Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00058
Rui-Hui Jia
Along with the rapid development of the Internet, more specialized and detailed information sources like Q&A sites have gradually come into being. On these social Q&A platforms, there are plenty of hot topics and news being discussed and even created every minute. Therefore, it is of great practical significance to learn about hot social issues by analyzing and parsing the content on social Q&A platforms. By taking a social Q&A platform as the research subject, this paper analyzes the difficulties in crawling data from this platform and relevant solutions, designs and implement a data crawling system containing a user information storage module, a highly anonymous and available proxy maintenance module, a node crawling and parsing module, and a data storage module. With these modules, the system is able to crawl data and store it without being restricted by the platform. On this basis, this paper designs and implements a hotspot parsing and grading module. Based on echarts, a historical hotspot display module and a trending hotspot display module are designed to show the historical and trending hotspots on this platform. Then, this paper uses the proposed data crawling module and the hotspot analysis and display system to obtain the data of 31,520 regularized independent topics and the real-time data of 979,815 questions from this social Q&A platform. Based on these data, the historical and trending hotspot analysis on this platform is displayed. The experimental results show that this system has fully met the design objectives. Finally, this research summarizes the proposed data crawling and hotspot analysis system and provides reference and directions for future work.
{"title":"The Data Crawling and Hotspot Analyze of Social Q&A Site","authors":"Rui-Hui Jia","doi":"10.1109/ICNISC.2017.00058","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00058","url":null,"abstract":"Along with the rapid development of the Internet, more specialized and detailed information sources like Q&A sites have gradually come into being. On these social Q&A platforms, there are plenty of hot topics and news being discussed and even created every minute. Therefore, it is of great practical significance to learn about hot social issues by analyzing and parsing the content on social Q&A platforms. By taking a social Q&A platform as the research subject, this paper analyzes the difficulties in crawling data from this platform and relevant solutions, designs and implement a data crawling system containing a user information storage module, a highly anonymous and available proxy maintenance module, a node crawling and parsing module, and a data storage module. With these modules, the system is able to crawl data and store it without being restricted by the platform. On this basis, this paper designs and implements a hotspot parsing and grading module. Based on echarts, a historical hotspot display module and a trending hotspot display module are designed to show the historical and trending hotspots on this platform. Then, this paper uses the proposed data crawling module and the hotspot analysis and display system to obtain the data of 31,520 regularized independent topics and the real-time data of 979,815 questions from this social Q&A platform. Based on these data, the historical and trending hotspot analysis on this platform is displayed. The experimental results show that this system has fully met the design objectives. Finally, this research summarizes the proposed data crawling and hotspot analysis system and provides reference and directions for future work.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116500799","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}
Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00053
Jingqiu Yang, Yan-li Wang
This paper describes meaning of integrating tax information into informationization management system after "the replacement of the business tax with a value-added tax" through analyzing operation characteristics and management information status of construction industry, which promotes application of interconnected Internet of things technique in management informationization system of construction industry; in addition, the thesis constructs management informationization system module system of construction industry with the hope that it can provide certain reference value for informationization construction of construction enterprises.
{"title":"Research on Construction of Informationization Management System After \"the Replacement of the Business Tax with a Value-Added Tax\" of Construction Industry","authors":"Jingqiu Yang, Yan-li Wang","doi":"10.1109/ICNISC.2017.00053","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00053","url":null,"abstract":"This paper describes meaning of integrating tax information into informationization management system after \"the replacement of the business tax with a value-added tax\" through analyzing operation characteristics and management information status of construction industry, which promotes application of interconnected Internet of things technique in management informationization system of construction industry; in addition, the thesis constructs management informationization system module system of construction industry with the hope that it can provide certain reference value for informationization construction of construction enterprises.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130969155","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}
Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00060
Lan Wei, Manyun Lin, Xian-Gang Zhao, Lizi Xie, Peng Guo, Cunqun Fan
Meteorological satellite data growth, relying solely on the increase in hardware storage is difficult to meet the data growth requirements. There are several ways to store the data platform cannot be shared or large data block fast transfer. In this paper, a data storage method for meteorological satellite terrestrial application system based on object storage is proposed, which is based on Client File System (CFS), Directory Path Index Server (DPIS), Medadata Server (MDS) and Object Storage Target (OST) Four systems were designed. The proposed method can realize the fast transmission of large data blocks under the premise of guaranteeing the sharing of data platform.
{"title":"Data Storage Method of Meteorological Satellite Ground Application System Based on Object Storage","authors":"Lan Wei, Manyun Lin, Xian-Gang Zhao, Lizi Xie, Peng Guo, Cunqun Fan","doi":"10.1109/ICNISC.2017.00060","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00060","url":null,"abstract":"Meteorological satellite data growth, relying solely on the increase in hardware storage is difficult to meet the data growth requirements. There are several ways to store the data platform cannot be shared or large data block fast transfer. In this paper, a data storage method for meteorological satellite terrestrial application system based on object storage is proposed, which is based on Client File System (CFS), Directory Path Index Server (DPIS), Medadata Server (MDS) and Object Storage Target (OST) Four systems were designed. The proposed method can realize the fast transmission of large data blocks under the premise of guaranteeing the sharing of data platform.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"35 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132285901","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}
Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00022
Tie Hong, Jiangchun Ren
Cloud computing is convenience, flexibility, costeffective, making it the rapid development. Cloud computing business have been developed by many famous IT companies such as Microsoft, Google, Amazon, and we call it Cloud Service Provider (CSP). Many small companies also want to deploy their services on the cloud for reducing their costs. However, one issue that can't be ignored is that security needs to be analyzed before the cloud platform deployment. The current consensus is that security of cloud is the biggest obstacle to its development. Current cloud security issues are mainly concentrated in the theoretical stage, manifested in what cloud platform should have to ensure security; each cloud platform has its own implementation, and does not disclose its security implementation mechanisms. Therefore, for companies who want to deploy their own private cloud platform, open source cloud platform is a good choice. This paper focus on the mainstream open source cloud platform (OpenStack, CloudStack, Eucalyptus), and make an analysis of the security to the user as a reference when they choosing the open source cloud platform.
{"title":"An Analysis about the Security of the Current Open Source Cloud Platform","authors":"Tie Hong, Jiangchun Ren","doi":"10.1109/ICNISC.2017.00022","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00022","url":null,"abstract":"Cloud computing is convenience, flexibility, costeffective, making it the rapid development. Cloud computing business have been developed by many famous IT companies such as Microsoft, Google, Amazon, and we call it Cloud Service Provider (CSP). Many small companies also want to deploy their services on the cloud for reducing their costs. However, one issue that can't be ignored is that security needs to be analyzed before the cloud platform deployment. The current consensus is that security of cloud is the biggest obstacle to its development. Current cloud security issues are mainly concentrated in the theoretical stage, manifested in what cloud platform should have to ensure security; each cloud platform has its own implementation, and does not disclose its security implementation mechanisms. Therefore, for companies who want to deploy their own private cloud platform, open source cloud platform is a good choice. This paper focus on the mainstream open source cloud platform (OpenStack, CloudStack, Eucalyptus), and make an analysis of the security to the user as a reference when they choosing the open source cloud platform.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389671","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}
Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00025
Heyang Chen, Wen-Long Chen, Shuo Zhang
Researchers in routing table decomposition have got many achievements but never considered the situation of line card with different capacity. Generally, decomposed storage algorithm pursues storing uniformity in order to enhance the utilization of storage. In line cards with different capacity, measuring the uniformity needs a new standard. Proposed Routing Table Decomposition of Line Cards with Different Capacity, namely RELI, decomposes the binary route tree created by all route entries to group the whole route table, making the stored saturation of line cards even and converging to a threshold value. It helps to decompose the routing table into line cards with different capacity uniformly, control the number of items in line cards, and reduce the number of locating route as possible. Furthermore, RELI algorithm can also decompose and store routing table into line cards with same capacity.
{"title":"Routing Table Decomposition in Line Cards with Different Capacity","authors":"Heyang Chen, Wen-Long Chen, Shuo Zhang","doi":"10.1109/ICNISC.2017.00025","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00025","url":null,"abstract":"Researchers in routing table decomposition have got many achievements but never considered the situation of line card with different capacity. Generally, decomposed storage algorithm pursues storing uniformity in order to enhance the utilization of storage. In line cards with different capacity, measuring the uniformity needs a new standard. Proposed Routing Table Decomposition of Line Cards with Different Capacity, namely RELI, decomposes the binary route tree created by all route entries to group the whole route table, making the stored saturation of line cards even and converging to a threshold value. It helps to decompose the routing table into line cards with different capacity uniformly, control the number of items in line cards, and reduce the number of locating route as possible. Furthermore, RELI algorithm can also decompose and store routing table into line cards with same capacity.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126911238","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}
While the Infrastructure-as-a-Service (IaaS) cloud computing model has become a compelling computing solution, the security concerns on the data and application integrity in the virtual machines (VMs) have drastically restricted its widespread adoption. Although numerous researches have been dedicated to deal with the aforementioned issues, it still remains a challenge for now. In this paper, we present DRAS, a novel framework for remote attestation on VMs in IaaS cloud. It combines trusted computing with virtual machine introspection to provide flexible measurement for targeted VMs in a stealthy manner, which is more robust to malicious attackers. Moreover, we minimize the impact on platform performance and reduce trusted computing base by separating integrity measurement and attestation service from privileged domain to a dedicated secure VM. We show a concrete implementation of DRAS and a prototype based on Xen hypervisor.
{"title":"Dynamic Remote Attestation Service for Virtual Machine on the IaaS Cloud Platform","authors":"Huaizhe Zhou, Haihe Ba, Jiangchun Ren, Yong Chen, Yongjun Wang, Zhiying Wang","doi":"10.1109/ICNISC.2017.00017","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00017","url":null,"abstract":"While the Infrastructure-as-a-Service (IaaS) cloud computing model has become a compelling computing solution, the security concerns on the data and application integrity in the virtual machines (VMs) have drastically restricted its widespread adoption. Although numerous researches have been dedicated to deal with the aforementioned issues, it still remains a challenge for now. In this paper, we present DRAS, a novel framework for remote attestation on VMs in IaaS cloud. It combines trusted computing with virtual machine introspection to provide flexible measurement for targeted VMs in a stealthy manner, which is more robust to malicious attackers. Moreover, we minimize the impact on platform performance and reduce trusted computing base by separating integrity measurement and attestation service from privileged domain to a dedicated secure VM. We show a concrete implementation of DRAS and a prototype based on Xen hypervisor.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"5004 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129692067","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}
Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00046
Lijun Zhang, Xi-Sheng Zhang
This paper design a software model which implement self-security checking mechanism. The core of this model is through dynamical checking pre-designed data from the program file, to detect software intrusion and tamper, so could protect software function from being distorted.
{"title":"A Software System Model Based on Dynamic Self-Monitor","authors":"Lijun Zhang, Xi-Sheng Zhang","doi":"10.1109/ICNISC.2017.00046","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00046","url":null,"abstract":"This paper design a software model which implement self-security checking mechanism. The core of this model is through dynamical checking pre-designed data from the program file, to detect software intrusion and tamper, so could protect software function from being distorted.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122440145","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}
Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00012
Liuyang Gao, Jianfeng Feng, Mingzhong Liu, Wenxiu Li
We propose a resource allocation algorithm combining transmit power and signal effective time-width joint optimization to improve the multi-target tracking performance and to achieve better accuracy of velocity estimation under the condition of limited system resources for MIMO radar. An optimization mode is established with two optimal parameters: the transmit power and the effective time of the signal to minimize the CRLB and solve this nonconvex optimization model by the sequential parameter convex estimation (SPCA) algorithm. Simulation results show that the proposed algorithm can significantly improve the estimation accuracy of target velocity and the effect on the accuracy of target velocity estimation of signal effective time-width is more than that of the transmitted power.
{"title":"Resource Allocation Algorithm of Velocity Estimation for MIMO Radar","authors":"Liuyang Gao, Jianfeng Feng, Mingzhong Liu, Wenxiu Li","doi":"10.1109/ICNISC.2017.00012","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00012","url":null,"abstract":"We propose a resource allocation algorithm combining transmit power and signal effective time-width joint optimization to improve the multi-target tracking performance and to achieve better accuracy of velocity estimation under the condition of limited system resources for MIMO radar. An optimization mode is established with two optimal parameters: the transmit power and the effective time of the signal to minimize the CRLB and solve this nonconvex optimization model by the sequential parameter convex estimation (SPCA) algorithm. Simulation results show that the proposed algorithm can significantly improve the estimation accuracy of target velocity and the effect on the accuracy of target velocity estimation of signal effective time-width is more than that of the transmitted power.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661028","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}
Pub Date : 2017-04-01DOI: 10.1109/ICNISC.2017.00061
Hong-Peng Sun, Xiaoling Xia, Jia-jin Le, Hao Huang
To discover the useful information in a large amount of hydrological data set becomes a big challenge in hydrological data mining. Water level Prediction has great significance for the state flood control. However, current approaches has low accuracy and bad adaptability. In this paper, we put forward a new forecasting approach based on polyelem-ent correlation analysis and improved BP neural network. First, we used correlation analysis technique to obtain the most relatively influential factors of water level, rainfall and temperature. These two factors and water level were put together to train the improved double-hidden neural network model, then we used LMDP optimization algorithm to optimize the model. The data of experiment is the daily water level, rainfall and temperature data from Zhari Namco observation station. The experimental results based on the five evaluation criteria demonstrate that the proposed method has high accuracy, low error and be superior to the traditional prediction model.
{"title":"Water Level Prediction Based on Polyelement Correlation Analysis and Improved BP Neural Network","authors":"Hong-Peng Sun, Xiaoling Xia, Jia-jin Le, Hao Huang","doi":"10.1109/ICNISC.2017.00061","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00061","url":null,"abstract":"To discover the useful information in a large amount of hydrological data set becomes a big challenge in hydrological data mining. Water level Prediction has great significance for the state flood control. However, current approaches has low accuracy and bad adaptability. In this paper, we put forward a new forecasting approach based on polyelem-ent correlation analysis and improved BP neural network. First, we used correlation analysis technique to obtain the most relatively influential factors of water level, rainfall and temperature. These two factors and water level were put together to train the improved double-hidden neural network model, then we used LMDP optimization algorithm to optimize the model. The data of experiment is the daily water level, rainfall and temperature data from Zhari Namco observation station. The experimental results based on the five evaluation criteria demonstrate that the proposed method has high accuracy, low error and be superior to the traditional prediction model.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"40 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131550835","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}
This paper presents a novel method of real-time air pollution analysis. First, we acquire real-time air quality data in several methods via Internet. Second, by combining them with population, elevation, and industry information, we analyze the air quality using the classification model of random forest. Last, we generate on-the-fly thematic maps automatically to visualize the classification results.
{"title":"Integration of Real-Time Air Pollution Analysis and Mapping Based on Multisource Data","authors":"Chen Chen, Qiang Liu, Pei-wen Liu, Yaosen Huang, Wei-qing Li, Hao Luo","doi":"10.1109/ICNISC.2017.00054","DOIUrl":"https://doi.org/10.1109/ICNISC.2017.00054","url":null,"abstract":"This paper presents a novel method of real-time air pollution analysis. First, we acquire real-time air quality data in several methods via Internet. Second, by combining them with population, elevation, and industry information, we analyze the air quality using the classification model of random forest. Last, we generate on-the-fly thematic maps automatically to visualize the classification results.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130785999","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}
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