Real-Time Compilation System for Input-Output Table Based on Distributed Database and Remote Data Replication Technology

Author(s):  
Haiying Wu ◽  
Hengqing Tong ◽  
Chao Yu ◽  
Xujie Zhao ◽  
Yang Liu
2012 ◽  
Vol 26 (2) ◽  
pp. 59-86
Author(s):  
주원 ◽  
Lee Joo Rynag ◽  
Yoon-Jung Jung
Keyword(s):  

1985 ◽  
Vol 24 (3-4) ◽  
pp. 531-550 ◽  
Author(s):  
Suleiman I. Cohen ◽  
Ivo C. Havinga ◽  
Mohammad Saleem

The macro-econometric model of Pakistan's economy by Naqvi et al. (3) is the first completed work in a renewed effort to model significant economic and social activities and issues in Pakistan. One of the current modelling efforts in which the authors are participating aims at combining elements from the macro-econometric model, inter-industry relations, factor market relations, and social accounting frameworks. This effort is now made possible by the compilation of the relevant statistics relating to an input-output table and the social accounting matrix ....................................................................................................


Author(s):  
P. Venkatramaiah ◽  
A. R. Kulkarni ◽  
L. Argade
Keyword(s):  

2012 ◽  
Vol 253-255 ◽  
pp. 705-715 ◽  
Author(s):  
Mohamed Elbanhawi ◽  
Milan Simic

This paper presents one application of industrial robots in the automation of renewable energy production. The robot supports remote performance monitoring and maintenance of salinity gradient solar ponds. The details of the design, setup and the use of the robot sampling station and the remote Data Acquisition (DAQ) system are given here. The use of a robot arm, to position equipment and sensors, provides accurate and reliable real time data needed for autonomous monitoring and control of this type of green energy production. Robot upgrade of solar ponds can be easily integrated with existing systems. Data logged by the proposed system can be remotely accessed, plotted and analysed. Thus the simultaneous and remote monitoring of a large scale network of ponds can be easily implemented. This provides a fully automated solution to the monitoring and control of green energy production operations, which can be used to provide heat and electricity to buildings. Remote real time monitoring will facilitate the setup and operations of several solar ponds around cities.


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