• International Commerce and Information Review
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• v.13 no.4
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• pp.81-100
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• 2011

With the smart device deployment, the interest in NFC technology is increasing. In this study, to be successful in NFC based business commercialization, we present main factors affecting success of NFC based e-commerce business model. To this end, we conduct NFC and business models, case study methodology through literature review. And then, we suggest representative NFC e-commerce business model cases, and practices that affect the success or failure of the six factors are derived Derived factors are based on inductive learning to apply the technology to create a case study table, and decision trees to bring it, NFC-based commerce business models need to be successful at the strategic implications are present.

• Journal of The Geomorphological Association of Korea
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• v.23 no.2
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• pp.109-125
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• 2016

This study aims to identify the landslide susceptible zones of Boeun area and provide reliable landslide susceptibility maps by applying different modeling methods. Aerial photographs and field survey on the Boeun area identified landslide inventory map that consists of 388 landslide locations. A total ofseven landslide causative factors (elevation, slope angle, slope aspect, geology, soil, forest and land-use) were extracted from the database and then converted into raster. Landslide causative factors were provided to investigate about the spatial relationship between each factor and landslide occurrence by using fuzzy set and logistic regression model. Fuzzy membership value and logistic regression coefficient were employed to determine each factor's rating for landslide susceptibility mapping. Then, the landslide susceptibility maps were compared and validated by cross validation technique. In the cross validation process, 50% of observed landslides were selected randomly by Excel and two success rate curves (SRC) were generated for each landslide susceptibility map. The result demonstrates the 84.34% and 83.29% accuracy ratio for logistic regression model and fuzzy set model respectively. It means that both models were very reliable and reasonable methods for landslide susceptibility analysis.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.649-655
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• 2021

This study purposes to cross-validate its performance by applying the optimal seismic vulnerability assessment model based on previous studies conducted in Gyeongju to other regions. The test area was Pohang City, the occurrence site for the 2017 Pohang Earthquake, and the dataset was built the same influencing factors and earthquake-damaged buildings as in the previous studies. The validation dataset was built via random sampling, and the prediction accuracy was derived by applying it to a model based on a random forest (RF) of Gyeongju. The accuracy of the model success and prediction in Gyeongju was 100% and 94.9%, respectively, and as a result of confirming the prediction accuracy by applying the Pohang validation dataset, it appeared as 70.4%.

• Tuberculosis and Respiratory Diseases
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• v.66 no.5
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• pp.349-357
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• 2009

Background: The treatment success rates in patients with tuberculosis are known to be lower in the private sector compared to the public sector. To improve treatment outcomes in the private sector we developed a public-private collaboration model for strengthening health education and case holding activities with public health nursing in the private sector. Methods: We performed a prospective cohort study in new smear positive pulmonary tuberculosis patients treated at private hospitals, selected by non-randomization, with an intervention consisting of health education and case holding activities by specially trained public health nurses (intervention group) results were compared with cases treated without the intervention (conventional group). Physicians were asked to treat both groups routinely. The treatment outcomes of patients under treatment by the National Tuberculosis Programme were also analyzed for comparison. Results: There were 172 cases each in the intervention and conventional groups. The mean age was 48.9${\pm}$19.0 and 48.2${\pm}$19.7 in the respective groups (p=0.66). The PHN interacted with the cases in the intervention group by initial face to face interview and telephone calls an average of 7.1${\pm}$9.2 times during the initial six months. The intervention group showed a significantly higher treatment success rate, 91.6%, (Rate Ratio [RR]; 1.23, 95% Confidence Interval [CI]; 1.12-1.36), lower default, 3.6%, (RR; 0.31, 95% CI; 0.13-0.75) and transfer-out rate, 3.0%, (RR; 0.32, 95% CI; 0.12-0.86) than the conventional group where they were: 75.0%, 11.6%, 9.3%, respectively. The success rate was even higher than the rate (80.5%) of 1,027 cases treated in health centers (RR; 1.11, 95% CI; 1.05-1.17). Of the completed cases in the intervention group, 82.2% regarded the role of the public health nurse as very helpful. Conclusion: The treatment success rate, of tuberculosis patients in the private sector, was significantly improved by an intervention using a public-private collaboration model.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.9
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• pp.916-922
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• 2009

Because thermal design of satellite carrying out mission in space is performed by thermal analysis result using thermal mathematical model, accuracy of thermal mathematical model is important and it can be improved by model correlation. Correlation steps of satellite thermal math model are composed of modeling of satellite configuration placed in thermal vacuum chamber, verification of correspondence between thermal math model and real satellite configuration, and adjustment of modeling parameters from major part to minor part etc. In this study, correlation success criteria was established and correlation for satellite thermal math model was performed using result of thermal vacuum test of satellite structure-thermal model to meet the success criteria. The overall results satisfied the criteria and this correlated thermal model was applied for detailed thermal design of satellite.

• Information Systems Review
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• v.3 no.1
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• pp.177-189
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• 2001

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.186-191
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• 2019

Introduction: In aged people, stroke incidence is increased. But standardized experimental animal protocol study for the research of stroke therapy is rare. There is little report on the success rate of cerebral artery occlusion model using standardized Nylon thread length of precise thread end-size controlled. Method: In this study, the operator intended the occlusion of middle cerebral artery (MCA) using $0.18{\pm}0.02mm$ end 5-0 Nylon thread. Middle cerebral artery occlusion was induced for 60min under isoflurane anesthesia. After 60min, the operator removed the Nylon thread and reperfusion was induced for 23hrs. The mice was killed 23hrs after reperfusion and infarction area of brain was confirmed by 1.5% TTC (2,3,5-tryphenyl tetrazolium chloride) staining. Results: According to end size and insert length of Nylon thread, Middle cerebral artery occlusion (n=50), internal carotid artery occlusion (n= 14), distal middle cerebral artery occlusion (n= 36), anterior cerebral artery (n= 1) were induced. And no infarction (n= 50) was observed. Conclusion: According to weight of mice, the operator induced reversible cerebral artery occlusion model by different insert length (30.0~36.9g : 9.0mm, 37.0~40.0g : 9.5mm) of Nylon thread. Success of cerebral artery occlusion model was confirmed by checking infarction area using TTC staining. The success rate (66.9%, 101/151) of reversible cerebral artery occlusion model in the mouse and the operational conditions are shown.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.212-224
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• 2017

This study was conducted in order to raise a question regarding limitations of career guidance as career guidance programs for university students are limited to career planning and preparation and fail to deal with career management after being employed. Accordingly, it investigated the effects of career maturity, which is mainly studied among university students, on protean career attitude and effects of protean career attitude on subjective career success. To that end, this study built a research model based on the effects of career maturity and protean career attitude on subjective career success of university students and analyzed data collected from 273 university students based on the research model. The result showed that career maturity of university students had positive effects on their protean career attitude. Especially, in career maturity, planning and independence had significant effects on protean career attitude. However, in career maturity attitude, attitude toward work had negative effects. Also, protean career attitude of university students had significant effects on subjective career success. This study aimed to explain the relationship between career of university students and relevant behaviors and perception by clarifying the structural relationship among planning, independence, attitude toward work, protean career attitude, and subjective career success. Based on the results of this study, it was suggested that career management theory should be newly introduced into career guidance program of university students.

• Nutrition Research and Practice
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• v.16 no.2
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• pp.205-216
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• 2022

BACKGROUND/OBJECTIVES: While many obesity studies have pointed out the importance of meal regularity, few have conducted empirical analyses using data from food diaries. We examined the association between meal regularity (i.e., meal time regularity [MTR] and calorie intake regularity [CIR]) and weight loss. SUBJECTS/METHODS: We collected food diary data from 637 women who had participated in commercial weight loss programs for 28-168 days (4-24 weeks). This study defined "meal regularity" in terms of two concepts: MTR and CIR. MTR refers to how regularly people eat their meals (i.e., at certain times each day), whereas CIR refers to how regularly people consume a certain amount of calories at each meal. We conducted multiple regression analyses. RESULTS: MTR (model 1: β = -2,576.526, P < 0.001; model 2: β = -1511.447, P < 0.05; model 3: β = -1,721.428, P < 0.05) and CIR (model 1: β = -1,231.551, P < 0.01; model 2: β = -2,082.353, P < 0.001; model 3: β = -1,343.490, P < 0.01) turned out to be significant determinants of the amount of weight loss in breakfast, lunch, and dinner contexts. While meal regularity (i.e., MTR and CIR) was significantly associated with weight loss, daily calorie intake from meals was not significantly associated with the amount of weight loss (model 1: β = 0.13, P > 0.05; model 2: β = 0.11, P > 0.05; model 3: β = 0.14, P > 0.05). Subjects who consumed an equal amount of calories per meal throughout the day lost more weight than those who did not (model 4: β = -3,675.51, P < 0.001). CONCLUSIONS: Eating each meal (i.e., breakfast, lunch, and dinner) at a certain time every day may increase weight loss success. Also, consuming the same amount of calories at each meal may help weight loss success.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.289-314
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• 2015

Recently, Most of the companies and government offices are under consideration about the adoption of cloud office service to actualize the smart work policies. Comparing with traditional office software, a cloud office service have the advantage of the method of payment and coming over the physical limitations. Many cloud office service users tend to adopt an official evaluated the service without doubt. However after deciding to adopt cloud office service, many users are faced with a variety of problems and difficulties practically. In this study, researchers carried out interview about those problems and difficulties after adopting a cloud office service. Consequently, there are several problems and difficulties such as compatibility, document security, document lost and maladjusted to the new graphic user interface between traditional office software and a cloud office service. A cloud office service have still several advantages not only a competitive price but also ubiquitous attributes. Thus, researchers need to study about what kinds of reason variables can solve those problems and difficulties. In existing research, DeLone & McLean have suggested information system success model. They use three independent variables which are system quality, information quality, service quality. Parameters are user satisfaction, intention to use and use. Lastly, dependent variables are net benefits. However in this study, we need to change the scope of measurement. In other words, we have to replace parameters with dependent variables. Simply, user satisfaction, intention to use and use is going to be dependent variables. There are several reasons why we need changing variables. First, we aim at giving a some suggestions to a cloud service providers which independent variables do not work to satisfy for the users. Second, we need to find out how to maximize cloud office service user's satisfaction and intention to use. Third, we should firstly know that relationship between independent variables and dependent variables. Finally, those research results give for the cloud office service provider to solve the cloud office service adopting problems and difficulties.