Atmospheric Data Collection, Processing and Database Management in India Meteorological Department

2014 ◽  
Vol 80 (3) ◽  
pp. 697 ◽  
Author(s):  
A. K. Jaswal ◽  
N. M. Narkhede ◽  
Rachel Shaji
Author(s):  
Avery Sanford ◽  
Marcela Lopez ◽  
Jarod Johnson ◽  
Austin Dennis ◽  
Lindsey Meyers ◽  
...  

Author(s):  
Kartika Purwandari ◽  
Anzaludin Samsinga Perbangsa ◽  
Join W. C. Sigalingging ◽  
Adhi Asta Krisna ◽  
Suci Anggrayani ◽  
...  

2017 ◽  
Vol 01 (01) ◽  
pp. 10-14
Author(s):  
Amr Maged Elsaadany ◽  
Fida Hasan Alaeddin ◽  
Mohamed Farouk Badran ◽  
Hamad Saleh Alsuhaibani

AbstractWith the growing amount of research projects in the field of interventional radiology, storing and organizing the patients' data and information effectively is becoming more difficult. Existing hospital electronic medical record and archiving systems store patient information in the form of reports which put the physicians and researchers in a situation where they have to use time-consuming manual search through reports for suitable patients for different clinical researches. Spreadsheet programs such as Microsoft Excel® (Microsoft, Washington, USA) are often used as a data storage, which has limitations in both organization and the quality of the data. Higher risk of incorrect data entry and introducing duplicates are associated with data input and analysis without a database system. Furthermore, selection, as well as calculation of data, is time-consuming. This article aims to provide interventionists with an efficient data collection tool optimized for interventional oncology clinical research. The implementation of the current database and interface allows a much faster and more detailed retrospective analysis of patient cohorts. The database management system with an interface is a very time-efficient and robust tool that provides a significant edge over the manual retrieval of patient records by filtering data and assisting statistical analysis in a study-relevant fashion.


2021 ◽  
Vol 1 (3) ◽  
pp. 100-105
Author(s):  
Muhammad Fakhimuddin ◽  
Uswatun Khasanah ◽  
Rini Trimiyati

Data management is part of information resource management which includes all activities that ensure that company data resources are accurate, up-to-date, and safe from tampering, and are also available to users and the company. This study aims to find out about the role of concept database management in managing large volumes of company data. The result showed that data management activities include data collection, integrity, and testing, storage, maintenance, security, organization, retrieval. Meanwhile, the database structure includes hierarchical database structure, network database structure, and relational database structure.


Author(s):  
Sahruddin Sahruddin ◽  
Abdus Salam

The book data information system at the Aceh Provincial Language Center still uses conventional methods in book data collection. The large number of printed manuscripts that were entered and the transaction process caused many difficulties in controlling bookkeeping. In addition, data processing also takes a long time. From the background description, the authors define the problem only in how the E-library Database Management System at the Aceh Provincial Language Headquarters and the design of the E-library Database Management System at the Aceh Province Language Center Office are web-based. The purpose of the discussion is to find out the E-library Database Management System at the Aceh Provincial Language Headquarters and to design a web-based E-library Database Management System at the Aceh Province Language Headquarters. For the perfection of this report, the authors collected data using several data collection methods, including using field studies and literature studies. The E-library Database Management System makes it easy for the Aceh Provincial Language Headquarters to evaluate the handling of e-libraries and with this application, it can overcome problems that exist at the Aceh Provincial Language Head Office because it speeds up reporting and reduces human errors.


MAUSAM ◽  
2022 ◽  
Vol 52 (3) ◽  
pp. 575-580
Author(s):  
M. K. GUPTA

India Meteorological Department (IMD) has been operating a network of one hundred Automatic Weather Stations called Data Collection Paltform (DCP) since 1986. All these stations are unmanned and there is no way to know the working status of DCP equipment except to extract such Information from the data transmitted by them. Hence suitable algorithms were developed to evaluate the working status of various sub-systems of DCP stations by analysing the data received from them, which is essential for their effective and efficient maintenance. The concept used in developing these algorithms is described here.


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