Does automation trust evolve from a leap of faith? An analysis using a reprogrammed pasteurizer simulation task

In Thailand, concerns over the imperative need to improve its citizens’ English proficiency and the unsatisfactory English learning outcomes have long been present. In addition, ongoing globalization has raised another concern that Thainess is being eroded due to external influences. This study attempted to compromise these two seemingly conflicting forces by enhancing Thai students’ global English and maintaining local Thainess associated with three regions of Thailand. First, a set of instructional innovations for elementary English education was constructed in each region. These were based on prominent characteristics of local Thainess elicited through a questionnaire completed by local community members and subsequently implemented in Grade 4 classes at three schools in each region of Thailand for ten weeks. Next, two separate sets of pretests-posttests corresponding to each instructional set were constructed and administered to assess their local Thainess and English knowledge. Finally, to ensure that the knowledge gained from the instruction was put into practical use, a tour guide simulation task was conducted by the students. The analysis of the test scores demonstrates that localized lessons were beneficial, enhancing their local Thainess knowledge and associated English vocabulary. The accomplishment of the task thus represented their knowledge of local Thainess and English, contributing to a sense of pride in their nation and a sense of achievement in their English proficiency and instruction.

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Research on Co-simulation Task Scheduling Based on Virtualization Technology under Cloud Simulation

AsiaSim 2012 - Communications in Computer and Information Science ◽

10.1007/978-3-642-34390-2_48 ◽

2012 ◽

pp. 421-430 ◽

Cited By ~ 5

Author(s):

Chen Yang ◽

Xudong Chai ◽

Faguang Zhang

Keyword(s):

Task Scheduling ◽

Virtualization Technology ◽

Simulation Task

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Representativity and univocity of traffic signs and their effect on trajectory movement in a driving-simulation task: Regulatory signs

Journal of Safety Research ◽

10.1016/j.jsr.2018.06.007 ◽

2018 ◽

Vol 66 ◽

pp. 101-111 ◽

Cited By ~ 7

Author(s):

Jose Luis Vilchez

Keyword(s):

Driving Simulation ◽

Traffic Signs ◽

Simulation Task

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Training of laparoscopic novices both individually and in dyads using a simulation task

Journal of Robotic Surgery ◽

10.1007/s11701-019-00927-0 ◽

2019 ◽

Vol 14 (1) ◽

pp. 29-33

Author(s):

Francesca B. Seal ◽

Wenjing He ◽

David Pinzon ◽

Bin Zheng

Keyword(s):

Simulation Task

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Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control

International Journal of Advanced Pervasive and Ubiquitous Computing ◽

10.4018/ijapuc.2017100103 ◽

2017 ◽

Vol 9 (4) ◽

pp. 33-77

Author(s):

Tao Gao

Keyword(s):

Electric Vehicle ◽

Hybrid Electric Vehicle ◽

Practical Significance ◽

Pollutant Emission ◽

Series Hybrid Electric Vehicle ◽

Parameter Matching ◽

Hybrid Electric ◽

Future Direction ◽

Long Endurance ◽

Simulation Task

Hybrid electric vehicle (HEV) is a kind of new cars with low fuel consumption and low emissions, which combines the advantages of traditional vehicle's long endurance and no-pollution of pure electric vehicles. It represents the future direction of development of vehicle for a period of time. Therefore, the research of HEV technology has important practical significance to the development of China's automobile. This paper takes Shijiazhuang bus as the research object, makes parameter matching according to the parameters of the vehicle, builds the vehicle model using Cruise software, set the simulation task, and studies the control strategy to reduce automobile fuel and pollutant emission targets. The research of this paper has certain directive significance to the modeling and energy optimization of hybrid electric vehicle.

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Ecologic validity in neuropsychological assessment: Prediction of wayfinding

Journal of the International Neuropsychological Society ◽

10.1017/s1355617701766039 ◽

2001 ◽

Vol 7 (6) ◽

pp. 675-682 ◽

Cited By ~ 27

Author(s):

MARNIE J. NADOLNE ◽

ANTHONY Y. STRINGER

Keyword(s):

Sex Education ◽

Neuropsychological Assessment ◽

Real World ◽

Visual Memory ◽

Specific Criterion ◽

Directional Orientation ◽

Good Internal Consistency ◽

The Right ◽

Simulation Task ◽

Route Navigation

This study compared the ability of clinical and ecologic simulation measures to predict performance on environment-specific criterion measures of wayfinding. Thirty-one unilateral stroke participants comprised the right and left hemisphere groups (16 patients with left sided and 15 patients with right sided strokes). Participants completed a battery of clinical tasks (e.g., traditional paper-and-pencil measures of visualization, mental rotation, visual memory and spatial orientation), ecologic simulations (e.g., slide route recall and visualization of a model town from differing perspectives) and environment specific criterion tasks (e.g., route recall and directional orientation). The groups were equivalent in age, sex, education, handedness, and weeks since stroke. Both ecologic simulation tasks were found to have fairly good internal consistency and 1 simulation task was significantly related to real world wayfinding. Of the clinical tasks, 1 visual memory test was correlated with a directional orientation criterion task, but none correlated with route navigation ability. Results are consistent with literature purporting the benefits of ecologic simulation tasks as predictors of real world functioning. (JINS, 2001, 7, 675–682.)

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Gas Turbine Cycle Design Methodology: A Comparison of Parameter Variation With Numerical Optimization

Volume 2: Aircraft Engine; Marine; Microturbines and Small Turbomachinery ◽

10.1115/98-gt-343 ◽

1998 ◽

Cited By ~ 5

Author(s):

Joachim Kurzke

Keyword(s):

Gas Turbine ◽

Numerical Optimization ◽

Graphical Representation ◽

Thermodynamic Cycle ◽

Parameter Variation ◽

Parameter Study ◽

Design Point ◽

Optimization Task ◽

Gas Turbine Cycle ◽

Simulation Task

In gas turbine performance simulations often the question arises: What is the best thermodynamic cycle design point? This is an optimization task which can be attacked in two ways: One can do a series of parameter variations and pick from the resulting graphs the best solution or one can employ numerical optimization algorithms that produce a single cycle which fulfills all constraints. The conventional parameter study builds strongly on the engineering judgement and gives useful information over a range of parameter selections. However, when values for more than a few variables have to be determined while several constraints are existing, then numerical optimization routines can help to find the mathematical optimum faster and more accurately. Sometimes even an outstanding solution is found which was overlooked while doing a preliminary parameter study. For any simulation task a sophisticated graphical user interface is of great benefit. This is especially true for automated numerical optimizations. It is quite helpful to see on the screen of a PC how the variables are changing and which constraints are limiting the design. A quick and clear graphical representation of trade studies is also of great advantage. The paper describes how numerical optimization and parameter studies are implemented in a Windows-based PC program. As an example, the cycle selection of a derivative turbofan engine with a given core shows the merits of numerical optimization. The parameter variation is best suited for presenting the sensitivity of the result in the neighborhood of the optimum cycle design point.

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