scholarly journals Modeling and visualization of the forecast trajectory for the decision support system for controlling the movement of a river displacement vessel

2021 ◽  
Vol 2131 (3) ◽  
pp. 032033
Author(s):  
R E Galeev ◽  
A V Soloviev ◽  
Y S Fedosenko
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Integrated Control ◽  
Software Implementation ◽  
Control Panel ◽  
Safe Distance ◽  
Digital Twin ◽  
Real Scene ◽  
Technical Measures

Abstract An approach to dynamic modeling of the predicted trajectory of movement of a displacement vessel and its continuous visualization on an electronic panel is considered, superimposed on the actual digital twin of the real scene of the environment along the course of the vessel. The hardware and software implementation of the developed approach as a decision support system for the navigator in the form of a standard option of the integrated control panel located in the wheelhouse provides an opportunity to objectively assess the safe distance to potential navigation obstacles within the ship’s course at the free distance of the vessel by means of combined visualization. As part of the organizational and technical measures to ensure the safety of navigation, the proposed innovative approach to continuous joint visualization of the digital twin of the current scene of the surrounding sailing situation and the predicted trajectory of the vessel’s movement acquires significant importance in the operation of automatic vessels as an option for the supervisor to intervene in the operation of an integrated automatic control system in complex navigating conditions.

scholarly journals UML-МОДЕЛЮВАННЯ СИСТЕМИ ПРИЙНЯТТЯ РІШЕНЬ В МЕДИЧНИХ НАУКОВИХ ДОСЛІДЖЕННЯХ

2015 ◽  
Author(s):  
V. P. Martsenyuk ◽  
I. Ye. Andrushchak ◽  
О. M. Kuchvara
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Medical Research ◽  
Support System ◽  
Systems Analysis ◽  
Software Implementation ◽  
Decision Making Process

There was fulfilled systems analysis of decision making process for systemic medical research. The structure of the system was analysed. There were executed project research with help of UML-tools, allowing to fulfill project and software implementation of decision support system.

scholarly journals Digital twin-driven decision support system for opportunistic preventive maintenance scheduling in manufacturing

2021 ◽  
Vol 55 ◽  
pp. 439-446
Author(s):  
Anis Assad Neto ◽  
Bruna Sprea Carrijo ◽  
João Guilherme Romanzini Brock ◽  
Fernando Deschamps ◽  
Edson Pinheiro de Lima
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preventive Maintenance ◽  
Maintenance Scheduling ◽  
Digital Twin

scholarly journals A Decision Support System for Urban Agriculture using Digital Twin: A Case Study with Aquaponics

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Adam Ghandar ◽  
Ayyaz Ahmed ◽  
Shahid Zulfiqar ◽  
Zhengchang Hua ◽  
Masatoshi Hanai ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Urban Agriculture ◽  
Support System ◽  
Digital Twin

scholarly journals MODEL OF THE INVESTMENT PROCESS IN CYBER SECURITY DEVELOPMENT FOR BUILDING A DECISION SUPPORT SYSTEM

2019 ◽  
Vol 2 (6) ◽  
pp. 154-163
Author(s):  
Hennadii Hulak ◽  
Valeriy Lakhno
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cyber Security ◽  
Critical Infrastructure ◽  
Software Implementation ◽  
Optimal Decision ◽  
Topical Problem ◽  
The Creation ◽  
Investment Process

The topical problem of making the optimal decision on financing pro-jects in the field of cybersecurity in the conditions of active actions of cybersecu-rity violators is considered. A model has been developed for a decision support system for financing projects for the creation and development of cybersecurity management centers for critical infrastructure facilities. The model assumes meth-ods and means of actively countering the attacking side. In contrast to existing approaches, the model is based on solving a bilinear differential quality game with several terminal surfaces. A discrete approximation method was used in the solution. This made it possible to find a solution to the bilinear differential quality game with dependent movements. The results of a computational experiment within the framework of the software implementation of a decision support sys-tem in the field of financing projects in the field of cybersecurity, in particular, in the creation and development of cybersecurity management centers for critical in-frastructure facilities are described. The developed decision support system al-lows obtaining optimal financing strategies by the side of cybersecurity protec-tion. In this case, any ratio of parameters describing the financing process is con-sidered, no matter how financially the attacker (hackers) acted.

scholarly journals A Digital Twin Decision Support System for the Urban Facility Management Process

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8460
Author(s):  
Armir Bujari ◽  
Alessandro Calvio ◽  
Luca Foschini ◽  
Andrea Sabbioni ◽  
Antonio Corradi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Smart City ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Facility Management ◽  
Activity Level ◽  
Digital Twin ◽  
Area Of Interest

The ever increasing pace of IoT deployment is opening the door to concrete implementations of smart city applications, enabling the large-scale sensing and modeling of (near-)real-time digital replicas of physical processes and environments. This digital replica could serve as the basis of a decision support system, providing insights into possible optimizations of resources in a smart city scenario. In this article, we discuss an extension of a prior work, presenting a detailed proof-of-concept implementation of a Digital Twin solution for the Urban Facility Management (UFM) process. The Interactive Planning Platform for City District Adaptive Maintenance Operations (IPPODAMO) is a distributed geographical system, fed with and ingesting heterogeneous data sources originating from different urban data providers. The data are subject to continuous refinements and algorithmic processes, used to quantify and build synthetic indexes measuring the activity level inside an area of interest. IPPODAMO takes into account potential interference from other stakeholders in the urban environment, enabling the informed scheduling of operations, aimed at minimizing interference and the costs of operations.

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