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Computer Network Routing Algorithm Based on Genetic Algorithm 基于遗传算法的计算机网络路由算法
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934294
Jie Ju
A computer network is a network of self-organized wireless nodes or terminals that cooperate with each other, which is independent of fixed infrastructure and adopts distributed management. Since there are no fixed base stations and central nodes in the network, the wireless channel is highly time-varying, and the network topology is unstable. Therefore, the traditional network routing algorithm can meet the requirements of network service quality in the current era, and it is necessary to design a computer network with strong adaptability. This paper studies the computer network routing algorithm based on genetic algorithm, proposes a new computer network routing algorithm based on the genetic algorithm, and validates it by simulation experiments. The experimental results show that the optimized algorithm is better than the standard the algorithm has better latency, and the latency is roughly between 10-20s.
计算机网络是一种不依赖于固定的基础设施,采用分布式管理方式,由自组织的无线节点或终端相互协作组成的网络。由于网络中没有固定基站和中心节点,无线信道时变较大,网络拓扑结构不稳定。因此,传统的网络路由算法已经不能满足当前时代对网络服务质量的要求,有必要设计一种适应性强的计算机网络。研究了基于遗传算法的计算机网络路由算法,提出了一种新的基于遗传算法的计算机网络路由算法,并通过仿真实验对其进行了验证。实验结果表明,优化后的算法优于标准算法,具有更好的延迟,延迟大致在10-20s之间。
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引用次数: 0
An Examination for Impression Word Extraction of Clothing 服装印象词提取的检验
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934402
Shodai Ito, Noboru Takagi, H. Masuta, T. Motoyoshi, K. Sawai
A questionnaire survey on clothing for the visually impaired people revealed that many women in particular have a strong desire to enjoy fashion on their own. Visually impaired can not purchase clothing without the assistance of the sighted. Based on this background, there are several studies on clothing selection support for the visually impaired, and some of them have been commercialized. However, there are only a few studies that support the visually impaired people’s clothing selection by recognizing clothing impression (casual, formal, etc.). Therefore, we design a feature extraction model by deep learning using DeepFashion, a clothing dataset, and investigate a method to extract impression words from clothing images.
一项针对视障人士服装的问卷调查显示,许多女性尤其强烈希望自己享受时尚。如果没有明眼人的帮助,视障人士无法购买衣服。在此背景下,针对视障人士的服装选择支持进行了一些研究,其中一些已经商业化。然而,只有少数研究通过识别服装印象(休闲、正式等)来支持视障人士的服装选择。因此,我们利用服装数据集DeepFashion设计了深度学习的特征提取模型,并研究了一种从服装图像中提取印象词的方法。
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引用次数: 0
Construction of Big Data Ming System Based on Artificial Intelligence 基于人工智能的大数据挖掘系统构建
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934418
Zilong Xu, Yong Zhu
Data is the foundation and source of wisdom for people to understand the real world through the world of information. Massive data is the foundation of computer networks, and people's lives are closely related to it. But with the increasing amount of data, people are also about to face the danger of data collapse and disorder. Therefore, it is very necessary to optimize the BDM system. This article is based on artificial intelligence technology to improve the big DM system. First, the characteristics of big data(BD) and the concept of DM are explained; then, on the basis of traditional DM technology, artificial intelligence technology is studied to improve and optimize the BDM system. Finally, the performance of the improved BDM system is tested and compared with the traditional technology. The test results show that the improved BDM system improves the efficiency of data classification.
数据是人们通过信息世界认识现实世界的基础和智慧来源。海量数据是计算机网络的基础,与人们的生活息息相关。但随着数据量的不断增加,人们也即将面临数据崩溃和无序的危险。因此,对BDM系统进行优化是十分必要的。本文是基于人工智能技术对大DM系统进行改进。首先,阐述了大数据的特点和数据管理的概念;然后,在传统DM技术的基础上,研究人工智能技术对BDM系统进行改进和优化。最后,对改进后的BDM系统进行了性能测试,并与传统技术进行了比较。实验结果表明,改进后的BDM系统提高了数据分类的效率。
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引用次数: 0
An Analysis of Influential Factors of Information Dissemination among Network Circle Groups and a Study on Countermeasures 网络圈子群体信息传播影响因素分析及对策研究
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934253
Qingze Yang, Jing Jiang
Development of network circle groups is not merely confined to technical sphere. Instead, its development has changed the structure of the entire social formation and individual existence and development mode, which is manifesting, day by day, a kind of cultural attribute. The social interaction "self-organization" manifested by network circle group has been digitalized; the topics of the content have been diversified and peripherized; and the social mobilization has been strengthened. Especially, more focus should be put on such significant themes as leading mechanism of the public opinions of emergencies. Several parties should get involved in forming a community of public opinion governance for network circle groups to enhance the efficacy of public opinion governance for network circle groups.
网络圈群的发展并不仅仅局限于技术领域。相反,它的发展改变了整个社会形态的结构和个人的生存发展方式,日益表现出一种文化属性。以网络圈群为代表的社会互动“自组织”被数字化;内容主题多元化、边缘化;社会动员得到加强。特别是对突发事件舆情引导机制等重大课题应给予更多的关注。多方参与形成网络圈子群体舆情治理共同体,提升网络圈子群体舆情治理效能。
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引用次数: 0
Analysis and application of interface design elements for mobile platform 移动平台界面设计要素分析与应用
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934497
Yu Shuxiang, Bao Aijun
Now we have entered an information age. Mobile Internet has brought infinite convenience to people’s life. With the development of mobile products becoming the necessity of the development of the times, the requirements for mobile interface visual design are becoming higher and higher. This paper expounds the background of mobile interface design, mobile platform, basic concepts and design ideas of mobile interface design, and analyzes the relationship between the three. Combined with specific mobile interface design cases, this paper uses the idea of human-computer interaction and Gestalt theory to optimize mobile interface design, and focuses on the visual application of design elements in mobile interface design, so as to improve the user experience of mobile products and further meet the needs of users.
现在我们已经进入了信息时代。移动互联网给人们的生活带来了无限的便利。随着移动产品的发展成为时代发展的必然,对移动界面视觉设计的要求也越来越高。本文阐述了移动界面设计的背景、移动平台、移动界面设计的基本概念和设计思路,并分析了三者之间的关系。本文结合具体的移动界面设计案例,运用人机交互的思想和格式塔理论对移动界面设计进行优化,重点关注设计元素在移动界面设计中的视觉应用,从而提升移动产品的用户体验,进一步满足用户的需求。
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引用次数: 0
Design of Online Education Big Data Platform Based on Data Mining and Data Collection Technology 基于数据挖掘与数据采集技术的在线教育大数据平台设计
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934187
Xueyun Zhou, Yongjun Qi, Hailing Tang, Shukun Zhang
With the continuous development of modern information technology, my country has gradually entered the era of big data. The salient features of the big data era are rich data resources, convenient data processing and information exchange, and smoother learning and communication between people. The impact of big data on education is also very significant. This paper studies the online education big data platform based on data mining and data collection technology, uses data mining technology and data collection technology to design the online education big data platform, and tests the designed platform. The test results show that this paper improves the algorithm the accuracy of clustering analysis is good, and the number of errors is controlled within 5, and then the query time of the platform is tested. The time for the platform from data query to acceptance is within 30 minutes, which meets the requirements of platform design.
随着现代信息技术的不断发展,我国逐渐进入了大数据时代。大数据时代的显著特征是数据资源丰富,数据处理和信息交换方便,人与人之间的学习和交流更加顺畅。大数据对教育的影响也是非常显著的。本文研究了基于数据挖掘和数据采集技术的在线教育大数据平台,利用数据挖掘技术和数据采集技术对在线教育大数据平台进行了设计,并对设计的平台进行了测试。测试结果表明,本文改进的算法聚类分析准确率较好,误差数控制在5个以内,并对平台的查询时间进行了测试。平台从数据查询到验收时间在30分钟内,满足平台设计要求。
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引用次数: 0
Application of Intelligent Analysis Technology in the Design of Substation Condition Monitoring System 智能分析技术在变电站状态监测系统设计中的应用
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934236
Ninghui He, Pei Ding, Weiyan Sha, Xiuguang Li, Wen Li, Penggang Li
In recent years, with the improvement of living standards, people's demand for electricity has gradually increased. With the rapid development of substation informatization and digitalization, intelligent analysis technology can conduct real-time status assessment of substation equipment and improve the efficiency of fault handling in smart substations. The purpose of this paper is to study the research and application of intelligent analysis technology in the design of substation condition monitoring system. This paper analyzes the requirements of the substation condition monitoring system based on intelligent analysis technology, and describes the application architecture of the system and the total volume architecture of the software in detail. This article tests the designed system, and the experimental results show that the system CPU utilization rate is maintained at 50%~60%, and the memory utilization rate is maintained at about 61%~64%. It can be seen that the various components of the system can coordinate and operate stably, and the resource utilization rate fluctuates little, indicating the feasibility of the system architecture.
近年来,随着生活水平的提高,人们对电力的需求逐渐增加。随着变电站信息化、数字化的快速发展,智能分析技术可以对变电站设备进行实时状态评估,提高智能变电站的故障处理效率。本文的目的是研究智能分析技术在变电站状态监测系统设计中的研究与应用。本文分析了基于智能分析技术的变电站状态监测系统的需求,详细描述了系统的应用体系结构和软件的总体结构。本文对所设计的系统进行了测试,实验结果表明,系统CPU利用率保持在50%~60%,内存利用率保持在61%~64%左右。可以看出,系统各组成部分能够协调、稳定运行,资源利用率波动较小,说明了系统架构的可行性。
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引用次数: 0
Research on music information retrieval algorithm based on deep learning 基于深度学习的音乐信息检索算法研究
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934127
X. Yuan
With the exponential growth of various network resources, the use of search engine has become one of the most basic skills of everyone in today's society, and an efficient information retrieval model is also of more significance. The traditional text-based music information retrieval method can retrieve music data by inputting text information such as song name, composer, singer and album name. The content-based music information retrieval queries the target music through the input music melody information. In the actual music information retrieval scene, there is interaction between the user and the retrieval model. The user gives feedback on the retrieval results, and the retrieval model returns a new page of document according to this feedback. The existing ranking learning model regards ranking as a one-time process, ignores user feedback, and the ranking effect needs to be improved. With the increasing demand for digital music information and the continuous expansion of application fields based on massive music data sets, content-based music information retrieval method is attracting more and more researchers' attention.
随着各种网络资源的指数级增长,搜索引擎的使用已经成为当今社会每个人最基本的技能之一,一个高效的信息检索模型也就显得更为重要。传统的基于文本的音乐信息检索方法是通过输入歌曲名称、作曲家、歌手、专辑名称等文本信息来检索音乐数据。基于内容的音乐信息检索通过输入的音乐旋律信息查询目标音乐。在实际的音乐信息检索场景中,用户与检索模型之间存在交互。用户对检索结果给出反馈,检索模型根据该反馈返回一个新的文档页面。现有的排名学习模型将排名视为一次性过程,忽略用户反馈,排名效果有待提高。随着人们对数字音乐信息需求的不断增加以及基于海量音乐数据集的应用领域的不断拓展,基于内容的音乐信息检索方法受到越来越多研究者的关注。
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引用次数: 1
Research and analysis of intelligent accounting algorithm under the background of big data 大数据背景下的智能会计算法研究与分析
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934126
Chao Li, Yong Li
The research on big data intelligent accounting algorithm is the research on the algorithm of processing a large amount of data. It is observed that the amount of data being generated is growing exponentially and will continue to grow exponentially in the coming years. The main goal of this research work is to develop a computer program that can process such a huge amount of information without any human intervention or supervision. This will help reduce costs and improve efficiency by eliminating human and errors in the system. The main advantage of using big data intelligent accounting algorithm is that it helps reduce costs by automating tasks Taking big data as the background and from the perspective of big accounting, this paper believes that accounting is an artificial system, and the essence of accounting is to take the form of behavioral value of economic activities as the main object. Due to the influence of social environment changes, accounting is facing practical, theoretical and technical challenges.
大数据智能会计算法的研究就是对处理大量数据的算法的研究。据观察,产生的数据量呈指数级增长,并将在未来几年继续呈指数级增长。这项研究工作的主要目标是开发一种计算机程序,可以在没有任何人为干预或监督的情况下处理如此大量的信息。这将有助于通过消除系统中的人为和错误来降低成本并提高效率。采用大数据智能会计算法的主要优势在于通过自动化任务来帮助降低成本。本文以大数据为背景,从大会计的角度出发,认为会计是一种人工系统,会计的本质是以经济活动的行为价值形式为主要对象。由于社会环境变化的影响,会计面临着实践、理论和技术上的挑战。
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引用次数: 0
Analysis of Industrial Structure Evolution and Economic Growth Based on VAR Model under Big Data Technology 大数据技术下基于VAR模型的产业结构演化与经济增长分析
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934743
Yipei Cao
This article takes the application of big data technology development in the information age as an entry point, analyzes the influence of industrial structure configuration on Chengdu's economic development, rationally adjusts Chengdu's industrial configuration, comprehensively improving the speed of Chengdu's economic development. Taking Chengdu, the capital city of Sichuan Province as an example, using relevant data from 1997 to 2018, VAR model, Granger causality test, etc. are used to conduct empirical research on the inner relationship between Chengdu's primary, secondary, and tertiary industries and economic growth.
本文以信息时代大数据技术发展的应用为切入点,分析产业结构配置对成都经济发展的影响,合理调整成都产业配置,全面提升成都经济发展速度。以四川省会成都市为例,利用1997 - 2018年的相关数据,运用VAR模型、格兰杰因果检验等方法对成都市一、二、三产业与经济增长的内在关系进行实证研究。
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引用次数: 0
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2022 World Automation Congress (WAC)
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