scholarly journals A Development of Graphical Interface for Decision Making Process Including Real-Time Consistency Evaluation

2007 ◽  
pp. 130-137
Author(s):  
Joong-Ho Lee ◽  
Ki-Won Yeom ◽  
Ji-Hyung Park
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Time Consistency ◽  
Decision Making Process ◽  
Graphical Interface ◽  
Consistency Evaluation

scholarly journals Real-Time Measurement of Drilling Fluid Rheological Properties: A Review

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3592
Author(s):  
Naipeng Liu ◽  
Di Zhang ◽  
Hui Gao ◽  
Yule Hu ◽  
Longchen Duan
Keyword(s):  
Decision Making ◽  
Rheological Properties ◽  
Real Time ◽  
Drilling Fluid ◽  
Time Measurement ◽  
Decision Making Process ◽  
Rate Of Penetration ◽  
The Real ◽  
Real Time Measurement ◽  
Fluid Properties

The accurate and frequent measurement of the drilling fluid’s rheological properties is essential for proper hydraulic management. It is also important for intelligent drilling, providing drilling fluid data to establish the optimization model of the rate of penetration. Appropriate drilling fluid properties can improve drilling efficiency and prevent accidents. However, the drilling fluid properties are mainly measured in the laboratory. This hinders the real-time optimization of drilling fluid performance and the decision-making process. If the drilling fluid’s properties cannot be detected and the decision-making process does not respond in time, the rate of penetration will slow, potentially causing accidents and serious economic losses. Therefore, it is important to measure the drilling fluid’s properties for drilling engineering in real time. This paper summarizes the real-time measurement methods for rheological properties. The main methods include the following four types: an online rotational Couette viscometer, pipe viscometer, mathematical and physical model or artificial intelligence model based on a Marsh funnel, and acoustic technology. This paper elaborates on the principle, advantages, limitations, and usage of each method. It prospects the real-time measurement of drilling fluid rheological properties and promotes the development of the real-time measurement of drilling rheological properties.

Pervasive Business Intelligence Platform to Support the Decision-Making Process in Waiting Lists

2021 ◽  
pp. 848-863
Author(s):  
Marisa Esteves ◽  
Filipe Miranda ◽  
António Abelha
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Business Intelligence ◽  
Waiting Times ◽  
Waiting Lists ◽  
Decision Making Process ◽  
The North ◽  
Health Institutions ◽  
Private Network ◽  
The Web

In recent years, the increase of average waiting times in waiting lists is an issue that has been felt in health institutions. Thus, the implementation of new administrative measures to improve the management of these organizations may be required. Hereupon, the aim of this present work is to support the decision-making process in appointments and surgeries waiting lists in a hospital located in the north of Portugal, through a pervasive Business Intelligence platform that can be accessed anywhere and anytime by any device connected within the hospital's private network. By representing information that facilitate the analysis of information and knowledge extraction, the Web tool allows the identification in real-time of average waiting times outside the outlined patterns. Thereby, the developed platform permits their identification, enabling their further understanding in order to take the necessary measures. Thus, the main purpose is to enable the reduction of average waiting times through the analysis of information in order to, subsequently, ensure the satisfaction of patients.

Real-Time Fiber-Optic Coiled Tubing Delivered Well Intervention Savings Through Faster Decision-Making Process

2020 ◽  
Author(s):  
Marco Lerose ◽  
Luca Pelusi ◽  
Salvatore Spagnolo ◽  
Marco Scarso ◽  
Marco Colombo ◽  
...  
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Fiber Optic ◽  
Decision Making Process ◽  
Coiled Tubing

scholarly journals Real-Time Decision Making for Autonomous City Vehicles

2010 ◽  
Vol 22 (6) ◽  
pp. 694-701 ◽  
Author(s):  
Andrei Furda ◽  
◽  
Ljubo Vlacic
Keyword(s):  
Decision Making ◽  
Control System ◽  
Real Time ◽  
System Architecture ◽  
Urban Traffic ◽  
Decision Making Process ◽  
Test Results ◽  
World Model ◽  
State Of Research ◽  
Control System Architecture

This paper addresses the topic of real-time decision making by autonomous city vehicles. Beginning with an overview of the state of research, the paper presents the vehicle decision making & control system architecture, explains the subcomponents which are relevant for decision making (World Model and Driving Maneuver subsystem), and presents the decision making process. Experimental test results confirmthe suitability of the developed approach to deal with the complex real-world urban traffic.

scholarly journals Augmented Reality in Esthetic Dentistry: a Case Report

2021 ◽  
Author(s):  
Romane Touati ◽  
Vincent Fehmer ◽  
Maxime Ducret ◽  
Irena Sailer ◽  
Laurent Marchand
Keyword(s):  
Decision Making ◽  
Case Report ◽  
Augmented Reality ◽  
Real Time ◽  
Decision Making Process ◽  
Missing Teeth ◽  
Clinical Procedure ◽  
Complex Patient ◽  
Full Mouth Rehabilitation ◽  
Esthetic Dentistry

Abstract Purpose of Review The aim of this case report was to illustrate the clinical procedure integrating augmented reality (AR) for complex patient cases requiring full mouth rehabilitation. Recent Findings The introduction of AR technology to the fields of medicine and dentistry has led to numerous applications in education, surgery, and esthetics. Recently, a new AR software was introduced in esthetic dentistry which allows for real-time smile projection and thus improves communication with patients and the dental laboratory. Summary The presented case shows a patient with multiple missing teeth, diastemata, and an impaired masticatory and phonetic ability. After reconstruction of the posterior zone, the AR software was used for the conception of the esthetic zone, integrating the patient into the decision-making process. The result was an esthetic rehabilitation applying palatal and buccal veneers which corresponded to the chosen AR design. The patient appreciated the opportunity to pre-visualize a possible final outcome in an interactive way which increased his confidence in the chosen treatment. Further studies are needed to assess the precision and reproducibility of the described protocol.

Evaluating the Impact of Real-Time Mobility and Travel Time Reliability Information on Truck Drivers’ Routing Decisions

2018 ◽  
Vol 2672 (9) ◽  
pp. 164-172 ◽  
Author(s):  
Xiaoqiang Kong ◽  
William L. Eisele ◽  
Yunlong Zhang ◽  
Daren B. H. Cline
Keyword(s):  
Decision Making ◽  
Travel Time ◽  
Real Time ◽  
Traffic Management ◽  
Truck Drivers ◽  
Decision Making Process ◽  
Travel Time Reliability ◽  
Travel Time Prediction ◽  
Binary Logistic Regression Model ◽  
The Impact

This study represents the first research to investigate the impacts of two critical determinants—level of congestion and travel time reliability—on routing decisions with two groups of truck drivers having different levels of awareness of the real-time and the historical traffic conditions on available routes. The research analyzed 14,538 global positioning system devices recording trips on the I-495 crossing through Maryland, Virginia, and Washington, DC, and 2,166 trips in the Dallas area, to explore how truck drivers make routing decisions based on real-time travel time and reliability information by applying a binary logistic regression model. Researchers found that for truck drivers who are not familiar with the historical traffic and travel time conditions on available routes, real-time congestion information is a significant factor in their routing decision-making process, while travel time reliability is not a major consideration. For frequent truck drivers who are familiar with the historical traffic and travel time conditions on available routes, travel time reliability is a significant factor in their routing decision-making process, and traffic congestion information is not a significant factor. These results bring more accuracy to travel time prediction and provide valuable insights into traffic management and reliability performance measures. Moreover, this research provides statistical evidence proving the potential value of delivering travel time reliability information to drivers, traffic management agencies, and navigation map developers.

Sign in / Sign up

Export Citation Format

Share Document