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SSRN 2024年

作者： Xiao, Qing Tan, Zhuangxi Du, Min School of Information and Electrical Engineering Hunan University of Science and Technology Hunan Province Xiangtan China Department of Automatic Control and Systems Engineering University of Sheffield South Yorkshire Sheffield United Kingdom

This paper sets out to develop an efficient probabilistic optimal power flow (POPF) algorithm to assess the influence of wind power on power grid. Given a set of wind data at multiple sites, the marginal distribution is fitted by a newly developed generalized Johnson system, the dependence structure of wind speeds is matched by the flexible Liouville copula. In order to lower the computational burden for solving POPF model, a Lattice sampling technique is developed to generate wind samples at multiple sites, and a Logistic mixture model is proposed to fit distributions of POPF outputs, which can quantify the effect of wind speed uncertainty on power grid. Finally, the proposed methods are illustrated by case studies on the IEEE 118-bus system. © 2024, The Authors. All rights reserved.

关键词： Electric load flow

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A mesh-constrained discrete point method for incompressible flows with moving boundaries

arXiv

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arXiv 2024年

作者： Matsuda, Takeharu Ii, Satoshi Department of Mechanical Systems Engineering Graduate School of Systems Design Tokyo Metropolitan University 1-1 Minami-Osawa Tokyo Hachioji192-0397 Japan Department of Mechanical Engineering School of Engineering Institute of Science Tokyo 2-12-1 Ookayama Meguro-ku Tokyo152-8550 Japan

Particle-based methods are a practical tool in computational fluid dynamics, and novel types of methods have been proposed. However, widely developed Lagrangian-type formulations suffer from the nonuniform distribution of particles, which is enhanced over time and result in problems in computational efficiency and parallel computations. To mitigate these problems, a mesh-constrained discrete point (MCD) method was developed for stationary boundary problems (Matsuda et al., 2022). Although the MCD method is a meshless method that uses moving least-squares approximation, the arrangement of particles (or discrete points (DPs)) is specialized so that their positions are constrained in a background mesh to obtain a closely uniform distribution. This achieves a reasonable approximation for spatial derivatives with compact stencils without encountering any ill-posed condition and leads to good performance in terms of computational efficiency. In this study, a novel meshless method based on the MCD method for incompressible flows with moving boundaries is proposed. To ensure the mesh constraint of each DP in moving boundary problems, a novel updating algorithm for the DP arrangement is developed so that the position of DPs is not only rearranged but the DPs are also reassigned the role of being on the boundary or not. The proposed method achieved reasonable results in numerical experiments for well-known moving boundary problems. Copyright © 2024, The Authors. All rights reserved.

关键词： Incompressible flow

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A spiral microfluidic device for rapid sorting,trapping,and long-term live imaging of Caenorhabditis elegans embryos

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Microsystems & Nanoengineering 2023年第1期9卷 203-213页

作者： Peng Pan Zhen Qin William Sun Yuxiao Zhou Shaojia Wang Pengfei Song Yong Wang Changhai Ru Xin Wang John Calarco Xinyu Liu Department of Mechanical and Industrial Engineering University of Toronto5 King’s College RoadTorontoOntarioM5S 3G8Canada Upper Canada College 200 Lonsdale RoadTorontoOntarioM4V 1W6Canada School of Advanced Technology Xi’an Jiaotong-Liverpool University111 Ren’ai RoadSuzhou215000China School of Electronic and Information Engineering Suzhou University of Science and TechnologySuzhou215009China Department of Mechanical and Aerospace Engineering Jilin UniversityChangchun130012China Department of Cell&Systems Biology University of Toronto25 Harbord StTorontoOntarioM5S 3G5Canada Institute of Biomedical Engineering University of Toronto164 College StreetTorontoOntarioM5S 3G9Canada

Caenorhabditis elegans embryos have been widely used to study cellular processes and developmental regulation at early ***,most existing microfluidic devices focus on the studies of larval or adult worms rather than *** accurately study the real-time dynamics of embryonic development under different conditions,many technical barriers must be overcome;these can include single-embryo sorting and immobilization,precise control of the experimental environment,and long-term live imaging of *** paper reports a spiral microfluidic device for effective sorting,trapping,and long-term live imaging of single *** embryos under precisely controlled experimental *** device successfully sorts embryos from a mixed population of *** at different developmental stages via Dean vortices generated inside a spiral microchannel and traps the sorted embryos at single-cell resolution through hydrodynamic traps on the sidewall of the spiral channel for long-term *** the well-controlled microenvironment inside the microfluidic device,the response of the trapped *** embryos to mechanical and chemical stimulation can be quantitatively *** experimental results show that a gentle hydrodynamic force would induce faster growth of embryos,and embryos developmentally arrested in the high-salinity solution could be rescued by the M9 *** microfluidic device provides new avenues for easy,rapid,high-content screening of *** embryos.

关键词： larval spiral trapping

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An Implementation of Naming Rule Checking Function and its Applications to Java Programming Codes

An Implementation of Naming Rule Checking Function and its A...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Khaing Hsu Wai Nobuo Funabiki Mustika Mentari Soe Thandar Aung Htoo Htoo Sandi Kyaw Shingo Yamaguchi Wen-Chung Kao Graduate School of Science and Engineering Akita University Akita Japan Department of Information and Communication Systems Okayama University Okayama Japan Department of Computer and Information Science Tokyo University of Agriculture and Technology Tokyo Japan Graduate School of Sciences and Technology for Innovation Yamaguchi University Japan Department of Electrical Engineering National Taiwan Normal University Taipei Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Currently, a lot of universities are offering Java programming courses for teaching the first-step object-oriented programming language. For novice students, to master writing readable codes using proper names for variables, classes, and methods is crucial in Java programming, to improve under-standability and maintainability. In this paper, we consider four naming rules to write a readable code and implement the naming rule checking function to check whether the given code follows them. For evaluations, we applied the proposal to 2, 908 source codes submitted in Java programming courses from students in Okayama University, Japan, Malang State Polytechnic, Indonesia, and Yamaguchi University, Japan. The results confirm the effectiveness of the proposal.

关键词： Java Codes Source coding Education Programming Writing Proposals Object oriented programming Consumer electronics

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Anomaly Detection Based on Principle of Justifiable Granularity and Probability Density Estimation

Anomaly Detection Based on Principle of Justifiable Granular...

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2023 China Automation Congress, CAC 2023

作者： Du, Sheng Ma, Xian Li, Xiang Wu, Min Cao, Weihua Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Istanbul Sariyer Turkey

ISBN: (纸本)9798350303759

Anomaly detection is essential to ensure the safety of industrial processes. This paper presents an anomaly detection approach based on the probability density estimation and principle of justifiable granularity. First, time series data are transformed into a two-dimensional information granule by the principle of justifiable granularity. Then, the test statistic is constructed, and the probability density and cumulative distribution functions of the test statistic are calculated. Next, the confidence level determines the test threshold. Finally, the time series data of a key parameter in the sintering process is used as a case study. The experimental result demonstrates that the proposed approach can detect abnormal time series data effectively, providing an accurate and effective solution for detecting time series anomalies in industrial processes. © 2023 IEEE.

关键词： Time series

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Synchronous Online Abstract Dynamic Programming

Synchronous Online Abstract Dynamic Programming

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Xiuxian Li Min Meng Lihua Xie Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems and Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

This paper addresses the abstract dynamic programming (DP) in the online scenario, where the abstract DP mapping is time-varying, instead of static. In this case, optimal costs and policies at different time instants are not the same in general, and the problem amounts to tracking time-varying optimal costs and policies, which is of interest to many practical problems. It is thus necessary to analyze the performance of classical value iteration (VI) and policy iteration (PI) algorithms in the online case. In doing so, this paper develops and provides the theoretical analysis for several online algorithms, including approximate online VI, online PI, approximate online PI, online optimistic PI, and approximate online optimistic PI algorithms. It is proved that the tracking error bounds for all algorithms critically depend upon the largest difference between any two consecutive abstract mappings. Meanwhile, examples are presented to illustrate the theoretical results.

关键词： Costs Automation Law enforcement Heuristic algorithms Approximation algorithms Dynamic programming Robots

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Probabilistic Optimal Power Flow Computation for Power Grid Including Correlated Wind Sources

SSRN

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SSRN 2024年

作者： Xiao, Qing Du, Min School of Information and Electrical Engineering Hunan University of Science and Technology Hunan Province Xiangtan China Department of Automatic Control and Systems Engineering University of Sheffield South Yorkshire Sheffield United Kingdom

关键词： Electric load flow

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Improving Land Cover Segmentation Using Multispectral Dataset 8

Improving Land Cover Segmentation Using Multispectral Datase...

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8th International Conference on Informatics and Computing, ICIC 2023

作者： Herlawati, Herlawati Handayanto, Rahmadya Trias Heryadi, Yaya Abdurachman, Edi Soeparno, Haryono Irwansyah, Edy Miranda, Eka Informatics Universitas Bhayangkara Jakarta Raya Jakarta Indonesia Universitas Islam 45 Computer Engineering Bekasi Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Trisakti Institute of Transportation and Logistic Jakarta13410 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia

ISBN: (纸本)9798350342604

Computer vision has been used in many areas such as medical, transportation, military, geography, etc. The fast development of sensor devices inside camera and satellite provides not only red-greed-blue (RGB) images but also multispectral dataset with some channels including RGB, infrared, short-wave, and thermal wave. Most of the dataset is panchromatic (black and white) and RGB, for example Google Map and other satellite-based map applications. This study examines the effects of multispectral dataset for semantic segmentation of land cover. The comparison between RGB with band 2 to band 7 of Landsat 8 Satellite shows an improvement of accuracy from 90.283 to 94.473 for U-Net and from 91.76 to 95.183 for DeepLabV3+. In addition, this research also compares two well-known semantic segmentation methods, namely U-Net and DeepLabV3+, that shown that DeepLabV3+ outperformed U-Net regarding to speed and accuracy. Testing was conducted in the Karawang Regency area, West Java, Indonesia. © 2023 IEEE.

关键词： Landsat

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Real-Time Particle Cluster Manipulation with Holographic Acoustic End-Effector under Microscope

Real-Time Particle Cluster Manipulation with Holographic Aco...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Siyuan An Chengxi Zhong Mingyue Wang Shudong Wang Haojian Lu Jiaqi Li Youfu Li Song Liu School of Information Science and Technology ShanghaiTech University Shanghai China School of Electrical Engineering Xian Jiaotong University and with State Key Laboratory of Electrical Insulation and Power Equipment Xi an School of the College of Control Science and Engineering Zhejiang University China Institute of Cyber-Systems and Control Hangzhou Department of Mechanical Engineering City University of Hong Kong HK

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Non-contact particle cluster manipulation holds significant promise in the realms of advanced manufacturing, chemistry, and pharmacy. However, achieving precise and dynamic control over the spatial kinematics of particle clusters remains a significant challenge, necessitating real-time and accurately programmable robotic end-effector. To this end, we develop an innovative non-contact, precise particle cluster manipulation system with ultrasonic phased array transducer (PAT) under microscope. This system combines a physics-based deep learning algorithm for real-time calculation of phase-only holograms (POHs), supporting PAT to dynamically form acoustic fields, namely holographic acoustic end-effector (HAE). Leveraging the dynamically and accurately generated HAEs by our system, kinematics control of particle clusters including aggregation, rotation, and translation is yielded. The extensive experiments well demonstrated the effectiveness of proposed system for particle cluster manipulation.

关键词： Deep learning Visualization Translation Microscopy Heuristic algorithms Clustering algorithms Ultrasonic transducer arrays Kinematics Real-time systems End effectors

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Impact on mental health due to COVID-19 pandemic: A cross-sectional study in Bangladesh

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Clinical eHealth 2023年第1期6卷 42-52页

作者： Pathan, Refat Khan Biswas, Munmun Yasmin, Suraiya Uddin, Mohammad Amaz Das, Anindya Khandaker, Mayeen Uddin Faruque, M.R.I. Sarker, Moniruzzaman Dept. of Computing and Information Systems School of Engineering and Technology Sunway University Selangor Bandar Sunway 47500 Malaysia Dept. of Computer Science and Engineering BGC Trust University Bangladesh Chittagong 4381 Bangladesh Department of Computer and Information Science Tokyo University of Agriculture and Technology Koganei - 184-0012 Tokyo Japan Dept. of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong 4349 Bangladesh Dept. of Electrical and Electronic Engineering Chittagong University of Engineering and Technology Chittagong 4349 Bangladesh Center for Applied Physics and Radiation Technologies School of Engineering and Technology Sunway University Selangor Bandar Sunway 47500 Malaysia Space Science Centre Universiti Kebangsaan Malaysia 43600 UKM Selangor Bangi Malaysia Department of Marketing Sunway University Business School Sunway University Selangor Bandar Sunway 47500 Malaysia Faculty of Graduate Studies Daffodil International University Daffodil Smart City Birulia Savar Dhaka – 1216 Bangladesh

The government of Bangladesh has implemented the “Stay Home” policy following the WHO recommendation to resist the community transmission of Covid-19. As a result, the routine activities of all government, semi-government establishments, including educational institutions, are severely affected, and the country's economic growth becomes slowed down. To overcome such a situation, the relevant authorities have introduced the “Work from Home” policy for the employees and “Remote Education” for students. However, due to the persistence of multi-dimensional socio-economic problems, many employees and students face big challenges in performing their regular jobs while adopting such a policy. Consequently, enormous psychological anxiety has been developed for all people, including students, parents, employees, etc., and concurrently created severe changes in their behavior. This study aims to analyze the reasons for the behavioral changes of the employees, students, academic staff, and family members of different ages due to psychological anxiety, stress, or physical issues. A comprehensive online-based survey has been carried out on people working in various sectors in Bangladesh. A modified Apriori Algorithm has been used to sort out the associations between the causes and types of behavioral changes. Analyzed data revealed a massive human behavioral change in most participants. This finding indicates that the negligence of those significant human behavioral changes may cause a higher risk of creating psychological imbalance. Therefore, there is a need to have a solid understanding of the reasons for the behavioral changes and set up standard guidelines to maintain “Work from Home” in this Covid-19 situation to avoid psychological imbalance. Based on this study, some suggestions have been given for implementation by the government on an urgent basis. © 2023

关键词： Apriori algorithm Behavioral changes Covid-19 outbreak Family crisis Work from home

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