• KIPS Transactions on Computer and Communication Systems
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• v.10 no.12
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• pp.329-342
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• 2021

The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.753-757
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• 2008

The objects of this study are to increase the efficiency and competitiveness for construction management and field supervision by using IT technology which is a trend of construction industry thesedays. Using RFID technology can play an important role to achieve the goal, but it is necessary to research a standard of using frequency, specific, protocol, package method and reading method because it is hard to apply RFID to physical, chemical, environmental specifics. In this study as a part of planning research to standardize, a limitation item Is conducted with RFID tag attached building materials, and RFID Tag goods which solve the restriction are produced to conduct a field application test. From the result, available reading distance is different according to physical and environmental specifics. Furthermore because the different application method and attaching method make a various management efficiency, the current management of construction materials is analyzed and applied to a construction field to provide to various limitation items and recovery plan.

• Journal of Korean Library and Information Science Society
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• v.53 no.1
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• pp.231-263
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• 2022

The understanding and capability to utilize artificial intelligence (AI) incorporated technology has become a required basic skillset for the people living in today's information age, and various members of the university have also increasingly become aware of the need for AI education. Amidst such shifting societal demands, both domestic and international university libraries have recognized the users' need for educational content centered on AI, but a user-centered service that aims to provide personalized recommendations of digital AI educational content is yet to become available. It is critical while the demand for AI education amongst university students is progressively growing that university libraries acquire a clear understanding of user intention towards an AI educational content recommender system and the potential factors contributing to its success. This study intended to ascertain the factors affecting acceptance of such system, using the Extended Technology Acceptance Model with added variables - innovativeness, self-efficacy, social influence, system quality and task-technology fit - in addition to perceived usefulness, perceived ease of use, and intention to use. Quantitative research was conducted via online research surveys for university students, and quantitative research was conducted through written interviews of university librarians. Results show that all groups, regardless of gender, year, or major, have the intention to use the AI-related Educational Content Recommendation System, with the task suitability factor being the most dominant variant to affect use intention. University librarians have also expressed agreement about the necessity of the recommendation system, and presented budget and content quality issues as realistic restrictions of the aforementioned system.

• Korean Journal of Construction Engineering and Management
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• v.5 no.4 s.20
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• pp.122-129
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• 2004

The purpose of this study is to propose a way that improves the construction management for remodeling of building. The study attempts to deal with the case study for application and suggests some positive and negative lessons. The main contents and results of the study are as follows. (1) Through the repetitive joint meetings among the various participants, decision making for the remodeling process can be speeded up. (2) Clear work order and communication for work scope can be accomplished by using perspective drawing in design phase. (3) Reliable construction planning and scheduling for remodeling of building can be proposed through case study. (4) By a sound survey, conflict elements can be resolved in advance. Also reasonable procurement plan of equipments and multi-skilled labor can be important factors to keep a construction schedule in time. (5) Through the comparison a case project with other sites having a similar work scope, improvement effect in a time and cost aspect was analyzed quantitatively. The study also recommends that, as a future research, the remodeling process model be developed for more general applications in remodeling of building.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2006.06a
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• pp.185-207
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• 2006

산업단지는 지난 30년간 한국 산업의 성장을 이끌어 온 발전모형으로서 존재하여 왔으나, 최근 지식에 기초한 혁신창출형 경제체제가 국가 및 지역사회의 경쟁력을 위한 핵심요소로 부각되면서 '효율성' 측면에서 그 의미가 크게 퇴색되었다. 이를 위한 대안으로서 '클러스터'가 대두되어 다양한 분석연구가 수행되고 있으며, 정부와 지방자치단체들은 이를 바탕으로 각자의 특색에 맞는 클러스터 조성 정책을 펼치고 있다. 그러나, 기존의 연구들은 클러스터의 종류 및 발전단계에 관한 프레임워크 제시 등의 이론적 수준에 국한되어 있거나, 지역사례 연구를 통한 성공요인분석(CFS) 및 단순한 정책방향 제시 수준에 머물러 있는 한계를 보이고 있다. 본 연구는 '클러스터'에 관한 선행연구를 분석해 보고, 클러스터의 중요한 판단기준이 되는 군집도와 네트워크 연계 정도를 기준으로 한 '$2{\times}2$ 클러스터 전략격자모형'을 효과적인 클러스터 구축전략 수립을 위한 이론적 틀로서 제시하였다. 또한, 분석틀에 실질적인 사례로서 '충북지역의 SW산업'을 전략격자모형에 대응시켜 분석함으로써 전략격자의 유용성을 제시하였다. 이를 위해, 충북지역의 SW 공급업체와 수요업체를 대상으로 설문조사를 실시, 분석한 후 그 결과를 전략격자모형에 대응시켰다. 그 결과, 충북지역의 SW산업은 아직 산업단지 수준에 있는 것으로 분석되었고 충북의 SW산업의 충북 내의 수요만으로는 더 큰 성장이 어려운 것으로 분석, 지역 내에서의 수요창출을 목표로 하는 '단일 클러스터' 구축보다는 지역적 제약을 벗어난 '매가 클러스터'의 구축으로 지역 내외에서의 수요창출이 가능한 클러스터의 구축을 그 대안으로 제시하였다.${\alpha}$에 E. coli Jm109의 plasmid pBX19, pBR322를 전이시켰다. 6. L. lactis ssp. lactis 균주에 lysozyme 처리시 30${\sim}$80%의 생존율을 보였으며, 대부분의 L. acidophilus 균주의 경우 약 70%의 생존율을 보였다. L. casei 102S의 경우는 45분간 처리 시에도 100%의 생존율을 보였다. 8. L. lactis ssp. lactis 균주에 pLZ12를 6.0kV에서 전이시킨 결과 12.5kV에서보다 형질전환 효율이 훨씬 높았으며 lysozyme 처리에 의해 형질전환 효율이 증가되었다. 9. L. acidophilus 균주에 pLZ12를 전이시 6.0kV에서는 전이가 모두 이루어졌으나, 12.5kV에서는 L. acidophilus WIESBY와 NCFM에서 전이가 이루어지지 않았으며, lysozyme 처리 후 pLZ12를 전이시켰을 때 12kV보다 6.0kV에서 형질전환 효율이 증가되었다. 10. Gene Pulser와 Progenitor II를 사용하여 pLZ12를 L. lactis ssp. lactis 균주에 전이하였을 때 Gene Pulser에 비해 Progenitor II의 형질전환 효율이 현저히 떨어졌다. L. acidophilus HY7008과 HY7001은 두 기기 모두 형질전환이 이루어졌으나, L. acidophilus WEISBY와 NCFM은 Progeni-tor II에서 전이가 일어나지 않았으며, Gene Pulser에서 전이균주를 얻어 두 electroporator간에 형질전환 효율의 차이를 보였다. 11. L. casei 102S에 pLZ12

• Economic and Environmental Geology
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• v.56 no.3
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• pp.311-330
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• 2023

Development of Carbon Capture and Storage (CCS) technique is becoming increasingly important as a method to mitigate the strengthening effects of global warming, generated from the unprecedented increase in released anthropogenic CO₂. In the recent years, the characteristics of basaltic rocks (i.e., large volume, high reactivity and surplus of cation components) have been recognized to be potentially favorable in facilitation of CCS; based on this, research on utilization of basaltic formations for underground CO₂ storage is currently ongoing in various fields. This study investigated the feasibility of underground storage of CO₂ in basalt, based on the examination of the CO₂ storage mechanisms in subsurface, assessment of basalt characteristics, and review of the global research on basaltic CO₂ storage. The global research examined were classified into experimental/modeling/field demonstration, based on the methods utilized. Experimental conditions used in research demonstrated temperatures ranging from 20 to 250 ℃, pressure ranging from 0.1 to 30 MPa, and the rock-fluid reaction time ranging from several hours to four years. Modeling research on basalt involved construction of models similar to the potential storage sites, with examination of changes in fluid dynamics and geochemical factors before and after CO₂-fluid injection. The investigation demonstrated that basalt has large potential for CO₂ storage, along with capacity for rapid mineralization reactions; these factors lessens the environmental constraints (i.e., temperature, pressure, and geological structures) generally required for CO₂ storage. The success of major field demonstration projects, the CarbFix project and the Wallula project, indicate that basalt is promising geological formation to facilitate CCS. However, usage of basalt as storage formation requires additional conditions which must be carefully considered - mineralization mechanism can vary significantly depending on factors such as the basalt composition and injection zone properties: for instance, precipitation of carbonate and silicate minerals can reduce the injectivity into the formation. In addition, there is a risk of polluting the subsurface environment due to the combination of pressure increase and induced rock-CO₂-fluid reactions upon injection. As dissolution of CO₂ into fluids is required prior to injection, monitoring techniques different from conventional methods are needed. Hence, in order to facilitate efficient and stable underground storage of CO₂ in basalt, it is necessary to select a suitable storage formation, accumulate various database of the field, and conduct systematic research utilizing experiments/modeling/field studies to develop comprehensive understanding of the potential storage site.