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Raman spectral property of ASR-reactive aggregate and products

Zairyo/Journal of the Society of Materials Science, Japan 2021年第4期70卷 287-292页

作者： Takaya, Satoshi Miura, Taito Ueda, Naoshi Hamura, Yohei Dept. of Urban Management Kyoto Univ. Nishikyo-ku Kyoto615-8540 Japan Dept. of Civil Engineering Nagoya Univ. Chikusa-ku Nagoya464-8603 Japan Dept. of Civil Environmental and Applied System Engineering Kansai Univ. Yamate-cho Suita564-8680 Japan Testing and Analysis Div. Shimadzu Techno-Research Inc. Nkagyo-ku Kyoto604-8436 Japan

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An Approach to Blood Cell Classification Based on Object Segmentation and Machine Learning

An Approach to Blood Cell Classification Based on Object Seg...

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Sergii Kovalenko Svitlana Kovalenko Olena Mikhnova Anton Kovalenko Daniil Pelikh Valeriy Severin dept. of System Analysis and Information-Analytical Technologies National Technical University “KhPI” Kharkiv Ukraine dept. of Software Engineering and Management Intelligent Technologies National Technical University “KhPI” Kharkiv Ukraine dept. of Cyber Security and Information Technologies State Biotechnological University Kharkiv Ukraine

The study proposed an approach to cells classification in a blood smear image, consisting of two stages: object segmentation and application of machine learning methods to determine the cell type. To apply this approach, a dataset consisting of cell type labels and the corresponding cell area was created. Object segmentation was performed using image processing methods: noise removal, image binarization, contouring, and area determination using the Gaussian formula. The obtained data set was pre-processed: duplicate data and outliers were removed, and the data was divided into testing and training sets. Training for Gaussian Naive Bayes Classifier, Decision Tree Classifier, Random Forest, Support Vector Classifier models were performed. It was found that the accuracy of all classifiers is 97-98%. In addition, metrics were calculated to evaluate the effectiveness of the models. The Decision Tree Classifier method was chosen to apply the approach to cell classification on new images. All image processing, data collection and processing, model training and evaluation were performed using the Python programming language and relevant libraries.

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Improving the Performance of the Electric Vehicle Suspension system Using Sliding Mode controller and PID controller 3

Improving the Performance of the Electric Vehicle Suspension...

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3rd IEEE International Conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Ahmed, Abdussalam Ali Ramadhan, Hisham. F. A. Emheisen, Mustafa Nassar, Yasser Fathi Oubelaid, Adel Bajaj, Mohit Saini, Parvesh Choudhury, Subhashree Bani Waleed University Mechanical Engineering Department Bani Waleed Libya College of Electronic Technology Control System Engineering Bani Walid Libya Bani Waleed University Electrical Engineering Department Bani Waleed Libya Wadi Alshatti University Mechanical and Renewable Energy Eng. Dept. Brack Libya Université de Bejaia Laboratoire de Technologie Industrielle et de l'Information Faculté de Technologie Bejaia06000 Algeria Department of Electrical Engineering Dehradun248002 India Graphic Era Hill University Department of Electrical Engineering Dehradun248002 India Dept. of Eee Bhubaneswar India

ISBN: (纸本)9798350319972

The purpose of this paper is to show how to identify and handle suspension system vibrations using two different control strategies: Sliding Mode control (SMC) and a Proportional Integral Derivative (PID) controller. A four-degree-of-freedom (4DOF) half-car suspension model is used. Suspension performance factors such as ride comfort, suspension deflection, and vehicle handling necessitate a thorough control system. This control system, which is carried out with the MATLAB application, is made up of three components: the controller, the suspension system model, and input signals (road profile and actuator force). The simulation results illustrate a comparison between the uncontrolled suspension system and the half-car active suspension system's PID and SMC controllers. © 2023 IEEE.

关键词： Three term control systems

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface

Optical Evanescent Field for Direct Observation of Sub-100nm...

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Robotics, engineering, Science, and Technology (RESTCON), International Conference on

作者： Panart Khajornrungruang Thitipat Permpatdechakul Keisuke Suzuki Aran Blattler Yutaka Terayama Daiki Goto Pipat Phaisalpanumas Natthaphon Bun-Athuek Amornphun Phunopas Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Mechanical Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Mechanical Information Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Mechanical Science and Technology Course Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Industiral Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Mechanical Engineering Technology College of Industrial Technology King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes.

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A Review of Rotation Mechanical Fault Diagnosis Research Based on Deep Domain Adaptation

A Review of Rotation Mechanical Fault Diagnosis Research Bas...

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IEEE International Conference on Big Data Computing Service and Applications (BigDataService)

作者： Shun Zhang Gang Xie Juan Tian Hui Shi Xiaohong Zhang Xiaoyin Nie Xinlin Xie Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan China dept. of Electronic and Information Engineering Taiyuan University of Science and Technology Taiyuan China Division of Industrial and System Engineering Taiyuan China

With the rapid development of computer technology and the Internet of Things (IoT), a large amount of data containing both healthy and faulty states can be collected from existing devices in factories. However, the usable faulty state data is scarce. Transfer learning makes it possible to train efficient and reliable neural networks with a small number of samples. Domain adaptation, as a branch of transfer learning, can effectively realize knowledge transfer between small sample data. Starting from three subcategories of deep learning-based domain adaptation methods, this article summarizes the latest research achievements and provides insights into future research directions.

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PIDDNet: RGB-dept. Fusion Network for Real-time Semantic Segmentation

PIDDNet: RGB-Depth Fusion Network for Real-time Semantic Seg...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Yunsik Shin Chaehyun Lee Yongho Son YangGon Kim Junghee Park Jun Won Choi Dept. Electrical Engineering Hanyang University Seoul South Korea Dept. Ground Control System S/W LIG Nex1 Co. Ltd. Seongnam South Korea Dept. Artificial Intelligence Hanyang University Seoul South Korea

For RGB semantic segmentation, a two-branch network was proposed to effectively utilize both local detail information and global contextual information within an RGB image. This architecture combines a shallow spatial path with a deeper context path, resulting in high performance and FPS. Research on RGB-dept. segmentation has shown the performance gain that the dept. map could provide complementary information to the RGB model. However, the advantage of fusing RGB and dept. map within a two-branch network framework is unclear due to the distinct characteristics of these modalities. To address this, we present a novel fusion RGB-dept. architecture that takes into account the attributes of local context, global context, RGB, and dept. map. Through the bidirectional image dept. fusion technique, we effectively leverage each of the modalities, achieving a performance of 81.23 mIoU. This marks a gain of 1.27% when compared to the RGB-only model and 0.45% when contrasted with the element-wise feature addition fusion baseline.

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Influence of Specimen Selection on Lifetime Prediction of Low Voltage Electrical Machines Under Variable Temperature Aging

Influence of Specimen Selection on Lifetime Prediction of Lo...

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IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific)

作者： Xuanming Zhou Yatai Ji Paolo Giangrande Weiduo Zhao Michael Galea Salman Ijaz Key Laboratory of More Electric Aircraft Technology of Zhejiang Province University of Nottingham Ningbo China Ningbo China Department of Electrical Engineering Tsinghua University Beijing China Dept. of Engineering and Applied Sciences University of Bergamo Dalmine Italy Dept. of Electrical Engineering University of Malta Msida Malta Control System Labrotary University of Nottingham Ningbo China Ningbo China

ISBN: (数字)9798331529277

ISBN: (纸本)9798331529307

To a great extent, electric machine (EM) lifetime is affected by electrical failures that compromise the integrity of the windings electrical insulation system (EIS). During EMs operation, the EIS suffered various stresses, such as, thermal, electrical, mechanical and ambient (TEAM), which lead the deterioration and decrease the dielectric property of EIS. However, under rated operating conditions, the entire degradation process can take several years before insulation breakdown occurs. Thus, accelerated lifetime tests (ALT) are conventionally performed on various high stress level. Furthermore, the suitable specimen topology should be chosen according to the ALT task objectives, which is also crucial to the resulted lifetime values. In this paper, ALTs at variable temperature profile are performed using two types of specimens (i.e., coils and motorettes). Then, the collected lifetime data are analyzed by statistical tools and the underlying stress mechanism is discussed. Finally, the thermal-mechanical stress is pointed out as the primary factor contributing to lifetime prediction mismatch.

关键词： Insulation Temperature Windings Transportation Life estimation Lifetime estimation Topology Temperature control Stress Thermal stresses

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MMC Based D-STATCOM control by Using a Modified ADRC Strategy

MMC Based D-STATCOM Control by Using a Modified ADRC Strateg...

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IEEE Annual Southern Power Electronics Conference (SPEC)

作者： João A. Moor Neto Alessando R. Zachi Braulio Chuco Paucar Thiago Americano Do Brasil Samir Ahmad Mussa Department of Electrical Engineering CEFET-RJ Rio de Janeiro Brazil Department of Control System and Automation Engineering CEFET-RJ Rio de Janeiro Brazil Dept. of Electrical and Electronic Engineering UFSC - SC Florianopolis Brazil

This paper presents investigations of a transformerless half bridge sub-module (HBSM) modular multilevel converter based distribution static synchronous compensator (MMC D-STATCOM) performance in reactive power compensation considering the application of the modified ADRC controllers in the inner current loop and in the outer DC voltage loop using Synchronous Reference Frame control. Simulation results with the imposition of severe variations in reactive loads were obtained on a 5 km medium voltage feeder and will demonstrate that the modified ADRC controller enables superior performance for flexible operation with fast and efficient response of the MMC D-STATCOM in reactive power compensation.

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Trajectory Tracking for the Quadcopter UAV utilizing Fuzzy PID control Approach

Trajectory Tracking for the Quadcopter UAV utilizing Fuzzy P...

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2020 International Conference on Computer, control, Electrical, and Electronics engineering, ICCCEEE 2020

作者： Eltayeb, Ahmed Rahmat, Mohd Fuaad Eltoum, M. A Mohammed Ibrahim, M. H. Sanhoury Basri, Mohd Ariffanan Mohd Universiti Teknologi Malaysia School of Electrical Engineering Faculty of Engineering Skudai Johor1310 Malaysia Kfupm University Faculty of Computer Science and Engineering System Engineering Dept Dhahran31261 Saudi Arabia Alneelain University College of Engineering Dept. of Control Engineering Khartoum Sudan

ISBN: (纸本)9781728191119

Currently, the quadcopter Unmanned Aerial Vehicles (UAVs) are playing a significant role in combating the COVID-19 pandemic crisis, which induced the researchers to design robust control techniques. In this paper, a fuzzy PID controller is designed to stabilize and/or track the desired trajectory of the quadcopter UAV. The mathematical model of the quadcopter UAV has been briefly presented, where it has been divided into two portions, the position dynamic and the attitude dynamic subsystems. Subsequently, a robust fuzzy PID controller has been designed for both the inner loop and outer loop to control and stabilize the position and the attitude of the quadcopter, which adaptively manipulate the system's input based on the tracking error. The proposed controller is benchmarked with the conventional PID controller to show the robustness of the fuzzy PID controller. Fuzzy PID controller has been verified through simulation work utilizing Matlab/Simulink, where better performance is achieved compared with the conventional PID controller. It is found that the errors in the quadcopter's attitude and position have been significantly reduced through using fuzzy PID controller by 70% and 87%, respectively. © 2021 IEEE.

关键词： Simulink

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On the Use of MPC Techniques to Decide Intervention Policies against COVID-19

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IFAC-PapersOnLine 2021年第14期54卷 476-481页

作者： Zonglin Liu Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany.

This paper aims at demonstrating how and that model predictive control (MPC) strategies can be used to determine optimal intervention policies against the COVID-19 pandemic. Especially for the time after a first wave of infection and before a vaccine can be safely distributed to a sufficient extent, the intervention experience from the first outbreak can be utilized to guide the policy decision in this period. The MPC problem in this paper takes the pandemic in different regions of a country and its neighboring countries into account, while policies such as wearing masks or social distancing are selected as inputs to be optimized. This optimized policy balances the risk of a second outbreak and socio-economic costs, while considering that the measure should not be too severe to be rejected by the population. Effectiveness of this policy compared to standard intervention policies is compared through numerical simulations.

关键词： Biomedical systems Networked systems Nonlinear Model Predictive control

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