Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference最新文献_第3页

Analyzing Spatial-Temporal Patterns of House Price Based on Network Big Data in the Main City Zone of Kunming 基于网络大数据的昆明主城区房价时空格局分析

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407706

Zhengxian Zhao, Quanli Xu, Shuangyun Peng, L. Hong

{"title":"Analyzing Spatial-Temporal Patterns of House Price Based on Network Big Data in the Main City Zone of Kunming","authors":"Zhengxian Zhao, Quanli Xu, Shuangyun Peng, L. Hong","doi":"10.1145/3407703.3407706","DOIUrl":"https://doi.org/10.1145/3407703.3407706","url":null,"abstract":"With the rapid development of information technologies such as the Internet, the Internet of Things and cloud computing, network big data is widely used in various fields of society, and making good use of network big data is great significance to the sustainable development of cities. Based on the network big data as the data source, this paper analyzes the spatial distribution and spatial-temporal pattern of house prices in the main city zone of Kunming through the Getis-Ord Gi* index and Kriging method, and quantifies the spatial-temporal changes of house prices through statistical analysis and spatial overlay analysis. The result shows that in hot and cold spot analysis, hot spot (high house price agglomeration area) is surrounded by cold spot (low house price agglomeration area), and Chenggong District is the cold spot dominant area. The house price in the main city zone of Kunming forms two high-value areas in the spatial distribution, and presents a pile-shaped ring structure with a central high price and low price in circumference. During the study period, the overall house price fluctuations were small, showing a pattern of north high and south low. The results of statistical analysis and spatial overlay analysis show that there is a significant difference in house prices among various administrative districts. The high-value clusters and low-value clusters in house prices are randomly distributed in various administrative regions. The price changes in Chenggong District are the most significant, and Panlong District has the smallest change.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130017987","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

Real Time Rendering Technology of Ocean Data Based on Improved LOD Model 基于改进LOD模型的海洋数据实时渲染技术

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407717

Ke Xu, X. Xie

引用次数: 2

Game Model on Changes in China's Informal Financial Supervision System 中国非正式金融监管制度变迁的博弈模型

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407721

Hao Lulu, Song Yiru

引用次数: 0

Empirical Research on Influencing Factors of Chilled Meat Consumer Satisfaction Under E-commerce Model 电子商务模式下冰鲜肉消费者满意度影响因素的实证研究

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407723

Ying Zhan, Xuehang Yu

引用次数: 0

Temporal and Spatial Evolution of NDVI and Its Response Analysis with Climate and DEM Based on Landsat image: Taking Kunming as an example in 2010-2018 基于Landsat影像的NDVI时空演变及气候和DEM响应分析——以昆明2010-2018年为例

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407729

Xin-ke Zhong, Quanli Xu

{"title":"Temporal and Spatial Evolution of NDVI and Its Response Analysis with Climate and DEM Based on Landsat image: Taking Kunming as an example in 2010-2018","authors":"Xin-ke Zhong, Quanli Xu","doi":"10.1145/3407703.3407729","DOIUrl":"https://doi.org/10.1145/3407703.3407729","url":null,"abstract":"To explore temporal and spatial evolution of NDVI and its response relation with Climate in Kunming, Yunnan Province, it is is of great significance to the ecological environmental protection and ecological safety construction. Based on the Landsat data of Kunming City from 2010 to 2018 and the meteorological data of Kunming City during the same period, this paper uses the method of pixel dichotomy, correlation analysis and other methods to analyze the temporal and spatial evolution of vegetation coverage and its response to climate change in the past 9 years. The results show that: (1) From 2010 to 2018, Kunming's average annual NDVI showed an upward trend, with an increase of 0.017/year. In 2018, the area covered by high vegetation was as high as 54%, and the ecological environment of Kunming City was significantly improved. (2) The change of NDVI in Kunming is insignificantly positively correlated with annual precipitation and insignificantly negatively correlated with annual average temperature, but has a higher correlation with annual average temperature and is more sensitive to temperature factors. (3) The correlation between NDVI change and elevation differentiation is significant within the elevation zone of 619 ~ 2642m in Kunming city, NDVI increases with the increase of elevation.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115641304","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

Aspect Level Sentiment Classification with Section Interactive Attention Neural Networks 基于分段交互注意神经网络的面向层次情感分类

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407710

Z. Cui, Zhou Maojie

{"title":"Aspect Level Sentiment Classification with Section Interactive Attention Neural Networks","authors":"Z. Cui, Zhou Maojie","doi":"10.1145/3407703.3407710","DOIUrl":"https://doi.org/10.1145/3407703.3407710","url":null,"abstract":"The aim of aspect-level affective classification is to identify the affective polarity of a certain aspect of a text. Most of the attention mechanisms only focus on the distribution of attention in the context of the target words, which lacks the analysis of the target. Based on human reading habits, this paper divides the text into three parts: the target word, the left text and the right text, and calculates the interaction between the target and the left text and the right text. The global attention distribution is introduced to obtain the key distribution of the paper. At last, the global part of the interactive attention is integrated to get the distribution of attention. This paper proposes a more detailed and comprehensive mechanism of mind distribution than the previous analysis of attention mechanism. Three open data sets were used to carry out experiments on the algorithm proposed in this paper. The experimental results showed that the three data sets were improved to different degrees. Compared with IAN algorithm, the classification accuracy of the algorithm in this paper increased by 2.69% on average, indicating that the algorithm in this paper is effective.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129590269","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

Research on Cloud Resource Optimization Based on Tabu Search and Improved Wolf Pack Algorithm 基于禁忌搜索和改进狼群算法的云资源优化研究

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407718

Junwu Zhou, X. Xie

引用次数: 0

Feasibility Study on the Connectivity between College Volunteer Service and Traditional Cultural Education in Primary and Secondary schools 高校志愿服务与中小学传统文化教育衔接的可行性研究

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407707

Gao Jing, Chenwen Xuanzi, Cao Yong

引用次数: 0

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference 2020年人工智能与复杂系统会议论文集

Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 1900-01-01 DOI: 10.1145/3407703

引用次数: 0