• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.639-649
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• 2021

Background and objective: Various images from visual display terminals (VDTs) as well as living lighting are important parts of our daily life; thus, properly controlling the lighting environment - that is, illuminance, color temperature and good images from VDTs - can have a substantial effect on improving the mental health and work efficiency in everyday life. We examined electroencephalography (EEG) and heart rate variability (HRV) responses to various lighting conditions in 25 university students as they viewed images of a green landscape or traffic congestion. Methods: EEG was performed in darkness and when the room was illuminated with 10 different light-emitting diode (LED) color temperatures, while the EEG and HRV responses to green landscape or traffic congestion image stimuli were measured in darkness and during room illumination with three different LED color temperatures. Results: We found a significant difference between darkness and high LED illumination (400 lx) at 7 (CZ, F4, FZ, O1, O2, OZ, and T6) of 30 channels, while the alpha wave activity increased during darkness. In the second experiment, the green landscape image stimuli in the 30 lx-2600 K lighting condition elicited theta wave activity on the EEG, whereas the traffic congestion image stimuli under high LED illumination elicited high beta and gamma wave activities. Moreover, the subjects exhibited better stress coping ability and heart rate stability in response to green landscape image stimuli under illuminated conditions, according to their HRV. Conclusion: These results suggest that lower color temperatures and illumination levels alleviate tension, and that viewing green landscape image stimuli at low illumination, or in darkness, is effective for reducing stress. Conversely, high illumination levels and color temperatures are likely to increase tension and stress in response to traffic congestion image stimuli.

• Journal of Practical Engineering Education
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• v.8 no.1
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• pp.69-73
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• 2016

While growing interest about university education and quality enhancement, learner's scholastic achievement, learning process, various of learning activity work variable performance of university education. In this context, for quality enhancement of engineering education, it is necessary to pay attention not only learning achievement, educational conditions and environment, but also how students learn. The purpose of this study is checking learning activity in class of Engineering college students and proposing teaching and learning support for promoting learning activity in class. The result of this study is engineering college students were participate in highly only activity is called to professor, but self-directed learning engagements was less than. Activity of promoted thinking about task execution implemented frequently, but activity of critical thinking and applied everyday life were less than. In class students cooperated with colleague learner actively, they had sincere attitude about class. Based on these results, in order to promote learning activity in class, it is necessary sufficient teaching-learning support for learner's self-directed learning and enhancing thinking skills.

• Journal of the Korean School Mathematics Society
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• v.14 no.4
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• pp.443-458
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• 2011

There has been a lively discussion on improving Korean students' academic achievement and the imbalance in their recognition of the value of mathematics. In this context, there is a need for a program that enables the majority students who regards mathematics as a subject for the entrance examination to recognize the practicality and historicity of mathematics. Educational books on mathematics in everyday life or the history of mathematics are also expected to serve as an effective tool. In addition, Web 2.0 Map is another means of representing mathematics in everyday life and the history of mathematics in connection with the practical context. The active storytelling process in which mathematics in the practical context in mathematical educational books is represented in Web 2.0 Map is expected to help to understand in depth the practicality and historicity of mathematics. Nevertheless, mathematical educational books and Web 2.0 Map may lead to a considerable variety of outcomes and speeds if carrying out tasks depending on the student's competence and may have practical difficulties in being operated in class. These concerns, however, can be resolved through the creative activity programs adopted in conformance with the 2009 revised curriculum. Therefore, this study intends to develop a program for creating mathematical story maps through mathematical educational books and the Mashup of Web 2.0 Map in accordance with the process of developing activity programs. This study also intends to determine its effectiveness in enabling students to recognize the practical and historical values of mathematics.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.212-221
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• 2015

This study searched the effect of volunteering activity on democratic citizen consciousness as a mediation of adolescents' leadership living technique. For this, it has been conducted that a survey for 386 middle and high school students in Chungcheongbuk-do. Main analysis results are as follows. First, searching the effect on democratic citizen consciousness, it is analyzed that volunteering activity participation satisfaction level(${\beta}=.215$), learning ability technique(${\beta}=.297$), group activity technique(${\beta}=.145$) have a positive(+) effect. Second, as a result of mediation effect, volunteering activity is confirmed that is meaningful as both a direct effect(.35) on democratic citizen consciousness and an indirect effect($.42{\times}.65=.29$) as leadership living technique and it is appeared as an partial mediation effect. Therefore, in order to improve adolescents' democratic citizen consciousness, active support for volunteering activity and overall efforts which are able to activate the leadership technique in real youth everyday life are necessary.

• The Journal of Korean Physical Therapy
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• v.15 no.2
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• pp.157-167
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• 2003

Falls are a leading cause of injury, disability and death among people older than 65. Even without injury, falls cause a loss of confidence that results in reduced physical activity, increased dependency and social withdrawal. Fall prevention in the eldery people is a multifaced task that includes both the identification of risk factors and their modification strategies. Fall risk factors have been identified as both intrinsic and extrinsic. Intrinsic factors are those related to the physical and cognitive function of the person. Extrinsic factors are those which are included in the environmental hazards of everyday life. Combinations of interventions aimed at modifying both intrinsic and extrinsic risk factors can result in significant fall prevention in the geriatric population. This article selectively reviews the literature reporting exercise intervention to improve strength, balance and mobility.

• Journal of Family Resource Management and Policy Review
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• v.19 no.1
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• pp.93-109
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• 2015

This study explores interpretations of grandmothers' experiences rearing their grandchildren. For this study, 13 participants provided in-depth interview data, which was analyzed according to Spradely's ethnographic method. Based on the pattern of interpretations, nine concepts were classified into three categories: (i) repentance (compulsive decisions, passivity of the childrearing activity, non-compensation); (ii) sorrow (restrictions on everyday life, renunciation of occupational careers, worsened health); and (iii) satisfaction (decreased isolation in old age, proof of existence for their children, intimacy development with their grandchild). The results of this study show that grandmothers have a higher appreciation for the benefits of relational compensation than for personal cost. Some practical implications are suggested to improve family welfare.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.3
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• pp.245-250
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• 2015

Portable devices, such as smart phones and personal digital assistants (PDAs) play an important role in our everyday life. In this paper, we propose a step count algorithm based on SVM(signal vector magnitude) and a adaptive threshold processing to monitor the physical activity. The algorithm measures a user's step counts using the smart phone's inbuilt accelerometer and g sensor. Experiment results showed the proposed algorithm has good performance in accuracy and adaptability than the app on your smart phone.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.129-138
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• 2022

With the increasing reliance of computing systems in our everyday life, there is always a constant need to improve the ways users can interact with such systems in a more natural, effective, and convenient way. In the initial computing revolution, the interaction between the humans and machines have been limited. The machines were not necessarily meant to be intelligent. This begged for the need to develop systems that could automatically identify and interpret our actions. Automatic gesture recognition is one of the popular methods users can control systems with their gestures. This includes various kinds of tracking including the whole body, hands, head, face, etc. We also touch upon a different line of work including Brain-Computer Interface (BCI), Electromyography (EMG) as potential additions to the gesture recognition regime. In this work, we present an overview of several applications of automated gesture recognition systems and a brief look at the popular methods employed.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.6
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• pp.1131-1135
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• 2010

The development of modern civilization result from the abundance of material. Yet modern people live with chronic mild stress. Excessive chronic mild stress leads to various diseases. From the risk of the disease in order to protect our bodies need to manage chronic mild stress. The purpose of this study is to inspection the effectiveness of detecting in chronic mild stress using the Multi-sensor system. The Multi-sensor system is designed that can be measure three kinds of vital signals of chronic mild stress for the detection. First Photoplethysmogram(PPG), second Electro Dermal Activity(EDA), third Skin Temperature(SKT). The ages and occupations exposed to chronic mild stress, people often use out of this system was applied to dairy products(Pen). In addition, vital signals that occur when the variety of noise was used to remove the accelerometer. Chronic mild stress by the analysis of measured vital signals from Multi-sensor system to the measurement information to a PC to a wireless transmission(Bluetooth). In this study, using Multi-sensor system writing conditions and a variety of situations in the movement to measure vital signals and measurement results verified the accuracy and reliability. Through this measure chronic mild stress in everyday life and managing to maintain will help more healthy lifestyle.

• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.151-160
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• 2016

Algorithm education is emphasized as an instrument for teaching the basic principles of Computer Science. But these materials is very short-fall. We'll present the CS Unplugged-based algorithm contents, which is easy to learn for elementary student. These contents for self-directed learning consisted of the activity-based learning. For problem-solving algorithm learning in everyday life we were developed the hashing techniques on the basis of the basic searching and sorting algorithms. For checking the adequacy of these materials were tested by surveys of teacher professional groups, and we obtain the appropriate conclusions for sorting algorithm contents for improving the problem-solving ability for in elementary student.