摘要：
In order to get the best mix proportion of recycled concrete with super plasticizer, an experimental research method of mix proportion of recycled concrete with super plasticizer is designed. The whole experimental scheme and steps are described in detail. By adding a kind of additive, i.e. super plasticizer, into recycled concrete of different strength grades (prepared with waste concrete and mixed with part of natural concrete), and testing the performance of recycled concrete in laboratory, the best mix proportion of recycled concrete with super plasticizer is obtained, which lays a foundation for realizing the best parameters of high performance of recycled concrete.
摘要：
In this paper, a regression analysis method of compressive strength curve of recycled concrete is proposed. Firstly, the compressive strength of recycled aggregate concrete at different ages is measured through laboratory tests. Then, based on the regression analysis method, the cubic function is used to simulate and analyze the compressive strength change of recycled aggregate concrete, and the age and comprehensive strength development law of recycled aggregate concrete are obtained.
期刊：
ACM International Conference Proceeding Series,2021年:136-140
作者机构：
[Yuan YueYang; Liu YuZheng] The School of electromechanical engineering, Hunan City University, China;[He Chao] Hunan Micomme Medical Technology Development Company Limited, China;[Yuan HongYi] Bangor College, Central South University of Forestry and Technology, China
会议论文集名称：
ICDTE '21: Proceedings of the 5th International Conference on Digital Technology in Education
作者：
Tao Chen;Xinjian Li;Zhemeng Zhang;Tongguang Yang;Shengtao He;...
期刊：
E3S Web of Conferences,2021年256:02035 ISSN：2555-0403
通讯作者：
Chen, T.
作者机构：
[Liao J.; He S.; Zhang Z.; Shao X.; Chen T.] College of Electrical and Information Engineering, Hunan University, Changsha, Hunan Province, 410082, China;[Li X.] Yiyang Power Supply Company, State Grid Hunan Electric Power Company, Yiyang, Hunan Province, 413000, China;[Yang T.] College of Machinery and Electrical Engineering, Hunan City University, Yiyang, Hunan Province, 413049, China
通讯机构：
[Chen, T.] C;College of Electrical and Information Engineering, China
会议名称：
2021 International Conference on Power System and Energy Internet, PoSEI 2021
期刊：
E3S Web of Conferences,2021年251:02018-null ISSN：2555-0403
通讯作者：
Song, Y.
作者机构：
[He H.; Song Y.] Business School, Central South University, No.932 Lushan South Road, Changsha, China;[Cao B.] College of Information and Electronic Engineering, Hunan City University, No.518 Yingbin East Road, Yiyang, China
通讯机构：
[Song, Y.] B;Business School, No.932 Lushan South Road, China
会议名称：
2021 International Conference on Tourism, Economy and Environmental Sustainability, TEES 2021
期刊：
E3S Web of Conferences,2021年269:01010-null ISSN：2555-0403
通讯作者：
Yu, S.
作者机构：
[Ou Y.; Zhang L.; Zhang X.] Hunan Provincial Key Lab of Dark Tea and Jin-Hua, Hunan City University, Hunan, Yiyang, 413000, China;School of Materials and Chemical Engineering, Hunan City University, Hunan, Yiyang, 413000, China;[Yu S.] Hunan Provincial Key Lab of Dark Tea and Jin-Hua, Hunan City University, Hunan, Yiyang, 413000, China, School of Materials and Chemical Engineering, Hunan City University, Hunan, Yiyang, 413000, China
通讯机构：
[Yu, S.] H;Hunan Provincial Key Lab of Dark Tea and Jin-Hua, Hunan, China
会议名称：
2021 International Conference on Environmental Engineering, Agricultural Pollution and Hydraulical Studies, EEAPHS 2021
作者机构：
[Hu Z.] School of Material and Chemical Engineering, Hunan City University, Yiyang, 413000, China;[Zhai W.; Liang C.; Yang G.] Country College of Forestry, Northwest A & F University, Yangling, 712100, China;[Zhao Y.] Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Central South University of Forestry and Technology, Changsha, 410004, China;[Zhou M.] Engineering Research Center for Internet of Animals, Changsha, 410000, China;[Xu Z.] School of Material and Chemical Engineering, Hunan City University, Yiyang, 413000, China<&wdkj&>Country College of Forestry, Northwest A & F University, Yangling, 712100, China<&wdkj&>Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security for Hunan Province, Central South University of Forestry and Technology, Changsha, 410004, China<&wdkj&>Engineering Research Center for Internet of Animals, Changsha, 410000, China
会议名称：
7th International Conference on Artificial Intelligence and Security, ICAIS 2021
会议时间：
19 July 2021 through 23 July 2021
关键词：
Animals;Artificial intelligence;Big data;Conversion efficiency;Information management;Internet of things;Lithium batteries;Maximum power point trackers;Solar power generation;Communication modules;Energy optimization;Maximum Power Point Tracking;Natural environments;Position information;Positioning accuracy;Scientific researches;Utilization efficiency;Solar energy
期刊：
IOP Conference Series: Earth and Environmental Science,2021年781(2):022049 ISSN：1755-1307
作者机构：
[Jianhua Li; Chungang Li] Guangzhou City Construction College, Guangzhou, China;Hunan Eng. Res. Ctr. of Struct. Safety and Disaster Prevention for Urban Underground Infrastructure, 2b. School of Civil Engineering, Hunan City University, Yiyang, China;Guangzhou Conghua District Municipal Road Construction and Maintenance Center, Guangzhou, China;[Da Hu] Hunan Engineering Research Center of Structural Safety and Disaster Prevention for Urban Underground Infrastructure;[Da Hu] 2b. School of Civil Engineering, Hunan City University, Yiyang, China
会议名称：
5th International Symposium on Resource Exploration and Environmental Science, REES 2021
会议时间：
24 April 2021 through 25 April 2021
关键词：
Geology;Combined supports;Construction safety;Design and construction;Engineering geological characteristics;Monitoring analysis;Parameter designs;Real time monitoring;Slope reinforcement;Slope protection
作者机构：
[Tongguang Yang] College of Machinery and Electrical Engineering, Hunan City University, Yiyang, Hunan Province, China;[Zhemeng Zhang; Wanxin Ren] College of Electrical and Information Engineering, Hunan University, Changsha, Hunan Province, China;[Hao Yu; Yong Lin] Grid Planning & Research Center, Guangdong Power Grid Corporation of CSC, Guangzhou, China
会议名称：
2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)
会议时间：
15 October 2021
会议地点：
Xi'an, China
会议论文集名称：
2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)
摘要：
To improve the accuracy and precision of the offshore direct-drive wind farm (PMSG) equivalence model, this paper proposes a dynamic equivalence method for offshore PMSG wind farms based on the improved R-K clustering algorithm. The method selects suitable cluster indicators, clusters the indicator data using the improved R- K clustering algorithm, and then equates the offshore PMSG wind farms to multiple wind turbines based on the capacity-weighting method to achieve dynamic equivalence of PMSG wind farms. Finally, to verify the accuracy of the model, a dynamic equivalence model was built on the PSCAD/EMTDC simulation platform and analyzed in comparison with the single machine equivalence model and the detailed model. The simulation results show that the model is in good agreement with the detailed model, and it can reflect the dynamic response characteristics of the PMSG wind farm at the grid connection point accurately.
作者机构：
[Wen Y.; Feng C.; Zhou Q.] Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, China;[Xue Y.] School of Municipal and Surveying Engineering, Hunan City University, Yiyang, China
会议名称：
27th International Conference on Neural Information Processing, ICONIP 2020
作者机构：
[Weimei Zhang; Zhuqi Wei] Hunan City University, Yiyang, Hunan, China
会议名称：
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA)
会议时间：
October 2020
会议地点：
Xi'an, China
会议论文集名称：
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA)
关键词：
City;Eco-innovation efficiency;Super-efficiency DEA
摘要：
To improve the urban eco-innovation efficiency is of great significance to realize the sustainable development of the city. Considering the impacts of scientific & technological innovation and environment protection on urban development, this paper introduces science & technology and ecology to the indicator system to evaluate urban eco-innovation. Based on the panel data of 16 national innovation-oriented pilot cities in China between 2006 and 2015, the urban eco-innovation efficiency was be measured by the super-efficiency DEA and its influencing factors were analyzed using the Tobit model. The results show that the eco-innovation efficiency of most cities is fluctuating, generally in an upward trend, but the eco-innovation development of these cities is not balanced. The eco-innovation efficiency of cities in the central and western regions grows faster though there is still a gap with the eastern coastal cities. Excessive emissions and irrational labor input are the dominant factors to restrict the increase of urban eco-innovation efficiency.
作者机构：
[Liu C.; Wen Y.] Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, China;[Xue Y.] School of Municipal and Surveying Engineering, Hunan City University, Yiyang, China
会议名称：
27th International Conference on Neural Information Processing, ICONIP 2020
作者机构：
[Liu Gang] Management School, Hunan City University, Yiyang, China
会议名称：
2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
会议时间：
January 2020
会议地点：
Vientiane, Laos
会议论文集名称：
2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
关键词：
Principal component analysis;Yiyang smart city construction;level measurement;Development strategy Introduct-tion
摘要：
In order to improve the construction level of Yi yang smart city, by combing the previous evaluation indicators of smart city construction and the comprehensive comparison of relevant cities, five firstclass evaluation indicators, i.e. information infrastructure, unified support platform, people's livelihood service, industrial support and urban management are selected, and the principal component analysis method is used to find out the key factors affecting the construction of Yiyang smart city By improving the construction awareness of smart city, strengthening the top-level designandsystem planning, focusing on the collection and sharing of information resources, and strengthening the active participation of all sectors of society and citizens in the smart city construction path.
摘要：
In order to obtain the best travel route, a method of selecting the best travel route based on genetic tabu search algorithm is proposed. Based on the principle of searching for characteristic attributes of travel intentions, construct a model for extracting characteristics of travel users' interest, using K-neighborhood classification method to perform collaborative filtering on users, and dig out neighborhood user groups that meet current user preferences based on the preference of all users, and use K- The neighborhood historical preference information recommends current users, and selects the best travel route based on the travel route filtering principle. The experimental results show that the method generates a large number of user-selected paths, and its test results in terms of accuracy, recall, coverage, popularity and recommendation efficiency are all high, which better meets the personalized needs of tourists, Enabling tourists to obtain the greatest tourism benefits.
作者机构：
[Lianguang Mo] Hunan City University, Yiyang, China
会议名称：
2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
会议时间：
January 2020
会议地点：
Vientiane, Laos
会议论文集名称：
2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
关键词：
consumption;fiscal and taxation policies;production efficiency;taxation
摘要：
Under the influence of slowing economic growth and other factors, the growth rate of China's household consumption has been declining. Fiscal and taxation policies are an important means of regulating residents 'income. Levying more taxes and fees on links with lower production efficiency will increase residents' actual income and have a positive impact on the consumer market. How to judge the level of production efficiency has long been the subject of controversy in the economic field. Based on the data of all 30 provinces, this article uses the return on investment as the main basis for judging production efficiency. Based on the analysis of consumer demand, this paper proposes specific ways to optimize fiscal and taxation policies. Measures such as reducing the tax of small and medium-sized enterprises and increasing the threshold for individual taxes should be adopted to increase the actual income of residents, which will help promote the growth of residents' consumption
