Context-Aware Decision Support in Dynamic Environments: Methodology and Case Study

2014 ◽  
pp. 325-334
Author(s):  
Alexander Smirnov ◽  
Tatiana Levashova ◽  
Alexey Kashevnik ◽  
Nikolay Shilov
Keyword(s):  
Decision Support ◽  
Dynamic Environments ◽  
Context Aware

scholarly journals Decision Support for the (Inter-)Basin Management of Water Resources Using Integrated Hydro-Economic Modeling

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 42
Author(s):  
Gerald Norbert Souza da Silva ◽  
Márcia Maria Guedes Alcoforado de Moraes
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Water Allocation ◽  
Hydrological Modeling ◽  
Well Being ◽  
Water Transfer ◽  
Economic Modeling ◽  
Trade Offs ◽  
Study Results

The development of adequate modeling at the basin level to establish public policies has an important role in managing water resources. Hydro-economic models can measure the economic effects of structural and non-structural measures, land and water management, ecosystem services and development needs. Motivated by the need of improving water allocation using economic criteria, in this study, a Spatial Decision Support System (SDSS) with a hydro-economic optimization model (HEAL system) was developed and used for the identification and analysis of an optimal economic allocation of water resources in a case study: the sub-middle basin of the São Francisco River in Brazil. The developed SDSS (HEAL system) made the economically optimum allocation available to analyze water allocation conflicts and trade-offs. With the aim of providing a tool for integrated economic-hydrological modeling, not only for researchers but also for decision-makers and stakeholders, the HEAL system can support decision-making on the design of regulatory and economic management instruments in practice. The case study results showed, for example, that the marginal benefit function obtained for inter-basin water transfer, can contribute for supporting the design of water pricing and water transfer decisions, during periods of water scarcity, for the well-being in both basins.

scholarly journals Sustainable Production in Cement via Artificial Intelligence based Decision Support System: Case Study

2021 ◽  
pp. e00628
Author(s):  
Kübra Tümay Ateş ◽  
Cenk Şahin ◽  
Yusuf Kuvvetli ◽  
Bülent A. Küren ◽  
Aykut Uysal
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Sustainable Production

scholarly journals Context-Aware Adaptation of Component-Based Systems: An Active Repository Approach

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Sindolfo Miranda Filho ◽  
Julio Melo ◽  
Luiz Eduardo Leite ◽  
Guido Lemos
Keyword(s):  
Context Aware ◽  
Current Configuration ◽  
Fuzzy Logic Algorithm ◽  
Running System ◽  
Component Based Software Engineering ◽  
Context Aware System ◽  
The Given ◽  
To Receive ◽  
Component Repository

Context-aware systems are able to monitor and automatically adapt their operation accordingly to the execution context in which they are introduced. Component-based software engineering (CBSE) focuses on the development and reuse of self-contained software assets in order to achieve better productivity and quality. In order to store and retrieve components, CBSE employs component repository systems to provide components to the system developers. This paper presents an active component repository that is able to receive the current configuration from the context-aware system and compute the components and the new architecture that better fit the given context. Since the repository has a wide knowledge of available components, it can better decide which configuration is more suitable to the running system. The repository applies Fuzzy logic algorithm to evaluate the adequacy level of the components and GRASP algorithm to mount the new system architecture. In order to verify the feasibility of our approach, we use a digital TV middleware case study to achieve experimental results.

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