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Static Voltage Stabilizer Using Modified SPWM Technique controlled AC Chopper 5

Static Voltage Stabilizer Using Modified SPWM Technique Cont...

引用

5th ieee International conference on Electrical, Computer and Communication Technologies, ICECCT 2023

作者： Rochwani, Sagar Sanjay Chauhan, Siddharthsingh K. Tekwani, P.N. Institute of Technology Dept. of Electrical Engg. Nirma University Ahmedabad India

ISBN: (纸本)9781665493604

Voltage stabilizer for ac supply has become necessity for domestic as well as industrial applications. It retains devices / instruments from supply voltage impurities. Among all the available voltage stabilizer technologies, IGBT based static voltage stabilizer is the most advanced and fast responsive technique to get required voltage regulation. This paper presents design and operation of efficient and reliable method to use buck-boost transformer in series with ac chopper to achieve an effective voltage control using modified sinusoidal pulse width modulation. Simulation analysis of the presented stabilizer depicts satisfactory behavior. © 2023 ieee.

关键词： Voltage regulators

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Research on Computer and Blockchain technology to Improve Data Information Security System of Internet of Things 5

Research on Computer and Blockchain Technology to Improve Da...

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2023 5th International conference on Artificial Intelligence and Computer applications, ICAICA 2023

作者： Sun, Wenjing School of Dianchi Yunnan University Department of IoT Engineering Yunnan Kunming650228 China

ISBN: (纸本)9798350323313

This paper designs the Internet of Things data security protection system based on blockchain. The 'double link' model is proposed, namely 'data link' and 'transaction link'. Then the system adopts a consensus algorithm based on the practical Byzantine fault-tolerant (PBFT) mechanism to improve the effectiveness of data registration. The system can use the authentication policy to achieve access to a variety of devices. The system can access devices through identity authentication policies and control the permissions of various devices. Store data according to the type of data to keep its information secure. In the simulation test, the anti-attack ability, dual-link processing ability and delay are tested. Calculation examples prove that the proposed framework is safe and effective. This system can meet the actual needs of Internet of Things applications. © 2023 ieee.

关键词： Internet of things

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A Novel Method for Seamless Closed-Loop Load Transfer in Radial Distribution Networks

A Novel Method for Seamless Closed-Loop Load Transfer in Rad...

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作者： Li, Junlin Wang, Xiaocong Xie, Cong Han, Jie Mao, Chengxiong Liu, Xiao Wang, Dan Zhang, Yanyu Guan, Zhitao Zhang, Xu Guangzhou Power Grid Co. Ltd. Guangzhou Power Supply Bureau Guangzhou510699 China Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan430074 China

Closed-loop load transfer is an effective measure to improve the power supply reliability of radial distribution networks. However, the traditional closed-loop load transfer mode is passive for operators: the loop closing operation relies on complex network models and calculation methods, which is feasible for the distribution network with many sensors, but it is not practical for the low-voltage distribution network with a complex structure. The field operation is still based on the experience of operators, resulting in uncertainty of the loop closing and large loop-closing current. Besides, the coordination of multiple power sources for guaranteeing power supply can not guarantee the power quality and the economic cost is high, in which the adopted closed-loop device is not movable and has poor reusability. This article presents an active loop-closing mode: a seamless closed-loop load transfer system (SLTS), which can not only realize uninterrupted load transfer but also eliminate loop closing surge current and expand the application range of closed-loop load transfer. In the proposed system configuration, a series compensation voltage source is connected to two substations. Therefore, closed-loop current can be controlled flexibly by regulating this voltage source. The proposed system can be applied to adjacent substations to carry out closed-loop load transfer operations during equipment maintenance. Besides, it can be installed between two radial feeders to achieve seamless fault seal-healing. The control strategy of seamless closed-loop load transfer and fault seamless self-healing are proposed, respectively. The effectiveness of the proposed SLTS and the designed control strategy are validated via MATLAB/Simulink. © 2022 ieee.

关键词： Voltage control

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Design and Implementation of 6dof Robotic Arm Using LabView for Enhanced Automation and Quality control 5

Design and Implementation of 6dof Robotic Arm Using LabView ...

引用

5th International conference on IoT Based control Networks and Intelligent Systems, ICICNIS 2024

作者： Barathkumar, T. Dayalan, P. Logesh, R. Ruthreshwaran, D. KIT-Kalaignarkarunanidhi Institute of Technology Department of Electrical and Electronics Engineering Coimbatore India

ISBN: (纸本)9798331518097

This research study gives an in-depth examination of the plan and usage of automated arm frameworks, centering on progressing robotization and productivity over different applications. We focus on four degrees of freedom (4DoF) robotic arm, crafted to replicate human arm movements and controlled through an intuitive graphical interface in LabView,which ensures the smooth operation of servomotors. In addition, we introduce a six degrees of freedom (6DoF) robotic arm controller that utilizes Pulse Width Modulation for accurate movements, with coordination managed by an Arduino microcontroller. The findings illustrate the versatility of these robotic arms in performing tasks such as material handling and assembly. We also discuss the development of an automated quality inspection system, where the robotic arm can effectively remove defective items with a 96% accuracy rate. This study emphasizes the importance of practical engineering education through hands- on projects, equipping students with the skills necessary to tackle real-world challenges. We advocate for the adoption of advanced robotic solutions to enhance productivity and operational quality across diverse industries. © 2024 ieee.

关键词： Robotic arms

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Short-term power load forecasting based on similar day selection and improved LSTM 2

Short-term power load forecasting based on similar day selec...

引用

2nd ieee International conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2023

作者： Zhou, Ziyu Chen, Hongyu Wang, Wenwu Beijing University of Technology Beijing China Nanjing University of Technology Nanjing China Ningxia University Yinchuan China

ISBN: (纸本)9781665462532

The electric power industry is the most important basic energy industry in the development of the national economy. The operation control and dispatch of the electric power system is of great significance in ensuring the planning of the electric power system, industrial development, economic operation and environmental protection. Short-term power load forecasting plays an important role in power system operation control and dispatch. This paper proposes a combined power load forecasting model based on similar day selection and improved LSTM. First, a combined similar day screening model based on grey relational analysis and cosine similarity is constructed, which makes up for the shortcomings of the single selection method. The training set and test set ensure the quality of the input data of the model;then use the single-feature time series training to increase the dropout layer of the LSTM model for power load prediction, reduce the resource consumption of training and prediction, and effectively alleviate the occurrence of overfitting., to improve the robustness of the model. The prediction results of the two examples basically coincide with the real value in trend, which confirms that the similar daily screening and improved LSTM combined prediction model constructed in this paper can provide reliable support for power load forecasting and other time-series data forecasting applications. © 2023 ieee.

关键词： Long short-term memory

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Based on Hybrid Densenet-121 with Support Vector Machine Algorithm for Lettuce and Chili 20

Based on Hybrid Densenet-121 with Support Vector Machine Alg...

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20th ieee International conference on Mechatronics and Automation, ICMA 2023

作者： He, Yuzhe Wu, Yanjuan Wang, Caiwei Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Binshui Xidao 391 Tianjin China

ISBN: (纸本)9798350320831

In this paper, to improve the recognition accuracy of Densenet-121, we combine Densenet-121 with SVM to generate a new network Densenet-121-SVM. In this paper, the two datasets are combined to generate a new dataset named Mixed-dataset, which has four plants, namely: Lettuce, Chili, Chinee apple, and Lantana, and this dataset is used to train the network. Finally, the recognition accuracies of SVM, Densenet121 and Densenet-121-SVM are 84.144%, 96.211% and 98.181%, respectively, and it can be seen that the accuracy of Densenet-121-SVM is improved by 14% and 1.97% compared to SVM and Densenet-121, respectively. © 2023 ieee.

关键词： Lettuce

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OWADIS: Rapid Discovery of OWASP10 Vulnerability based on Hybrid IDS 15

OWADIS: Rapid Discovery of OWASP10 Vulnerability based on Hy...

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15th International conference on Knowledge and Smart technology, KST 2023

作者： Wirz, Leon Ketphet, Asipan Chiewnawintawat, Nattapol Tanthanathewin, Rinrada Fugkeaw, Somchart Thammasat University Sirindhorn International Institute of Technology School of Information Computer and Communication Technology Thailand

ISBN: (纸本)9781665477123

Rapid advancements in internet applications introduce new vulnerabilities and threats that malicious actors are keen to exploit. These activities are becoming more versatile and challenging to address. In addition to implementing firewalls to control the inbound and outbound network traffic, an intrusion detection system (IDS) is commonly employed to monitor the network for malicious activities and policy violations. However, most IDSs are generally designed to monitor network traffic. They are incapable to detect the vulnerabilities embedded in the legitimate packets, especially the vulnerabilities targeting web applications. In this paper, we propose a cloud-based IDS with an emphasis on the detection of OWASP Top 10 Injection vulnerabilities, combined with additional common vulnerabilities such as brute-forcing and session hijacking. Furthermore, DDoS attacks, which are commonly seen, can also be detected with our proposed adaptable HTTP flooding detection engine. We also provide the evaluation to show that our proposed scheme provides fewer false positives than SNORT and gives efficient system throughput based on the leverage of Kafka and Spark streaming. © 2023 ieee.

关键词： HTTP

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Is Averaging Always the Best? Improving Aggregation Method for Federated Knowledge Graph Embedding 20

Is Averaging Always the Best? Improving Aggregation Method f...

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20th ieee International conference on Networking, Sensing and control, ICNSC 2023

作者： Liu, Yuanyi Zhang, Renyu Chen, Jia Beihang University School of Cyber Science and Technology Beijing China

ISBN: (纸本)9798350369502

In recent years, along with the rapid development of big data and AI technologies, knowledge graphs have also experienced significant growth. The vectorized representation of entities and relations in knowledge graphs has proven beneficial for various knowledge graph-related applications. However, traditional knowledge graph embedding methods are designed for centralized graphs, which cannot effectively represent the distributed knowledge graphs in real-world while ensuring data security. In this paper, we improve the aggregation method for federated knowledge graph embedding and propose a Federated knowledge graph embedding model with CompGCN, which is called FedComp for short. FedComp is an innovative server-client framework which implement CompGCN for federated KGE, along with the design of three novel aggregation methods. We conduct link prediction experiments on two datasets to demonstrate the performance of our model. © 2023 ieee.

关键词： Knowledge graph

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Digital attenuator flatness compensation technology of spectrum analyzer 15

Digital attenuator flatness compensation technology of spect...

引用

15th International conference on Microwave and Millimeter Wave technology, ICMMT 2023

作者： Li, Liqun Du, Huiwen Zhang, Chao Zhang, Yazhou China Electronics Technology Ceyear Technology Co. Ltd 98 Xiangjiang Road Shandong Qingdao266555 China

ISBN: (纸本)9798350338874

With the development of wireless communication technology, measurement technology is gradually developed. For the measurement of a signal can be divided into the time domain and frequency domain, time domain and frequency domain measurements can be measured to contact with Fourier transform and inverse Fourier transform, time domain measurement instrument tool is generally oscilloscopes, frequency domain measurements most used instrument is a spectrum analyzer [1]. With the applications of spectrum analyzer are more and more popular, the requirements for the various performance indicators of the spectrum analyzer are getting higher and higher. This paper focuses on the digital attenuator flatness compensation technology of high performance spectrum analyzer, flatness compensation is realized by programming in FPGA to control the numerical control attenuator. Digital attenuator flatness compensation technology plays a key role in measuring amplitude accuracy of spectrum analyzer. And digital attenuator flatness compensation technology has been successfully applied to high-performance spectrum analyzer. © 2023 ieee.

关键词： Spectrum analyzers

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Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension control 22

Physics-Guided Reinforcement Learning System for Realistic V...

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22nd ieee International conference on Machine Learning and applications, ICMLA 2023

作者： Nhu, Anh N. Le, Ngoc-Anh Li, Shihang Truong, Thang D.V. University of Maryland Department of Computer Science College ParkMD20742 United States Institute of Mechanical Engineering University of Transport and Communications Hanoi Viet Nam School of Mechanical Engineering Hanoi University of Science and Technology Hanoi Viet Nam

ISBN: (纸本)9798350345346

The suspension system is a crucial part of the automotive chassis, improving vehicle ride comfort and isolating passengers from rough road excitation. Unlike passive suspension, which has constant spring and damping coefficients, active suspension incorporates electronic actuators into the system to dynamically control stiffness and damping variables. However, effectively controlling the suspension system poses a challenging task that necessitates real-time adaptability to various road conditions. This paper presents the Physics-Guided Deep Re-inforcement Learning (DRL) for adjusting an active suspension system's variable kinematics and compliance properties for a quarter-car model in real time. Specifically, the outputs of the model are defined as actuator stiffness and damping control, which are bound within physically realistic ranges to maintain the system's physical compliance. The proposed model was trained on stochastic road profiles according to ISO 8608 standards to optimize the actuator's control policy. According to qualitative results on simulations, the vehicle body reacts smoothly to various novel real-world road conditions, having a much lower degree of oscillation. These observations mean a higher level of passenger comfort and better vehicle stability. Quantitatively, DRL out-performs passive systems in reducing the average vehicle body velocity and acceleration by 43.58% and 17.22%, respectively, minimizing the vertical movement impacts on the passengers. © 2023 ieee.

关键词： Active Suspension System Deep Reinforcement Learning Mechanical En-gineering Vehicle Vertical Dynamics

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