• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.1
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• pp.91-109
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• 2013

The main objective of this research was to understand the latest trends of natural print design through the quantitative & qualitative analysis of fashion appeared in contemporary female collections. The research criteria was defined as 3 seasons from 2011 S/S to 2012 S/S. Data collection of 726 was done through review of 'pr$\hat{e}$t-$\grave{a}$-porter Collections' of three major fashion cities; Paris, Milan and NY. Statistical analysis of frequency with chi-square test was conducted. Also qualitative interpretation of natural print design' characteristics was completed. The main findings were as follows.; The average occurrence rate of natural print design from 2011SS to 2012 SS in three collections were 6.4% in Milan 6.4%, 5.5% in Paris and 6.8% in N.Y. The five source types of natural prints in contemporary women's fashion collections were identified and the order of their appearance were as follows: flowers, plants, animals, insects & marine organisms and compound one. The plant prints were expressed by stylized or realistic touch. Flower patterns showed more variables than plants, however, there were no big difference in their image and major characteristics. The animal prints demonstrated two aspects. First one used typical animal print of fur or skin, but the other one draw the animal figure like paintings. The compound source type presented the most interesting and fresh pattern design ideas. In the insects & marine organisms, mainly butterfly and seashell & starfish, etc. appeared as real shapes or sometimes were stylized.

• International Journal of Contents
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• v.17 no.1
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• pp.37-53
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• 2021

With the advent of the 5G era, smart phones and communications network technology have progressed, and mobile short video of people's life can be made, Of the new tools of communication, at present, China's social short video industry has shown rapid development, and the most representative of the short video app is Douyin (international version: Tiktok). Under the background of Uses and Gratifications Theory, this study discusse the relationship between Douyin users' preference degree, use motivation, use satisfaction and attention intention. This study divides the content of Douyin video into 10 categories, selects the form of an online questionnaire survey, uses SPSS software to conduct quantitative analysis of 202 questionnaires after screening, and finally draws the following conclusions: (1) The content preference degree of Douyin short video (the high group and low group) is different in users' use motivation, users' satisfaction degree and users' attention intention. ALL results are within the range of statistical significance.(2) Douyin users' video content preference degree has a positive impact on users' use motivation, users' satisfaction degree, and users' attention intention. (3) Douyin users' motivation has a positive impact on users' satisfaction and user' attention intention. (4) Douyin users' satisfaction degree has a positive impact on users' attention intention. Based on the research results, we suggest that Douyin platform pushes videos according to users' preferences. In addition, as the preference degree has an impact on users' motivation, satisfaction degree and attention intention of using the platform, it is important that the platform's focus should to pay attention to the preference degree of users. Collecting users' preferences at the early stage of users' entering the platform is a good way to learn from, and doing a good job of big data collection and management in the later operation.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.71-96
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• 2023

This study aimed to investigate key research areas in the field of Library and Information Science (LIS) by analyzing trends and identifying emerging topics. To facilitate the research, a collection of 40,897 author keywords from 11,252 papers published in the past 30 years (1993-2022) in five journals was gathered. In addition, keyword analysis, as well as Principal Component Analysis (PCA) and correlation analysis were conducted, utilizing variables such as the number of articles, number of authors, ratio of co-authored papers, and cited counts. The findings of the study suggest that two topics are likely to develop as promising research areas in LIS in the future: machine learning/algorithm and research impact. Furthermore, it is anticipated that future research will focus on topics such as social media and big data, natural language processing, research trends, and research assessment, as they are expected to emerge as prominent areas of study.

• Journal of the Korea Organic Resources Recycling Association
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• v.9 no.4
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• pp.117-124
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• 2001

This study was executed for utilizing it as basic data in appropriate recycling way and design by examining and analyzing various characteristics of food waste which is being discharged from various restaurant and apartment house. In general, there were differences in restaurants classification and Japanese restaurant showed big differences as compared to other restaurants. Vegetable had the highest composition and its contents had big difference according to seasons. In alien substances, oyster shells were the highest and restaurants showed high rate of alien substances than apartments, therefore it was required to divide them in advance. Salinity was the highest in Japanese restaurants and most restaurants had rate of up to 1%, so it was not appropriate for recycling. However, it was considered that if there is cleaning operation in the whole process, there might not be a problem. Feed Ingredient had 28% of fiber, 25% of protein, and 11% of fats. We analyzed noxious germs and heavy metal too. However microorganisms of etiological cause were not detected and each harmful material showed less values of control concentration. In the result of analysis of each characteristic, it is required to consider collection rate from restaurants and apartments and seasonal cause into design regarding recycling. And apartments are compatible to compost than feed and food waste from Chinese, flour restaurant and collective feeding facilities are compatible for feed, as it is evaluated.

• Journal of Korean Academy of Nursing
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• v.4 no.1
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• pp.22-37
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• 1974

Through the examination of hospitalized patient's records, this study purports to determine. the extent to which nursing record behaviors meet general expectations held for nursing records and the differences in nursing record behavior in relation to different nursing categories, period of recording and hospitals with different management patterns. Nursing record behaviors of 802 patient's records in four hospitals in Seoul were examined. by use of a check list, which was prepared by the author as an instrument for the study. Data obtained from this examination were processed into percentage values for percentage. test and chi-square test in order to determine their significance. Results are as follows; 1. Records pertaining to treatment ranked highest among all care categories in their extent of coverage, averaging 65.6 percent. 2. Of the treatment category records, records of medication led others at 94.3 percent. followed by records of test and collection of specimens at 59.9 percent. diet at 58.8 percent and treatment at 41.0 percent. 3. Records in the category of physical assessment and care averaged 44.1 percent, the second highest next to treatment category records, 4. Of the records in the category of physical assessment and care, records in vital signs. placed first at 98.9 percent, followed by sleep at 76.2 percent, body weight at 74.7 percent, symptoms and signs at 69.3 percent, rest at 44.5 percent, hygiene at 39.7 percent, activities and participation at 16.9 percent, positions at 10.3 percent, level of consciousness at 9.8 percent and physiological dysfunction at 1.1 percent in that order. 5. Records in the category of psychological assessment and care averaged 3.2 percent, the lowest of the -three major categories. 6. Of the records in the category of psychological assessment and care, records on emotional responses ranked top at 10.5 percent, followed by self-concern at 2.1 percent, adjustment at 2.0 percent, family, occupational and social relations at 0.7 percent and preferences. and interest at 0.5 percent in that order. 7. Records in relation to the category of specific conditions were found in 9.1 percent of the total records. 8. Of the records in the category of specific conditions, consultation and transfer records, stood first at 25.0 percent, followed by precautionary measurements at 1.4 percent and isolation at 0.9 percent 9. A great difference in nursing record behavior was observed between the first week of hospitalization and the last week, with the first week's recordings much higher than the last week in the categories of treatment and specific conditions (p<0.01). and of physical assessment and care (p <0.05). 10. A big difference was also observed among the hospitals (p<0.01). 11. A big difference was also observed between the government-run hospitals and the private hospitals in the categories of physical assessment and care and specific conditions in the first week of hospitalization (P<0.05l), and in the category of psychological assessment and care in the last week (P<0.05). 12. Between the hospitals established with foreign aid and the other hospitals, the difference in nursing record behavior was significant only in the category of physical assessment and care both in the first week and the last week (P<0.01). 13. The average nursing record behavior in all care categories stood at 45.1 percent in the extent of its coverage in relation to the general expectations.

• The Journal of Korean Society for School & Community Health Education
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• v.1 no.2
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• pp.17-27
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• 2000

This Study carried out for the purpose of basic data collection school teachers in Korea during September 2000 at Seoul, Kangwon province and JeonRaBuk province. 534 teachers among 600 school health teachers was analyzed by SPSS program. The major findings is as follows; 1. Mean score of Job-satisfaction is $25.52{\pm}4.46$ as 50 total point. Staff cooperation $2.96{\pm}.93$ is the highest score and promotion system $2.02{\pm}1.06$ is the lowest score as 5 total point by Job-satisfaction factor 2. Age-specific mean scores are $20.63{\pm}4.44$ at age of $20{\sim}29$, $25.77{\pm}4.15$ at age of $30{\sim}39$, $27.69{\pm}4.63$ at age of $40{\sim}49$ and $27.11{\pm}5.26$ at age of more than 50. 'Promotion', 'Health education', 'Cooperation of school physician', 'Allocation of professional' and 'Professional skill' are significantly different by age group. 3. Job-satisfaction of long period working teachers is higher than that of short workers, 'Salary system' and 'Professional skill' by factor are significantly different. 4. Job satisfaction by area is not significantly different, and 'Professional skill' as a factor of urban is higher than rural area. 5. Job-satisfaction by school level is not significantly different, and 'Health budget', 'Cooperation of school physician', 'Allocation of professional' and 'Professional skill' are significantly different by level of school. 6. Job-satisfaction of big size school is higher than that of small school and 'Health education' of big size school is high. 7. Job-satisfaction of low education is low score and 'Salary', 'Textbook for health education', 'Health facility' and 'Professional skill' are differnt. 8. 'Educational background', 'Size of school' and 'Level of school' are significantly affected to 'Salary system', this three varialbles explained 13.8% of the total. We can express job -satisfaction of 'Salary system' ; y=2.677-$.182X_6$(Education)+$.120X_5$(Size of school)+$.019X_4$(Level of school) 9. 'Age group', 'Working period' and 'Size of school' are affected to 'Cooperation of school physician', and three variables explain 13.2% of total. We can express job-satisfaction of 'Cooperation of school physician' ; y=2.644+$.247X_1$(Age)+$.179X_2$(Working period)-$.133X_5$(Size of school) 10. 'Working period', 'Education of teacher', and 'Working area' are affected professional skill, this three variables explain 13.5% of job-satisfaction of professional skill. We can express 'Professional skill' ; y=3.076+$.11X_2$(Working period)-$1.06X_6$(Education)-$.126X_3$(Working area). 11. 'Education', 'Age', 'Size of school' and 'Working period' are affected to total job-satisfaction, this four variables explain 14.2% of total satisfaction. We can express job-satisfaction of school health teacher; y=19.76-$.126X_6$(Education)+$.215X_1$(Age)+$.107X_5$(Size of school)+$.121X_2$(Working period).

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.4
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• pp.9-20
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• 2011

Future warfare paradigm is changing to network-centric warfare and effects-based operations. In order to find first and strike the enemy in the battlefield, friendly unit requires real-time target acquisition, intelligence collection, accurate situation assessment, and timely decision. The rapid development in advanced sensor technology and wireless networks requires a significant change in operational concepts of the battlefield surveillance. In particular, the introduction of a battlefield surveillance sensor network system is a big challenge to the ground forces which have lack of automated information collection assets. Therefore this paper proposes an ontology-based context-aware framework for the battlefield surveillance sensor network system which is needed for early finding the enemy and visualizing the battlefield in the ground force operations. Compared with the performance of existing systems, the one of the proposed framework has shown highly positive results by applying the context systems evaluation method. The framework has also proven to be satisfactory by the structured evaluation method using device collaboration. Since the proposed ontology-based context-aware framework has a lot of advantages in terms of scalability and reusability, the ground force's reconnaissance and surveillance system can be widely applied to expand in the future. And, ontology-based model has some weak points such as ontology data size, processing time, and limitation of network bandwidth. However, these problems can be resolved by customizing properly to fit the mission and characteristics of the unit. Moreover, development of the next-generation communication infrastructure can expedite the intelligent surveillance and reconnaissance service and may be expected to contribute greatly to expanding the information capacity.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.1-7
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• 2019

The medical environment, combined with IT technology, is changing the paradigm for medical services from treatment to prevention. In particular, as ICT convergence digital healthcare technology is applied to hospital medical systems, infrastructure technologies such as big data, Internet of Things, and artificial intelligence are being used in conjunction with the cloud. In particular, as medical services are used with IT devices, the quality of medical services is increasingly improving to make them easier for users to access. Medical institutions seeking to incorporate IoT services into cloud health care environment services are trying to reduce hospital operating costs and improve service quality, but have not yet been fully supported. In this paper, a patient information collection model from hospital IoT system, which has established a cloud environment, is proposed. The proposed model prevents third parties from illegally eavesdropping and interfering with patients' biometric information through IoT devices attached to the patient's body at hospitals in cloud environments that have established hospital IoT systems. The proposed model allows clinicians to analyze patients' disease information so that they can collect and treat diseases associated with their eating habits through IoT devices. The analyzed disease information minimizes hospital work to facilitate the handling of prescriptions and care according to the patient's degree of illness.

• Journal of the korean academy of Pediatric Dentistry
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• v.50 no.1
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• pp.1-12
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• 2023

Function of salivary gland and saliva composition can be an indicator of individual's health status. Recently, saliva has been thought to have a high potential for usage in the biomedical field to diagnose, evaluate, and prevent systemic health due to the technological advances in analyzing and detecting small elements such as immunological and metabolic products, viruses, microorganisms, hormones in saliva. As a diagnostic specimen, saliva has some useful advantages compared to serum. Because of simple non-invasive method, saliva sampling is quite comfort for the patient, and it doesn't require specialists to collect samples. The possibility of infection during the collection process is also low. For this reason, proteins, genetic materials, and various biomarkers in saliva are actively being utilized on studying stress, microbiomics, genetics, and epigenetics. For the research on collecting big data related to systemic health, the needs on biobank has been focused. Regeneration of salivary gland based on tissue engineering has been also on advancement. However, there are still many issues to be solved, such as the standardization of sample collection, storage, and usage. This review focuses on the recent trends in the field of saliva research and highlight the future perspectives in biomedical and other applications.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.3
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• pp.175-186
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• 2019

Efforts have been made to introduce the climate smart agriculture (CSA) for adaptation to future climate conditions, which would require collection and management of site specific meteorological data. The objectives of this study were to identify requirements for construction of agricultural meteorology information service system (AMISS) using technologies that lead to the fourth industrial revolution, e.g., internet of things (IoT), artificial intelligence, and cloud computing. The IoT sensors that require low cost and low operating current would be useful to organize wireless sensor network (WSN) for collection and analysis of weather measurement data, which would help assessment of productivity for an agricultural ecosystem. It would be recommended to extend the spatial extent of the WSN to a rural community, which would benefit a greater number of farms. It is preferred to create the big data for agricultural meteorology in order to produce and evaluate the site specific data in rural areas. The digital climate map can be improved using artificial intelligence such as deep neural networks. Furthermore, cloud computing and fog computing would help reduce costs and enhance the user experience of the AMISS. In addition, it would be advantageous to combine environmental data and farm management data, e.g., price data for the produce of interest. It would also be needed to develop a mobile application whose user interface could meet the needs of stakeholders. These fourth industrial revolution technologies would facilitate the development of the AMISS and wide application of the CSA.