scholarly journals Management of COVID-19 Pandemic Data in India: Challenges Faced and Lessons Learnt

2021 ◽  
Vol 4 ◽  
Author(s):  
Jasmine Kaur ◽  
Jasleen Kaur ◽  
Ajay Singh Dhama ◽  
Vinit Kumar ◽  
Harpreet Singh
Keyword(s):  
Data Management ◽  
Data Management System ◽  
Management Tool ◽  
Policy Decisions ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Entire Duration ◽  
Testing Data ◽  
One Stop ◽  
The Government

COVID-19 is an ongoing pandemic, which has already claimed millions of lives worldwide. In the absence of prior information on the pandemic, the governments can use generated testing data to drive policy decisions. Thus, a one-stop repository is essential to ensure sharing of clean, de-duplicated, and updated records to all the stakeholders. In India, the government initiated the testing through a network of VRDLs headed by the Indian Council of Medical Research (ICMR). Initially, the generated data were captured and shared in Excel sheets. As the number of cases increased, there was a need for a data management system to ensure reliable and up-to-date data to drive policy decisions. Thus, the data management team at ICMR initiated the development of a national COVID-19 testing data management tool that is currently maintaining all the data in a central hub. The first version of the tool was released in March 2020 and was subsequently modified with the changing testing guidelines and strategies. On completing one and a half years of managing the data and collecting approximately 550 million records, the team analyzed the challenges faced and the strategies used to ensure a seamless flow of data to the system and its real-time analysis. In this study, the entire duration of the pandemic has been divided into four different phases based on the resourcefulness of the country. Since the pandemic is currently ongoing, this study can be useful for countries in a different phase of pandemic facing similar challenges.

scholarly journals A Novel Runtime Algorithm for the Real-Time Analysis and Detection of Unexpected Changes in a Real-Size SHM Network with a Quasi-Distributed FBG Sensors

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2871
Author(s):  
Felipe Isamu H. Sakiyama ◽  
Frank Lehmann ◽  
Harald Garrecht
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
Data Management System ◽  
Time Analysis ◽  
Unexpected Events ◽  
Analysis Algorithm ◽  
Structural Health ◽  
Real Time Analysis ◽  
Real Size

The ability to track the structural condition of existing structures is one of the main concerns of bridge owners and operators. In the context of bridge maintenance programs, visual inspection predominates nowadays as the primary source of information. Yet, visual inspections alone are insufficient to satisfy the current needs for safety assessment. From this perspective, extensive research on structural health monitoring has been developed in recent decades. However, the transfer rate from laboratory experiments to real-case applications is still unsatisfactory. This paper addresses the main limitations that slow the deployment and the acceptance of real-size structural health monitoring systems (SHM) and presents a novel real-time analysis algorithm based on random variable correlation for condition monitoring. The proposed algorithm was designed to respond automatically to detect unexpected events, such as local structural failure, within a multitude of random dynamic loads. The results are part of a project on SHM, where a high sensor-count monitoring system based on long-gauge fiber Bragg grating sensors (LGFBG) was installed on a prestressed concrete bridge in Neckarsulm, Germany. The authors also present the data management system developed to handle a large amount of data, and demonstrate the results from one of the implemented post-processing methods, the principal component analysis (PCA). The results showed that the deployed SHM system successfully translates the massive raw data into meaningful information. The proposed real-time analysis algorithm delivers a reliable notification system that allows bridge managers to track unexpected events as a basis for decision-making.

scholarly journals A Block Chain and IoT Based Hybrid Students Record System for E-Governance

2021 ◽  
pp. 59-71
Author(s):  
R. D. Balaji ◽  
Said Jaboob ◽  
R. Malathi
Keyword(s):  
Data Management ◽  
System Architecture ◽  
Rapid Change ◽  
Data Management System ◽  
Educational Institutions ◽  
Record Management ◽  
Record System ◽  
Activity Diagram ◽  
Block Chain ◽  
The Government

Aims: This paper addresses a system for the students’ record management by the educational institutions using the IoT and Block chain technologies. Motive for this Research: The growth of the contemporary technologies around the world has made almost all the chores easier and faster. Yet, the government and private organizations are struggling to identify the appropriate candidates for the required positions and to verify their credentials during the recruitment process. The recruiting companies are facing the issue of deceitful activities during the certification and other credential verifications. Moreover, the data are available only in the universities and the verification processes are very often manually completed and they are time demanding. Thus maintaining data integrity and security becomes the major concern for the organizations, which have widely suggested considering AI technology applications in the educational institutions which are ubiquitous nowadays, especially with the current rapid change in the technology landscape. In higher education institutions as a modernization process they have started using the IoT devices for recording the students’ status and performing many activities automatically. The Block chain technology is used for secured peer to peer networks for the private data maintenance. Since it is demanding good Internet infrastructure and the transactions are computationally expensive, there are some hesitations in adapting Block chain technology for the regular activities by the organizations. Despite the security features of the Block chain, there are very few systems and proposals available using IoT and Block chain due to the technical complications while merging these technologies. Study Design: We have highlighted the various concepts of these two technologies, their applications, advantages, challenges, etc. Place and Duration of Study: Department of Information Technology, University of Technology and Applied Sciences – Salalah, Oman, from Dec 2019 to February 2021. Results: A system architecture is proposed and it explains and shows how the Block chain security is being imposed on the IoT based applications especially for the student data management system. The activity diagram of the proposed system helps and assists in understanding the flow of the correspondences among the organizations and the candidates (students) and the way the information is maintained. Conclusion: The proposed system architecture This system is secure, fast and it can be used by the government and the private institutions not only for the students’ record management and verification, but for many other different purposes within the scope of data management systems.

scholarly journals A Big Data & Business Intelligence in Government Office Buildings

2021 ◽  
Vol 7 (1) ◽  
pp. 14-17
Author(s):  
Ain Farhana Jamaludin ◽  
Muhammad Najib Razali ◽  
Rohaya Abdul Jalil ◽  
Siti Hajar Othman ◽  
Yasmin Mohd Adnan
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Management ◽  
High Speed ◽  
Intelligent System ◽  
Current System ◽  
Data Repository ◽  
Real Time Analysis ◽  
Government Data ◽  
The Government

Effective maintenance management requires proper data management for decision-making purposes. Big Data (BD) and Business Intelligence’s (BI) growing trend has created many challenges for government data management in particular. The government finds difficulties in integrating the massive volume of data with high-speed processing due to incapable database management in the current system, and the issues are not appropriately addressed. This paper contributes significantly, which focuses on an intelligent system that lets the government make an integral part of decision-making and can be applied horizontally to solve the problems in practice. Accordingly, an efficient data repository system with real-time analysis is proposed in this paper and it looks at a real case study highlighting the need for proper data management in government.

Building Cyberinfrastructure for Data Management and Sensor Control in Ocean Observation

2013 ◽  
Vol 302 ◽  
pp. 735-739 ◽  
Author(s):  
Xiu Li ◽  
Ming Jin ◽  
Zhao Yang Liu ◽  
Rong Sheng Huang ◽  
Zhen Hua Guo
Keyword(s):  
Data Management ◽  
Real Time ◽  
Base Station ◽  
Data Management System ◽  
Integrated Network ◽  
The Public ◽  
Computing Platform ◽  
Mass Data ◽  
Real Time Analysis ◽  
Distributed Computing Platform

Today, in order to enrich economic and scientific research value, sensor network and its data management system have been widely used in ocean observing and in real-time continuous data collecting. In this article, the risks associated with modeling, assessing, managing, and communicating of observing systems are taken into consideration, a cyberinfrastructure architecture is designed to ensure the global observation networks real-time, integrated network research and mass data analysis, with its base station communications, satellites and cables to transfer data, using distributed computing platform for real-time analysis of mass data of worldwide sensors to obtain the new progress of research topic and provide disaster warning. This is important to allow researchers study collaboratively with other researchers as if in their laboratories, also cause the public to further contact with sea world, and widen the public education road.

scholarly journals Design of Integrated Data Management System for Sustainability Reporting and Program for Manufacturing Industries in Indonesia

2019 ◽  
Author(s):  
Priskila Christine Rahayu ◽  
Daisy Amanda ◽  
Jessica Hanafi
Keyword(s):  
Sustainable Development ◽  
Data Management ◽  
Management System ◽  
Manufacturing Industry ◽  
Sustainability Reporting ◽  
Data Management System ◽  
Green Industry ◽  
Evaluation Phase ◽  
The Government ◽  
Sustainability Report

The    manufacturing    industry    and    its relationship with sustainable development simply cannot be separated.  Especially,  when  the  government  started  to  show their   attention   by   giving   various   obligations   for   the manufacturing industry to implement sustainable development   principles,   such   as   the   obligation   of   the company     to     conduct     a     social     and     environmental responsibility  by  making  sustainability  report,  the environmental impact assessment (AMDAL) report,  to  participate  in  various  sustainability  programs such  as  Corporate Performance Rating Program (PROPER)  and  Green  Industry  Award.  There  are  so many  indicators  and  data  that  need  to  be  collected  in  order to   fulfill   these   obligations.   It   certainly   may   charge   the company in terms of time, yet the number of indicators and the   data required were similar between one report to another.  There is still no particular design to be able to resolve the issue. Therefore, the aim of this study is to design an  integrated  data  management  system  for  sustainability reporting  needs  and  sustainability  programs  which  has  the end  result  of  an application  prototype  of  a  system  that  can help  companies,  especially  in  the  manufacturing  industry  to create  reporting  even  more efficient.  Data  management  is done  by  combining  all  four  types  of  reporting  and  program which  are  Global Report Initiative sustainability  report,  the  AMDAL  report, Green  Industry  program,  and  PROPER.  The  prototype  is made   based   on   the   results   of   data   management   using Microsoft  Access  to  store  data  and  to  produce  four  types  of summary   reports.   In   the   end   of   the   study,   it   can   be concluded  that,  overall,  the  system  can  be  implemented  and by  the  withdrawal  of  three  respondents review,  the  system can  improve  the efficiency of  the  company  in  preparing sustainability reporting. In the evaluation phase, it is found a related  method  that  can  be  used  as  the basis  to  do  before making reporting in order to make them more easily 40.98%, that is Life Cycle Assessment.

scholarly journals PENGEMBANGAN SISTEM PENGELOLAAN DATA KUALITAS AIR LIMBAH DOMESTIK PERKOTAAN

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Heru Dwi Wahjono
Keyword(s):  
Waste Water ◽  
Water Quality ◽  
Data Management ◽  
River Water ◽  
Urban Areas ◽  
Data Management System ◽  
Quality Data ◽  
Domestic Waste ◽  
Water Quality Data ◽  
The Government

One of the activities undertaken within the framework of environmental sanitation management by the government is to publish a variety of regulations governing the wastewater disposal problem. Sources of pollution of the most dominant in urban areas are domestic wastewater. Government institutions through BPLHD have conducted regular monitoring of river water quality in Jakarta. Management of water quality data from domestic waste sources is needed to control river water pollution. This requires data management system of urban domestic waste water quality. In this article will be discussed the development of data management systems for domestic waste water quality with reference to the current applicable regulations. Key words : water quality database,  domestic waste water quality

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

Risk Management on Information Security in ABC Company

2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Data Management ◽  
Management System ◽  
Risk Mitigation ◽  
Data Management System ◽  
Data Centre ◽  
Long Time ◽  
Mitigation Action ◽  
Better Than

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.

E-Government : an exploratory study of online government procurement

2008 ◽  
Vol 5 (2) ◽  
pp. 15
Author(s):  
Maniam Kaliannan
Keyword(s):  
Public Sector ◽  
Empirical Investigation ◽  
Government Procurement ◽  
Management Tool ◽  
Government Service ◽  
The Public ◽  
Organizational Perspective ◽  
Effective Manner ◽  
The Government ◽  
Government Level

The quest to improve the government service delivery is becoming an important agenda for most governments. The introduction oflCT in the public sector especially E-Government initiatives opens up a new chapter in the government administration throughout the world. Governments have deployed ICT to serve their citizens in an efficient and effective manner. This paper presents an empirical investigation of Malaysian government's e-Procurement initiative (locally known as e-Perolehan). The aim of the paper is to examine factors that influence the current and future use of the system within the supplier community. These factors are grouped in three perspectives, (i) organizational perspective; (ii) technological perspective; and (Hi) environmental perspective. The general consensus amongst both the buyer and seller communities is that e-procurement will become an important management tool to enhance the performance of supply chain especially in the public sector. However, before this occurs, the findings suggest that several issues must be addressed by the relevant authorities in light of the three perspectives as mentioned above, to improve the procurement process at the federal government level.

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