scholarly journals Environmental-data Collection System for Satellite-to-Ground Optical Communications

2018 ◽  
Vol 16 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Kenji SUZUKI ◽  
Dimitar KOLEV ◽  
Alberto CARRASCO-CASADO ◽  
Morio TOYOSHIMA
Keyword(s):  
Data Collection ◽  
Optical Communications ◽  
Environmental Data ◽  
Collection System ◽  
Data Collection System

scholarly journals Development of Automated Environmental Data Collection System and Environment Statistics Dashboard

2021 ◽  
Vol 5 (2) ◽  
pp. 314-325
Author(s):  
Dede Yoga Paramartha ◽  
Ana Lailatul Fitriyani ◽  
Setia Pramana
Keyword(s):  
Data Collection ◽  
Economic Activity ◽  
Agricultural Sector ◽  
Environmental Data ◽  
Green Growth ◽  
Collection System ◽  
Data Collection System ◽  
Environmental Statistics ◽  
Temperature And Humidity

Environmental data such as pollutants, temperature, and humidity are data that have a role in the agricultural sector in predicting rainfall conditions. In fact, pollutant data is common to be used as a proxy to see the density of industry and transportation. With this need, it is necessary to have automated data from outside websites that are able to provide data faster than satellite confirmation. Data sourced from IQair, can be used as a benchmark or confirmative data for weather and environmental statistics in Indonesia. Data is taken by scraping method on the website. Scraping is done on the API available on the website. Scraping is divided into 2 stages, the first is to determine the location in Indonesia, the second is to collect statistics such as temperature, humidity, and pollutant data (AQI). The module used in python is the scrapy module, where the crawling is effective starting from May 2020. The data is recorded every three hours for all regions of Indonesia and directly displayed by the Power BI-based dashboard. We also illustrated that AQI data can be used as a proxy for socio-economic activity and also as an indicator in monitoring green growth in Indonesia.

scholarly journals Evaluation of Tropospheric and Ionospheric Effects on the Geographic Localization of Data Collection Platforms

2007 ◽  
Vol 2007 ◽  
pp. 1-11 ◽  
Author(s):  
C. C. Celestino ◽  
C. T. Sousa ◽  
W. Yamaguti ◽  
H. K. Kuga
Keyword(s):  
Data Collection ◽  
Geographical Location ◽  
Geographic Location ◽  
Low Earth Orbit ◽  
Environmental Data ◽  
Collection System ◽  
Data Collection System ◽  
Doppler Shifts ◽  
Low Earth Orbit Satellites

The Brazilian National Institute for Space Research (INPE) is operating the Brazilian Environmental Data Collection System that currently amounts to a user community of around 100 organizations and more than 700 data collection platforms installed in Brazil. This system uses the SCD-1, SCD-2, and CBERS-2 low Earth orbit satellites to accomplish the data collection services. The main system applications are hydrology, meteorology, oceanography, water quality, and others. One of the functionalities offered by this system is the geographic localization of the data collection platforms by using Doppler shifts and a batch estimator based on least-squares technique. There is a growing demand to improve the quality of the geographical location of data collection platforms for animal tracking. This work presents an evaluation of the ionospheric and tropospheric effects on the Brazilian Environmental Data Collection System transmitter geographic location. Some models of the ionosphere and troposphere are presented to simulate their impacts and to evaluate performance of the platform location algorithm. The results of the Doppler shift measurements, using the SCD-2 satellite and the data collection platform (DCP) located in Cuiabá town, are presented and discussed.

A Numerically Coded File of Operative Procedures Derived from a Free Text Data Collection System : A Measure of the Accuracy

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong
Keyword(s):  
Data Collection ◽  
Pap Smear ◽  
Operative Procedures ◽  
Free Text ◽  
Collection System ◽  
Process Data ◽  
Text Data ◽  
Data Collection System ◽  
History Of ◽  
Correlation System

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.

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