• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.47-56
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• 2022

The article defines the principles of formation of digital marketing strategy of enterprises in the conditions of intensification of competition on the international market. The stages of development of digital marketing strategy of enterprises in the conditions of intensification of competition in the international market are substantiated, which includes: setting goals, which envisages observance of the principles of SMART-scheme; product or service analysis; monitoring of competitors; analytics of definition and segmentation of the target audience of the enterprise; selection of digital marketing tools and channels for promotion on the international market of products or services; formation of a unique, unique trade offer, selection of indicators for evaluating the effectiveness of digital marketing strategy and its tools. It is proved that according to the principle of SMART method of goal setting it is necessary that the goals have: specificity, measurability, achievability, relevance, achievement of the goal should be limited in time, have specific deadlines. To increase the effectiveness of digital marketing strategy, it is necessary to analyze the internal and external environment using the method of SWOT-analysis, the advantage of which is a comprehensive assessment of the company, competitors and the industry as a whole in the face of competition in the international market. The main indicators of evaluation of the effectiveness of digital marketing strategy in the conditions of intensification of competition on the international market are substantiated.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.10
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• pp.427-436
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• 2022

Korea Trade-Investment Promotion Agency (KOTRA) annually publishes the trade data in South Korea under the guidance of the Ministry of Trade, Industry and Energy in South Korea. The trade data usually contains Gross domestic product (GDP), a custom tariff, business score, and the price of export items in previous and this year, with regards to the trading items and the countries. However, it is challenging to figure out the meaningful insight so as to predict the future price on trading items every year due to the significantly large amount of data accumulated over the several years under the limited human/computing resources. Within this context, this paper proposes a multi layer perception that can predict the future price of potential trading items in the next year by training large amounts of past year's data with a low computational and human cost.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.557-566
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• 2022

This study aims to investigate Jinju silk companies, production items, and silk industry supporting projects from 2019 to 2021 in order to discuss the current status of the silk industry. The following are this study's methods: First, a list of Jinju silk companies that have been operating for the past three years (2019-2021) was prepared to investigate the current status of the Jinju silk industry. Second, an investigation was conducted into the representative products produced in Jinju over the past three years; this investigation was conducted using direct interview. Third, an investigation was conducted on the projects that supported the Jinju silk industry over the past three years, and the list of members of the Gyeongnam Textile and Jinju Silk Industry Cooperative Association-a facility of Gyeongsangnam-do Province, the Jinju City Hall brochure (2019), and the SMINFO(SMall business status INFOrmation System) were utilized for this purpose. The following are the results: First, Jinju silk companies are classified into four categories, namely weaving, dyeing, twisting, and designing companies. According to data from 2021, 83% (34 of 41) of silk companies were weavers. Second, the demand for solid fabrics has increased over the past three years. The demand for patterned jacquard fabrics in producing Hanbok and Western-style clothing has decreased. Third, support for the Jinju silk industry could be classified into five categories: support for the operation of silk research institutions, support for the diversification of Jinju silk, support for the promotion of Jinju silk, support for the operation of silk manufacturers, and others.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.367-375
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• 2021

This study aimed to identify the knowledge structure of researches on 'untact' and derived implications for directions for the studies using text mining. The study included network analysis and topic modelling of keywords and abstracts from 171 thesis published until October 2020. Centrality analysis showed that 'untact' studies had been focused on service, usage, consumption, technology and online. From the topic modelling, 6 topics such as 'COVID-19 and socio-technological change', 'needs and utilization of education contents', 'technology and service for user convenience', 'product marketing and sales', 'service design of the company', 'influence factors of usage and consumption' were extracted. Keywords that connect each topic were technology, service, usage, consumption, needs and factor. Exploratory analysis of 'untact' researches using text mining provides useful results for development of 'untact' studies.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.823-831
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• 2021

In the Internet age, the digital cultural industry is booming, start-up companies want to win a place in the fiercely competitive red sea market of the Internet, innovative business models have become an important challenge and opportunity for countless companies. Taking the virtual idol "Hatsune Miku" as the example, the analysis is carried out at the levels of technological innovation, value proposition, resource combination, operation process and marketing model. By comparing the differences between the first-generation software Meiko of Crypton and the second-generation software "Hatsune Miku", we will study the components of the business model to explore the characteristics and advantages of this business model, and in-depth operation models and innovations. The analysis is expected to provide a substantial reference for other electronic product and software development companies in their business models.

• Current Photovoltaic Research
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• v.10 no.2
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• pp.56-61
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• 2022

Recently, the expansion of the domestic solar market due to the promotion of eco-friendly and alternative energy-related policies is promising, and it is expected to lead the high-efficiency/high-power module market based on M10 or larger cells to reduce LCOE, 540-560W, M12 based on M10 cells Compared to the existing technology with an output of 650-700W based on cells, it is necessary to secure competitiveness through the development of modules with 600W based on M10 cells and 750W based on M12 cells. For the development of high efficiency/high-power n-type bifacial, it is necessary to secure a lightweight technology and structure due to the increase in weight of the glass to glass module according to the large area of the module. Since the mechanical strength characteristics according to the large area and high weight of the module are very important, design values such as a frame of a new structure that can withstand the mechanical load of the Mechanical Load Test and the location of the mounting hole are required. In this study, a structural analysis design model was introduced to secure mechanical reliability according to the enlargement of the module area, and the design model was verified through the mechanical load test of the actual product. It can be used as a design model to secure the mechanical reliability required for PV modules by variables such as module area, frame shape, and the location and quantity of mounting holes of the structural analysis model verified. A relationship of output drop can be obtained.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.867-871
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• 2022

Amid the recent rapid trend change, the change in design has a great impact on the sales of fashion companies, so it is inevitable to be careful in choosing new designs. With the recent development of the artificial intelligence field, various machine learning is being used a lot in the fashion market to increase consumers' preferences. To contribute to increasing reliability in the development of new products by quantifying abstract concepts such as preferences, we generate new images that do not exist through three adversarial generative neural networks (GANs) and numerically compare abstract concepts of preferences using pre-trained convolution neural networks (CNNs). Deep convolutional generative adversarial networks (DCGAN), Progressive growing adversarial networks (PGGAN), and Dual Discriminator generative adversarial networks (DANs), which were trained to produce comparative, high-level, and high-level images. The degree of similarity measured was considered as a preference, and the experimental results showed that D2GAN showed a relatively high similarity compared to DCGAN and PGGAN.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.591-596
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• 2022

Since 4-bar linkage widely used in various industrial fields has a fixed link length, it is inconvenient to add an independent link structure or control device to change the movement of output link. Therefore, this paper proposes a new concept of variable 4-bar linkage mechanism to selectively adjust the movement of the output link to fit desired situations, and applied to the commercial table fans, which is a representative product using a 4-bar linkage system. The optimal rotation angle steps for efficiency are determined experimentally and the appropriate lengths of linkage to fit each step are calculated analytically. Changes in the linkage length are implemented by the rotational motion using a grooved cylindrical cam and the feasibility of the proposed variable linkage mechanism is verified through fabrication and measurement. The presented variable link mechanism is expected to improve the efficiency of industrial robots and fuel valve systems.

• The Research Journal of the Costume Culture
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• v.31 no.4
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• pp.430-451
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• 2023

This study examines the effect of cosmetic certification marks on consumer behavior. The underlying objectives of this study are threefold. First, it explores whether the certification mark inserted into the cosmetic package-such as marks denoting quality assurances, ethical practices (specifically, pertaining to animal testing), and recycling packaging-affects consumer responses. Second, it investigates whether a higher number of certification marks leads to heightened positive consumer responses. Third, it analyzes the potential moderating effect of consumers' certification mark knowledge on the relationship between certification marks and consumer responses. In the pretest, certification marks with higher recognition were selected as stimuli, and a survey involving a total of 550 male and female consumers was conducted. The collected data were analyzed through ANOVA and post-hoc tests. The findings of this study confirm a significant difference in consumer responses to products based on the certification marks inserted in the cosmetic packaging. Compared to clusters without a certification mark, groups with two or more certifications (recycling certification + ethics certification, recycling certification + quality certification, recycling certification + ethics certification + quality certification) exhibit significant consumer responses. Second, more certification marks did not result in an increase in positive consumer responses. Third, a moderating effect of consumers' cosmetic certification knowledge on the certification mark-consumer response relationship was not found. The findings of this study have implications for developing product promotion strategies that leverage cosmetic certification marks as a marketing tool.

• Physical Therapy Rehabilitation Science
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• v.11 no.4
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• pp.414-420
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• 2022

Objective: In this study, the test-retest reliability and validity were presented to evaluate the usability of isokinetic rehabilitation equipment for the knee joint. Design: Cross-sectional design, reliability & validity study. Methods: Thirty healthy adults participated in the study. A CSMI dynamometer was used as a standardized measuring device to present the validity of the equipment. It was measured based on the dominant leg. The average peak torque value was selected as the measurement variable. After the measurement, a questionnaire was conducted on safety, satisfaction, and performance through the usability evaluation questionnaire. Results: The knee joint isokinetic rehabilitation equipment showed high reliability with Intraclass Correlations Coefficients (ICC) =0.883~0.956. In order to check the validity of the equipment, the 95% confidence interval of the mean difference limit was confirmed by the Bland & Altman plot. As a result, all three angular velocities showed a smaller confidence interval in the flexion than in extension. There were less than 10 plots that were not included in 2 Standard Deviation (SD) between all measurements. As a result of the usability evaluation questionnaire, the average of the safety domain(4.9±0.4), satisfaction domain(4.1±0.8), performance domain(4.3±0.8). Conclusions: If the product is improved by supplementing the items identified in the usability evaluation process, it is judged that it can be used as a useful device in various knee joint rehabilitation fields.