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International Future Energy Electronics Conference (IFEEC)

作者： Minh-Ngoc Nguyen Manh-Hai Pham Yuan-Kang Wu Ngoc-Trung Nguyen Faculty of Electrical and Electronic Engineering Phenikaa University Hanoi Vietnam Faculty of Energy Technology Electric Power University Hanoi Vietnam National Chung-Cheng University Chiayi Taiwan Control and Automation Faculty Electric Power University Hanoi Vietnam

ISBN: (纸本)9781665434492

Along with the rapid development of solar energy sources on the global power system, the challenges related to the weather instability of this power type are also of increasing concern. Intending to solve these challenges, the study of solar power forecasting has become one of the most important problems in the power system field. Most of the published forecast algorithms aim to minimize prediction errors. However, in reality, convenience and data processing time are two necessary goals to commercialize a forecasting software. Recently, IoT is emerging as an effective solution to solve the above multi-objective problem. Especially, in the current trend of real-time forecasting, the application of Edge Computer in the IoT environment is bringing new opportunities for the goal of reducing data processing time while ensuring acceptable forecast errors. Moreover, Edge Computer also reduces the risk of network congestion due to its distributed processing characteristics. This paper introduces a new methodology using Edge Computer combined with the LSTM algorithm applied to the solar power forecasting problem. Real-time calculation results show that the accuracy can be improved by the good choice of the converted data type while the execution time is halved compared to without using Edge Computer.

关键词： Software algorithms Weather forecasting Solar energy Power system stability Data processing Prediction algorithms Real-time systems

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A New Escherichia coli Biosensor Based on Gold Plated Tungsten Wires and Antibody Functionalized Short Multi-Walled Carbon Nanotubes

SSRN

引用

SSRN 2022年

作者： Ertaş, Tahsin Dinc, Bircan Üstünsoy, Recep Eraslan, Hülya Ergenç, Ali Fuat Bektaş, Muhammet Department of Biophysics Istanbul Faculty of Medicine Istanbul University Istanbul Turkey Biophysics School of Medicine Bahcesehir University Istanbul Turkey Biophysics School of Medicine Atlas University Istanbul Turkey Istanbul Technical University Control and Automation Engineering Department Istanbul Turkey Adıyaman University Faculty of Medicine Department of Biophysics Adıyaman Turkey

Rapid and easy detection of pathogens, especially bacteria play an important role in daily life as we are facing increasing pollution. Trending research particularly focuses on nanotubes, which can bind different molecules to large surface areas and have high electron conductivity. They are widely employed in the development of electrochemical *** study presents a new design of an electrochemical biosensor integrated with gold tungsten wires and acid-functionalized multi-walled carbon nanotubes involving a two-step coating process Gold-plated tungsten wires are coated with acid-functionalized short multi-walled carbon nanotubes. FTIR and SEM analysis results present that immobilization of the electrodes is efficient. The detection performance of Escherichia coli K-12 is evaluated via the changes in electrical currents after antibody-antigen interactions. Bioimpedance measurements are performed at a certain frequency range. The measurements exhibit the electrode has a high detection capability for 0.8 CFU/mL. The response of the electrode saturates when the bacterial concentration is increased to 1.70x102 CFU/mL. The study reveals that the new biosensor is capable of detecting E. coli with a linear range between 8x10-1-1.70x102 CFU/mL. The data demonstrate that this multi-walled carbon nanotube-based biosensor can be developed into a high-sensitivity detection device for Escherichia coli. © 2022, The Authors. All rights reserved.

关键词： Antibodies

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EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

arXiv

引用

arXiv 2023年

作者： Peng, Mai Yazdani, Delaram She, Zeneng Yazdani, Danial Luo, Wenjian Li, Changhe Branke, Juergen Nguyen, Trung Thanh Gandomi, Amir H. Yang, Shengxiang Jin, Yaochu Yao, Xin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Research Institute Faculty of Engineering and Technology Liverpool John Moores University United Kingdom School of Computer Science and Technology Harbin Institute of Technology China Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies School of Computer Science and Technology Harbin Institute of Technology Peng Cheng Laboratory China School of Artificial Intelligence Anhui University of Sciences & Technology China Information Systems Management and Analytics in Warwick Business School University of Warwick United Kingdom Faculty of Engineering & Information Technology University of Technology Sydney Australia Obuda University Hungary School of Computer Science and Informatics De Montfort University United Kingdom Department of Artificial Intelligence School of Engineering Westlake University China School of Computer Science University of Birmingham United Kingdom

Many real-world optimization problems exhibit dynamic characteristics, posing significant challenges for traditional optimization techniques. Evolutionary Dynamic Optimization Algorithms (EDOAs) are designed to address these challenges effectively. However, in existing literature, the reported results for a given EDOA can vary significantly. This inconsistency often arises because the source codes for many EDOAs, which are typically complex, have not been made publicly available, leading to error-prone re-implementations. To support researchers in conducting experiments and comparing their algorithms with various EDOAs, we have developed an open-source MATLAB platform called the Evolutionary Dynamic Optimization LABoratory (EDOLAB). This platform not only facilitates research but also includes an educational module designed for instructional purposes. The education module allows users to observe: a) a 2-dimensional problem space and its morphological changes following each environmental change, b) the behaviors of individuals over time, and c) how the EDOA responds to environmental changes and tracks the moving optimum. The current version of EDOLAB features 25 EDOAs and four fully parametric benchmark generators. © 2023, CC BY-NC-SA.

关键词： Optimization algorithms

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Synergy Analysis of Industrial, Research and University Training Centers Collaboration: A Case Study in Thailand's Eastern Economic Corridor

Synergy Analysis of Industrial, Research and University Trai...

引用

Portland International Conference on Management of engineering and Technology (PICMET)

作者： Udom Lewlomphaisarl Ukrit Pungjitwisut Wassana Pullpol Kumpee Suksomboon Arnuphap Dowrueng Industrial IoT and Automation Research Group (IIARG) Sustainable Manufacturing Center (SMC) Eastern Economic Corridor of Innovation (EECi) Rayong Thailand EEC Automation Park Faculty of Engineering Burapha University Chonburi Thailand Intelligent SCADA Technology Research Team (IST) Advanced Control and Electronics Research Group (ACERG) National Electronics and Computer Technology Center (NECTEC) Pathum Thani Thailand National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand

The Royal Thai Government has outlined a 20-year strategy to achieve high-income status by 2036. “Thailand 4.0” is guided by the concept of “Industry 4.0”, which aims to transform the country into an innovative, value-driven industry, with a focus on 12 areas such as automation & Robotics, Aviation & Logistics, Biofuel & Biochemicals, and Digital. The development of Eastern Economic Corridor (EEC) lies at the heart of Thailand 4.0 scheme. The EEC is an area-based development initiative aimed at revitalizing the prestigious East Coast, where numerous business developers have experienced a rewarding investment journey and exceptional success over the past 30 *** paper introduces a synergy analysis of the 3-phase collaboration approach between the EEC automation Park located on the campus of Burapha University as the main university in the EEC and the Sustainable Manufacturing Center (SMC) at automation Robotics and Intelligent System (ARIPOLIS) in Eastern Economic Corridor of Innovation (EECi) with strong partners from industry e.g. Mitsubishi Electric Factory automation (Thailand) Limited. This 3-phase approach:}{1. Build an island demonstrator, 2. Link production demonstration lines and 3. Transfer to 100 factories in the EEC helps managers realize possible difficulties and systematically prepare solutions in advance.

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Optimizing Neural Network Image Classification with Fractional Order Gradient Methods

SSRN

引用

SSRN 2023年

作者： Zhao, Haiming Chen, Jiejie Jiang, Ping Zeng, Zhigang Fan, Rui Yang, Honggang School of Computer and Information Engineering Hubei Normal University Huangshi435000 China School of Automation Wuhan University of Technology Wuhan430000 China School of Computer Hubei PolyTechnic University Huangshi435000 China Faculty of Artificial Intelligence Education Central China Normal University Wuhan430000 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430000 China Key Laboratory of Image Information Processing and Intelligent Control Ministry of Education of China Wuhan430000 China

As deep learning technology increasingly permeates various fields, the significance of optimization algorithms in neural network training has become more prominent. Typically, the training of deep learning networks relies on gradient descent optimizers based on calculus computations. Traditional integer-order calculus optimizers often fall short when dealing with complex and subtle data. To overcome these limitations, we innovatively utilized the Grünwald-Letnikov and Caputo definitions of fractional calculus to develop two new optimization algorithms: Fractional Order Adagrad (FAdagrad) and Fractional Order Adam (FAdam). These algorithms have been proven to converge to extremal points.A key advantage of our methods is their capability in handling complex, high-dimensional tasks, such as artistic painting image classification, where they exhibit exceptional performance in recognizing and processing subtle differences. The robustness and adaptability of these algorithms were further validated through experiments on the CIFAR-100 dataset. The results demonstrate the efficacy of fractional order optimizers in enhancing training efficiency and accuracy. © 2023, The Authors. All rights reserved.

关键词： Image classification

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Distributed formation control for manipulator end-effectors

arXiv

引用

arXiv 2021年

作者： Wu, Haiwen Jayawardhana, Bayu De Marina, Hector Garcia Xu, Dabo Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Groningen9747 AG Netherlands Department of Computer Architecture and Automatic Control Faculty of Physics Universidad Complutense de Madrid Madrid28040 Spain School of Automation Nanjing University of Science and Technology Nanjing210094 China

We present three classes of distributed formation controllers for achieving and maintaining the 2D/3D formation shape of manipulator end-effectors to cope with different scenarios due to availability of modeling parameters. We firstly present a distributed formation controller for manipulators whose system parameters are perfectly known. The formation control objective is achieved by assigning virtual springs between end-effectors and by adding damping terms at joints, which provides a clear physical interpretation of the proposed solution. Subsequently, we extend it to the case where manipulator kinematic and system parameters are not exactly known. An extra integrator and an adaptive estimator are introduced for gravitational compensation and stabilization, respectively. Simulation results with planar manipulators and with seven degree-of-freedom humanoid manipulator arms are presented to illustrate the effectiveness of the proposed approach. Copyright © 2021, The Authors. All rights reserved.

关键词： Manipulators

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Safety Verification for Impulsive Systems ⁎

引用

IFAC-PapersOnLine 2020年第2期53卷 1949-1954页

作者： Petro Feketa Sergiy Bogomolov Thomas Meurer Chair of Automatic Control Faculty of Engineering Kiel University 24143 Kiel Germany Newcastle University UK Australian National University Australia

The problem of safety verification for a subclass of hybrid systems, namely for impulsive systems with fixed moments of jumps is considered. Sufficient conditions are derived for the safety of impulsive systems whose continuous dynamics may steer the state outside the safe region. For this purpose auxiliary barrier certificates with nonlinear rates are introduced and equipped with appropriate dwell-time conditions which restrict the upper bound for the inter-jump interval in order to ensure the desired safety property. The proposed approach is demonstrated by performing safety verification of linear and nonlinear impulsive systems.

关键词： Safety analysis Hybrid systems Impulsive systems Barrier certificates Nonlinear rate functions

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Numerical Investigation of Localized Surface Plasmon Resonance (LSPR) based Sensor for Glucose Level Monitoring

Numerical Investigation of Localized Surface Plasmon Resonan...

引用

First International Symposium on Instrumentation, control, Artificial Intelligence, and Robotics (ICA-SYMP)

作者： Kawintida Santavanond Charusluk Viphavakit Wisarn Patchoo Hala El-Khozondar Waleed Mohammed Faculty of Engineering International School of Engineering Chulalongkorn University Bangkok Thailand Faculty of Engineering International School of Engineering Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University Bangkok Thailand The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand Islamic University of Gaza Gaza Palestine The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand

ISBN: (数字)9781728187600

ISBN: (纸本)9781728187617

This study aims to apply Localized Surface Plasmon Resonance (LSPR), Maxwell Garnett's formula, and Fabry-Perot theory together to design and develop a LSPR enhanced gold colloidal nanoparticles (AuNPs) sensor to be used in biomedical applications such as detection of glucose level in urine for early stage screening of diabetic patients. In this work, the LSPR based sensor has been designed and studied numerically to detect the glucose level from the change in the effective index resulting in a red shift of the absorption peak. The sensors were designed to have various sizes of the gold nanoparticles in a range between 20 nm and 100 nm by having different molar ratio with Trisodium Citrate (TSC) which acts as stabilizer in the synthesis. The maximum possible sensitivity of the sensor can be achieved with 70 nm diameter of gold nanoparticles at 0.2 volume fraction of AuNP to glucose solution.

关键词： Nanoparticles Gold Sensitivity Robot sensing systems Glucose Optical sensors Surface plasmons

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Distributed formation control of manipulators' end-effector with internal model-based disturbance rejection

arXiv

引用

arXiv 2021年

作者： Wu, Haiwen Jayawardhana, Bayu de Marina, Hector Garcia Xu, Dabo Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Groningen9747 AG Netherlands Department of Computer Architecture and Automatic Control Faculty of Physics Universidad Complutense de Madrid Madrid28040 Spain The School of Automation Nanjing University of Science and Technology Nanjing210094 China

This paper addresses the problem of end-effector formation control for manipulators that are subjected to external disturbances: input disturbance torques and disturbance forces at each end-effector. The disturbances are assumed to be non-vanishing and are superposition of finite number of sinusoidal and step signals. The formation control objective is achieved by assigning virtual springs between end-effectors, by adding damping terms at joints, and by incorporating internal model-based dynamic compensators to counteract the effect of the disturbances;all of which presents a clear physical interpretation of the proposed approach. Simulation results are presented to illustrate the effectiveness of the proposed approach. © 2021, CC BY.

关键词： End effectors

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Production Scheduling Application Software for Small Medium Enterprises

Production Scheduling Application Software for Small Medium ...

引用

International Conference on System Science and engineering (ICSSE)

作者： Xuan-Thuyen Le The-Anh-Tu Nguyen Ngoc-Hieu Pham Ngoc-Huy Tran Innovation Fablab Ho Chi Minh City University of Technology (HCMUT) VNU-HCM Ho Chi Minh City Vietnam Department of Control & Automation Faculty of Electrical & Electronics Engineering Ho Chi Minh City University of Technology (HCMUT) VNU-HCM Ho Chi Minh City Vietnam Department of Mechatronics Cao Thang Technical College Ho Chi Minh City Vietnam

Derived from the current implementation of the production plan as well as the production schedule, Enterprise Resource Planning software with a built-in production scheduling algorithm helps optimize the uses of resources, reduce production time, increase productivity, and increase customer service levels. In this research, the available management platform (Odoo) with Python as the main programming language is proposed to build a system to support suitable schedule production plans helps shorten processing time and reduce order delay. In addition, the results are shown in detail and can be flexibly modified manually on the Gantt chart. The feasibility of the production scheduling application is shown by the Gantt chart before and after the scheduling. Moreover, the order delay rate has been reduced from 15% to 3.33%.

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