• Journal of Korean Biological Nursing Science
• /
• v.23 no.1
• /
• pp.72-82
• /
• 2021

Purpose: This study used a mixed methods research design in an attempt to verify the effects of robot-assisted rehabilitation on the gait ability of stroke patients with hemiplegia, and thereby further understand the benefits and challenges of stroke patients' experiences relying on robot-assisted rehabilitation. Methods: An exploratory sequential mixed methods study design was used in order to combine both quantitative and qualitative data. For the quantitative data collection, a total of 30 stroke patients with hemiplegia were recruited from one rehabilitation hospital. Qualitative data were collected through individual interviews using semi-structured questionnaires for a group of 15 patients who were currently undergoing robot-assisted rehabilitation. The data were analyzed through qualitative content analysis. Results: As a result of the quantitative analysis, there were significant differences between the two groups in terms of daily living activity patterns, total number of steps, and average walking speed. As a result of the qualitative analysis, the four main themes derived consisted of, 'curiosity about the usage of robot-assisted rehabilitation,' 'pleasure experienced while using the robots,' 'insufficient information about robots,' and 'a lack of education about robot-assisted rehabilitation.' Conclusions: Robot-assisted rehabilitation had a significant effect on the walking ability of stroke patients with hemiplegia. Additionally, stroke patients with hemiplegia experienced difficulty during the course of their robot-assisted rehabilitation, due to a lack of sufficient information on correct usage techniques. These quantitative and qualitative findings could provide the basic foundation for the development of an educational program on robot-assisted rehabilitation.

• Journal of Korean Society of Water and Wastewater
• /
• v.36 no.3
• /
• pp.149-165
• /
• 2022

The water consumption data of individual consumers must be analyzed and forecast to establish an effective water demand management plan. A k-mean cluster model that can monitor water use characteristics based on hourly water consumption data measured using automated meter reading devices and demographic factors is developed in this study. In addition, the quantification model that can estimate the daily water consumption is developed. K-mean cluster analysis based on the four clusters shows that the average silhouette coefficient is 0.63, also the silhouette coefficients of each cluster exceed 0.60, thereby verifying the high reliability of the cluster analysis. Furthermore, the clusters are clearly classified based on water usage and water usage patterns. The correlation coefficients of four quantification models for estimating water consumption exceed 0.74, confirming that the models can accurately simulate the investigated demographic data. The statistical significance of the models is considered reasonable, hence, they are applicable to the actual field. Because the use of automated smart water meters has become increasingly popular in recent year, water consumption has been metered remotely in many areas. The proposed methodology and the results obtained in this study are expected to facilitate improvements in the usability of smart water meters in the future.

• Korean Journal of Community Nutrition
• /
• v.28 no.4
• /
• pp.269-281
• /
• 2023

Objectives: This study aimed to examine the frequency of convenience food consumption at convenience stores (CVS) and the CVS usage patterns of middle and high school students as well as to understand students' attitude toward sodium and sugar reduction. Methods: We used an online questionnaire for data collection. The questionnaire comprised five distinct categories: general characteristics, CVS usage, frequency of consumption according to convenience food menus at CVS, attitude toward sodium and sugar reduction, and adherence to dietary guidelines. Results: A total of 75 students from Seoul (14 middle school students and 61 high school students) participated in the study. Most respondents visit CVS 3-5 times a week. CVS are predominantly used during weekdays, mostly during lunch, and dinner. The students mostly checked the caloric content and expiration date as food labeling information. The participants were aware of the need to reduce their sugar and sodium intake. Among frequent CVS convenience food consumers, there was an increased consideration of the need to reduce their sugar and sodium consumption, despite their actual selection of foods with high sugar and sodium content. Additionally, they did not check the sugar and sodium levels indicated in food labeling. Further, the dietary action guide from the Ministry of Health and Welfare were poorly followed by most students. Conclusions: There is a need for nutrition education specifically addressing the sugar and sodium content of the convenience foods predominantly consumed by students. Additionally, educating students with frequent convenience food consumption to actively check the sugar and sodium information on food labels could help promote healthier food choices.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.4
• /
• pp.47-54
• /
• 2024

The importance of cultural arts education utilizing digital tools is increasing in terms of enhancing tech literacy, self-expression, and developing convergent capabilities. The creation process and evaluation of innovative multi-modal AI, provides expanded creative audio-visual experiences in users. In particular, the process of creating music with AI provides innovative experiences in all areas, from musical ideas to improving lyrics, editing and variations. In this study, we attempted to empirically analyze the process of performing tasks using an Audio and Music Generative AI platform and discussing with fellow learners. As a result, 12 services and 10 types of evaluation criteria were collected through voluntary participation, and divided into usage patterns and purposes. The academic, technological, and policy implications were presented for AI-powered liberal arts education with learners' perspectives.

• Journal of the Korean Society for Library and Information Science
• /
• v.58 no.2
• /
• pp.101-120
• /
• 2024

As the number of smart libraries is continuously increasing, activation measures are necessary to expand user engagement and enhance service quality. This study analyzed the usage patterns of four smart libraries in A Library in Incheon, from June 2020 to December 2023. It also conducted user satisfaction surveys and question-and-answer sessions with a librarian. The number of books and loans increased, and two smart libraries in areas without public libraries showed high usage rates. Although users were satisfied with the smart libraries, they pointed out inconveniences such as the limited number of loan books and insufficient books. Consequently, it is suggested to improve user-centered service quality, continuous monitoring and evaluation, as well as active promotion.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.4
• /
• pp.81-86
• /
• 2024

This study aimed to assess the level of intention to tampon use among female university students and to identify factors influencing intention to tampon use. The participants were 140 female university students. Data collection was performed through an online survey using chi-squared test, spearman's correlation coefficients, and multivariable logistic regression analysis from March 13 to March 30, 2024. In this study, it was found that 63.6% of female university students had an intention to use tampon and factors influencing intention to tampon use were marital status, length of menstruation, and prior experience with tampon use. Specifically, participants who were 'unmarried', 'had menstruation lasting 5 days or shorter', and 'had previous experience with tampon use' demonstrated a higher intention to use tampons. Therefore, it is necessary to continuously monitor the changing patterns of women's menstrual product usage and intention, identify influencing factors, and establish educational and promotional strategies to provide information on the characteristics and usage of menstrual products, enabling women to choose the best products suited to their menstrual needs.

• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.522-526
• /
• 2007

Since newly emerged disease, the Severe Acute Respiratory Syndrome (SARS), spread from Asia to North America and Europe rapidly in 2003, many researchers have tried to determine where the virus came from. In the phylogenetic point of view, SARS virus has been known to be one of the genus Coronavirus, but, the overall conservation of SARS virus sequence was not highly similar to that of known coronaviruses. The natural reservoirs of SARS-CoV are not clearly determined, yet. In the present study, the genomic sequences of SARS-CoV were analyzed by bioinformatics techniques such as multiple sequence alignment and phylogenetic analysis methods as well multivariate statistical analysis. All the calculating processes, including calculations of the relative synonymous codon usage (RSCU) and other genomic parameters using 30,305 coding sequences from the two genera, Coronavirus, and Lentivirus, and one family, Orthomyxoviridae, were performed on SMP cluster in KISTI, Supercomputing Center. As a result, SARS_CoV showed very similar RSCU patterns with feline coronavirus on the both axes of the correspondence analysis, and this result showed more agreeable results with serological results for SARS_CoV than that of phylogenetic result itself. In addition, SARS_CoV, human immunodeficiency virus, and influenza A virus commonly showed the very low RSCU differences among each synonymous codon group, and this low RSCU bias might provide some advantages for them to be transmitted from other species into human beings more successfully. Large-scale genomic analysis using bioinformatics techniques may be useful in genetic epidemiology field effectively.

• Korean Journal of Human Ecology
• /
• v.10 no.2
• /
• pp.63-75
• /
• 2007

The results of this study on Purchase Patterns and Recognition of Processed Foods of School Meal Service Dietitians of elementary, junior and senior high schools in Chonbuk and Deagu Area are as follows : First, the rate of single cooking of the schools surveyed is 100% in Deagu and 66.9% in Chonbuk, and Chonbuk has more small-meal service schools which caused a higher labor cost than Deagu, Secondly, schools in Deagu has purchased not completely processed vegetables and fish and shells than Chonbuk, and Chonbuk(66.9%) has served more Kim-chi products than Deagu(41.6%). Thirdly, nutritional effects and preference have been considered as school dietitians make plans for the menu. Fourthly, the opinions of the school dietitians about processed food are in the order of high sodium content, convenience and the use of preservative, and Chonbuk has responded positively to the articles of future oriented quality, cooking usage and variety while Deagu has thought of it as an economical. The expected effects from the use of processed foods are in the order of saving labor time and student preferences. Fifthly, meat products have been frequently used and more frozen meat products have been used in Deagu and senior high school than Chonbuk and elementary and junior high schools, last, preferences on processed food are in the order of frozen sea food, noodles. dried sea food, processed vegetable and fruit, dairy goods and others. Senior high school dietitians have preferred packed meat products and other frozen processed food more than elementary and junior high school dietitians. The rate of serving processed food had a different depending on the number of students. In this study, dietitians recognize the harmful effects of processed foods over the merits, which means that the rate of using processed food is low. The proper usage of processed foods is thought to improve the preference of students, to have cooking time shortened and to help manage the meal service sanitarily and efficiently. Therefore, companies producing processed foods should do their best to develop safety and health oriented foods to gain the credibility, and the government should make new regulations for people to purchase and obtain processed foods without any doubt.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.12 no.6
• /
• pp.681-689
• /
• 2019

Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.

• Ecology and Resilient Infrastructure
• /
• v.6 no.4
• /
• pp.250-257
• /
• 2019

Recently, 357 water-friendly space were established near the main streams of the country through the Four Major Rivers Project, which was used as a resting and leisure space for the citizens, and the river environment and ecological health were improved. We are working hard to reduce the number of points and plan and manage the water-friendly space. In particular, attempts are being made to utilize mobile big data to make more scientific and systematic research on the number of users. However, when using mobile big data compared to the existing method of conducting field surveys, it is possible to easily identify spatial user movement patterns, but it is different from the actual amount of use, so various verifications are required to solve this problem. Therefore, this study evaluated the accuracy of estimating the number of users using mobile big data by comparing the number of visitors using mobile big data and the number of visitors using drone for Samrak ecological park located in the mouth of Nakdong River. As a result, in the river hydrophilic district, it was difficult to accurately estimating the usage pattern of each facility due to the low precision of pCELL, and it was confirmed that the usage patterns in the park could be distorted due to the signals stopped at roads and parking lots. Therefore, it is necessary to improve the number of pCELLs in the water-friendly space and to estimate the number of visitors excluding facilities such as roads and parking lots in future mobile big data processing.