• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.13-26
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• 2023

Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

• 전자통신동향분석
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• 제35권3호
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• pp.1-8
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• 2020

Artificial-intelligence (AI) technology is used in a variety of fields, from robot cleaner motion control to call center counselors, AI speakers, and Mars exploration. Because the technology levels of all applications and services that utilize AI vary widely, it is not possible to view all applications using AI technology at the same level. Nevertheless, there have been no cases in which the level of AI technology was defined. Therefore, the Electronics and Telecommunications Research Institute (ETRI) Artificial Intelligence Research Laboratory has defined the levels of the main technical elements of AI from steps 1 to 6. In this report, the Artificial Intelligence Technology Level 1.0 (ATL 1.0) is presented. It was established by comprehensively referring to the AI technology prospects and technology roadmaps of major countries. It is hoped that it can be used as a measure for determining the levels of AI applications or services or as an indicator for establishing a technology roadmap.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1997년도 Proceedings International Workshop on New Video Media Technology
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• pp.89-94
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• 1997

In this paper, we present a VR-based interface method which provides users more natural, realistic, and interactive communication and collaboration tool. Since most services in the communication systems matches with the services in the real world, the best understanding would be achieved when the communication services are represented in accordance with the services in the real world. However, conventional text-based interface and 2D GUI cannot provide such reality to the users. In this paper, we discuss VR-based interface to overcome such difficulty and introduce one instance of communication system using the VR-based realistic, what we call Virtual Village, which we are currently developing. This application might be applied to education in virtual space, desktop conferencing system, and entertainment such as MUD or the games in the distributed environment, etc.

• Clinical Endoscopy
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• 제57권1호
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• pp.24-35
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• 2024

The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.

• 디지털융복합연구
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• 제17권7호
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• pp.73-87
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• 2019

본 연구는 최근 빠르게 확산되는 인공지능의 지속적인수용에 관하여 탐색하고자 온라인 구인정보 플랫폼에 적용된 인공지능의 품질을 정의하고 인공지능의 선호, 지속사용의도 간의 구조적인 관계를 규명하였다. 인공지능 사용자를 대상으로 설문조사를 시행하였고 184개를 회수하였다. 실증분석결과 인공지능의 품질과 선호가 만족에 긍정적인 영향을 미치며, 인공지능의 만족이 지속사용의도에 통계적으로 유의한 수준에서 긍정적인 영향을 미치는 것으로 나타났다. 그러나 예상과는 달리 인공지능의 품질은 지속사용의도에 유의한 영향을 미치지 않는 것으로 나타났다. 이와 같은 결과는 향후 인공지능 기술을 제품이나 서비스에 적용하는데 있어 이론적, 실무적인 차원의 유용한 가이드라인을 제시할 수 있을 것으로 기대한다.

• 한국IT서비스학회지
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• 제20권4호
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• pp.81-93
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• 2021

In the era of artificial intelligence, the use of 'artificial intelligence-based services' has been diversified by combining various smart devices, big data, and voice recognition technology with artificial intelligence. From the perspective of IT services, these services are important technology that cause a paradigm shift from display-centered to voice-centered, and from passive to active IT-based services. This study seeks to find a solution to the current situation where AI assistant service is still in its beginning stage, despite having been ten years since its release and having a growing number of consumer touch points. Accordingly, we categorized the functions of AI assistant services and identified the degree of importance and satisfaction of services recognized by actual users. In order to define the 'ideal' services of AI assistant, seven experts from AI assistant-related industry have participated in the interview. Based on this result, we investigated the importance and satisfaction of services perceived by actual users of AI assistant services. As a result of IPA (Importance Performance Analysis). we find out which services are potentially 'keep', 'concentrate', 'low priority', or 'overkill' and provide various implications from the findings.

• 품질경영학회지
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• 제46권3호
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• pp.677-694
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• 2018

Purpose: The purpose of this study is to investigate various prior studies on artificial intelligence and to examine the concept and characteristics of various prior studies of existing service quality. And this paper is to study the concept and characteristics of artificial intelligence services and propose suitable quality measurement items. Methods: The research method of this paper is to examine previous research related to existing artificial intelligence and to analyze characteristics related to service quality. Results: This paper examines the concept and characteristics of artificial intelligence service in a new era by examining previous studies related to artificial intelligence and derives quality measurement items. Conclusion: In the future, it is necessary to verify the validity of the quality measurement items of artificial intelligence service. Therefore, it is necessary to elicit and verify the main quality measurement items through the investigation of the expert group.

• 융합보안논문지
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• 제24권2호
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• pp.63-70
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• 2024

인공지능 기술의 발전으로 우리의 삶은 혁신적으로 변화하고 있지만, 동시에 윤리적 문제들도 새롭게 대두되고 있다. 특히 알고리즘 및 데이터 편향성에 의한 차별문제, 딥페이크 및 개인정보 유출 문제 등은 인공지능 서비스확대에 따라 사회적으로 해결해야 할 선결과제라 판단된다. 이를 위해 본 논문에서는 인공지능 윤리 측면에서 인공지능의 개념과 윤리적 이슈를 살펴보고 이를 예방하기 위한 각국의 윤리 가이드라인, 법률, 인공지능 영향평가제도, 인공지능 인증제도와 인공지능 알고리즘 투명성 관련 기술 현황 등을 살펴보고 인공지능 윤리 강화를 위한 제도적 개선방안을 제시하고자 한다.

• 한국인공지능학회지
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• 제10권2호
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• pp.13-18
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• 2022

The role of artificial medical intelligence through medical big data has been focused on data-based medical device business and medical service technology development in the field of diagnostic examination of the patient's current condition, clinical decision support, and patient monitoring and management. Recently, with the 4th Industrial Revolution, the medical field changed the medical treatment paradigm from the method of treatment based on the knowledge and experience of doctors in the past to the form of receiving the help of high-precision medical intelligence based on medical data. In addition, due to the spread of non-face-to-face treatment due to the COVID-19 pandemic, it is expected that the era of telemedicine, in which patients will be treated by doctors at home rather than hospitals, will soon come. It can be said that artificial medical intelligence plays a big role at the center of this paradigm shift in prevention-centered treatment rather than treatment. Based on big data, this paper analyzes the current status of artificial intelligence technology for chronic disease patients, market trends, and domestic and foreign company trends to predict the expected effect and future development direction of artificial intelligence technology for chronic disease patients. In addition, it is intended to present the necessity of developing digital therapeutics that can provide various medical services to chronically ill patients and serve as medical support to clinicians.

• 한국도서관정보학회지
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• 제52권1호
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• pp.155-178
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• 2021

4차산업혁명 시대에서 공공도서관은 인공지능과 같은 외부 환경 변화에 능동적으로 대응하기 위하여 도서관 지능형서비스 추진 전략이 필요하다. 따라서 본 연구에서는 인공지능의 개념과 국내외 인공지능 관련 동향 및 정책, 사례 등의 분석 내용을 기반으로 도서관에서의 향후 인공지능 서비스 도입 및 발전 방향성에 대해 제안하였다. 현재 도서관에서는 딥러닝, 자연어처리 등 인공지능 기술 도입을 통해 자동으로 답변을 제공하는 참고정보서비스를 운영하며, 빅데이터 기반 AI 도서 추천 및 자동 도서 점검 시스템을 개발하여 업무 활용도를 높이고, 이용자 맞춤형 서비스를 제공하고 있다. 기업 및 산업 분야에서는 국내외를 막론하고, 사용자 개인 맞춤형 등을 기반으로 한 기술을 개발하여 서비스하고 있으며, 딥러닝을 사용하여 정보를 스스로 학습하여 최적의 결과를 제공하는 식의 형태로 개발하고 있다. 이에 따라 향후 도서관에서 인공지능을 활용하여, 이용자의 이용 기록을 기반으로 한 개인 맞춤형 도서 추천, 독서·문화 프로그램 추천, 도서 택배 서비스 시 자율주행 드론·자동차 등 운송수단을 통한 실시간 배송 서비스 도입 등 다양한 서비스 개발을 도모해야 한다.