• Journal of Korean Home Economics Education Association
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• v.27 no.1
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• pp.85-109
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• 2015

The purposes of this study were to analyze the duplicated contents of 'family life' unit of home economics and other subject textbooks for the middle school students. It focused on the 'family life' area in the home economics textbook compiled following the 2009 revised curriculum, and textbooks of other subjects compiled in the same period. To achieve the purpose of this study, "Home economics I II", "Ethics I II", "Social studies I II", "Science I II III", and "Physical education"were analyzed. The results were as follows. The contents in 'family life' area of "Home economics I II" were overlapped most in the textbook on Ethics, and then Science, Physical education, and social studies in order. In Ethics textbook the contents in family life area and those throughout the whole chapters of home economics textbook are overlapped most. The contents of home economics textbook are overlapped at the content of 'Juvenile's sexual development' of 'Human development process' in science and physical education, and at the content of 'Juvenile's emotional and social development' of 'Understanding of human development' in social studies. Seen from this study the 'family life' area of home economics is overlapped in science, physical education, and social studies, but, home economics has comprehensive contents with the goal of managing healthy individual and family life compared with other subjects, and it induces students' moral practices in their real life on the basis of scientific knowledge different from morality, social studies, and physical education. Hence, the instruction of 'family life' area might be done more effectively by focusing on home economics and integrating the connections of duplicated contents in Ethics, Science, Physical education, and Social studies.

• Korean Security Journal
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• no.48
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• pp.147-176
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• 2016

Korean Peninsula is surrounded by ocean on three sides. Because of this geographical quality over 97% of export and import volumes are exchange by sea. Foreign ship and international passenger vessels carries foreign tourist and globalization and internationalization increases this trends. Leisure population grows with national income increase and interest of ocean. And accidents and incidents rates are also increases. Korea Coast Guard's jurisdiction area is 4.5 times bigger than our country. The length of coastline is 14,963km including islands. One patrol vessel is responsible for 24,068km and one coast guard substation is responsible for 94km. Efficient patrol activities can not be provided. This research focus on this problem. Analyze the status and trends of maritime crime and suggest efficient patrol activities. To deal with increasing maritime crime rate this study suggest to use geographical profile method which developed early 1900s in USA. This geographical profile analyse the spatial characteristic and mapping this result. With this result potential crime zone can be predicted. One of the result is hot spot management which gives data about habitual crime zone. In Korea National Police Agency adopt this method in 2008 and apply on patrol and crime prevention activity by analysis of different criteria. Korea National Police Agency analyse the crime rate with crime type, crime zone and potential crime zone, and hourly, regionally criteria. Korea Coast Guard need to adopt this method and apply on maritime to make maritime crime map, which shows type of crime with regional, periodical result. With this geographical profiling we can set a Criminal Point which shows the place where the crime often occurs. The Criminal Points are set with the data of numerous rates such as homicide, robbery, burglary, missing, collision which happened in ocean. Set this crime as the major crime and manage the data more thoroughly. I expect to enhance the reinforcement of marine crime using this Criminal Points. Because this points will give us efficient way to prevent the maritime crime by placing the patrol vessel where they needed most.

• Journal of Nutrition and Health
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• v.48 no.5
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• pp.419-428
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• 2015

Purpose: The current study was conducted in order to develop the Korean Healthy Eating Index (KHEI) for assessing adherence to national dietary guidelines and comprehensive diet quality of healthy Korean adults using the 5th Korea National Health and Nutrition Examination Survey (KNHANES) data. Methods: The candidate components of KHEI were selected based on literature reviews, dietary guidelines for Korean adults, 2010 Dietary Reference Intakes for Koreans (2010 KDRI), and objectives of HP 2020. The associations between candidate components and risk of obesity, abdominal obesity, and metabolic syndrome were assessed using the 5th KNHANES data. The expert review process was also performed. Results: Diets that meet the food group recommendations per each energy level receive maximum scores for the 9 adequacy components of the index. Scores for amounts between zero and the standard are prorated linearly. For the three moderation components among the total of five, population probability densities were examined when setting the standards for minimum and maximum scores. Maximum scores for the total of 14 components are 100 points and each component has maximum scores of 5 (fruit intakes excluding juice, fruit intake including juice, vegetable intakes excluding Kimchi and pickles, vegetable intake including Kimchi or pickles, ratio of white meat to read meat, whole grains intake, refined grains intake, and percentages of energy intake from carbohydrate) or 10 points (protein foods intake, milk and dairy food intake, having breakfast, sodium intake, percentages of energy intake from empty calorie foods, and percentages of energy intake from fat). The KHEI is a measure of diet quality as specified by the key diet recommendations of the dietary guidelines and 2010 KDRIs. Conclusion: The KHEI will be used as a tool for monitoring diet quality of the Korean population and subpopulations, evaluation of nutrition interventions and research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.3
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• pp.97-109
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• 2016

In Korea, the survival rate of start-up of 5-year after foundation is as low as 29.6% of the country. This low survival rate is from because of insufficient resources in start-ups compared to those of mid-sized companies. Therefore, the marketing characteristics of entrepreneurship has emerged as a major cause. Therefore, In this study, because learning orientation, marketing experience, competition orientation and etc are differently owned in start-ups, marketing impact to marketing strategy in start-up companies are differently investigated. Therefore, the relationship of learning orientation, marketing experience, competition Orientation with marketing strategies was examined. Based on this, Business performance was examined to suggest contents related to eco-system of start-up companies to representative of start-up companies. For this study, Survey was conducted for 250 start-up entrepreneurs within 3 and half year since foundation from Nov. 20 to Dec. 20, 2015. In result of data-cleaning, 207 meaningful samples were gathered. Based on these, conclusion was obtained. Using SPSS 20.0 statistical program, frequency analysis, reliability analysis, correlation analysis and regression analysis were conducted. the following conclusions were drawn. First, in the impact of marketing environment of Phase 1 start-up companies on marketing strategy, product strategy, distribution strategy and promotion strategy were positively affected by learning orientation, marketing experience and competition orientation. Second, in the effect of 2nd phase marketing strategy to business performance, the financial performance and the non-financial performance. Were positively affected by product strategy, distribution strategy and promotion strategies. Third, The effect of learning orientation, marketing experience and competition orientation to financial performance was positively mediated by product strategy and distribution strategy among 3rd phase meditation strategies. the effect of learning orientation, marketing experience and competition orientation to non-financial performance was positively mediated by products strategy. In comprehensive summary, in order to increase business performance in start-up companies, marketing strategy should be applied in. Especially, the role of learning orientation and marketing experience is vital. In increasement of business performance to characteristics of star up marketing, financial performance can be increased by product strategy and distribution strategy. And, both of financial and non-financial performance can be increased by product strategy. Therefore, in conducting of marketing characteristics of start-up, to increase business performance, the apply of marketing strategy to marketing characteristics of start-up should be required.

• Journal of Korea Water Resources Association
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• v.53 no.1
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• pp.15-27
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• 2020

Streamflow discharge as a fundamental riverine quantity plays a crucial role in water resources management, thereby requiring accurate in-situ measurement. Recent advances in instrumentations for the streamflow discharge measurement has complemented or substituted classical devices and methods. Among various potential methods, surface current meter using microwave has increasingly begun to be applied not only for flood but also normal flow discharge measurement, remotely and safely enabling practitioners to measure flow velocity postulating indirect contact. With minimized field preparedness, this method facilitated and eased flood discharge measurement in the difficult in-situ conditions such as extreme flood in active ways emitting 24.125 GHz microwave without relying on natural lights. In South Korea, a rectangular shaped instrument named with Microwave Water Surface Current Meter (MWSCM) has been developed and commercially released around 2010, in which domestic agencies charging on streamflow observation shed lights on this approach regarding it as a potential substitute. Considering this brand-new device highlighted for efficient flow measurement, however, there has been few noticeable efforts in systematic and comprehensive evaluation of its performance in various measurement and riverine conditions that lead to lack in imminent and widely spreading usages in practices. This study attempted to evaluate the MWSCM in terms of instrumen's monitoring configuration particularly regarding tilt and yaw angle. In the middle of pointing the measurement spot in a given cross-section, the observation campaign inevitably poses accuracy issues related with different tilt and yaw angles of the instrument, which can be a conventionally major source of errors for this type of instrument. Focusing on the perspective of instrument configuration, the instrument was tested in a controlled outdoor river channel located in KICT River Experiment Center with a fixed flow condition of around 1 m/s flow speed with steady flow supply, 6 m of channel width, and less than 1 m of shallow flow depth, where the detailed velocity measurements with SonTek micro-ADV was used for validation. As results, less than 15 degree in tilting angle generated much higher deviation, and higher yawing angle proportionally increased coefficient of variance. Yaw angles affected accuracy in terms of measurement area.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.9
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• pp.1388-1398
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• 2015

Quality Function Deployment (QFD) is the most complete and comprehensive method for translating what customers need from a product. This study utilized QFD to develop sauces made from Gochujang and to determine how to fulfill international customers' requirements. A customer survey and expert opinion survey were conducted from May 13 to August 22, 2014 and targeted 220 consumers and 20 experts in the U.S. and China. Finally, a total of 208 (190 consumers and 18 experts) useable data were selected. The top three customer requirements for Gochujang sauces were identified as fresh flavor (4.40), making better flavor (3.99), and cooking availability (3.90). Thirty-three engineering characteristics were developed. The results from the calculation of relative importance of engineering characteristics identified that 'cooking availability', 'free sample and food testing', 'unique concept', and 'development of brand' were the highest. The relative importance of engineering characteristics, correlation, and technical difficulties are ranked, and this result could contribute to the development Korean sauces based on customer needs and engineering characteristics.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.1-16
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• 2015

Traffic accident is one of the major cause of death worldwide for the last several decades. According to the statistics of world health organization, approximately 1.24 million deaths occurred on the world's roads in 2010. In order to reduce future traffic accident, multipronged approaches have been adopted including traffic regulations, injury-reducing technologies, driving training program and so on. Records on traffic accidents are generated and maintained for this purpose. To make these records meaningful and effective, it is necessary to analyze relationship between traffic accident and related factors including vehicle design, road design, weather, driver behavior etc. Insight derived from these analysis can be used for accident prevention approaches. Traffic accident data mining is an activity to find useful knowledges about such relationship that is not well-known and user may interested in it. Many studies about mining accident data have been reported over the past two decades. Most of studies mainly focused on predict risk of accident using accident related factors. Supervised learning methods like decision tree, logistic regression, k-nearest neighbor, neural network are used for these prediction. However, derived prediction model from these algorithms are too complex to understand for human itself because the main purpose of these algorithms are prediction, not explanation of the data. Some of studies use unsupervised clustering algorithm to dividing the data into several groups, but derived group itself is still not easy to understand for human, so it is necessary to do some additional analytic works. Rule based learning methods are adequate when we want to derive comprehensive form of knowledge about the target domain. It derives a set of if-then rules that represent relationship between the target feature with other features. Rules are fairly easy for human to understand its meaning therefore it can help provide insight and comprehensible results for human. Association rule learning methods and subgroup discovery methods are representing rule based learning methods for descriptive task. These two algorithms have been used in a wide range of area from transaction analysis, accident data analysis, detection of statistically significant patient risk groups, discovering key person in social communities and so on. We use both the association rule learning method and the subgroup discovery method to discover useful patterns from a traffic accident dataset consisting of many features including profile of driver, location of accident, types of accident, information of vehicle, violation of regulation and so on. The association rule learning method, which is one of the unsupervised learning methods, searches for frequent item sets from the data and translates them into rules. In contrast, the subgroup discovery method is a kind of supervised learning method that discovers rules of user specified concepts satisfying certain degree of generality and unusualness. Depending on what aspect of the data we are focusing our attention to, we may combine different multiple relevant features of interest to make a synthetic target feature, and give it to the rule learning algorithms. After a set of rules is derived, some postprocessing steps are taken to make the ruleset more compact and easier to understand by removing some uninteresting or redundant rules. We conducted a set of experiments of mining our traffic accident data in both unsupervised mode and supervised mode for comparison of these rule based learning algorithms. Experiments with the traffic accident data reveals that the association rule learning, in its pure unsupervised mode, can discover some hidden relationship among the features. Under supervised learning setting with combinatorial target feature, however, the subgroup discovery method finds good rules much more easily than the association rule learning method that requires a lot of efforts to tune the parameters.

• Journal of Korean Academy of Nursing
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• v.26 no.4
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• pp.768-781
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• 1996

The problem of care of patients and families with Alzheimer's disease has become a conscious raising social policy issue in Korea. The government of the Republic of Korea has become cognizant of the situation and has begun searching for ways to remedy it. Thus, there is a need for a comprehensive under-standing of the situation in which patients and their families are struggling and the enormous problems of care. With a realization of the urgent need, this study was done to investigate the situation and the care needs of families with patients with Alzheimer's Disease, and to compare the effectiveness of services utilized by the families in terms of cost and effects on patient's conditions and on family live. The Subjects for the study were 29 families with hospitalized patients, 25 families utilizing hospital outpatient clinics, 14 families utilizing day care facilities, and 16 families with homebound patients. A total of 84 families were interviewed by four trained interviewers using structured and semistructured questionnaires. The data produced from these interviews included : the patient's stage of Alzheimer's disease, patient's bizarre behavior, hours spent on patient care per day, family burden and quality of life, direct and indirect costs encountered in the care of patients, and the families' evaluation of the effectiveness of the services received. The data were analyzed to determine the relationships between family charactersistics, patient's conditions and services utilization. The effectiveness of each of the service entities was assessed through families evaluation and hoped for service and comparisons were made between services in terms of the cost-effectiveness ratios. After initial comparison of cost-effectiveness ratios, further analysis was done to compare between groups for incremental effectiveness for each incremental unit of cost to determine the most cost-effective service entities. The findings of the study are as fellows : 1. The choice of living arrangement and the types of services are a function of the stage of Alzheimer's condition and the economic status of the family. 2. Comparision of the cost of care showed that most expenses were encountered in by families with hospitalization, families using outpatient services, and families using day care services in that order. The least expense was involved in the care of homebound patients. The economic burden felt by families was in the same order as expenses. 3. The average number of hours spent on daily patient care was 9.9 hours for the outpatient clinic users, 9.7 hours for homebound patients, and 5.4 hours for day care users. 4. There were significant differences in the patient's conditions (CDRL), bizarre behaviors and the families's burden by living arrangement and /or types of service. However, no significant difference was found between groups in the family's quality of life. 5. The families rated the services of day care center as most effective for the care of the patients and families, except for a few families who had experienced some improvement in the patient's conditions. The outpatient clinic users expressed psychological comforts mainly in that the patient was being taken care of. For those hospitalized patients, families expressed the comfort of being relieved of the burden of care and that the patient is being professionally cared for. Form the analysis of the costs, hours of patient care, patient's bizarre behaviors, family's quality of life and burdens, and family's evaluation of services, it is concluded that up to the mid stage of Alzheimer's condition, the utilization of day care center services is found to be the most cost-effective, and toward the end stage of the Alzheimer's disease, it is hoped that there will be a establishment of long term or short term in-patient facilities for the protection of patients and preservation of the integrity of families for less cost. Thus. it was concluded that the family centered system of care is the most effective for Korea with systematic support systems developed for the care of patients and their families according to the needs of families as the patient's condition deteriorates.

• Journal of Oral Medicine and Pain
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• v.30 no.3
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• pp.353-360
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• 2005

The aim of this study was to investigate the impact of depression, somatization, and jaw disability on graded chronic pain of TMD using Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD). Ninety-three patients (17 men and 76 women, mean$\pm$SD age of 30.1$\pm$12.5 years) diagnosed with TMD based on RDC/TMD axis I criteria were administered RDC/TMD axis II history questionnaire. The relationships between depression, somatization, jaw disability, and each parameters of graded chronic pain (e.g. pain intensity, pain days, disability score, disability days, graded chronic pain scale) were analyzed by multiple regression analysis. The obtained results were as follows: 1. Among 93 TMD patients, the prevalence of low disability group of graded chronic pain scale was 42.0% and high disability group of graded chronic pain scale was 51.5%. 2. Depression did not show any significant influences on pain intensity, pain days, disability score, disability days, and graded chronic pain scale. 3. Somatization showed a significant effect on pain intensity (p<0.01), disability days (p<0.01), and graded chronic pain scale (p<0.01) except for both pain days and disability score. 4. Jaw disability also showed a significant effect on pain intensity (P<0.001), disability days (p<0.01), and graded chronic pain scale (P<0.001) except for both pain days and disability score. Somatization and jaw disability may closely relate to the pain intensity and degree of disability that TMD patients perceive. Therefore, comprehensive understanding of psychological profile and improvement of functional limitation of jaw movements in the patient should be considered to obtain an excellent outcome of chronic TMD management.

• Archives of design research
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• v.20 no.3 s.71
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• pp.61-72
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• 2007

Having started with "Space War", the first game produced by MIT in the 1960's, the gaming industry expanded rapidly and grew to a large size over a short period of time: the brand new games being launched on the market are found to contain many different elements making up a single content in that it is often called the 'the most comprehensive ultimate fruits' of the design technologies. This also translates into a large increase in the number of things which need to be considered in developing games, complicating the plans on the financial budget, the work force, and the time to be committed. Therefore, an approach for analyzing the elements which make up a game, computing the importance of each of them, and assessing those games to be developed in the future, is the key to a successful development of games. Many decision-making activities are often required under such a planning process. The decision-making task involves many difficulties which are outlined as follows: the multi-factor problem; the uncertainty problem impeding the elements from being "quantified" the complex multi-purpose problem for which the outcome aims confusion among decision-makers and the problem with determining the priority order of multi-stages leading to the decision-making process. In this study we plan to suggest AHP (Analytic Hierarchy Process) so that these problems can be worked out comprehensively, and logical and rational alternative plan can be proposed through the quantification of the "uncertain" data. The analysis was conducted by taking FPS (First Person Shooting) which is currently dominating the gaming industry, as subjects for this study. The most important consideration in conducting AHP analysis is to accurately group the elements of the subjects to be analyzed objectively, and arrange them hierarchically, and to analyze the importance through pair-wise comparison between the elements. The study is composed of 2 parts of analyzing these elements and computing the importance between them, and choosing an alternative plan. Among these this paper is particularly focused on the Delphi technique-based objective element analyzing and hierarchy of the FPS games.