• Korean Institute of Interior Design Journal
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• v.19 no.4
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• pp.48-57
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• 2010

Nowadays, public rental apartments' community facilities emphasize only their quantity aspect without considering residents' characteristics, leading their installation regulations to be based on only the number of households, which is problematic. As a result, in many cases, residents, after moving in, alter the facility usage or remodel the facilities for their use. Hereby, this study conducted focus group interviews with public rental apartments' residents as to find out space conditions of and improvement demands for the community facilities. Two public rental apartment complexes in Seoul and Gyeongi-do which were built after 2007 were selected for this study. As for the survey method, workshop panel was employed. Four people in each age class of infants, children, adolescents, adults, and seniors were formed into one group, and a total of 40 people in 10 groups were surveyed. The survey was continuously conducted from February to March in 2009. The study findings can be summarized as follows. 1) Among community facilities, there were more satisfactory outdoor facilities than satisfactory indoor facilities. Residents expressed satisfaction with the facilities linked with natural environment. The causes of unsatisfactory facilities were mostly poor management. 2) The facilities demanded by the residents included ones relevant to study, exercise, and hobbies. As public rental apartments are resided mostly by low-income families, study and hobby activities bring them cost problems. Therefore, it is needed that the apartment complexes support diverse such activities 3) As for facilities demanded for usage alteration, a residents' meeting room accounted for the most popular opinions. As it was used only once a week, its usage was very low. It should be opened to the residents and allowed to be used in various ways. 4) As for demands of changing spatial characteristics, outdoor exercise facilities accounted for the most opinions. Although they were installed in most cases, they were damaged and poorly managed, therefore being in need of improvement in operation and management. In order to maximally utilize public rental apartments' community facilities, facility planning in consideration of various age groups from residents' viewpoint and sustainable systematic management are required.

• Journal of the Korean Society for information Management
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• v.35 no.2
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• pp.37-62
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• 2018

This study examined the factors affecting the performance of automatic classification based on machine learning for domestic journal articles in the field of LIS. In particular, In view of the classification performance that assigning automatically the class labels to the articles in "Journal of the Korean Society for Information Management", I investigated the characteristics of the key factors(weighting schemes, training set size, classification algorithms, label assigning methods) through the diversified experiments. Consequently, It is effective to apply each element appropriately according to the classification environment and the characteristics of the document set, and a fairly good performance can be obtained by using a simpler model. In addition, the classification of domestic journals can be considered as a multi-label classification that assigns more than one category to a specific article. Therefore, I proposed an optimal classification model using simple and fast classification algorithm and small learning set considering this environment.

• Journal of Forest and Environmental Science
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• v.33 no.4
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• pp.322-329
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• 2017

As a result of contemporary environmental concerns, a number of studies from plants' tissues as one of the alternatives to conventional chemicals are increasingly investigated. In tandem with these trends, Lagenaria breviflora (LB) fruit, reputed as antiviral and depilatory agents in the Yoruba folkloric medicine was examined on Vitex doniana wood to ascertain its antifungal activity. Fungicides of 25%, 50%, 75%, and 100% LB fruits formulations (concentrations) were developed through simple one-step mechanical-forming process, including control. In this study, the yield, the chemical compositions, the absorption capacity of the fungicides and wood weight losses (WWL) analysis were evaluated to investigate the antifungal activity of LB fruit on wood. The fruit extract yielded 35.4% of fresh juice weight. LB fruits contained total: alkaloids ($8.78{\pm}0.21mg/mL$), flavonoids ($2.01{\pm}0.02mg/mL$), phenol ($7.42{\pm}0.09mg/mL$), saponins ($11.00{\pm}0.10mg/mL$) and tannins ($5.47{\pm}0.05mg/mL$) contents. All the formulations provided effective protection against the tested wood fungi compared to control. Interestingly, the antifungal activity of 50% and 25% formulations of 6.8% WWL and 9.9% WWL satisfied the excellent fungal resistance class description against white rot fungus (Ganoderma lucidum) and brown rot fungus (Fibroporia vaillantii), respectively according to ASTM D 2017. These results thus, support LB fruit as a strong potential source of natural antifungals for industrial wood production.

• The Research Journal of the Costume Culture
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• v.27 no.5
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• pp.512-523
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• 2019

Contemporary University students are considered the Z generation who were born after 1995. They are more tech savvy than millennials. To target the generation, traditional class management platforms have evolved to smart LMS that is more customized and accessible for smart devices. Global level information search and collaboration can also be implemented using such smart LMS. However, switching from one LMS to another LMS requires great effort from teachers and support from staffs. This study measured the learners' perception of the system when they were exposed to a new smart-LMS. Blackboard Learn Ultra was used for 15 weeks and at the end of the semester, a questionnaire was administered to the students of these classes. Results indicated that experience with previous LMS discouraged students from adopting Blackboard Learn. Result of TAM modeling indicated that perceived usefulness, compared to perceived ease of use and attitude, was an effective aspect to bring positive acceptance of the system. A qualitative approach and network analysis were also conducted based on students' responses. Both positive and negative responses were detected. Inconvenience due to mechanical aspects was mentioned. Dissatisfaction compared to previous local LMS use was also mentioned. Mobile application and communication effectiveness were positive aspects. Revised course development and promoting how useful the system may help enhance the acceptance of the new system.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.245-256
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• 2021

The Fourth Industrial Revolution brought the quantitative value of data across the industry and entered the era of 'Big Data'. This is due to both the rapid development of information & communication technology and the diversity & complexity of customer purchasing tendencies. An enterprise's core competence in the Big Data Era is to analyze and utilize the data to make strategic decisions for enterprise. However, most of traditional studies on Big Data have focused on technical issues and future potential values. In addition, these studies lacked interest in managing the quality and utilization levels of internal & external customer Big Data held by the entity. To overcome these shortages, this study attempted to derive influential factors by recognizing the quality management information systems and quality management of the internal & external Big Data. First of all, we conducted a survey of 204 executives & employees to determine whether Big Data quality management, Big Data utilization, and level management have a significant impact on corporate work efficiency & corporate management performance. For the study for this purpose, hypotheses were established, and their verifications were carried out. As a result of these studies, we found that the reasons that significantly affect corporate management performance are support from the management class, individual innovation, changes in the management environment, Big Data quality utilization metrics, and Big Data governance system.

• The Journal of Korean Association of Computer Education
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• v.20 no.6
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• pp.1-15
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• 2017

The purpose of this study is to design a LMS(Learning Management System) dashboard for instructor feedback support based on learning analytics and to apply a LMS dashboard incorporating such taxonomy which allows an instructor to give a student personalized feedback according to the class content and a student's traits. In the dashboard design phase, usable instructional data were selected from LMS based on feedback taxonomy in terms of learning analytics. Two validity tests were conducted with 8 instructional technologists over 8 years of experience, and were revised accordingly. The final dashboard screen has three parts: A comprehensive analysis screen to provide appropriate feedback based on instructor feedback taxonomy analysis, a summary screen for learner analysis, and a recommended feedback guide screen. Detailed analysis information are provided through other dashboards that are displayed in eight screens: login analysis, learning information confirmation analysis, teaching materials learning analysis, assignment/tests, and posts analysis. All of these dashboards were represented by analysis information and data based on learner analytics through visualization methods including graphs and tables. The implications of educational utilization of the dashboard for instructor feedback support based on learning analytics and the future researches were suggested based on these results.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.133-142
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• 2003

Recently Internet addiction problems of teenagers are so serious that the education to solve the problems are required in school. However, teachers are suffering difficulties to intervene students' Internet addiction because they do not have expert knowledge about student counselling and Internet addiction problems. In this study, in order that nonprofessional teachers in student counselling can consult easily a student who is addicted to Internet. we developed consulting contents consisted of twelve weeks consulting activities and the student consulting support system about Internet addiction problems. This system offers the consulting contents module for teachers and the information management module for students. For the experimental operation of the system and contents. we made a consocium of twenty primary and secondary schools. We selected a students who is most serious in Internet addiction problem in the school We made a class teacher counsel a student individually by applying the system. Thereafter, we analyzed the effects of consultation and presented the results.

• Journal of Chest Surgery
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• v.26 no.2
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• pp.141-147
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• 1993

A total of 40 patients having a diagnosis of atherosclerotic coronary arterial disease were analysed on the operative outcomes according to variables as follows: 1) preoperative risk factors such as age, sex, CCS (Canadian Cardiovascular Society) functional class, type of angina, number of diseased vessel, presence of left main coronary artery stenosis, previous history of habitual smoking and presence of other medical diseases (diabetes mellitus, essential hypertension), 2) preoperative management such as intravenous infusion of nitroglycerine, preoperative IABP (intra-aortic balloon pump) support and whether the operation was scheduled as emergency or not, 3) intraoperative variables such as infusion method and composition of cardioplegic solutions, number of distal anastomosis, use of internal mammary artery, total cardiopulmonary bypass time and total cross clamp time. Complications included operative death in 12.5％, perioperative myocardial infarction in 25.0％ and perioperative arrhythmia in 17.5％. Nineteen perioperative variables were analyzed to identify risk factors for these end points. For operative death, presence of left main coronary artery stenosis (p = 0.056) and cardiopulmonary bypass time (p = 0.029) were significant in the univariate analysis, but presence of left main coronary artery lesion (p = 0.011, $\chi$$^2$= 6.45) and abscence of preoperative of IABP support (p = 0.069, $\chi$$^2$ = 3.30) were independent predictor in multivariate analysis (stepwise linear logistic regression).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.5
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• pp.859-876
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• 2010

In this paper, we propose a hierarchical application traffic classification system as an alternative means to overcome the limitations of the port number and payload based methodologies, which are traditionally considered traffic classification methods. The proposed system is a new classification model that hierarchically combines a binary classifier SVM and Support Vector Data Descriptions (SVDDs). The proposed system selects an optimal attribute subset from the bi-directional traffic flows generated by our traffic analysis system (KU-MON) that enables real-time collection and analysis of campus traffic. The system is composed of three layers: The first layer is a binary classifier SVM that performs rapid classification between P2P and non-P2P traffic. The second layer classifies P2P traffic into file-sharing, messenger and TV, based on three SVDDs. The third layer performs specialized classification of all individual application traffic types. Since the proposed system enables both coarse- and fine-grained classification, it can guarantee efficient resource management, such as a stable network environment, seamless bandwidth guarantee and appropriate QoS. Moreover, even when a new application emerges, it can be easily adapted for incremental updating and scaling. Only additional training for the new part of the application traffic is needed instead of retraining the entire system. The performance of the proposed system is validated via experiments which confirm that its recall and precision measures are satisfactory.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.317-327
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• 2011

This study examined with a view to legal system how to get over the adaptation problem as well as protection of human right about the cases of marriage immigration have sharply increased in Korea through Globalization and this brought about serious matters to multi-cultural families : disguise marriage, contract marriage, frequent divorces, especially conflict, violence, maltreatment of couple is guaranteed efficiently include against mankind universal value regardless of race, class, region undergoing farm village female marriage immigrants by cultural difference. This study is when the families of the marriage immigrants are left unattended in the state of the crisis, it definitely seems to be a serious obstacle for social integration and cost vast social expense. Therefore, I suggest the problems of multi-culture family support law and improvement plans for Marriage bureau agency management law and nationality Act through a comparative method about legislation of each country which has dealt with a phenomenon called 'multi-cultural Society' and fact-finding of female marriage immigrants in Gwang-ju Metropolitan City, professing "the city of human right".