{"title":"基于阵列的大气扫描激光雷达集成系统","authors":"Kyoseung Koo, Juhun Kim, Bongki Moon","doi":"10.1145/3468791.3468829","DOIUrl":null,"url":null,"abstract":"Researchers suffer from two problems while building a data processing pipeline for atmospheric scanning LiDAR. First, they must build an entire system that handles collecting signals, processing data, and visualizing the results. Second, they should support fast data processing to expand and deploy their system. In this paper, we introduce MISE, a fast integrated system that handles atmospheric scanning LiDAR data. MISE provides end-to-end processing, configuration options, and predefined signal-processing methods. In addition, the system uses an efficient chunking approach for fast processing with an array database. We demonstrate the construction and operation of a fine-dust particle monitoring system (based on a real-world scenario) using MISE. This demonstration demonstrates the usability and fast performance of MISE.","PeriodicalId":312773,"journal":{"name":"33rd International Conference on Scientific and Statistical Database Management","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"MISE: An Array-Based Integrated System for Atmospheric Scanning LiDAR\",\"authors\":\"Kyoseung Koo, Juhun Kim, Bongki Moon\",\"doi\":\"10.1145/3468791.3468829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Researchers suffer from two problems while building a data processing pipeline for atmospheric scanning LiDAR. First, they must build an entire system that handles collecting signals, processing data, and visualizing the results. Second, they should support fast data processing to expand and deploy their system. In this paper, we introduce MISE, a fast integrated system that handles atmospheric scanning LiDAR data. MISE provides end-to-end processing, configuration options, and predefined signal-processing methods. In addition, the system uses an efficient chunking approach for fast processing with an array database. We demonstrate the construction and operation of a fine-dust particle monitoring system (based on a real-world scenario) using MISE. This demonstration demonstrates the usability and fast performance of MISE.\",\"PeriodicalId\":312773,\"journal\":{\"name\":\"33rd International Conference on Scientific and Statistical Database Management\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"33rd International Conference on Scientific and Statistical Database Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3468791.3468829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"33rd International Conference on Scientific and Statistical Database Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3468791.3468829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MISE: An Array-Based Integrated System for Atmospheric Scanning LiDAR
Researchers suffer from two problems while building a data processing pipeline for atmospheric scanning LiDAR. First, they must build an entire system that handles collecting signals, processing data, and visualizing the results. Second, they should support fast data processing to expand and deploy their system. In this paper, we introduce MISE, a fast integrated system that handles atmospheric scanning LiDAR data. MISE provides end-to-end processing, configuration options, and predefined signal-processing methods. In addition, the system uses an efficient chunking approach for fast processing with an array database. We demonstrate the construction and operation of a fine-dust particle monitoring system (based on a real-world scenario) using MISE. This demonstration demonstrates the usability and fast performance of MISE.