• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.430-440
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• 2021

We analyzed research trends of 288 Korean academic dissertations and articles regarding platform work, using topic modeling and keyword network analysis method. Research disciplines of many studies were laws, business administration, and economics fields. Thigh frequent themes were platform labor protection measures and direct or indirect effects of the sharing economy. The main keywords were digital, value, industry, and labor in terms of infrastructure and structural change. Besides, the main topics were the protection of platform workers, the values of sharing services, digital paradigm, and platform regulations. Based on the results of the analysis, we derived four implications and suggestions such as researching structural frames in macroscopic contexts, generalizing case analysis, and technology supplementation by applying average and quantitative analysis methods, researching individual competency development to realize the essential symbiotic value of sustainability, and developing customized vocational education and training programs.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.163-170
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• 2021

As a big data is being used in various industries, big data market is expanding from hardware to infrastructure software to service software. Especially it is expanding into a huge platform market that provides applications for holistic and intuitive visualizations such as big data meaning interpretation understandability, and analysis results. Demand for big data extraction and analysis using social media such as SNS is very active not only for companies but also for individuals. However despite such high demand for the collection and analysis of social media data for user trend analysis and marketing, there is a lack of research to address the difficulty of dynamic interlocking and the complexity of building and operating software platforms due to the heterogeneity of various social media service interfaces. In this paper, we propose a method for developing a framework to operate the process from collection to extraction and classification of social media data. The proposed framework solves the problem of heterogeneous social media data collection channels through adapter patterns, and improves the accuracy of social topic extraction and classification through semantic association-based extraction techniques and topic association-based classification techniques.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.59-68
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• 2020

This study aims to present the direction of fostering creative and innovative future design personnel required by companies according to the trend of the times. Changes in design manpower policy and industry, academia, and government cases are examined through policy case studies. Through analysis of industry-academia project cases, we discovered that a new educational model is needed to experience the process of developing products that can be commercialized. This study is expected to be used as basic data for policy development related to program development to foster creative and innovative talents required in the design industry.

• Journal of Advanced Navigation Technology
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• v.25 no.4
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• pp.267-272
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• 2021

The end of the ROK-U.S. missile guidelines opened up the possibility of developing space launch vehicles for various platforms based on air and sea. In particular, the air-based space launch vehicle is an essential space power projection capability compared to the ground-based space launch vehicle in consideration of the geographical location of the Korean Peninsula, such as the deployment of various satellite orbits and the timely launch of satellite. In addition, compared to the ground-based launch vehicle, the cost reduction effect is large, and it has the merit of energy gain because it can be launched with the advantage of the aircraft's altitude and speed. Therefore, in this paper, the necessity of air-based space launch vehicle in the strategic environment of the Korean Peninsula is clearly presented, and through technology trend analysis of various air launch vehicle, the three methods are proposed to have the most efficient air-based space launch vehicle capability in the Korean situation.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.45-51
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• 2022

Due to the spread of COVID-19, many local governments are burdened with the influx of large-scale tourists. As a climate that values Work-Life-Balance has emerged, interest in individual life and satisfaction is rapidly increasing. In addition, due to the popularity of the metaverse field, many people are increasingly interested in related content. In particular, "Animal Crossing: New Horizons" sold more than 15 million copies in 2020, and is enjoying exchanges of interior design, fishing, and collecting insects here. In line with this trend, this study introduces the development of online fishing games based on Jeju infrastructure. This paper focuses on implementation and development, and in particular, it introduces differentiated games through character animation optimized for developing a topographic model that maximizes the beauty of Jeju Island's topography based on the Unity 3D engine.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.71-77
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• 2022

It is a reality that office workers in modern society cannot overlook their appearance management for promotion in the workplace that does not fall behind in competition with others and smooth human relationships. According to this social trend, it is time to conduct an in-depth cosmetology study on the appearance management and perception of office workers, including hair styles. Therefore, this study analyzed the hair style type and preference closely by cross-analyzing the differences between groups by classifying the occupational persons of female airline crew, female soldiers, female sportsmen, female lawyers, and female nurses into age, marriage, academic background, and occupation. As result of study, it was found that different women in each occupational group had different results, such as their current hair style type and hair texture, the use of current hair styling products, and their personal preference for women's hairstyles and hair colors. This study will be used as basic data for developing new mode items that meet customer needs in the beauty marketing market and researching customer demand.

• The Research Journal of the Costume Culture
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• v.30 no.3
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• pp.414-428
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• 2022

The goal of this study was to develop a curriculum based on practice and job competency, reflecting opinions on the required job competence of nail practitioners and professionals related to nail beauty. Through in-depth interviews with nail experts, the research focuses on developing nail beauty competency-based curriculum and curriculum profiles that reflect practitioners' needs of job competence in the field. In-depth interviews with 11 field experts and surveys of 154 people were conducted to develop a competency-based curriculum for beginner nail hairdressers. The results of this study show that the existing 38 National Competency Standards (NCS) job competencies were reduced to 21 job competencies. In addition, based on the common opinions of experts who reflect the current trend, two tasks on "eyelashes" and "waxing" were added, and they were modified and supplemented with 23 core competencies. The development of a competency-based curriculum and educational programs for nail beauty was performed based on the requirements of the core competencies investigated and the development of a systematic map for the core competencies of beginner nail technicians and hairdressers. In conclusion, the need for professional education and training for nail hairdressers is growing, and it can be seen that a curriculum building multi-faceted abilities is needed for their qualifications as experts. This study found that it is necessary to develop interpersonal communication skills that include marketing elements other than practical skills such as personality and customer response methods in the nail beauty curriculum.

• Smart Structures and Systems
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• v.29 no.1
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• pp.77-91
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• 2022

Various monitoring systems have been implemented in civil infrastructure to ensure structural safety and integrity. In long-term monitoring, these systems generate a large amount of data, where anomalies are not unusual and can pose unique challenges for structural health monitoring applications, such as system identification and damage detection. Therefore, developing efficient techniques is quite essential to recognize the anomalies in monitoring data. In this study, several machine learning techniques are explored and implemented to detect and classify various types of data anomalies. A field dataset, which consists of one month long acceleration data obtained from a long-span cable-stayed bridge in China, is employed to examine the machine learning techniques for automated data anomaly detection. These techniques include the statistic-based pattern recognition network, spectrogram-based convolutional neural network, image-based time history convolutional neural network, image-based time-frequency hybrid convolution neural network (GoogLeNet), and proposed ensemble neural network model. The ensemble model deliberately combines different machine learning models to enhance anomaly classification performance. The results show that all these techniques can successfully detect and classify six types of data anomalies (i.e., missing, minor, outlier, square, trend, drift). Moreover, both image-based time history convolutional neural network and GoogLeNet are further investigated for the capability of autonomous online anomaly classification and found to effectively classify anomalies with decent performance. As seen in comparison with accuracy, the proposed ensemble neural network model outperforms the other three machine learning techniques. This study also evaluates the proposed ensemble neural network model to a blind test dataset. As found in the results, this ensemble model is effective for data anomaly detection and applicable for the signal characteristics changing over time.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.781-786
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• 2021

Korean domestic workers are trend to avoid harmful and dangerous jobs calls 3D work due to the poor working conditions. Therefore, the incoming population of foreign workers is increasing to fulfill the required labor force. Mostly these foreign workers are placed in small and medium-size industries. As work that induces musculoskeletal disorders(WMSD) is equally exposed to domestic workers as well as foreign workers, this study attempted to investigate the work burdened by musculoskeletal disorders and derive improvement measures by understanding the actual conditions of the worksites of foreign workers. The result of this investigation defines that the possibility of developing musculoskeletal disorders is very high in the environment in which more than 40% of the respondents work with heavy objects and repetitive work of wrists and elbows. To prevent the symptoms of musculoskeletal disorders among foreign workers, three measures were proposed. To reduce the mandatory check-up period of WMSD under the Occupational Safety and Health Act, to revise the employment permit system, and to enhance the practical help of EPS education. Safety and health management of foreign workers is becoming an essential task not only for securing a workforce but also for the national image. Personal and economic losses at the national level should be minimized through policy support such as financial support for small and medium-sized businesses in Korea and supplementation of legal systems for the protection of foreign workers.

• Journal of Oriental Neuropsychiatry
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• v.33 no.3
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• pp.287-299
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• 2022

Objectives: The purpose of this study was to analyze the trend of natural product-based products for sleep improvement in Korean patents, to enhance the development and application of natural-products for sleep disorder in terms of Korean medicine. Methods: We collected patent data using the KIPRIS database and ScienceON database. Two authors independently screened patents that potentially met the criteria, and assessed full texts of screened patents for eligibility. Included patents were analyzed, quantitatively as well as qualitatively. Results: A total of 60 patents were selected 2008-July 2022. The number of patents have been on the rise since 2017, and reached 12 in 2018. Companies have registered the most patents, followed by the Industry-University Cooperation Foundation. Zizyphi semen (n=6), Lactuca sativa L. (n=5), Valeriana fauriei/officinalis (n=4), Poria cocos (n=4) were frequently used herbs among 60 patents. Twenty-one patents (35%) included medicinal herbs with sleep improving effects. Among 60 patents, alcohol extraction (70%) was mostly used, followed by water immersion (50%), and hot water extraction (48.3%). Conclusions: Analysis results showed that various Korean medicine herbs, are being used for natural-products for sleep disorder. The results will be helpful towards inventing new patents using Korean medicine, developing natural product extracts for sleep improvement, and extending the range of these products in clinical use.