• Journal of Digital Convergence
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• v.13 no.8
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• pp.261-265
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• 2015

When choosing a gift for the other person what does that person like? It falls into a happy worry. Choosing the right gift for someone else associated with me is not easy in the personalized world gradually. In this paper a smart phone app is developed for reducing conflicts and saving time to choose gifts. It may help improve a person's satisfaction. It can reduce the worry and time required for buying a gift. It may also be used to make future interpersonal relationships and vitalize the relationships. For the gift recommendation in accordance with the preferences of the person through the process in accordance with the classification of each category can recommend an appropriate gift. The appropriation of the gift is updated to reflect the continuing satisfaction by recommendation status decided by the pre-survey. Any gift is recommended using the formula calculating the priority to recommend reflect a variety of weights. In addition, it is possible to increase the utilization of the app via the fusion between the e-commerce system.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.93-98
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• 2012

This study was to analyze the influences of various factors on the u-health service. Data was surveyed from experienced of u-Health service sectors. We measured legal support, IT-infra, user education, the user education, and the u-Health solution, are the critical success factors for the u-Health service. Also we evaluated u-Health services by survey data from the users. We did also the research to evaluate the validity and reliability of these factors. After that the Analytical Hierarchy Process (AHP) was applied to measure the weights among these factors. Factor analysis resulted in 6 major factors (Eigenvalue > 1.0). The AHP analysis showed the list of Critical Success Factors weighted by its significance priorities. The results of this paper could be the valuable references for the policy making process of the u-Health system in Korea.

• Journal of Distribution Science
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• v.14 no.11
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• pp.83-90
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• 2016

Purpose - During the last two years, convenient stores (CS) are emerging as one of the most fast-growing retail trades in Korea. The goal of this work is to forecast and to analyze sales at CS using ARIMA-Intervention model (IM) and exponential smoothing method (ESM), together with sales at supermarkets in South Korea. Considering that two retail trades above are homogeneous and comparable in size and purchasing items on off-line distribution channel, individual behavior and characteristic can be detected and also relative superiority of future growth can be forecasted. In particular, the rapid growth of sales at CS is regarded as an everlasting external event, or step intervention, so that IM with season variation can be examined. At the same time, Winters ESM can be investigated as an alternative to seasonal ARIMA-IM, on the assumption that the underlying series shows exponentially decreasing weights over time. In case of sales at supermarkets, the marked intervention could not be found over the underlying periods, so that only Winters ESM is considered. Research Design, Data, and Methodology - The dataset of this research is obtained from Korean Statistical Information Service (1/2010~7/2016) and Survey of Service Trend of Korea Statistics Administration. This work is exploited time series analyses such as IM, ESM and model-fitting statistics by using TSPLOT, TSMODEL, EXSMOOTH, ARIMA and MODELFIT procedures in SPSS 23.0. Results - By applying seasonal ARIMA-Intervention model to sales at CS, the steep and persisting increase can be expected over the next one year. On the other hand, we expect the rate of sales growth of supermarkets to be lagging and tied up constantly in the next 2016 year. Conclusions - Based on 2017 one-year sales forecasts for CS and supermarkets, we can yield the useful information for the development of CS and also for all retail trades. Future study is needed to analyze sales of popular items individually such as tobacco, banana milk, soju and so on and to get segmented results. Furthermore, we can expand sales forecasts to other retail trades such as department stores, hypermarkets, non-store retailing, so that comprehensive diagnostics can be delivered in the future.

• Korean Journal of Agricultural Science
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• v.45 no.1
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• pp.114-119
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• 2018

This study analyzed the trends of patents for unmanned technology used in agriculture. The target countries for this survey of patent data were Korea, the USA and Japan as well as the countries in Europe. The indices used in this study to analyze the patents were the CPP (Cites Per Patent), PII (Patent Impact Index), and PFS (Patent Family Size). The total effective patents for unmanned technology used in agriculture were 1,080 cases. The number of patents in the USA, Japan, Europe, and Korea were 541, 326, 128 and 85 cases, respectively. Among the total effective patents, the evaluation scores for selected important patents were calculated by applying commonly used weights to each index, and the top 10 patents were selected as important patents. The results showed that all the top ten patents are owned by the United States and that the United States is an advanced country in the field of unmanned technology used in agriculture. The evaluation score of the important patents using the existing method was biased toward the PII index among the three patent evaluation standards, and the effects of the number of claims and the PFS were relatively small. Therefore, a reliable patent analysis in the field of unmanned technology used in agriculture needs to reflect the overall evaluation factors taking into consideration the scope of the evaluation factors.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.113-118
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• 2002

Research and Development(R&D) was once considered to be a unique, creative and unstructured process that was difficult, if not impossible, to manage and control. R&D decisions impact the entire enterprise. Therefore, decisions must not be based solely on R&D's perception of what is important or worthwhile. R&D contributions are difficult to measure separately from other functional organizations such as manufacturing and marketing. While some firms are attempting to overcome perceived limitations in traditional accounting-based performance measures using ROI, EVA, others are embracing the use of non-financial measures for decision making and performance evaluation. In particular, many firms are implementing 'Balanced Scorecard(BSC)' systems that supplement traditional accounting measures with non-financial measures focused on at least three other perspectives-customers, internal business processes, and learning and growth. AHP is a popular multi-attribute decision making model that allows for the development of importance rankings. The AHP has been applied in a wide variety of practical settings to model complex decision problems. The former, determine Perspectives and the Key Performance indicator(KPI) through the former research, the latter compose the questionnaire for determine the weight of perspectives and KPIs. And then, make a survey with researchers about 4 perspectives and 18 KPIs. The results will be simulate with Expert Choice 2000 for determine the weights. This results helps establish the firm's business strategy and technology strategy The firm should establish the business strategy to consider market position, business growth potential, and technological capabilities.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.349-356
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• 2009

In this study, we suggest the estimation method of the relative risk for the unemployment statistics of a small area such as si, gun, gu in Korea. The considered method are the usual pooled estimator, weighted estimator with the inverse of log-variance as weights, and the Jackknife estimator. And we compare with the efficiency of the three estimators by estimating the bias and mean square errors using real data from the 2002 Economically Active Population Survey of Gyeonggi-do. We compute the unemployed rate of male and female in small areas, and then estimate the common relative risk for the unemployed rate between male and female. Also, the stability and reliability of the three estimators for the common relative risk was evaluated using the RB(relative bias) and the RRMSE(relative root mean square error) of these estimators. Finally, the Jackknife estimator turned out to be much more efficient than the other estimators.

• Journal of the Korean Society of Safety
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• v.29 no.6
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• pp.144-150
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• 2014

A man is a component of a large system how complex it may be so that human performance which can influence on the system safety should be included in system safety assessment. Meanwhile, human performance can vary over time due to lots of factors. Among them, stress is an indirect factor that may cause human error which can result in industrial accidents. To assess stress level of human workers, not a few assessment tools have been developed. However, it can be questionable to utilize them for human performance anticipation because they were mainly developed with the viewpoint of mental health, though stress assessment can be also required in the safety aspect. Therefore, this study aimed to survey the possibility of their application with safety purpose. About 10 kinds of work stress tools were collected and analyzed with reference to assessment items, assessment and analysis methods, and follow-up measures. The results showed that most tools focused their weights on Demands, Supports, and Relationships, in sequence. However, they, except only one tool developed by the Japanese researchers, merely advised to set up counterplans in PDCA cycle or risk management activities. In consequence, application of stress assessment tools mainly developed for mental health seemed impractical for safety purpose with respect to human performance anticipation so that it was concluded that development of a new assessment tools aimed to human performance variation and accident prevention would be inevitable.

• Quality Improvement in Health Care
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• v.2 no.1
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• pp.86-109
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• 1995

Clinical trials of drugs on humans is the final and most important stage in evaluating the safety and efficacy of the drugs. Good Clinical Practice(GCP) standards were announced in 1987 to protect testees' rights as well as to ensure validity of the clinical trial results, but its implementation has been delayed until now. The purpose of this study is to evaluate the preparedness of the designated institutions to abide by GCP standards during clinical trials, and thereby to determine GCP implementability at the institutions. Survey on the status of clinical trials was conducted for the designated 83 clinical trial hospitals. Response rate was 95.2%. Donabedian's quality assessment model was applied as the basic framework for the study. And the relative - weights for the evaluation items were determined by expert's evaluation. Among the designated 83 hospitals, 39 conducted clinical trials to obtain drug manufacturing approval from 1990 to 1994. Only 19 institutions are found to be able to meet the requirements of KGCP. Structure variables - manpower, organization, and facility -, which are the basic elements for GCP, are evaluated as unsatisfied in many hospitals. Institutions which established IRB accounted for 41 or 51.9%, but those who have a protocol evaluation guideline, or Adverse Drug Reaction(ADR) reporting system were only 12 and 21 institutions, respectively. Also, the institutions providing educational programs on conducting clinical trials are few - 20. The study results indicates that the level of conducting KGCP is unsatisfactory. However, more institutions are expected to be able to meet the standards soon because GCP standards does not require so much regulation on facilities, but stress importance on research methodology and human right. At present as the institutions for clinical trials are primarily training hospitals with residency programs, such efforts as education will accelerate the implementability of GCP in Korea. Institutions must build the appropriate infrastructure and government must prepare to strongly enforce KGCP before it can successfully take place.

• Journal of Nutrition and Health
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• v.35 no.9
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• pp.952-961
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• 2002

The purpose of this study was to compare nutrient intakes and the serum iron status of 74 Food and Nutrition major, and 45 non-major, female students at a university in Incheon. This cross-sectional survey was conducted using a self-administered questionnaire and the data were analyzed by the SPSS 10.0 program. The nutrient intake data collected from three-day dietary recalls were analyzed by the Computer Aided Nutritional Analysis Program. Anthropometric data and hematological indices of iron in the blood were measured. Average heights, weights, body fat and mid-upper arm circumference of Food and Nutrition major and non-major female students were 160.3 cm, 53.5kg, 25.8%, 23.7cm and 159.8cm, 55.5kg, 28.9%, 24.8cm, respectively. There were significant differences in body fat percentage and mid-upper arm circumference between the major and non-major students. In all subjects, daily dietary intakes of nutrients- except protein, vitarrlin B1, vitamin C and phosphorus - were lower than the Korean RDA. In particular, calcium and iron intakes of all subjects were under 60% of the Korean RDA. Values of RBC (red blood cell) count, Hb (hemoglobin), Hct (hematocrit), MCV (mean cell volume), MCH (mean cell hemoglobin), and MCHC (mean corpuscular hemoglobin concentration) of the non-major students were significantly higher compared to those of the major students. The diastolic blood pressure of the major students was negatively correlated with MCV, MCH, TS, and serum iron levels. Triceps skinfold thickness, mid-upper arm circumference and waist-to-hip ratios of the non-major students were negatively correlated with TIBC. Fat intake was positively correlated with RBC, Hb, Hct, and TIBC (total iron binding capacity) in the major students. Vitamin C intake was positively correlated with serum iron in the major students. Carbohydrate intake was positively correlated with Hb, Hct, and MCHC in the non-major students. Niacin and iron intakes were positively correlated with Hb and Hct in the non-major students. Therefore, nutrition education is necessary for female university students to improve nutritional status and to practice optimal nutrition strategies. (Korean J Nutrition 35(9) : 952~961, 2002)

• Journal of Nutrition and Health
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• v.44 no.3
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• pp.212-221
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• 2011

This study was conducted to identify differences in growth based on the obesity index in sixth grade. Heights and weights of 141 students from first to sixth grades were collected from school records. Other information was gathered by survey, and the weight length index (WLI) was calculated. Subjects were classified into three groups: underweight (n = 57, UG), normal (n = 53, NG), and obese (n = 31, OG) using the WLI. Differences in weight, height, and growth velocity were compared among the three groups from the first to sixth grades. With regard to growth, the past physical status of the three groups was maintained. More than 50% of the OG was in the overweight range when they were in the third to fifth grades. Approximately 60% of NG was in the normal weight range between the first and fifth grades. More than 70% of UG was in the underweight range when they were in the first to fifth grades (p < 0.001). Growth velocity was faster in OG than that in NG and UG (p < 0.001). The annual growth rate of children was the highest when they moved from the third to the fourth grade (p < 0.001). The results indicate that general balanced diet education should be implemented in lower grades, because physical growth formed in lower grades tended to be maintained in senior grades. It would be better to educate students about diet to prevent obesity before the fifth grade when a major change in body structure has occurred.