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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1649 条记录，以下是731-740 订阅

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Modification of methods for optimization of electrical network modes in order to reduce power losses for corona discharge

Modification of methods for optimization of electrical netwo...

引用

International Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Alexander Rakhaev Evgeny Shishkov Samara State Technical University Samara Russia

ISBN: (数字)9781728183985

ISBN: (纸本)9781728183992

The article shows the need to reduce corona losses in electrical networks. For this, we studied the statistics of network companies, as well as the results of scientific research. optimization of the modes of electrical networks is considered as a measure to reduce losses. The existing optimization methods are described, their drawback is indicated - the lack of accounting for the control actions implemented by FACTS devices. A modification of optimization methods is proposed to eliminate the neglect of FACTS devices in the optimization problem. The mathematical model of the modified optimization method is shown. The implemented method is tested on the design model in the software packages “RastrWin3”, “Matlab”. Based on the results of a successful test, the efficiency of the proposed modification of the optimization methods was established..

关键词： Software packages optimization methods Corona Loss measurement Mathematical model Voltage control Matlab

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Congestion control in Optical Burst Switching networks Using Differential Evolution optimization 1

引用

3rd International conference on Intelligent Computing and Communication (ICICC)

作者： Ujalambkar, Deepali Chowdhary, G., V Shri Guru Gobind Singhji IE&T Nanded India

ISBN: (数字)9789811510847

ISBN: (纸本)9789811510847;9789811510830

Optical burst switching (OBS) is a trade-off between optical packet switching (OPS) and optical circuit switching (OCS). OBS is different than these two concepts which allow transmission of control packet separately over reserved optical channel. The most challenging task in OBS is congestion which varies as per the traffic load. In this paper, differential evolution (DE) optimization algorithm is presented for congestion control in OBS network. The performance of DE is evaluated primarily for the total number of congested links against total load and second for the total number of hops against load in the network. This was evaluated on the basis of reduction in the number of congested links. These simulations were carried out for different sparse and dense network likeARPANET, NSFNET, RANDOM-12, and TORUS-9 topology. The results of the same were compared with conventional Dijkstra's shortest path (SP) algorithm, which is widely used as a routing technique and DE exhibits better result.

关键词： Congestion control Differential evolution (DE) Optical burst switching (OBS) Sparse network Dense network

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The intelligent control system of optimal oil manufacturing production 3

The intelligent control system of optimal oil manufacturing ...

引用

3rd International conference on Computational Intelligence and Intelligent Systems, CIIS 2020

作者： Yassine, Hanafi Mohamed Shkodyrev, Vyacheslav P. St.Petersburg St.Petersburg Russia

ISBN: (纸本)9781450388085

In the article, we analyze the optimality of an oil production manufacturing via intelligent control digital twines. By examining the process industry, we present the primary keys of oil production lines, productivity, and quality. To spotlight on the intelligent process control system, as well as on the adaptive intelligent optimization of the production process, we used several methods, namely: Multi-Criteria Decision Analysis, Pareto optimization method and approximate neural network integration of all production line process information;in addition to tracking analysis, productivity and quality control. Even though this article discusses the optimality of oil manufacturing, the conclusions determine in this article can be extended to the processing industry worldwide. © 2020 ACM.

关键词： Productivity

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Nature Inspired Routing in Mobile Ad Hoc network

Nature Inspired Routing in Mobile Ad Hoc Network

引用

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

作者： Yajnaseni Dash Indian Institute of Technology New Delhi India

ISBN: (纸本)9781665438124

Mobile ad hoc network (MANET) is an ad hoc network having inherent flexibility, autoconfiguration, selforganization, self-administration, self-creation, short of infrastructure, little cost, easier deployment, and used for prospective applications. The aforementioned qualities put together in MANETs, as the essence of imminent pervasive computing environments. It is an emergent research field considering routing. As the network topology, bandwidth, and energy efficiency change consistently, designing an effective routing protocol becomes a challenging task in the case of MANETs. This paper provides the basic concepts of wireless networks and an overview of bio-inspired ant colony based routing algorithms for MANETs. Ant colony optimization is based on the probabilistic way to find the shortest path between an ant colony and its food source. A comparison between ant-based routing algorithms such as AntNet (Adaptive routing in ad hoc network), ARA (Ant colony based routing algorithm), and AntHocNet (Ant agents for hybrid multipath routing) is also presented. AntNet uses probabilistic forwarding of data packets using forward and backward ants. In ARA, multiple paths are set by ants in an on-demand manner between source and destination, and AntHocNet is a hybrid combination of both reactive and proactive routing components. In MANETs, nature-inspired routing algorithms are used for proper decision-making, robustness, self-healing, control, coordination, and adaptation purposes.

关键词： Ant colony optimization Wireless networks Software algorithms Routing Probabilistic logic Software Routing protocols

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3rd International conference on Innovative Computing, IC 2020

3rd International Conference on Innovative Computing, IC 202...

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3rd International conference on Innovative Computing, IC 2020

ISBN: (纸本)9789811559587

The proceedings contain 237 papers. The special focus in this conference is on Innovative Computing. The topics include: control Method of Bionic Robot;dynamic Community Recognition Algorithm Based on Node Embedding and Linear Clustering;on Visual Arts Education Based on network Information Technology;design Strategy of Wearable Equipment Based on Smart Home Pension System;network Security Performance Analysis Based on Netflow;intelligent Image Segmentation and Circular Rectangle Dichotomy Defogging Algorithm;design and Implementation of Urban Traffic Flow Resource Data Management System Based on Deep Learning Algorithm;AI Finance and Blockchain Combine Medical Finance;design of Laboratory control and Management System Based on Cloud Service;development Status and Trend of IoT Communication Technology;traffic Planning Method of Smart City Based on network optimization;intelligent Dispatching Platform Based on "Cargo Carpooling";thoughts on the Relationship Between Artificial Intelligence and Philosophy;optimization Strategy of Online Store Marketing Based on Consumer Satisfaction;control Method of Energy Saving and Loss Reduction of Power Grid;analysis of Knowledge Map Characteristics of College Students with Constructing Correct Values;contrasts of University Teachers’ Development on Technology Skills Between China and Australia;construction of Innovation and Entrepreneurship Curriculum System Based on New Media Technology;impact of Internet of Things on Computer Communication networks;hybrid Filtering Recommendation System for Libraries;Suspension System Based on PID control;characteristic of network Attention for Rural Tourism Based on Big Data;development Strategy of Rural Ecotourism Based on "Internet +";measurement of Cross-Border E-commerce Convenience Level in Countries Along the Belt and Road Initiative.

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Path Planning and optimization of Unmanned Ground Vehicles (UGVs) in the Field 3

Path Planning and Optimization of Unmanned Ground Vehicles (...

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3rd International conference on Unmanned Systems (ICUS)

作者： Chen, Zhiwei Hu, Jinwen Zhao, Chunhui Hou, Xiaolei Pan, Quan Xu, Zhao Jia, Caijuan Sch Northwestern Polytech Univ Xian Peoples R China Xian ASN Technol Grp GO Ltd Xian Peoples R China

ISBN: (纸本)9781728180250

Unmanned Ground Vehicle (UGV) can be as a replacement of human beings during a dangerous mission. It can also be applied to military and performs repetitive mechanical transportation. For the UGVs in the conventional layout and structured urban environment, the research of environment perception and path planning technology has been relatively mature. Compared with the flat ground, the control of the UGV in the field is unknown and more complex. This article revolves autonomous control of the UGV in the field, putting forward a kind of path planning and optimizing technology for the UGV under complex environment. Research content includes: Conduct field environment modeling with environment information. First, the environment is detected by the fusion of lidar and IMU. Then a more accurate environment model is obtained by training the RBF neural network. Use the obtained environmental model to conduct path planning for the UGV in the field. The path planning trajectory is obtained by introducing the distance between the starting point and target point, the environmental height and environmental gradient constraints to construct the cost function. Then Analyze different characteristics of the paths that are generated by modifying the constraint function. Optimize the smoothness of the generated path for the field UGV. The path is optimized from broken lines into a curve by using a 5th order polynomial trajectory.

关键词： Unmanned Ground Vehicles Environment Perception Path Planning RBF Neural network optimization Algorithm

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Proceedings - 2020 3rd International conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2020

Proceedings - 2020 3rd International Conference on Advanced ...

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3rd International conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2020

ISBN: (纸本)9781728181431

The proceedings contain 201 papers. The topics discussed include: assessment study of aging life for typical defects in XLPE cable joints;prototype design of landslide forecast system based on Axure;topic analysis of internet public opinion on natural disasters based on time division;research on dynamic detection of geometric parameters of groove rail based on laser triangulation and four-point chord measurement;DCBGCN: an algorithm with high memory and computational efficiency for training deep graph convolutional network;base on the design and implementation of the quality control system of food antioxidant vitamins C;a mobile robot path planning algorithm based on multi-objective optimization;research on property prediction of materials based on machine learning;and Chinese sentence compression algorithm based on deep analysis of sentence hierarchy in multiple application scenarios.

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Robust Day-Ahead Scheduling of Source-network-Load-Storage Flexible Resources for Wind Power Accommodation

Robust Day-Ahead Scheduling of Source-Network-Load-Storage F...

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Electrical Engineering and control Technologies (CEECT), conference on

作者： Qian Zhou Xiaochuan Xu Wenhao Xiao Yanbin Xie Yuan Zhu Fan Mu State Grid Chongqing Electric Power Company Chongqing China State Grid Chongqing Urban Electric Power Supply Branch ChongqingChina

In view of the large-scale development of wind power around the world, the coordination scheduling of source-network-load-storage (SNLS) flexible resources is beneficial to utilize wind power. Firstly, considering uncertainties of both wind power and price-based demand response (PDR), this paper constructs a day-ahead scheduling model of SNLS flexible resources based on robust optimization framework. Secondly, the constructed model considers the operation characteristics of SNLS flexible resources, with the minimum total cost as the optimization goal, and considers life constraints on battery energy storage (BES) and congestion management on transmission lines. After linearization, the model constructed in this paper is formulated as a mixed-integer linear programming (MILP) problem. Finally, numerical test is carried out on the modified version of the IEEE 30-bus test system. Through comparative analysis, the test results verify the feasibility and effectiveness of the proposed method for scheduling SNLS flexible resources to accommodate wind power.

关键词： Electrical engineering Uncertainty Power transmission lines Costs Wind power generation Demand response Numerical models

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Design and development of virtual experiment network platform for rig control 3

Design and development of virtual experiment network platfor...

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

作者： Sha, Linxiu Cheng, Changfeng Shaanxi Key Laboratory of Drilling Rig Control Xi'An Shiyou University Xi'an China School of Electronic Engineering Xi'An Shiyou University Xi'an China

ISBN: (纸本)9781728170831

With the continuous development of oil and gas exploration technology, virtual reality technology has been introduced into rig control teaching and research field. Using the network technology, the interactive platform provides a new way which can reduce training cost, the risk of authentic drilling research as well as the limitation of space and time. It is introduced how to design virtual experiment network platform based on Web technology which is included control practical operations, control optimization and online examination projects for rig control. It integrates intelligent optimization, remote interaction, dynamic display of virtual reality and training management. This platform contributes can not only resolve the difficulties of recognition, operation and experimentation for petroleum engineering students in drilling field, but also meet the professional quality training of employees in the rig control field. © 2020 IEEE.

关键词： Virtual reality

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Uplink and Downlink Throughput optimization Scheme for Millimeter Wave D2D Communication 3

Uplink and Downlink Throughput Optimization Scheme for Milli...

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3rd International conference on Mechatronics and Intelligent Robotics (ICMIR)

作者： Su, Hui Hui Qu, Wen Bo Peng, Yi Kunming Univ Sci & Technol Fac Informat Engn & Automat Kunming 650500 Yunnan Peoples R China

The power distribution of terminal direct communication (D2D communication) in 5G communication technology is a hot topic in recent research. In order to improve system capacity and spectrum utilization, this paper combines millimeter wave and D2D communication technology, which is aimed at 28GHz frequency band uplink. The D2D resource allocation in the road and downlink cellular networks is studied, and the total system throughput is maximized to optimize the algorithm. First, the admission set corresponding to each D2D pair is derived. Secondly, considering the power control of each D2D to the user and the cellular user, the throughput in the uplink and downlink is respectively determined. Finally, the D2D is guaranteed. The cellular user channel is assigned to the D2D pair on the premise of maximizing the total throughput. On the surface of the simulation results, the proposed scheme can significantly improve the throughput of the system. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： Millimeter wave D2D Throughput Uplink Downlink

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