• 공학교육연구
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• 제16권2호
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• pp.50-57
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• 2013

공학 교육에서 물리학의 중요성에도 불구하고, 실제로 공과대학 학생의 물리학습 수행과 관련된 연구는 비교적 적은 편이다. 물리학습의 수행과 관련된 선행연구 결과에 의하면 물리학습에 대한 인지적 신념과 동기 신념은 물리학습에 강하게 영향을 미친다. 본 연구는 공과대학 학생의 물리학습에 대한 인지적 신념과 동기 신념에 대한 교수자의 기대와 공과대학 학생의 인식 비교를 통해서, 교육적 시사점을 얻고자 하였다. 물리학습에 대한 인지적 신념과 동기 신념의 5가지 하위 차원 중에서, 교수자의 기대와 공과대학 학생의 인식에서 가장 큰 차이를 보인 차원은 기대 차원이었다. 교수자들은 공과대학 학생들이 물리학습에 대해서 자신감을 가지기를 바라는데 비해서, 학생들의 자신감과 기대는 낮은 수준이다. 공과대학 학생에게 물리학을 가르치는 교수자는 이러한 차이를 인식하고, 신념적 측면의 정의적 영역에 관심을 가지고 지도할 필요가 있다. 또한, 공과대학 학생의 물리학습 수행에서의 과제 수행 능력에 대한 신념, 물리학에 대한 목적, 중요성, 흥미 등을 이끌 수 있는 교수 학습 전략을 고안할 필요가 있다.

• 대한산업공학회지
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• 제40권3호
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• pp.325-332
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• 2014

High cognitive workload decreases a driver's ability of judgement and response in traffic situation and could result in a traffic accident. Electrocardiography (ECG) has been used for evaluation of drivers' cognitive workload; however, individual differences in ECG response corresponding to cognitive workload have not been fully considered. The present study developed an evaluation method of individual driver's cognitive workload based on ECG data, and evaluated its usefulness through an experiment in a driving simulator. The evaluation method developed by the present study determined the optimal ECG evaluation condition for individual participant by analysis of area under the receiver operating characteristic curve (AUC) for various conditions (total number of conditions = 144) in terms of four aspects (ECG measure, window span, update rate, and workload level). AUC analysis on the various conditions showed that the optimal ECG evaluation condition for each participant was significantly different. In addition, the optimal ECG evaluation condition could accurately detect changes in cognitive workload for 47% of the total participants (n = 15). The evaluation method proposed in the present study can be utilized in the evaluation of individual driver's cognitive workload for an intelligent vehicle.

• Nuclear Engineering and Technology
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• 제28권5호
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• pp.467-481
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• 1996

An integrated framework of modeling the human operator cognitive behavior during nuclear power plant accident scenarios is presented. It incorporates both plant and operator models. The basic structure of the operator model is similar to that of existing cognitive models, however, this model differs from those existing ones largely in too aspects. First, using frame and membership function, the pattern matching behavior, which is identified as the dominant cognitive process of operators responding to an accident sequence, is explicitly implemented in this model. Second, the non-task-related human cognitive activities like effect of stress and cognitive biases such as confirmation bias and availability bias, are also considered. A computer code, OPEC is assembled to simulate this framework and is actually applied to an SGTR sequence, and the resultant simulated behaviors of operator are obtained.

• Journal of Information Processing Systems
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• 제13권2호
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• pp.417-427
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• 2017

Power allocation is an important factor for cognitive radio networks to achieve higher communication capacity and faster equilibrium. This paper considers power allocation problem to each cognitive user to maximize capacity of the cognitive systems subject to the constraints on the total power of each cognitive user and the interference levels of the primary user. Since this power control problem can be formulated as a mixed-integer nonlinear programming (NP) equivalent to variational inequality (VI) problem in convex polyhedron which can be transformed into complementary problem (CP), we utilize modified projection method to solve this CP problem instead of finding NP solution and give a power control allocation algorithm with a subcarrier allocation scheme. Simulation results show that the proposed algorithm performs well and effectively reduces the system power consumption with almost maximum capacity while achieve Nash equilibrium.

• Advances in nano research
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• 제13권2호
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• pp.175-186
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• 2022

This study is a randomized pretest-posttest design that aims to investigate the effect of early entrepreneurship education on cognitive and non- early entrepreneurship education, non-cognitive skills, creativity, self-efficacy, Bizworld cognitive skills of male sixth-grade primary school students. A total of 45 students were selected by multi-stage random sampling method and were assigned randomly to experimental, active-control and control groups. The experimental group received entrepreneurship education based on the Bizworld entrepreneurship program. The results indicate that early entrepreneurship education had an effect on non-cognitive skills (such as risk taking propensity, creativity, self-efficacy, persistence and need for achievement. It seems that early entrepreneurship education is a proper strategy to develop children's non-cognitive skills in late years of primary school. These skills will affect children's individual, educational, social and occupational future and can have long term benefits for students, families and society.

• 대한의용생체공학회:의공학회지
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• 제28권1호
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• pp.55-65
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• 2007

This paper sought to investigate pupil size variability, pupil size parameters in terms of time domain and frequency domain, the autonomic activity change induced by posture change, degree of sleepiness and cognitive task (math task). With a specially designed pupil image acquisition system in the dark room, these three kinds of experiments were performed to induce a dominant state of sympathetic or parasympathetic activation. Electrocardiogram and pupil size were measured in all the experiments. Based on three experiments, we calculated heart rate variability. In the pupil size analysis, we calculated the mean and standard deviation of pupil size (in time domain), and proposed several frequency bands that exhibit different autonomic activation between different sessions. The results indicate that in terms of heart rate variability, posture change exhibited significant differences but not between sleepiness level, or between cognitive task. Pupil sizes differed only during the postures. And we found some frequency bands that correlated with autonomic activation in each experiment. While heart rate variability reflects posture change that need cardiac control, pupil size variability reflects not only posture induced autonomic activation but sleepiness and cognitive load, which is processed in the brain, in time and frequency domain parameter.

• 한국전자파학회논문지
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• 제18권4호
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• pp.448-454
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• 2007

본 논문에서는 CR(Cognitive Radio)의 가장 적합한 인공지능 기술로 주목받고 있는 게임 이론을 전력 제어 방식에 적용해 CDMA 시스템 기반의 사용효율과 효용에 대한 성능 평가 결과를 제시하였다. 사용자와 네트워크 동시 최적화를 위한 효용함수식을 정의하였으며 모의실험을 통해 FOM(Figure of Merit)과 형평성(Fairness)에서 기존의 폐루프 전력 제어 방식보다 월등한 성능을 입증하였다. 또한 게임 이론을 적용한 전력 제어 방식은 통신 환경을 인지하고 연산하여 적합한 최적의 서비스를 제공하는 CR의 여러 분야에 확장 적용 가능함을 제시하였다.

• 공학교육연구
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• 제11권1호
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• pp.5-14
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• 2008

본 연구의 목적은 공학교육에서 구조화된 인지적 성찰일지 적용이 학습자의 메타인지와 학업성취에 어떤 변화가 나타나는지를 분석해 보는 것이다. 연구대상은 수도권 소재 D대학교 공과대학 '기초반도체공학'을 수강하는 학생 총 143(실험집단 52명, 통제집단 91명)명이다. 연구절차는 먼저 두 집단이 메타인지와 학업성취도 측면에서 동질집단임을 검증한후, 실험집단의 경우 구조화된 성찰일지를 4주간 제공하였고 통제집단의 경우 구조화된 인지적 성찰일지를 제공하지 않았다. 그리고 4주가 지난 후 메타인지와 학업성취도를 측정하였다. 연구도구로는 Sperling(2002)의 메타인지 측정문항을 번안하여 사용하였고, 구조화된 인지적 성찰일지를 사용하였다. 연구결과, 구조화된 인지적 성찰일지 제공이 메타인지 능력 지속성 측면에 긍정적인 영향을 주었고, 학업성취 측면에도 긍정적인 영향을 주었다.

• 대한인간공학회지
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• 제32권2호
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• pp.159-165
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• 2013

Objective: The aim of this study was to predict human performance time in finding objects on multi-display monitors using ACT-R cognitive architecture. Background: Display monitors are one of the representative interfaces for interaction between people and the system. Nowadays, the use of multi-display monitors is increasing so that it is necessary to research about the interaction between users and the system on multi-display monitors. Method: A cognitive model using ACT-R cognitive architecture was developed for the model-based evaluation on multi-display monitors. To develop the cognitive model, first, an experiment was performed to extract the latency about the where system of ACT-R. Then, a menu selection experiment was performed to develop a human performance model to find objects on multi-display monitors. The validation of the cognitive model was also carried out between the developed ACT-R model and empirical data. Results: As a result, no significant difference on performance time was found between the model and empirical data. Conclusion: The ACT-R cognitive architecture could be extended to model human behavior in the search of objects on multi-display monitors.. Application: This model can help predicting performance time for the model-based usability evaluation in the area of multi-display work environments.

• Safety and Health at Work
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• 제10권3호
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• pp.321-326
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• 2019

Background: Performing cognitive tasks and muscular fatigue have been shown to increase muscle activity of the lower extremity during quiet standing. A common intervention to reduce muscular fatigue is to provide a softer shoe-surface interface. However, little is known regarding how muscle activity is affected by softer shoe-surface interfaces during static standing. The purpose of this study was to assess lower extremity muscular activity during erect standing on three different standing surfaces, before and after an acute workload and during cognitive tasks. Methods: Surface electromyography was collected on ankle dorsiflexors and plantarflexors, and knee flexors and extensors of fifteen male participants. Dependent electromyography variables of mean, peak, root mean square, and cocontraction index were calculated and analyzed with a $2{\times}2{\times}3$ within-subject repeated measures analysis of variance. Results: Pre-workload muscle activity did not differ between surfaces and cognitive task conditions. However, greater muscle activity during post-workload balance assessment was found, specifically during the cognitive task. Cognitive task errors did not differ between surface and workload. Conclusions: The cognitive task after workload increased lower extremity muscular activity compared to quite standing, irrespective of the surface condition, suggesting an increased demand was placed on the postural control system as the result of both fatigue and cognitive task.