• Title/Summary/Keyword: Artificial intelligence

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인공지능 미술작품과 매체 지각 (Artificial intelligence Artworks and Media Perception)

  • 허윤정
    • 디지털융복합연구
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    • 제20권5호
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    • pp.741-749
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    • 2022
  • 본 연구의 목적은 새로운 기술들이 속속 발명되는 오늘날 인공지능 기술이 예술과 만나 어떠한 매체 지각을 수용자로 경험케 하는지 알아보고자 하는 것이다. 인공지능 작품들 중 지각과 관련되여 부각되는 작품들을 위주로 하여 인공지능 기술이 예술과 만나 어떠한 매체 지각을 수용자로 경험케 하는지 알아보았다. 인공지능 미술의 매체 지각으로 기계 환각, 언캐니 그리고 인공 공감의 특성을 규명하면서 이러한 지각들이 결국은 가족유사성 안에서 아우라 지각임을 규명하였다. 앞으로 인공지능 기술은 더욱 발달하게 되고 예술가들은 그들의 실험을 멈추지 않을 것이다. 예술가들에 의해 생성된 작품들은 새로운 경험들을 관객에게 제공하면서 관객들의 지각 경험을 확장 해 가리라 기대해 본다.

인공지능 기반 흉부 후전방향 검사에서 자세 평가 방법에 관한 연구 (Study of Posture Evaluation Method in Chest PA Examination based on Artificial Intelligence)

  • 황호성;최용석;이대원;김동현;김호철
    • 대한의용생체공학회:의공학회지
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    • 제44권3호
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    • pp.167-175
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    • 2023
  • Chest PA is the basic examination of radiographic imaging. Moreover, Chest PA's demands are constantly increasing because of the Increase in respiratory diseases. However, it is not meeting the demand due to problems such as a shortage of radiological technologist, sexual shame caused by patient contact, and the spread of infectious diseases. There have been many cases of using artificial intelligence to solve this problem. Therefore, the purpose of this research is to build an artificial intelligence dataset of Chest PA and to find a posture evaluation method. To construct the posture dataset, the posture image is acquired during actual and simulated examination and classified correct and incorrect posture of the patient. And to evaluate the artificial intelligence posture method, a posture estimation algorithm is used to preprocess the dataset and an artificial intelligence classification algorithm is applied. As a result, Chest PA posture dataset is validated with in over 95% accuracy in all artificial intelligence classification and the accuracy is improved through the Top-Down posture estimation algorithm AlphaPose and the classification InceptionV3 algorithm. Based on this, it will be possible to build a non-face-to-face automatic Chest PA examination system using artificial intelligence.

구성적 인공지능 (Constructive Artificial Intelligence)

  • 박충식
    • 인지과학
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    • 제15권4호
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    • pp.61-66
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    • 2004
  • 서양철학의 근간을 이루는 데카르트의 이성주의적 인간이해의 반성으로부터 등장한 구성주의는 지능을 포함한 인간이해의 새로운 대안이 될 수 있을 것으로 생각한다. 구성주의는 진화생물학, 진화심리학, 뇌과학, 시스템이론, 복잡계 이론의 성과뿐만 아니라 나아가 인문사회학의 경향과도 설명을 공유할 수 있는 많은 부분이 있다. 또한 인공지능 분야에서도 구성주의적 방법이라고 할 수 있는 연구가 진행되고 있다. 이 글에서는 구성주의적 관점에서 인공지능에서 다루는 지능에 대한 이해의 지평을 넓히고 이를 기반으로 한 방법론에 대한 검토와 그러한 경향에 있는 일부 인공지능 기술을 살펴보고자 한다. 이러한 논의를 통하여 여러 가지 관점의 마음에 대한 이론과 기술을 상호보완적으로 이해하고 다소 등한히 되고 있는 인공지능의 보편지능(general intelligence)의 토대로 삼고자 한다.

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'Artificial Intelligence' Acceptability in Online Dispute Resolution: A Comparison Study of Korean Age Groups

  • Chung, Yongkyun
    • 한국중재학회지:중재연구
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    • 제30권3호
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    • pp.95-113
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    • 2020
  • The worldwide diffusion of COVID-19 contributes to electronic commerce all over the world. The proliferation of high volume and small value electronic commerce naturally has combined artificial intelligence with online dispute resolution (ODR). This paper investigates the age effect on Artificial Intelligence acceptability in online dispute resolution and its empirical findings are as follows. First, seven measures out of the nine employed in this case study shows a coherent dynamic pattern over the age spectrum. In other words, the total samples are a heterogenous group rather than a homogeneous one. Second, medium answer occupies a non-negligible portion across answers from nine research questions. It seems to indicate that a considerable portion of Korean respondents are hesitant to make a choice on artificial intelligence at this juncture. Third, all of the respondents agree that the introduction of AI to the dispute resolution could contribute to the hastening of the dispute resolution process. Fourth, most of the respondents agree that artificial intelligence might have the cognitive ability but not the sympathetic or affective ability to handle the electronic commerce disputes.

뇌과학과 인공지능 융합 미래 기술 발전 방향 예측 (Predicting Future Technology Development in the Fusional Aspect of Brain Science and Artificial Intelligence)

  • 윤장우;허재두
    • 전자통신동향분석
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    • 제33권1호
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    • pp.1-10
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    • 2018
  • Artificial intelligence, which is based on deep learning, is emerging as a fundamental technology that will bring about future social changes. Artificial intelligence technology in IT is an essential intelligent system, and will overcome the performance limit of computing systems, and is expected to be the foundation for the development of computing environment destructively. The development of artificial intelligence technology in developed countries is a direction toward convergence with brain science. In this article, we will look at the prospect of artificial intelligence as the manifestation of imagination, as well as the technology and policy trends of artificial intelligence both at home and abroad, and discuss the direction of future technology development in terms of fusion with brain science.

Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence

  • Lim, JongBeom;Lee, DaeWon;Chung, Kwang-Sik;Yu, HeonChang
    • Journal of Information Processing Systems
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    • 제15권5호
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    • pp.1192-1200
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    • 2019
  • Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

인공지능의 역사, 분류 그리고 발전 방향에 관한 연구 (A Study on the History, Classification and Development Direction of Artificial Intelligence)

  • 조민호
    • 한국전자통신학회논문지
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    • 제16권2호
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    • pp.307-312
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    • 2021
  • 인공지능은 오랜 역사가 있으며, 이미지 인식이나 자동번역 분야를 포함한 여러 분야에서 활용되고 있다. 그래서 처음 인공지능을 접하는 경우에 많은 용어와 개념, 기술 때문에 연구의 방향 설정이나 수행에 어려움을 겪는 경우가 많다. 이번 연구는 이러한 어려움을 겪는 연구자들에게 도움이 될 수 있도록 인공지능에 관련된 중요 개념을 정리하고, 지난 60년의 발전 과정을 요약한다. 이를 통하여 방대한 인공지능 기술 활용의 기초를 확립하고 올바른 연구의 방향성을 수립할 수 있다.

The Effectiveness of a Program in Activities for Early Students to Develop Some of the Basic Skills Needed for the Age of Artificial Intelligence

  • Adelah Abdulhamid Abdulwahab, Rajab
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.239-244
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    • 2022
  • The study aimed to build a program in activities for early childhood students to develop some of the basic skills necessary for the age of artificial intelligence, to achieve the objectives of the study , the researcher used the experimental design, and the research sample consisted of 37 early childhood students. The study used the following tools: Experimental treatment subject: the proposed program in the activities, Measurement and evaluation tool: testing the basic skills needed for the age of artificial intelligence. The study concluded several results: There is a statistically significant difference (α≤0.05) between the average grades of the early childhood students in the research group in the tribal and remote measurements to test the basic skills necessary for the age of artificial intelligence in favor of the students grades in the dimensional measurements. Practical application of the study through benefiting from the proposed program of activities prepared in the current study in planning and implementing activities to develop the basic skills necessary for the age of artificial intelligence among early childhood students.

다중 의도 탐지를 통한 공통 대화 주제 식별 시스템 (Common Conversation Topic Identification System through Multi-intent Detection)

  • 오경수;주찬양;이동호
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 춘계학술발표대회
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    • pp.590-593
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    • 2022
  • 최근 코로나바이러스감염증-19(COVID-19)로 인해서 다양한 비대면 서비스가 증가하고 있는데 그 중에서 사람과 인공지능 간 의사소통하여 정보를 얻는 대화 시스템이 대표적인 서비스이다. 대화 시스템은 입력되는 단일 문장에 대한 정보만을 응답하기 때문에 이전 대화의 정보를 알기 위해서는 질문했던 내용을 다시 입력해야 하는 문제점이 있다. 이런 문제를 해결하고 대화 진행에 도움을 주기 위해서 본 논문에서는 대화 내 문장들의 다중 의도 탐지를 통한 공통 대화 주제 식별 시스템을 제안한다.

Application Analysis of Artificial Intelligence Technology in Museum Concept Design

  • Chen Xi;Jeanhun Chung
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.321-327
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    • 2023
  • The current rapid development of artificial intelligence technology has involved all aspects of the production field. The development of various algorithms and programs has pushed artificial intelligence to a new peak. Due to its complexity and diversity in the field of architectural design, the positive impact of artificial intelligence technology on architectural design is discussed from the perspective of conceptual design. For museums, which are one of the increasingly popular public facilities, the introduction of artificial intelligence technology has provided certain help in assisting the conceptual design of the museum. This article analyzes the theoretical and practical support of artificial intelligence technology in improving conceptual design, analyzing the architectural appearance, structural layout, materials, etc., to increase the feasibility and practicality of assisting conceptual design. It has certain reference significance for building a modern, advanced, international and interactive modern museum.