• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.1-17
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• 2015

In domestic game market, the video game market is getting smaller and also decreasing funds and high level developers. So we need the software that can help us to make more realistic and high quality contents by non-expert developer in poor environments. In this paper, we selected global studio's animations which were scored good evaluation by public and critics as a well-made emotional expression that can convey the emotion properly. We selected movements that express emotions from the animation scripts by using Ekman's 6 basic emotions and Greimas' dynamic predicate, and then we had analyzed and categorized with the data. We also analyzed the movements for which data we needed to create specific movements to express emotions by using 'Animation Layer' that used in Unity's blending process. And suggest concept of the program that to create the emotional expression movements by using those analyzed data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.11 no.2
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• pp.45-58
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• 2001

There are relatively many research results of the validation of the cryptography. But few researches on the validation of cryptography implementations were accomplished. However, developer\`s misunderstanding the crypto-algorithm or a mistake in implementation of the crypto-a1gorithm leads to lose reliability of security products. Therefore, as validation of the crypto-algorithm itself also validation of the implementation is important. The major objective of this paper is to propose Security Products Validation Tool. Our tool validates implementation of the public key algorithm (RSA. KCDSA) and hash algorithm (SHA-1, HAS-170). The validation process is composed of several items and our tool performs validation teats for conformance to related standard.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.4
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• pp.54-63
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• 2010

The recently-introduced Special Use Permit system is an exceptional approval system for private park developers to develop unexecuted urban park sites into urban parks with the implementation of profit-generating businesses within the boundary of preserving the original function of the park under an agreement with local authorities. This thesis studies the application of this system. This is a feasibility study of cases that have contributed to the acceptance of intended park sites by developing some parts of park sites as public housing, focused on unexecuted urban park areas for the long term in Suwon City based on the Special Use Permit, and creating other sites as park area. First, it has been judged that realization of business is possible at 300 percents of the floor area ratio in case of flatland neighborhood park which has high appraised land values. It is judged that realization of business is possible within a 10 percents size of private land at 200 percents of the floor area ratio in case of woodland and waterside neighborhood parks that have low appraised land values on the outskirts of the city. Second, through working expenses combining compensation and money for park construction, a balance of business profit can be understood within about 50 percents of total expenditures. Because the public contribution ratio by the Special Use Permit can be presumed as about 50 percents of total expenditures, it implies that windfall profits by the Special Use Permit can be adequately collected.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.389-395
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• 2020

This discussion is a study that proposes to introduce a strategy to positively interpret the narrative meaning in media language based on a generalized cognitive environment in order to activate correct media literacy in the era of cultural convergence. have. In particular, by using advertising content that has the most reinforced creativity related to cultural interpretation, it was induced to grasp the informational manifestation of that era and to reproduce meaning interpretation with relevance. In addition, it attempted to utilize an argumentative writing strategy in the process of reproducing Korean language learners' writing, which was capable of cognitive interpretation. The intention of the public service advertisement content developer always expects a positive effect in the social and cultural aspect, and the learner dreams of reflection and a correct future through the effect. The research on activating media literacy in the era of cultural convergence, which I intended, has not yet been much discussed. We hope that the proposed discussion of this study will be actively utilized in mass media language education of the contents of textbooks for Korean language learners, and we are sorry for the part that does not contain quantitative analysis contents, and we expect the results in subsequent thesis.

• Journal of Wind Energy
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• v.15 no.1
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• pp.5-10
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• 2024

Offshore wind power generation has significant advantages, including enhanced energy security and job creation. However, despite these benefits, South Korea has not fully utilized its potential in this sector. In contrast, offshore wind power industry development in Europe has been driven by government leadership. Drawing from this experience, South Korea also needs to relax regulations, strengthen necessary infrastructure, and enhance financial support systems to activate the offshore wind power industry. For this, sustained government leadership is absolutely essential. Without addressing the capacity issues in the power grid, we cannot expect offshore wind power generation to succeed. To address grid issues, we propose the enactment of a special law called the "Special Act on Grid Expansion." Considering KEPCO's financial situation, private investment should be encouraged for grid construction. The role of developers is crucial for the successful development and operation of offshore wind power. They manage risks throughout various stages, from site acquisition to construction and operation, which have a significant impact on the success or failure of projects. Since domestic developers currently lack experience in offshore wind power, a cooperative strategy that leverages the experience and technology of advanced countries is necessary. Energy issues should be recognized as important tasks beyond mere political ideologies, as they are crucial for the survival of the nation and its development. It is essential to form a public consensus and implement ways for residents to coexist with offshore wind power, along with the conservation of marine ecosystems and effective communication with stakeholders. Expansion of the offshore wind power industry requires support in various areas, including financial and tax incentives, technology research investment, and workforce development. In particular, achieving carbon neutrality by 2050 necessitates the activation of offshore wind power alongside efforts by major corporations to transition to renewable energy. South Korea, surrounded by the sea, holds significant offshore wind power potential, and it is our responsibility to harness it as a sustainable energy source for future generations. To activate the offshore wind power market, we need to provide financial and tax support, develop infrastructure and research, and foster a skilled workforce. As major corporations transition to renewable energy to achieve carbon neutrality by 2050, offshore wind power must play a significant role. It is our responsibility to fully utilize South Korea's potential and make offshore wind power a new driver of growth.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.1
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• pp.39-47
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• 2016

Repair methods of aging concrete pavement are generally used composite structure pavements, such a composite structure is subjected to a large impact on the mechanical behavior and ensure long-term commonality integrated under vehicle loads, environmental loads of the public in accordance with the bond strength between old and new concrete. A common of bonded concrete overlays that are currently available is Interface arrangements using a variety of equipment to ensure the excellent bond strength between old and new concrete than standard concrete, mixed with a material such as a polymer in order to improve the adhesion with the material itself. However, these method of constructions are being applied, depending on the developer site presents no special specifications apply when a specific application criteria objectively, this is due to the situation of each individual method, which is based on the difficulty in quality control of the site manager. In this study by performing a field test for polymer content via the variables that contribute most significantly to ensure bond strength and the field element core of the interface processing method and materials to ensure bond strength between the old and the new concrete, it was to derive the construction site construction method that can improve the performance of the bond strength through a review of the construction around the correlations and the bond strength according to the effective performance analysis of the conventional surface treatment process and variation of polymer volume fraction.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.495-509
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• 2020

This study is a theoretical research to explore ways to effectively learn AI in the age of intelligent information driven by artificial intelligence (hereinafter referred to as AI). The emphasis is on presenting a teaching method to make AI education accessible not only to students majoring in mathematics, statistics, or computer science, but also to other majors such as humanities and social sciences and the general public. Given the need for 'Explainable AI(XAI: eXplainable AI)' and 'the importance of storytelling for a sensible and intelligent machine(AI)' by Patrick Winston at the MIT AI Institute [33], we can find the significance of research on AI storytelling learning model. To this end, we discuss the possibility through a pilot study targeting general students of an university in Daegu. First, we introduce the AI storytelling(AI+ST) learning method[30], and review the educational goals, the system of contents, the learning methodology and the use of new AI tools in the method. Then, the results of the learners are compared and analyzed, focusing on research questions: 1) Can the AI+ST learning method complement algorithm-driven or developer-centered learning methods? 2) Whether the AI+ST learning method is effective for students and thus help them to develop their AI comprehension, interest and application skills.

• Korean Journal of Heritage: History & Science
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• v.49 no.3
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• pp.224-239
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• 2016

This article aims to review the major problems of the present Korean management system of archaeology and to seek desirable suggestions in order to pursue the sustainable harmony between the recovery of academic excavations and economic development. In order to continue the sustainable harmony between preserving the values of archaeological resources as limited pure public goods and economic development, the present system of developer's payment for archaeology must be replaced by the introduction of the development fee for archaeology. The excavation of archaeological resources have been done according to the market principle, that is, the lower price principle. But the principle has produced a lot of serious problems in the Korean management system of archaeology, which must result in the market failure. So the governmental intervention is urgently required. By introducing the development fee, the archaeological field units and the developers can avoid direct contact. Instead, the Heritage Management Office will operate the excavation fund raised by the development fee for archaeology in order to avoid low-price contracts, degrading excavation quality, and other related residents' complaints and social conflicts in advance. In addition, the budget for purchasing the preserved excavation sites, which are the source of the landowners' enormous complaints, must be allocated to the Heritage Management Office by the Ministry of Planning and Finance. More budget for small-sized excavations must be allocated as well in order to solve many residents' complaints. These budget increase will be the fundamentals to decrease the residents' big complaints and social conflicts in relation with the archaeological management, which will be a challenge of the Korean government. Along with the governmental efforts, the archaeological field units must do their all-out efforts to overcome many problems in excavation including low-price contracts. Finally, the wage system and working status system must be revised. Excellent young excavators must be recruited appropriately and continue to work in a safe psychological condition, which are the basis to guarantee high-quality excavation.