2020 International Conference on Communications, Information System and Computer Engineering (CISCE)最新文献

Mutual Transformation between Vertical Sediment Amount and Vertical Diluted Amount 垂直泥沙量与垂直稀释量的相互转化

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00089

Dongfang Yang, Danfeng Yang, Dong Yang, D. Jing, Haixia Li

{"title":"Mutual Transformation between Vertical Sediment Amount and Vertical Diluted Amount","authors":"Dongfang Yang, Danfeng Yang, Dong Yang, D. Jing, Haixia Li","doi":"10.1109/CISCE50729.2020.00089","DOIUrl":"https://doi.org/10.1109/CISCE50729.2020.00089","url":null,"abstract":"Based on the investigation data of Hg in Jiaozhou Bay in May, August and October of 1992, the horizontal loss amount, vertical diluted amount and vertical sediment amount of Hg in both surface and bottom layers were calculated and the block diagram model of Hg level and vertical change was determined by using change model of horizontal and vertical substance content that proposed by the author. The results showed that in May, August and October, the absolutely horizontal loss amount of Hg in the surface layer and bottom layer ranged from 0.004 to 0.029 μg/L, and the horizontally relative loss amount of Hg in the surface layer and bottom layer ranged from 16.00 to 72.50%. The Hg content in both the surface and bottom layer had an absolutely vertical diluted amount of 0.000-0.033 μg/L and a relatively vertical diluted amount of 0.00-82.50%. The absolutely vertical sediment amount of Hg in both the surface and bottom layer were 0.002-0.007 μg/L, and the relatively vertical sediment amount was 15.38-38.88%.The variation of horizontal loss amount revealed that in May, August and October, in the southeast of the bay or in the center of the Bay, whether the Hg content is provided by sources or not will result in relatively high horizontal loss amount of the surface layer. In May and August, there was no source of Hg in the center of the bay. No matter in the southeast of the Bay, the loss of Hg in the bottom layer was relatively low. In October, in the southeast of the bay or in the center of the Bay, there was no source of Hg content, but the loss of Hg content in the bottom layer was relatively high. The change of vertical loss amounts revealed that: in different waters, with the change of time, the vertical sediment amounts and vertical diluted amounts of Hg content in surface and bottom layer were mutually transformed.","PeriodicalId":101777,"journal":{"name":"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127341112","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: 1

Multi-energy Flow Regulation and Operation Method of Distribution Network Based on Smart City Energy Internet 基于智慧城市能源互联网的配电网多能流调节及运行方法

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00046

Cuizhe Kuang, Qun Wang, J. Wan, Guoxin Li, Baoqiang Lv

{"title":"Multi-energy Flow Regulation and Operation Method of Distribution Network Based on Smart City Energy Internet","authors":"Cuizhe Kuang, Qun Wang, J. Wan, Guoxin Li, Baoqiang Lv","doi":"10.1109/CISCE50729.2020.00046","DOIUrl":"https://doi.org/10.1109/CISCE50729.2020.00046","url":null,"abstract":"Environmental pollution and climate deterioration caused by large-scale use of chemical energy are becoming more and more serious. The development of new technologies and new ideas such as energy Internet will change the physical architecture and information interaction mode of the power system, bringing new challenges to the operation of the power system. Driven by Internet technology, the energy Internet has become an inevitable trend of the development of traditional energy systems. In this paper, a set of multi-energy flow regulation and operation optimization model for the energy Internet is established. Combined with practical cases, the proposed model is dynamically simulated, and the multi-energy complementary strategies for the power side and the user side are discussed respectively. The study finds that, with the acceleration of industrialization, the rapid expansion of power grid scale, the increasing number of new lines, reconstruction and expansion, in order to ensure the security and reliability of power supply, the energy Internet multi-function complementary integration optimization is the inevitable choice for power grid system to improve efficiency and security.","PeriodicalId":101777,"journal":{"name":"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114901541","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 of Postoperative Visual Acuity Prediction Program Based on Machine Learning before Cataract Surgery 基于机器学习的白内障术前视力预测程序设计

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00069

L. Shuxian

引用次数: 0

Learning Spread Probability Based on User’s Influence and Flavour 基于用户影响力和口味的学习传播概率

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/cisce50729.2020.00068

Chen Zhaorui, Wang Xiaomeng

引用次数: 0

Modeling Regional Interdependence in Business Data Based on Machine Learning Method 基于机器学习方法的商业数据区域相互依存建模

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00104

Yuhe Zhu

引用次数: 0

Evaluating the Effectiveness of COVID-19 Prevention and Control Measures Based on SEIR Model 基于SEIR模型的新冠肺炎防控措施效果评价

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00035

Yuanhao Wang

引用次数: 2

Environment Monitoring System for Tobacco Storage Based on IOT and Neural Network 基于物联网和神经网络的烟草仓储环境监测系统

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00064

Dagui Chen, Donghai Liu

引用次数: 1

A Path Planning Algorithm of Spray Robot based on 3D Point Cloud 基于三维点云的喷雾机器人路径规划算法

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00078

Jubo Yang, M. Kong, Rundong Wang

引用次数: 2

Research on Modulation Recognition of OFDM Signal Based on Hierarchical Iterative Support Vector Machine 基于层次迭代支持向量机的OFDM信号调制识别研究

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/cisce50729.2020.00014

Liu Gaohui, Cao Jiakun

{"title":"Research on Modulation Recognition of OFDM Signal Based on Hierarchical Iterative Support Vector Machine","authors":"Liu Gaohui, Cao Jiakun","doi":"10.1109/cisce50729.2020.00014","DOIUrl":"https://doi.org/10.1109/cisce50729.2020.00014","url":null,"abstract":"Aiming at the problem that the modulation category of Orthogonal Frequency Division Multiplexing (OFDM) signal can’t be identified from the single-carrier signals and the Wavelet Packet Modulation (WPM) signals under the condition of low signal to noise ratio (SNR), a method of identifying OFDM signal based on hierarchical iterative support vector machine (SVM) is proposed. Firstly, based on the analysis of the high-order cumulant and double spectral envelope peak characteristics of wireless communication signals, three sets of two-dimensional feature vectors are constructed as input sample data of three-layer classifier. Secondly, a three-layer support vector machine classifier based on radial basis kernel function is designed. Thirdly, the hierarchical iterative method is used to train the classifier parameters, in which each layer is firstly trained and then the trained three-layer classifier is further trained by the overall iterative training to further optimize the parameters of the classifier. Finally, the classifier training process and OFDM signal recognition process are simulated and analyzed. The simulation results show that the proposed method can effectively identify OFDM signals and the recognition accuracy is significantly improved at low SNR compared with the traditional methods.","PeriodicalId":101777,"journal":{"name":"2020 International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121306899","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: 6

Design of bar code automatic identification system based on mobile terminal 基于移动终端的条码自动识别系统设计

2020 International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2020-07-01 DOI: 10.1109/CISCE50729.2020.00088

Luo Jing

引用次数: 2