• Journal of the Korean Vacuum Society
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• v.4 no.S1
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• pp.81-86
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• 1995

Aluminum has been deposited selectively on TiN surfaces in the presence of Si, SiO2 from Dimethyethylamine Alane(DMEAA). The film properties of the deopsited AI film were determined by various methods(SEM, Auger, UV-photospectrometer, Four point-probe, XRD). The effect of in-situ H2 plasma precleaning was studied. The effect of gap distance, pressure and temperature on the properties(crystallinity, resistance, grain size, morphology) of AI film and on the growth rates was investigated. It was found that the plasma precleaning promotes the growth rate and there exists optimum thmperature for maximum growth rate.

• KOREAN POULTRY JOURNAL
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• v.54 no.10
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• pp.140-145
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• 2022

본고는 최근 미국 캘리포니아주 식품 농업부에서 가금농가의 차단방역을 위해 위험도 평가가이드(Poultry Facility BioSecurity Risk Assessment Guide)를 작성, 발표한 내용 중 산란계 분야 및 공통부문을 발췌 번역한 것이다. 본 가이드는 김상호 케이애니웰 대표가 번역하였으며, 국내 상황과 공통된 부분이 많아 AI 등 양계질병 예방을 위해 항상 노력하고 있는 양계농가에서 자체진단용으로 활용하는데 도움이 될 수 있을 것으로 본다. 음영처리된 부분은 농장에서 필수(의무)적으로 지켜야 하는 사항을 표시한 것이다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.209-210
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• 2023

In this study, the accuracy of the assembly rate of fine aggregate and the cleavage rate of coarse aggregate was analyzed using the constructed learning data. As a result, it was possible to predict the distribution of assembly rate for fine aggregate through a simple sample collection image, showing an accuracy of 96%. The classification of the aggregates could be confirmed by analyzing the fracture shape of the gravel, showing an accuracy of 97%.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.53-68
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• 2024

Generative AI is receiving a lot of attention around the world, and ways to effectively utilize it in the business environment are being explored. In particular, since the public release of the ChatGPT service, which applies the GPT-3.5 model, a large language model developed by OpenAI, it has attracted more attention and has had a significant impact on the entire industry. This study focuses on the emergence of Generative AI, especially ChatGPT, which applies OpenAI's GPT-3.5 model, to investigate its impact on the startup industry and compare the changes that occurred before and after its emergence. This study aims to shed light on the actual application and impact of generative AI in the business environment by examining in detail how generative AI is being used in the startup industry and analyzing the impact of ChatGPT's emergence on the industry. To this end, we collected company information of generative AI-related startups that appeared before and after the ChatGPT announcement and analyzed changes in industry, business content, and investment information. Through keyword analysis, topic modeling, and network analysis, we identified trends in the startup industry and how the introduction of generative AI has revolutionized the startup industry. As a result of the study, we found that the number of startups related to Generative AI has increased since the emergence of ChatGPT, and in particular, the total and average amount of funding for Generative AI-related startups has increased significantly. We also found that various industries are attempting to apply Generative AI technology, and the development of services and products such as enterprise applications and SaaS using Generative AI has been actively promoted, influencing the emergence of new business models. The findings of this study confirm the impact of Generative AI on the startup industry and contribute to our understanding of how the emergence of this innovative new technology can change the business ecosystem.

• Journal of Embryo Transfer
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• v.31 no.3
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• pp.261-265
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• 2016

The aim of the present study was to evaluate and estimate timing of artificial insemination (AI) in Hanwoo heifer (Korean native cattle) that is the most popular breed of beef cattle in Korea. To determine changes in body weight of heifers around AI, body weight were measured at different stages either before or after AI. We found that daily body weight gain was higher in the pregnant cows after AI. We also investigate correlation between body mass measured by shoulder height and body length, and conception rates, used (body length+ height)2 instead of height2 for body mass index (BMI), and found that relatively more BMI heifers (>55) showed higher conception rates. Finally, we estimated body weight by measuring should height (SH), heart girth (HG), and body length (BL); $BW=3.93372^*HG-2.90985^*SH-0.021^*BL$. In addition, we observed that HG is most closely correlated with BW; $y(BW)=1.77355^*x(HG)$, $R^2=0.98881$. In summary, we can determine the best timing of AI using body measurement and its application including BMI.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.51-57
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• 2021

Quite a few elementary school teachers began to utilize AI technology in order to provide students with customized, intelligent information services in recent years. However, learning principles of AI may be as important as utilizing AI in everyday life because understanding principles of AI can empower them to buildup adaptability to changes in highly technological world. In the paper, 'Linear Regression Algorithm' is selected for teaching AI-based prediction system to solve real world problems suitable for elementary students. A simulation program written in Scratch was developed so that students can find a solution of linear regression model using the program. The paper shows that students have learned analyzing data as well as comparing the accuracy of the prediction model. Also, they have shown the ability to solve real world problems by finding suitable prediction models.

• Informatization Policy
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• v.30 no.3
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• pp.69-91
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• 2023

The impact of technological advancements on employment is a matter of ongoing debate, with discussions on the effects of AI technology development on employment being particularly scarce. This study employs the natural language processing technique (SBERT) and patents to calculate an occupation-based AI exposure score and to analyze employment trends by group. It proposes a method for calculating the AI exposure score based on the similarity between Korean patent information and US job descriptions and linking SOC(U.S.) and KSCO(Korea). The analysis of domestic AI patent applications and regional employment data in the KOSIS Database since 2013 reveals a K-shaped polarization pattern in Korean employment trends among groups with above and below average levels of AI exposure.

• Journal of the Korean Society of Radiology
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• v.18 no.3
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• pp.267-273
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• 2024

Using a cloud-based vertex AI platform that can develop an artificial intelligence learning model without coding, this study easily developed an artificial intelligence learning model by the non-professional general public and confirmed its clinical applicability. Nine dental diseases and 2,999 root disease X-ray images released on the Kaggle site were used for the learning data, and learning, verification, and test data images were randomly classified. Image classification and multi-label learning were performed through hyper-parameter tuning work using a learning pipeline in vertex AI's basic learning model workflow. As a result of performing AutoML(Automated Machine Learning), AUC(Area Under Curve) was found to be 0.967, precision was 95.6%, and reproduction rate was 95.2%. It was confirmed that the learned artificial intelligence model was sufficient for clinical diagnosis.

• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.466-471
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• 2024

Recently, the Machine Learning based Artificial Intelligence has introduced in aviation field. In most cases, safety assurance of aviation software is achieved by applying RTCA DO-178C or DO-278A or similar standards. These standards were developed for and are well-suited to software that has inherent deterministic properties and explainability. Considering the characteristics of AI software based on ML, it is not feasible to assure the integrity of those new aviation systems using traditional software assurance standards mentioned above. In this paper, we research the certification framework that is newly suggested by EASA to deal with the aviation system including ML AI functions, and discuss what should the Korean authority and related industries prepare to cope with this issue.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.911-919
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• 2022

In this paper, we analyzed to find out the effects of phonological awareness game using teacher assisted robot on 5-year-old children's reading ability and reading interest. A total of 30 5-year-old children were equally divided into two groups: the experimental group and the control group. The experimental group conducted a total of 16 game activities using an educational robot twice a week for three weeks, the control group conducted the same 16 game activities without the robot during the same period. The results are as follows. Firstly, the experimental group was better in reading ability than that of the control group, especially total scores, word meaning, omission, and replacement. Secondly, the experimental group showed more interest in reading than the control group. From these findings, it can be suggested that phonological awareness games using the educational robot lay foundation to developing and enhancing on 5-year-old children's reading abilities and interest in reading.