Accelerating large-scale non-linear models for monitoring and control using spatial and temporal correlations

Author(s):  
R. Bos ◽  
X. Bombois ◽  
P. Van den Hof
2019 ◽  
Vol 5 (15) ◽  
pp. 1448-1455
Author(s):  
Venelin Terziev ◽  
Teodora Petrova

The non-motorized air systems for intelligence, monitoring and control of the earth surface have gained currency and are used for various tactic flight’s tasks and missions. The non-motorized aircrafts (NMA) and the air-monitoring systems that include board and land part are key elements of these systems. The world experience in using NMA for these uses shows that they are most suitable where the exploitation conditions are very extreme and there is an unacceptable risk for operations of piloted aviation. Such are intelligence and observation of strictly guarded sites, zones, where military operations are conducted as well as regions with large scale fires and floods. The use of people in these conditions is connected with actual threat for their lives and practically, NMA as a tool for collecting and processing of information is irreplaceable. Keywords: registration of images, methods, information systems, non-motorized aircrafts.


2018 ◽  
Vol 49 (6) ◽  
pp. 1788-1803 ◽  
Author(s):  
Mohammad Ebrahim Banihabib ◽  
Arezoo Ahmadian ◽  
Mohammad Valipour

Abstract In this study, to reflect the effect of large-scale climate signals on runoff, these indices are accompanied with rainfall (the most effective local factor in runoff) as the inputs of the hybrid model. Where one-year in advance forecasting of reservoir inflows can provide data to have an optimal reservoir operation, reports show we still need more accurate models which include all effective parameters to have more forecasting accuracy than traditional linear models (ARMA and ARIMA). Thus, hybridization of models was employed for improving the accuracy of flow forecasting. Moreover, various forecasters including large-scale climate signals were tested to promote forecasting. This paper focuses on testing MARMA-NARX hybrid model to enhance the accuracy of monthly inflow forecasts. Since the inflow in different periods of the year has in linear and non-linear trends, the hybrid model is proposed as a means of combining linear model, monthly autoregressive moving average (MARMA), and non-linear model, nonlinear autoregressive model with exogenous (NARX) inputs to upgrade the accuracy of flow forecasting. The results of the study showed enhanced forecasting accuracy through using the hybrid model.


2013 ◽  
Vol 791-793 ◽  
pp. 857-860
Author(s):  
Hong Chun Yao ◽  
Liang Yin ◽  
Ming Yu Huang

According to the development status of large-scale PV power station, this paper expatiates the topology and functions of the monitoring and control system of large-scale PV power station, The system consists of monitoring center, fiber optic ring network and control subnet, and the main functions are SCADA (supervisory control and data acquisition), AGC (automatic generation control), AVC (automatic voltage control), system state assessment, equipment maintenance, and power generation benefit analysis. The system is flexible and reliable, and will promote the efficiency of operation and maintenance of large-scale PV power station.


1987 ◽  
Vol 20 (1) ◽  
pp. 7-17 ◽  
Author(s):  
R A Furness

Pipelines are an integral part of the world's economy and literally billions of pounds worth of fluids are moved each year in pipelines of varying lengths and diameters. As the cost of some of these fluids and the price of moving them has increased, so the need to measure the flows more accurately and control and operate the line more effectively has arisen. Instrumentation and control equipment has developed steadily in the past decade but not as fast as the computers and microprocessors that are now a part of most large scale pipeline systems. It is the interfacing of the new generation of digital and sometimes ‘intelligent’ instrumentation with smaller and more powerful computers that has led to a quiet but rapid revolution in pipeline monitoring and control. This paper looks at the more significant developments from the many that have appeared in the past few years and attempts to project future trends in the industry for the next decade.


Author(s):  
Kassa T. Alemu

This chapter investigates land deals processes and the effects on livelihoods in Gambella and Benishangul-Gumuz. It applies quantitative and qualitative data from primary and secondary sources. It describes the land deals, actors involved, and the effect of the deal on villagers' land rights, food security, job creation, technology transfer, and sustainable use of natural resources. The study concludes that the government effort towards large-scale land deals and agricultural investment is promising. However, there is a gap regarding making the deals a win-win situation for stakeholders. Therefore, it is recommended that the governance of land deals need to be improved, and the capacity of the three actors—the government, investors, and local communities—need to be developed to play their respective roles in the deals. It is also recommended that effective monitoring and control mechanisms related to large-scale agricultural investments should be put in place and properly implemented.


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