• Journal of the Korean Home Economics Association
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• v.32 no.3
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• pp.63-70
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• 1994

This study investigated the factors influencing married men's time allocation in child care. A multidimensional theoritical approach employing the perspectives of economic efficiency time availability and role ideology was employed to explain variations in fathers' participation in child care. In addition the effects of several socio-demographic variables were investigated. The sample was drawn from the National Survey of Families and Households (NSFH) conducted in 1987-1988 by the Center for Demography and Ecology in University of Wisconsin-Madison. Results indicated that the time availability perspective was significantly supported and the economic efficiency perspective was partially supported. On the other hand no singificant evidence was found for the effect of role ideology on fathers' child care time. Overall demographic variables had a nonsignificant effect (except in the case of age) on the amount of fathers' participation in child care.

• Journal of The Korean Association of Information Education
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• v.15 no.3
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• pp.399-411
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• 2011

In the existing researches about the Internet and mobile phone addition for primary and secondary school students, the major addiction testing measurements are personal parameters such as obsession, self-efficacy, and self-control and environmental parameters such as parents, friends, schools, community factors, and mass media. Those researches have focused on the interaction objects between a student and him/herself, parents, friends, schools, or society. While the importance of time perspective has increased recently, there have rarely been the research that had focused on it in education arena. In this paper, we analyze how time perspective influences the Internet and mobile phone addiction levels of primary and middle school students. In order to do that, we surveyed 619 primary and middle school students and analyzed the results in this paper. And then, we renew the relative importance among existing factors for the two addictions and propose the way to prevent the two addictions.

• Journal of Communications and Networks
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• v.15 no.5
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• pp.504-513
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• 2013

Communication in delay tolerant networks (DTNs) relies on message transport by mobile nodes, and a correct understanding of the node mobility characteristics is therefore crucial to the design of an efficient DTN routing protocol. However, previous work has mainly focused on uncovering all behaviors of node movement, which is not conducive to accurately detecting the specific movement characteristics of a different node. In this paper, we seek to address this problem based on a consideration of social relationships. We first consider social ties from both static and dynamic perspectives. For a static perspective, in addition to certain accidental events, social relations are considered for a long time granularity and tend to be stable over time. For a dynamic perspective, social relations are analyzed in a relatively short time granularity and are likely to change over time. Based on these perspectives, we adopted different efficient approaches to dividing node pairs into two classes, i.e., familiar and unfamiliar pairs. A threshold approach is used for static social ties whereas a density-based aggregation method is used for dynamic social relationships. Extensive experimental results show that both familiar and unfamiliar node pairs have the same inter-contact time distribution, which closely follows a power-law decay up to a certain point, beyond which it begins to exponentially decay. The results also demonstrate that the inter-contact time distribution of familiar pairs decays faster than that of unfamiliar pairs, whether from a static or dynamic perspective. In addition, we also analyze the reason for the difference between the inter-contact time distributions of both unfamiliar and familiar pairs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.643-661
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• 2018

This paper proposes a novel algorithm for lane detection based on inverse perspective transformation and Kalman filter. A simple inverse perspective transformation method is presented to remove perspective effects and generate a top-view image. This method does not need to obtain the internal and external parameters of the camera. The Gaussian kernel function is used to convolute the image to highlight the lane lines, and then an iterative threshold method is used to segment the image. A searching method is applied in the top-view image obtained from the inverse perspective transformation to determine the lane points and their positions. Combining with feature voting mechanism, the detected lane points are fitted as a straight line. Kalman filter is then applied to optimize and track the lane lines and improve the detection robustness. The experimental results show that the proposed method works well in various road conditions and meet the real-time requirements.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.1
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• pp.41-49
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• 2022

This paper proposes a novel lane detection algorithm based on inverse perspective transformation and machine learning in lightweight embedded system. The inverse perspective transformation method is presented for obtaining a bird's-eye view of the scene from a perspective image to remove perspective effects. This method requires only the internal and external parameters of the camera without a homography matrix with 8 degrees of freedom (DoF) that maps the points in one image to the corresponding points in the other image. To improve the accuracy and speed of lane detection in complex road environments, machine learning algorithm that has passed the first classifier is used. Before using machine learning, we apply a meaningful first classifier to the lane detection to improve the detection speed. The first classifier is applied in the bird's-eye view image to determine lane regions. A lane region passed the first classifier is detected more accurately through machine learning. The system has been tested through the driving video of the vehicle in embedded system. The experimental results show that the proposed method works well in various road environments and meet the real-time requirements. As a result, its lane detection speed is about 3.85 times faster than edge-based lane detection, and its detection accuracy is better than edge-based lane detection.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.341-349
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• 2020

The present study aims to investigate the sequential mediation model in the relationships between optimistic bias, subjective perception, risk perception, and the future time perspective in terms of a particulate matter and depression, using the sequential mediation model. An online self-reported survey was conducted on 545 participants who agreed to participate in the current study. We considered depression as a dependent variable, optimistic bias as an independent variable, and subjective perception of particulate matter, the risk perception of particulate matter, future-time-perspective as mediators. The sequential mediation analysis was conducted using the SPSS Macro. The results show that optimistic bias was not directly related to depression, but was related to indirect paths through the subjective perception of particulate matter, the risk perception of particulate matter, and future time perspective. More specifically, the lack of optimistic bias was related to a tendency to subjectively perceive the quality of air pollution more seriously and a limited future time perspective, which subsequently related to depression. Future studies should pay more attention to the effects of particulate matter on the quality of life and mental health.

• Journal of Elementary Mathematics Education in Korea
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• v.18 no.3
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• pp.379-397
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• 2014

According to Kant, time is integral to all human cognitive experiences. Human beings perceive things in the frame of time. Phenomena are perceived in successive way or in coexistent way. In this paper, I argue that the perspective of temporality and atemporality can be a framework to consider the issues of teaching and understanding of mathematical knowledge. Significance of temporal inquiry of atemporal phenomena is discussed with examples of mathematical expressions and geometric figures. Significance of atemporal inquiry of temporal phenomena is also discussed with examples of the sum of natural numbers, geometric pattern, and the probability of two events. Teachers should understand the potential of mathematical tasks from the perspective of temporality and atemporality and provide students with opportunities to inquire temporal phenomena atemporally and atemporal phenomena temporally.

• Journal of Fashion Business
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• v.11 no.4
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• pp.221-231
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• 2007

SCM system is required inter-industrial cooperation as well as inter-organizational cooperation. It means not only standardization of inter-organization but also standardization of inter-industry. SCM makes possible one circulation from fiber to retail industry in the respects of information and product flows. QR is the SCM of textile apparel industry, which satisfy customer need with least cost and maximum profit. Customer-oriented supply chain system focused on information sharing, cost reduction, inventory control, lead time reduction, quick response on customer demand. How we can measure the performance of successful SCM is issued on the approach of Balanced Scorecard which evaluates 4 perspectives such as customer perspective, internal business perspective, financial perspective, and innovation and learning perspective. This can project the blueprint of textile fashion business to right direction with vision.

• Journal of Science Education
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• v.41 no.1
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• pp.111-134
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• 2017

The purpose of this study was to develop 'Silver Care Expert' STEAM Program for the elementary students and investigate the effects of the program on creative thinking activity, scientific attitude and leadership. Participants were 110 elementary school students. Before and after the program, the participants were asked to take the test about future time perspective, career awareness and scientific attitude. The major results of this study were as follows. First, the total score of experimental group's future time perspective and all 2 sub-domains was significantly improved than those of comparative group(p<.05). Second, total score of experimental groups' career awareness and all 4 sub-domains were significantly increased than those of comparative group after the STEAM program(p<.05). Third, the total score of experimental groups' scientific attitude and all 7 sub-domains were significantly improved than those of comparative group(p<.05). Fourth, according to students' post-program opinions, experimental group students showed very positive perception like that science class was very interesting and they became interested in science and technology. In conclusion, 'Silver Care Expert' STEAM Program was very effective to improve elementary students' future time perspective, career awareness, scientific attitudes.

• Korean Journal of Culture and Social Issue
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• v.21 no.4
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• pp.671-696
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• 2015

The purpose of this study is to explore the effect of individual difference variables on emotional change after indirect trauma among elderly. After Sewolho Accident in South Korea, we invested emotion of the elderly and collected the same variables from the same sample two months after the accident. In study, we examined how social support, depression, future time perspective, and active aging affect emotion of elderly and which emotions are affected by these four variables. As a result, when compared to the counterpart, those with lower perceived social support, future time perspective, and active aging and higher depression level experienced lower levels of positive emotion and higher level of negative emotion after indirect disaster experience. Overall, we could certify that social support, future time perspective, and active aging functioned as protective factors, whereas depression functioned as a risk factor. Implications and limitations for our findings were discussed.