A decision support capability of the National Operational Environment Model

2012 ◽  
pp. 187-196
Keyword(s):  
Decision Support ◽  
Operational Environment ◽  
Environment Model

The national operational environment model (NOEM)

2011 ◽  
Author(s):  
John J. Salerno ◽  
Brian Romano ◽  
Warren Geiler
Keyword(s):  
Operational Environment ◽  
Environment Model

scholarly journals MULTI-VARIANT DECISION SUPPORT E‐SYSTEM FOR DEVICE AND KNOWLEDGE BASED INTELLIGENT RESIDENTIAL ENVIRONMENT

2007 ◽  
Vol 13 (4) ◽  
pp. 303-313 ◽  
Author(s):  
Jurga Naimavičiene ◽  
Artūras Kaklauskas ◽  
Andrius Gulbinas
Keyword(s):  
Decision Support ◽  
Young People ◽  
Supply And Demand ◽  
Residential Environment ◽  
Family Needs ◽  
Knowledge Based ◽  
Environment Model ◽  
Factors Analysis ◽  
Intelligent Devices ◽  
Selection Of

Intelligent housing is a novelty in Lithuania yet. Such housing is not popular in our country. Specialists of automation claim that such situation occurred not only because people lack knowledge but also because the concept of intelligent housing is interpreted erroneously (most people think that remotely controlled door of garage, for instance, makes their housing intelligent). Intelligent helpers started to emerge in households only recently. Intelligent ambient assisted environment model, created by authors, helps to evaluate intelligent ambient assisted environment by social, cultural, political, legal, economical, technological and environmental factors analysis. Basing on this model also ambient assisted environment supply and demand as well as various criteria evaluation, the system able to select the best intelligent devices alternatives accordingly to each family needs was created. Through analysis of separate parts of an existing household, it is possible to distinguish intelligent devices that I study, ie intelligent lock, intelligent robot‐cleaner, intelligent infant respiratory monitor, intelligent sentinel and intelligent keyboard. Users of intelligent devices are families of young people, who want to save time and who appreciate convenience and innovations. Advantages and benefits of devices used by families of young people are being analysed. In order to provide the best guarantee for rational selection of variants of intelligent devices, decisions must be based on the system of criteria which describes variants of intelligent devices, the decision Support system must reflect consumer requirements to the best possible extent, and the data provided in the system must be real and updated easily. Computer and internet technologies, multi‐variant evaluation methods as well as principles and requirements applicable to favourable residential environment are combined to achieve this goal.

An Agent-Based Battlefield Simulation Framework for Decision Support

2013 ◽  
Vol 336-338 ◽  
pp. 774-778
Author(s):  
You Miao Qu ◽  
Wei Hua Li ◽  
Hua Sheng Chen
Keyword(s):  
Decision Support ◽  
Programming Languages ◽  
Research Field ◽  
Simulation System ◽  
Simulation Framework ◽  
Distributed Information ◽  
Environment Model ◽  
Intelligent Decision ◽  
Battlefield Environment ◽  
Intelligent Decision Support

With the continuous development of information technology, as well as sophisticated reconnaissance technology and developed communications network technology, massive data has been brought into battlefield simulation system. Effective management and use of such massive, distributed information in battlefield simulation, thus turn information superiority into decision superiority, has increasingly become a hot research field. To provide decision support for commanders at all levels in the complex battlefield environment, we need to establish a hierarchical battlefield environment model, and to consider the demand of intelligent decision support during the modeling of battlefield. This paper refines the common characteristic of battlefield simulation systems, proposes a battlefield simulation framework based on multi-agent. Intelligent agent was used to model battlefield troops, which brings in decision support into battlefield simulation system. The framework can be implemented with mainstream programming languages. This framework has advantage in simplicity, versatility and scalability.

INTEGRATION OF FORESTRY DECISION SUPPORT SYSTEMS IN GIS

2012 ◽  
Vol 14 (02) ◽  
pp. 1250014
Author(s):  
STEFANIA PIZZIRANI ◽  
STEPHEN BATHGATE
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Climate Data ◽  
Inventory Data ◽  
Operational Environment ◽  
Landscape Characteristics ◽  
Forestry Industry ◽  
Gis Methods ◽  
The Impact

Landscape characteristics underpin the ability of the forestry industry to deliver in an increasingly complex operational environment. However, the range of site types within the British public forest estate includes many with soil or exposure constraints. Until recently it was not possible to effectively assess the scale of constraints and spatially allocate land appropriately to the objectives suggested by policy makers. Stand level forestry decision support systems have been developed to address these issues but it is difficult to incorporate their outputs into the spatial forest plans, limiting their operational use. The MOTIVE project (EU 7th Framework Programme) provided an opportunity to integrate stand level tools with spatial inventory data. The output is a comprehensive GIS layer containing silvicultural, geophysical and climate data, and site-specific decision support system outputs. This paper describes the climate and inventory data, models, GIS methods, the visualisation of outputs, and the impact on stakeholders.

Decision support framework for evaluating the operational environment of forest bioenergy production and use: Case of four European countries

2016 ◽  
Vol 180 ◽  
pp. 68-81 ◽  
Author(s):  
Špela Pezdevšek Malovrh ◽  
Mikko Kurttila ◽  
Teppo Hujala ◽  
Leena Kärkkäinen ◽  
Vasja Leban ◽  
...  
Keyword(s):  
Decision Support ◽  
European Countries ◽  
Use Case ◽  
Operational Environment ◽  
Bioenergy Production ◽  
Decision Support Framework

scholarly journals A Web–Based Decision Support System for Aircraft Dispatch and Maintenance

Aerospace ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 154
Author(s):  
Hemmo Koornneef ◽  
Wim Verhagen ◽  
Richard Curran
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Relevant Information ◽  
Theory And Practice ◽  
Operational Environment ◽  
Web Based ◽  
Systems Research ◽  
Maintenance Technicians

Aircraft dispatch involves determining the optimal dispatch option when an aircraft experiences an unexpected failure. Currently, maintenance technicians at the apron have limited access to support information and finding the right information in extensive maintenance manuals is a time-consuming task, often leading to technically induced delays. This paper introduces a novel web-based prototype decision support system to aid technicians during aircraft dispatch decisionmaking and subsequent maintenance execution. A system architecture for real-time dispatch decision support is established and implemented. The developed system is evaluated through a case study in an operational environment by licensed maintenance technicians. The system fully automates information retrieval from multiple data sources, performs alternative identification and evaluation for a given fault message, and provides the technician with on-site access to relevant information, including the related maintenance tasks. The case study indicates a potential time saving of up to 98% per dispatch decision. Moreover, it enables digitalization of the—currently mostly paperbased— dispatch decision process, thereby reducing logistics and paper waste. The prototype is the first to provide operational decision support in the aircraft maintenance domain and addresses the lack of correlation between theory and practice often found in decision support systems research by providing a representative case study. The developed custom parser for SGML-based documents enables efficient identification and extraction of relevant information, vastly contributing to the overall reduction of the decision time.

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