• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.203-208
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• 2011

Most of the online learning systems provide information that is based on the item difficulty what is custumized to learner. And the same learning process is performing to the same learning level learners. But, the degree of understanding of the same learning contents can be different even if the learner's level is same. Therefore, it is difficult to represent an effective learning experience because the learning is progressed by the determined difficulty of learning and the learning process even thought the provided content is difficult to understand. So we can control the learning difficulty during learning in order to escape from a uniform learning that online learning is provided. In this paper, we proposed a contents reorganization method for Self-Directed Learning. In this way, learners can understand their own level and customize the difficulty of learning. And then we expect the higher learning effect and satisfaction degree.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.6
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• pp.63-74
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• 2005

In Electronic Commerce, the latest most of the personalized recommender systems have applied to the collaborative filtering technique. This method calculates the weight of similarity among users who have a similar preference degree in order to predict and recommend the item which hits to propensity of users. In this case, we commonly use Pearson Correlation Coefficient. However, this method is feasible to calculate a correlation if only there are the items that two users evaluated a preference degree in common. Accordingly, the accuracy of prediction falls. The weight of similarity can affect not only the case which predicts the item which hits to propensity of users, but also the performance of the personalized recommender system. In this study, we verify the improvement of the prediction accuracy through an experiment after observing the rule of the weight of similarity applying Vector similarity, Entropy, Inverse user frequency, and Default voting of Information Retrieval field. The result shows that the method combining the weight of similarity using the Entropy with Default voting got the most efficient performance.

• Journal of Korean Academy of Nursing
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• v.40 no.4
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• pp.551-560
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• 2010

Purpose: The purpose of this present study was to develop and evaluate the psychometric properties of a needs scale for patients with cancer undergoing follow-up care (NS-C). Methods: A preliminary NS-C of 48 was derived from literature reviews and in-depth interviews with patients with cancer. Content validation of the items was established by oncology physicians and nurses. Each item was scored on a five-point Likert scale. The preliminary NS-C and Eastern Cooperative Oncology Group (ECOG) performance status questionnaires were administered to 873 patients with cancer recruited from three university hospitals. The data were analyzed using factor analysis, multidimensional scaling analysis, ANOVA, Pearson correlation coefficients, and Cronbach's alpha. Results: From the factor analysis, 25 significant items in six subscales were derived. The subscales were named physical symptoms, diet and exercise, support, relationship with health professionals, treatment/prognosis, and keeping mind under control. The NS-C also established item convergent and discriminant validity, and known-groups validity. Cronbach's alpha of the subscales ranged from .90 to .92. Conclusion: This study suggests that the NS-C is an easy, reliable and valid instrument to measure the needs of patients with cancer. Health professionals may use the NS-C for patients with cancer both in practice and research.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.276-283
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• 2019

The purpose of this study is to evaluate the usefulness of automatic exposure control (AEC) by analyzing entrance surface dose (ESD) and entropy on using automatic exposure and manual exposure. The experimental method was to measure the dose by placing a semiconductor dosimeter on the Rando Phantom for the Pelvis, Abdomen, Skull, and Chest regions. The DICOM file was simultaneously acquired and then entropy was analyzed by using Matlab. As a result, when using the automatic exposure control, dose of all sites was lower than manual exposure's dose and entropy was high. In addition, paired t-test was performed for each item and p<0.05 was found in each item. In conclusion, the use of automatic exposure control can be a useful method to contribute to the optimization of the exposure dose and the image quality by reducing the amount of unnecessary radiation amount and information loss that can occur in X-ray examination.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.402-405
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• 2022

The purpose of this study was to investigate the satisfaction of clinical practice for university students in the physical therapy department. 163 students participated in the study. The subjects completed an online survey that consisted of 36 clinical practice satisfaction questions and 5 questions of general characteristics. The collected data was analyzed by using frequency analysis, independent t-test, one-way ANOVA and Scheffe post hoc analyses with a significant level of 0.05. The students' satisfaction of clinical practice was 3.84 in average on a scale of 5. The students' satisfaction was the highest for the item 'Satisfaction after clinical practice', and the lowest for the item 'Internal conflict in clinical practice' and 'Evaluation of clinical practice'. The students' satisfaction of clinical practice showed significant differences according to the satisfaction of the major (p<.001), however, no significant difference according to gender, grade, training period and practice institution.

• Journal of Korean Academy of Nursing
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• v.53 no.3
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• pp.324-339
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• 2023

Purpose: This study aimed to valuate the reliability and validity of the Korean version of the 5C Psychological Antecedents of Vaccination (K-5C) scale. Methods: The English version of the 5C scale was translated into Korean, following the World Health Organization guidelines. Data were collected from 316 community-dwelling adults. Content validity was evaluated using the content validity index, while construct validity was evaluated through confirmatory factor analysis. Convergent validity was examined by assessing the correlation with vaccination attitude, and concurrent validity was evaluated by examining the association with coronavirus disease 2019 (COVID-19) vaccination status. Internal consistency and test-retest reliability were also evaluated. Results: Content validity results indicated an item-level content validity index ranging from .83 to 1, and scale-level content validity index, averaging method was .95. Confirmatory factor analysis supported the fit of the measurement model, comprising a five-factor structure with a 15-item questionnaire (RMSEA = .05, SRMR = .05, CFI = .97, TLI = .96). Convergent validity was acceptable with a significant correlation between each sub-scale of the 5C scale and vaccination attitude. In concurrent validity evaluation, confidence, constraints, and collective responsibility of the 5C scale were significant independent predictors of the current COVID-19 vaccination status. Cronbach's alpha for each subscale ranged from .78 to .88, and the intraclass correlation coefficient for each subscale ranged from .67 to .89. Conclusion: The Korean version of the 5C scale is a valid and reliable tool to assess the psychological antecedents of vaccination among Korean adults.

• The Journal of Korean Academy of Sensory Integration
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• v.21 no.1
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• pp.1-10
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• 2023

Objective : This study aimed to identify the relationship between sensory processing and personality in college students by using five personality factors. Methods : The study was conducted between October and December 2022 with 149 college students majoring in health studies. Sensory processing was evaluated using the Adolescent/Adult Sensory Profile (AASP), and personality was evaluated using the International Personality Item Pool (IPIP). The data collected were analyzed by descriptive statistics, frequency analysis, and Pearson correlation analysis, and the Statistical Package for the Social Sciences (SPSS) was used. Results : Extraversion and agreeableness showed a significant correlation with all sensory processing types. Neuroticism showed a positive correlation with all types of sensory processing other than sensory seeking, while openness to experience showed a positive correlation with sensory seeking. Conscientiousness showed a negative correlation with low registration and sensory sensitivity type (p<.01). Conclusion : This study found a relationship between sensory processing type and personality type through an evaluation of five personality in college students. This information can be used to find solutions to various problems that college students.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.1
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• pp.1-9
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• 2024

This study was motivated by the need to identify the characteristics of professionals involved in planning exterior spaces in urban development projects and to provide guidelines for maintaining the identity of urban images. Urban development's impact on external spaces can alter the image of the urban structure, especially due to the many boundaries between urban and rural areas. Therefore, there is a need for public standards for external spaces in such projects. This study collects and analyzes experts' opinions to understand the characteristics of each professional, selects the relative importance of each, and uses this as a guideline for step-by-step deliberation in planning external spaces. The research scope includes analyzing each expert's characteristics based on the external space evaluation items from Lee Limjeong's 2023 study, which builds upon existing research, and presenting the importance and priority of each expert. As a methodology, a questionnaire was conducted for each expert group using the indicators established in Lee Lim Jung's 2023 study for external spaces in urban development projects. An in-depth analysis was performed using the Analytic Hierarchy Process (AHP) for each expert. Using AHP analysis, the composite weight for each of the 17 detailed items was first adjusted by the number of item weights to account for the classification level of the large and detailed items. Then, the composite importance was calculated by multiplying the importance of the large, medium, and detailed classifications. The calculated composite importance was finally adjusted by applying the number of item weights again, ensuring the sum of the 17 importance values equals 1. The final importance calculated through this process was then presented by occupation.

• Journal of Food Hygiene and Safety
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• v.27 no.3
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• pp.317-324
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• 2012

In order to determine an authenticity of food ingredient, we used DNA barcode method by universal primers. For identification of animal food ingredients, LCO1490/HCO2198 and VF2/FISH R2 designed for amplifying cytochrome c oxidase subunit1 (CO1) region and L14724/H15915 for cytochrome b (cyt b) region on mitochondrial DNA were used. Livestock (cow, pig, goat, sheep, a horse and deer) was amplified by LCO1490/HCO 2198, VF2/FISH R2 and L14724/H15915 primers. Poultry (chicken, duck, turkey and ostrich) was amplified by LCO1490/HCO 2198 and VF2/FISH R2 primers. But, Fishes (walleye pollack, herring, codfish, blue codfish, trout, tuna and rockfish) were only amplified by VF2/FISH R2 primers. For plant food ingredients, 3 types of primers (trnH/psbA, rpoB 1F/4R and rbcL 1F/724R) have been used an intergenic spacer, a RNA polymerase beta subunit and a ribulose bisphosphate carboxylase region on plastid, respectively. Garlic, onion, radish, green tea and spinach were amplified by trnH/psbA, rpoB 1F/4R and rbcL 1F/724R. The PCR product sizes were same by rpoB 1F/4R and rbcL 1F/724R but, the PCR product size using trnH/psbA primer was different with others for plants each. We established PCR condition and universal primer selection for 17 item's raw materials for foods and determine base sequences aim to PCR products in this study. This study can apply to determine an authenticity of foods through making an comparison between databases and base sequences in gene bank. Therefore, DNA barcode method using universal primers can be a useful for species identification techniques not only raw materials but also processed foods that are difficult to analyze by chemical analysis.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.89-103
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• 2019

Recently, various approaches to recommendation systems have been studied in terms of the quality of recommendation system. A recommender system basically aims to provide personalized recommendations to users for specific items. Most of these systems always recommend the most relevant items of users or items. Traditionally, the evaluation of recommender system quality has focused on the various predictive accuracy metrics of these. However, recommender system must be not only accurate but also useful to users. User satisfaction with recommender systems as an evaluation criterion of recommender system is related not only to how accurately the system recommends but also to how much it supports the user's decision making. In particular, highly serendipitous recommendation would help a user to find a surprising and interesting item. Serendipity in this study is defined as a measure of the extent to which the recommended items are both attractive and surprising to the users. Therefore, this paper proposes an application of serendipity measure to recommender systems to evaluate the performance of recommender systems in terms of recommendation system quality. In this study we define relevant or attractive unexpectedness as serendipity measure for assessing recommendation systems. That is, serendipity measure is evaluated as the measure indicating how the recommender system can find unexpected and useful items for users. Our experimental results show that highly serendipitous recommendation such as item-based collaborative filtering method has better performance than the other recommendations, i.e. user-based collaborative filtering method in terms of recommendation system quality.