Proceedings of the 2nd International Conference on Intelligent Information Processing最新文献_第2页

Analysis of Surface Information Extraction of Erhai Lake Basin in Dali City Based on Remote Sensing Technology, 2005 - 2017 基于遥感技术的大理市洱海流域2005 - 2017年地表信息提取分析

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144819

Quanli Xu, Chao Guo, Wen Dong

{"title":"Analysis of Surface Information Extraction of Erhai Lake Basin in Dali City Based on Remote Sensing Technology, 2005 - 2017","authors":"Quanli Xu, Chao Guo, Wen Dong","doi":"10.1145/3144789.3144819","DOIUrl":"https://doi.org/10.1145/3144789.3144819","url":null,"abstract":"In order to explore the spatial pattern and characteristics of surface information in Erhai Lake basin in Dali city, by using the Landsat 5 and Landsat 8 remote sensing images of which in 2005, 2008, 2011, 2014 and 2017, the surface information of the bare land, vegetation, water body and impervious surface in Erhai Lake basin were extracted based on the Normalized Difference Soil Index (NDSI), the Normalized Difference Vegetation Index (NDVI), the Modified Normalized Difference Water Index (MNDWI) and the Normalized Difference Impervious Surface Index (NDISI). By analyzing the extracted information, the spatial distribution characteristics of the main surface objects were explored and the impacts of which on the ecological environment were studied. This study indicated that the area of the impervious surface in Erhai Lake basin was increasing year by year, but the water quality there was decreasing in recent years. The comprehensive use of GIS, RS and statistical analysis method is the main innovation of this research, and the results can provide reference information for urban planning management and river basin environmental management in Erhai Lake Basin.","PeriodicalId":254163,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130911983","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

An Image Denoising Fast Algorithm for Weighted Total Variation 加权总变差图像去噪快速算法

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144809

Fan Liao, Shuai Shao

引用次数: 3

Variation Characteristics Analysis of the Vegetation Coverage in Midu County Based on Landsat 8 Remote Sensing Image 基于Landsat 8遥感影像的米渡县植被覆盖度变化特征分析

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144806

Wen Dong, Zhou yang

{"title":"Variation Characteristics Analysis of the Vegetation Coverage in Midu County Based on Landsat 8 Remote Sensing Image","authors":"Wen Dong, Zhou yang","doi":"10.1145/3144789.3144806","DOIUrl":"https://doi.org/10.1145/3144789.3144806","url":null,"abstract":"The purpose of this study is to analyze the general characteristics of the spatial and temporal changes of vegetation coverage of Midu County in 2013, 2014 and 2015. Based on the Landsat 8 satellite remote sensing image data of Midu County in the three different periods, the variation characteristics of the vegetation coverage in Midu County were studied by using normalized difference vegetation index (NDVI) and the dimidiate pixel model. The changes of the vegetation coverage in Midu County between 2013 and 2014 were as follows: the lowest vegetation coverage and the lower vegetation coverage were increased by 0.753% and 8.442%, and the moderate vegetation coverage, the higher vegetation coverage and the highest vegetation coverage were decreased by 0.528%, 8.564% and 0.071%, respectively. Then the changes of the vegetation coverage in Midu County between 2014 and 2015 were: the lowest vegetation coverage, the lower vegetation coverage and the moderate vegetation coverage were decreased by 1.852%, 13.158% and 6.249%, and the higher vegetation coverage and the highest vegetation coverage were increased by 0.900% and 20.358%, respectively. The vegetation coverage rate above moderate level in Midu County was 85.35% in 2013, 76% in 2014 and 91.17% in 2015. It can be seen that the vegetation coverage of the Midu County were all above intermediate or high level during the study period, so the overall vegetation cover was in good condition. The comprehensive use of GIS, RS and statistical analysis method is the main innovation of this research, and the results can provide valuable reference for the local ecological environmental protection and scientific development.","PeriodicalId":254163,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","volume":"292 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121481285","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

An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center 云数据中心中能量感知的虚拟机布局算法

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144792

Mingzhe Tan, Ce Chi, Jiahao Zhang, S. Zhao, Guangli Li, Shuai Lü

{"title":"An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center","authors":"Mingzhe Tan, Ce Chi, Jiahao Zhang, S. Zhao, Guangli Li, Shuai Lü","doi":"10.1145/3144789.3144792","DOIUrl":"https://doi.org/10.1145/3144789.3144792","url":null,"abstract":"In order to reduce the energy waste in the data center, while taking into account the violation rate of user service level and the resource utilization rate, this paper studies how to adopt effective strategy to get the reasonable suboptimal solution by combining above three indexes. This paper designs a nonlinear energy consumption model based on polynomials and exponents to measure the energy consumption of different deployment schemes. It is the basis of the deployment strategy. At the heart of this paper, the probability transfer function and the fitness function are designed to optimize the ant colony algorithm. Finally a multi-objective optimization ant colony algorithm based on threshold-dependent pheromone updating was proposed. The algorithm is a kind of distributed optimization method, which is beneficial to parallel computation and has a positive feedback mechanism. The optimal solution can be efficiently obtained by continuous updating of pheromone. The experimental results show that the ant colony algorithm of multi-objective virtual machine placement can achieve the optimal trade-off between multiple conflicting targets, so that the system's energy consumption is less, the violation rate of user service level and the resource utilization rate is also small.","PeriodicalId":254163,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125896640","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: 3

A New Method for Computing Preferred Extensions 一种计算优选扩展的新方法

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144796

Xindi Zhang, Xiaojie Xie, Yancen Pan, Dangdang Niu, Shuai Lü

{"title":"A New Method for Computing Preferred Extensions","authors":"Xindi Zhang, Xiaojie Xie, Yancen Pan, Dangdang Niu, Shuai Lü","doi":"10.1145/3144789.3144796","DOIUrl":"https://doi.org/10.1145/3144789.3144796","url":null,"abstract":"Preferred semantics is one of the most important semantics in abstract argumentation. This paper designed a new algorithm, named ACPE, for computing preferred extensions based on SAT approach. Firstly, Algorithm ACPE searches for admissible extensions by converting admissible semantic into CNF formula and invoking SAT solver to solve this formula. After finding a new admissible extension, ACPE will get a complete extension by a strategy of expanding, after which ACPE adds a constraint formulae to the CNF formulae to avoid any subset of this extension to be found in searching for a new admissible extension. ACPE execute the above procedure repeatedly until it cannot find any admissible extensions by calling SAT solver. At last, ACPE found all maximum complete extensions or, that is to say, preferred extensions. Through theoretical analysis, this paper proved the correctness and completeness of ACPE. To analyze the performance of ACPE, we compared it with other three solvers, Cegartix, ArgSemSAT and CoQuiAAS, ranking the top three fast solver of computing enumeration reasoning problems for preferred semantics in international competition ICCMA'15. The result of experiment shows that the efficiency of ACPE is similar with ArgSemSAT and Cegartix but weaker than CoQuiAAS when solving easy problems; when it comes to hard problem, ACPE is generally better than ArgSemSAT and CoQuiAAS, and better than Cegartix for most instances.","PeriodicalId":254163,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133217687","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

Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals 一种改进的DSSS信号伪码周期估计方法分析

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144800

Feng Chuan, Sui Tao, Zhou Fan

引用次数: 0

Cloud Computing Resource Scheduling based on Improved Semantic Search Engine 基于改进语义搜索引擎的云计算资源调度

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144805

Jia Chen, Jiali Xu, Bei Hui

{"title":"Cloud Computing Resource Scheduling based on Improved Semantic Search Engine","authors":"Jia Chen, Jiali Xu, Bei Hui","doi":"10.1145/3144789.3144805","DOIUrl":"https://doi.org/10.1145/3144789.3144805","url":null,"abstract":"Cloud computing resource has the features of dynamic, heterogeneous, distributed and complexity etc. Meanwhile the numbers of resources and tasks to be scheduled in Cloud are usually variable. This makes the Cloud resource scheduling a complex optimization problem. None of existing Cloud systems is both being an automated scheduling and considering the optimal usage of resources. To address above problems, we propose a Cloud computing resource scheduling strategy using improved Semantic Search Engine (ISSE). SSE is a new type of service search engine developed by Semantic Computing laboratory in University of California, Irvine. It provides Cloud users with a friendly problem-driven interface to automatically schedule resources that would be used to build a solution according to users' requirementsin the aid of semantic information from resources and user requirements. Further we adopt improvedgenetic algorithm (IGA) in SSE to optimize the scheduling so as to obtain the optimal usage of resources. In our proposed IGA there should be a code distant between the selected parents to retain the population diversity and obtain the valid solution. The architecture of our proposed ISSE is presented as well as the process and implementation of IGA. The experiment results show our proposed ISSE is feasible and can reduce about 16% average tasks execution time comparing to the traditional Cloud resource scheduling (TCRS).","PeriodicalId":254163,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131365763","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: 5

An AQI Level Forecasting Model Using Chi-square Test and BP Neural Network 基于卡方检验和BP神经网络的AQI水平预测模型

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144817

Haiyao Wang, Jingyang Wang, Xiaohong Wang

引用次数: 5

Research on Mural Inpainting Method based on MCA Image Decomposition 基于MCA图像分解的壁画绘制方法研究

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144816

Z. Qiang, Libo He, Yaqiong Chen, Dan Xu

{"title":"Research on Mural Inpainting Method based on MCA Image Decomposition","authors":"Z. Qiang, Libo He, Yaqiong Chen, Dan Xu","doi":"10.1145/3144789.3144816","DOIUrl":"https://doi.org/10.1145/3144789.3144816","url":null,"abstract":"Morphological component analysis (MCA) is a signal analysis method based on sparse model, its core idea is to represent different components of the signal based on morphological difference of the signal's components. It can separate overlapping texture and cartoon image layers by use two adapted dictionaries. MCA performs good in image inpainting, especially for the image scratch repairing, small area filling, and remove small object. In this paper, we proposed a color image inpainting algorithm based on MCA, and applied the proposed algorithm to repair the murals digital image in the Shibaoshan grotto of Jianchuan, Yunnan province. The central idea of the algorithm is converting the color image into the Lab color space, and inpainting the texture and piecewise smooth (cartoon) parts respectively. Meanwhile, our method increases the TV penalty term in the sparse representation of the cartoon parts to reduce the effects of the noise. Finally, the method combines three channels to realize the color image restoration. Experimential results show that the method has good performence on scratches and cracks in the inpainting of digital images of mural paintings.","PeriodicalId":254163,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent Information Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115967825","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

An improved Q-algorithm based on EPC Class 1 Generation 2 protocol 基于EPC第1类第2代协议的改进q算法

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI: 10.1145/3144789.3144798

Lin Peng, Yanhan Zeng, Hanyu Liu, Hongzhou Tan

引用次数: 1