• Journal of Industrial Convergence
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• v.19 no.1
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• pp.99-108
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• 2021

To determine clinical nursing instructors' teaching efficacy, students' clinical practice satisfaction, and confirm between correlation, and develop a plan for operating nursing education efficiently for clinical practice. Clinical practice could create an optimal learning situation. We applied CNITEs and CPS to measure clinical nursing instructor teaching efficacy and clinical practice satisfaction. The differences in teaching efficacy by the general characteristics were measured and analyzed; the higher the level of the participants' education, position, clinical career, and clinical teaching career, the higher their teaching efficacy. The higher the age at clinical practice, the higher the clinical efficacy of clinical practitioners with clinical career and higher education level students were more satisfied with the practice subject and nursing instruction than other categories. Therefore, in order to increase the satisfaction of nursing students' practice in the clinical field, we hope to improve various things that can be used not only teaching efficacy but also in clinical practice satisfaction.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1038-1043
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• 2021

Guaranteed seafarer wage payment is essential to ensure a stable supply of seafarers. However, disputes over non-payment of wages to seafarers often occur. In this study, an automatic wage payment system was designed using a blockchain-based smart contract to resolve the problem of seafarers' wage arrears. The designed system consists of an information register, a matching processing unit, a review rating management unit, and wage remittance before deploying smart contracts. The matching process was designed to send an automatic notification to seafarers and shipowners if the sum of the weight of the four variables, namely wages, ship type/fishery, position, and license, exceeded a pre-defined threshold. In addition, a review rating management system, based on a combination of mean and median, was presented to serve as a medium to mutually fulfill the normal working conditions. The smart contract automatically fulfills the labor contract between the parties without an intermediary. This system will naturally resolve problems such as fraudulent advance payment to seafarers, embezzlement by unregistered employment agencies, overdue wages, and forgery of seafarers' books. If this system design is commercialized and institutionally activated, it is expected that stable wages will be guaranteed to seafarers, and in turn, the difficulties in human resources supply will be solved. We plan to test it in a local environment for further developing this system.

• 한국노년학
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• v.25 no.2
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• pp.143-154
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• 2005

This study was conducted to examine the environmental status, FIM(Function Independence Measure), Illness intrusiveness of home stayed stroke patients. Data were collected on 145 patients living in K city and the neighborhood located in southern part of Korea. The data were analyzed by means of SPSS program. Results : In assessment of environmental safety, 46.2%(67) felt unsafe around their residential area. The most dangerous facilities in their residence was stairs(58.2%), gas/electric facilities(14.9%). For sanitary problems, 28.2%(41) felt they have problems at their home. The most important problems were outdoor polluted toilet(22.0%) and scattered and dirty residential circumstances(22.0%). The average FIM score was 74.52(4.14) of total score 126(7). In motor area FIM was lowest at stair walking(3.01) and bathing(3.16). In cognitive area FIM was lowest at social activities(3.36). The mean score of Illness intrusiveness was 58.86(4.52) of total score 91(7). The major area largely impacted by stroke were health(5.61), working(5.68), active leisure activities(5.56). There was significant reverse correlation between FIM and illness intrusiveness(r=-0.66, p=0.00). Conclusion : It was needed environmental improvement and rehabilitation program for stroke patients, and repeated follow up study.

• Information Systems Review
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• v.25 no.1
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• pp.27-46
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• 2023

Research on restaurant recommender systems has been proposed due to the development of the food service industry and the increasing demand for restaurants. Existing restaurant recommendation studies extracted consumer preference information through quantitative information or online review sensitivity analysis, but there is a limitation that it cannot reflect consumer semantic preference information. In addition, there is a lack of recommendation research that reflects the detailed attributes of restaurants. To solve this problem, this study proposed a model that can learn the interaction between consumer preferences and restaurant attributes by applying deep learning techniques. First, the convolutional neural network was applied to online reviews to extract semantic preference information from consumers, and embedded techniques were applied to restaurant information to extract detailed attributes of restaurants. Finally, the interaction between consumer preference and restaurant attributes was learned through the element-wise products to predict the consumer preference rating. Experiments using an online review of Yelp.com to evaluate the performance of the proposed model in this study confirmed that the proposed model in this study showed excellent recommendation performance. By proposing a customized restaurant recommendation system using big data from the restaurant industry, this study expects to provide various academic and practical implications.

• Information Systems Review
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• v.21 no.1
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• pp.39-59
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• 2019

E-learning has improved the educational effect by making it possible to learn anytime and anywhere by escaping the traditional infusion education. As the use of e-learning system increases with the increasing popularity of e-learning, it has become important to measure e-learning satisfaction. In this study, we used the mixed research method to identify satisfaction factors of e-learning. The mixed research method is to perform both qualitative research and quantitative research at the same time. As a quantitative research, we collected reviews in Udemy.com by text mining. Then we classified high and low rated lectures and applied topic modeling technique to derive factors from reviews. Also, this study conducted an in-depth 1:1 interview on e-learning learners as a qualitative research. By combining these results, we were able to derive factors of e-learning satisfaction and dissatisfaction. Based on these factors, we suggested ways to improve e-learning satisfaction. In contrast to the fact that survey-based research was mainly conducted in the past, this study collects actual data by text mining. The academic significance of this study is that the results of the topic modeling are combined with the factor based on the information system success model.

• Knowledge Management Research
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• v.18 no.2
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• pp.65-83
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• 2017

Word-of-mouth (WOM), the communication between consumers offline, has transformed to include electronic word-of-mouth(eWOM), which has grown in its influence due to the advancements in communication technology. Despite the fact that many researchers have studied the impact of WOM and eWOM on the performance of movies in the movie industry, there still exists much controversy. Therefore, this study investigates the relationship of eWOM's volume and valence with the box office revenue for 2 years in Korean movies industry. The results show that the volume of eWOM, which is expected to related to awareness diffusion, is more important than the valence in the early stage of movie release. And in the later stage, the valence of eWOM which is expected to related to persuasion effect influences the box office revenue. In addition, the relationship of the volume and valence on box office revenue in both early and later stage can be increased through the interaction with the star power which raises the familiarity or the movie genre which causes the high arousal.

• Korean Journal of Food Science and Technology
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• v.29 no.1
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• pp.96-100
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• 1997

Carboxymethyl chitosan (CMC) was added to pan bread, prepared by the straight-dough method, and its effects on shelf-life, retrogradation, antimicrobial activity, water activity, and sensory quality of pan bread were evaluated. The results of differential scanning calorimetry (DSC) and thermoconstanter analysis for retrogradation indicated that shelf-life of pan bread was significantly extended by addition of CMC. Growth of microorganisms, including bakery molds (Aspergillus, Penicillium, etc.) was significantly inhibited by adding CMC to pan bread. Sensory color, off-flavor and overall acceptability of pan bread were stable during storage. However, sensory texture of control was significantly different from that of sample with added CMC.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.2
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• pp.241-249
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• 1998

Somatotypes in the lower torso and legs of adult females were classified and discriminated. Then their distribution according to the age groups was studied. The subjects were 343 females of 18 to 49 year-old. 36 anthropometric and 21 photographic measurements were taken to each subject. The results were as follows: 1. The somatotypes in the lower torso and legs were classified into 4 types and their differences were shown by analysing factor scores and anthropometric values according to each somatotype. 2. The shape characteristic of tile classified somatotypes was represented by the rating scale of Heath-Carter. 3. The lateral silhouettes of 4 types were compared with balanced type which is type 3 in this study. 4. Individual somatotype in the lower torso and legs could be discriminated from the measured anthropometric data without modifying the data. Anthropometric data, which are needed for discriminating individual somatotype, are waist circumference, posterior waist height, and hip circumference. 5. The distribution of the somatotypes in each age group showed that the dominant somatotype of each age group was different and any somatotype was shown in a specified age group but rarely in other age group.

• Journal of KIISE
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• v.44 no.6
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• pp.621-627
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• 2017

Collaborative filtering is a technique that effectively recommends unrated items for users. Collaborative filtering is based on the similarity of the items evaluated by users. The existing top-N recommendation methods are based on pair-wise and list-wise preference models. However, these methods do not effectively represent the relative preference of items that are evaluated by users, and can not reflect the importance of each item. In this paper, we propose a new method to represent user's latent preference by combining an existing preference model and the notion of inverse user frequency. The proposed method improves the accuracy of existing methods by up to two times.

• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.5-27
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• 2014

This study aims to investigate the relationship between university library usage and educational achievement of academic library users. To proceed with this study, academic library usage data were collected from S university undergraduate students. Academic achievement was measured using the students' grade point average(GPA). T-test and analysis of variance were used to compare differences of means between library usage and academic achievement with the background variables. Hierarchical regression analyses were conducted to determine the association between library usage and academic achievement. As a result, a positive correlation was found between academic achievement and the use of library resources and services according to gender, year and academic subject. In addition, academic library usage had a positive significant influence on academic achievement. Students who used more library resources and facilities ultimately get better grades.