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Design and Implementation of Integrated Operation and Maintenance Platform Based on Distribution communication control Technology 2

Design and Implementation of Integrated Operation and Mainte...

引用

2nd IEEE international conference on Electrical, automation and Computer Engineering, ICEACE 2024

作者： Yang, Qing Huang, Jianxiong Peng, Jian Zhou, Wei Chai, Guocai Zheng, Yong State Grid Info-Telecom Great Power Science and Technology Co. Ltd Fuzhou350001 China

ISBN: (纸本)9798350368208

In recent years, China's market economy has flourished, and the automation and intelligence technology of the power system has also developed rapidly. This article designed and implemented an integrated operation and maintenance platform based on distribution communication regulation technology, aiming to enhance the risk prevention ability and operational efficiency of power enterprises. By studying the operation and maintenance of the distribution system, combined with the current practical situation, this article discussed in detail the key points and difficulties of the integrated operation of distribution operation and maintenance, and analyzed the risk control of the integrated operation of substation operation and maintenance. In the experimental verification phase, expected results were achieved in system functional testing, hardware functional testing, communication resource management application testing, and intelligent operation and maintenance management platform testing, demonstrating the efficiency and stability of the system in terms of startup time, service interruption recovery time, link stability, resource allocation efficiency, and user management. Among them, the transmission rate of the multi-channel transmission test was 93.5 MB/s, with no data loss and a delay time of 11.0 ms, showing stable performance. Through this study, it is hoped to provide strong support for the healthy development of the power industry and the further development of the national economy and society. © 2024 IEEE.

关键词： Resource allocation

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Detection-segmentation convolutional neural network for autonomous vehicle perception 27

Detection-segmentation convolutional neural network for auto...

引用

27th international conference on Methods and Models in automation and Robotics (MMAR)

作者： Baczmanski, Maciej Synoczek, Robert Wasala, Mateusz Kryjak, Tomasz AGH Univ Krakow Embedded Vis Syst Grp Dept Automat Control & Robot Krakow Poland

ISBN: (纸本)9798350311075

Object detection and segmentation are two core modules of an autonomous vehicle perception system. They should have high efficiency and low latency while reducing computational complexity. Currently, the most commonly used algorithms are based on deep neural networks, which guarantee high efficiency but require high-performance computing platforms. In the case of autonomous vehicles, i.e. cars, but also drones, it is necessary to use embedded platforms with limited computing power, which makes it difficult to meet the requirements described above. A reduction in the complexity of the network can be achieved by using an appropriate: architecture, representation (reduced numerical precision, quantisation, pruning), and computing platform. In this paper, we focus on the first factor the use of so-called detection-segmentation networks as a component of a perception system. We considered the task of segmenting the drivable area and road markings in combination with the detection of selected objects (pedestrians, traffic lights, and obstacles). We compared the performance of three different architectures described in the literature: MultiTask V3, HybridNets, and YOLOP. We conducted the experiments on a custom dataset consisting of approximately 500 images of the drivable area and lane markings, and 250 images of detected objects. Of the three methods analysed, MultiTask V3 proved to be the best, achieving 99% mAP(50) for detection, 97% MIoU for drivable area segmentation, and 91% MIoU for lane segmentation, as well as 124 fps on the RTX 3060 graphics card. This architecture is a good solution for embedded perception systems for autonomous vehicles. The code is available at: https://***/vision-agh/MMAR_2023.

关键词： detection-segmentation convolutional neural network autonomous vehicle embedded vision YOLOP Hybrid-Nets MultiTask V3

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Simulation Analysis of SVPWM Overmodulation Algorithm with Compensation 6

Simulation Analysis of SVPWM Overmodulation Algorithm with C...

引用

6th international conference on Information Science, Electrical, and automation Engineering, ISEAE 2024

作者： Li, Zheng Zhu, Wenzhang School of Opto-electronic and Communication Engineering Xiamen University of Technology No.600 Ligong Road Jimei District Fujian Xiamen361024 China

ISBN: (纸本)9781510682924

This paper presents the principles of Space Vector Pulse Width Modulation (SVPWM), conducts a comprehensive analysis of overmodulation control strategies, and examines computational methods for various stages of overmodulation. The proposed SVPWM overmodulation algorithm is simulated and analyzed using MATLAB/Simulink, validating its effec-tiveness and practicality. The simulation results demonstrate that the introduction of overmodulation techniques effectively increases the inverter's maximum output voltage. © 2024 SPIE.

关键词： MATLAB

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Redundancy Link Security Analysis: An automation Industry Perspective 29

Redundancy Link Security Analysis: An Automation Industry Pe...

引用

29th IEEE international conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Leander, Björn Johansson, Bjarne Mubeen, Saad Ashjaei, Mohammad Lindström, Tomas Abb Process Automation Process Control Platform Västerås Sweden Mälardalen University Västerås Sweden

ISBN: (纸本)9798350361230

Industrial automation and control systems are responsible for running our most important infrastructures, providing electricity and clean water, producing medicine and food, along with many other services and products we take for granted. The safe and secure operation of these systems is therefore of great importance. Reliability is a fundamental requirement, with spatial controller redundancy being one important fault-tolerance mechanism. In current control system solutions, controller redundancy is implemented using state and heartbeat transfer communicated over dedicated physical links, based on an assumption of implicit trust. However, with the emerging network-centric control strategies there is a desire to transition into dynamic redundancy scenarios, where such dedicated links are unfeasible. In this paper, an approach for a threat-model based security analysis is presented from the perspective of the automation industry. The approach is applied to the communication links used for supporting control system redundancy within a network-centric architecture. © 2024 IEEE.

关键词： Office automation

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BREAST CANCER DETECTION USING PATCH ANTENNA 2

BREAST CANCER DETECTION USING PATCH ANTENNA

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2nd international conference on Advancements in Electrical, Electronics, communication, computing and automation, ICAECA 2023

作者： Allin, Joe D. Gopika, S. Sobiya, Selsiya M. Manusa, K.R. Department of Electronics and Communication Engineering Kumaraguru College of Technology India

ISBN: (纸本)9798350306811

In women gender, the highest universal tumor is breast cancer. After lung cancer, breast cancer is more fatal among women. Each year, a massive number of women are affected by breast cancer. Breast cancer is detected by conventional methods such X-ray mammography, magnetic resonance imaging (MRI), ultrasound, and biopsies. Early detection of breast tumour is vital since the progress of breast cancer is crucial for accurate and effective therapy. The exact location and size of the tumour is to be found for the effective therapy in women. Medical procedures have some disadvantages when dealing with the human body. This project uses HFSS software to make two different shapes of breast phantoms, a Microstrip patch antenna in the transmission side, and a Microstrip patch antenna to detect the existence of a malignant tumour in the receiving side. It was decided to create two Microstrip patch antennas, one of which would serve as the transmitter and the other will act as the reception of the electromagnetic waves. Using HFSS software, the breast structure with and without a tumour was produced based on the predefined parameters. Between the receiving and transmitting Microstrip patch antennas lies the breast structure. The nondestructive examination of the biological tissue is possible with this imaging because microwaves are non-ionizing and are less harmful while comparing with the existing techniques available in the real-world scenario. Microwave imaging can precisely pinpoint the location and size of the tumour because the tumour is extremely small in the early stages of breast cancer. Microwave frequency shall be used to detect the tumour since their conductivity and permittivity values will vary while comparing the normal and healthy breast tissues with a human breast tissue that is infected by cancer. Patients don't experience any health problems during this tumour detection procedure because the energy absorbed by the breast while using a Microstrip patch antenna

关键词： Tumors

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Parallel Implementation of Fuzzy-PID controllers for Pitch control of Offshore Wind Turbines 29

Parallel Implementation of Fuzzy-PID Controllers for Pitch C...

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29th international conference on automation and computing (ICAC)

作者： Wattegama, Rajitha Aggarwal, Geetika Dawood, Huda Eslamy, Mandy Jenisha, Maria Thanasingh, Charles Short, Michael Teesside Univ Sch Comp Engn & Digital Technol Middlesbrough Cleveland England

ISBN: (纸本)9798350360882;9798350360899

Offshore wind turbines, with their larger rotors designed to boost power capacity, contend with increased aerodynamic and operational loads. These heightened loads often result in mechanical damage and decreased efficiency. Furthermore, because of variations in wind speed across the rotor, each blade experiences unique loads. These loads can cause fatigue and vibration in the blades, which can impair the blades' performance. The rotor blades' angle of attack with respect to the wind is adjusted by a well-designed pitch controller to minimise these problems and maximise power production. This paper addresses the differences between onshore and offshore wind turbines, nonlinear characteristics of wind turbines and lowers blade loads by presenting an innovative pitch angle controlling approach using fuzzy logic. Three controllers are used to create and assess a mathematical model of the pitch controlling system: PID, Fuzzy and Fuzzy-PID. Simulation results indicate that the Fuzzy-PID controller surpasses other strategies in mitigating uncertainties and disturbances in offshore wind turbine systems. Compared to conventional PID control, the Fuzzy-PID hybrid system demonstrates notable improvements, including a reduced rise time of 0.489 seconds, settling time of 4.327 seconds, overshoot of 6.989%, undershoot of 1.59%, and zero steady-state error. This innovative approach holds promise for enhancing offshore wind turbine efficiency, ensuring sustainable energy production in the face of escalating demands.

关键词： Offshore Wind Turbines Pitch control PID controller Fuzzy Logic controller Fuzzy-PID controller

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Air Pollution Prevention Using Wireless Sensors 2

Air Pollution Prevention Using Wireless Sensors

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2nd international conference on Advancements in Electrical, Electronics, communication, computing and automation, ICAECA 2023

作者： Devi, S. Sharmila Kaviarasu, N. Kiruthikram, P.P. Praveen Kumar, K. Dr.N.G.P. Institute of Technology Department of Electronics and Communication Engineering Coimbatore India Sri Ramakrishna Engineering College Department of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798350306811

Due to its detrimental effects on both human health and the environment, air pollution has become a major worldwide concern. Wireless sensors have emerged as a promising solution for monitoring and preventing air pollution. This article summarizes research on air pollution prevention using wireless sensors. This work examines the difficulties in monitoring and preventing air pollution. As a result of the exponential rise in the prevalence of various diseases, there is an ever-increasing concentration of pollutants in the atmosphere. This makes use of numerous wireless sensor nodes to track the concentration of pollutants in different places and electronically transmit the data to the host. Utilizing machine learning techniques, a forecasting model is also created to provide a notion of the air quality index for the foreseeable future. The user can then easily grasp the air quality owing to the data visualization on a platform for a mapping service. © 2023 IEEE.

关键词： Air quality

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Analysis of Autoregressive Models Used to Predict Climate Change over the Indian Subcontinent

Analysis of Autoregressive Models Used to Predict Climate Ch...

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2023 international conference on automation, control and Electronics Engineering, CACEE 2023

作者： Nandan, Rohit Tripathi, Shikha Pes University Departement of Electronics and Communication Bangalore India

ISBN: (纸本)9798350309201

Quantifying the effects of climate change on economies, and the way of life in general is of key importance. This paper marks the first instance of a novel wavelet denoised hybrid autoregressive model being used in the field of remote sensing. The key aspects of noise and non-stationarity of the input signals have been considered in the prediction unlike the previous studies. The MODIS, Sentinel-5P and CHIRPS satellite observations contain noise, part of which is intrinsic to the sensor. Additional noise is also added due to the implementation of image processing, and the wavelength of light used. Non-stationarity of the input data, makes it a challenge for auto-regressive prediction models. Towards these ends, solutions are proposed both for the denoising problem and non-stationary time series analysis. The performance of the novel wavelet denoised EMD-SARIMA model has been thoroughly contrasted with existing autoregressive and hybrid autoregressive models, such as the Box-Cox transformation and MRA based hybrid SARIMA models. Moreover, the existing literature concentrates on a single region of a nation, whereas this study concentrates on the Indian subcontinent as a whole. © 2023 IEEE.

关键词： Remote sensing

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VANET Framework for Incident Response and Management

VANET Framework for Incident Response and Management

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2023 IEEE international conference on communications, Information, Electronic and Energy Systems, CIEES 2023

作者： Yordanova, Marieta Haka, Aydan Technical University of Varna Faculty of Computer Sciences and Automation Varna Bulgaria

ISBN: (纸本)9798350336917

With the increasing number of vehicles on the roads, communication between them has become an area of exploration, standardisation, and development. Vehicular Adhoc Network (VANET) constitutes a network that connects vehicles and ensures intelligent traffic control and real-time information exchange. Various frameworks are employed in VANET to enhance communication and security within the road infrastructure. This study presents a VANET framework for incident response and management, utilising the technologies of Blockchain, Fog, and Cloud computing. The proposed framework aims to track data related to road conditions, incident detection and ensuring data authenticity, notifying emergency stations and insurers about occurred incidents, and analysing archived data. © 2023 IEEE.

关键词： Roads and streets

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ZIGBEE communication based Smart Vehicle Safety and Alert System 15

ZIGBEE Communication based Smart Vehicle Safety and Alert Sy...

引用

15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Karthik, K. Sankaranarayanan, D. Dinesh, V. Easwari Engineering College/Electronics and Communication Chennai India

ISBN: (纸本)9798331300579

The design of real time wireless system represents an innovative technology that facilitates safety and notification alert system, aiming to mitigate traffic congestion, reduce accidents, and enhance overall safety. The primary goal of the real time wireless system is to establish an efficient communication for intelligent transport system. Technological progress has spurred the automotive industry to develop autonomous vehicles capable of exchanging real-time information, thereby contributing to accident prevention. This research paper provides outlining its benefits, and addressing the challenges associated with implementing such communication system. The paper also delves into the crucial aspects of safety and the utilization of the Zigbee Protocol in this context. The discussion encompasses the advancements in technology that have paved the way for vehicles to share critical information seamlessly to the trailing vehicles, fostering a collective approach to safeguarding against accidents and enhancing overall road safety. © Grenze Scientific Society, 2024.

关键词： Zigbee

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