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检索条件"任意字段=IEEE Conference on Control Technology and Applications"

共 50368 条记录，以下是4581-4590 订阅

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Design of Novel Multilevel Inverter for Grid Integrated Renewable Energy applications 4

Design of Novel Multilevel Inverter for Grid Integrated Rene...

引用

4th International conference on Communication, Computing and Industry 6.0, C216 2023

作者： Jayakumar, V. Jaisiva, S. Viji, K. Sakthi Gokul Rajan, C. Jessintha, D. Srividhya, J.P. Department of EEE M.Kumarasamy College of Engineering Tamil Nadu Karur India Department of EEE Sri Krishna College of Technology Tamil Nadu Coimbatore India Department of ECE CMR Institute of Technology Karnataka Bengaluru India Department of ECE Easwari Engineering College Chennai India Department of EEE Arunai Engineering College Chennai India

ISBN: (纸本)9798350327328

A Multi-level inverter through abridged numeral of muscle switches and pulse width modulation technology. This new multi-level inverter is based on a cascaded H-bridge topography. This broadside diminishes total harmonic distortion (THD). This broadsheet put forward a newfangled concept of switching with a reduced number of DC power supplies. This perception comforts diminish the switching effort paralleled to other multi-level inverters. The proposed multi-level inverter with 7-level output is corroborated with simple ohm freight. The put forward notion was endorsed by simulation and a real THD diagram. Multi-level inverter is used in renewable applications to reduce complexity and control. © 2023 ieee.

关键词： Pulse width modulation

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Performance Assessment of Deep Learning Algorithm Using xView Data Set 2

Performance Assessment of Deep Learning Algorithm Using xVie...

引用

2nd International conference for Advancement in technology, ICONAT 2023

作者： Singh, Abhimanyu Nene, Manisha J School of Computer Engineering and Mathematical Sciences Defence Institute of Advanced Technology Pune India

ISBN: (纸本)9781665475174

Finding many items of varying sizes in a single picture is a difficult problem in computer vision. Urban planning, military applications, marine surveillance, and environment control and management are just few of the many fields that might benefit from object recognition in high-resolution satellite photos. However, existing deep learning models have difficulty with object recognition in satellite pictures due to factors such as complicated backdrop, random viewpoints, and substantial fluctuations in item sizes. Two crucial elements in object detection are the size of the detection area of interest and the representation of the objects' features. In this paper we study about the YOLO V7 technique and carry out parameter tuning in order to achieve the best model for multi class object detection in a single image using xView dataset. © 2023 ieee.

关键词： Image recognition

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Acceleration of a Compute-Intensive Algorithm for Power Electronic Converter control Using Versal AI Engines 39

Acceleration of a Compute-Intensive Algorithm for Power Elec...

引用

39th conference on Design of Circuits and Integrated Systems, DCIS 2024

作者： Flores, Fernando Lopez Sanchez, Oscar De Ojeda, Luis Jacobo Alvarez Ruiz Pena, Maria Dolores Valdes Sanchez, Jose Manuel Villapun Digital Hardware for Airborne Systems Area Indra Vigo Spain Vigo Spain University of Vigo Dept. of Electronics Technology Vigo Spain

ISBN: (纸本)9798350364392

Modern power conversion applications require increased computation power. Recently, an optimal fault-Tolerant control technique for cascaded H-bridge power converters, utilizing a compute-intensive algorithm, was presented. However, limitations of conventional computation platforms impose serious constraints on the real time operation of such algorithms. Novel AI Engines emerge as excellent candidates for these computeintensive applications. This article evaluates the novel AI Engines of the Versal Adaptive Compute Acceleration Platform (ACAP) from AMD (formerly Xilinx) for accelerating the aforementioned compute-intensive real-Time control algorithm of the power converter. The algorithm is implemented on devices of the Versal ACAP and Zynq-7000 families. For the first case, AI Engines and the Programmable Logic (PL) are used and, for the second, the Processing System (PS) and PL. Several heterogeneous test configurations are designed and the implementation results are compared in terms of throughput, latency, power consumption and hardware cost. The obtained results highlight the superiority of the Versal architectural for this application and demonstrate the potential of AI Engines in power converter control. © 2024 ieee.

关键词： Digital control systems

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Deep Reinforcement Learning-based Multi-Scenario Multi-Scale Economic Scheduling for Integrated Energy Systems 6

Deep Reinforcement Learning-based Multi-Scenario Multi-Scale...

引用

6th International conference on Energy Systems and Electrical Power, ICESEP 2024

作者： Li, Guangxi Zhao, Qingsheng Han, Xiaoqing Li, Tingjun Taiyuan University of Technology Shanxi Key Laboratory of Power System Operation and Control Taiyuan China

ISBN: (纸本)9798350353563

The integrated energy system (IES) with multi-energy coupling and gradient utilization has become an important means to help realize the goal of 'double carbon'. The optimal operation of IES is a nonlinear, nonconvex and complex problem. With the gradual increase of intermittent energy and load uncertainty, traditional scheduling methods are limited to fixed physical models and parameter settings, which make it difficult to quickly and accurately obtain optimal scheduling strategies. In this paper, we propose a distributed proximal policy optimization (DPPO) algorithm to train the IES optimal scheduling model offline and solve the optimization online, which transforms the physical scheduling problem into a reinforcement learning sequential decision-making problem, and adaptively learns the scheduling policy through continuous interaction between the agent and the integrated energy system environment, and the multi-threaded structure enhances the exploration ability of the reinforcement learning agent in the complex environment. Example simulations show that online applications do not need to rely on accurate modeling of the physical model of the IES to achieve fast scheduling decisions in multiple scenarios and scales. © 2024 ieee.

关键词： Deep reinforcement learning

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Design and Implementation of Integrated Desktop GIS and Web GIS for Power Grid Dispatching and control System 3

Design and Implementation of Integrated Desktop GIS and Web ...

引用

3rd International conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： He, Yuan Zhang, Yuan Zhang, Yaowei Fang, Caishen Zhen, Yan Han, Xiao Nari Technology Co.Ltd. Nanjing China

ISBN: (纸本)9798350318180

With the strengthening of the integrated features of the power grid operation, the global monitoring and analysis decision-making requirements around the main power grid and the external environment of Zones I and III are gradually increasing. Considering the visualization requirements and deployment scenarios of the power grid GIS, and the consistency of display on the human-machine display platform of the power grid dispatching and control system spanning Zones I and III, an integrated design based on the principles of integration and modularization was developed. This design relies on the lightweight human-machine interaction frameworks and new generation of service buses. It implements a unified solution for Desktop GIS and Web GIS. The implementation includes interoperate between CIM/G files and GIS interface programs, configuration-based loading of grid maps, and automatic avoidance of feature annotations. Through program reuse between Zones I and III, the GIS-related monitoring scenarios of the power grid applications are supported. © 2023 ieee.

关键词： componentization large power grid lightweight human-machine interaction system new generation dispatching and control system

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ZigBee Communication in WSN with Mesh Configured Routers and Hardware Chip

ZigBee Communication in WSN with Mesh Configured Routers and...

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2023 International conference on Power, Instrumentation, Energy and control, PIECON 2023

作者： Ompal Mishra, Vishnu Mohan Kumar, Adesh Uttarakhand Technical University Veer Madho Singh Bhandari Department of Electronics & Communication Engineering Dehradun248007 India Govind Ballabh Pant Institute of Engineering & Technology Ghurdauri Department of Electrical Engineering Uttarakhand Pauri Garhwal246194 India University of Petroleum and Energy Studies School of Engineering Department of Electrical & Electronics Engineering Dehradun248007 India

ISBN: (纸本)9798350399769

The latest developments in processor technologies and low-power radio communication technologies have produced low-power low-cost, multi-functional small sensor devices that can track alterations in the physical spectacles of their surroundings and respond accordingly. These sensing capabilities of such devices can be combined to produce an overall result when connected via wireless media. ZigBee (ieee 802.15.4) is wireless communication technology that works in star, mesh, and cluster tree topology in a configured sensor network. It can function for many different monitoring and control applications for many years on low-cost batteries. The research article offers ZigBee mesh-configured node connectivity and low-power hardware chip design in Xilinx ISE 14.7. The software Modelsim 10.0 b is used to carry out the simulation and data transfer. The functional test cases have verified the 40-bit data communication for 16 nodes with a maximum frequency of 375.00 MHz. The design's novelty is in its scalability, which allows it to be tailored to a greater number of routers depending on the situation. © 2023 ieee.

关键词： Zigbee

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IoT-Based Smart Home System Integrated with Deep Learning on the FPGA Development Board

IoT-Based Smart Home System Integrated with Deep Learning on...

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2024 ieee International conference on Systems, Man, and Cybernetics, SMC 2024

作者： Sung, Guo-Ming Kuo, Fan-Ning Lin, Chih-Yu Tseng, Chwan-Lu Chou, Jen-Hsiang Tung, Li-Fen National Taipei University of Technology Department of Electrical Engineering Taipei10608 Taiwan

ISBN: (纸本)9781665410205

This study proposes an Internet of Things (IoT)-based smart home system that sends and receives packets through the RS232 protocol and processes them using deep learning. A Field-Programmable Gate Array (FPGA) development board serves as a transceiver, operating a universal serial bus (USB) interface and a Wi-Fi module. The proposed system comprises a built-in wireless transceiver, a set of sensors, a development board running a deep learning algorithm, an MQTT communication protocol, and a terminal device controller. The objective is to implement an IoT -based smart home system with wireless data transmission. Node-RED is used to develop a comprehensive smart home system on the server side for IoT applications, facilitating data access, data processing, and terminal device control. The aim is to achieve automatic regulation and ensure comfortable indoor temperatures. In experiments, the root mean squared error difference between actual and predicted temperatures was approximately 0.4426 °C. After evaluation experiments with the FPGA development board, an application-specific integrated circuit (ASIC) based on the TSMC 0.18-μm CMOS process was used. Simulation results indicate that the chip area is approximately 1.186 × 1.188 mm2, and the dynamic power consumption is approximately 8.1674 mW at a power supply of 1.8 V and operating frequencies of 50 and 5 MHz. © 2024 ieee.

关键词： Smart homes

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Development of electrochemical energy storage and application in power grid 2

Development of electrochemical energy storage and applicatio...

引用

2nd ieee International conference on Power, Electronics and Computer applications, ICPECA 2022

作者： Dongqi, Kang Wenhua, Zhang Jia, Liu Yinbao, Miao Weihao, Liu Bing, Zeng Zhilong, Li Zhe, Chen Ronghua, Fang Boquan, Xi Nanchang Institute of Technology Nanchang330000 China Key Laboratory of Precision Drive and Control of Jiangxi Province Nanchang330096 China State Grid Shanghai Municipal Electric Power Company Maintenance Company Shanghai200122 China

ISBN: (纸本)9781665442763

Energy storage technology plays an important role in power grid operation as an important part of regulating power grid quality and stabilizing microgrid structure. In order to make the energy storage technology better serve the power grid, this paper first briefly introduces several types of energy storage, and then elaborates on several chemical energy storage: lead energy storage, lithium battery energy storage, sodium sulfur battery and liquid flow battery. Based on the analysis of the advantages and disadvantages, development, research status and chemical properties of the four kinds of electrochemical energy storage, some suggestions and ideas for the future development of electrochemical energy storage are put forward. Finally, the development trend of energy storage is forecasted. © 2022 ieee.

关键词： Electric power transmission networks

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A Terahertz Reconfigurable Transmitarray with controllable Binary-Amplitude Elements

A Terahertz Reconfigurable Transmitarray with Controllable B...

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2023 Cross Strait Radio Science and Wireless technology conference, CSRSWTC 2023

作者： Xi, Qiangli Feng, Guobao Jin, Shengxiao Shao, Wei Zhu, Zhongbo Cui, Wanzhao Duan, Chongdi CAST Xi'an National Key Laboratory of Science and Technology on Space Microwave Xi'an China

ISBN: (纸本)9798350358971

In this paper, a novel terahertz (THz) reconfigurable transmitarray (RTA) with 34-column controllable binary-amplitude element is designed. The single-layer element consists of double I-shape metal patches and an integrated varactor diode in the middle gap. By switching binary direct current (DC) voltages of the varactor, the incoming electromagnetic wave can be efficiently transmitted or strongly reflected, and the modulation depth of the transmission amplitude is greater than 15 dB in the 0.204-0.223 THz band. Each column of proposed RTA was independently configured to form reconfigurable patterns with air-like transparency or metal-like opacity zone for different beam direction. The ± 60° beam-steering capability with less than 3.6 dB gain fluctuation at horizontal plane was validated by theoretical calculations. Hence, the proposed transmitarray can be potentially used to implement easily-control, fast beam agility for terahertz-band applications. © 2023 ieee.

关键词： beam steering Reconfigurable transmitarray terahertz

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Voiceproof: Speaker Verification with Captcha A Novel Biometric Access control Mechanism

Voiceproof: Speaker Verification with Captcha A Novel Biomet...

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2022 International conference for Advancement in technology, ICONAT 2022

作者： Nene, Manisha J Mohapatra, R.K. Girinagar Pune411025 India

ISBN: (纸本)9781665425773

Authentication on the digital platform has been a serious concern in today's world. Though fingerprint and facial recognition are being widely used, many methods to circumvent them exist. Voice being another biometric that can be used for individual identification also finds its place in authentication applications because of the promising results reported by various state-of-the-art Automatic Speaker Verification (ASV) systems. Also, voice being the only time-variant remotely available biometric, is unique for authentication applications. The vulnerability of ASV systems to spoofing attacks is also undeniable. Thus, a robust access control system is the need for many applications. This article presents two novel methods to fuse the robustness of CAPTCHA, a well-known method to distinguish human from computer, and uniqueness of voice-biometric for access control applications. It is believed that proposed systems would be efficient for real-time access control systems. © 2022 ieee.

关键词： Authentication

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