• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.119-137
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• 2022

Recent recommendation system studies apply various deep learning models to represent user and item interactions better. One of the noteworthy studies is ONCF(Outer product-based Neural Collaborative Filtering) which builds a two-dimensional interaction map via outer product and employs CNN (Convolutional Neural Networks) to learn high-order correlations from the map. However, ONCF has limitations in recommendation performance due to the problems with CNN and the absence of side information. ONCF using CNN has an inductive bias problem that causes poor performances for data with a distribution that does not appear in the training data. This paper proposes to employ a Vision Transformer (ViT) instead of the vanilla CNN used in ONCF. The reason is that ViT showed better results than state-of-the-art CNN in many image classification cases. In addition, we propose a new architecture to reflect side information that ONCF did not consider. Unlike previous studies that reflect side information in a neural network using simple input combination methods, this study uses an independent auxiliary classifier to reflect side information more effectively in the recommender system. ONCF used a single latent vector for user and item, but in this study, a channel is constructed using multiple vectors to enable the model to learn more diverse expressions and to obtain an ensemble effect. The experiments showed our deep learning model improved performance in recommendation compared to ONCF.

• Korean Journal of Clinical Pharmacy
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• v.32 no.3
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• pp.215-225
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• 2022

Background: Patients with hematologic cancers have a risk of drug-related problems (DRPs) from medications associated with chemotherapy and supportive care. Although the role of oncology pharmacists has been widely documented in the literature, few studies have reported its impact on cost reduction. This study aimed to describe the activities of oncology pharmacists with respect to hematologic diseases and evaluate the associated cost avoidance. Methods: From January to July 2021, patients admitted to the department of hemato-oncology at Seoul National University, Bundang Hospital were studied. The activities of oncology pharmacists were reported by DRP type following the Pharmaceutical Care Network version 9.1 guidelines, and the acceptance rate was calculated. The avoided cost was estimated based on the cost of the pharmacy intervention, pharmacist manpower, and prescriptions associated with the intervention. Results: Pharmacists intervened in 584 prescriptions from 208 patients during the study period. The most prevalent DRP was "adverse drug event (possibly) occurring" (32.4%), followed by "effect of drug treatment not optimal" (28.6%). "Drug selection" (42.5%) and "dose selection" (30.3%) were the most common causes of DRPs. The acceptance rate of the interventions was 97.1%. The total avoidance cost was KRW 149,468,321; the net profit of the avoidance cost, excluding labor costs, was KRW 121,051,690; and the estimated cost saving was KRW 37,223,748. Conclusion: Oncology pharmacists identified and resolved various types of DRPs from prescriptions for patients with hematologic disease, by reviewing the prescriptions. Their clinical service contributed to enhanced patient safety and the avoidance of associated costs.

• Korean Journal of Culture and Social Issue
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• v.28 no.3
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• pp.393-417
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• 2022

The current study analyzes the usage of social network services(SNS) according to one's collectivistic and individualistic tendency and the relationship with addiction. Additionally, the study attempted to controll intrapersonal variables such as gender, personalitly, and age, which affect SNS the usage. Also, Collectivistic-individualistic tendency in SNS and offline environment may not correspond to one another. Therefore, the study measured the collectivistic-individualistic tendency regarding of the two environment separately. For this purpose, we designed a new measurement scale to measure collectivistic-individualistic tendencies in for the SNS by involving a kin vs nonkin context. The sample consisted of 253 adolescents ranging from 13 to 15 years old and 246 adults ranging from 18 to 25 years old, which sums up to 499 samples in total. Results indicated that individualistic tendency within SNS showed a positive relationship with the amount of SNS usage and SNS addiction. Furthermore, female users spent more time on SNS and showed a higher level addiction than males. While adults had longer experience with SNS and spent more time on it daily than adolescents, they did not show a significant difference in regards to SNS addiction. The correlation analysis indicated that collectivistic-individualistic tendencies in SNS were weakly correlated to that of offline environments. The kin individualistic tendency in SNS significantly predicted SNS addiction after controlling for the effect of age, personality, gender, and offline collectivistic-individualistic tendency. Taken together, these findings indicate the need for an appropriate collectivistic-individualist tendency scale that correspond to the SNS context. The results also suggest that kin individualistic tendency in the SNS environment can be the main factor for SNS addiction.

• Knowledge Management Research
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• v.23 no.2
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• pp.193-210
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• 2022

The rapid development of mobile technology and the improvement of network speed are providing convenience to various services, and mobile shopping malls are no exception. Although efforts are being made to promote sales by combining various technologies such as customized recommendations using big data and specialized personalization services based on artificial intelligence, most mobile shopping malls have the same detailed page information structure including detailed product information. In this context, in this study, it was determined that the content layout of the product detail page and the mobile product detail page layout tailored to the consumer's preference should be presented according to the consumer's preference. Based on Higgins' Regulatory Focus Theory, a study of consumer propensity revealed that the content layout arrangement on a product detail page, when presented in an F-shape, informs the consumer that it is organized. If presented in a Z-shape, vivid information was recognized, and it was examined whether the product attitude and purchase intention were affected. As a result, when the content layout composition was presented as a layout arrangement in the form of a sense of unity and organization, prevention-focused consumers were positively affected by product attitudes and purchase intentions, and promotion-oriented consumers felt freedom. When presented in an arrangement, it was confirmed that the product attitude and purchase intention were affected.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.2
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• pp.285-298
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• 2022

This study is to investigate the effects and characteristics of science and engineering integrated lessons on elementary students' creative engineering problem solving propensity (CEPSP). The science and engineering integrated lessons used in this study was a 10 lesson-hours STEM program, co-developed by University of Minnesota and Purdue University. The program was implemented in the 6th grade science class of H Elementary School located in P Metropolitan city. The main data of this study are the pre-post CEPSP result and interview with 5 students collected before and after the research. The CEPSP result was analyzed by a paired-sample t-test and hierarchical cluster analysis. As a result of the t-test, it was found that overall, the program has a positive effect on the students' CEPSP score. As a result of cluster analysis, it was confirmed that studnets' CEPSP could be classified into two groups (lower and higher score cluster). Five students whose, CEPSP score has significantly improved after the lessons were interviewed to find out what the characteristics of the program that contribute the significant change are. As a result of conducting centroid analysis of the interview transcription and the hybrid analysis method, it was found that the meaningful experiences that the five students commonly shared were 'problem solving through collaboration' and 'through repeated experiments (redesign)', problem solving' and 'utilization of scientific knowledge'. As minor reactions, 'choice of the best experimental method' and 'difference between science and engineering' appeared.

• Journal of Korea Water Resources Association
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• v.56 no.9
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• pp.587-602
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• 2023

Due to climate change, population growth, and economic development, the demand for water in the urban water system (UWS) and the energy required for water use constantly increase. Therefore, beyond the traditional method of considering only the water sector, the Nexus approach, which considers synergies and trade-offs between the water and energy sectors, has begun to draw attention. In previous researches, the Nexus methodology was used to demonstrate that the UWS is an energy-intensive system, analyze the water-energy efficiency relationship surrogated by energy intensity, and identify climate (long-term climate change, drought, type), geographic characteristics (topography, flat ratio, location), system characteristics (total supply water amount, population density, pipeline length), and operational management level (water network pressure, leakage rate, water saving) effects on the UWS. Through this, it was possible to suggest the direction of policies and institutions to UWS managers. However, there was a limit to establishing and implementing specific action plans. This study built the energy intensity matrix of the UWS, quantified the impact of city conditions, external influences, and operational management levels on the UWS using the water-energy Nexus model, and introduced water-energy efficiency criteria. With this, UWS managers will be able to derive strategies and action plans for efficient operation management of the UWS and evaluate suitability and validity after implementation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.383-393
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• 2023

We attempted to provide a way to improve job satisfaction by analyzing the relationship between the factors influencing job satisfaction directly or indirectly by the ecological system factors of long-term care worker who provide elderly care services at home benefit institutions. In this study, job satisfaction was confirmed to have a positive (+) correlation with all ecological factors except for social and cultural environmental factors by setting the causal relationship between the social and social characteristics of long-term care worker and job satisfaction as dependent variables. The factors with the highest correlation with job satisfaction were social support, followed by family support, job conditions, trust in welfare policies for the elderly, self-efficacy, and self-esteem. Therefore, it can be seen that nursing care workers who recognize positive support from the surrounding social network and family surrounding nursing care workers and positively recognize job conditions are generally positive.

• Journal of The Korean Society of Grassland and Forage Science
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• v.43 no.1
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• pp.1-10
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• 2023

This study aimed to confirm the importance ratio of climate and management variables on production of orchardgrass in Korea (1982-2014). For the climate, the mean temperature in January (MTJ, ℃), lowest temperature in January (LTJ, ℃), growing days 0 to 5 (GD 1, day), growing days 5 to 25 (GD 2, day), Summer depression days (SSD, day), rainfall days (RD, day), accumulated rainfall (AR, mm), and sunshine duration (SD, hr) were considered. For the management, the establishment period (EP, 0-6 years) and number of cutting (NC, 2nd-5th) were measured. The importance ratio on production of orchardgrass was estimated using the neural network model with the perceptron method. It was performed by SPSS 26.0 (IBM Corp., Chicago). As a result, EP was the most important variable (100%), followed by RD (82.0%), AR (79.1%), NC (69.2%), LTJ (66.2%), GD 2 (63.3%), GD 1 (61.6%), SD (58.1%), SSD (50.8%) and MTJ (41.8%). It implies that EP, RD, AR, and NC were more important than others. Since the annual rainfall in Korea is exceed the required amount for the growth and development of orchardgrass, the damage caused by heavy rainfall exceeding the appropriate level could be reduced through drainage management. It means that, when cultivating orchardgrass, factors that can be controlled were relatively important. Although it is difficult to interpret the specific effect of climates on production due to neural networking modeling, in the future, this study is expected to be useful in production prediction and damage estimation by climate change by selecting major factors.

• Korea Trade Review
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• v.42 no.2
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• pp.319-344
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• 2017

The international standard certification evaluates the extend to which the supplier satisfies the international standard certification standards of the supplier of the product and the service, recognizes the quality assurance ability and reliability of the supplier, thereby resolving the international trade regulation that can occur to various fields and strengthening the network of the global partnership it is making an important contribution. Therefor, in this study, the survey was conducted on 153 companies of Korean import and export companies. The research method was empirically analyzed by the structural equation model. The results of the hypothesis test of this study are as follows. First, resource management factors among the international standard certification factors in the global trade supply chain integration had a positive effects on CRM satisfaction. Second, the measurement, analysis and improvement factors of international standard certification factors had a positive effects on CRM satisfaction. Third, CRM satisfaction has a positive effects on business performance. Through this study, it is concluded that the Korean import and export companies have an important role in improving the business performance of the global trade partners.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.3
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• pp.499-510
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• 2023

Recently, an intelligent and advanced cyber attack attacks a computer network of a public institution using a file containing malicious code or leaks information, and the damage is increasing. Even in public institutions with various information protection systems, known attacks can be detected, but unknown dynamic and encryption attacks can be detected when existing signature-based or static analysis-based malware and ransomware file detection methods are used. vulnerable to The detection method proposed in this study extracts the detection result data of the system that can detect malicious code and ransomware among the information protection systems actually used by public institutions, derives various attributes by combining them, and uses a machine learning classification algorithm. Results are derived through experiments on how the derived properties are classified and which properties have a significant effect on the classification result and accuracy improvement. In the experimental results of this paper, although it is different for each algorithm when a specific attribute is included or not, the learning with a specific attribute shows an increase in accuracy, and later detects malicious code and ransomware files and abnormal behavior in the information protection system. It is expected that it can be used for property selection when creating algorithms.