• Title/Summary/Keyword: artificial intelligence

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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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    • v.15 no.5
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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.

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

  • Cho, Min-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.307-312
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    • 2021
  • Artificial Intelligence has a long history and is used in various fields including image recognition and automatic translation. Therefore, when we first encounter artificial intelligence, many terms, concepts and technologies often have difficulty in setting or implementing research direction. This study summarized important concepts related to artificial intelligence and summarized the progress of the past 60 years to help researcher suffering from these difficulties. Through this, it is possible to establish the basis for the use of vast artificial intelligence technologies and establish the right direction for research.

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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    • v.22 no.12
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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.

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

  • Oh, Gyeong-Su;Ju, Chan-Yang;Lee, Dong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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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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    • v.12 no.4
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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.

A Study on Practical Method to Enhancing the Creativity Effectiveness for Media Contents Education by Using Artificial Intelligence and Metaverse

  • Jong Bae, Ahn
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.253-260
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    • 2024
  • We studied to aim for exploring practical approaches to enhance the effectiveness of creativity education by using artificial intelligence and the metaverse in the field of media contents. Recognizing the need for educational innovation to adapt to the accelerating changes driven by the advancements in artificial intelligence and the metaverse, and considering the increasing importance of fostering creativity as a key competitive advantage for future talents, we focused on research implementing creativity education in the media contents domain. To achieve this, we conducted this study during a semester-long media contents course utilizing artificial intelligence and the metaverse in real classroom setting. We involved in this study collecting feedback and opinions from students to investigate and identify effective strategies for enhancing the impact of creativity education. As a result, we proposed the utility of media contents class using artificial intelligence and the metaverse in enhancing students' creativity. By elucidating which teaching methods are most effective, we contributed to derive beneficial outcomes for media contents creative education.

An analysis of determinants for artificial intelligence industry competitiveness (인공지능 산업의 국가 경쟁력 결정요인 분석)

  • Hong, Jae-Pyo;Kim, Eun-Jung;Park, Ho-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.4
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    • pp.663-671
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    • 2017
  • This study analyzed the determinants influencing competitiveness of artificial intelligence industry of Korea. Analysis showed that the factors having the greatest influence on the national competitiveness of the artificial intelligence industry were, in decreasing order of importance, R&D, capital, and ICT competitiveness. Given the capital-intensive characteristic of the artificial intelligence technology, it is important to enhance the national R&D capacity in artificial intelligence technology and ICT, and to make substantial investments in the establishment of related infrastructure. Considering that the development and utilization of ICT infrastructure serves as the basis for artificial intelligence technology, the high standards of Korean consumers are expected to have a positive catalytic effect on the acquisition of national competitiveness for the artificial intelligence industry. For companies to respond in a timely manner to the rapid dissemination and high impact of artificial intelligence technology, they must prepare for such advancements by improving their competencies.

An Artificial Intelligence Education Program Development and Application for Elementary Teachers (초등 교사들을 위한 인공지능 교육 프로그램 개발 및 적용)

  • Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.629-637
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    • 2019
  • Rapid changes in the knowledge and information society of the 21st century should be embraced and applied to teachers. Since artificial intelligence(AI) is an important axis of rapid change, artificial intelligence education should be started from elementary school. This change requires elementary school teachers to have basic skills for AI education. In this study, an AI education program for elementary school teachers is developed. This development consists of three stages, the first stage is the understanding of artificial intelligence, the second stage is the understanding and application of artificial intelligence tools, and the final stage is the creation and application of artificial intelligence programs. 15 elementary school teachers were tested. The result of this study will be a useful educational program for teachers in charge of AI education in elementary school students.

An Exploratory Study on Artificial Intelligence Quality, Preference and Continuous Usage Intention: A Case of Online Job Information Platform (인공지능이 적용된 온라인 구인정보 플랫폼의 품질 및 선호가 지속사용의도에 미치는 영향에 관한 탐색적 연구)

  • An, Kyung-Min;Lee, Young-Chan
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.73-87
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    • 2019
  • The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

Expectations and Anxieties Affecting Attitudes toward Artificial Intelligence Revolution (인공지능 혁신에 대한 기대와 불안 요인 및 영향 연구)

  • Rhee, Chang Seop;Rhee, Hyunjung
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.37-46
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    • 2019
  • Humans have anxieties as well as expectations for artificial intelligence. This study attempted to identify the expectation and anxiety factors affecting the attitude toward artificial intelligence innovation and to ascertain how much influence they have on current artificial intelligence innovation. This study considered that attitudes toward artificial intelligence may be different for each generation sharing a similar technology change culture. Therefore, the researchers limited the research subjects to I generation, which is the main users of artificial intelligence in the future. As a main result, the factors of expectiation of 'performance gain', 'positive social impact', and the factor of anxiety of 'threat to human-oriented social value' were drawn, and these factors influenced weak and strong artificial intelligence respectively. The results of this study suggests that artificial intelligence should develop into a pleasant relationship with humankind.