scholarly journals DEVELOPMENT OF FOOD SECURITY INFORMATION SYSTEM BASED ON BUSINESS INTELLIGENCE IN FOOD SECURITY AGENCY, MINISTRY OF AGRICULTURE, INDONESIA

2014 ◽  
Vol 8 (2) ◽  
pp. 76
Author(s):  
Manise Hendrawaty ◽  
Harisno Harisno
Keyword(s):  
Decision Making ◽  
Information System ◽  
Food Security ◽  
Real Time ◽  
Balanced Scorecard ◽  
Business Intelligence ◽  
Business Environment ◽  
Security Information ◽  
Real Time Information ◽  
Time Information

Food is the main basic need of human, because of that fulfillment of human need of food has to be fulfilled. So it can fulfill that need, then government institution, Food Security Agency (BKP) is formed so it can monitor fulfillment of food need of society. The goals of this writing are to develop food security information system that provides dashboard facility based on business intelligence, to develop food security information system that can give fast, precise and real time information about food security, to develop decision-making support system for chairman in food security institution. Data is obtained from questionnaires to 51 respondents that are chairmen in Food Security Agency. Data is analyzed with SWOT analysis method for business environment and IT balanced scorecard (IT BSC) for IS/IT environment. The result of analysis of food security information system in Food Security Agency can help chairman in decision-making by presenting information about dashboard that gives fast, precise and real time information. It can be concluded that development of information is successfully done.

scholarly journals Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine

2021 ◽  
Vol 71 (2) ◽  
pp. 239-256
Author(s):  
Saadat Boulanouar ◽  
Hafaifa Ahmed ◽  
Belhadef Rachid ◽  
Kouzou Abdellah
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Gas Turbine ◽  
Incomplete Data ◽  
System Approach ◽  
Full Data ◽  
Accurate Identification ◽  
Prognostic System ◽  
Real Time Information ◽  
Time Information

Abstract This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based on real time information obtained from different installed sensors. In this approach the case of incomplete obtained data which may occur frequently is taken into account by using an approach of full data reconstitution form incomplete data. The proposed fuzzy prognostic system approach presented in this paper allows the analysis of the data obtained via the vibration indicators of a gas turbine system for the accurate identification of the faults to avoid the performance degradation of such systems. In order to prove the robustness of the proposed approach presented in this paper, several tested has been performed.

scholarly journals Method for Determination of Cyber Threats Based on Machine Learning for Real-Time Information System

2018 ◽  
Vol 10 (8) ◽  
pp. 11-18 ◽  
Author(s):  
Volodymyr Tolubko ◽  
◽  
Viktor Vyshnivskyi ◽  
Vadym Mukhin ◽  
Halyna Haidur ◽  
...  
Keyword(s):  
Machine Learning ◽  
Information System ◽  
Real Time ◽  
Cyber Threats ◽  
Real Time Information ◽  
Time Information

Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure

2019 ◽  
Author(s):  
Gisela Soley ◽  
Miquel Morata Royes ◽  
Nahuel Manzo ◽  
Valentí Fontserè ◽  
Joan Peset
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Predictive Maintenance ◽  
Industrial Technology ◽  
Climatic Effects ◽  
Railway Infrastructure ◽  
Real Time Information ◽  
Time Information ◽  
Predictive Simulations

<p>RESILTRACK, “Smart and Resilient System for a Conditioned Predictive Maintenance of Railway Infrastructure”, is a 4-year project co-funded by the Centre for the Development of Industrial Technology (CDTI) in Spain. RESILTRACK brings together 6 Spanish partners (COMSA, Retevisión, Telice, Cemosa, Magtel and Estudios GIS) and 4 research and technological institutions (CIMNE, Tecnalia, Leitat and University of Málaga) to work on the design of a system which provides real time information of the infrastructure state and how it is affected by climatic effects. Data will be obtained by a robust, integral and autonomous monitoring of the railway infrastructure, and it will be analyzed by predictive simulations through DEM-FEM models. Finally, the concepts will be integrated through a BIM tool to facilitate decision making.</p>

Money Supply

2014 ◽  
pp. 452-466
Author(s):  
Rituparna Das
Keyword(s):  
Decision Making ◽  
Civil Society ◽  
Central Bank ◽  
Real Time ◽  
Money Supply ◽  
Modeling And Forecasting ◽  
Real Time Information ◽  
Time Information

Money supply is nowadays expected to contain precise, comprehensive, and real-time information about the macroeconomic system to facilitate decision making of the Central Bank. Because money supply, as driver or driven, is linked from time to time to several other variables like inflation, it touches every lair of civil society and politics. An important aspect of understanding such information is to identify other variables and their interrelations with money supply and the models to quantify and predict the same. This chapter covers various facets and issues of modeling and forecasting money supply in India in a comparative tone between pre- and post-crisis periods.

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