• Title, Summary, Keyword: Artificial Intelligence

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Standardization Trends on Artificial Intelligence in Medicine (의료 인공지능 표준화 동향)

  • Jeon, J.H.;Lee, K.C.
    • Electronics and Telecommunications Trends
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    • v.34 no.5
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    • pp.113-126
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    • 2019
  • Based on the accumulation of medical big data, advances in medical artificial intelligence technology facilitate the timely treatment of disease through the reading the medical images and the increase of prediction speed and accuracy of diagnoses. In addition, these advances are expected to spark significant innovations in reducing medical costs and improving care quality. There are already approximately 40 FDA approved products in the US, and more than 10 products with K-FDA approval in Korea. Medical applications and services based on artificial intelligence are expected to spread rapidly in the future. Furthermore, the evolution of medical artificial intelligence technology is expanding the boundaries or limits of various related issues such as reference standards and specifications, ethical and clinical validation issues, and the harmonization of international regulatory systems.

Online-Offline Connectivity and Artificial Intelligence : Car Navigation App (온라인-오프라인의 연결 그리고 인공지능 : 자동차 모바일 네비게이션 앱 활용 맥락)

  • Kim, Taekyung
    • Journal of Information Technology Services
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    • v.18 no.1
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    • pp.201-217
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    • 2019
  • Cars have become a necessity in modern life. It is widely used to transport people or products to a destination conveniently. However, the addition of a navigation service that provides route information and more makes driving more convenient and safer. Recent developments in the mobile app ecosystem encourages people to adopt not only an installation-type car navigation, but also a mobile app navigation, supporting connected car concepts. It should be noted that mobile apps with mobile Internet can be a significant linkage between information acquired online and offline business. This study demonstrates the impact of the app use experience for a driver in the context of applying artificial intelligence service. As a result, the introduction of artificial intelligence services has a statistically significant moderating effect on the use of mobile navigation apps. This seminal research is valuable as it evaluates the role of artificial intelligence applied to mobile navigation apps.

Cloud Computing Industry Trends for Artificial Intelligence (인공지능을 위한 클라우드 컴퓨팅 산업 동향)

  • Choi, J.R.;Song, Y.M.;Kim, C.H.;Kim, S.J.
    • Electronics and Telecommunications Trends
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    • v.32 no.5
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    • pp.107-116
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    • 2017
  • Artificial intelligence has recently been regarded as a key engine of future industry, and cloud computing and big data technologies have begun to receive significant attention. Major global vendors such as IBM, Microsoft, Google, and Amazon have been launching cloud-computing services for artificial intelligence. On the other hand, the situation domestically is now at an early stage. This report describes the industry trends both domestically and internationally regarding cloud computing for artificial intelligence. We also describe to significance of cloud computing ecosystem and data competitiveness for artificial intelligence.

A Study On Parameter Measurement for Artificial Intelligence Object Recognition (인공지능 객체인식에 관한 파라미터 측정 연구)

  • Choi, Byung Kwan
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.3
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    • pp.15-28
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    • 2019
  • Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

Systemic Analysis of Research Activities and Trends Related to Artificial Intelligence(A.I.) Technology Based on Latent Dirichlet Allocation (LDA) Model (Latent Dirichlet Allocation (LDA) 모델 기반의 인공지능(A.I.) 기술 관련 연구 활동 및 동향 분석)

  • Chung, Myoung Sug;Lee, Joo Yeoun
    • Journal of the Korea Industrial Information Systems Research
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    • v.23 no.3
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    • pp.87-95
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    • 2018
  • Recently, with the technological development of artificial intelligence, related market is expanding rapidly. In the artificial intelligence technology field, which is still in the early stage but still expanding, it is important to reduce uncertainty about research direction and investment field. Therefore, this study examined technology trends using text mining and topic modeling among big data analysis methods and suggested trends of core technology and future growth potential. We hope that the results of this study will provide researchers with an understanding of artificial intelligence technology trends and new implications for future research directions.

Artificial Intelligence Applications to Music Composition (인공지능 기반 작곡 프로그램 현황 및 제언)

  • Lee, Sunghoon
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.261-266
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    • 2018
  • This study aimed to provide an overview of artificial intelligence based music composition programs. The artificial intelligence-based composition program has shown remarkable growth as the development of deep neural network theory and the improvement of big data processing technology. Accordingly, artificial intelligence based composition programs for composing classical music and pop music have been proposed variously in academia and industry. But there are several limitations: devaluation in general populations, missing valuable materials, lack of relevant laws, technology-led industries exclusive to the arts, and so on. When effective measures are taken against these limitations, artificial intelligence based technology will play a significant role in fostering national competitiveness.

Image of Artificial Intelligence of Elementary Students by using Semantic Differential Scale (의미분별법을 이용한 초등학생의 인공지능에 대한 이미지)

  • Ryu, Miyoung;Han, Seonkwan
    • Journal of The Korean Association of Information Education
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    • v.21 no.5
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    • pp.527-535
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    • 2017
  • In this study, we analyzed the image of artificial intelligence recognized by elementary students using semantic differential scale. First, we extracted 23 pairs of image adjectives related to perception of artificial intelligence. Adjectives were classified into three types related to recognition, emotion and ability and 827 elementary students were examined. Image factors were classified into four factors: convenience, technological progress, human-friendliness, and concern. As a result, they showed a clear image that artificial intelligence is clever, new, and complex but exciting. In comparison with variables, female students, coding experience and older students thought that artificial intelligence was more human-friendly and technological progressive.

Measuring gameplay similarity between human and reinforcement learning artificial intelligence (사람과 강화학습 인공지능의 게임플레이 유사도 측정)

  • Heo, Min-Gu;Park, Chang-Hoon
    • Journal of Korea Game Society
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    • v.20 no.6
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    • pp.63-74
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    • 2020
  • Recently, research on automating game tests using artificial intelligence agents instead of humans is attracting attention. This paper aims to collect play data from human and artificial intelligence and analyze their similarity as a preliminary study for game balancing automation. At this time, constraints were added at the learning stage in order to create artificial intelligence that can play similar to humans. Play datas obtained 14 people and 60 artificial intelligence by playing Flippy bird games 10 times each. The collected datas compared and analyzed for movement trajectory, action position, and dead position using the cosine similarity method. As a result of the analysis, an artificial intelligence agent with a similarity of 0.9 or more with humans was found.

A Study on Performance Evaluation of Container-based Virtualization for Real-Time Data Analysis (실시간 데이터 분석을 위한 컨테이너 기반 가상화 성능에 관한 연구)

  • Choi, BoAh;Han, JaeDeok;Oh, DaSom;Park, HyunKook;Kim, HyeonA;Seo, MinKwan;Lee, JongHyuk
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.32-35
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    • 2020
  • 본 논문은 실시간 데이터 분석을 위한 컨테이너 가상화 기술 사용에 대한 효용성을 알아보기 위해 HDP 와 MapR 배포판에 포함된 Spark 를 도커라이징 전과 후 환경에 설치 후 HiBench 벤치마크 프로그램을 이용해 성능을 측정하였다. 그리고 성능 측정치에 대해 대응표본 t 검정을 이용하여 도커라이징 전과 후의 성능 차이가 있는지를 통계적으로 분석하였다. 분석 결과, HDP 는 도커라이징 전과 후에 대한 성능 차이가 있었지만 MapR 은 성능 차이가 없었다.

Development of Artificial Intelligence Processing Embedded System for Rescue Requester search (소방관의 요구조자 탐색을 위한 인공지능 처리 임베디드 시스템 개발)

  • La, Jong-Pil;Park, Hyun Ju
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1612-1617
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    • 2020
  • Recently, research to reduce the accident rate by actively adopting artificial intelligence technology in the field of disaster safety technology is spreading. In particular, it is important to quickly search the Rescue Requester in order to effectively perform rescue activities at the disaster site. However, it is difficult to search for Rescue Requester due to the nature of the disaster environment. In this paper, We intend to develop an artificial intelligence system that can be operated in a smart helmet for firefighters to search for a rescue requester. To this end, the optimal SoC was selected and developed as an embedded system, and by testing a general-purpose artificial intelligence S/W, the embedded system for future smart helmet research was verified to be suitable as an artificial intelligence S/W operating platform.