• Journal of the Korean Geographical Society
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• v.31 no.3
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• pp.508-528
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• 1996

The purpose of this study is to analyze the classification of the hierarchy in terms of centrality and the demarcation of shopping areas in the context of goods-purchasing activity in the Kyeong-ju si area (The old Kyeong-ju city and Wol-song Kyn). The basic data for this study include mail questionnaire materials and sources by the on-the-sport survey. The main results of this study are as follows. (1) When forty-two centers within the wide Kyeong-ju area are classified into hierarchies in terms of the functional index and the number of central functions, it is confirmed that there are five hierarchies or classes. Hierachy A is the City of Kyeong-ju. Hierarchy B is the Up of An-gang. Hierarchy Cis made up of three Up of Kam-p'o, Oe-dong and Kon-ch' on. Hierachy D consist of seven Myons and two Ris. Hierarchy E is composed of one Myon and twenty-seven Ris. (2) Hierarchy A has five proper functions of the center. Hierarchy B holds eleven of them. Hierarchy C takes forty-one. Hierarchy D cherish twenty-seven. And hierarchy E has three. Therefor Hierachies C and D have the most functions of all. The threshold populations of the lowest central function is fifty-eight of miscellaneous stores in the central place of Hierarchy E (3) The purchase distance of the central functions of a center becomes farther in the order of barbers' and beauty salons, dental clinics, TV and refrigerator shops, and furniture stores. (4) When the shopping areas are classified according to goods purchase activity, they can be divided into four: the Myon, small Up, big Up, and City areas. Each shopping area can be classified into two categories: the independent areas and compoung areas. The Kyeong-ju city area is the largest city shopping areas of Po-hang and Ull-san are very small.

• Journal of the Korean Society for Marine Environment & Energy
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• v.12 no.1
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• pp.29-34
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• 2009

For several decades, many researchers have been involved in developing recycling methods for FRP boats. There are four basic classes of recycling covered in the literature. Despite of environmental problems(safety hazards), mechanical recycling of FRP boats, which involves shredding and grinding of the scrap FRP, is one of the simpler and more technically proven methods than incineration, reclamation or chemical ones. Because FRP is made up of reinforced fiber glass, it is very difficult to break into pieces. It also leads to secondary problem in recycling process, such as air pollution and unacceptable shredding noise level. Another serious problem of mechanical FRP recycling is very limited reusable applications for the residue. This study is to propose a new and efficient method which is more wide range applications and environment friendly waste FRP regenerating system. New system is added with the cyclone sorting machine for airborne pollutions and modified cutting system for several glass fiber chips sizes. It also has shown the FRP chip fiber-reinforced concrete and fiber-reinforced secondary concrete applications with the waste FRP boat to be more eligible than existing recycling method.

• Journal of the Korean Society for Library and Information Science
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• v.11
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• pp.147-183
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• 1984

This is an analytical study on Munheongak (文獻閣) and it's catalogue. The major objective of the study is to get a recognition of Munheongak under the culture of Sukjong (肅宗) period in Korean library history. Most of early studies made on such a category have been concentrated on Jiphyunjeon (集賢殿), Hongmungwan (弘文館), Kyujanggak(奎章閣) and their backgrounds. In this study, the author has invest gated Kungwolji (宮闕志), Munheongakseomg (文獻閣書目) and other materials related to this subject. The findings of the study can be summarized as follows: 1. Munheongak was established by king Sukjong in the 26th year of his reign. According to some records of Kungkwolji, the reason of establishment of the library was to arrange the collection in the Sango (相庫) consisted of various kinds of materials. In case of books, most of them turned out to be Korean books. 2. Munheongak was sited to the estern side of Kyunghyundang (景賢堂), which was located on the Kyungdeokgung (慶德宮). After Youngjo (英祖) the place was called Kyungheuigung (慶熙宮) so as to avoid the name of the precedent king. But these days, both the buildings are not to be found. 3. After its establishment, the library could not play the role as a library because of the then political situation and sectionalism. During the period of the revival of the learning from Youngjo till Jeongjo(正祖) the function of the library was in a stagnant state. Kyujanggak played the part in its place. 4. Referring to the collection management, the Munheongakseomog is equipped with 101 titles, 2,525 volumes, which are arranged by means of the traditional Chinese classification system. 5. The classification scheme is based on the traditional Chinese classification system which might divide all subjects into four categories such as: Confucian classics division, Historical documents division, Master's division, and Collection of literature division. Some illustrations reveal that the classification system was directly influenced by Seogoseomg (書庫書目) : the influence reflected in the classes for the translated literature and writings, poems, genealogy about kings, etc. But some subdivisions such as a class of Annals, Historical Epcerpts were omitted in the classification scheme, which did not strike the balance in the system in terms of the present theory of classification. Most of bibliographical descriptions were also influenced by Seogoseomog but some elements were partly omitted. 6. The special feature of the collection building is the absence of books in Collection of literature division except only three kinds of books in examining the Munheongakseomog. Since this is rather a comprehensive study for such aspects as historical backround, catalogue, and cultural environment of Munheongak and its related record, it is advised that further and additional research should be made.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.2
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• pp.114-124
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• 2014

For classifying fire damaged areas and analyzing burn severity of two large-fire areas damaged over 100 ha in 2011, three methods were employed utilized supervised classification, unsupervised classification and Normalized Difference Vegetation Index (NDVI). In this paper, the post-fire imageries of SPOT were used to compute the Maximum Likelihood (MLC), Minimum Distance (MIN), ISODATA, K-means, NDVI and to evaluate large-scale patterns of burn severity from 1 m to 5 m spatial resolutions. The result of the accuracy verification on burn severity from satellite images showed that average overall accuracy was 88.38 % and the Kappa coefficient was 0.8147. To compare the accuracy between burn severity and field survey at Uljin and Youngduk, two large fire sites were selected as study areas, and forty-four sampling plots were assigned in each study area for field survey. The burn severities of the study areas were estimated by analyzing burn severity (BS) classes from SPOT images taken one month after the occurrence of the fire. The applicability of composite burn index (CBI) was validated with a correlation analysis between field survey data and burn severity classified by SPOT5, and by their confusion matrix. The result showed that correlation between field survey data and BS by SPOT5 were closely correlated in both Uljin (r = -0.544 and p<0.01) and Youngduk (r = -0.616 and p<0.01). Thus, this result supported that the proposed burn severity analysis is an adequate method to measure burn severity of large fire areas in Korea.

• Korean Journal of Remote Sensing
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• v.31 no.5
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• pp.371-384
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• 2015

Although GOCI has potential for land surface monitoring, there have been only a few cases for land applications. It might be due to the lack of reliable land products derived from GOCI data for end-users. To use for land applications, it is often essential to provide cloud-free composite over land surfaces. In this study, we proposed a cloud detection method that was very important to make cloud-free composite of GOCI reflectance and vegetation index. Since GOCI does not have SWIR and TIR spectral bands, which are very effective to separate clouds from other land cover types, we developed a multi-temporal approach to detect cloud. The proposed cloud detection method consists of three sequential steps of spectral tests. Firstly, band 1 reflectance threshold was applied to separate confident clear pixels. In second step, thick cloud was detected by the ratio (b1/b8) of band 1 and band 8 reflectance. In third step, average of b1/b8 ratio values during three consecutive days was used to detect thin cloud having mixed spectral characteristics of both cloud and land surfaces. The proposed method provides four classes of cloudiness (thick cloud, thin cloud, probably clear, confident clear). The cloud detection method was validated by the MODIS cloud mask products obtained during the same time as the GOCI data acquisition. The percentages of cloudy and cloud-free pixels between GOCI and MODIS are about the same with less than 10% RMSE. The spatial distributions of clouds detected from the GOCI images were also similar to the MODIS cloud mask products.

• Journal of Environmental Impact Assessment
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• v.6 no.1
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• pp.77-92
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• 1997

To know of the biological basic method that can improve the environment of the organisms that inhabit at Deokjin Park. We studied the flora and the fauna in Deokjin Park on June, 1996. The study was surveyed and researched according to the items floras, phytoplanktons, insects and vertebrates. The floras are composed of eleven varieties, one forma, eighty-three species, eighty-four genera and forty-nine families. In the lake of Deokjin Park, the dominant species were Nelembo nucifera and Spirodela polyrhiza. The authors thought that those species be artificially excluded in winter for the improvement of the quality of water. The phytoplanktons were composed of forty genera, eighteen families, ten orders and six classes. Among those, Anacystis(=Microcystis) and Anabaena that make eutrophication, were distributed in the lake of Deokjin Park. The fauna of insects were composed of forty-one species, thirty families and eleven orders. The authors observed seven species of fish, two species of amphibian, three species of reptile, seven species of the bird and one species of mammal. Among those, Bull-frog and Blue-turtle as exotic species must be excluded by artificial methods for the other native organisms of the lake of Deokjin Park.

• School Mathematics
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• v.13 no.1
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• pp.127-153
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• 2011

The purpose of this study was to investigate the effect of peer tutoring on mathematical inclination and mathematical communication ability of peer tutor. For the purpose of this study, research questions were established as follows: 1. How does peer tutoring affect to the mathematical inclination of peer tutors? 2. How does peer tutoring affect to the mathematical communication ability of peer tutors? To answer the research questions, four 5th grade peer tutors were selected for qualitative case study in an elementary school located in Goyang-si, Gyeonggi-do. Before and after 11 weeks of peer tutoring in their mathematics classes, mathematical inclination, mathematical communication ability of peer tutors were examined. For qualitative analysis, peer tutors were asked to complete worksheets, self-evaluation, journal for their peer tutoring in daily basis during the experiment. By comparing the scores in mathematical inclination test and mathematical communication test before and after the treatment and analyzing the data gathered for qualitative analysis, the conclusions were drawn as follows: First, Peer tutoring has positive effects on the mathematical inclination of peer tutors. Scores for mathematical inclination of peer tutors after the treatment increased and qualitative analysis showed positive change in their attitude toward mathematics. Second, Peer tutoring has positive effects on the mathematical communication ability of peer tutors. Scores in the performance assessment for mathematical communication ability of peer tutors after the treatment increased. Also qualitative analysis showed that peer tutors tried to develop various ways to solve a problem and explained them to their peer tutee sophisticatedly.

• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.40-51
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• 2007

To improve academic achievement, the most students not only participate in regular classes but also take various extra programs such as private lessons, private institutes, and educational TV programs. In this paper, we propose a data mining approach to identify which studying methods or usual life patterns during a school vacation affect changes in the academic achievement. First, we derive various studying methods and life patterns that are thought to be affecting changes in the academic achievement during a school vacation. Second, we propose the method of transforming and analyzing data to apply them to decision trees and association rules, which are representative data mining techniques. Third, we construct decision trees and find association rules from the real survey data of middle school students. We have discovered four representative results from the decision trees. First, for students in the higher rank, there is a tendency that private institutes give a positive effect on the academic achievement. Second, for the most students, the Internet teaming sites nay give a negative effect on the achievement. Third, private lessons that have thought to be making a large impact to the achievement, however, do not make a positive effect on the achievement. Fourth, taking several studying methods in parallel nay give a negative effect on the achievement. In association rules, however, we cannot find any meaningful relationships between academic achievement and usual life patterns during a school vacation. We believe that our approach will be very helpful for teachers and parents to give a good direction both in preparing a studying plan and in selecting studying methods during a school vacation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4853-4862
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• 2014

The aim of this study was to examine the effects of child-initiated cooking activity on young children's self-efficacy and learning interest. To achieve this, the child-initiated cooking activity and teacher-initiated cooking activity were performed on an experimental group and comparative group, respectively. A total of sixty-eight subjects in 2 classes of 34 four and five year old children in private child-care centers in Chungnam from September 9 to December 31, 2013 were evaluated. The results were as follows. First, the general self-efficacy of the comparative group increased slightly, but that of the experimental group increased significantly, which showed a statistically significant difference in the general self-efficacy. In addition, the child-initiated cooking activity had an effect on the improvement of the cognitive domain, social-emotional domain and physical domain by each sub-factor. Second, the general learning interest of the comparative group increased slightly, but that of the experimental group increased significantly, in which there was a statistically significant difference in the general learning interest. In addition, the child-initiated cooking activity had an effect on the improvement of attention, interest, confidence, conscientiousness and activity interest by each sub-factor. In the findings stated above, the child-initiated cooking activity was an education activity that had a positive effect on the young children's self-efficacy and learning interest.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.10
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• pp.317-322
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• 2020

Due to the development of artificial intelligence, it is used as a disaster response support system in the field of disaster. Disasters can occur anywhere, anytime. In the event of a disaster, there are four types of reports: fire, rescue, emergency, and other call. Disaster response according to the 119 call also responds differently depending on the type and situation. In this paper, 1280 data set of 119 calls were tested with 3 classes of SVM, NB, k-NN, DT, SGD, and RF situation classification algorithms using a training data set. Classification performance showed the highest performance of 92% and minimum of 77%. In the future, it is necessary to secure an effective data set by disaster in various fields to study disaster response.