A simulation study on real-time parking Guidance

2014 ◽  
Author(s):  
Man Xu ◽  
Zuo Zhang ◽  
Yi Wan ◽  
Li Li
Keyword(s):  
Real Time ◽  
Simulation Study

Validation of an Instrument for Real-Time Assessment of Neonatal Intubation Skills: A Randomized Controlled Simulation Study

2020 ◽  
Author(s):  
Lindie J.M.K. Kuijpers ◽  
Mathijs Binkhorst ◽  
Nicole K. Yamada ◽  
Romy N. Bouwmeester ◽  
Arno F.J. van Heijst ◽  
...  
Keyword(s):  
Construct Validity ◽  
Real Time ◽  
Simulation Study ◽  
Intraclass Correlation ◽  
Intervention Group ◽  
Control Group ◽  
Validity And Reliability ◽  
Patient Simulator ◽  
Randomized Controlled ◽  
Time Assessment

Objective This study aimed to evaluate the construct validity and reliability of real-time assessment of a previously developed neonatal intubation scoring instrument (NISI). Study Design We performed a randomized controlled simulation study at a simulation-based research and training facility. Twenty-four clinicians experienced in neonatal intubation (“experts”) and 11 medical students (“novices”) performed two identical elective intubations on a neonatal patient simulator. Subjects were randomly assigned to either the intervention group, receiving predefined feedback between the two intubations, or the control group, receiving no feedback. Using the previously developed NISI, all intubations were assessed, both in real time and remotely on video. Construct validity was evaluated by (1) comparing the intubation performances, expressed as percentage scores, with and without feedback, and (2) correlating the intubation performances with the subjects' level of experience. The intrarater reliability, expressed as intraclass correlation coefficient (ICC), of real-time assessment compared with video-based assessment was determined. Results The intervention group contained 18 subjects, the control group 17. Background characteristics and baseline intubation scores were comparable in both groups. The median (IQR) change in percentage scores between the first and second intubation was significantly different between the intervention and control group (11.6% [4.7–22.8%] vs. 1.4% [0.0–5.7%], respectively; p = 0.013). The 95% CI for this 10.2% difference was 2.2 to 21.4%. The subjects' experience level correlated significantly with their percentage scores (Spearman's R = 0.70; p <0.01). ICC's were 0.95 (95% CI: 0.89–0.97) and 0.94 (95% CI: 0.89–0.97) for the first and second intubation, respectively. Conclusion Our NISI has construct validity and is reliable for real-time assessment. Key Points

Real-time tumor tracking using implanted positron emission markers: Concept and simulation study

2006 ◽  
Vol 33 (7Part1) ◽  
pp. 2598-2609 ◽  
Author(s):  
Tong Xu ◽  
Jerry T. Wong ◽  
Polad M. Shikhaliev ◽  
Justin L. Ducote ◽  
Muthana S. Al-Ghazi ◽  
...  
Keyword(s):  
Real Time ◽  
Simulation Study ◽  
Tumor Tracking ◽  
Positron Emission

Impact of Real-Time Image Gating on Spot Scanning Proton Therapy for Lung Tumors: A Simulation Study

2017 ◽  
Vol 97 (1) ◽  
pp. 173-181 ◽  
Author(s):  
Takahiro Kanehira ◽  
Taeko Matsuura ◽  
Seishin Takao ◽  
Yuka Matsuzaki ◽  
Yusuke Fujii ◽  
...  
Keyword(s):  
Real Time ◽  
Proton Therapy ◽  
Simulation Study ◽  
Lung Tumors ◽  
Spot Scanning ◽  
Real Time Image ◽  
Time Image

A Simulation Study of Wireless Network Performance

2014 ◽  
Vol 679 ◽  
pp. 176-183
Author(s):  
Ahmad Zulhusny Rozali ◽  
Robert Stewart ◽  
Sean Kennedy
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Wireless Network ◽  
Simulation Study ◽  
Network Performance ◽  
Early Stage ◽  
Reliable Data ◽  
Future Research ◽  
Area Of Interest

WSN technology has now become ubiquitous due to its flexibility, efficiency and affordability. For example the nodes in a WSN can be easily deployed in any targeted area and last for many years. The nodes can supply reliable data from within the environment with minimal disturbance to the target area.However challenges remain in providing real-time communication in some communication hostile conditions. It may not always be possible to leave the sensors in situ but instead data collection is through the use of mobile a WSN. For example as a vehicle fitted with sensing devices passes through an area of interest data is collected and relayed at certain gateway nodes back to a backhaul network for processing.In this paper our aim is to analyse the interference caused by a mobile jammer node to the stationary transmitter and receiver nodes in a network by using the OPNET Modeler software. This is early stage work aimed at developing a mobile WSN node in our future research.

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