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Soft Computing for Problem Solving: Proceedings of Socpros 2020, Volume 1

為了解決uk450規格的問題，作者 這樣論述：

Dr. Aruna Tiwari is Associate Professor in Computer Science & Engineering at IIT Indore, India. Her all degrees B.Tech., M.Tech., Ph.D. are in Computer Science & Engineering from SGSITS Indore. She has more than 20 years of research experience in the areas such as artificial intelligence, machine le

arning, and soft-computing. Her work is around artificial neural networks, fuzzy clustering, evolutionary computation and their applications to bioinformatics, and medical diagnosis. Her research directions are toward the design of intelligent computing algorithms for classification, clustering, and

feature selection which can handle big data. She has more than 30 journal publications of international repute including more than 5 IEEE transactions and Elsevier journals of high impact factor and has published more than fifty research articles in the ranked conferences. She has established a big

data handling lab in IIT Indore which is funded by Council of Science & Industrial Research (CSIR) Government of India in 2017. She has enabled two MOUs, collaborating with Indian Institute of Soybean Research, Indore, and CSIR-Central Electronics Engineering Research Institute, Pilani. She has rec

ently initiated a consortium project on Artificial Intelligence which is approved from Ministry of Electronics & Information Technology (MeitY) Government of India. There are seven PhDs and more than 25 masters awarded under her guidance. Dr. Kapil Ahuja holds master’s and Ph.D. degrees in Mathemati

cs and Computer Science (from Virginia Tech, USA) and has a strong interdisciplinary focus. After graduating earlier this decade from VT, he received his postdoctoral training from the Max Planck Institute in Magdeburg (Germany). Since then, he has established his independent research program in Mat

hematics of Data Science and Computational Science at IIT Indore, where he is currently working as Associate Professor. Dr. Ahuja is solving challenging problems that are at both the ends of the research spectrum, i.e., theoretical as well as applicable. His core research interests are in artificial

intelligence, machine learning, numerical methods, and optimization. He believes that it is necessary to collaborate globally to solve challenging research problems. Hence, he has multiple active international research collaborations (USA, Germany, India, France, and UK). In the recent past, he has

also held visiting professor positions at TU Braunschweig (Germany), TU Dresden (Germany), and Sandia National Labs (USA). Dr. Ahuja’s overall research output includes thirty publications (including eighteen in reputed journals) as well as external funding worth more than half-a-million USD from tw

elve projects. While achieving this, he has graduated two Ph.D. students with three more to graduate soon. Since teaching and service are essential for a fruitful and satisfying research career, he is very committed to these aspects as well. Dr. Ahuja has received the Best Teacher Award four times a

t IIT Indore. In the past, he has held many administrative positions. Since the past three years, he is heading International Affairs at IIT Indore as Founding Dean for the same. Dr. Anupam Yadav is Assistant Professor in the Department of Mathematics at Dr. BR Ambedkar National Institute of Technol

ogy Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from Indian Institute of Technology Roor

kee, and he worked as Research Professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a text book entitled ＂An introduction to

neural network methods for differential equations＂. He has edited three books which are published by AISC, Springer Series. Dr. Yadav was General Chair, Convener, and Member of steering committee of several international conferences. He is Associate Editor in the journal of the experimental and theo

retical artificial intelligence. Dr. Yadav is Member of various research societies. Dr. Jagdish Chand Bansal is Associate Professor at South Asian University, New Delhi, and Visiting Faculty at Maths and Computer Science, Liverpool Hope University, UK. Dr. Bansal has obtained his Ph.D. in Mathematic

s from IIT Roorkee. Before joining SAU, New Delhi, he has worked as Assistant Professor at ABV Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary area of interest is swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fi

ssion-fusion social structure-based optimization algorithm, spider monkey optimization (SMO), which is being applied to various problems from engineering domain. He has published more than 60 research papers in various international journals/conferences. He is Series Editor of the book series such a

s Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) published by Springer. He is Editor-in-Chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also Associate Editor of IEEE ACESSS published by IEEE

and ARRAY published by Elsevier. He is Steering Committee Member and General Chair of the annual conference series SocProS. He is General Secretary of Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG level. Professor Kusum Deep is Full Professor in the Department

of Mathematics, Indian Institute of Technology Roorkee, India, and Visiting Professor, Liverpool Hope University, UK, and University of Technology Sydney, Australia. She has completed her B.Sc. (Hons) and M.Sc. (Hons) from Centre for Advanced Studies, Panjab University, Chandigarh. She is an M.Phil

. Gold Medalist. She earned her Ph.D. from UoR (now IIT Roorkee) in 1988. She has been a national scholarship holder and a postdoctoral from Loughborough University, UK assisted by International Bursary funded by Commission of European Communities, Brussels. She has won numerous awards like Khosla R

esearch Award, UGC Career Award Starred Performer of IITR Faculty, many best paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of late Professor M. C. Puri, and AIAP Excellence Award. She has authored two books, supervised 20 Ph.Ds, and published 125 research papers

. She is Senior Member of IEEE, ORSI, CSI, IMS, and ISIM. She is Executive Editor of International Journal of Swarm Intelligence, Inderscience. She is Associate Editor of Swarm and Evolutionary Algorithms, Elsevier. She is on the editorial board of many journals. She is Founder President of Soft Com

puting Research Society, India. She is General Chair of series of International Conference on Soft Computing for Problems Solving (SocProS). Her research interests are evolutionary algorithms, swarm Iitelligence, and nature-inspired optimization techniques and their applications. Professor Atulya K.

Nagar holds Foundation Chair as Professor of Mathematical Sciences and is Pro-Vice-Chancellor for Research at Liverpool Hope University, United Kingdom. He has been Dean of the Faculty of Science and Head of the School of Mathematics, Computer Science and Engineering which he established at the Uni

versity. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (D.Phil.) in Applied Nonlinear Mathematics, which he earned from the University of York (UK) in 1996. He holds B.Sc. (Hons), M.Sc. (Mathematics), and M.Phil. (with distinction) in Mathematical Physics from the MDS

University of Ajmer, India. Prior to joining Liverpool Hope, he was at the Department of Mathematical Sciences and later at the Department of Systems Engineering, at Brunel University, London. He is internationally respected Scholar working at the cutting edge of theoretical computer science, applie

d mathematical analysis, and systems engineering with his research expertise spanning both applied mathematics and computational methods for nonlinear, complex, and intractable problems arising in science, engineering, and industry. He has edited volumes on Intelligent System, and Applied Mathematic

s. He is Editor-in-Chief of the International Journal of Artificial Intelligence and Soft Computing (IJAISC) and serves on editorial boards for a number of prestigious journals. He is well published with over 450 publications in prestigious publishing outlets. Professor Nagar sits on a number of str

ategic UK wide research bodies including the JISC Research Strategy group, and he is Fellow of the Institute of Mathematics and its Applications (FIMA) and Fellow of the Higher Education Academy (FHEA).

Smart Grid Enabling Technologies

為了解決uk450規格的問題，作者Khalil, Shady,Ellabban, Omar,Abu-Rub, Haitham 這樣論述：

Shady S. Refaat is an Associate Research Scientist at Texas A&M University at Qatar. His research interests include electrical machines, power system, smart grid, energy management system, reliability of power grid and electric machinery, fault detection, and condition monitoring in conjunction with

fault management and development of fault tolerant systems. Omar Ellabban is a Principal Power Electronics Engineer (Team Lead) at Compound Semiconductor Applications Catapult at Newport, UK. His research activities are sing on Compound Semiconductor Applications, renewable energies integration, sm

art grid, power electronics converters design and control for various applications, and electric vehicles. Sertac Bayhan currently works at the Qatar Environment and Energy Research Institute, Qatar, as a Senior Scientist. Sertac received his M.Sc. and Ph.D. degrees in Electrical Engineering from Ga

zi University, Ankara, Turkey, in 2008 and 2012, respectively. Haitham Abu-Rub is Professor at Texas A&M University at Qatar. He is the managing director of the Smart Grid Center at the same university. His research interests include energy conversion systems, including electric drives, power electr

onic converters, renewable energy, and smart grid. Frede Blaabjerg is Professor of Power Electronics and Drives at Aalborg University in Denmark. His research interests include power electronics and its applications such as in wind turbines, PV systems, reliability, harmonics, and adjustable speed d

rives. Miroslav M. Begovic is Carolyn S. and Tommie E. Lohman Â59 Professor at Texas A&M University in the United States. He is Head of the Department of Electrical and Computer Engineering. His research interests include the monitoring, analysis, and control of power systems, as well as the develop

ment and applications of renewable and sustainable energy systems.

研究乳酸桿菌合併益生元對小鼠腸道內產碳青黴烯酶腸內菌的抑制效果

為了解決uk450規格的問題，作者黃綉文 這樣論述：

耐碳青黴烯類（carbapenem）抗生素的腸桿菌科（carbapenem-resistant Enterobacteriaceae，CRE）是目前臨床主要威脅之一，多數抗生素對CRE無抑制作用。部分菌株甚至會表現碳青黴烯酶（carbapenemase）分解carbapenem，稱為產碳青黴烯酶腸內菌（carbapenemase-producing Enterobacteriaceae，CPE）。且這類基因可在腸桿菌科之間互相傳遞，使得CPE的問題更顯嚴重。乳酸桿菌（Lactobacillus spp.）能產生乳酸及醋酸等有機酸、過氧化氫、抗菌胜肽等物質，進而抑制腸道內病原菌的生長，減少細菌

感染發生。根據實驗室先前的研究，乳酸桿菌以產生乳酸及醋酸降低酸鹼值，為主要的抑菌機轉。也測試不同的益生元（prebiotics）對乳酸桿菌產酸抑菌能力的影響。結果證實乳果糖及異麥芽寡糖對多數的乳酸桿菌具有較佳的產酸及抑菌效果。在本研究中我們將利用小鼠活體實驗，進一步來探討乳酸菌合併益生元，是否能在腸道中有效清除產碳青黴烯酶腸內菌。實驗動物選用BALB/c小鼠，首先測試CPE菌株及乳酸桿菌菌株在糞便中存留效果，接著再進行乳酸桿菌合併益生元對CPE的清除率測試。結果證實，CPE菌株能在小鼠糞便中存留至少達四週之久，且菌株數量可維持達105 CFU/ g，而初步測試的乳酸桿菌添加益生元可有效降低腸道

中的CPE，進一步的實驗將放大動物數量，確認此實驗結果。