• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.19-28
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• 2006

To develop a crisis management for aviation safety, this study has defined crisis management includes risk management which is eliminates or lowers risks prior to accidents and emergency response after the accidents. This study takes a look at different kinds of crisis managements, risk managements and statistical methods of other nations and fields in order to develop a risk management model. Through surveys which have 102 risk factors that include air traffic control, maintenance and airport sectors, the weight of each risk factor was calculated and the probability was divided to develop a model for risk management. The risk management model of this study is conducted using four steps (risk management plan, risk factor identification, weight and probability analysis, decision making) and 4 standards of weight along with 5 standards of probability This study takes a look at Predictions through a quantitative method using a risk index for the risk management model An effective risk management model should have a wide and continuous collection of data and adopt various methods using this model. The crisis management could not be very effective only using a pre-active risk management. So it should also be conducted by using a pro-active response system to protect additional damage and to prevent accidents of the same nature. From the results, the most important points were the establishment of command and control accountabilities, and cooperation of related organizations.

• Korean Journal of Occupational Health Nursing
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• v.8 no.2
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• pp.130-140
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• 1999

The purpose of this study was to identify health promoting behaviors(HPBs) and the related determinants affecting to women workers health based on the New Health Promotion Model by Pender(1996). Data were collected by self-reported questionnaires from 208 women workers at the 8 electronic manufacturing factories under the permission of data collection and cooperation with health managers in the factories during the period from September to October 1999. For data analysis. Descriptive statistics, ANOVA, Pearson's correlation and Stepwise multiple regression with SPSS/PC+7.5 version were used. The results were as follows : 1. The average score for the HPBs, consisted of 6 subdimensions was 2.05. The highest mean score was 2.29 in 'Spiritual growth' and the lowest one was 1.66 in 'Physical activity'. 2. No significant difference between general charateristics and HPBs were found. 3. HPBs were positively related to 'Prior related behavior'(r=0.369, p<0.1), 'Perceived self-efficacy'(r=0.340, p<.01), 'Activity-related affect'(r=0.252, p<.01). 'Social support'(r=0.350, p<.01). 'Commitment to a plan action'(r=0.374, p<.01). There was no significant correlation between perceived health status, perceived barriers to action and HPBs. 4. The most important variable in HPBs was 'Commitment to a plan action'. It was explained 14.0% out of the total variance of HPBs. 'Commitment to a plan action', 'Prior related behavior', 'Social support', 'Self-efficacy' and 'Perceived barriers to action' explained 23.0%. According to the results of this study, the suggestions were as follows: 1. It is necessary to develop program for improving the physical activity and health responsibility of women workers at the manufacturing industry. 2. To facilitate and maintain HPBs of women workers, nurses may enhance and plan mutually interactive active HPBs with women workers. 3. Social support at the level of individual workers, supervisors, and the organization is required in order to conduct health promotion program at the factories. 4. Significantly related variables to HIPBs should be identified the direct and indirect paths among them further more.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.97-111
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• 2009

Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a signal intersection and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, we intend to present a technology capable of overcoming problems in which advanced existing technologies exhibited limitations in handling real-time due to large data capacity such as object separation of vehicles and tracking, which pose difficulties due to environmental diversities and changes at a signal intersection with complex traffic situations, as pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian complex model analytical method which has been considered the best among well-known environmental obstacle reduction methods. To prove that the technology developed by this research has performance advantage over existing automatic traffic accident recording systems, a test was performed by entering image data from an actually operating crossroad online in real-time. The test results were compared with the performance of other existing technologies.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.273-285
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• 2024

With the active utilization of Online Judge (OJ) systems in the field of education, various studies utilizing learner data have emerged. This research proposes a problem recommendation based on a user-based collaborative filtering approach with learner data to support learners in their problem selection. Assistance in learners' problem selection within the OJ system is crucial for enhancing the effectiveness of education as it impacts the learning path. To achieve this, this system identifies learners with similar problem-solving tendencies and utilizes their problem-solving history. The proposed technique has been implemented on an OJ site in the fields of algorithms and programming, operated by the Chungbuk Education Research and Information Institute. The technique's service utility and usability were assessed through expert reviews using the Delphi technique. Additionally, it was piloted with site users, and an analysis of the ratio of correctness revealed approximately a 16% higher submission rate for recommended problems compared to the overall submissions. A survey targeting users who used the recommended problems yielded a 78% response rate, with the majority indicating that the feature was helpful. However, low selection rates of recommended problems and low response rates within the subset of users who used recommended problems highlight the need for future research focusing on improving accessibility, enhancing user feedback collection, and diversifying learner data analysis.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.89-100
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• 2024

Purpose : The objective of this study was to determine the major factors influencing the onset of diabetes and prediabetes and for collection of the basic data required to reduce the prevalence of diabetes and plan for administration of an effective health care system. By classifying the level of blood sugar management according to three categories: normal, prediabetes, and diabetes diagnosis, and determining the causes of diabetes in consideration of various variables, we will conduct an analysis of the main factors to be addressed for effective management of blood sugar and for preparation of basic data for use in early management. Methods : In this study, an analysis of raw data from the 8th National Health and Nutrition Examination Survey collected over a period of three years from 2019 to 2021, including 8,110 subjects in 2019, 7,359 subjects in 2020, and 7,090 subjects in 2021 was performed. A total of 22,559 subjects were aged 19 years or older, and 15,821 subjects were classified as subjects for inclusion in the final analysis. In the analysis, categorical variables were tested for difference, analysis of continuous variables using regression was performed, and analysis of influencing factors was performed using multinomial logistic analysis. Result : Significant factors related to the onset of diabetes and prediabetes included age (p<.001), marital status (p<.001), occupation (p<.001), hypertension (p<.001), dyslipidemia (p<.001), cardiovascular disease (p=.008), alcohol (p=.030) smoking (p=.005), systolic blood pressure (p<.001), diastolic blood pressure (p<.001), body mass index (p<.001) and waist circumference (p=.037), blood triglycerides (p<.001), and blood cholesterol (p<.001). Conclusion : Diabetes, a complex disease affected by a variety of diseases, requires active management from the prediabetes stage, and providing an appropriate level of medical information and services to elderly individuals without family support is considered a long-term health care system requirement in Korean society where the demographic structure is changing. In particular, determining the causes of prediabetes and development of a preventive approach to administering the health care system will be important for efficient management of diabetic patients.

• Asia pacific journal of information systems
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• v.21 no.2
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• pp.89-116
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• 2011

In collaborative tagging systems such as Delicious.com and Flickr.com, users assign keywords or tags to their uploaded resources, such as bookmarks and pictures, for their future use or sharing purposes. The collection of resources and tags generated by a user is called a personomy, and the collection of all personomies constitutes the folksonomy. The most significant need of the folksonomy users Is to efficiently find useful resources or experts on specific topics. An excellent ranking algorithm would assign higher ranking to more useful resources or experts. What resources are considered useful In a folksonomic system? Does a standard superior to frequency or freshness exist? The resource recommended by more users with mere expertise should be worthy of attention. This ranking paradigm can be implemented through a graph-based ranking algorithm. Two well-known representatives of such a paradigm are Page Rank by Google and HITS(Hypertext Induced Topic Selection) by Kleinberg. Both Page Rank and HITS assign a higher evaluation score to pages linked to more higher-scored pages. HITS differs from PageRank in that it utilizes two kinds of scores: authority and hub scores. The ranking objects of these pages are limited to Web pages, whereas the ranking objects of a folksonomic system are somewhat heterogeneous(i.e., users, resources, and tags). Therefore, uniform application of the voting notion of PageRank and HITS based on the links to a folksonomy would be unreasonable, In a folksonomic system, each link corresponding to a property can have an opposite direction, depending on whether the property is an active or a passive voice. The current research stems from the Idea that a graph-based ranking algorithm could be applied to the folksonomic system using the concept of mutual Interactions between entitles, rather than the voting notion of PageRank or HITS. The concept of mutual interactions, proposed for ranking the Semantic Web resources, enables the calculation of importance scores of various resources unaffected by link directions. The weights of a property representing the mutual interaction between classes are assigned depending on the relative significance of the property to the resource importance of each class. This class-oriented approach is based on the fact that, in the Semantic Web, there are many heterogeneous classes; thus, applying a different appraisal standard for each class is more reasonable. This is similar to the evaluation method of humans, where different items are assigned specific weights, which are then summed up to determine the weighted average. We can check for missing properties more easily with this approach than with other predicate-oriented approaches. A user of a tagging system usually assigns more than one tags to the same resource, and there can be more than one tags with the same subjectivity and objectivity. In the case that many users assign similar tags to the same resource, grading the users differently depending on the assignment order becomes necessary. This idea comes from the studies in psychology wherein expertise involves the ability to select the most relevant information for achieving a goal. An expert should be someone who not only has a large collection of documents annotated with a particular tag, but also tends to add documents of high quality to his/her collections. Such documents are identified by the number, as well as the expertise, of users who have the same documents in their collections. In other words, there is a relationship of mutual reinforcement between the expertise of a user and the quality of a document. In addition, there is a need to rank entities related more closely to a certain entity. Considering the property of social media that ensures the popularity of a topic is temporary, recent data should have more weight than old data. We propose a comprehensive folksonomy ranking framework in which all these considerations are dealt with and that can be easily customized to each folksonomy site for ranking purposes. To examine the validity of our ranking algorithm and show the mechanism of adjusting property, time, and expertise weights, we first use a dataset designed for analyzing the effect of each ranking factor independently. We then show the ranking results of a real folksonomy site, with the ranking factors combined. Because the ground truth of a given dataset is not known when it comes to ranking, we inject simulated data whose ranking results can be predicted into the real dataset and compare the ranking results of our algorithm with that of a previous HITS-based algorithm. Our semantic ranking algorithm based on the concept of mutual interaction seems to be preferable to the HITS-based algorithm as a flexible folksonomy ranking framework. Some concrete points of difference are as follows. First, with the time concept applied to the property weights, our algorithm shows superior performance in lowering the scores of older data and raising the scores of newer data. Second, applying the time concept to the expertise weights, as well as to the property weights, our algorithm controls the conflicting influence of expertise weights and enhances overall consistency of time-valued ranking. The expertise weights of the previous study can act as an obstacle to the time-valued ranking because the number of followers increases as time goes on. Third, many new properties and classes can be included in our framework. The previous HITS-based algorithm, based on the voting notion, loses ground in the situation where the domain consists of more than two classes, or where other important properties, such as "sent through twitter" or "registered as a friend," are added to the domain. Forth, there is a big difference in the calculation time and memory use between the two kinds of algorithms. While the matrix multiplication of two matrices, has to be executed twice for the previous HITS-based algorithm, this is unnecessary with our algorithm. In our ranking framework, various folksonomy ranking policies can be expressed with the ranking factors combined and our approach can work, even if the folksonomy site is not implemented with Semantic Web languages. Above all, the time weight proposed in this paper will be applicable to various domains, including social media, where time value is considered important.

• The Korean Nurse
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• v.31 no.3
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• pp.76-87
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• 1992

The purposes of study was: 1. To identify the direction and scope of research activities in Korean Nursing. 2. To discuss the unique problems present in Korea that warrant nursing research. 3. To delineate the factors that facilitate and/or hinder nursing research in Korea. This study was conducted at six colleges of nursing in Korea. The schools which were selected had doctoral programs at the time, the data were collected in 1990. Four of the schools were located in the metropolitan area of the capital city, Seoul, and two were in two other cities similar in size. The total population of the study was 283 nurses. The instrument for the research was the English version of Research Profile Questionnaire which was translated into Korean by the researchers and was validated in its translation by two professors. A pretest procedure was done before the data collection process. Of the population of 283, 210 subjects received the questionnaire and 150 subjects responded(71.4%). Excluding incomplete questionnaires, 141 questionnaires were utilized for data analysis. Data were analyzed using descriptive statistics. Responses to open-ended questions were content analyzed for themes and categories. Results of the study were as follows : Respondents currently , involved in nursing research numbered 108(76.6%), but 33(23.4%) did not have any research experience. The inexperienced respondenLs tended to be younger than the experienced subjects and most( 60.6%) were employed in hospitals, while 82.4 percent of the experienced nurses were employed in nursing schools. Among the respondents with research experience, 68.5 percent were involved in one to three projects and 31.5 percent were engaged in four or more projects. The experienced nurses indicated that nursing research in Korea is active. On the other hand, the responses of the inexperienced were that nursing research is not active. The most frequently selected research subjects were patients(76.9%, 83 respondents) followed by nurses, healthy persons and nursing students. The relatively high percentage of healthy persons as study subjects, could be explained as a concern of nurses for healthy persons as well as for ill patients. The aforememioned literature review showed a dramatic change in the kinds of study subjects; approximately 33 percent were patients but 25 percent were healthy subjects of various ages. The hospital was the prevailing research setting(67.6%) but at the same time various community settings were used. This is a changing phenomena in nursing research of Korea. Current research designed to build on previous studies amounted to 75 percent; about 39.8 percem were theory and hypothesis generated. Over 65 recommended additional research focusing on hypothesis-testing 0:' theory building. The previously quoted literature review found that only 4.0 percent of the study quescions were developed from a theoretical framework. The most frequently listed current major focus of nursmg research was stress and adaptation. Patients with cancer, pain, social support and care of the elderly were the next most frequently reported. These concerns may reflect problems associated with a technological and industrializing societyl. The most frequently identified problem was lack of clinical research. The need for replication research and research that contributes to the accumulation of nursing knowledge were found to be rare in Korean research. A need for theory testing and theory construction research was also identified. Although advanced statistical methods were often utilized in nursing research, the results were frequently considered by the interviewers not to be applicable in practice, and readers had difficulty in comprehending the findings. Even though the number of clinical nurses involved in research is increasing, it is still considered inadequate. Among 108 respondents, 83(76.9%) gave lack of time as a barrier to conducting nursing research. Over fifty percent of the respondents reported lack of funding or, personally, low confidence in research skills as barriers. The respondents offered 183 suggestions for future emphasis in nursing research. Among the 51 areas of emphasis, clinical research received the highest number and nursing intervention was next. The findings suggested that nursing research should be based on theory, be related to practice and relevant to the situation of a unique Korean culture.

• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.1
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• pp.22-34
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• 2011

In recent years, there has been an active movement toward databasing, systematizing, and unifying environmental information. Such efforts facilitate the utilization of spatial environment planning in environment conservation officially planned at the metropolitan and provincial levels. This in turn clarifies the management direction of space, thereby serving as an effective tool with which to not only conserve land, but also provide a reasonable compromise to all the related solutions at odds with one another. As such, this study forwards a method for inclusion of spatial environment planning in environment conservation plans, paying particular attention to the place, with in such a planning method, of the natural ecosystem, arguably the most sensitive arena among environmental factors. Spatial environment planning can be broadly divided as follows: first, basic direction; second, collection of spatial information; third, compilation of status of spatial environment; and fourth, management strategy for spatial environment. In particular, the second phase, namely the collection of spatial information, delineates clearly spatial information hitherto amassed by government agencies at both the national and local levels; the ensuing lists facilitate maximum utilization of the previously accumulated data. Used during the planning phase, status maps should include not only the status of land use(land cover), but also systematic data on the superior resources of the natural ecosystem as well as the status of the given spatial environment. Establishing plans for ecological networks, their conservation, and restoration areas based on the aforementioned aspects, this study sought to formulate ways in which to spatialize environment conservation plans that encompass consideration for the natural ecosystem. Devised based previous studies and examples, the compilation of status and plans as stated, applied to Gyeonggi Province, afforded an examination of the potential applicability and usability of the proposed plans. Ultimately, these will contribute not only to the establishment of plans encompassing consideration for the value and level of significance of the given natural ecosystem in spatial development planning, but also provide fundamental data for investigating appropriateness of plans and validity of location in any regional development plan.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.25 no.1
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• pp.84-103
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• 2012

Objectives : The middle school students'life style were studied with focus on Body Mass Index(BMI). Information was collected during 1st June 2009 to 10th July from 397 students(both male and female) by the subjective survey centered on personal characteristic, understanding about health in general, everyday activities, eating habits, preference in food, understanding about diet and obesity, and thoughts about fitness and diet. Methods : Students were selected from six classes by convenience sampling, then the final analysis was performed on 397 self-administered questionnaires, excepting 5 questionnaires, which have insincere answers. The data collection was carried out by SPSS(V.14.0 English Version), and the data was verified by $x^2$-test, ANOVA, multiple regression analysis. Results and Conclusion : The survey subjects were in the following distribution of body weights - underweight: 63.6%, normal weight: 29.5% and 6.9% were overweight. There was significantly different between BMI and mothers' occupation and satisfaction with school life(p<0.05). As for the analysis(multiple regression analysis) on understanding about health, the factors that affect BMI are self recognition of figure and efforts to reduce weight. In terms of efforts for one's own health, 78.2% of under weight and 82.3% of normal weight were taking active initiatives. But 85.2% of the overweight students were not giving any efforts. As for the free time activities, more than half answered, 'playing with computers'(48.4 - 66.7%, 1.57 hours on average). As for TV, on average, 2.03 hours were spent in overall. And it turned out that the overweight students spent more time watching TV by 46.49 minutes(0.77 hours) on average(p<0.05). 7.4 hours was the average sleeping time. As for the eating habit,'quantity of meal, snack, meal between meals, fat reduction, and supplementary food'were shown to be related to the BMI(p<0.05). The instant food, meat and sweet food were shown to be also related to the BMI. In terms of knowledge about overweight and diet, only 8 students(2% of the total) answered all 10 questions correct. On average, 7-8 questions were correctly answered(53.9 %). When the scores were analyzed against the BMI by classifying the scores to high, middle and low categories, it showed a relationship by different weight group(p<0.02), and the overweight students had higher score by 0.82 compared to the underweight students. When thoughts and attitude on fitness and diet were analyzed in relationship to the BMI, the result was only - "I try to eat fruits more often"(fruits)(p<0.00).

• Journal of Digital Convergence
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• v.15 no.11
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• pp.361-374
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• 2017

The purpose of this study is to investigate the effect of team-based learning on the practice of nursing practice and the effects of nursing students' meta-cognition, academic achievement, confidence in performance, self-confidence and learning satisfaction. The subjects of this study were 115 students who wanted to participate in the research in the second grade of Nursing Department of G region. The data collection period was from March 6 to June 5, 2017. The data were analyzed independence t-test and one-way ANOVA by using the SPSS 21.0 program and paired t-test for the effects of variables after the experiment, and Pearson's correlation coefficient for the correlation between the variables. The results showed that meta-cognition and the confidence in performance of team-based learning was not only increased but also statistically significant. Academic achievement was moderate, learning satisfaction was high, and meta-cognition was positively correlated with learning satisfaction. Therefore, based on the results of this study, it is necessary to activate the application of self-directed and active learning method in order to improve the nursing practice ability required in nursing field.