• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.175-191
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• 2020

The purpose of this study is to find out the policy alternatives for the activation of the local culture industry in Korea. The research methodology is content analysis into law articles of local culture promotion act and framework act on the promotion of culture industries and some related acts, to review the relations between local culture promotion and the promotion of culture industries. The results of this study are the followings: Firstly, the policies for the promotion of culture industries should connect to the policies of local culture promotion. 1) Local culture industries are related with the facilities like living cultural centers and the activities of the arts organizations or clubs of residents. 2) The industrial condiitions should be considered in the process of designation of cutural city and cultural area. 3) The local cuture industry policies should be connected to raise the funds for local culture promotion. 4) The local culture industries should be connected to the cultivation of professional personnel for local cultural promotion. Secondly, for the activation of the local culture industries, the obstructive factors should be eliminated and the facilitating factors should be utilized. 1) The purpose of the culture industries should be defined as concrete and clear through the clearly prescribing the range of culrure industries. 2) The roles which have been dispersed to various agents should assigned as designated clealy and the cooperative system should be construced. 3) In designating cultural cities and cultural area, conceptual elements should be considered and the brand of the local culrure industries should be presented. 4) The background industries such as tourism industries should be utilized. 5) Governance systems should be constructed and utilized.

• Journal of the Korean Society of Floral Art and Design
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• no.43
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• pp.101-122
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• 2020

In this paper, the social paradigm is rapidly changing with the expansion of human consciousness, which has emerged as the development of 20th century science and the influence of cutting-edge media as the search for new forms of flower art sculptures. Is becoming. Accordingly, the purpose of this study is to analyze the interaction relationship of the expression elements of environmentally friendly pressed sculptures in the space as interior materials in the space where customer service is provided. (Research method) After deriving the formative expression characteristics of environmentally friendly pressed flower sculptures, and deriving interactive analysis elements between the servicescape space and humans of the pressed flower sculptures through references, service the flower sculptures for 8 installation cases The expression patterns of the interrelationships in the space of the landscape of the landscape were analyzed. (Results) The characteristics of dynamic formation and continuity were emphasized in the environment-friendly pressed sculpture space, and the interaction that the sympathetic reaction to the natural motif element felt as a new experience in space appeared. In the future, commercial spaces can be actively experienced through natural elements, and users can experience active interactions to create differentiated spaces as spaces where humans and humans coexist.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.329-346
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• 2022

Recently, as the market for short form videos (Instagram, TikTok, YouTube) on social media has gradually increased, research using them is actively being conducted in the artificial intelligence field. A representative research field is Video to Shop, which detects fashion products in videos and searches for product images. In such a video-based artificial intelligence model, product features are extracted using convolution operations. However, due to the limitation of computational resources, extracting features using all the frames in the video is practically impossible. For this reason, existing studies have improved the model's performance by sampling only a part of the entire frame or developing a sampling method using the subject's characteristics. In the existing Video to Shop study, when sampling frames, some frames are randomly sampled or sampled at even intervals. However, this sampling method degrades the performance of the fashion product search model while sampling noise frames where the product does not exist. Therefore, this paper proposes a sampling method MF (Missing Fashion items on frame) sampler that removes noise frames and improves the performance of the search model. MF sampler has improved the problem of resource limitations by developing a keyframe mechanism. In addition, the performance of the search model is improved through noise frame removal using the noise detection model. As a result of the experiment, it was confirmed that the proposed method improves the model's performance and helps the model training to be effective.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.179-194
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• 2022

After the work-study combination PBL method was first introduced into the P-Tech type in 2018, it was introduced into the degree-linked high-skilled professional course in operation as a pilot project in 2020, and ever since each department has reorganized the standard completion system to meet the PBL operation regulations and developed and operated PBL-based learning and training courses accordingly. With the expansion of the work-study combination PBL in 2021, the operating regulations were revised more elaborately. This paper examined the characteristics of the work-study combination PBL, the PBL operation regulations for each degree-linked high-skilled professional course, and the most recently implemented PBL operation regulations in detail through literature research. Based on this research, it introduced the development process and the result of the PBL-based standard completion system by the IT Convergence SW Engineering Department of KOREATECH and the result of the survey conducted to verify the suitability of the standard completion system after an operation and presented the challenges and improvements required for the degree-linked high-skilled professional course in relation to the changing operation regulations for the work-study combination PBL. This study is expected to provide universities with a reference to the development of training courses to smoothly apply the work-study combination PBL. It is also expected to contribute to the establishment and steady expansion of a unique PBL system that reflects the characteristics of work-study combination by presenting discourses on how the work-study combination PBL should develop, including high-skilled professional courses.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.95-103
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• 2022

Recently, the fourth industrial revolution has a great influence on the development of many industries as well as the construction industry. Various technologies related to the industrial revolution 4.0, such as AI and big data, have gained much attention. However, little has been known about the importance and preparedness of stakeholders of the construction industry in Korea for the industry 4.0 technologies so far. This study revealed how the stakeholders perceive and prepare for industry 4.0 using a survey. In addition, collaboration potential score for each technology was calculated to find technologies with high potential for collaboration. Result is that the importance of the technologies was evaluated high in overall, but the preparedness and implementation in university education or business was evaluated low. Technologies with high potential for industry-university collaboration are AI/big data and 3D printing/3D scanning. This study can contribute to the training of industry 4.0 experts and improving preparedness, which would enable the innovation and application of industry 4.0 technologies in the construction industry.

• Journal of Platform Technology
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• v.10 no.3
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• pp.60-68
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• 2022

As AI-technology develops, interest in the safety of autonomous driving is increasing. Recently, autonomous vehicles have been increasing, but efforts to solve side effects have been sluggish. In particular, night autonomous vehicles have more problems. This is because the probability of accidents is higher in the night driving environment than in the day environment. There are more factors to consider for self-driving at night. Among these factors, reflection of light or reflected light of lighting may be a fundamental cause of night accidents. Therefore, this study proposes method to reduce accidents and improve safety by reducing reflected light generated by the headlights of opposite vehicles or various surrounding light that appear as an important problem in night autonomous vehicles. Therefore, first, in an image obtained by a sensor of a night autonomous vehicle, illumination reflected light is extracted using reflected light characteristic information, and a color of each pixel using a reflection coefficient is found to reduce a special area generated by geometric characteristics. In addition, we find a new area using only the brightness component of the specular area, define it as Illuminated Reflection Light (IRL), and finally present a method to reduce it. Although the illumination reflection light could not be completely reduce, generally satisfactory results could be obtained. Therefore, it is believed that the proposed study can reduce casualties by solving the problems of night autonomous driving and improving safety.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.307-313
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• 2022

In Korea, youth participation in economic activities and unemployment appear at the same time, which is a more serious problem, so a study on the labor market movement can be viewed as a study to overcome youth unemployment. The purpose of this study is to examine how labor movement between the employed and the unemployed is progressing through the survey data of the youth panel among the employment panel and to identify the factors affecting the movement path and movement of the employed and the unemployed. In the case of the employed, they possessed professional qualifications, and in the case of unstable occupational status, they attempted to move to a stable position after being employed. In the case of the unemployed, the probability of failing to find a job was higher as they had no job search experience, the longer the job search period, and the less effort they made. The fact that the home environment directly or indirectly influences the movement of the labor market remains unchanged. On the other hand, the higher the educational level, the more stable, and the most stable the metropolitan area. Therefore, more urgently than ever, a plan to revitalize the local labor market through the organic relationship between the government, local governments, local industry, and local universities and balanced regional development should be sought.

• Membrane Journal
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• v.32 no.5
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• pp.348-356
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• 2022

With the development of the bio industry, membrane chromatography with a high adsorption efficiency is emerging to replace the existing column chromatography used in the downstream processes of pharmaceuticals, food, etc. In this study, through the deacetylation reaction of two commercial cellulose acetate (CA) membranes with different pore sizes, the porous regenerated cellulose (RC) supports for membrane chromatography were obtained to attach the anion exchange ligands. The adsorptive membranes for anion exchange were prepared by attaching an anion exchange ligand ([3-(methacryloylamino) propyl] trimethylammonium chloride) containing quaternary ammonium groups on the RC supports by grafting and UV polymerization. The protein adsorption capacities of the prepared membranes were obtained through both the static binding capacity (SBC) and the dynamic adsorption capacity (DBC) measurement. As a result, the membrane chromatography with the smaller the pore size, the larger the surface area showed the highest protein adsorption capacity. Membrane chromatography which was prepared by using deacetylated commercial CA support with MAPTAC ligand (i.e., RC 0.8 + MAPTAC: 43.69 mg/ml, RC 3.0 + MAPTAC: 36.33 mg/ml) showed a higher adsorption capacity compared to commercial membrane chromatography (28.38 mg/ml).

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.123-142
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• 2022

In 2000, North Korea developed and published a two-volume, <Classification-Search Term Dictionary> and is currently used throughout North Korea. The purpose of this study is to examine the development process of the classification schemes of the North Korea after liberation and to understand the contents, composition, and principles of the <Classification-Search Term Dictionary> published in 2000 and revised in 2014. Until now, all the studies of the North Korean classification schemes were studies on the <Book Classification Scheme> published in North Korea in 1964, and there has been no discussion on North Korea's classification schemes since then. The first volume of the <Classification-Search Term Dictionary> consists of 'classification symbols - search terms', and the second volume consists of 'search terms - classification symbols'. Volume 1 is based on the <Books and Bibliography Classification Scheme (1996)>, and there are a total of 41 main classes in five categories. Volume 1 allocates 1 main class (11/19) to 'revolutionary ideas and theories', 8 main classes (20~27) to 'natural sciences', 19 main classes (30~69) to 'engineering technology and applied sciences', 12 main classes (70~85) to 'social sciences', and 1 main class (90) to 'total sciences'. Volume 2 is similar to subject-headings. North Korea's <Classification-Search Term Dictionary> is the first classification scheme introduced in South Korea and is expected to be the starting point for future studies on the establishment of the standard unification classification schemes.