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Research on the Model of Equipment Theory Learning based on Tabu Search-parallel Genetic Algorithm 3

Research on the Model of Equipment Theory Learning based on ...

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3rd international conference on Computers, information Processing and Advanced Education, CIPAE 2022

作者： Lin, Shicong Li, Fan Wu, Lili Army Aviation Institute of PLA Beijing China Unit 32380 of PLA Beijing China

ISBN: (纸本)9781665468121

In view of the characteristics of teaching and training tasks in military academies, a Tabu Search-parallel Genetic Algorithms is proposed in this paper, and the model of equipment theory learning is studied based on this algorithm. The algorithm can greatly improve the operation efficiency and convergence, and can realize fast retrieval and matching. It plays a key role in the establishment of learning model, and provides technical support for the development of equipment theory learning system in the next step. © 2022 IEEE.

关键词： Tabu search

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Research on distributed model forecasting parallel framework based on adaptive genetic algorithm

Research on distributed model forecasting parallel framework...

引用

Electronic Technology, Communication and information (ICETCI), IEEE international conference on

作者： Yuting Yang Xiaoxia Liu Shanghai Institute of Technology Shanghai China

With the progress of the Internet information age and the rapid development of Internet technology, adaptive genetic algorithms have been applied in various industries to process data in various fields. However, the traditional adaptive genetic algorithm has problems such as slow convergence speed and easy falling into local optimum. Based on the above background, this paper mainly studies an improved strategy of adaptive genetic algorithm based on a density parameter optimization algorithm. In addition, the proposed improved strategy mainly uses the nearest neighbor collaborative filtering algorithm to improve the average distributed parallel quality of the algorithm, and optimizes the distributed parallel mode and distributed parallel characteristics of the adaptive genetic algorithm respectively. Therefore, the improved strategy has the features of simplicity and high efficiency, fast convergence speed, and strong global search ability, having important research significance in the field of data analysis.

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Impedance and Admittance Specifications for Small-Signal Stability of Multi-bus DC distributed Power systems 3

Impedance and Admittance Specifications for Small-Signal Sta...

引用

3rd IEEE international Power Electronics and Application conference and Exposition, PEAC 2022

作者： Zhan, Ding Chen, Wu He, Bangbang Zhang, Chun School of Electrical Engineering Southeast University Nanjing China

ISBN: (数字)9781665491419

ISBN: (纸本)9781665491419

Currently, the scale of dc distributed power systems (DPSs) keeps growing, which makes the number of the buses larger and the stability analysis more complex. In this paper, impedance and admittance specifications of multi-voltage-level dc DPS that restricts impedance or admittance of the bus-connected converters or subsystems and the transfer function of intermediate bus converter (IBC) is proposed and studied. A two-voltage-level dc DPS experiment platform is constructed to verify the specifications. It is proved that the specifications are able to ensure the stability of the multi-voltage-level dc DPS, and thus guarantee the designing process of the parameters are decoupled and decentralized. It solves the problems of the cost and the timeliness of every converter, subsystem and IBC's information transmission and the curse of dimensionality that extensively exist in the stability analysis of multi-voltage-level dc DPSs. © 2022 IEEE.

关键词： Electric power transmission

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Research on DDOS Attack Detection Method Based on Dynamic Threshold 3

Research on DDOS Attack Detection Method Based on Dynamic Th...

引用

3rd international conference on Machine Learning and Computer Application, ICMLCA 2022

作者： Tan, Xiaobo Zhang, Zhongliang College of Information Science and Engineering Shenyang Ligong University Liaoning Shenyang China Department of Computer Technology Shenyang Ligong University Liaoning Shenyang China

ISBN: (纸本)9781510664814

distributed Denial of Service (DDOS) attack is a typical network attack. It paralyzes the target host through a large amount of resource occupation, which poses a great threat to Internet security. Since the birth of distributed denial of service (DDOS) attacks, a large number of them have been designed for DDOS detection every year. However, in the high-speed network era, they cannot control the complex and changing network environment. Therefore, this paper proposes a dynamic threshold detection method based on machine learning. This method processes network traffic in segments, analyzes the characteristics of a segment of network traffic and converts it into four traffic attributes, predicts the threshold of the next window by sliding window, and classifies data points in the window by using similarity. When all four attributes exceed the threshold range in a certain period of time, it is considered to be subject to DDOS attacks. At the same time, a freezing backtracking mechanism is proposed to prevent dynamic parameters from being polluted by attack traffic and speed up the generation of new thresholds after the attack. Compared with the traditional fixed threshold algorithm, this method has a very low false alarm rate for complex network environment, faster processing time, and significantly improved accuracy. © 2023 SPIE.

关键词： Network security

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Research, Development and Application of Railway Bridge information Construction Management Platform Based on BIM+GIS+IoT Technology 3

Research, Development and Application of Railway Bridge Info...

引用

3rd international conference on Artificial Intelligence and Computer Engineering, ICAICE 2022

作者： Qi, Chenglong China Railway Design Corporation Tianjin300308 China

ISBN: (纸本)9781510663473

In order to resolve the high resource consumption, labour shortage and low information integration problems in the existing extensive construction mode of railway bridges, in combination with railway bridge engineering characteristics, after a general research on intelligent construction necessity and a variety of cutting-edge information technologies, this paper presents a railway bridge information construction management platform which is based on "cloud + end" system, combining with BIM, GIS, cloud computing, big data, Internet of Things, artificial intelligence and other technologies. The main technical route is as follows: in terms of functional architecture, the platform includes 8 modules related to management process and digital construction, ensuring clients two interaction modes: web terminal and mobile terminal;In terms of logical architecture, the platform takes spring cloud as the technical framework, using spring boot to develop distributed systems with Microservices Architecture, and decomposing various business functions into multiple discrete services;In terms of physical architecture, the platform mainly includes front-end server, database server, application server, BIM model management server and firewall, all of which are deployed in Alibaba cloud. The platform is applied to the Changqing Yellow River Bridge Project of Zhengji Railway. Results show that this platform can significantly improve the production efficiency, management efficiency and decision-making ability on site, realize intelligent site with digital twin characteristics, ensure construction safety and save project investment. © 2023 SPIE.

关键词： information management

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A Review of Security and information Control in Blockchain-Integrated IoT Applications 3

A Review of Security and Information Control in Blockchain-I...

引用

3rd IEEE international conference on Blockchain and distributed systems Security, ICBDS 2024

作者： Cholke, Abhijeet Mandhare, V.V. Vikhe, P.S. Matoshri College of Engineering & Research Centre Department of Computer Engineering Nashik India Pravara Rural Engineering College Department of Computer Engineering Loni Ahmednagar India Pravara Rural Engineering College Department of Instrumentation and Control Engineering Loni Ahmednagar India

ISBN: (纸本)9798350354348

The convergence of the Internet of Things (IoT) and blockchain technologies has gained substantial traction in recent years, owing to the rapid advancement of communication technologies worldwide. This research introduces a prototype model that seamlessly integrates an IoT platform with blockchain technology to ensure the integrity of data. The prototype establishes a decentralized framework for IoT devices, underpinned by a private blockchain infrastructure capable of replicating device data and validating transactions among devices through a consensus mechanism. Nevertheless, the implementation of this concept necessitates a closer examination of various considerations. One crucial aspect to address is transforming data generated by diverse IoT devices into a format compatible with the blockchain. This research takes a proactive approach to effective data management within the blockchain. Initially, we collect data from IoT devices and systematically store it in a blockchain-compatible manner. The custom blockchain and smart contract components define the data access policies for end-users. Within this model, we categorize IoT appliances responsible for different services into distinct sets of chains. These sets of chains collaboratively exchange data while adhering to a comprehensive access control *** research endeavors to harmonize IoT and blockchain technologies through a prototype that safeguards data integrity. It tackles the challenge of data conversion from various IoT devices into a blockchain-compatible format and outlines a sophisticated data management strategy. By delineating access policies and segmenting IoT appliances into specialized sets of chains, this model aims to facilitate secure and efficient data sharing among decentralized IoT devices. © 2024 IEEE.

关键词： Data integrity

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SP-ADMM: a distributed optimization method of SFC placement for 5G-MEC networks 3

SP-ADMM: a distributed optimization method of SFC placement ...

引用

3rd international conference on Algorithms, Microchips, and Network Applications, AMNA 2024

作者： Zhang, Zhibo Wang, Huiqiang Niu, Shuangyue Lv, Hongwu College of Computer Science and Technology Harbin Engineering University Harbin China AVIC Chengdu Aircraft Design and Research Institute Chengdu China

ISBN: (纸本)9781510680098

Recently, the combination of a service function chain (SFC) with network function virtualization (NFV) and software-defined networking (SDN) has provided customers with flexible and efficient services. The emergence of multi-access edge computing (MEC) further enhances the level of service customization. However, achieving joint optimization of virtual network function (VNF) deployment and flow allocation in resource-constrained scenarios while meeting the diverse requirements of 5G verticals is challenging. Current research rarely addresses dedicated service provisioning for edge servers and considers the additional instantiation overhead introduced by adjusting cloud server parameters. In fact, this is a non-negligible issue during SFC deployment in 5G-MEC scenarios. Based on the above considerations, this paper constructs a joint SFC deployment problem for edge-cloud networks with the goal of maximizing network utility. We first propose a univariate modeling method based on meta-links that effectively avoids the variable coupling problem in traditional multivariate modeling approaches and reduce the problem size by at least half. Subsequently, to solve the NP-hard integer nonlinear problem (INLP), we propose a distributed computing architecture named SP-ADMM, which improves the speed and quality of SFC deployment in large-scale scenarios via convex combinatorial formulations and a Viterbi-based heuristic algorithm (PAC-GREP). Finally, we experimentally verify the convergence and approximation of the algorithms. Our solution demonstrates advantages in terms of network utility and convergence speed under the same network resources, increasing service capacity by at least 39%. © 2024 SPIE.

关键词： Network function virtualization

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Theoretical Study of Underground Wireless Communication System Based on distributed Network 3

Theoretical Study of Underground Wireless Communication Syst...

引用

3rd international conference on Electronics and Communication;Network and Computer Technology (ECNCT)

作者： Liang Mo Beijing Huayu Engn Co Ltd Xian Branch China Coal Technol & Engn Grp Xian 710075 Shaanxi Peoples R China

ISBN: (数字)9781510652118

ISBN: (纸本)9781510652118;9781510652101

To prevent communication failure in presence of severe underground coal-mine accidents, a large number of research was conducted to improve the effectiveness and reliability of the underground wireless communication systems in literature. In this paper, we first propose to replace the conventional lumped communication system, with the distributed network system. We also demonstrate a software-defined adaptive networking scheme. This scheme enables the automatic re-configuration, when some links or nodes fail in the network. At the same time, the routing strategy based on field strength is provided and the simulation verification is carried out. The results show that the proposed strategy can avoid the inefficient information exchange in the network, and significantly prolong the network life cycle. In addition, we propose an accumulative reception method, coupled with a multi-node co-transmission technique, that significantly improve the transmission reliability. The method is derived mathematically and verified by numerical simulations. The results show that the signal-to-noise ratio at the receiving end is improved, leading to a more reliable communication. The transmission throughput can be maximized when downhole accidents occur. These technologies lay a solid foundation for a more intelligent, efficient and reliable next generation underground wireless communication system.

关键词： underground wireless communication distributed network adaptive network effectiveness reliability

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Optimization of Edge Computing Task Offloading Based on Multi-Agent Game 3

Optimization of Edge Computing Task Offloading Based on Mult...

引用

3rd international conference on High Performance Computing and Communication Engineering, HPCCE 2023

作者： Yang, Bo Liu, Yusheng Li, Hao Chen, Yimin Deng, Xuegang School of Information Science Yunnan University Kunming650500 China School of Agricultural Economics and Rural Development Renmin University Beijing100000 China Yunnan University School of Information Science & Engineering Yunnan Engineering Rese Arch Center of Smart Tourism Kunming Kunming650500 China Yunnan Development and Reform Commission Kunming China

ISBN: (数字)9781510674653

ISBN: (纸本)9781510674646

In a multi-access edge computing environment, optimizing task offloading under various constraints is a complex challenge. Traditional methods often neglect constraint relationships, leading to uneven resource allocation and suboptimal system performance. Additionally, these methods struggle to adapt to dynamic demands in edge computing. This paper introduces a novel distributed task offloading algorithm based on multi-agent deep reinforcement learning. This approach coordinates multiple agents in making task offloading decisions, aiming to achieve optimized task allocation while respecting constraints, thereby enhancing system performance and reducing latency and energy consumption. Simulation experiments in edge computing scenarios validate the effectiveness and stability of the proposed method. Results demonstrate that the multi-agent deep reinforcement learning approach outperforms traditional methods significantly. It excels in reducing task completion time and lowering terminal device energy consumption, affirming its effectiveness. This research offers a fresh perspective on task offloading strategies in edge computing, addressing limitations in traditional methods and providing a foundation for further exploration in this domain. © 2024 SPIE.

关键词： Reinforcement learning

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Speed up QC-LDPC decoder through memory subsystem optimization 3

Speed up QC-LDPC decoder through memory subsystem optimizati...

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3rd international conference on Electronic Communication and Artificial Intelligence, IWECAI 2022

作者： Li, Yajie Liu, Dake Zhou, Xinbing Chen, Wei School of Information And Communication Engineering Hainan University Haikou China

ISBN: (纸本)9781665479974

In this paper, we proposed a QC-LDPC decoder for 5G NR, WiMAX, and WLAN applications. The decoder can flexibly support arbitrary code length and rate under 5G NR standard. This design follows programmable ASIP (Application Specific Instruction-set Processor) design method and uses data parallel SIMD (Single Instruction Multiple Data) architecture. We doubled the logic computing speed to improve the throughout instead of using double speed memory architecture. Compared with the design mentioned in [1], the original design could achieve the highest QC-LDPC decoding throughput of 533Mbps (12 SISO in parallel) when the clock frequency is 200MHz (memory clock frequency is 400MHz). The existing design saved 47% of the decoding clock cycle without lossing decoding circuit quality. We achieved a maximum QC-LDPC decoding throughput of 1984 Mbps (with 48 SISO in parallel) when the system frequency is 400MHz (memory clock frequency is also 400MHz). Further, through circuit optimization, the upper limit of the system clock is promoted from 344MHz to 1.1GHz. The throughput can possibly be upto 5456Mbps. Finally, through the logic synthesis using 28nm SMIC CMOS cell library, the design is physically verified, and the logic gate count is reported 1716K. It is similar to that of the original design per SISO. © 2022 IEEE.

关键词： Memory architecture

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