Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557155
Ju Zhang, Qingwu Hu
Bridge construction progress management is critical to project management, quality supervision and risk control. This research presents a method of management the progress of bridge construction with a mixture of panorama and oblique photogrammetry. Firstly, the panoramic images of the bridge construction site were obtained by using the Unmanned Aerial Vehicle (UAV). Secondly, the panoramic images were processed by oblique photography measurement technology, and the 3D real models of the bridge construction site were established. Finally, the visualization management platform of bridge construction progress was established to support the management and analysis of bridge construction progress. Taking the construction management of the Zhuankou Yangtze River Bridge in Wuhan as an example, the construction progress management was carried out by using this method. The result shows that the method is simple and feasible and has wide application prospect in large-scale construction.
{"title":"A Visualization Progress Management Approach of Bridge Construction Based on Mixed Panoramic and Oblique Photogrammetry","authors":"Ju Zhang, Qingwu Hu","doi":"10.1109/GEOINFORMATICS.2018.8557155","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557155","url":null,"abstract":"Bridge construction progress management is critical to project management, quality supervision and risk control. This research presents a method of management the progress of bridge construction with a mixture of panorama and oblique photogrammetry. Firstly, the panoramic images of the bridge construction site were obtained by using the Unmanned Aerial Vehicle (UAV). Secondly, the panoramic images were processed by oblique photography measurement technology, and the 3D real models of the bridge construction site were established. Finally, the visualization management platform of bridge construction progress was established to support the management and analysis of bridge construction progress. Taking the construction management of the Zhuankou Yangtze River Bridge in Wuhan as an example, the construction progress management was carried out by using this method. The result shows that the method is simple and feasible and has wide application prospect in large-scale construction.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126380628","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557162
Jiaxin Xu, Yi Luo, Kun Yang, P. Hou
In the study of geography, the intensity of interaction between two objects affected by distance is called spatial influence. The study of spatial influence is a concrete description and analysis of spatial interaction problems in the study of geography and regional economics, and it also summarizes analytical methods for spatial influence. According to the Tobler's First Law of Geography, the spatial interaction is affected by distance. Therefore, based on the Gravity Model, this paper discusses the distance decay function to analyze the situation and change of interaction strength between objects under the influence of distance. The field spread model is used to analyze the spatial attractiveness and radiation force of the city. The Breakpoint Theory reflects the specific strength of the intercity connections, especially the attraction of surrounding cities at the Breaking Point. These methods provide theoretical basis for urban regional planning, and have important practical significance for the sustainable development of cities in the future.
{"title":"Study and Analysis the Spatial Influence of Intercity Interaction","authors":"Jiaxin Xu, Yi Luo, Kun Yang, P. Hou","doi":"10.1109/GEOINFORMATICS.2018.8557162","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557162","url":null,"abstract":"In the study of geography, the intensity of interaction between two objects affected by distance is called spatial influence. The study of spatial influence is a concrete description and analysis of spatial interaction problems in the study of geography and regional economics, and it also summarizes analytical methods for spatial influence. According to the Tobler's First Law of Geography, the spatial interaction is affected by distance. Therefore, based on the Gravity Model, this paper discusses the distance decay function to analyze the situation and change of interaction strength between objects under the influence of distance. The field spread model is used to analyze the spatial attractiveness and radiation force of the city. The Breakpoint Theory reflects the specific strength of the intercity connections, especially the attraction of surrounding cities at the Breaking Point. These methods provide theoretical basis for urban regional planning, and have important practical significance for the sustainable development of cities in the future.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126034252","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557141
Zhenyu Zhu, Junzhong Tan
With continuous innovation of the “Internet+” and development of related industries, huge amounts of data need to be integrated on the basis of spatial data analysis and processing. Therefore, efficient integration of multi-source heterogeneous spatial data and data interoperability requirements has become more and more urgent. The design of a multisource heterogeneous vector spatial data integration scheme on WebGIS has been proposed by GeoJSON as the universal transformation format, based on the analysis of the existing multi-source heterogeneous spatial data conversion method. Finally, a prototype of the online prototype system was developed with. Net platform to verify the feasibility and practicability of the scheme. The scheme has the characteristics of high efficiency, easy to expand and low cost, and provides a new way to realize the data integration of “Internet+”.
{"title":"A Multi-Source Heterogeneous Vector Space Data Integration Scheme Based on GeoJSON","authors":"Zhenyu Zhu, Junzhong Tan","doi":"10.1109/GEOINFORMATICS.2018.8557141","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557141","url":null,"abstract":"With continuous innovation of the “Internet+” and development of related industries, huge amounts of data need to be integrated on the basis of spatial data analysis and processing. Therefore, efficient integration of multi-source heterogeneous spatial data and data interoperability requirements has become more and more urgent. The design of a multisource heterogeneous vector spatial data integration scheme on WebGIS has been proposed by GeoJSON as the universal transformation format, based on the analysis of the existing multi-source heterogeneous spatial data conversion method. Finally, a prototype of the online prototype system was developed with. Net platform to verify the feasibility and practicability of the scheme. The scheme has the characteristics of high efficiency, easy to expand and low cost, and provides a new way to realize the data integration of “Internet+”.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128124932","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557136
Zhikun Zhang, Guoxian Hu, Fengzhi Wu, Chao Wang
The campus surveying control network is the basic precondition of the school's infrastructure construction and instruction about surveying and mapping, which is beneficial to the school's information system management and scientific decision. The layout process of the traditional surveying control network is complex. Besides, the means of data protection are limited, and easily to be damaged. This paper takes the old campus of Wenshan University as the studied area. Using modern surveying and mapping technology (RTK, DSI) completed the establishment of a campus surveying control network. Combining GIS technology, ArcGISServer, ESRI map service technology and Internet technology to set up the Surveying control network digital system of Wenshan University. It is Not only to ensure the accuracy and integrity of survey production and survey control point, and provides effective reference for school infrastructure construction and teaching. Meanwhile, It has laid a solid foundation for the construction of digital campus, smart campus and information management of Wenshan University, Also provides a solid foundation for the leaping development of Wenshan University in the new era of socialism with Chinese characteristics.
{"title":"The Campus Surveying Control Network Digital Construction Planning and Implementation","authors":"Zhikun Zhang, Guoxian Hu, Fengzhi Wu, Chao Wang","doi":"10.1109/GEOINFORMATICS.2018.8557136","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557136","url":null,"abstract":"The campus surveying control network is the basic precondition of the school's infrastructure construction and instruction about surveying and mapping, which is beneficial to the school's information system management and scientific decision. The layout process of the traditional surveying control network is complex. Besides, the means of data protection are limited, and easily to be damaged. This paper takes the old campus of Wenshan University as the studied area. Using modern surveying and mapping technology (RTK, DSI) completed the establishment of a campus surveying control network. Combining GIS technology, ArcGISServer, ESRI map service technology and Internet technology to set up the Surveying control network digital system of Wenshan University. It is Not only to ensure the accuracy and integrity of survey production and survey control point, and provides effective reference for school infrastructure construction and teaching. Meanwhile, It has laid a solid foundation for the construction of digital campus, smart campus and information management of Wenshan University, Also provides a solid foundation for the leaping development of Wenshan University in the new era of socialism with Chinese characteristics.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128286774","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557114
Fuxun Liang, Bisheng Yang
Solar potential analysis is essential for Building Information Modeling (BIM) applications, like photovoltaic installation. The estimation of solar potential on rooftops has been widely discussed, whereas the study on façade is still limited. Benefit from the development of various sensors, ubiquitous point clouds are now widely and easily captured by photogrammetry, laser scanning or other technologies, to represent the building geometry. This paper proposes a method for solar potential analysis on both rooftops and façades, using ubiquitous point cloud collected by Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanning (TLS). One building with different orientations is selected for the case study. Results show that the proposed method is valid for multilevel solar potential analysis of buildings.
{"title":"Multilevel Solar Potential Analysis of Building Based on Ubiquitous Point Clouds","authors":"Fuxun Liang, Bisheng Yang","doi":"10.1109/GEOINFORMATICS.2018.8557114","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557114","url":null,"abstract":"Solar potential analysis is essential for Building Information Modeling (BIM) applications, like photovoltaic installation. The estimation of solar potential on rooftops has been widely discussed, whereas the study on façade is still limited. Benefit from the development of various sensors, ubiquitous point clouds are now widely and easily captured by photogrammetry, laser scanning or other technologies, to represent the building geometry. This paper proposes a method for solar potential analysis on both rooftops and façades, using ubiquitous point cloud collected by Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanning (TLS). One building with different orientations is selected for the case study. Results show that the proposed method is valid for multilevel solar potential analysis of buildings.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133699347","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557051
Han Yue, Hangbin Wu
With the development of mobile positioning technology and people's indoor activities continuing to increase, the indoor maps as the basis for indoor navigation to express information have become the current research hot spots. Existing methods of indoor maps are mainly based on traditional surveying, spatial entities extraction from CAD (Computer Aided Design) files or obtaining indoor maps through SLAM (Simultaneous Localization And Mapping). However, there are some problems in the above-mentioned methods, such as high data acquisition cost and poor timeliness. In order to overcome the shortcomings of the existing methods, the paper proposes an update method of indoor maps based on VGI (Volunteered Geographic Information). Firstly, the visualization scheme for indoor maps' organization and expression was put forward based on the OpenStreetMap, a VGI open source digital map. Then the key issues of updating and checking indoor maps by volunteers are proposed in the paper. Finally, based on the idea of version update, a multi-level open source architecture using Openlayers, Geoserver and PostGIS was adopted to design and implement a public indoor map service and update system, which verified the feasibility for indoor data updating based on VGI.
随着移动定位技术的发展和人们室内活动的不断增加，室内地图作为室内导航表达信息的基础已成为当前的研究热点。现有的室内地图绘制方法主要是基于传统的测绘方法，从CAD (Computer Aided Design)文件中提取空间实体，或者通过SLAM (Simultaneous Localization And Mapping)方法获取室内地图。然而，上述方法存在数据采集成本高、时效性差等问题。为了克服现有方法的不足，提出了一种基于志愿地理信息(VGI)的室内地图更新方法。首先，基于VGI开源数字地图OpenStreetMap，提出了室内地图组织与表达的可视化方案;在此基础上，提出了志愿者室内地图更新与校核的关键问题。最后，基于版本更新的思路，采用Openlayers、Geoserver和PostGIS多层次开源架构，设计并实现了公共室内地图服务与更新系统，验证了基于VGI的室内数据更新的可行性。
{"title":"Update Method of Indoor Maps Based on Volunteered Geographic Information (VGI)","authors":"Han Yue, Hangbin Wu","doi":"10.1109/GEOINFORMATICS.2018.8557051","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557051","url":null,"abstract":"With the development of mobile positioning technology and people's indoor activities continuing to increase, the indoor maps as the basis for indoor navigation to express information have become the current research hot spots. Existing methods of indoor maps are mainly based on traditional surveying, spatial entities extraction from CAD (Computer Aided Design) files or obtaining indoor maps through SLAM (Simultaneous Localization And Mapping). However, there are some problems in the above-mentioned methods, such as high data acquisition cost and poor timeliness. In order to overcome the shortcomings of the existing methods, the paper proposes an update method of indoor maps based on VGI (Volunteered Geographic Information). Firstly, the visualization scheme for indoor maps' organization and expression was put forward based on the OpenStreetMap, a VGI open source digital map. Then the key issues of updating and checking indoor maps by volunteers are proposed in the paper. Finally, based on the idea of version update, a multi-level open source architecture using Openlayers, Geoserver and PostGIS was adopted to design and implement a public indoor map service and update system, which verified the feasibility for indoor data updating based on VGI.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133913073","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557120
Xianyu Li, Zhongyin Guo
The status information collection of the post-disaster traffic lifeline has many characteristics, such as wide ranges of sources, different information formats, and severe changes in time and space. In order to improve the processing accuracy of multi-source heterogeneous information, an information fusion model based on improved D-S evidence theory was proposed, which relied on information source reliability. Through collecting different traffic-lifeline state information, the features could be extracted from the collected information, and the preliminary decision results about the lifeline state was obtained correspondingly. According to certain fusion criterion and the reliability of each information source, the final fusion result was obtained with an example applied to certify the specific application of the model.
{"title":"Multi-Source Information Fusion Model of Traffic Lifeline Based on Improved D-S Evidence Theory","authors":"Xianyu Li, Zhongyin Guo","doi":"10.1109/GEOINFORMATICS.2018.8557120","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557120","url":null,"abstract":"The status information collection of the post-disaster traffic lifeline has many characteristics, such as wide ranges of sources, different information formats, and severe changes in time and space. In order to improve the processing accuracy of multi-source heterogeneous information, an information fusion model based on improved D-S evidence theory was proposed, which relied on information source reliability. Through collecting different traffic-lifeline state information, the features could be extracted from the collected information, and the preliminary decision results about the lifeline state was obtained correspondingly. According to certain fusion criterion and the reliability of each information source, the final fusion result was obtained with an example applied to certify the specific application of the model.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"107 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133391694","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557090
Donglai Jiao, Jintao Sun, W. He
With the development of smart cities, Internet of Things (IoT) and Geographic Information Systems (GIS) technologies are gradually being integrated, more and more application architectures for IoT are based on GIS, especially in the management of sensor device and related applications. In the GIS-based sensor device management application, the sensor device is abstracted into map symbol and displayed on the map, the position and attribute information of the sensor are intuitively displayed by map symbols. Because the design and rendering process of traditional map symbol lacks the method of combining with real-time data of sensors, the traditional map symbols can't be used to visualize real-time sensor data in the process of GIS visualization. In the field of real-time monitoring, supervisory control and data acquisition system (SCADA) established the mapping relationship between sensor data and graphic elements in the graphical interface, which called configuration method, to realize real-time visualization of sensor data. In this paper, we refer to the configuration method and applies it to the design process of map symbols. Based on the traditional vector map symbol, the mapping relationship between the sensor data and the graphic element is defined in the map symbol design process. When the map symbol is rendered in the GIS environment, the configuration map symbol is integrated into the map layer. Communication module in the client which communicates with the communication server receives real-time sensor data and triggers the refresh of the map layer. According to the data received, the configuration symbols are redrawn and realize the real-time visualization of the sensor data in GIS environment. All the methods and processes shown above have been verified in Geo Tools.
{"title":"Design and Implementation of Configuration Map Symbol","authors":"Donglai Jiao, Jintao Sun, W. He","doi":"10.1109/GEOINFORMATICS.2018.8557090","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557090","url":null,"abstract":"With the development of smart cities, Internet of Things (IoT) and Geographic Information Systems (GIS) technologies are gradually being integrated, more and more application architectures for IoT are based on GIS, especially in the management of sensor device and related applications. In the GIS-based sensor device management application, the sensor device is abstracted into map symbol and displayed on the map, the position and attribute information of the sensor are intuitively displayed by map symbols. Because the design and rendering process of traditional map symbol lacks the method of combining with real-time data of sensors, the traditional map symbols can't be used to visualize real-time sensor data in the process of GIS visualization. In the field of real-time monitoring, supervisory control and data acquisition system (SCADA) established the mapping relationship between sensor data and graphic elements in the graphical interface, which called configuration method, to realize real-time visualization of sensor data. In this paper, we refer to the configuration method and applies it to the design process of map symbols. Based on the traditional vector map symbol, the mapping relationship between the sensor data and the graphic element is defined in the map symbol design process. When the map symbol is rendered in the GIS environment, the configuration map symbol is integrated into the map layer. Communication module in the client which communicates with the communication server receives real-time sensor data and triggers the refresh of the map layer. According to the data received, the configuration symbols are redrawn and realize the real-time visualization of the sensor data in GIS environment. All the methods and processes shown above have been verified in Geo Tools.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131117692","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557161
Xian Xia, Hong Liang, Rongfeng Yang, Yang Kun
The general methods of circular target extraction include Hough transform, circle fitting method, template circle detection method, etc. However, due to the abundance of information in high resolution remote sensing images, the result of the extraction is disturbed by the background, resulting in poor results. In order to solve this problem, this paper proposes an oil tank extraction method in high-resolution remote sensing image based on deep learning. Our experiment uses the RSOD-Dataset shared by Wuhan University. Firstly, it uses the Selective Search algorithm for target recognition, then trains the CaffeNet network model under the deep learning Caffe framework as a feature extraction classifier, and finally marks the oil tank in the image. Experiments show that the method proposed in this paper can effectively carry out oil tank extraction. The proposed method is robust in different complex backgrounds which has high detection rate and low false alarm rate.
{"title":"Oil Tank Extraction in High-Resolution Remote Sensing Images Based on Deep Learning","authors":"Xian Xia, Hong Liang, Rongfeng Yang, Yang Kun","doi":"10.1109/GEOINFORMATICS.2018.8557161","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557161","url":null,"abstract":"The general methods of circular target extraction include Hough transform, circle fitting method, template circle detection method, etc. However, due to the abundance of information in high resolution remote sensing images, the result of the extraction is disturbed by the background, resulting in poor results. In order to solve this problem, this paper proposes an oil tank extraction method in high-resolution remote sensing image based on deep learning. Our experiment uses the RSOD-Dataset shared by Wuhan University. Firstly, it uses the Selective Search algorithm for target recognition, then trains the CaffeNet network model under the deep learning Caffe framework as a feature extraction classifier, and finally marks the oil tank in the image. Experiments show that the method proposed in this paper can effectively carry out oil tank extraction. The proposed method is robust in different complex backgrounds which has high detection rate and low false alarm rate.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132444378","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 : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557164
Wen Xiong, Kun Yang, Yanhui Zhu
Urban traffic data analysis platform is an important infrastructure to a modern city. As the spatial-temporal data produced in traffic transportation systems explosively growth, the operators in traffic field are trying to adopt the new emerging big data solutions born in the internet area. However, it is hard to find a high cost/performance solution to build this platform because diverse combinations of hardware and software configuration. Currently, the operators selecting solutions depend on simple evaluation results based on internet benchmarks such as terasort. Two issues including: (1) is it appropriate that evaluating a solution for spatial-temporal applications by internet benchmark; and (2) what is the characteristic of spatial-temporal application and the potential optimization measurements, have never been fully explored. We address this issue by a novel workload characterization tool, called Extensible Metric Importance Analysis (EMIA), for big data applications. The key idea is a performance model based on ensemble learning, which takes the program metrics as the input, outputs the performance metric such as execution time, and ranks these metrics as their corresponding importance. Based on EMIA, we apply principal component analysis (PCA) to program behaviors of five representative spatial-temporal applications and nine popular internet big data benchmarks. Experimental results show that spatial-temporary applications present unique characteristics and it is unreasonable to evaluate solutions for spatial-temporary applications by internet benchmarks. Moreover, we optimize spatial-temporary applications via applying measurements to the key factors identified by EMIA, achieving obviously performance improvement.
{"title":"A Characterization and Comparison of Spatial-Temporal Applications and Internet Big Data Benchmarks","authors":"Wen Xiong, Kun Yang, Yanhui Zhu","doi":"10.1109/GEOINFORMATICS.2018.8557164","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557164","url":null,"abstract":"Urban traffic data analysis platform is an important infrastructure to a modern city. As the spatial-temporal data produced in traffic transportation systems explosively growth, the operators in traffic field are trying to adopt the new emerging big data solutions born in the internet area. However, it is hard to find a high cost/performance solution to build this platform because diverse combinations of hardware and software configuration. Currently, the operators selecting solutions depend on simple evaluation results based on internet benchmarks such as terasort. Two issues including: (1) is it appropriate that evaluating a solution for spatial-temporal applications by internet benchmark; and (2) what is the characteristic of spatial-temporal application and the potential optimization measurements, have never been fully explored. We address this issue by a novel workload characterization tool, called Extensible Metric Importance Analysis (EMIA), for big data applications. The key idea is a performance model based on ensemble learning, which takes the program metrics as the input, outputs the performance metric such as execution time, and ranks these metrics as their corresponding importance. Based on EMIA, we apply principal component analysis (PCA) to program behaviors of five representative spatial-temporal applications and nine popular internet big data benchmarks. Experimental results show that spatial-temporary applications present unique characteristics and it is unreasonable to evaluate solutions for spatial-temporary applications by internet benchmarks. Moreover, we optimize spatial-temporary applications via applying measurements to the key factors identified by EMIA, achieving obviously performance improvement.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122206655","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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