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检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15627 条记录，以下是1901-1910 订阅

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Application of nuclear magnetic resonance for the express-control of water concentration 4

Application of nuclear magnetic resonance for the express-co...

引用

4th international Youth conference on Radio Electronics, electrical and Power engineering, REEPE 2022

作者： Kozelkova, V.O. Ovseenko, G.A. Karachin, V.I. Kien, Nguyen Chi Van Tung, Tran Kozelkov, O.V. Kazan State Power Engineering University Instrumentation and Mechatronic Department Kazan Russia

ISBN: (纸本)9781665414340

This paper presents the application of the on-line nuclear magnetic resonance analyzer in the mechatronic complex for the express-control of water concentration and droplets size distribution (DSD) in the oil-water emulsions - alternative new fuels for power plants. Was elaborated the construction of mechatronic complex for measurements of PC-parameters of crude oils with incorporated in it system of representative liquid probe sampling with program of automatic operation. Were presented also the relations for the express-control by portable proton magnetic resonance (PMR) relaxometer. Was shown, that PMR-method on the basis of PMR-relaxometry is rapid, high informative and can be used in technology processes of crude oil preparation by water separation from oil. © 2022 IEEE.

关键词： Nuclear magnetic resonance

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Design and Implementation of a Damping controller in Microgrids

Design and Implementation of a Damping Controller in Microgr...

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2023 international conference on Evolutionary Algorithms and Soft computing Techniques, EASCT 2023

作者： Panda, Harshini Sivakumar, Pradeep Kumar Vels Institute of Science Technology and Advanced Studies Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350313413

The power generation and distribution sectors observe high-level penetration of Renewable Energy Sources (RESs) and Distributed Generators (DGs) due to several factors such as perpetual energy demand, nature of sources and load. Nevertheless, more specifically, the direct current (DC) micro grid is getting more attention over the conventional alternating current (AC) Micro rid for several benefits;for example, higher efficiency and reliability. This research work focus on three aspects the first one to design phase shift full bridge DC-DC converter with and discuss with various optimization techniques for implementing the Micro Grid. The second aspects to validate to implemented the Enthalpy Sigmoid Neuro-Fuzzy crowbar control using DFIG for power oscillation damping. The third aspects to analysis and implementation of a damping controller with renewable energy sources. The advantages and disadvantages of different protection and planning approaches are explained in detail. The effectiveness for the proposed strategy is proved. © 2023 IEEE.

关键词： Damping DFIG Enthalpy sigmoid neuro fuzzy Micrgrid Neurofuzzy crowbar

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Fault Detection and Diagnosis in Automotive control Systems using Machine Learning

Fault Detection and Diagnosis in Automotive Control Systems ...

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2023 international conference on Evolutionary Algorithms and Soft computing Techniques, EASCT 2023

作者： Jawalkar, Anil Pandurang Kumar, S Kiran Deshmukh, Ram Mounika, P. Manohara, H.T. Malla Reddy Engineering College for Women It Department Hyderabad India Cmr Engineering College Department of Computer Science and Engineering Hyderabad India Sr University Department of Electrical and Electronics Engineering Warangal India Cmr Technical Campus Department of Computer Science and Engineering Hyderabad India Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350313413

The Software Fault detection and diagnosis approaches supports to find the fault vulnerable constituents in the software development in early stages. An effective diagnosis approach can support test administrators to locate defects and defect-vulnerable software modules. The Feature Extraction (FE) process is the applicable solution to solve high dimensionality and polynomial time complexity issue in the prediction of software defect. In this research, a new fault detection approach is proposed by utilizing the Stacked Auto Encoder (SAE) with Support Vector Machine (SVM) and Artificial Neural Network (ANN). In this approach, the ANN is utilized for the diagnosis process to distribute the data named the fault type. Now, the input generates the Deep Neural Network as well as fuzzy depiction process. the outcome of these approaches is then integrated by the dense connected layers. The proposed SAE based SVM-ANN model attains better results by utilizing evaluation metrics like Accuracy, Precision, F1-score, and Area Under Curve (AUC) values about 99.87%, 99.52%, 99.82% and 0.99 respectively which is comparatively higher than existing techniques like Unsupervised Learning, SVM, Generative Adversarial Neural Network. © 2023 IEEE.

关键词： Artificial Neural Network Fault detection Fault diagnosis Stacked Auto Encoder and Support Vector Machine

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Final Program

Final Program

引用

international conference on electrical engineering, computing science and automatic control (CCE)

Presents the conference program.

ISBN: (数字)9781665455084

ISBN: (纸本)9781665455091

Presents the conference program.

关键词： electrical engineering computing Navigation Nanostructured materials Nanoscale devices Aerospace engineering Urban areas Universal Serial Bus

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Design and implementation of a multifunctional desktop robot for computer peripherals 6

Design and implementation of a multifunctional desktop robot...

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2024 6th international conference on Artificial Intelligence Technologies and Applications, ICAITA 2024

作者： Li, Huanzhou Xu, Hongxia Zhan, Minghui School of Electrical and Mechanical Engineering Guangdong University of Science and Technology Dongguan523083 China

As an important component of the intelligent machinery field, desktop robots not only enrich people's entertainment lives but are also gradually expanding into applications in education, healthcare, and other fields. However, existing products often struggle to meet the increasingly diverse needs due to short battery life and limited computing resources. In response to this challenge, this study designs a multifunctional desktop robot that can be used as a computer peripheral, which significantly improves power supply and computing capabilities. The design uses the STM32F4 series microcontroller as the main control chip, combined with high-performance servos and their self-developed driver boards, to achieve precise motion control. By integrating USB-HS PHY and USB-CDC protocol, the communication efficiency with the computer is greatly improved, and new screen-driving technology is developed using open-source routines, thus optimizing the user interaction experience. In addition, an innovative adaptive algorithm is incorporated into the firmware program, enhancing the robot's working stability in different environments. Through systematic hardware debugging and software testing, the robot can achieve efficient performance and stable response when executing complex tasks. This research will promote the expansion of desktop robot technology into broader application fields and support future intelligent work and lifestyle. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Firmware

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Probabilistic Method-Based control Design for Attitude System of Hypersonic Vehicles

Probabilistic Method-Based Control Design for Attitude Syste...

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international conference on Guidance, Navigation and control, ICGNC 2022

作者： Yang, Xiaohong Guo, Zongyi Jiang, Ruimin Guo, Jianguo Ningbo Institute School of Astronautics Northwestern Polytechnical University Xi’an710072 China

ISBN: (纸本)9789811966125

The traditional boundary-based design results in a conservative the attitude control system for the hypersonic vehicle. To address this problem, a probabilistic design-based attitude system control method is proposed in this paper. Compared with the traditional boundary-based design, the probabilistic method takes into account more aerodynamic uncertainty distribution characteristics and is more in line with practical engineering. The probabilistic method can balance the stability and performance of the system well, which can obtain the optimal design parameters that meet the requirements of the probability index. Firstly, the attitude model was established by the probability distribution method to quantify the uncertainty of aerodynamic parameters, and the PD controller was designed. Then, considering various distribution types, the probability method based on the R-F method is introduced, and sequential optimization and reliability assessment (SORA), an effective automatic optimization method of control parameters, is combined to design the optimal control parameters. Finally, the probability method is applied to the attitude control design, the design range of controller parameters satisfying the reliability index is obtained, and the Monte Carlo simulation results verify the effectiveness of the method in this paper. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Hypersonic vehicles

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Bio-inspired visual relative localization for large swarms of UAVs

Bio-inspired visual relative localization for large swarms o...

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2024 IEEE international conference on Robotics and Automation, ICRA 2024

作者： Křížek, Martin Vrba, Matouš Kulaš, Antonella Barišić Bogdan, Stjepan Saska, Martin Czech Technical University in Prague Faculty of Electrical Engineering Technická 2 Prague 6 Czech Republic Faculty of Electrical Engineering and Computing Zagreb10000 Croatia

ISBN: (纸本)9798350384574

We propose a new approach to visual perception for relative localization of agents within large-scale swarms of Unmanned Aerial Vehicles (UAVs). Inspired by biological perception utilized by schools of sardines, swarms of bees, and other large groups of animals capable of moving in a decentralized yet coherent manner, our method does not rely on detecting individual neighbors by each agent and estimating their relative position, but rather we propose to regress a neighbor density over distance. This allows for a more accurate distance estimation as well as better scalability with respect to the number of neighbors. Additionally, a novel swarm control algorithm is proposed to make it compatible with the new relative localization method. We provide a thorough evaluation of the presented methods and demonstrate that the regressing approach to distance estimation is more robust to varying relative pose of the targets and that it is suitable to be used as the main source of relative localization for swarm stabilization. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Quantum computing Classification for Amino Acids Based on Photoacoustic Signals Features

Quantum Computing Classification for Amino Acids Based on Ph...

引用

electrical engineering (ICEENG), 12th international conference on

作者： Tsang-Chia Chang Tsu-Wang Shen Department of Automatic Control Engineering Feng Chia University Taichung Taiwan

ISBN: (数字)9798350343427

ISBN: (纸本)9798350343434

Quantum computing technique is used to study the photoacoustic (PA) signals of amino acids. Amino acids are important molecules to make proteins for constructing all living things. The research searches the amino acid photoacoustic signal features by using wavelet signal processing, and then build a quantum circuit to predict the category of amino acids by using the loss function to optimize the feedback of the quantum circuit. In addition, the correlation among PA features, the electron-ion interaction pseudopotential (EIIP) values and Van der Waals volume (Vvdw) are observed.

关键词： Proteins electrical engineering Spirals Correlation Machine learning Signal processing Charge carrier processes

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An Unsupervised Drowsiness Detection Architecture Using Fuzzy Classifier 6

An Unsupervised Drowsiness Detection Architecture Using Fuzz...

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6th international conference on Intelligent computing and control Systems, ICICCS 2022

作者： Daphne, R.Reena Winowlinjappes, J.T. Brintha, N.C. Stella Mary's College of Engineering Department of Electrical and Electronics Engineering Tamilnadu India Kalasalingam Academy of Research and Education School of Automotive and Mechanical Engineering Tamilnadu India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu India

ISBN: (纸本)9781665410359

Accidents occur predominantly due to the loss of alertness of the driver or due to the drowsiness of the *** order to avoid such mishaps the continuous monitoring of the physiological signals like drowsiness and fatigue would provide the solution to avert the accidents before occurrence. The proposed Short Time Fourier Transform-based Improved Particle Swarm Optimization using Fuzzy Classifier (STFTIPSF) methodology makes use of STFT for yielding a good number of feature, fuzzy classifier for the classification as it is a rule-based one and IPSO procedure for focusing on the features and discovering the best threshold values. The Receiver Operating Characteristics (ROC) presents the classification accuracy. © 2022 IEEE.

关键词： Feature extraction

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IoT-based automatic Pan Evaporimeter Monitoring and Irrigation control System for Crops 8

IoT-based Automatic Pan Evaporimeter Monitoring and Irrigati...

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8th international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Kabir, Md Shahriar Niloy, Khalid Mahmud Hossen, Md Imon Afrose, Sumaiya Mofazzol, Md. Ismail Hossain American International University-Bangladesh Dept. of Electrical & Electronics Engineering Dhaka Bangladesh Uttara University Dept. of Computer Science Engineering Dhaka Bangladesh

ISBN: (纸本)9798350376425

This research study intends to automate the manual pan evaporimeter system and scheduling irrigation by considering soil water content and crop evapotranspiration. Automating the pan evaporimeter means performing tasks without human intervention, such as measuring the daily water evaporation amount, calculating and storing data, and refilling the pan with water. A waterproof ultrasonic sensor was used to measure the water evaporation amount. The ultrasonic sensor was installed on an innovatively designed structure facing the pan's water surface. The sensor measured the distance between the water surface and the sensor. The surface level decreased as the water evaporated over time, which caused an increment in the distance between the ultrasonic and water surfaces. By this, the sensor calculated the daily evaporation amount. The pan needed to be refilled when all water evaporated;a submersible pump was used to refill the pan automatically. A relay switch controlled the pump, and a microcontroller turned on the switch based on sensor value. The entire setup was IoT-enabled to monitor and control the system remotely on a mobile device. The entire system was backed up by solar energy to run on clean energy. A solenoid valve was used to control the flow of irrigation water. Pan evaporation estimated the amount of water that could be lost owing to evaporation and transpiration. Soil moisture sensors provided a direct measurement of the amount of water present in the soil. The two combined generated a dynamic and responsive irrigation plan that maximized water use and promoted the healthy development of crops. That approach was used. The ultrasonic sensor accurately measured water evaporation, but the installation process was complex. So, a need arises to develop a simple system or scale-type sensors to overcome the complexity. © 2024 IEEE.

关键词： Solenoid valves

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