Pilot Perception and Control Behavior Models as a Tool to Assess Motion-Cueing Algorithms

Author(s):  
Can Onur ◽  
Umut Ture ◽  
Ugur Zengin
Author(s):  
Ruirui Chen ◽  
Yusheng Liu ◽  
Yue Cao ◽  
Jing Xu

Model Based Systems Engineering (MBSE) is the mainstream methodology for the design of complex mechatronic systems. It emphasizes the application of the system architecture, which highly depends on a formalized modeling language. However, such modeling language is less researched in previous studies. This paper proposes a general modeling language for representing the system architecture, aiming for representing function, physical effect, geometric information and control behavior which the system should satisfy. It facilitates the communication of designers from different technological domains and supports a series of applications such as automatic reasoning, system simulation, etc. The language is illustrated and verified with a practical mechatronic device finally.


2021 ◽  
Vol 112 (2) ◽  
pp. 70-76
Author(s):  
D. Abdulamer

Purpose: The useful data and information during the sand compaction process steps should be collected. Direct measurement methods of the sand mould properties during the actual moulding process are not adopted yet. Design/methodology/approach: In this work, a remote control system [1] have been integrated into a new flowability sensor [2]. Findings: To overcome the complexity of the tools and equipment that existed in laboratory, and in foundry. Research limitations/implications: In order to investigate, and control behavior of the moulding process of bentonite-bonded green sand process, the sensors have been equipped with the Bluetooth technology for a wireless transmission of the measured data to computers. Originality/value: This technique contributes to improve of the compaction process based on the non-destructive tests, enhances prediction of the optimum parameter conditions, and reduced the energy, and the compaction time consumed for the green sand moulding process.


2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Yingying Ma ◽  
Siyuan Lu ◽  
Yuanyuan Zhang

Pedestrians do not always comply with the crossing rules of when and/or where to cross the road at signalized intersections. This risky behavior tends to undermine greatly the effectiveness of safety countermeasures at such locations. Thus, it is very important to understand illegal behavior to develop more effective and targeting measures. In order to address the problem, this paper aimed to analyze characteristics of illegal crossings and their impact on behavior choice. Firstly, illegal crossing behaviors at signalized intersections were classified into two categories, including “crossing at a red light” and “crossing outside of a crosswalk.” Secondly, two sets of data were collected to understand the behaviors. One set of data was collected from video-based observation conducted at 3 signalized intersections in Guangzhou, China, capturing 3334 valid illegal crossing cases in total. Another set of data, from a questionnaire survey conducted online, resulted in 275 valid responses. Finally, presentational characteristics of illegal crossings at signalized intersection were analyzed and two Bayesian network-based behavior models were developed to investigate the characteristics and their impacts on the two types of illegal crossing behaviors, “crossing at a red light” and “crossing outside of a crosswalk,” respectively. Findings reveal that, (i) illegal crossings occur at various types of signalized intersections, with a higher probability for “crossing outside of a crosswalk” compared to “crossing at a red light;” (ii) Arc routing crossing has the highest probability to occur at signalized intersections compared to other types of out-side-crosswalk crossings. (iii) The location of origin and destination of a pedestrian has a significant effect on crossing outside of a crosswalk, the location of origin and destination of “one is inside of a crosswalk and another is outside of a crosswalk” has a highest proportion. These findings provide better understanding of illegal crossings and their impact factors so that the effectiveness of management and control of pedestrians at signalized intersections can be improved.


SIMULATION ◽  
1990 ◽  
Vol 54 (4) ◽  
pp. 201-209 ◽  
Author(s):  
Y.S. Yiu ◽  
G.A. Carling ◽  
R.K. Wood

2020 ◽  
pp. 277-308
Author(s):  
Tom Roeper

In ‘Where are thematic roles? Building the micro-syntax of implicit arguments in nominalizations’, Roeper attempts an approach to capture implicit arguments in a fashion that is closely linked to the projection of verbs. Roeper argues for clitic-like projections that accompany the verb, particularly evident in nominalizations: These separate the lexical Argument-theta projections of the verb from the conditions for projecting Maximal Projections which enter into syntactic operations, while the larger pattern of subject, object, and control behavior remains consistent across the syntax and the lexicon. Roeper argues that bare nominalizations (e.g. a look, a glance, a comment) all carry argument structure capable of motivating syntactic binding. Moreover, argument projections into the Possessive of nominalizations show predictable sensitivity to passive morphemes (-ed, -able) buried inside nominalizations. They allow only an object projection in nominalized Possessives precisely as they do in verbal structures. The theory of Theta-role projection must allow projection of an AGENT to Subject in little v, Subject in TP, and Subject in Possessives, and if acquisition is efficient, it should all follow automatically from UG. Roeper then argues that impersonal passives that appear in a subset of languages call for both special syntax and a special vision of possible integration into discourse structure. <206>


Author(s):  
Meng-Han Tsai ◽  
Kai-Chi Chang ◽  
Chang-Cheng Lin ◽  
Ching-Hao Mao ◽  
Huey-Ming Lee

2019 ◽  
Vol 7 (1) ◽  
pp. 34
Author(s):  
Tri Wahyuarini ◽  
Evi Sofianan ◽  
Syarifah Novieyana

This research used Theory of Planned Behavior’s model to explain factors that caused people to do online shopping by adopting Limayem et al. (2000) research. Limayem’s study explain about factors that caused online shopping behavior especially intention to do online shopping which determined by perception of the consequences of behavior, attitude towards online shopping, personal innovation, subjective norms and control behavior.The main construct of this research also adopted Limayem’s study, namely : intention and behavior to do online shopping. Intention to do online shopping consist of five constructs which are attitude towards online shopping, subjective norms, personal innovation, perception of the consequences of behavior, and control behavior.The main purpose of this research is to examine whether attitude towards online shopping, subjective norms, personal innovation, perception of the consequences of behavior, and control behavior have a positive effect to intention to do online shopping and whether intention to do online shopping have a positive effect to online shopping behavior. Empirical hypothesis are used to proof the main purpose, by using correlation as the data testing tool.The result shows that the 1st hypothesis is proven, which means there is a positive effect of attitude towards online shopping, subjective norms, personal innovation, perception of the consequences of behavior, and control behavior to intention to do online shopping. It is show by signification number 0.000. The result from 2nd hypothesis is also proven, which confirm the positive effect intention to do online shopping with online shopping behavior. But one of the construct was dropped from the early data processing caused by unsatisfactorily validity.


Sign in / Sign up

Export Citation Format

Share Document