• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.25 no.5
• /
• pp.788-796
• /
• 2001

VR(Virtual reality) technologies have given engineers the ability to design, test, and evaluate engineering systems in a virtual environment. The virtual plant is the highlight of the application of the VR technology to plant engineering. Plant design, maintenance, control, management, operation are integrated in the virtual plant. The VR monitoring system including the concept of the virtual plant is developed to replace a current control room that has number of gages and warning lamps in two-dimensional panels which shows the operating status of a plant. The operating status of the plant is displayed in the VR monitoring system through the realistic computer graphics. Sophisticated, realistic and prompt control becomes possible. The VR monitoring system consists of advanced visualization, walk-through simulation and navigation. In the virtual environment, a user can navigate and interact with each component of a plant. In addition, the user can access the information by just clicking interesting component. The VR monitoring system is operated with various modules, such as (1) virtual plant constructed with Graphic Management System (GMS), (2) Touch & Tell System, and (3) Equipment DB System of Part. In order to confirm the usefulness of the VR monitoring system, a pilot gas plant which is currently being used for plant operator training is taken as application. The end of the paper gives an outlook on the future work and a brief conclusion.

• Journal of KIISE:Software and Applications
• /
• v.32 no.10
• /
• pp.984-989
• /
• 2005

This study aims to identify grammatical relations (GRs) in Korean sentences. The key task is to find the GRs in sentences in terms of such GR categories as subject, object, and adverbial. To overcome this problem, we are fared with the many ambiguities. We propose a statistical model, which resolves the grammatical relational ambiguity first, and then finds correct noun phrases (NPs) arguments of given verb phrases (VP) by using the probabilities of the GRs given NPs and VPs in sentences. The proposed model uses the characteristics of the Korean language such as distance, no-crossing and case property. We attempt to estimate the probabilities of GR given an NP and a VP with Support Vector Machines (SVM) classifiers. Through an experiment with a tree and GR tagged corpus for training the model, we achieved an overall accuracy of $84.8\%,\;94.1\%,\;and\;84.8\%$ in identifying subject, object, and adverbial relations in sentences, respectively.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.1
• /
• pp.66-72
• /
• 2012

The purpose of this study is to examine the eco-systemic factors that affect the married immigrant women's employment. The subjects were 229 married immigrant women who live in Ulsan city. Collected date were analyzed through frequency, percentage, and logistic regression analysis. The results are as follows. The factors that affect the married immigrant women's employment are the education level of husband, acquisition of citizenship, Korean language ability, job training experience, and the support of their parent-in-law. According to these findings, intervention strategies that focus on increasing the married immigrant women's employment are suggested.

• The Journal of the Korea Contents Association
• /
• v.19 no.11
• /
• pp.593-602
• /
• 2019

The healthcare industry, a high-value-added business, continues to grow with the aging of the population and the development of convergence medical technology. In particular, the medical tourism industry is being pushed by advanced countries. Korea is also actively supporting projects to attract international patients. However, there is a lack of prior research on Korea's medical interpreter policy. This study analyzes the current status and problems of medical interpreter policy for international patients, and presents the task. Problems include insufficient policy control towers, lack of links with local governments, lack of expertise of medical interpreters, poor quality of medical interpreting services, and poor treatment of medical interpreters. As improvement measures, it is proposed to establish a policy control tower, strengthen the link with local governments, switch to a medical interpreter system, diversify the language of medical interpreting qualification test, improve the quality of medical interpreting service, internalize the training process for medical interpreter, give preferential treatment to medical interpreters, utilize the nurse, and train multicultural medical personnel. I hope that this study will contribute to the development of the medical tourism industry.

• Geomechanics and Engineering
• /
• v.23 no.1
• /
• pp.51-59
• /
• 2020

In this paper, the WEKA platform was used to mine and analyze measured data of floor failure depth and a prediction system of floor failure depth was developed with Java. Based on the standardization and discretization of 35-set measured data of floor failure depth in China, the grey correlation degree analysis on five factors affecting the floor failure depth was carried out. The correlation order from big to small is: mining depth, working face length, floor failure resistance, mining thickness, dip angle of coal seams. Naive Bayes model, neural network model and decision tree model were used for learning and training, and the accuracy of the confusion matrix, detailed accuracy and node error rate were analyzed. Finally, artificial neural network was concluded to be the optimal model. Based on Java language, a prediction system of floor failure depth was developed. With the easy operation in the system, the prediction from measured data and error analyses were performed for nine sets of data. The results show that the WEKA prediction formula has the smallest relative error and the best prediction effect. Besides, the applicability of WEKA prediction formula was analyzed. The results show that WEKA prediction has a better applicability under the coal seam mining depth of 110 m~550 m, dip angle of coal seams of 0°~15° and working face length of 30 m~135 m.

• Korean Journal of Community Nutrition
• /
• v.25 no.4
• /
• pp.303-316
• /
• 2020

Objectives: The nutritional status of cancer patients undergoing chemotherapy is closely related to the compliance of nutrition education. However, as chemotherapy is conducted repeatedly, compliance with nutrition management is lowered, leading to malnutrition. Malnutrition is related directly to the quality of life after surgery in cancer patients. Therefore, this study examined the factors related to compliance with nutrition management during chemotherapy. Methods: In this study, five subjects with colorectal cancer undergoing adjuvant chemotherapy were interviewed in-depth using the Giorgi study method. The contents of the nutrition education visits and in-depth interviews were transcribed in the language of the subject after recording, and the appropriateness of the data was improved by reflecting the subject's actions and facial expressions. Results: After conducting the in-depth interviews for each subject, the experience of the subject's diet and adjuvant chemotherapy was drawn into two domains, six elements, and 26 sub-elements. In the cognitive domain, the patients experienced physical and psychological changes, and the need for nutrition management was recognized by analyzing the dietary causes of the diseases. In the domain of practice, a knowing-doing gap was formed, unlike the patient's will. Factors that inhibited compliance with nutritional management included digestive problems, sensory changes, loss of appetite, and social interaction stress. Conclusions: Dietary management is very important for patients receiving periodic anticancer therapy, and step-by-step training and personal monitoring based on the chemotherapy order is necessary to maintain the patient's will and social and environmental support.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.48 no.8
• /
• pp.631-640
• /
• 2020

Currently, aircraft simulator has drawn a great attention because it has significant advantages of economic, temporal, and spatial costs compared with pilot training with real aircraft. Among the components of the aircraft simulator, flight dynamic model plays a key role in simulating the flight of an actual aircraft. Hence, it is important to verify the fidelity of flight dynamic model with an automated tool. In this paper, we develop a software to automatically verify the fidelity of the flight mechanics model for the efficient development of the aircraft simulator. After designing the software structure and GUI based on the requirements derived from the fidelity verification process, the software is implemented with C # language in Window-based environment. Experimental results on CTSW models show that the developed software is effective in terms of function, performance and user convenience.

• Journal of Digital Convergence
• /
• v.11 no.3
• /
• pp.397-405
• /
• 2013

This study examined the effects of leisure satisfaction and hope on korean university adjustment of Chinese students. The data were collected from 361 chinese students among three universities located in Chungnam, Seoul and Incheon. Frequency, reliability, mean comparison, correlation, and hierarchical regression analysis. The results were as follows. First, chinese students in the language training group was better in the Korean university adjustment than those in each group of undergraduate and graduate students. The chinese students who stayed less than six months in Korea were better in the Korean university adjustment than those who stayed more than 6 months. Second, there was the significant positive relationship among chinese students' korean university adjustment, leisure satisfaction, and hope. Third, leisure satisfaction and hope significantly influenced korean university adjustment of chinese students. Among them, leisure satisfaction influenced most. korean university adjustment.

• Proceedings of the IEEK Conference
• /
• summer
• /
• pp.382-386
• /
• 2004

Recently, with the machine learning trend, most of the machine translation systems on over the world use two syntax tree sets of two relevant languages to learn syntactic tree transfer rules. However, for the English-Vietnamese language pair, this approach is impossible because until now we have not had a Vietnamese syntactic tree set which is correspondent to English one. Building of a very large correspondent Vietnamese syntactic tree set (thousands of trees) requires so much work and take the investment of specialists in linguistics. To take advantage from our available English-Vietnamese Corpus (EVC) which was tagged in word alignment, we choose the SITG (Stochastic Inversion Transduction Grammar) model to construct English- Vietnamese syntactic tree sets automatically. This model is used to parse two languages at the same time and then carry out the syntactic tree transfer. This English-Vietnamese bilingual syntactic tree set is the basic training data to carry out transferring automatically from English syntactic trees to Vietnamese ones by machine learning models. We tested the syntax analysis by comparing over 10,000 sentences in the amount of 500,000 sentences of our English-Vietnamese bilingual corpus and first stage got encouraging result $(analyzed\;about\;80\%)[5].$ We have made use the TBL algorithm (Transformation Based Learning) to carry out automatic transformations from English syntactic trees to Vietnamese ones based on that parallel syntactic tree transfer set[6].

• Korean Journal of Community Nutrition
• /
• v.22 no.4
• /
• pp.323-335
• /
• 2017

Objectives: The purpose of this study is to analyze the current status of nutrition education programs for multicultural families and to provide policy suggestions for improvement. Methods: In-depth interviews of a total of 21 multicultural experts were conducted; 15 people were interviewed individually, while 6 people were interviewed in groups of three. Results: In-depth interviews revealed various problems related to the operation of nutrition education programs. The causes of problems were analyzed and categorized as four factors: systemic, practical, environmental and cultural. As for the systematic factors, insufficient linkage between related organizations and duplicate performance of several projects were identified as concerns Establishment of a control tower and strengthening the linkage among the related organizations may be needed to address this concern. With regard to practical factors, the study identified that language barriers, and lack of nutritional education media and tools translated into multicultural languages were limiting factors. These limitations the development of nutrition education materials that aretranslated into multiple languages, implementation of education programs that are different from the Korean education, and by providing interpreters. As for the environmental factors, low educational level and poor nutritional knowledge of multicultural women made it difficult for them to understand the contents of the education. Demonstration, practical training and urgent education on pregnancy and childbirth nutrition were identified as needs to address these concerns. Withregard to cultural factors, food culture conflict with Korean families, and difficulties in home practices were detected as concerns. Participants in the study suggested that getting education with family and facilitation of weekend and nighttime programs health of this community. Conclusions: Further studies are needed to adopt more effective and efficient nutrition intervention to promote the healthy eating of the married immigrant women based on the study results.