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Characterizing Project Evolution on a Social Coding Platform

Characterizing Project Evolution on a Social Coding Platform

ACIS International Conference on Software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Koji Toda Haruaki Tamada Masahide Nakamura Kenichi Matsumoto Department of Computer Science and Engineering Fukuoka Institute of Technology Fukuoka Japan Faculty of Information Science and Engineering Kyoto Sangyo University Kyoto Japan Graduate School of System Informatics Kobe University Hyogo Japan Riken AIP Tokyo Japan

Social coding platforms (SCPs) have realized spontaneous software evolution, where new source code and ideas are spontaneously proposed by altruistic developers. Although there are many projects operated by active communities performing spontaneous evolution, it is yet unclear that how such successful projects and communities have been formed and governed. In this paper, we propose a method that can investigate the history of every project in the SCP. Introducing the concept of project as a city, we consider every project in the SCP as a city, where a government and citizens develop a city through collaborative activities. We then identify essential attributes that characterize a state of a city. For each attribute, we develop metrics that quantity the state S(p, t) of a project p at time t. An experimental evaluation investigating GitHub projects of famous code editors shows that the proposed metrics well visualize the history of the projects from essential perspectives of a city.

关键词： Urban areas Software Measurement Encoding Sociology Statistics Government

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A New Distributed Constrained Multi-Agent Optimization Protocol with Convergence Proof via Exactness of Penalized Objective Function

A New Distributed Constrained Multi-Agent Optimization Proto...

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Asian Control Conference

作者： Izumi Masubuchi Takayuki Wada Yasumasa Fujisaki Fabrizio Dabbene Graduate School of System Informatics Kobe University Kobe Japan Graduate School of Information Science and Technology Osaka University Osaka Japan Institute of Electronics Computer and Telecommunication Engineering National Research Council of Italy (CNRIEIIT) Torino Italy

ISBN: (纸本)9781728102634

This paper is concerned with distributed multiagent optimization with inequality and equality constraints based on exact penalty methods. In the literature of exact penalty methods, constrained optimization problem is solved through optimization of penalized objective function and, under mild assumptions, the set of the optimal solutions of the penalized objective function coincides with that of the original constrained optimization problem. Exploiting the exactness of the penalized objective function, this paper proposes a new distributed multi-agent optimization protocol which simplifies the update law of previous protocols based on exact penalty methods with equality constraints. Also more concrete proof of the convergence of the protocol is provided under the assumption of the exactness of the penalized objective function.

关键词： Protocols Optimization Linear programming Convergence Indexes Decision making Informatics

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A Compact Low Power AI Module Mounted on Drone for Plant Monitor system

A Compact Low Power AI Module Mounted on Drone for Plant Mon...

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IIAI International Conference on Advanced Applied Informatics (IIAIAAI)

作者： Tomoki Kobayashi Tomoyuki Yokogawa Nao Igawa Yoichiro Sato Satoshi Fujii Kazutami Arimoto Graduate School of Computer Science and Systems Engineering Okayama Prefectural University Soja Okayama Japan Faculty of Computer Science and System Engineering Okayama Prefectural University Soja Okayama Japan Information and Communication Systems Engineering National Institute of Technology Okinawa College Nago Okinawa Japan

This paper describes the compact and low power AI DNN discriminator which is mounted on the small drone like a hobby type. By adopting this AI module, the effective plant monitoring system using the drone has been ach...

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Ultra-wideband Dual-layer Magnetic Absorber with Active Impedance Matching

Ultra-wideband Dual-layer Magnetic Absorber with Active Impe...

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Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL)

作者： Wei Hu Haobin Zhang Wenxian Zheng Yongjun Yang Weiwei Gu Daniele Inserra Zhengwu Xu Gui Li Dongliang Zhang Jian Li Yongjun Huang Guangjun Wen School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China Tsinghua Shenzhen International Graduate School Shenzhen China Yibin Intelligent Information System Institute University of Electronic Science and Technology of China Yibin China

ISBN: (数字)9781728153049

ISBN: (纸本)9781728153056

A novel broadband absorber is designed in this paper, which consists of two layers of magnetic materials and metal reflector. In order to achieve broadband performance, the upper layer and the lower layer magnetic material are designed into periodically cylindrically holes with performance multi-resonance frequency. The simulations showed that an absorption more than 90% for normal incident is obtained in the frequency range from 1.62GHz to 18GHz. The absorber has polarization insensitivity when the incident electromagnetic wave is obliquely with TE/TM polarization, and the absorbing is stable within 0-60 degrees incident. The absorber has potential application in radar system and RCS reduced.

关键词： Magnetic materials Absorption Broadband communication Resonant frequency Contracts Permeability

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Ultra-wideband Active Absorber Based on Multiple Frequency Selective Surface and Magnetic Layers

Ultra-wideband Active Absorber Based on Multiple Frequency S...

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Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL)

作者： Weiwei Gu Haobin Zhang Wenxian Zheng Yongjun Yang Wei Hu Daniele Inserra Zhengwu Xu Gui Li Dongliang Zhang Jian Li Yongjun Huang Guangjun Wen School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China Tsinghua Shenzhen International Graduate School Shenzhen China Yibin Intelligent Information System Institute University of Electronic Science and Technology of China Yibin China

ISBN: (数字)9781728153049

ISBN: (纸本)9781728153056

In this paper, an ultra-thin UWB absorber is designed by using Non-Foster circuit and Frequency Selective Surface. The absorbing structure consists of Non-Foster matching layer, magnetic material layer with FSS and ground layer. To broaden the absorbing bandwidth, two layers of magnetic materials are shaped by holes. It is verified by simulation that the absorptivity is higher than 80% in 0.15GHz-18GHz when the TM polarized wave is incident. And the thickness of the absorber is about 8mm, which is 1/250 of the operating wavelength. The ultra-thin UWB absorber can be widely used in wireless communication and radar applications.

关键词： Periodic structures Impedance Surface impedance Loading Electromagnetics Integrated circuit modeling Magnetic materials

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Quantum self-learning Monte Carlo and quantum-inspired Fourier transform sampler

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Physical Review Research 2020年第4期2卷 043442-043442页

作者： Katsuhiro Endo Taichi Nakamura Keisuke Fujii Naoki Yamamoto Department of Mechanical Engineering Keio University Hiyoshi 3-14-1 Kohoku Yokohama Japan Department of System Design Engineering Keio University Hiyoshi 3-14-1 Kohoku Yokohama Japan Graduate School of Engineering Science Osaka University 1-3 Machikaneyama Toyonaka Osaka 560-8531 Japan Center for Quantum Information and Quantum Biology Institute for Open and Transdisciplinary Research Initiatives Osaka University Osaka 560-8531 Japan Department of Applied Physics and Physico-Informatics and Quantum Computing Center Keio University Hiyoshi 3-14-1 Kohoku Yokohama Japan

The self-learning metropolis-Hastings algorithm is a powerful Monte Carlo method that, with the help of machine learning, adaptively generates an easy-to-sample probability distribution for approximating a given hard-to-sample distribution. This paper provides a new self-learning Monte Carlo method that utilizes a quantum computer to output a proposal distribution. In particular, we show a novel subclass of this general scheme based on the quantum Fourier transform circuit; when the dimension of the input to QFT corresponding to the low-frequency components is not large, this sampler is classically simulable while having a certain advantage over conventional methods. The performance of this quantum-inspired algorithm is demonstrated by some numerical simulations.

关键词： Machine learning Quantum algorithms Quantum computation

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Estimating position of bio electric potential dataset as a natural sensor using time series approach 1

Estimating position of bio electric potential dataset as a n...

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1st International Workshop on Cognition and Artificial Intelligence for Human-Centred Design, CAID 2017

作者： Tahyudin, Imam Nambo, Hidetaka Artificial Intelligence Laboratory Graduate School of Natural Science and Technology Division of Electrical Engineering and Computer Science Kanazawa University Japan Department of Information System STMIK AMIKOM Purwokerto Indonesia

The application of plants as natural sensors to detect human behavior is very interesting to investigate. One benefit is to know the position of elderly people living alone in a house in order to avoid accidents resulting in death because of not immediately helped. The previous authors already use some method to estimate the position such as classification and multilayer perceptron methods. However, to find the best estimation is so difficult. Therefore, this study tried to use time series approach to solve bioelectric potential dataset problem because the data type is numeric and data stored are based on time. The time series model which is used is Autoregressive (AR) model. The purpose of this study is to estimate the position based on the distance of training dataset to AR model. The result performed that the AR model selected is AR of order 3. In addition, the estimation accuracy is pretty good of 75% compared with the other methods, such as multi layer perceptron or decision tree. © 2018 CEUR-WS. All rights reserved.

关键词： Time series

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The Study of Estimation on Maize Irrigation Water Requirement in the northwest of Liaoning Province

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Journal of Risk Analysis and Crisis Response 2019年第1期9卷 52-59页

作者： Liu, Xiaojing Ma, Donglai Zhang, Jiquan Chen, Peng College of Tourism and Geographic Science Jilin Normal University Siping 136000 China University of Tsukuba Graduate School of System and Information Engineering Tsukuba 3050006 Japan Environment College Northeast Normal University Changchun 130000 China

This paper took the northwest of Liaoning Province as a study area and maize as the research object. Effective rainfall, crop water requirement and soil available water content at 6 growth stages of maize were calculated by using Penman-Montes equation, effective coefficient method and Cropland Soil Moisture Index. Then the estimation model of irrigation water requirement of maize at different growth stages of the northwest of Liaoning Province. Taking 2006 as an example, the irrigation water requirement of maize at different growth stages was estimated and the spatial distribution maps were drawn by GIS. The results show that overall the irrigation water requirement of maize in the western of the study area is more than that of in the northeastern. The irrigation water requirement of maize in heading stage has increased significantly because of the severe drought status. it can provide technical support for a region to relieve crop drought. © 2019 Journal of Risk Analysis and Crisis Response. All rights reserved.

关键词： CSMI Drought Irrigation water requirement Maize

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Correction: Structural, electronic, optical, elastic, thermodynamic and thermal transport properties of Cs2AgInCl6 and Cs2AgSbCl6 double perovskite semiconductors using a first-principles study

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Physical Chemistry Chemical Physics 2023年第1期26卷 635-635页

作者： Keqing Zhang Lijun Zhang S. K. S. Saravana Karthikeyan Chang Yi Kong Fuchun Zhang Xiang Guo Nam Nguyen Dang Sankar Ganesh Ramaraj Xinghui Liu School of Chemical Engineering Henan Technical Institute Zhengzhou Henan P. R. China Department of Environment and Energy System Graduate School of Science and Technology Shizuoka University 3-5-1 Johoku Naka-ku Hamamatsu 432-8561 Japan Department of Applied Chemistry and Biochemical Engineering Faculty of Engineering Shizuoka University 3-5-1 Johoku Naka-ku Hamamatsu 432-8561 Japan School of Physics and Electronic Information Yan'an University Yan'an China Science and Technology on Aerospace Chemical Power Laboratory Hubei Institute of Aerospace Chemotechnology Xiangyang 441003 Hubei China Future Materials & Devices Lab. Institute of Fundamental and Applied Sciences Duy Tan University Ho Chi Minh City Vietnam The Faculty of Environmental and Chemical Engineering Duy Tan University Danang Vietnam Department of Bioengineering The University of Tokyo 7-3-1 Hongo Bunkyo-Ku Tokyo 113-8656 Japan Department of Materials Physics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMTS) Thandalam Chennai – 602105 Tamilnadu India Division of Research and Development Lovely Professional University Phagwara India

Correction for ‘Structural, electronic, optical, elastic, thermodynamic and thermal transport properties of Cs2AgInCl6 and Cs2AgSbCl6 double perovskite semiconductors using a first-principles study’ by Keqing Zhang ...

Correction for ‘Structural, electronic, optical, elastic, thermodynamic and thermal transport properties of Cs₂AgInCl₆ and Cs₂AgSbCl₆ double perovskite semiconductors using a first-principles study’ by Keqing Zhang et al., Phys. Chem. Chem. Phys., 2023, 25, 31848–31868, https://***/10.1039/d3cp03795a.

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Corrigendum to 'Air pollution and acute kidney injury with comorbid disease: A nationwide case-crossover study in South Korea' [Environ. Res. 260 (2024) 119608]

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Environmental research 2024年 261卷 119681页

作者： Jieun Min Whanhee Lee Duk-Hee Kang Seoyeong Ahn Ayoung Kim Cinoo Kang Jongmin Oh Hyemin Jang Chor Ho Jo Jieun Oh Jinah Park Jeongmin Moon Sooyoung Kim Jungsil Lee Minho Kim Youngrin Kwag Eunhee Ha Department of Environmental Medicine College of Medicine Ewha Womans University 25 Magokdong-ro 2-gil Gangseo-gu Seoul Republic of Korea Graduate Program in System Health Science and Engineering College of Medicine Ewha Womans University Seoul Republic of Korea. School of Biomedical Convergence Engineering Pusan National University Yangsan Republic of Korea. Division of Nephrology Department of Internal Medicine College of Medicine Ewha Womans University Ewha Medical Research Center Seoul Republic of Korea. Department of Public Health Science Graduate School of Public Health Seoul National University Seoul Republic of Korea. Institute of Ewha-SCL for Environmental Health (IESEH) Ewha Womans University College of Medicine Seoul Republic of Korea Department of Human System Medicine College of Medicine Seoul National University Seoul Republic of Korea. Ewha Medical Research Center Ewha Womans University College of Medicine Seoul Republic of Korea. Institute of Ewha-SCL for Environmental Health (IESEH) Ewha Womans University College of Medicine Seoul Republic of Korea. Information Department Ewha Womans University Seoul Hospital Seoul Republic of Korea. Department of Environmental Medicine College of Medicine Ewha Womans University 25 Magokdong-ro 2-gil Gangseo-gu Seoul Republic of Korea. Graduate Program in System Health Science and Engineering College of Medicine Ewha Womans University Seoul Republic of Korea Institute of Ewha-SCL for Environmental Health (IESEH) Ewha Womans University College of Medicine Seoul Republic of Korea. Electronic address: eunheeha@ewha.ac.kr.

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