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Research on Key Technologies of SNOP Suitable for Distribution network

Research on Key Technologies of SNOP Suitable for Distributi...

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IEEE International conference on Circuits and Systems (ICCS)

作者： Jianfeng Gong Dongsheng Dang Yan Li Yongning Chi XiaoJing Dong Panlong Jin State Grid Ningxia Electric Power Co.ltd Yinchuan China Institute of Technology and International Standard Beijing China

ISBN: (纸本)9781665429634

To ensure power quality and power supply reliability, the architecture and mode of the power distribution system are undergoing major changes. In order to further solve these problems and ensure the power quality and power supply reliability of the distribution network, active distribution network technology and various distribution network-oriented power electronic equipment have attracted the attention of scholars from all over the world. Among them, SNOP has gradually become a field of distribution network. New research hotspots. In recent years, scholars in the world have begun to pay close attention to the impact of SNOP on the distribution network and its application of key technologies. SNOP is a new type of flexible primary equipment that can replace traditional tie switches at several key nodes in the distribution network. Compared with the traditional tandem switch, it not only has two states of on and off, but also has no limitation of the number of actions of traditional mechanical switches. It increases the continuous controllable state of power, and has the characteristics of flexible switching of operating modes and flexible and diverse control methods. With the gradual maturity of operation control technology, SNOP’s continuous power adjustment ability has become more prominent and no longer has the obvious “normally open” feature, so it is more called SOP (soft open point) in subsequent research. SOP technology aims to replace traditional circuit breaker-based feeder tie switches with controllable power electronic converters, thereby realizing normalized flexible “soft connections” between feeders, and can provide flexible, fast and accurate power exchange control and power flow optimization capabilities. At present, the research on SNOP at home and abroad has just started, and the problems related to SNOP’s device research and development, control technology, and system access need to be solved urgently.

关键词： Power quality Power distribution Distribution networks Switches control systems Power electronics Power markets

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An obstacle avoidance design of UAV based on genetic algorithm 3

An obstacle avoidance design of UAV based on genetic algorit...

引用

3rd International conference on Mechanical, Electric and Industrial Engineering, MEIE 2020

作者： Hu, Xusheng Liu, Juan Key Laboratory of Unmanned Aerial Vehicle Development Data Application of Anhui Higher Education Institutes Wanjiang University of Technology Ma'anshan243031 China Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma'anshan243031 China Ma'anshan Technical College Ma'anshan243030 China

In order to improve the effect of obstacle avoidance, a PID control algorithm combined with genetic algorithm is proposed. By establishing the mathematical model of UAV, the auxiliary control system of UAV is analyzed, and then the control system is optimized by genetic algorithm. Taking STM32 as the control platform, the obstacle avoidance experiment was carried out by building the experimental platform. The experimental results show that the algorithm can avoid obstacles effectively. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Genetic algorithms

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3rd International Scientific conference on Convergent Cognitive Information Technologies, Convergent 2018

3rd International Scientific Conference on Convergent Cognit...

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3rd International Scientific conference on Convergent Cognitive Information Technologies, Convergent 2018

ISBN: (纸本)9783030374358

The proceedings contain 35 papers. The special focus in this conference is on Convergent Cognitive Information Technologies. The topics include: Path Planning of Mobile Robot Based on an Improved Ant Colony Algorithm;algorithm for Customers Loss Minimization with Possible Supply Chain Disruption;regulation of the Crowd Dynamic Objects Flight Through the Narrow Tunnel;Financial Risk Assessment in the SiU8 Futures Trading Using Neural network Based on the SAR-Method;some Questions of Trajectory control of Quadrotor Motion;Dynamics Characteristics optimization for the UAV Ensemble of Motions;application the Evolutional Modeling to the Problem of Searching the Optimal Sensors Location of Fire-Fighting System;adaptive System Monitoring of the Technical Condition Technological Objects Based on Wireless Sensor networks;disaster Tolerance of On-Board control Systems for Ground Robots;on Mathematical Visualization in Education;application of the Asymptotic Observers for the Stabilization of the Time-Delay Linear Equations;multi-purpose control of a Moving Object Using Computer Vision Algorithms;stabilization of the Underactuated Robot on the Visual Trajectory;simplified Rotor Angular Velocity Estimation for a Permanent Magnets Synchronous Motor by Current and Voltage Measurements;on Data Analysis of Software Repositories;Development of BI-Platforms for Cybersecurity Predictive Analytics;improving the Target Quality Chat-Bots on the Basis of Linguistic Metametric Text;new Methods of the Cybersecurity Knowledge Management Analytics;on a New Approach to Neighbor Discovery as Data Sharing Tool;research of Urban Residents Involvement in Environmental Processes Using a Mobile Environmental Application;cognitive Computing Cybersecurity: Social network Analysis;about the Digital Economy Software.

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QoS Investigation for Power network with Distributed control Services 1

引用

3rd International conference on Machine Learning for Cyber Security, ML4CS 2020

作者： Jin, Shen Liang, Xuesong Tian, Hao State Grid Jibei Information and Company Langfang China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

ISBN: (数字)9783030622237

ISBN: (纸本)9783030622220

In this paper, a distributed control scheme of key technologies is designed, which mainly includes QoS (quality of service) identification module and QoS routing optimization module. At the same time, a new routing method is designed to transform routing tables and optimize QoS multicast routing by using quantum evolutionary algorithm. This paper realizes the traditional centralized control of power network, the comprehensive transformation of service and QoS separation mode, and realizes the distributed QoS control mode according to the power service. The experimental results show that the newly designed scheme can provide different QoS guarantees according to different needs of the service and can effectively improve the QoS performance of the power grid. © 2020, Springer Nature Switzerland AG.

关键词： Quality of service

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Research on optimization of cathodic protection effect of buried pipeline 3

Research on optimization of cathodic protection effect of bu...

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3rd International conference on Computer network, Electronic and Automation, ICCNEA 2020

作者： Zhang, Qizhi Li, Lin Quan, Bo School of Electronic Engineering Xi'An Shiyou University Xi'an China Shaanxi Key Laboratory of Oil and Gas Well Measurement and Control Technology Xi'an China Xi'An Shiyou University School of Electronic Engineering Xi'an China

ISBN: (纸本)9781728170831

Cathodic protection is an important means to inhibit the electrochemical corrosion of pipelines, and the distribution of its potential directly affects the effectiveness of pipeline protection. By establishing a mathematical model of pipeline cathodic protection and using numerical simulation methods to study the distribution rule of pipeline cathodic protection potential, the main factors affecting the distribution of pipeline cathodic protection potential are determined by the embedding position and output current value of auxiliary anode. Then, the optimal buried position of the anode and the optimal output current value of the anode are used as optimization objectives to establish an objective function, and the optimal anode position and optimal anode output current value are searched out by the simulated annealing algorithm. Finally, the feasibility of the optimization scheme is verified based on the actual protection potential of the pipeline, and the results prove that the method has certain reference value for the design of cathodic protection. © 2020 IEEE.

关键词： Simulated annealing

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CAD System for Detection and Classification of Liver Cancer using optimization Neural network Convolution Neural network Classifiers 3

CAD System for Detection and Classification of Liver Cancer ...

引用

3rd IEEE International conference on Power, Instrumentation, control and Computing, PICC 2020

作者： Jose, Reshma Chacko, Shanty Karunya Institute of Technology and Sciences Karunyanagar Department of ECE Coimbatore India

ISBN: (纸本)9781728175904

Deep learning is a recent field of machine learning that has garnered a great deal of attention in recent years. It has been commonly used for a variety of applications and has proved to be a strong machine learning method for many complex problems. Liver cancer appears to be a leading cause of female death, and a lot of money has been spent in the form of preventative screening programs. The use of automatic image processing techniques resulting from deep learning in that same sense represents a promising way of helping to detect liver cancer. In this paper, ADF-USM (Anisotropic diffusion filtering with Unsharp masking) completed the liver malignant growth CT (Computer Tomography) image preprocessing, the shapes and curves were effectively differentiated and upgraded by histogram equalization. It is seen by analyzing the results of the division method that the SSBIC (Superpixel Segmentation Based Iterative Clustering) algorithm produces favorable results than other current strategies. Finally, the process for classification relies mostly on execution of AGWO-CNN (Adaptive Grey Wolf optimization with Convolution Neural network classifier) to verify whether the images are benign or malignant. Experimental results on CT images show that the AGWOCNN model achieved high processing efficiency with an accuracy of 97.6 percent in the classification of liver cancer compared to other classification models. © 2020 IEEE.

关键词： Convolution

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Deep Reinforcement Learning using Cyclical Learning Rates 3

Deep Reinforcement Learning using Cyclical Learning Rates

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3rd International conference on Artificial Intelligence for Industries (AI4I)

作者： Gulde, Ralf Tuscher, Marc Csiszar, Akos Riedel, Oliver Verl, Alexander Univ Stuttgart Inst Control Engn Machine Tools & Mfg Units D-70174 Stuttgart Germany

ISBN: (纸本)9781728187013

Deep Reinforcement Learning (DRL) methods often rely on the meticulous tuning of hyperparameters to successfully resolve problems. One of the most influential parameters in optimization procedures based on stochastic gradient descent (SGD) is the learning rate. We investigate cyclical learning and propose a method for defining a general cyclical learning rate for various DRL problems. In this paper we present a method for cyclical learning applied to complex DRL problems. Our experiments show that, utilizing cyclical learning achieves similar or even better results than highly tuned fixed learning rates. This paper presents the first application of cyclical learning rates in DRL settings and is a step towards overcoming manual hyperparameter tuning.

关键词： Cyclic Cyclic Learning Rates Deep Reinforcement Learning Gym Learning OpenAI

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Automatic Finite Deterministic Algorithm and PSO Based Secured Energy Efficient Routing in Wireless Sensor network

Automatic Finite Deterministic Algorithm and PSO Based Secur...

引用

Advances in Computing, Communication control and networking (ICAC3N), International conference on

作者： Priyanka Shah Tanmay Kasbe Oriental University Indore Madhya Pradesh India

ISBN: (纸本)9781665438124

Economic sensor networks have always been a boon to disaster management applications due to their ease of setup. Communication is difficult for them due of their vulnerability to a variety of security dangers. This study presents a new routing strategy those guards against both external and internal threats such as hello flooding, eavesdropping, and wormhole attacks. To limit energy dissipation, this method employs a one-way hash chain. Event-driven clustering at the level also saves energy. The suggested technique extends network longevity even when the cluster-based wireless sensor network is under attack, according to simulated results. A 5G wireless sensor network (WSN) is a collection of self-contained nodes that monitor the environment. WSN design goals like as energy efficiency or secure data transmission are primarily measured. With the increasing difficulties of workstation networks, network-based attacks have drawn the attention of various academics from various domains. As a result, multiple intrusion detection systems (IDS) have been built to address various areas of complicated security, such as denial-of-service attacks, worms, viruses, malware, and so on. IDS automation has been designed to safely restore the realization of energy-efficient routing in wireless sensor networks. Intrusion detection and data transmission performed in a secure manner using automatic finite deterministic and particle swarm optimization (PSO) algorithms that determine and follow an optimum path. Routing along the optimal path can restore the overall appearance of a sensor network in wireless technology, and it can be managed using a variety of indicators (such as power expenditure, capacity, network life, active nodes and dead nodes). The threat model and safety objectives for secure routing in wireless networks are discussed in this paper. The simulation was carried out using the MATLAB simulation software.

关键词： Wireless sensor networks Computational modeling Intrusion detection Routing Energy efficiency Mathematical models Workstations

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Vulnerability Discovery in network Systems Based on Human-Machine Collective Intelligence 3rd

Vulnerability Discovery in Network Systems Based on Human-Ma...

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3rd International conference on Intelligent Human Systems Integration (IHSI) - Integrating People and Intelligent Systems

作者： Han, Ye Chen, Jianfeng Rao, Zhihong Wang, Yifan Liu, Jie China Elect Technol Cyber Secur Co Ltd Chengdu 610041 Peoples R China Cyberspace Secur Key Lab Sichuan Prov Chengdu 610041 Peoples R China

ISBN: (纸本)9783030395124;9783030395117

network vulnerability mining is an important topic in cyberspace security. network vulnerabilities enable attackers to obtain sensitive information from computer systems, control computer systems illegally and cause severe damage. More effective vulnerability mining requires wider participation of cybersecurity engineers and intelligent computing devices as cooperation among the mining participants could take advantages of the complementarity capabilities of human and machine. The human and resource cost of network vulnerability mining can be remarkably reduced and the mining efficiency is improved accordingly. The principles and engineering mechanisms of introducing collective intelligence to network vulnerability mining is discussed in the paper and a vulnerability mining platform based on crowd intelligence is established following a four-layer system structure. Experimental tests showed that cooperation enables mining participants to work better and learn from empirical information, while better mining results could be obtained through procedure optimization.

关键词： Cybersecurity Vulnerability Collective intelligence

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Hybrid WSN Node Deployment optimization Strategy Based on CS Algorithm 3

Hybrid WSN Node Deployment Optimization Strategy Based on CS...

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IEEE 3rd Information Technology, networking, Electronic and Automation control conference (ITNEC)

作者： Xiang, Tingli Wang, Hongjun Shi, Yingchun Natl Univ Def Technol Hefei Anhui Peoples R China

ISBN: (纸本)9781538662434

The performance of wireless sensor network (WSN) system is significantly affected by the coverage quality. For the problem of low coverage of static sensor network nodes and high deployment cost of mobile sensor network nodes, a hybrid sensor network based on cuckoo search (CS) is studied. Node deployment optimization strategy. Firstly, the candidate target position of the mobile node is initially determined by the CS algorithm, and then the position optimization scheme is used to reduce the number of mobile nodes and the average moving distance. The experimental results show that the proposed algorithm can effectively optimize the deployment of mobile nodes in hybrid WSN, improve the coverage of target areas, and reduce the energy consumption of nodes.

关键词： wireless sensor network hybrid sensor network cuckoo search coverage

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