• International journal of advanced smart convergence
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• v.11 no.1
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• pp.19-27
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• 2022

Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.191-198
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• 2022

This study was to provide education on hand hygiene and personal protective equipment(PPE) to nursing students and to investigate the effects of knowledge, attitude, and self-efficacy. This was a single group, pre-post quasi-experimental design. This study was conducted from October 28 to November 30, 2021 using a structured questionnaire targeting 18 students in the 3rd year of college nursing. Data analyzed by descriptive statistics and paired t-test. As a result of the study, hand hygiene knowledge (t=3.33, p=.004) and PPE knowledge (t= -11.02, p<.001) significantly increased through hand hygiene and PPE education, and attitude toward personal protective equipment (t =-2.76, p=.013) and self-efficacy (t=-3.69, p=.002) all significantly increased. Therefore, based on the results of this study, it is considered necessary to develop a systematic and repetitive hand hygiene and personal protective equipment education program, and it will be used as basic data for program development.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.355-363
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• 2022

Purpose : The purpose of this study was to investigate the double mediating effect of ego-resilience and impulsivity in the effects of smartphone addiction on depression among office workers. Research design, data and methodology : The subjects of this study were office workers working in four cities: Seoul, Daejeon, Chungnam, and Chungbuk Province, and the total number of respondents was 286. Descriptive statistics, difference test (t-test, ANOVA), correlation analysis, and double-mediated effect analysis were used for statistics. Results : The results of this study are as follows. First, as a result of the difference analysis, there was no difference in depression according to the general characteristics of the subjects of this study, such as gender, age, marital status, and salary. Second, as a result of correlation analysis, smartphone addiction showed a negative correlation with ego-resilience, and a positive correlation with impulsivity and depression. Also, ego-resilience showed negative correlation with impulsivity and depression. Impulsivity showed a positive correlation with depression. Third, as a result of dual mediating effect analysis, it was found that ego-resilience and impulsivity played double-mediated role between smartphone addiction and depression. Conclusions : Based on the results of this study, theoretical measures centered on ego-resilience were discussed and presented in order to positively induce the decrease in impulsivity and depression due to smartphone addiction among office workers.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.801-806
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• 2022

In the modern era, the necessity of color capability in the digital era is the demand of the era, and research on improving color practice on the subdivided digital four areas that are not in the existing practice is needed. For digital majors who are difficult to solve in existing paint color practice, classes in digital color practice in four more specialized areas are needed, and the use of efficient artificial intelligence was studied for classes in digitized color and color sense. In this paper, we tried to show the expansion of the color practice area by suggesting digital color practice and color matching method based on Photoshop artificial intelligence and big data technology that existing color and color matching were practice that only CMYK could do. In addition, based on the color quantification data of individual users provided by the latest Adobe Sceney program artificial intelligence, the purpose of the practice was to improve learners' predictions of actual color combinations and random colors using filter effects. In conclusion, it is a study on the use of programs that eliminate ambiguity in the mixing process of existing paint practice, secure digital color details, and propose a practical method that can provide effective learning methods for beginners and intermediates to develop their senses through artificial intelligence support. The Adobe program practice method necessary for coloration and main color through theoretical consideration and improvement of teaching skills that are better than existing paint practice were presented.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.463-470
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• 2022

The purpose of this study was to identify the effects of online practicum based on action learning on self-directed learning ability, academic self-efficacy, and cooperation ability of nursing students. Similar experimental study of single group pre-post test design was used to investigate the effects of this online class. A total of 47 nursing students who were junior grade from one college participated in this study and self-administered questionnaire was used for data collection. Data were analyzed by frequencies, paired t test using the SPSS/Window 21.0 program. The result of this study showed that the improvement after online practicum based on action learning was significant in self-directed learning ability(t=3.832, p<.001), academic self-efficacy(t=4.258, p<.001), and cooperation ability(t=3.853, p<.001). These findings imply the value of online practicum based on action learning to enhance competency of nursing students. In the future, more studies should be conducted in the same group including control group and blended learning method using action learning to validate the effectiveness.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.373-379
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• 2021

This study intends to test the effects of blended learning and case based learning on learning strategies, critical thinking disposition and academic self-efficacy for undergraduate nursing students. A one group pre-post design was applied to adult nursing of 23 nursing students. Data were collected between March 2 and April 30, 2021. Data were analyzed by using SPSS/WIN 23.0. The results showed that learning strategies(t=-2.43, p=.019) and sub-factor cognitive strategy (t=-2.22, p=.031), meta cognitive strategy(t=-2.59, p=.013) and resource management strategy (z=-2.46, p=.014) were significantly higher than levels before blended learning and case based learning. Critical thinking disposition(t=-1.14, p=.262) and academic self-efficacy(t=-.34, p=.734) were higher than levels before but was no significantly. In conclusion, It was confirmed that blended learning and case based learning is an effective educational program that improves learning strategies of nursing students. In the future, it is necessary to develop a program in which blended learning and case based learning can improve critical thinking disposition and academic self-efficacy, and to verify the effectiveness.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.397-404
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• 2021

The web-based crowdfunding platform provides small-cap companies the opportunity to reduce financial risks and to reliably produce new products through pre-orders. Meanwhile, crowdfunding projects are also helping companies as a channel to test new products before mass production. Despite these advantages, from the point of view of businesses and consumers, it is true that web-based crowdfunding platforms have limitations in the retail environment. For example, the limited social elements of a web-based platform are somewhat in conflict with the basic characteristics of crowdfunding projects - which inevitably demand high social influences for the success. As such, understanding the mechanisms of social factors of crowdfunding platforms from the consumers' perspective is important. Therefore, in this study, we empirically tested the effect of social factors of crowdfunding platform on consumer participation and evaluation. Based on the Social Influence Theory and Social Presence Theory, we developed a conceptual framework where the social group size and social presence of other backers were the independent variables and the purchaser's intention to participate as the dependent variable. In the results, the size of the social group size and the perceived social presence have a significant positive effect on purchaser's participation intent. In addition, the social presence had a greater influence on the purchaser's intention to participate than the size of the sponsor's social group. We believe that our findings contribute to the extant literature by empirically demonstrating the valid effect of social factors of crowdfunding platforms on consumer evaluations.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.267-278
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• 2021

This study differentiated it from previous studies by selecting Chinese lifestyle shops in the current situation where lifestyle shops are rapidly emerging due to the increase in single-person households in China and changes in consumption patterns. The purpose of this study is to present basic data for establishing VMD strategies for domestic lifestyle shops wishing to enter China through the analysis of the characteristics of VMD elements. The results of this study are as follows.The research results are as follows. In the display elements of the VMD of Chinese lifestyle shops-GAROSU, CH'IN, and Nome, the appliances and props used differentiated shapes and materials according to the product concept and design. There seemed to be a difference depending on the concept of the lifestyle shop. Also, there were differences in the form of VP and the presentation method of PP and IP in VP, PP, and IP according to the store product group and the amount of products displayed in the presentation element. In a follow-up study, it is considered meaningful to conduct a study on domestic lifestyle shops and a comparative analysis of VMD between Chinese and domestic lifestyle shops.

• Animal Bioscience
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• v.35 no.3
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• pp.484-493
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• 2022

Objective: This study was conducted to evaluate the effects of the supplementation of diets of broiler chickens with hot-melt extruded CuSO₄ (HME-Cu) on their growth performance, nutrient digestibility, gut microbiota, small intestinal morphology, meat quality, and copper (Cu) bioavailability. Methods: A total of 225 broilers (Ross 308), one-day old and initial weight 39.14 g, were weighed and distributed between 15 cages (15 birds per cage) in a completely randomized experimental design with 3 treatments (diets) and 5 replicates per treatment. Cages were allotted to three treatments including control (without supplemental Cu), IN-Cu (16 mg/kg of CuSO₄), and HME-Cu (16 mg/kg of HME processed CuSO₄). Results: The HME-Cu treatment tended to increase the overall body weight gain (p<0.10). The apparent digestibility of Cu was increased by supplementation of HME-Cu at phase 2 (p<0.05). The Escherichia coli count in cecum tended to decrease with the supplementation with Cu (p<0.10). In addition, the HME-Cu treatment had a higher pH of breast meat than the control and IN-Cu treatments (p<0.05). Significant increases in the cooking loss, water-holding capacity, and lightness in the breast were observed in the HME-Cu treatment compared to the control (p<0.05). The Cu content of excreta increased with the Cu supplementation (p<0.05). The concentration of excreta Cu in broilers was decreased in the HME-Cu compared to the IN-Cu in phase 2 (p<0.05). The Cu concentration in the liver was increased with the HME-Cu supplementation, compared with the control diets (p<0.05). Conclusion: This study showed that HME-Cu supplementation at the requirement level (16 mg/kg diets) in broiler diets did not affect the growth performance and the physiological function of Cu in broilers. However, supplementation of Cu in HME form improved the meat quality and the bioavailability of Cu.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.387-392
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• 2022

To participate in global carbon neutrality, the Korean government is also planning to carry out zero-energy building certification for all buildings by 2030 through the enforcement decree of the 'Green Building Support Act'. Accordingly, the government is providing various projects related to solar power generation, which are relatively close to life. In particular, roof-mounted photovoltaic power generation systems are attracting attention in terms of using unused space to produce energy without destroying the environment, but low power generation efficiency compared to other photovoltaic power generation facilities is pointed out as a disadvantage. Therefore, in this paper, to solve this problem, we propose an efficient solar panel angle variable system through research on the solar panel structure for single-axial solar tracking, and also consider the application environment of the roof-mounted solar power generation system. Suggests measures to prevent damage and secondary damage. In addition, it is judged that it is possible to control the solar panel based on ICT convergence and configure the accident prediction safety system to link the project-based education program.