• Title/Summary/Keyword: Specialized AI

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Evaluating ChatGPT's Competency in BIM Related Knowledge via the Korean BIM Expertise Exam (BIM 운용 전문가 시험을 통한 ChatGPT의 BIM 분야 전문 지식 수준 평가)

  • Choi, Jiwon;Koo, Bonsang;Yu, Youngsu;Jeong, Yujeong;Ham, Namhyuk
    • Journal of KIBIM
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    • v.13 no.3
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    • pp.21-29
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    • 2023
  • ChatGPT, a chatbot based on GPT large language models, has gained immense popularity among the general public as well as domain professionals. To assess its proficiency in specialized fields, ChatGPT was tested on mainstream exams like the bar exam and medical licensing tests. This study evaluated ChatGPT's ability to answer questions related to Building Information Modeling (BIM) by testing it on Korea's BIM expertise exam, focusing primarily on multiple-choice problems. Both GPT-3.5 and GPT-4 were tested by prompting them to provide the correct answers to three years' worth of exams, totaling 150 questions. The results showed that both versions passed the test with average scores of 68 and 85, respectively. GPT-4 performed particularly well in categories related to 'BIM software' and 'Smart Construction technology'. However, it did not fare well in 'BIM applications'. Both versions were more proficient with short-answer choices than with sentence-length answers. Additionally, GPT-4 struggled with questions related to BIM policies and regulations specific to the Korean industry. Such limitations might be addressed by using tools like LangChain, which allow for feeding domain-specific documents to customize ChatGPT's responses. These advancements are anticipated to enhance ChatGPT's utility as a virtual assistant for BIM education and modeling automation.

Designing Dataset for Artificial Intelligence Learning for Cold Sea Fish Farming

  • Sung-Hyun KIM;Seongtak OH;Sangwon LEE
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.208-216
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    • 2023
  • The purpose of our study is to design datasets for Artificial Intelligence learning for cold sea fish farming. Salmon is considered one of the most popular fish species among men and women of all ages, but most supplies depend on imports. Recently, salmon farming, which is rapidly emerging as a specialized industry in Gangwon-do, has attracted attention. Therefore, in order to successfully develop salmon farming, the need to systematically build data related to salmon and salmon farming and use it to develop aquaculture techniques is raised. Meanwhile, the catch of pollack continues to decrease. Efforts should be made to improve the major factors affecting pollack survival based on data, as well as increasing the discharge volume for resource recovery. To this end, it is necessary to systematically collect and analyze data related to pollack catch and ecology to prepare a sustainable resource management strategy. Image data was obtained using CCTV and underwater cameras to establish an intelligent aquaculture strategy for salmon and pollock, which are considered representative fish species in Gangwon-do. Using these data, we built learning data suitable for AI analysis and prediction. Such data construction can be used to develop models for predicting the growth of salmon and pollack, and to develop algorithms for AI services that can predict water temperature, one of the key variables that determine the survival rate of pollack. This in turn will enable intelligent aquaculture and resource management taking into account the ecological characteristics of fish species. These studies look forward to achievements on an important level for sustainable fisheries and fisheries resource management.

Photo-realistic Face Image Generation by DCGAN with error relearning (심층 적대적 생성 신경망의 오류 재학습을 이용한 얼굴 영상 생성 모델)

  • Ha, Yong-Wook;Hong, Dong-jin;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.617-619
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    • 2018
  • In this paper, We suggest a face image generating GAN model which is improved by an additive discriminator. This discriminator is trained to be specialized in preventing frequent mistake of generator. To verify the model suggested, we used $^*Inception$ score. We used 155,680 images of $^*celebA$ which is frontal face. We earned average 1.742p at Inception score and it is much better score compare to previous model.

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The Prospects of Library Education in Korea (한국 도서관학 교육의 전망)

  • Um Young Ai
    • Journal of the Korean Society for Library and Information Science
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    • v.16
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    • pp.33-53
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    • 1989
  • The purpose of this paper is to forecast the future of library education in Korea. Toward this purpose, first, the historical events of library education in the United States of America and in the United Kingdom are introduced along with the IFLA Standards for Library Schools and the Unesco's General Information Programme. Secondly, the theoretical foundations of library education are extracted from the events. Thirdly, the factors influencing library education as well as library developments are identified, and, finally, the prospects of library education are forecasted in the light of the various factors in the Korean society and the theoretical foundations. The prospects are forecasted as follows: 1. The education for information science will be incorporated in library education. 2. The number of courses related to library services and uses will be increased. 3. The students should be provided with enough hands-on experiences to be familiar with new information technology. 4. The cooperation between library schools and libraries will be reinforced. 5. The departments of library science will cooperate with other departments in the universities in order to utilize the expertise and facilities. 6. The education of graduate schools will be specialized to produce subject specialist librarians and the undergraduate education will produce public and school librarians. 7. Opportunities for continuing education will be provided more and librarians encouraged to participate in those activities. 8. Library association should actively be involved in library education as a provider of continuing education or as a liaison between library schools and libraries. 9. The courses of foundations including library history, library research and preservation of culture will never be neglected.

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Factors Affecting Accounting Policy Choice: Evidence from Small and Medium Enterprises in Vietnam

  • DOAN, Anh Thi Thuy;LE, Binh Thi Hai;LE, Nguyet Thi My;DANG, Ly Ai
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.327-337
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    • 2022
  • The purpose of this study is to determine the direction and significance of variables influencing small and medium enterprises (SMEs) decisions regarding accounting policy in Vietnam. Research data was collected through a survey of 296 subjects, including chief accountants, accountants, managers, and lecturers with practical experience in accounting work at enterprises. With the help of specialized software SPSS, determining the impact of factors on the choice of accounting policy of enterprises is done through a multivariate regression model with control tools Cronbach's alpha determination, EFA factor analysis, and Pearson correlation analysis. Research results show that there are seven factors affecting the choice of accounting policy in Vietnamese SMEs; in which, the factors information technology, legal environment, information demand, manager's awareness, and accounting qualification have a positive impact; and two factors are tax pressure, and financial leverage have a negative impact on accounting policy choice. These results are consistent with most of the previously published studies. However, in contrast to many previous studies, our research shows that accounting's psychological factor does not affect the accounting policy choice. This is consistent with the characteristics of SMEs in Vietnam because the role of accountants is not appreciated in the business.

A Study on Take-off and Landing Experimental System for Development of Power Platforms for Electric Vertical Take-Off and Landing Air Mobility (전기 수직이착륙 항공모빌리티용 동력플랫폼 개발을 위한 이착륙 실험시스템 연구)

  • Jun-Seong, Weon;Kwang-Hyun Ro
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.639-648
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    • 2023
  • In modern society, UAM (Urban Air Mobility) transportation system is being developed as an alternative to urban traffic congestion and environmental problems, and electric vertical take-off and landing (eVTOL) is a combination of vertical take-off and landing function and electric power. It is attracting attention as an innovative next-generation transportation method as an eco-friendly alternative that reduces noise and air pollution by providing efficient mobility within the city. Since eVTOL development requires designing and implementing airframes suitable for various mission purposes, the power system needs to be developed as a platform concept before airframe development. In this study, we empirically proposed a test bench concept equipped with a stable power supply and an efficient control system, essential in developing a power platform with a combined function in the form of a fuselage and module type specialized for various mission purposes. The proposed drivetrain platform test bench consists of a system verifying the stable take-off and landing software and a power platform adjusting the motor's thrust. It will serve as a verification system that can be developed.

Data Modeling for Cyber Security of IoT in Artificial Intelligence Technology (인공지능기술의 IoT 통합보안관제를 위한 데이터모델링)

  • Oh, Young-Taek;Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.57-65
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    • 2021
  • A hyper-connected intelligence information society is emerging that creates new value by converging IoT, AI, and Bigdata, which are new technologies of the fourth industrial revolution, in all industrial fields. Everything is connected to the network and data is exploding, and artificial intelligence can learn on its own and even intellectual judgment functions are possible. In particular, the Internet of Things provides a new communication environment that can be connected to anything, anytime, anywhere, enabling super-connections where everything is connected. Artificial intelligence technology is implemented so that computers can execute human perceptions, learning, reasoning, and natural language processing. Artificial intelligence is developing advanced technologies such as machine learning, deep learning, natural language processing, voice recognition, and visual recognition, and includes software, machine learning, and cloud technologies specialized in various applications such as safety, medical, defense, finance, and welfare. Through this, it is utilized in various fields throughout the industry to provide human convenience and new values. However, on the contrary, it is time to respond as intelligent and sophisticated cyber threats are increasing and accompanied by potential adverse functions such as securing the technical safety of new technologies. In this paper, we propose a new data modeling method to enable IoT integrated security control by utilizing artificial intelligence technology as a way to solve these adverse functions.

Mid to Long Term R&D Direction of UAV for Disaster & Public Safety (재난치안용 무인기 중장기 연구개발 방향)

  • Kim, Joune Ho
    • Journal of Aerospace System Engineering
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    • v.14 no.5
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    • pp.83-90
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    • 2020
  • Disasters are causing significant damage to the lives and property of our society and are recognized as social problems that need to be solved nationally and globally. The 4th industrial revolution technologies affecting society as a whole such as the Internet of Things(IoT), Artificial Intelligence(AI), Drones(Unmanned Aerial Vehicles), and Big Data are continuously absorbed into the disaster and safety industries as scientific and technological tools for solving social problems. Very soon, twenty-nine domestic UAV-related organizations/companies will complete the construction of a multicopter type small UAV integrated system ('17~'20) that can be operated at disaster and security sites. The current work considers and proposes the mid-to-long term R&D direction of disaster UAV as a strategic asset of the national disaster response system. First, the trends of disaster and safety industry and policy are analyzed. Subsequently, the development status and future plans of small UAV, securing shortage technology, and strengthening competitiveness are analyzed. Finally, step-by-step R&D direction of disaster UAV in terms of development strategy, specialized mission, platform, communication, and control and operation is proposed.

A Study of the Characteristics of Lee Kyo-Won's Landscape Design (이교원 조경의 특성에 관한 연구)

  • Seo, Young-Ai;Choi, Jung-Min;Zoh, Kyung-Jin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.35 no.2 s.121
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    • pp.13-24
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    • 2007
  • This study aims to investigate the characteristics of Lee Kyo-Won's landscape architecture and add to the literature in this field. Also, the current status of and issues in landscape design will be dealt with through the lens of the individual landscape architect's worts. By adopting a critical analysis, this study will look closely into the background of his career and ideas regarding landscape design. The inherent nature of his coherent style in landscape design will be listed as follows: total design, design-build systems, experimentation with new kinds of plants and materials, and the pursuit of minimalism. His design domain covers various elements such as paving, street lamps, and clock towers, among others. He was often involved in managing outdoor sculpture and he also provided the total packaging of the design-build systems for most of his landscape projects. These are the main reasons why his landscape works can maintain their high end quality; through his craftsmanship, a fine quality of detail was achieved in his landscape design. This tell us the possible options that can be adopted such as landscape architectural design management or landscape architectural turn-key systems, which differ from the prevailing dual system between design and construction. However, his own particular system can not be replicated in ordinary situations because contemporary practices require us to coordinate the various stakeholders concerned in the decision-making process of the design. In general, it is fair to say that we can give him the credit for enhancing the status of landscape design as an independent, specialized field.

A study for innovation of Adult nursing assessment tool (간호정보조사지 개선을 위한 연구)

  • Park, Kyung Sook;Chi, Sung Ai;Chung, Hae Kyung
    • Korean Journal of Adult Nursing
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    • v.12 no.1
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    • pp.77-87
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    • 2000
  • This study tried to suggest the basic materials that can be efficiently applied in clinical cases by understanding problems through a content analysis of an adult nursing assessment tool and opinion agreement about nurse's practical usage presently used in the hospital. The study was carried out in 36 attached hospitals in nationwide universities from May to December, 1999, the two hundred and twenty five reports were for analysis. The contents of the collected nursing assessment tool were analyzed. It was found that the tool had been used with various names and content and there were instances of partial omission of a number of items, such as documentation and time records. Other results revealed that they mostly had a systematic classification of items, formation of details a form of a check list, and the effect of saving time. In spite of the adult nursing assessment tool, it was suggested that its style be subdivided according to the specialized of a department and that standardized style be amended and supplemented. The respondents also answered that there had to be education about continuous and sufficient health assessment skills on the physical examination record. The most frequently suggested items to be added were: past history, marital status, patient and caregiver's address and telephone number. It was found that a patient's education career, economic status, religion, hygienic practice, sexual life and hobby were the most frequently omitted items on record. The reason given wes because the items were associated with his/her privacy. These results highlight the importance of analyzing the content with an complete data collection, supplying basic content for a more accurate nursing record, computerization, sharing information and standardization of the form.

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