• Journal of the Korean Institute of Educational Facilities
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• v.22 no.1
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• pp.25-36
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• 2015

Historically, college campuses have played a role of a city, and the development pattern of various forms and functions of cities was found in the growth stages of campuses as well. In this way, campuses developed in close relationships with our lives and such a characteristic can be confirmed in a number of cases in and out of the country. The strategic concept of such expansion is shown in the strategic classification through a master plan. This research examines concepts of major universities in the metropolitan area of Korea for promoting campus expansion and proposes implications through them. The results drawn from the research are as follows. Firstly, various developmental directions should be sought in aspects of planning, programming and economics for campus expansion with the complex application of such factors. Secondly, the multi-campus strategy of past localization era is changing into the concept of forming a global campus materializing itself as the planning strategy of internal campus. Thirdly, the physical barrier is being dissolved as a way to promote the relationship with local communities, and particularly, the management strategy of constructing new buildings in connection with local communities is the leading measure of materialization. Lastly, the development of underground space is actively carried out due to the limitation of ground physical space through which a role of establishing new campus order along with securing space is pursued.

• Biomedical Science Letters
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• v.5 no.2
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• pp.209-212
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• 1999

For the classification of B. burgdorferi sensu lato strains, PCR-restriction fragment length polymorphism (RFLP) analysis was performed. PCR was carried out with B. burgdorferi sensu lato specific primer set (BB uni set), and amplicons of 470-bp DNA were digested with Alu 1. The Alu I restriction polymorphism of the amplicons provided a useful tool for identifying B. burgdorferi sensu late strains. Both amplicons from B. burgdorferi sensu stricto and B. garinii except HPI strain showed identical RFLP pattern (50 bp, 70 bp, and 150 bp), but amplicons from B. afzelii and B. garinii showed two types of subgroups, respectively. The result of PCR-RFLP using extracted DNAs from ticks was similar to those patterns of B. burgdorferi species including B. afzelii.

• Korean Journal of Biological Psychiatry
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• v.25 no.2
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• pp.38-43
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• 2018

Objectives Dopamine dysregulation has been regarded as one of the core pathologies in patients with schizophrenia. Since dopamine synthesis capacity has found to be inconsistent in patients with schizophrenia, current classification of patients based on clinical symptoms cannot reflect the neurochemical heterogeneity of the disease. Here we performed new subtyping of patients with first-episode psychosis (FEP) through biotype-based cluster analysis. We specifically suggested basal ganglia structural changes as a biotype, which deeply involves in the dopaminergic circuit. Methods Forty FEP and 40 demographically matched healthy participants underwent 3T T1 MRI. Whole brain parcellation was conducted, and volumes of total 6 regions of basal ganglia have been extracted as features for cluster analysis. We used K-means clustering, and external validation was conducted with Positive and Negative Syndrome Scale (PANSS). Results K-means clustering divided 40 FEP subjects into 2 clusters. Cluster 1 (n = 25) showed substantial volume decrease in 4 regions of basal ganglia compared to Cluster 2 (n = 15). Cluster 1 showed higher positive scales of PANSS compared with Cluster 2 (F = 2.333, p = 0.025). Compared to healthy controls, Cluster 1 showed smaller volumes in 4 regions, whereas Cluster 2 showed larger volumes in 3 regions. Conclusions Two subgroups have been found by cluster analysis, which showed a distinct difference in volume patterns of basal ganglia structures and positive symptom severity. The result possibly reflects the neurobiological heterogeneity of schizophrenia. Thus, the current study supports the importance of paradigm shift toward biotype-based diagnosis, instead of phenotype, for future precision psychiatry.

• Fashion & Textile Research Journal
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• v.12 no.4
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• pp.487-493
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• 2010

The objectives of this study were to investigate the progress of obesity in women from childhood to adulthood and to analyze the characteristics of obese figures through comparing their body proportions to normal-weight people, to provide a basic reference for development of new size categories and improved pattern grading. Body measurement was made on 6,704 women age between 7-39 in Sizekorea 2004 database. The age range was divided into three groups: children(7-12), teenagers(13-18) and adults(19-39). The result of research into the characteristics of body proportions of obese figures and the classification of different figure groups of obese people are as follows: The ratio between width and circumference for each part of the body was investigated according to body weight which was grouped into three different weights of low, normal and obese body weights. And the result demonstrated that in all the ranges of age, the obese groups had the lowest ratio between width and circumference, having a thick body shape. And according to the result of comparing the ratio of the circumference of each body part divided by the waist circumference, the obese group also showed a low ratio, indicating that they have bigger waist circumference than any other body parts. By analyzing the ratio of circumference of body parts divided by waist circumference, three factors were identified as contributing to obesity. Using the factor loadings of the upper, distal and lower body obesity, a cluster analysis was carried out and three different categories of obesity were defined; abdominal obesity, distal obesity and proximal obesity.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.543-550
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• 2019

In 2006, Janet Wing defined computational thinking and operated SW education as a formal curriculum in the UK in 2013. This study collected related research papers by using computational thinking, which has recently increased in importance, and analyzed it using text mining. In the first, CONCOR analysis was conducted with the keyword of computational thinking. In the second, text mining of the components of computational thinking was selected by the repr23esentative academic journals at domestic and foreign. As a result of the two-time analysis, first, abstraction, algorithm, data processing, problem decomposition, and pattern recognition were the core of the study of computational thinking component. Second, research on convergence education centered on computational thinking and science and mathematics subjects was actively conducted. Third, research on computational thinking has been expanding since 2010. Research and development of the classification and definition of computational thinking and components and applying them to education sites should be conducted steadily.

• Korean Journal of Environment and Ecology
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• v.24 no.6
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• pp.630-637
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• 2010

This study was carried out to classify forest vegetation structure of Sobaeksan National Park from May to October in 2008 using the methodology of the ZM school's phytosociological analysis. The forest vegetation was classified into 1 community groups such as Quercus mongolica community group. Quercus mongolica community group was subdivided into 3 community such as Pinus densiflora community, Acer barbinerve community and Cornus controversa community. Pinus densiflora community was subdivided into Quercus variabilis group and Tilia amurensis group. Acer barbinerve community was also subdivided into Salix hallaisanensis group and Betula ermani group(subdivided into Taxus cuspidata subgroup and Betula ermani typical subgroup). Artificial forest type indicated 2 communities such as Larix leptolepis community and Pinus koraiensis community. Accordingly, the vegetation pattern of the surveyed areas were classified into 1 community groups, 5 communities, 4 groups, and 2 subgroups and the forest vegetation was classified into 8 units in total. The vegetation unit distributions was strongly correlated with sea level and topography in this research area.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.6
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• pp.38-43
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• 2009

We provide a method to infer finger flexing motions using a 4-channel surface electromyogram (sEMG). Surface EMGs are harmless to the human body and easily acquired. However, they do not reflect the activity of specific nerves or muscles, unlike invasive EMGs. On the other hand, the non-invasive type is difficult to use for discriminating various motions while using only a small number of electrodes. Surface EMG data in this study were obtained from four electrodes placed around the forearm. The motions were the flexion of the thumb, index, middle, ring, and little linger. One subject was trained with these motions and another left was untrained. The maximum likelihood estimation was used to infer the finger motion. Experimental results have showed that this method could be useful for recognizing finger motions. The average accuracy was as high as 95%.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.7
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• pp.190-200
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• 2014

The video-based system of the broadcasters and the video-related institutions have shifted from analogical to digital in worldwide. This migration process can generate a defect, digital dropout, in the quality of the contents. Moreover, there are limited researches focused on these kind of defects and those related have limitations. For that reason, we are proposing a new method for feature extraction emphasizing in the peculiar block pattern of digital dropout based on discrete cosine transform (DCT). For classification of error block, we utilize support vector machine (SVM) which can manage feature vectors efficiently. Further, the proposed method overcome the limitation of the previous one using continuity of frame by frame. It is using only the information of a single frame and works better even in the presence of fast moving objects, without the necessity of specific model or parameter estimation. Therefore, this approach is capable of detecting digital dropout only with minimal complexity.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.1-15
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• 2017

Recently terrorism targets unspecified masses and causes massive destruction, which is so-called Super Terrorism. Many countries have tried hard to protect their citizens with various preparation and safety net. With inexpensive and advanced technologies of sensors, the surveillance systems have been paid attention, but few studies associated with the classification of the pedestrians' trajectories and the difference among themselves have attempted. Therefore, we collected individual trajectories at Samseoung Station using an analytical solution (system) of pedestrian trajectory by LiDAR sensor. Based on the collected trajectory data, a comprehensive framework of classifying the types of pedestrians' trajectories has been developed with data normalization and "trajectory association rule-based algorithm." As a result, trajectories with low similarity within the very same cluster is possibly detected.

• Korean journal of communication and information
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• v.36
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• pp.348-373
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• 2006

In the era of digital media, one of the most distinctive characteristics is the activity what audience play. This characteristic can be particularly demonstrated in the case of PPV(Pay-Per-View) use. Since this service is related with payment by audience according to each behaviour of their own media use. In doing so, this paper explores the characteristics and behavioral pattern in PPV use. In particular, the study tries to predict from the result that which trait of characteristic can explain the adoption of PPV. The analytical result shows that PPV users are much more active in gathering information as well as achieving the diversity in terms of program choice compared to non PPV users. At the same time, PPV users are prone to be unsatisfied against the other media and naturally willing to adopt the new media. PPV users are much more keen to use toward age related programme classification system in order to protect their children from inappropriate programmes. The variable of participational behaviour is the most relevant variable to predict the degree of PPV use, however, it fails to predict to distinguish the PPV users group from non PPV users group. It maybe given as a conclusion that PPV users are much more active in not only choosing their own program they like to watch but also planning ahead for maximising their pleasure from viewing.