2022 International Seminar on Computer Science and Engineering Technology (SCSET)最新文献_第3页

Research on Leak Location Method of Water Supply Network based on Deep Neural Network Model 基于深度神经网络模型的供水管网泄漏定位方法研究

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00053

Xiaoxuan Wu, Chen Zhang

{"title":"Research on Leak Location Method of Water Supply Network based on Deep Neural Network Model","authors":"Xiaoxuan Wu, Chen Zhang","doi":"10.1109/scset55041.2022.00053","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00053","url":null,"abstract":"The water supply network is one of the important infrastructure in urban construction. It has strong theoretical and practical significance to realize the real-time monitoring and leak location of the water supply network. In this paper, based on the similarity of water supply network node pressure, fuzzy C-means clustering algorithm is used to realize the selection of finite monitoring points. On this basis, a depth neural network model is constructed according to the pressure changes of the monitoring points before and after the leakage of the water supply network, so as to locate the leakage points. In the experimental part, hydraulics simulation was conducted by using EPANETH pipe network adjustment software according to the layout structure of water supply network, and the pressure of all nodes was obtained. A deep neural network model was established by Keras in Tensorflow framework. After model training and testing, the training error was controlled within the effective range of 5 %. Finally, the model is applied to the actual leakage problem of underground water supply network in Langxi County of Xuancheng City, and the accurate location of the leakage point is realized. The experiment proves the feasibility and accuracy of the method proposed in this paper.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115998898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecast Research For Non-liner Rolling Motion of Damaged Warship 受损舰船非线性横摇运动预测研究

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00062

Hui Liu, Zhihui Li, X. Wu, Dong Guan

引用次数: 0

Dynamic multi-target trajectory planning of aircraft based on Gaussian pseudo-spectral method 基于高斯伪谱法的飞机动态多目标轨迹规划

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00048

Junyi Zhou, Ruiqi Sun, Weixiu Yang, Shenghai Jiao, Jiaqi Liu

引用次数: 0

Multi-beam Bathymetric measurement error analysis based on Integrated Navigation System 基于组合导航系统的多波束测深误差分析

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00049

Wangyang Zhao, X. Zhuang, Xingling Wang, Lingfeng Zhou

{"title":"Multi-beam Bathymetric measurement error analysis based on Integrated Navigation System","authors":"Wangyang Zhao, X. Zhuang, Xingling Wang, Lingfeng Zhou","doi":"10.1109/scset55041.2022.00049","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00049","url":null,"abstract":"Multi-beam depth system is developed from single-frequency depth system, which is a new technique of underwater topographic measurement with high efficiency, high precision and high resolution. Compared with the traditional single beam depth meter, multi-beam depth system has many advantages, such as large range, high speed, high precision, digital recording and image-making automation, so that underwater topographic measurement technology has developed to a new level. This paper expounds the measurement principle and composition of multi-beam depth system, as well as the data processing method, and analyzes the motion compensation method for multi-beam depth system based on combined conductivity. This paper first studies the error factors of multi-beam depth measurement system, combines the combined inertial navigation system to explore the impact of various errors on the measurement results, simulates the use of combined inertial guidance system to assist multi-beam depth measurement data to obtain high-precision high-reliability measurement data, and finally summarizes the development and application of the current multi-beam technology.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132412139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and Application of Sensor Calibration Device Based on Computer Control System 基于计算机控制系统的传感器标定装置的研制与应用

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00064

Lili Zhang, Yuan Li, Yue Jin

引用次数: 0

Analysis and Evaluation of Uncertainty of Calibration of Common Mode Impedance Modulus of Coupling/Decoupling Network Using Electrical Length Compensation Method 电长度补偿法校准耦合/解耦网络共模阻抗模量的不确定度分析与评价

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00069

Yulong Teng, Zhiqiang Zhan

{"title":"Analysis and Evaluation of Uncertainty of Calibration of Common Mode Impedance Modulus of Coupling/Decoupling Network Using Electrical Length Compensation Method","authors":"Yulong Teng, Zhiqiang Zhan","doi":"10.1109/scset55041.2022.00069","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00069","url":null,"abstract":"The process and result of the uncertainty evaluation of the precise calibration of the common mode impedance modulus of the coupling/decoupling network (abbreviated as CDN hereafter) for the immunity of conducted disturbances induced by radio-frequency fields in EMC test and measurement technique using electrical length compensation method and the impedance analyzer or the network analyzer as the calibration standard are introduced in this paper. In the beginning of this paper, the calibration method of the common mode impedance modulus of the coupling/decoupling network is presented, and the calculation formula of electric length compensation method is deduced. On the basis of the formula, the sources of the uncertainty of the calibration result of the common mode impedance modulus of the coupling/decoupling network are analyzed, and the corresponding sensitivity coefficients are calculated. At the end of this paper, the process and result of the uncertainty evaluation of the common mode impedance modulus of some model coupling/decoupling network is given.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116916993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial Intelligence Ethical in Environmental Protection 环境保护中的人工智能伦理

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00040

Hongzhen Lin, Yujia Zhang, Xianru Chen, Rui Zhai, Zixu Kuai

{"title":"Artificial Intelligence Ethical in Environmental Protection","authors":"Hongzhen Lin, Yujia Zhang, Xianru Chen, Rui Zhai, Zixu Kuai","doi":"10.1109/scset55041.2022.00040","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00040","url":null,"abstract":"With development of social economy, science and technology has got rapid development, and it becomes the inevitable choice of the trend in nowadays. Artificial intelligence is more and more penetrating into People’s life, however in artificial intelligence, bring convenience to people will bring lots of ethical questions in the meantime. And while increasing the investment in science and technology, the research on ethics and law closely related to it is relatively lagging behind. The research is to explore the ethical issues of artificial intelligence in environmental protection. This article uses the method of literature research to analyze the ethical issues of artificial intelligence in environmental protection. The ethical problems faced by artificial intelligence include the lack of subject morality, which leads to ethical conflicts in decision-making, a crisis of trust, and its hidden dangers in information security. In this regard, it is necessary to strengthen the rationality of the ethical decision-making process of enterprises in the development and application of artificial intelligence, strengthen corporate ethical leadership, and design internal privacy protection procedures to make artificial intelligence better benefit mankind.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132488384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Implementation of Marine Datasets Based on DCGAN Network 基于DCGAN网络的海洋数据集设计与实现

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00065

Jiajing Wu, Yazhen Gu, Nannan Li, Tang Huo, Jinlei Zhang

引用次数: 2

Analysis of technology hotspots in artificial intelligence field based on Patent Map 基于专利地图的人工智能领域技术热点分析

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00041

Hongzhen Liu, Yawen Tai, Hongzhen Lin, X. Du

{"title":"Analysis of technology hotspots in artificial intelligence field based on Patent Map","authors":"Hongzhen Liu, Yawen Tai, Hongzhen Lin, X. Du","doi":"10.1109/scset55041.2022.00041","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00041","url":null,"abstract":"artificial intelligence has become the driving force of leading scientific and technological progress and the new engine of promoting industrial upgrading.In this paper, the research methods of literature and patent map are used to analyze the research hotspots in the field of artificial intelligence.Through the co-occurrence analysis of technology keywords, the status of technology integration in the field of artificial intelligence is studied, and the core technology in this field is identified.Based on the patent map analysis method and the international patent classification of artificial intelligence, this paper analyzes the overall situation of patent applications in the field of artificial intelligence. It is found that big data, cloud computing, speech recognition, image recognition and human-computer interaction are hot technologies in the field of artificial intelligence.Intelligent robot, intelligent medical, intelligent education and other aspects are the future development trend of the industry.This study can provide reference for related enterprises to carry out artificial intelligence technology research and development and forward-looking layout.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129055746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Distributed Radar Network RF Injection Simulation 分布式雷达网络射频注入仿真研究

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00046

Bin Ren, Jiaqi Liu, Donglin Su, Guoyu Wang, Yuanyuan Zhu, B. Rao

引用次数: 0