• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.2
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• pp.89-103
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• 2015

The purpose of this research attempted to developed the Community Reintegration support Program(H-CRsP) on patients with Spinal Cord Injury(SCI) and identity the effect. To assess the effectiveness of a Hospital based H-CRsP with a comprehensive team approach for treating inpatients with Spinal Cord Injury(SCI), offered by the Korea National Rehabilitation Hospital. Participants with SCI were recruited from the Korean National Rehabilitation Hospital. Twenty-five participants who met inclusion criteria were provided with a H-CRsP. A H-CRsP with modules related to the training of daily living skills, driving, vocations and school support activities, leisure or recreational activities, peer counseling, sexual rehabilitation, and others support activities. The 25 enrolled patients had been treated with average of 6.1 programs 2 times a week for over 2 or 3months. COPM, HADS, WHOQOL-BREF, AD-R were administered before the treatment(pre-test) and also at the time of discharge(post-test) to compare the treatment outcomes in the 25 program participants. Measured level of community integration by CIQ at discharge. The data were analyzed by such statistical methods as frequency and paired t-test analysis. Significant improvements were found on the Occupational Performance and Satisfaction, Acceptance of Disability, Quality of Life score in the COPM, AD-R, WHOQOL-BREF (p<0.05). In addition, 10 of the 25 patients returned to home, work or school. These results demonstrated the effectiveness of the H-CRsP in helping patients with SCI return their communities to which they belong. It considered development of the variety of programs and prepare systematically related system.

• Journal of Navigation and Port Research
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• v.40 no.1
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• pp.27-34
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• 2016

For the prevention of marine casualties, international bodies have mainly focused on strengthening ship's stability and design, maritime education and training, and improving maritime traffic environment. Statistics analysis on marine casualties showed that most of casualties occurred in coastal waters, especially by human elements. In order to review the conformity of existing prevention measures with the result of the statistics analysis, the IMO's SHELL model was applied to the established measures. As a result, ergonomic approaches were needed for the prevention of human errors in coastal waters, so that the priority should be given to the interface between ship's operator and navigational environment. For this study, Rasmussen's SRK pyramid, which showed decision making mechanism of human, and the US Coast Guard's investigation manual on marine casualties concerning the collapse of safe maritime transportation system were reviewed, and the merits and demerits within the risk assessment tools such as IWRAP, PAWSA, ES model, PARK model, and NURI model were also studied. Although the effectiveness of the existing risk assessment models was proved in ports and approaching channels, it is concluded that the need of new models for converting Korean seafarers' qualitative risk to quantitative risk was proposed so as to print hazard maps which make seafarers instinctively recognize comparative hazard levels of coastal waters.

• 대한공업교육학회지
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• v.37 no.2
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• pp.57-75
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• 2012

The purpose of this study was to survey and analyze the recognition and needs of elementary school teachers about STEAM education. Mail and E-mail surveys were conducted for 533 elementary school teachers for the purpose of the study. The following were found results of the study were as follow: First, although elementary school teachers understood positively the necessity of STEAM education, showed average levels of recognition on STEAM education. Second, the rate of the elementary school teachers who had experience in applying STEAM education was low. Third, elementary school teachers required to education closely related to real life, and interesting education according to the direction for STEAM education. Fourth, elementary school teachers asked for the integration centering activities related real life, followed by the integration focusing on thema related to real life, the integrating centering student's needs and interests, and the integration focusing on issues according to the appropriate integration methods for STEAM education. Fifth, elementary school teachers required creative design/problem solving ability, academic performance ability, and interpersonal relationship skills with regard to the ability to develop through STEAM education. Lastly, elementary school teachers demanded the development and distribution of STEAM education, teacher's recognition and attitudes towards STEAM education, teacher's training for STEAM education, the distribution of reference materials and etc in order to stimulate STEAM education.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.535-542
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• 2013

Since case-based reasoning(CBR) has many advantages, it has been used for supporting decision making in various areas including medical checkup, production planning, customer classification, and so on. However, there are several factors to be set by heuristics when designing effective CBR systems. Among these factors, this study addresses the issue of selecting appropriate neighbors in case retrieval step. As the criterion for selecting appropriate neighbors, conventional studies have used the preset number of neighbors to combine(i.e. k of k-nearest neighbor), or the relative portion of the maximum similarity. However, this study proposes to use the absolute similarity threshold varying from 0 to 1, as the criterion for selecting appropriate neighbors to combine. In this case, too small similarity threshold value may make the model rarely produce the solution. To avoid this, we propose to adopt the coverage, which implies the ratio of the cases in which solutions are produced over the total number of the training cases, and to set it as the constraint when optimizing the similarity threshold. To validate the usefulness of the proposed model, we applied it to a real-world target marketing case of an online shopping mall in Korea. As a result, we found that the proposed model might significantly improve the performance of CBR.

• Journal of the Korean Chemical Society
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• v.53 no.6
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• pp.653-662
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• 2009

Developing effective tools for predicting absorption, distribution, metabolism, excretion properties and toxicity (ADME/T) of new chemical entities in the early stage of drug design is one of the most important tasks in drug discovery and development today. As one of these attempts, support vector machines (SVM) has recently been exploited for the prediction of ADME/T related properties. However, two problems in SVM modeling, i.e. feature selection and parameters setting, are still far from solved. The two problems have been shown to be crucial to the efficiency and accuracy of SVM classification. In particular, the feature selection and optimal SVM parameters setting influence each other, which indicates that they should be dealt with simultaneously. In this account, we present an integrated practical solution, in which genetic-based algorithm (GA) is used for feature selection and grid search (GS) method for parameters optimization. hERG ion-channel inhibitor classification models of ADME/T related properties has been built for assessing and testing the proposed GA-GS-SVM. We generated 6 different models that are 3 different single models and 3 different ensemble models using training set - 1891 compounds and validated with external test set - 175 compounds. We compared single model with ensemble model to solve data imbalance problems. It was able to improve accuracy of prediction to use ensemble model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.169-177
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• 2020

In South Korea, the results of R&D in science and technology are submitted to the National Science and Technology Information Service (NTIS) in reports that have Korea national science and technology standard classification codes (K-NSCC). However, considering there are more than 2000 sub-categories, it is non-trivial to choose correct classification codes without a clear understanding of the K-NSCC. In addition, there are few cases of automatic document classification research based on the K-NSCC, and there are no training data in the public domain. To the best of our knowledge, this study is the first attempt to build a highly performing K-NSCC classification system based on NTIS report meta-information from the last five years (2013-2017). To this end, about 210 mid-level categories were selected, and we conducted preprocessing considering the characteristics of research report metadata. More specifically, we propose a convolutional neural network (CNN) technique using only task names and keywords, which are the most influential fields. The proposed model is compared with several machine learning methods (e.g., the linear support vector classifier, CNN, gated recurrent unit, etc.) that show good performance in text classification, and that have a performance advantage of 1% to 7% based on a top-three F1 score.

• Journal of the Korean Society of School Health
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• v.22 no.1
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• pp.33-48
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• 2009

Purpose: The purpose of the study was to find the strategies of mental health screening in school. Based on the literature review, we discuss the importance of screening students in schools for mental health problems. Methods: Data from the 2008 Korean Mental Health Screening in Schools(2008-KMHSS) are used to estimate the outline of this screening. We administered the questionnaire for satisfaction of 2008-KMHSS for students(N=1,280), parents(N=2,672), school nurses(N=75), teachers(N=685), district personnels(N=6), and mental health center staffs(N=37). Also we interviewed a part of them by telephone and e-mail. And we reviewed the tools and methods for screening students for emotional/behavioral problems. Results: Mental health screening in schools is a very important, yet worrisome, agenda that is in its very early stages. From the 2008 Korean Mental Health Screening in Schools, 9,588 students(12.9%) needed more evaluation in the first stage. Of these, 6,910(72.1%) completed the second stage screening. In this sample, 1,975(28.6%) utilized the mental health services in school or community. 38.3% of students and 43.7% of their parents notified the 2008-KMHSS. But only 12.1% of students and 10.9% of their parents dissatisfied with the screening. 9.9% of teachers and 22.7% of school nurses dissatisfied with the screening. Among them the school nurses were mostly dissatisfied, and they complained work burden from KMHSS. Mental health center staffs complained similar issues. The Children's Problem-behavior Screening Questionnaire(CPSQ) and Adolescents' Mental-health & Problem-behavior Screening Questionnaire(AMPQ) were compatible to screen students in schools for mental health problems in first stage. Conclusion: Mental health screening in schools needs careful planning and implementation. For successful mental health screening in schools, several elements need to be considered: careful planning, collaboration, staff training, and integrative mental health programs and services in community or schools.

• Communications of Mathematical Education
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• v.24 no.1
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• pp.107-122
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• 2010

Mathematically gifted students' emotional changes during Mathematical Olympiad training camp were studied. The emotions of the gifted during the camp were fluctuated significantly by comparing their test scores with other camp attendants, while the morale was high at the beginning. The camp attendants were likely to overcome disappointment resulting from bad scores with putting more efforts on studying, which means their self-assessments for their mathematical talents are not affected by test results. From what characterizes the emotional changes of the gifted, we conclude as follows: First, they tend to be positive on grouping classes depending on the mathematical ability. Second, careful emotional supports and care were needed in ability grouping education. Third, it is important to let the gifted have more chances to communicate with other camp attendants. It is recommended to induce the gifted to put their focus on the learning goal. Fifth, the proper environment helps the gifted be indulged in studying mathematics.

• The Korean Nurse
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• v.36 no.3
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• pp.49-69
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• 1997

The urgent needs to establish hospice care systems in Korea arise from the following reasons: 0) a drastic increase in chronically ill patients with the increase of aged population: (2) rapid changes in living environment from the traditional habitation (e. g., Many Koreans living in apartment complexes, which is the most popular form of modern residence in recent years, prefer to die in the hospital.): the overall increase in patients with advanced cancer: (4) recent trends in early discharge of terminally ill patients from the limited hospital facilities to accomodate other medical insurance beneficiaries; (5) easy acceptance of euthanasia owing to the recent social atmosphere that belittles the dignity of human life; (6) medical and nursing care of AIDS patient in terminal stage; (7) and the problem associated with inhumane medical care system, overtreatment, and groundless fears against narcotics. Terminally ill patients were used to be treated in the hospital in the past. In these days, however, they are forced to have home cares with little assistance from the qualified medical personnel because of insufficient hospital facilities, which are even short for the need of emergency patients and provide priority cares to medical insurance beneficiaries with other acute problems. And yet, neither are there any administrative organizations nor systematic medical studies that deal with the level of terminally ill patient's need, their family's problems and resources of hospice care systems in Korea. Thus, most patients are not able to get appropriate medical care at the terminal stage of their lives. The objective of this study is to make comprehensive database for various hospice care organization currently in operation, link them through medical information system, and develop an easily accessible hospice care model that meets the need of most Korean people. Our survey results may be summarized as follows: Nationally there are 40 organizations that provide partial or full hospice care. However, these organizations are not linked to any formal medical service network. Furthermore, the objective of hospice care, care principles, personnel with appropriate training, educational programs, standard for care, costs, consulting service to patients' family members, the extent of medical care from professional staff members, status of hospice facility, and management of those institutions are neither clearly defined nor organized compared to the international hospice care standards. The surveys on patients of terminal stage. grouped in hospice and non-hospice care patients. reveal what they want visiting nursing care to help their pain control. psychological. social and spiritual demands. While the more than 90% of hospice care patients want to reduce their pains. the non-hospice care patients. in addition to their desire for pain control. demanded more psychological. social and spiritual helps as well. The results of this research could be utilized to 0) define the standard of hospice care. (2) provide the guidance for hospice medical care costs. (3) establish the database of hospice care systems. (4) develop softwares. (5) build communication network through Medinet. and (6) provide an organized visiting home nursing care system. These information should be a valuable resource to many medical staffs who are involved in cancer therapy. nursing care. and social welfare programs.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.5
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• pp.599-604
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• 2005

This paper presents fuzzy rules to predict diagnosis of Wisconsin breast cancer with minimized number of feature in put using the neural network with weighted fuzzy membership functions (NEWFM) and the non-overlap area distribution measurement method. NEWFM is capable of self-adapting weighted membership functions from the given the Wisconsin breast cancer clinical training data. n set of small, medium, and large weighted triangular membership functions in a hyperbox are used for representing n set of featured input. The membership functions are randomly distributed and weighted initially, and then their positions and weights are adjusted during learning. After learning, prediction rules are extracted directly from n set of enhanced bounded sums of n set of small, medium, and large weighted fuzzy membership functions. Then, the non-overlap area distribution measurement method is applied to select important features by deleting less important features. Two sets of prediction rules extracted from NEWFM using the selected 4 input features out of 9 features outperform to the current published results in number of set of rules, number of input features, and accuracy with 99.71%.