Analysis of Train Interference Test

ICTE 2013 ◽  
2013 ◽  
Author(s):  
Qian Zhang ◽  
Yan Xuan ◽  
Lan Wang ◽  
Xing Fang ◽  
Hongmei Li
Keyword(s):  
2007 ◽  
Author(s):  
David Anthony Hutchinson ◽  
Najiya Kuramshina ◽  
Ali Chingiz Oglu Sheydayev ◽  
Simon N.J. Day

Author(s):  
Kun Chen ◽  
Zhiwei Shi ◽  
Shengxiang Tong ◽  
Yizhang Dong ◽  
Jie Chen

There is an obvious aerodynamic interference problem that occurs for a quad tilt rotor in near-ground hovering or in the conversion operating condition. This paper presents an aerodynamic interference test of the quad tilt rotor in a wind tunnel. A 1:35 scale model of the quad tilt rotor is used in this test. To substitute for the ground, a moveable platform is designed in a low-speed open-loop wind tunnel to simulate different flight altitudes of the quad tilt rotor in hovering or forward flight. A rod six-component force balance is used to measure the loads on the aircraft, and the flow field below the airframe is captured using particle image velocimetry. The experimental results show that the ground effect is significant when the hover height above the ground is less than the rotor diameter of the quad tilt rotor aircraft, and the maximum upload of the airframe is approximately 12% of the total vertical thrust with the appearance of obvious fountain flow. During the conversion operating condition, the upload of the airframe is reduced compared with that in the hovering state, which is affected by rotor wake and incoming flow. The aerodynamic interference test results of the quad tilt rotor aircraft have important reference value in power system selection, control system design, and carrying capacity improvement with the advantage of ground effect.


2012 ◽  
Vol 16 (1) ◽  
pp. 21-28
Author(s):  
Hanna Okuniewska ◽  
Agnieszka Maryniak

The Effects of Age on Stroop Interference in Clinical vs. Healthy Groups of Children The Stroop task is widely used to assess attentional dysfunction due to a frontal or frontoparietal deficit and is also thought to be related to the maturation of the prefrontal cortex. The study aimed to prove the diagnostic usefulness of the Polish Names and Colors Interference Test (TINiK) in a clinical setting and to investigate the pattern of performance on four TINiK subtasks according to the type of brain damage (focal or diffuse) and age of the patients. A total of 107 subjects (62 female, 45 male) aged 11-18 were divided into two groups: children aged 10;4-14;6 and adolescents aged 14;7-17;10 within each diagnostic category: healthy (H - 35), heterogeneous focal brain damage (BD - 36) and cardiac arrhythmia (CA - 36). The number of correct responses in the 60s time limit was collected for each TINiK task. The H group significantly outperformed both clinical groups. The H and CA groups show improvement of performance systematically with age on all TINiK subtasks although at a different level. The BD group displayed merely non-significant developmental improvement especially among the adolescent group. A discriminant analysis using the four basic TINiK scores was able to significantly differentiate the BD from the H group (83.1%) and the BD from the CA group (74.6%), but less well the CA from the H group (63.9%). TINiK has acquired preliminary neuro-psychological validation in Polish children. Developmental improvement in interference control may be hampered by various neuropathological mechanisms which are yet to be identified.


Author(s):  
Besse Arnawisuda Ningsi ◽  
Ani Putriyani

The purpose of this study was to find out how many factors were formed through the reduction process, to determine which factors most dominantly influence consumer interest in using KRL Commuter Line transportation services, to find out how much influence the most dominant factors influence consumer interest in using KRL Commuter transportation services Line. In this study, the Factor Analysis method was used with principal component analysis techniques using SPSS software. 7 stages of factor analysis, namely: (1) formulating a problem, (2) Variable Interference Test, (3) forming a correlation matrix, (4) determining factor analysis methods, (5) extracting factors, (6) rotating factors, and (7) interpret factors. Based on the results of the study, the number of factors formed from the reduction process is 7 factors. Consisting of one factor (F1) with a correlation value of 0.608, factor two (F2) with a correlation value of -0.277, factor three (F3) with a correlation value of -0.246, factor four (F4) with a correlation value of 0.419, factor five (F5) with the correlation value is 0.716, factor six (F6) with a correlation value of -0.392, factor seven (F7) with a correlation value of 0.570. The most dominant factor affecting consumer interest in using KRL Commuter Line transportation services is factor five (F5) with a correlation value of 0.716 or 71.6%.


2021 ◽  
Vol 36 (6) ◽  
pp. 1194-1194
Author(s):  
Maria E Dragulin ◽  
Claudia Jacova

Abstract Objective To understand the role of trait mindfulness acting-with-awareness in the relationship between inhibitory control and ADHD symptom burden. Method We conducted a cross-sectional study with 103 adults, aged 18 to 86, mean age = 46, mean education = 15 years, 46% male. Participants were recruited in North Western Oregon counties. Eligible individuals were aged >18, fluent in English, and with normal global cognition (Montreal Cognitive Assessment, MoCA>22). The presence of ADHD diagnoses/symptoms was not required. Participants were administered the Adult Investigator Symptom Rating Scale (AISRS), the Five Facet Mindfulness Questionnaire (FFMQ) Acting with Awareness, and the DKEFS Color-Word Interference Test (CWIT). We examined the contribution of CWIT (time/sec), acting-with-awareness (AA), and their interaction in age-adjusted multiple regression predicting AISRS total score. Results Descriptives for the measures of interest were AISRS (M = 19.21, SD = 12.72), CWIT (M = 55.66, SD = 15.27), and FFMQ-AA (M = 25.10, SD = 7.17). Both CWIT and FFMQ-AA predicted AISRS when analyzed independently (B = 0.274, p = 0.14, R2 = 0.13 and B = -0.633, p < 0.001, R2 = 0.45). In the combined model, FFMQ-AA (B = -1.06, p = 0.000) but not CWIT predicted AISRS, R2 = 0.47. The interaction was not significant, p = 0.55. Conclusion AA is a powerful predictor of ADHD symptom burden: it accounts for almost half of the variance, and removes any contribution from inhibitory control. Our finding suggests that trait mindfulness has a more important role in shaping ADHD than cognition.


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