{"title":"一个快速的方法,使移动应用程序与地理位置日志和报告","authors":"Yanke Hu, Xiwang Zhang, Liangmin Hu","doi":"10.1109/GEOINFORMATICS.2015.7378609","DOIUrl":null,"url":null,"abstract":"With the rapid evolvement of mobile and cloud technology, the cost of collecting and studying human behavior data is largely reduced. Geo-location data is probably the most important and interesting data that vendors and researchers care about when their designed apps are being used. If an organization maintains several apps, and it wants to monitor the geo-location trend of each app's usage, it will be chaotic and redundant to implement geo-location logging module for every individual app. Instead, it's much cleaner to encapsulate geo-location logging component into SDKs, and centralize the reporting portals into the same cloud service. In this paper, we propose an approach of Modularization SDK Implementation and Cloud reporting architecture, to enable Mobile apps with sensor information logging and reporting by inserting one single line of code. We also use Geo-Location logging as an example and explain how it works on iOS and Android platforms. Our approach can bring several advantages including removing redundant implementation of function modules and bringing more scalability on backend reporting.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A fast approach to enable mobile apps with Geo-Location logging and reporting\",\"authors\":\"Yanke Hu, Xiwang Zhang, Liangmin Hu\",\"doi\":\"10.1109/GEOINFORMATICS.2015.7378609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid evolvement of mobile and cloud technology, the cost of collecting and studying human behavior data is largely reduced. Geo-location data is probably the most important and interesting data that vendors and researchers care about when their designed apps are being used. If an organization maintains several apps, and it wants to monitor the geo-location trend of each app's usage, it will be chaotic and redundant to implement geo-location logging module for every individual app. Instead, it's much cleaner to encapsulate geo-location logging component into SDKs, and centralize the reporting portals into the same cloud service. In this paper, we propose an approach of Modularization SDK Implementation and Cloud reporting architecture, to enable Mobile apps with sensor information logging and reporting by inserting one single line of code. We also use Geo-Location logging as an example and explain how it works on iOS and Android platforms. Our approach can bring several advantages including removing redundant implementation of function modules and bringing more scalability on backend reporting.\",\"PeriodicalId\":371399,\"journal\":{\"name\":\"2015 23rd International Conference on Geoinformatics\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 23rd International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GEOINFORMATICS.2015.7378609\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast approach to enable mobile apps with Geo-Location logging and reporting
With the rapid evolvement of mobile and cloud technology, the cost of collecting and studying human behavior data is largely reduced. Geo-location data is probably the most important and interesting data that vendors and researchers care about when their designed apps are being used. If an organization maintains several apps, and it wants to monitor the geo-location trend of each app's usage, it will be chaotic and redundant to implement geo-location logging module for every individual app. Instead, it's much cleaner to encapsulate geo-location logging component into SDKs, and centralize the reporting portals into the same cloud service. In this paper, we propose an approach of Modularization SDK Implementation and Cloud reporting architecture, to enable Mobile apps with sensor information logging and reporting by inserting one single line of code. We also use Geo-Location logging as an example and explain how it works on iOS and Android platforms. Our approach can bring several advantages including removing redundant implementation of function modules and bringing more scalability on backend reporting.