• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2022.10a
• /
• pp.337-338
• /
• 2022

시퀀스제어는 제조, 유통, 건설, 의료 산업분야의 기계, 전기, 전자, 자동화 등에 응용되어 널리 사용하고 있다. 4차산업의 발전으로 제어분야에 인공지능 융합 기술이 산업에 중요한 요소가 되어가고 있다. 특히 기존 시스템에 마이크로프로세서와 인공지능이 융합된 설비의 안전성과 혁신성을 평가하고 신뢰성 높은 장비개발이 요구되고 있어 교육목적의 장비를 개발하여 해당분야의 발전을 견인하고자 한다. 자체 개발한 일체형 인공지능 컨트롤러 모듈은 기존의 시퀀스 및 PLC제어 회로에 인공지능 능력을 융합한 장비이다. 본 장비의 성능평가항목으로 동작, 음성, 문자, 색상 등의 인식 능력과 회로의 안정성, 신뢰성을 평가하였다. 시퀀스 및 PLC 회로를 설계 후 융합된 일체형 인공지능 컨트롤러 모듈의 성능평가항목이 모두 만족하였고 회로의 안전성과 신뢰성에 문제가 없는 것으로 나타났다.

• Korean Journal of Cognitive Science
• /
• v.33 no.4
• /
• pp.169-203
• /
• 2022

As artificial intelligence (AI) technology advances, the number of cases in which AI becomes an object or subject of moral judgment is increasing, and this trend is expected to accelerate. Although the area of AI in human society expands, relatively few studies have been conducted on how people perceive and respond to AI. Three studies examined the effect of the anthropomorphism of AI on its responsibility. We predicted that anthropomorphism would increase the responsibility perception, and perceived agency and perceived patiency for AI would mediate this effect. Although the manipulation was not effective, multiple analyses confirmed the indirect effect of perceived patiency. In contrast, the effect of perceived agency of AI was somewhat mixed, which makes the hypothesis partially supported by the overall result. This result shows that for the moral status of artificial agents, perceived patiency is relatively more critical than perceived agency. These results support the organic perspective on the moral status that argues the importance of patiency, and show that patiency is more important than agency in the anthropomorphism related study of AI and robots.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.10a
• /
• pp.99-107
• /
• 1999

인공지능(Artificial Intelligence : AI)이란 인간이 가지고 있는 지각, 인식, 이해, 기억, 판단, 학습, 사고, 발견, 창조 등과 같은 지적인 능력을 기계에 실현하고자 하는 분야이다. 즉 기계에 인간이 가진 지능을 복제하여 우리 인간이 소유하고 있는 추론과 학습 메커니즘 등을 이용하여 신속한 계산을 수행할 수 있도록 컴퓨터의 실제 능력을 향상시키는 것이다. 인공지능 분야는 다양한 분야에 응용되어 왔으며 수많은 기술들이 개발되었다. 석유 분야도 예외는 아니며 석유 지질, 탐사, 매장량 평가, 시추, 생산, 수송, 정제 등 다양한 분야에 걸쳐서 인공지능 분야가 활용되어 많은 문제 해결에 적용되고 있다. 이와 같은 취지에서 본 논문에서는 우선 석유 분야별로 활용되고 있는 인공 지능 분야들을 정리하고 그 후 인공지능 분야별로 실제 해결하고 있는 석유 분야의 문제들을 다시 한번 정리하였다. 그 후 특히 석유 분야가 있어서 실제 개발되어 사용중인 전문가 시스템들을 정리하였다. 마지막으로 향후 석유 분야의 전문가 시스템 발전 방향을 간략히 분석하였다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.1
• /
• pp.49-57
• /
• 2022

Recently, various uses of artificial intelligence have been made possible through the deep artificial neural network structure of machine learning, demonstrating human-like capabilities. Unfortunately, the deep structure of the artificial neural network has not yet been accurately interpreted. This part is acting as anxiety and rejection of artificial intelligence. Among these problems, we solve the capability part of artificial neural networks. Calculate the size of the artificial neural network structure and calculate the size of data that the artificial neural network can process. The calculation method uses the group method used in mathematics to calculate the size of data and artificial neural networks using an order that can know the structure and size of the group. Through this, it is possible to know the capabilities of artificial neural networks, and to relieve anxiety about artificial intelligence. The size of the data and the deep artificial neural network are calculated and verified through numerical experiments.

• Journal of Digital Convergence
• /
• v.16 no.8
• /
• pp.279-285
• /
• 2018

The purpose of this study is to propose the role of future designers and capabilities to be developed in the age of A.I. Active and preliminary designers should prepare themselves to develop necessary capabilities. As a method of study, we investigated the meaning of design and the changing role of designers from the past to present. Additional research was conducted on generative design, design processes, and A.I based design software. Finally, based on the analysis, we proposed the role of future designers and their capabilities in the age of A.I. In conclusion, the role of future designer should lead social innovation through creativity by coworking with artificial intelligence based on understanding and empathy for users. Based on this research, designers are expected to develop unique humanities skills such as empathy and creativity and work with AI in response to $4^{th}$ industrial revolution.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.12
• /
• pp.93-100
• /
• 2020

This study aims to design and develop effective digital contents to improve the ability for artificial intelligence literacy. First, we defined AI literacy and analyzed the competencies required for artificial intelligence literacy. After selecting the educational elements for AI ability, we composed 10 educational programs. To confirm the appropriateness of designed contents, we verified through content validity test by 10 experts. The CVI value was over 0.75, which was highly valid. The developed content was installed on the online system and applied to 55 AI beginners for 4 weeks. The learners showed a positive result of at least 3.85 in the items of content difficulty, understanding, effectiveness, and learning challenge. As a result of this analysis, we can see that the developed content is positive for helping many people understand AI and improving AI literacy.

• Journal of Practical Engineering Education
• /
• v.15 no.1
• /
• pp.23-29
• /
• 2023

For given the importance of elementary school students developing the ability to solve problems using artificial intelligence (AI), problem-solving abilities should be developed using AI along with education to develop problem-solving abilities. Such students need a form that allows them to understand the concepts and principles of AI and to be easily educated in a fun way to understand basic understanding of how AI works. To this end, this study planned an 8-hour AI convergence program and operated based on self-driving cars, demonstrating that it was effective in improving elementary school students' problem-solving abilities, creativity, and AI understanding. As a result of operating the camp, students' understanding of AI was 3.56 (standard deviation 0.85), 4.00 (standard deviation 0.71), and t-value was -5.412 (p<0.001), indicating statistically improved understanding of AI, and high satisfaction and interest of students. In the future, it will be necessary to develop an educational program that allows elementary school students to devise their own ideas and create products to which AI models can be applied.

• Korean Journal of Cognitive Science
• /
• v.8 no.1
• /
• pp.37-56
• /
• 1997

Can the appropriately programmed computer think?I analyse,in this paper, argugments for and against strong AI-thesis,basically Turing's argument and Searle's chinese room argument.Through a cirtical review of these arguments, I try to show that the supportes of Al-thesis like Turing fail to explain the subjective nature of human consciousness.However,I do not think that subjective consciousness is a necessary condition for the ability to understand language.(In this respect my views are different from Searle's). But when we consider the conditions of humans as language users,we should presuppose that a human being is the unity of body and mind (or consciousness). Therefore, our subjective consciousness,together with human body(thus,way of our behavior and life). serve as a mark of person.

• 발명특허
• /
• v.16 no.10 s.188
• /
• pp.52-57
• /
• 1991

인간이 지닌 지적인 능력을 규명하여 컴퓨터로 하여금 지능이 필요로 하는 일을 수행할 수 있도록 하는 인공지능(Artificial Intelligence, 이하 AI)기술에 관한 관심이 높아지고 있는 가운데 선진각국에서는 철강, 자동차, 산업기계 등 다양한 분야에서 제품의 라이프 사이클 단축, 다품종 소량 생산, 효율적인 조업, 고도의 품질제어 요구에 유연하게 대처하기 위하여 인공지능 개발 프로젝트를 활발히 진행중이다. 본고에서는 산업기계분야에서 인공지능 개발에 필요한 기반환경에 대하여 살펴보고 선진국의 주요 개발동향 및 우리나라의 개발실태를 살표보고자 한다.

• 발명특허
• /
• v.16 no.11 s.189
• /
• pp.50-53
• /
• 1991

인간이 지닌 지적인 능력을 규명하여 컴퓨터로 하여금 지능이 필요로 하는 일을 수행할 수 있도록 하는 인공지능(Artificial Intelligence, 이하 AI)기술에 관한 관심이 높아지고 있는 가운데 선진각국에서는 철강, 자동차, 산업기계 등 다양한 분야에서 제품의 라이프 사이클 단축, 다품종 소량 생산, 효율적인 조업, 고도의 품질제어 요구에 유연하게 대처하기 위하여 인공지능 개발 프로젝트를 활발히 진행중이다. 본고에서는 산업기계분야에서 인공지능 개발에 필요한 기반환경에 대하여 살펴보고 선진국의 주요 개발동향 및 우리나라의 개발실태를 살펴보고자 한다.