• 한국세라믹학회지
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• 제31권12호
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• pp.1475-1482
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• 1994

Compositionally triphasic boehmite-silica-zirconia composite gels were prepared by a multiphasic sol-gel route. Phase-formation characteristics and densification behavior of the gel compacts were examined with and without $\alpha$-Al2O3 seeding. In the unseeded triphasic gels, both $\alpha$-Al2O3 and mullite crystallize simultaneously at 130$0^{\circ}C$. On the other hand, the $\alpha$-Al2O3 seeding selectively induces the formation of corundum phase ($\alpha$-Al2O3) at a significantly lower temperature (~110$0^{\circ}C$) and facilitates an epitaxial growth of $\alpha$-Al2O3 between 1100~130$0^{\circ}C$. The densification of alumina-mullite-zirconia composite (derived from the triphasic gels) was also enhanced by the $\alpha$-Al2O3 seeding, and this was attributed to the delayed crystallization of mullite in the $\alpha$-Al2O3 seeded gel.

• E2M - 전기 전자와 첨단 소재
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• 제7권1호
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• pp.7-14
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• 1994

Structural and optical characteristics in $SnO_2$/a-Se/Al sample by aging variation and applying constant voltage had been investigated. a-Se was varied with monoclinic structure and its surface was greatly exchanged. Its capacitance was first decreased and then increased and its photo-current, photo-voltage and photo-capacitance were increased gradually with day and applying voltage. From the results, crystallization of a-Se and dopant trap level formation had been identified. Also, it was acknowledged $SnO_2$/a-Se/Al sample is useful in photovoltaic and solid thin film cell.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.228-239
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• 2022

Many countries around the world using ICT technologies have various technologies to keep pace with the 4th industrial revolution, and various algorithms and systems have been developed accordingly. Among them, many industries and researchers are investing in unmanned automation systems based on AI. At the time when new technology development and algorithms are developed, decision-making by big data analysis applied to AI systems must be equipped with more sophistication. We apply, Pearson's correlation analysis is applied to six independent variables to find out the job satisfaction that office workers feel according to their job characteristics. First, a correlation coefficient is obtained to find out the degree of correlation for each variable. Second, the presence or absence of correlation for each data is verified through hypothesis testing. Third, after visualization processing using the size of the correlation coefficient, the degree of correlation between data is investigated. Fourth, the degree of correlation between variables will be verified based on the correlation coefficient obtained through the experiment and the results of the hypothesis test

• 시스템엔지니어링학술지
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• 제19권2호
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• pp.145-156
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• 2023

Trajectory of ballistic missile is defined by inherent flight dynamics, which decided range and maneuvering characteristics. It is crucial to predict range and maneuvering characteristics of ballistic missile in KAMD (Korea Air and Missile Defense) to minimize damage due to ballistic missile attacks, Nowadays, needs for applying AI(Artificial Intelligence) technologies are increasing due to rapid developments of DNN(Deep Neural Networks) technologies. To apply these DNN technologies amount of data are required for superviesed learning, but trajectory data of ballistic missiles is limited because of security issues. Trajectory data could be considered as multivariate time series including many variables. And augmentation in time series data is a developing area of research. In this paper, we tried to augment trajectory data of ballistic missiles using recently developed methods. We used TimeVAE(Time Variational AutoEncoder) method and TimeGAN(Time Generative Adversarial Networks) to synthesize missile trajectory data. We also compare the results of two methods and analyse for future works.

• 농업과학연구
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• 제12권2호
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• pp.183-190
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• 1985

식물생장억제제(植物生長抑制劑)인 Paclobutrazol이 수도(水稻)의 도복(倒伏)에 미치는 제형질(諸形質)과 수량(收量)에 미치는 영향(影響)을 조사(調査)하고자 낙동벼와 섬진벼를 공시하여 질소(窒素) 12,20kg/10a을 이용(利用)한 조건(條件)에서 Paclobutrazol 12,18g ai/10a을 출수전(出穗前) 20,15,10 일에 토양처리(土壤處理)하였다. 1. Paclobutrazol 18g ai/10a을 출수전(出穗前) 20일과 15일에 처리(處理)하면 수도(水稻)의 간장(稈長)은 전반적(全般的)으로 짧아졌으며, 특히 제(第) 3 절간(節間)에서 그 경향(傾向)이 현저하였다. 간장(稈長)은 Paclobutrazol 12,18g ai/10a을 출수전(出穗前) 20, 15일에 처리(處理)할 때 낙동벼에서 다소 짧아진 경향(傾向)이었다. 2. Paclobutrezol 처리(處理)에 의하여 간단면적(稈斷面積), linear density 및 줄기의 휨 강도 (EI)는 증가(增加)되었고 줄기가 만곡(彎曲)되는 경향(傾向)은 적었다. 3. 휨강도와 간단면적(稈斷面積), 간단축직경(稈短軸直徑) 및 linear density는 정(正)의 상관(相關), 줄기의 만곡각도(彎曲角度)와 간단면적(稈斷面積) 및 간단축직경(稈短軸直徑)과는 부(負)의 상관관계(相關關係)가 있었다. 4. Paclobutrazol 12g ai/10a 을 출수전(出穗前) 10, 15일에 처리(處理)하면 수량(收量)은 감소(減少)되지 않았으나 Paclobutrazol 18g ai/10a을 출수전(出穗前) 20일에 처리(處理)하면 수량(收量)은 약간 감소(減少)되는 경향(傾向)이었다.

• 한국산업융합학회 논문집
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• 제24권6_2호
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• pp.729-735
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• 2021

Recently Artificial Intelligence(AI) has been developed and used in various fields. Especially AI recognition technology can perceive and distinguish images so it should plays a significant role in quality inspection process. For stability of autonomous driving technology, semiconductors inside automobiles must be protected from external electromagnetic wave(EM wave). As a shield film, a thin polymeric material with hole shaped micro-patterns created by a laser processing could be used for the protection. The shielding efficiency of the film can be increased by the hole structure with appropriate pitch and size. However, since the sensitivity of micro-machining for some parameters, the shape of every single hole can not be same, even it is possible to make defective patterns during process. And it is absolutely time consuming way to inspect all patterns by just using optical microscope. In this paper, we introduce a AI inspection system which is based on web site AI tool. And we evaluate the usefulness of AI model by calculate Area Under ROC curve(Receiver Operating Characteristics). The AI system can classify the micro-patterns into normal or abnormal ones displaying the text of the result on real-time images and save them as image files respectively. Furthermore, pressing the running button, the Hardware of robot arm with two Arduino motors move the film on the optical microscopy stage in order for raster scanning. So this AI system can inspect the entire micro-patterns of a film automatically. If our system could collect much more identified data, it is believed that this system should be a more precise and accurate process for the efficiency of the AI inspection. Also this one could be applied to image-based inspection process of other products.

• Korean Journal of Radiology
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• 제25권5호
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• pp.414-425
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• 2024

Objective: This study aims to explore the opinions on the insurance coverage of artificial intelligence (AI), as categorized based on the distinct value elements offered by AI, with a specific focus on patient-centered outcomes (PCOs). PCOs are distinguished from traditional clinical outcomes and focus on patient-reported experiences and values such as quality of life, functionality, well-being, physical or emotional status, and convenience. Materials and Methods: We classified the value elements provided by AI into four dimensions: clinical outcomes, economic aspects, organizational aspects, and non-clinical PCOs. The survey comprised three sections: 1) experiences with PCOs in evaluating AI, 2) opinions on the coverage of AI by the National Health Insurance of the Republic of Korea when AI demonstrated benefits across the four value elements, and 3) respondent characteristics. The opinions regarding AI insurance coverage were assessed dichotomously and semi-quantitatively: non-approval (0) vs. approval (on a 1-10 weight scale, with 10 indicating the strongest approval). The survey was conducted from July 4 to 26, 2023, using a web-based method. Responses to PCOs and other value elements were compared. Results: Among 200 respondents, 44 (22%) were patients/patient representatives, 64 (32%) were industry/developers, 60 (30%) were medical practitioners/doctors, and 32 (16%) were government health personnel. The level of experience with PCOs regarding AI was low, with only 7% (14/200) having direct experience and 10% (20/200) having any experience (either direct or indirect). The approval rate for insurance coverage for PCOs was 74% (148/200), significantly lower than the corresponding rates for other value elements (82.5%-93.5%; P ≤ 0.034). The approval strength was significantly lower for PCOs, with a mean weight ± standard deviation of 5.1 ± 3.5, compared to other value elements (P ≤ 0.036). Conclusion: There is currently limited demand for insurance coverage for AI that demonstrates benefits in terms of non-clinical PCOs.

• 한국해양환경ㆍ에너지학회지
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• 제14권2호
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• pp.138-145
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• 2011

이 논문에서는 Monte Carlo method를 이용하여 주어진 파랑스펙트럼에서 위상차를 임의의 수 (random number)를 발생시켜 파형의 시계열 자료를 시뮬레이션하여 freak wave의 발생 특성을 살펴보았다. 여러 가지 상태의 해상상태를 스펙트럼법에서 정의한 유의파고 $H_s$와 유의파첨도 $S_s$의 조합을 이용해서 표시하였다. 유의파첨도가 동일한 경우에는 $H_s$가 커질수록 freak wave 발생 확률이 낮아지며 $H_s$가 동일한 경우 유의파첨도가 커질수록 freak wave 발생확률이 높아진다. 주어진 해상상태에서 최대파고 $H_{max}$의 평균은 $S_s$의 값이 증가함에 따라 조금씩 증가한다. 그러나 freak wave의 평균파고는 $S_s$에 관계없이 일정한 값을 가지며 freak wave 파고의 평균은 $H_s$의 2배가 된다. $S_s$가 일정한 경우 $H_s$가 증가하면 파형의 평균 첨도(kurtosis)가 증가한다. 그러나 $H_s$가 일정한 경우 $S_s$가 증가하면 첨도의 평균은 감소한다. Freak wave 발생 기준인 이상지수(Abnormality index, AI)의 평균값은 $H_s$와 $S_s$에 관계없이 2.11 정도의 값을 가지며 AI의 최대값은 2.5-3.0 사이의 값을 가진다. 따라서 Linear focusing에 의해서 발생한 freak wave의 AI의 상한 값은 3.0 정도라고 추정할 수 있다.

• 한국지구과학회지
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• 제44권6호
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• pp.675-692
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• 2023

This study used a Chatbot, a generative artificial intelligence (AI), to analyze the interaction between the Chatbot and students when exploring critical minerals from an epistemological aspect. The results, issues to be kept in mind in the teaching and learning process using AI were discussed in terms of the role of the teacher, the goals of education, and the characteristics of knowledge. For this study, we conducted a three-session science education program using a Chatbot for 19 high school students and analyzed the reports written by the students. As a result, in terms of form, the students' questions included search-type questions and non-search-type questions, and in terms of content, in addition to various questions asking about the characteristics of the target, there were also questions requiring a judgment by combining various data. In general, students had a questioning strategy that distinguished what they should aim for and what they should avoid. The Chatbot's answer had a certain form and consisted of three parts: an introduction, a body, and a conclusion. In particular, the conclusion included commentary or opinions with opinions on the content, and in this, value judgments and the nature of science were revealed. The interaction between the Chatbot and the student was clearly evident in the process in which the student organized questions in response to the Chatbot's answers. Depending on whether they were based on the answer, independent or derived questions appeared, and depending on the direction of comprehensiveness and specificity, superordinate, subordinate, or parallel questions appeared. Students also responded to the chatbot's answers with questions that included critical thinking skills. Based on these results, we discovered that there are inherent limitations between Chatbots and students, unlike general classes where teachers and students interact. In other words, there is 'limited interaction' and the teacher's role to complement this was discussed, and the goals of learning using AI and the characteristics of the knowledge they provide were also discussed.

• 디지털융복합연구
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• 제19권6호
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• pp.299-308
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• 2021

본 연구는 경도 치매환자가 AI 음성 기술을 활용한 개인 맞춤화된 회상 치료 디지털 서비스를 이용할 때 나타나는 유의미한 효과와 실효성을 파악하는 데 연구 목적을 두었다. 이해관계자 인터뷰 결과를 해석하는 과정에서, 음성 AI 기술을 이용한 '개인 맞춤화'라는 디자인 아이디어를 도출했으며, 프로토타입을 만들어 1, 2차에 걸쳐 사용성 테스트를 했다. 주요 결과는 다음과 같다. 회상 치료 자체가 개인 경험에 영향을 많이 받으며, 맞춤화된 치료프로그램을 통해 치료 상태와 결과에 따른 맞춤 돌봄 가이드를 받을 수 있기 때문에, '개인 맞춤화'라는 컨셉이 기존 치료 방법보다 치료의 질을 높일 수 있음을 알 수 있었다. 그러나 경도 치매환자가 지닌 깜빡 잊는 인지적 특징으로 인해 발생할 수 있는 이슈들이 관찰되어, 오류를 예방하고 사용성을 높일 수 있는 마이크로인터랙션을 연구한다면 서비스의 사용성을 더욱 높일 것으로 기대한다.