Sangji Youngseo College

Gangwon, South Korea

Sangji Youngseo College

Gangwon, South Korea
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Kim H.J.,Sangji Youngseo College
Operations Management Research | Year: 2017

This study analyzes the correlation among integrative information technology (IT), supply chain integration (SCI), and firm performance. The results show that integrative IT is positively associated with firm performance through SCI. However, the results of this study show that integrative IT does not have a positive correlation directly with firm performance. It is considered that in the relationship between integrative IT and firm performance, a new approach such as business process-oriented view arguing that performance is yielded through the primary influence of IT is necessary rather than a traditional view that sets up their direct correlations. The findings have the following implications. First, this study presents an endeavor to investigate the consequences of integrative supply chain strategy. Second, this study provides implications in decision making so that supply chain managers can use IT in an effective way. © 2017 Springer Science+Business Media New York

Jo A.,Eulji University | Jeon M.,Sangji Youngseo College | Oh H.,Eulji University
Osong Public Health and Research Perspectives | Year: 2017

Objectives: This study aimed to determine the prevalence of suicidal ideation among young and middle-aged adults, and explore the risk factors that affect suicidal ideation. Methods: A descriptive study design was used for secondary data analysis. A total sample of 5,214 was drawn from two waves (2012-2013) of the 7th Korea Health Panel (KHP) survey. The KHP data were collected by a well-trained interviewer using the face-to-face method during home visits as well as self-report method. Descriptive statistics of frequency, percentage, chi-square test, and logistic regression analysis were performed using SPSS 22.0. Results: The prevalence of suicidal ideation in young and middle-aged adults was 4.4% and 5.6%, respectively. For young adults, suicidal ideation risk was higher among those with low income or heavy drinking habits. In middle-aged adults, low income, poor perceived health status, negative perception of peer-compared health status, and negative social perspective were the major risk factors. Conclusion: There is considerable risk of suicidal ideation in adulthood. Opportunities for increased income, avoidance of heavy drinking, and the construction of positive subjective health status and social perspective should be considered in suicide prevention interventions for Korean young and middle-aged adults. © 2017 Korea Centers for Disease Control and Prevention.

Choi K.,Hansung University | Kim C.,Seoul National University | Kim H.J.,Sangji Youngseo College
Expert Systems with Applications | Year: 2017

This study tracked the static efficiency and dynamic productivity changes of global automakers from 2005 to 2012 using the Variant of Radial Measure (VRM) model and Sequential Malmquist-Luenberger (SML) productivity index. This study attempted to highlight the operations management aspects of the automakers’ overall competitive strategies using multi-firm longitudinal data by looking at groups of automakers from different geographic regions. The analysis results provided general insights on the dynamic capabilities of global automotive industry as well as on the efficiency and productivity of individual automakers. The implications of this study are as follows. First, the annual efficiency of global automakers is sensitive to the internal capacity utilization and external macro- or microeconomic environment surrounding individual automakers. In particular, European automakers tended to show low efficiency caused by overcapacity and low capacity utilization, indicating a need for improving efficiency by adjusting production capacity. Second, this study explores that dynamic capabilities can be used successfully for improving global automaker's efficiency. Therefore, automakers need their specific and unique dynamic capabilities harmonizing internal competencies with external changes to achieving competitive advantage. © 2017 Elsevier Ltd

Chung S.M.,Sangji Youngseo College | Song B.K.,Kangwon National University
Journal of Physical Therapy Science | Year: 2016

[Purpose] The present study aimed to understand characteristics of sensory processing in patients who have experienced a stroke using the previously established, self-diagnostic Adolescent/Adult Sensory Profile (AASP). [Subjects and Methods] Data from 180 total Korean patients who had been diagnosed as having experienced a stroke were collected and analyzed between May and August of 2015. [Results] Average scores for each sensory processing domain were as follows: low registration (32.1), sensation seeking (34.3), sensory sensitivity (36.7), and sensation avoiding (34.0). Study participants exhibited similar scores to healthy controls (data obtained from previous studies) with the following frequencies: low registration (65%), sensation seeking (77.2%), sensory sensitivity (65%), and sensation avoiding (62.2%). Significant differences were observed between control data and scores obtained for study participants in all domains except that of sensory sensitivity. [Conclusion] The results of the present study indicate that therapeutic intervention following the experience of a stroke should account for individual differences in sensory processing abilities to provide the environment most conducive to the patient’s overall cognitive and physical improvement. © 2016 The Society of Physical Therapy Science. Published by IPEC Inc.

Oh J.,Korea Transport Institute | Min J.,Sangji Youngseo College | Heo B.,Sangji Youngseo College
Journal of Advanced Transportation | Year: 2012

Video image processing system (VIPS) is more efficient than other detecting systems. However, VIPS involves outdoor images and is very sensitive to the external environment, which could greatly decrease its accuracy according to rapid environmental changes. To obtain accurate traffic data accordingly, VIPS must address the problems such as growing shadows in transition; distortion of images due to the headlights at night; noises caused by the rain, snow or fog; and occlusions. This study intends to accurately calculate traffic data while addressing the shadow and occlusion problems, which are the most difficult tasks for the image-detector-based traffic data system. In this study, an algorithm for the individual vehicle tracking collection was developed to address the occlusion problem and to eliminate the noises or shadows caused by external environmental factors. A traffic data collection system was also proposed in order to accurately track individual vehicles that pass through the detection region. In addition, establishing an integrated system with shadow removal and occlusion handling using an image processing was also proposed. © 2010 John Wiley & Sons, Ltd.

Choi J.,Kangwon National University | Kim H.J.,Sangji Youngseo College
International Journal of Human-Computer Interaction | Year: 2016

This paper studies the correlation between users’ psychological traits and their social network sites (SNS) usage patterns, and the correlation between SNS usage patterns and the development of social capital as it relates to Facebook. Individual personality traits, including user innovativeness and public individuation, are proposed to be positively correlated with SNS usage patterns such as usage rate and diversification of use. This study specifically classifies social capital into two types—bridging vs. bonding—based on Social Capital Theory, and examines the correlation between SNS usage patterns and social capital development. To investigate the proposed hypotheses of this study, SNS users in Korea were surveyed and a structural equation model was used to analyze and verify the hypotheses. The results showed that users exhibiting both a high degree of innovativeness and public individuation use SNS more frequently and in more diverse ways than users who exhibited lower degrees of innovativeness and public individuation. It was also found that SNS usage patterns are correlated with social capital. The results of this study contribute to SNS-related research work as this study focuses on the development of social capital—a key concept behind the creation and use of SNS—and allows for a deeper understanding of how the psychological traits of individual users affect SNS usage patterns and the development of social capital. This study also offers insights to the corporate sector by providing practical guidelines on how to utilize SNS more effectively. © 2016 Taylor & Francis Group, LLC

Yoon S.-H.,Semyung University | Min J.,Sangji Youngseo College
Journal of Information Processing Systems | Year: 2013

The most important things for a forest fire detection system are the exact extraction of the smoke from image and being able to clearly distinguish the smoke from those with similar qualities, such as clouds and fog. This research presents an intelligent forest fire detection algorithm via image processing by using the Gaussian Mixture model (GMM), which can be applied to detect smoke at the earliest time possible in a forest. GMMs are usually addressed by making the model adaptive so that its parameters can track changing illuminations and by making the model more complex so that it can represent multimodal backgrounds more accurately for smoke plume segmentation in the forest. Also, in this paper, we suggest a way to classify the smoke plumes via a feature extraction using HSL(Hue, Saturation and Lightness or Luminanace) color space analysis. © 2013 KIPS.

Choi Y.M.,Konkuk University | An S.,Konkuk University | Lee E.-M.,Konkuk University | Kim K.,Konkuk University | And 5 more authors.
International Journal of Oncology | Year: 2012

Cytochrome P450 1A1 (CYP1A1) is a member of the cytochrome p450 enzyme family, which is involved in the metabolisms of carcinogenic metabolites, such as benzo(a)pyrene. In this study, we identified miR-892a as a negative regulator of CYP1A1 expression. Luciferase assays revealed a sequence in the 3′-untranslated region of CYP1A1 that displayed a perfect match with miR-892a, and revealed that this sequence was a specific miR-892a target site. The overexpression of miR-892a inhibited the expression of the CYP1A1 protein, and the miR-892a antagonist increased CYP1A1 expression. Of note, benzo(a)pyrene, a major inducer of CYP1A1 transcription, decreased the expression of miR-892a. Moreover, the miR-892a-induced CYP1A1 repression inhibited the benzo(a)pyrene-mediated decrease in cell viability. These data provide insight into the CYP1A1 regulatory network.

Oh J.,Korea University | Min J.,Sangji Youngseo College
Canadian Journal of Civil Engineering | Year: 2011

The image-based incident detection system is capable of not only replacing the loop detector, which has limited management and operation functions, but can also record the sequential conditions before and after a traffic accident. Thus, it is possible to analyze its mechanisms objectively using this data. In this study, the researchers developed a reliable video image based accident detection system with a high detection rate and low error rates. The proposed accident detection algorithm in this study provides the preliminary judgment of potential accident by detecting stopped objects using the Gaussian Mixture Model. Afterwards, it measures the traces of vehicles, the speed variance, and the occupancy per detecting area to propose an algorithm that makes the final accident decision. The proposed algorithm performs accident detection by extracting the stopped objects based on the video image, the trajectory movement of the trailing vehicle, and the variance of speed and traffic volume in the detection area. Thus, it can minimize false detections and maximize the detection rate, making it possible to accurately interpret an accident site and the circumstances surrounding it. Moreover, it is advantageous that the detection rate does not decline under bad weather conditions such as cloudy, rainy, foggy, or snowy.

Lee S.-E.,Chungbuk National University | Sun S.-C.,Chungbuk National University | Choi H.-Y.,Chungbuk National University | Uhm S.-J.,Sangji Youngseo College | Kim N.-H.,Chungbuk National University
Molecular Reproduction and Development | Year: 2012

Mammalian target of rapamycin (mTOR) is central to the control of cell proliferation, growth, and survival in mammalian cells. Prolonged treatment with rapamycin inhibits mTOR complex 2 (mTORC2) activity, and both the mTORC1-mediated S6K1 and 4E-BP1/eIF4E pathways are essential for TORC2-mediated RhoA, Cdc42, and Rac1 expression during cell motility and F-actin reorganization. The functions of mTOR in the mouse oocyte remain unclear, however. The present study shows that rapamycin affects mTOR expression and cytoskeleton reorganization during meiotic maturation of mouse oocytes. mTOR mRNA was expressed in germinal vesicles (GV) until metaphase I (MI), and increased during metaphase II (MII). Immunostaining showed that mTOR localized around the spindle and in the cytoplasm of oocytes. Treatment of oocytes with rapamycin decreased mTOR at the RNA and protein level, and altered asymmetric division. Formation of the actin cap and the cortical granule-free domain were also disrupted after rapamycin treatment, indicating the failure of spindle migration. Injection of an anti-mTOR antibody yielded results consistent with those obtained for rapamycin treatment, further confirming the involvement of mTOR in oocyte polarity. Furthermore, rapamycin treatment reduced the mRNA expression of small GTPases (RhoA, Cdc42, and Rac1), which are crucial regulatory factors for cytoskeleton reorganization. Taken together, these results suggest that rapamycin inhibits spindle migration and asymmetric division during mouse oocyte maturation via mTOR-mediated small GTPase signaling pathways. © 2012 Wiley Periodicals, Inc.

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