http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
손준우,오호상,박명옥 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.
This paper suggests experimental approaches for identifying driver’s cognitive workload using support vector machines (SVMs)with driving performance, physiological response and eye movement data. In order to construct a classification model for detecting high cognitive workload condition, driving simulation experiments were conducted. For the experiments, 30participants (15 younger males in the 25-35 age range (M = 27.9, SD = 3.13) and 15 older males in the 60-69 (M = 63.2, SD =1.74)) drove a simulated highway in a fixed-base driving simulator. While driving through 37 km of straight highway, participants conducted three levels of cognitive secondary tasks, i.e. an auditory delayed digit recall task, at specified segments for 10minutes and their driving performance, physiological response and eye movement data were collected. In this study, the model performances with different combination of measures were assessed with the nested cross-validation method. As a result, it was demonstrated that the proposed SVM models were able to identify driver’s cognitive workload with high accuracy. The best performance was achieved with a combination of the standard deviation of lane position (SDLP), physiology and gaze information. The best model obtained 89.0% accuracy, sensitivity of 86.4% and specificity of 91.7%
Tuning of electrical properties in correlated transition metal oxides for electronics
손준우 한국공업화학회 2016 한국공업화학회 연구논문 초록집 Vol.2016 No.0
Correlated transition metal oxides have attracted considerable attention due to a remarkable array of functionalities that stem from the strong correlations between the localized transition metal valence d electrons. One of the representative functionalities in transition metal oxides includes abrupt phase transition under external stimuli, e.g. metal-insulator transition, in correlated electron systems. The uniques property can be applicable to the electronic devices for steep electronic switch, such as the logic and memory devices with high on/off ratio, the selector devices for 3D cross point memory. In this presentation, I will represent our recent result to realize unconventional electronic devices, such as the steep selector devices and synaptic analog devices for neuromorphic application, using correlated oxides, such as NbO2, NdNiO3 etc.
Impact of Traffic Environment and Cognitive Workload on Older Drivers’ Behavior in Simulated Driving
손준우,이용태,김만호 한국정밀공학회 2011 International Journal of Precision Engineering and Vol. No.
As the use of in-vehicle technologies became more popular, there is concern about a concomitant increase in driver distraction arising from their use. While the introduction of voice recognition systems is intended to reduce the distraction due to manual operation of these units, a significant proportion of the distraction associated with their use may arise not from the manual manipulation but rather the cognitive consequences. It is also known that the risk of inattentive driving varies with age. In this study, the impact of cognitive workload and traffic environments on older drivers' behavior was investigated in a driving simulator. To assess the impact of advancing age on driving performance degradation under a dual task condition, the performance of 63 drivers, divided into younger (20–29) and older (60–69) age groups, was evaluated. The authors also considered driving behavioral differences in the context of urban and highway driving, appropriately counterbalanced. At a specified location in the two scenarios, subjects were asked to complete a series of auditory tasks of increasing complexity. Comparisons of younger and older drivers’ driving performance, including forward velocity, speed control, standard deviation of lane position and steering wheel reversal rate, were conducted. Results indicated that age and traffic environment impact both driving performance and compensatory behavior during dual task conditions.