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A topology-based optimization method for software-defined satellite network control 3

A topology-based optimization method for software-defined sa...

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2020 3rd International conference on Computer Information Science and Artificial Intelligence, CISAI 2020

作者： Qiao, Wenxin Lu, Hao Li, Zhiwei Chen, Xingkai Shi, Runze Shijiazhuang Campus Army Engineering University Shijiazhuang050003 China Beijing Aerospace Control Center Beijing100094 China Troops of 32020 Wuhan430061 China Troops of 32382 Wuhan430300 China

Satellite network is gaining significant attention, and software-defined networking architecture is more and more popular as applied in many traditional networking fields. In order to meet the diversified user service requirements and the continuously expanding application scenario requirements, the research of software defined satellite network combining satellite network and software definition has gradually become a research hotspot. Aiming at the problem of how to optimize the control function of software-defined satellite network, this paper proposes a control optimization method based on topological structure. By quantifying the controllability of the network structure and eliminating the special characteristic structure, the controllability of the network is improved, and then the control function of software-defined satellite network is optimized. The simulation results show that the controllability of the network is improved by the method. © Published under licence by IOP Publishing Ltd.

关键词： Topology

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Distributed Optimal Scheduling of AC/DC Hybrid Distribution network Based on ADMM

Distributed Optimal Scheduling of AC/DC Hybrid Distribution ...

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Electrical Engineering and control Technologies (CEECT), conference on

作者： Fengjie Sun Aoyang Han Yong Zhang Shengqi Zhou Hongbo Liu Zijin Zhang State Grid Shandong Qingdao Electric Power Company Qingdao China Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong University Shanghai China

With the increasing in the penetration rate of energy storage system and distributed generator such as wind power, photovoltaics, electric vehicles in the distribution network, the operation scheduling of the AC/DC hybrid distribution network (AC/DC HDN) becomes one of the current research focuses at the field of Electrical Engineering. However, the traditional centralized optimization scheduling has problems such as large transmission requirements and low computational efficiency. A distributed optimal scheduling model of AC/DC HDN is put forward on the basis of the alternating direction multiplier method (ADMM). The internal coupling relationship of AC/DC HDN adopting the voltage source converter (VSC) is analyzed, and it is decomposed into the AC subsystem, DC subsystem, and VSC subsystem, correspondingly. Aiming at these three subsystems, with the goal of the lowest economic operation cost, a distributed optimization operation model is established respectively, and the alternate iterative solution is performed based on ADMM. Finally, based on the topology structure of the IEEE 33-node example system, related examples are designed to simulate and verify the proposed distributed optimal scheduling of the AC/DC HDN.

关键词： Electrical engineering Couplings Costs Processor scheduling Computational modeling Optimal scheduling Distribution networks

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The combat application of queuing theory model in formation ship to air missile air defense operations 3

The combat application of queuing theory model in formation ...

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2020 3rd International conference on Advanced Algorithms and control Engineering, ICAACE 2020

作者： Zhong, Zhitong Zhang, Lin Dailian Naval Academy Liaoning Province Dalian116018 China

This paper is trying to analyze the dynamic process of air defense operations by using queuing theory synthetically, targeting at the firepower optimization and effectiveness evaluation in air defense operations of surface vessel formation. It also establishes the service model of intercepting air targets by single type and multi type ship to air missiles, and finally comes up with the optimization model of air defense firepower. Vaule for formation configuration, optimization of air defense firepower and effectiveness evaluation. © Published under licence by IOP Publishing Ltd.

关键词： network security

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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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IoT-based Efficient Waste Management on University Campus: Enhancing Monitoring and optimization through Machine Learning

IoT-based Efficient Waste Management on University Campus: E...

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3rd International conference on Machine Learning and Data Engineering, ICMLDE 2024

作者： Sumathi, M. Hanumanthappa, J. Santhosh Kumar, K.S. Shiva Prakash, S.P. Meghana, J. Department of Studies in Computer Science University of Mysore Manasagangothri Campus Mysuru Karnataka570006 India Department of Artificial Intelligence and Machine Learning Mysore University School of Engineering University of Mysore Manasagangothri Campus Mysuru Karnataka570006 India Department of Information Science and Engineering & Computer Science and Business Systems JSS Science and Technology University Mysuru Karnataka570006 India Department of Computer Science Mahajana Post Graduate Center Mysuru Karnataka570016 India

The introduction of an IoT-based smart waste management system is proposed to optimize various aspects of university campus waste recycle management processes, such as garbage collection scheduling, waste type identification, and collection routes. This system utilizes advanced data analytics algorithms, wireless communication protocols, and sensors to measure and document variations in trash levels, enabling real-time monitoring of waste accumulation. Through this IoT-based infrastructure, university administrators and waste management staff gain fine-grained visibility and control over garbage collection processes. The implications for sustainability advocacy and environmental stewardship in academic environments are significant. By fostering a culture of environmental awareness and accountability, universities can instill ideals of conservation and resourcefulness in their student populations and staff. The proposed IoT-enabled waste bin system exemplifies the synergy between technological innovation and environmental responsibility, serving as a model for institutions worldwide. Collaboration among universities can leverage IoT technology to drive positive change, mitigate environmental degradation, and promote sustainable practices beyond campus boundaries. Efficient waste management is crucial for nurturing sustainability on college and university campuses, as evidenced by the urgent need for the collection and recycling of compost, general waste, and recyclables. Our models consistently achieve high performance, with perfect scores (1.000) across all split ratios, indicating flawless classification of waste types. Although the Artificial Neural network (ANN) demonstrates slightly lower accuracy, ranging from 0.973 to 0.997 depending on data splits, it still performs well. As a result, Naive Bayes produces less accurate results, typically surpassing 0.93 but falling short of Random Forest, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM)'s flawless

关键词： Electronic Waste

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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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