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Genetic Based Fuzzy Logic control of SEDC Motor

Genetic Based Fuzzy Logic Control of SEDC Motor

引用

2023 International conference on Computer Communication and Informatics, ICCCI 2023

作者： Aarthi, N. Anbarasu, P. Nagarajan, D. Sajitha Banu, A. Vinosh, M. Dr. Mahalingam College of Engineering and Technology Department of EEE Pollachi India Sri Eshwar College of Engineering Department of EEE Coimbatore India JCT College of Engineering and Technology Department of EEE Coimbatore India PSNA College of Engineering and Technology Department of Physics Dindigul India Sri Krishna College of Engineering and Technology Department of Mechanical Engineering Coimbatore India

ISBN: (纸本)9798350348217

This thesis primarily aims at offering an efficient technique of speed control for the small, independently excited SEDC motors utilised in a variety of applications, including industrial, commercial, and medical. The major objective of this work is to suggest a practical approach for controlling the speed of these weak motors. The natural optimization technique known as the genetic algorithm is employed in the suggested way to enhance the speed-controlled operation of the SEDC motor. The goal of this thesis work is to improve the values of several Performance parameters, such as rising time, time taken to settle, time taken to fall, peak overshoot, and steady state error, in order to regulate the motor in an efficient manner. The motor is operated using both the conventional PI controller and GA optimized controller MATLAB version R2013a was used to generate the SIMUINK MODEL for both controller operations. In terms of SEDC motor control, the proposed GA-optimized controller performs the best. © 2023 ieee.

关键词： Genetic algorithms

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Feedback control-Based Smart Dispatch Operation Schemes in New Power Systems

Feedback Control-Based Smart Dispatch Operation Schemes in N...

引用

2023 International conference on Power System technology, PowerCon 2023

作者： Zhang, Yuying Ning, Dalei Shi, Yu Jia, Yujian Qu, Hanbing Zhao, Pu Shan, Pengbo Jinan Power Supply Company State Grid Corporation Jinan China School of Electrical Engineering Shandong Univeristy Jinan China

ISBN: (纸本)9798350300222

In the new power systems, the integration of renewable generations and applications of smart appliances/flexible load pose challenges to the operations and dispatch schemes of the grid. Based on the next generation smart and telecommunication monitoring system, this paper proposes an effective approach for smart dispatch schemes in the multi-agent power grid, and it is achieved using the semi-tensor product (STP) of matrices. The power supply and consumption correlations between conventional plant, distributed generations and flexible loads in the power networks are firstly modelled. Then, considering the dynamics of the nonlinear system, the dispatch schemes of the power plant is proposed via the means of designing the feedback controllers. Finally, a practical example is presented, where the results are analyzed and discussed. © 2023 ieee.

关键词： Multi agent systems

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Hazardous Gas Monitoring in Drainage using IoT 2

Hazardous Gas Monitoring in Drainage using IoT

引用

2nd International conference on Emerging Trends in Information technology and Engineering, ic-ETITE 2024

作者： Saraswathi, P. Prabha, M. Vijay Ananth, K.S. Ezhumalai, M. Akchaykumar, R. Velammal College of Engineering and Technology Department of Information Technology Madurai India

ISBN: (纸本)9798350328202

On the entire surface of the planet,gas is a rich resource. Because some of the fumes are so hazardous, human life may be at stake. Although it cannot be totally halted, it may be managed and monitored to protect the security of the workers who perform physical labor in the drainage area. Among the most dangerous gases in the environment are hydrogen sulfide and ammonia. Methane, carbon dioxide, sulfur dioxide, and nitrous oxides are also included in sewer gas. The amount of gases is also significantly influenced by temperature and humidity. The main micro-controller, the IoT-based Espressif ESP32 DevKit V1 Board, is connected to several of the sensors that can detect these gases. Data is transmitted to the cloud using the integrated WiFi module. The sensor data quality is crucial for Internet of Things (IoT) applications since low sensor data quality renders them unusable. The IoT-based harmful gas monitoring, control, and prediction system is enhanced by the detection of flaws in sensor data. Any time the threshold level increases, a prompt alert message is sent to the relevant system or department. Water is sprayed in the drainage area, neutralizing the hazardous gases, even if it takes some time to manage the increasing gas, and the drainage valve is closed when an alert message is received. Live data from sensors or datasets should be thoroughly analyzed using the appropriate approaches in order to detect growing gases utilizing statistics and data comparisons analyzed by defining the threshold value. © 2024 ieee.

关键词： Gases

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Artificial Neurons - Transistor Based Implementation

Artificial Neurons - Transistor Based Implementation

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2023 ieee International conference on Next Generation Electronics, NEleX 2023

作者： Bangaru, Haripriya Nirmal, Adwaith Reddy, Metta Vidhaya Datta Neelam, Aruna Kumari School of Electronics Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350319088

In-memory computing architectures have emerged as a possible answer to the associated memory and processing difficulties posed by advancements in AI. The significance of artificial neurons implemented in transistor-based neural network applications is emphasized in this article. These implementations provide benefits such as parallel processing, speed, efficiency, energy conservation, adaptability, scalability, and reduced latency by utilizing VLSI, making them ideal for applications requiring rapid decision-making and fine-tuned control in comparison to biological neurons. The applications of artificial neurons in real-time scenarios and its coordination in hardware capabilities with the dynamic requirements of modern artificial intelligence systems are shown. The FET- based Spiking Neuron and a circuit that uses less power of a leaky integrate-and-fire neuron are discussed, addressing energy efficiency and efficient spiking behavior. A self-mending CMOS neuromorphic circuit contributing to robustness and fault tolerance in artificial neural systems and a CMOS implementation of LIF and Spike Timing Dependent Plasticity (STDP) mechanisms that reflect biological learning processes are shown. The exploration of the revised Axon-Hillock (AH) Artificial Neuron and its utility extends the understanding of neuron models, while the characteristics of a threshold switching memristor offer insights into potential hardware enhancements for neural network architectures. © 2023 ieee.

关键词： Memristors

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Study on Roll Oscillation Phenomenon and controller Design of Deflection-based Flying Vehicles 10

Study on Roll Oscillation Phenomenon and Controller Design o...

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10th International conference on Dependable Systems and Their applications, DSA 2023

作者： Wei, Wei Shu, Yongjie Ke, Zhifang Fan, Kangdi Dong, Linwei Beijing Institute of Technology School of Mechanical Engineering Beijing China Beijing Institute of Technology National Key Laboratory of Vehicular Transmission Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China Beijing Institute of Technology Institute of Advanced Technology Shandong Jinan China

ISBN: (纸本)9798350304770

Flying vehicles are considered a promising solution for enhanced transportation;however, existing configurations face limitations in terms of flexibility. The introduction of deflection servos has shown to enhance maneuverability and flexibility of flying cars, but it also leads to an increase in roll angle oscillation, thereby posing challenges for control. The application of controllers designed for quadrotor UAVs to deflection-based flying vehicles is inadequate due to structural differences. To address this issue, this paper proposes a flight controller incorporating deflection angle feedback. Simulation results demonstrate a reduction of 62.6% and 57.5% in the amplitude of roll angle oscillation during hover and forward flight conditions, respectively, when compared to a flight controller lacking deflection feedback. These findings indicate that the designed controller enhances flight stability and facilitates the broader implementation of deflection-based flying vehicle. © 2023 ieee.

关键词： Feedback

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Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint 48

Diffusion Probabilistic Modeling for Fine-Grained Urban Traf...

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48th ieee International conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Xu, Xovee Wei, Yutao Wang, Pengyu Luo, Xucheng Zhou, Fan Trajcevski, Goce University of Electronic Science and Technology of China Chengdu610054 China Iowa State University AmesIA50011 United States

ISBN: (纸本)9781728163277

Inferring the citywide urban traffic flows is critical for numerous smart city applications such as urban planning, traffic control, and transportation management. Urban traffic flow inference problem aims to generate fine-grained flow maps from the coarse-grained ones. It is still challenging due to the lack of handling uncertainties of flow distributions and complex external factors that affect the inference performance. In this work, we propose a diffusion probabilistic augmentation-based network for considering the uncertainties of urban flows with a relaxed structural constraint and a disentangled scheme for flow map and external factor learning. Experiments are conducted on four large-scale urban flow datasets, and the results show that our method achieves significant performance improvements over strong baselines. © 2023 ieee.

关键词： Diffusion

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Autonomous Data-Driven Water Management Using IoT and Machine Learning

Autonomous Data-Driven Water Management Using IoT and Machin...

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2023 ieee CHILEAN conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon 2023

作者： Zaidi, Syed Waqas Hussain Naqvi, Syeda Tayyaba Ali Mehbodniya, Abolfazl Webber, Julian L. Department of Avionics Engineering Islamabad Pakistan University of the Punjab College of Information Technology Department of Software Engineering Lahore Pakistan Department of Electronics and Communication Engineering Doha Area 7th Ring Road Kuwait

ISBN: (纸本)9798350369533

The Internet of Things (IoT) based applications rapidly engulf human-driven systems. The inherent benefits, like process automation, have motivated researchers to propose novel IoT applications in multifaceted domains, contributing towards the economy of effort and conservation of precious resources. Existing literature emphasizes innovative water monitoring systems, but more attention is needed to efficiently use data from water sensors. The paper initially proposes a novel IoT-enabled water management system for data collection and analysis over an extended period. Based on the data collected after system deployment, we leverage the power of statistical techniques and Machine Learning to identify valuable trends from actual water consumption records, such as isolating the source of water wastage, forecasting future water demands, detecting anomalies in data and evaluating the impact of different environmental variables on water consumption. This paper also proposes a subsystem to control the usage of water. © 2023 ieee.

关键词： Internet of things

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Energy Optimization control of hourly Intelligent Charging Stations using Photovoltaic Generation and Load Demand Forecasting 6

Energy Optimization Control of hourly Intelligent Charging S...

引用

6th International conference on Power and Energy applications, ICPEA 2023

作者： Tao, Zhou Liang, Huang Yihan, Liu Wuhan University of Technology School of Automation Wuhan China

ISBN: (纸本)9798350359053

With the rapid development of renewable energy and the increasing demand for clean energy, the integrated photovoltaic storage charging station, as an important part of the energy system, is receiving increasing attention. This study aims to realize the intelligent energy optimization control of the energy storage system by combining photovoltaic power generation and charging load prediction, so as to maximize the energy utilization efficiency and economic benefits of the charging station. Firstly, this paper introduces the basic composition of the integrated photovoltaic storage charging station. Subsequently, an energy optimization control strategy based on PV power generation and load demand prediction is proposed. Through the accurate prediction of PV power generation, the system can adjust the energy storage and distribution strategy in advance. At the same time, combined with the charging load power prediction, the optimal scheduling of the energy storage system is realized to improve the energy utilization efficiency and maximize the net benefit of the charging station site. The experimental results show that by making full use of photovoltaic power generation and charging load prediction, and reasonably scheduling the power of the energy storage system, the charging station can achieve a better balance between energy supply and demand, thus maximizing the energy utilization efficiency and economic benefits, and providing useful guidance and reference for the future development of sustainable energy. © 2023 ieee.

关键词： Energy storage

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Low control Latency SD-WANs for Metaverse 42

Low Control Latency SD-WANs for Metaverse

引用

42nd ieee International conference on Distributed Computing Systems (ICDCS)

作者： Qi, Li Dou, Songshi Guo, Zehua Li, Changlin Li, Yang Zhu, Tengteng Beijing Inst Technol Beijing Peoples R China China Acad Elect & Informat Technol Beijing Peoples R China

ISBN: (数字)9781665488792

ISBN: (纸本)9781665488792

Metaverse is a shared virtual environment to provide users with an immersive experience and the same feeling as reality. In Software-Defined Wide Area Networks (SD-WANs), the controller dynamically routes flows from metaverse applications to maintain good performance by sending control messages to underlying switches. Thus, the control latency between controllers and switches for rerouting flows is one critical factor for metaverse's performance. However, existing works may introduce high control latency between switches and controllers since they do not consider the dynamic state of each switch in the real world situation. In this paper, we propose to optimize the control latency in SD-WANs by solving a critical programmability-aware problem. Inspired by critical flows, which have a critical impact on network performance, our proposed solution considers the programmability of critical flows at switches to decide the placement of controllers and mapping between switches and controllers. Simulation results show that our work can reduce the control latency by up to 27.5% compared with the baseline algorithms.

关键词： metaverse software-defined networking wide area networks critical programmability

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Exploring Cellular Communications for Remote Offshore Aquaculture Monitoring 33

Exploring Cellular Communications for Remote Offshore Aquacu...

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33rd International Telecommunication Networks and applications conference, ITNAC 2023

作者： Kristmundsson, Johannus Patursson, Oystein Potter, John Xin, Qin University of the Faroe Islands Tórshavn Faroe Islands RAO Kirkubo Faroe Islands Norwegian University of Science and Technology Gloshaugen Trondheim Norway

ISBN: (纸本)9798350317138

In the evolving landscape of aquaculture, offshore fish farms present unique challenges and opportunities. This paper investigates the potential of harnessing cellular communications, with a particular focus on 5G, to enhance connectivity in these distant marine environments. Through link budget analysis, we evaluate the channel conditions over the large distances that separate remote offshore fish farms. The research sheds light on how various environmental factors impact signal strength and highlights the transformative role of machine learning in streamlining farm operation data, paving the way for efficient real-time monitoring. The findings underscore the potential of cellular communications in advancing offshore aquaculture monitoring, ensuring efficient data transmission, and fostering sustainable marine farming practices. © 2023 ieee.

关键词： Budget control

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