Mohamad Hanafi Yuhani Yusof Mohd Sham Mohamad Muhamad Faiz Abu Bakar Mohd Adhha Ibrahim Centre for Mathematical Sciences Universiti Malaysia Pahang 26300 Pahang Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang 26300 Pahang Pusat Bekam Al-Yakin Kuantan Pahang

Medical cupping is an ancient method that is still used by many people. It is an alternative method in healing process for much type of diseases by using special cups on the specific points of the skin to create suction. Every disease has their specific cupping points. As a habit, practitioners will cup based on patient request or complaint, where it give effect to the cost and time. Thus, the aim of this paper is to study the effective ways on finding the optimum number of cupping points for back pain disease through graph colouring. In addition, a formulation in C# language is given too in validating the graph model result. The finding shows that the optimum number of back pain medicinal cupping points is two.

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Cost-optimal model predictive scheduling of home appliances

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IFAC-PapersOnLine 2017年第1期50卷 3344-3349页

作者： Bálint R. Magyar A. Hangos K.M. Department of Electrical Engineering and Information Systems Faculty of Information Technology University of Pannonia Veszprém Hungary Process Control Research Group HAS Research Institute for Computer Science and Control Budapest Hungary

A novel heuristic model-based optimal scheduling algorithm is proposed in this paper to operate heating and cooling type home appliances connected to smart grids where the price of the electrical energy is known in advance and temperature constraints are present. The properties and the use of the proposed algorithm are shown using a simple refrigerator model. The accuracy and the computational properties of the proposed method are compared to the schedule generated by the MPT toolbox. The algorithm works well with a relatively short prediction horizon using a fraction of the computing time needed for the MPT-based method. The robustness of the algorithm is also investigated with respect to the load of the refrigerator. It is shown that the designed schedule with an empty refrigerator is always suitable, yet not optimal, for any loaded case. © 2017

关键词： Demand side management Heuristics Model predictive control Scheduling algorithms Smart grids

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Smart Packing Simulator for 3D Packing Problem Using Genetic Algorithm

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Journal of Physics: Conference Series 2020年第1期1447卷

作者： U. Khairuddin N. A. Z. M. Razi M. S. Z. Abidin R. Yusof Department of Mechanical Precision Engineering Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Centre for Artificial Intelligence & Robotics Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Department of Information Systems Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA 42300 Shah Alam Selangor Malaysia

Every year, at least 100 million tons of solid waste globally comes from packaging waste, in which partly created by inefficient packaging. Multiple box arrangement or bin packing solution directly addresses this problem which also affects storing space in production, manufacturing and logistics sector. Smart packing algorithm is designed for solving three-dimensional bin/container packing problem (3DBPP) which has numerous practical applications in various fields including container ship loading, pallet loading, plane cargo, warehouse management and parcel packing. This project investigates the implementation of genetic algorithm (GA) for a smart packing simulator in solving the 3DBPP applications. The smart packing system has an adaptable chromosome length GA for more robust implementation, where chromosome length will be changing with number of boxes. It can optimize multiple box arrangements and the boxes movements and positions are simulated through each GA generations, for realistic adaptation. The system is able to make optimum arrangement for the boxes so they can fit into a smallest container possible. The time taken for GA to converge varies with number of boxes.

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