• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1010-1011
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• 2023

코로나19 팬데믹 이후 배달 앱 사용량이 증가에 따라 배달 오토바이 수가 급증하면서 이와 관련 사고 또한 급격히 증가하는 추세를 보이고 있다. 특히 청각 장애인들은 도로에서 이러한 종류의 사고 위험에 더욱 노출되어 있으며, 이 문제를 해결하기 위해 구글 앱 인벤터를 사용하여 도로에서 오토바이 소리를 인식하는 인공지능 학습 모델을 개발하였다. 개발된 어플리케이션은 도로에서 오토바이 소리를 감지하고 사용자에게 진동과 사진으로 알림을 보냄으로써 사고를 예방에 기여할 수 있다.

• Review of KIISC
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• v.34 no.4
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• pp.45-53
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• 2024

최근 생성형 인공지능, 메타버스 기반의 신규 ICT 서비스가 도입되면서 이러한 서비스에서 발생할 수 있는 프라이버시 위험의 적절한 관리는 매우 중요하게 부각되고 있다. 특히 챗GPT를 시작으로 한 생성형 인공지능의 급격한 발전과 활용은 데이터 수집, 처리, 분석 과정에서 개인정보보호에 대한 우려를 가중시킨다. 이와 관련하여 개인정보보호 국제표준은 국가나 조직의 관행과 기술을 글로벌 차원의 표준으로 개발하여 상호 연동이 가능한 서비스를 제공함으로써, 제품이나 서비스의 경쟁력을 강화 하는데 활용될 수 있다. 개인정보보호 국제 표준화를 주도적으로 추진하고 있는 대표적인 국제 표준화 그룹으로는 국제표준화위원회/전기위원회 합동위원회 1/서브위원회 27/작업그룹 5 (ISO/IEC JTC 1/SC 27/WG 5)가있으며, 독일 쾨테대학의 카이 라넨버그(Kai Rannenberg) 교수가 이 그룹의 의장을 맡고 있다. 본 고에서는 2024년4월 SC 27/WG 5 회의를 중심으로 개발 및 채택된 개인정보보호 국제표준과 동향을 살펴보고, 이와 관련된 주요 이슈와 표준화 대응 방안을 제시한다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.157-158
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• 2023

본 연구는 건설기계에 의한 협착 및 충돌재해의 예방을 위해 사용하고 있는 스마트 안전관리 시스템 중 건설기계 근접 방지시스템의 재해예방 효과를 분석하여 그 안전성을 실증하고자 하였다. 건설기계 중 재해다발 및 위험성이 높은 굴삭기를 대상으로 스마트 안전관리 시스템의 유무에 따라 근로자(1,000명 기준)의 행동 변화를 라이다 센스 장비를 활용하여 분석하였다. 근로자-건설기계와 최단 이격거리, 위험구역 내 근로자의 체류시간, 위험구역 주변 근로자의 이동 경로 및 체류시간에 따른 근로자의 분포도 등 근로자의 행동 패턴을 분석한 결과스마트 안전관리 시스템을 설치한 건설기계가 미설치한 건설기계보다 근로자와의 이격거리 확보와 위험구역내 체류시간을 단축한 결과를 도출하였다. 이는 스마트 안전관리 시스템이 건설기계와 관련한 협착 및 충돌 등에 의한 재해로부터 근로자의 안전성을 확보한 결과라 분석되었다.

• Journal of Korea Water Resources Association
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• v.38 no.7 s.156
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• pp.575-584
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• 2005

The judgement model to warn of possible pollution accident is constructed by multi-perceptron, multi layer neural network, neuro-fuzzy and it is trained stability, notice, and warming situation due to developed standard axis. The water quality forecasting model is linked to the runoff forecasting model, and joined with the judgement model to warn of possible pollution accident, which completes the artificial intelligence warning system. And GUI (Graphic User Interface) has been designed for that system. GUI screens, in order of process, are main page, data edit, discharge forecasting, water quality forecasting, warming system. The application capability of the system was estimated by the pollution accident scenario. Estimation results verify that the artificial intelligence warning system can be a reasonable judgement of the noized water pollution data.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.507-515
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• 2019

The positive effects of 'robot actor' born in the age of artificial intelligence on the characteristics of theater (comprehensive, liveness, duality, planning) is due to the collaboration with 'robot' engineers, which increases the comprehensive. It is possible to respond to it, so that various reaction are maintained in every performance, and enhanced illusion can be provided in 'robot' material works in which 'robot actor' plays the role of 'robot'. However, the power focused on the director can reduce the comprehensiceness, the synthesis is reduced, and the 'robot actor' cannot perform the sweat or breath of 'human actor'. In itself, duality is incomplete. In addition, there is a high risk that the improvisation within the scope of planning is likely to occur as a sudden reaction, which may limit the postponement of the 'human actor'. Based on these findings, 'philosophy', 'science' and 'art' can predict the development of artificial intelligence side by side. It is considered necessary to study to redefine the direction and identity of arts and theater that should be moved forward.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.16-24
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• 2021

This paper introduces a smart aging service that helps the elderly lead a happy old age by actively utilizing IoT and AI technologies for the elderly who are increasing rapidly as they enter the aging society. In particular, we propose a future-oriented, age-friendly well-being support system that breaks away from the existing welfare concept to solve the aging problem but leads to a paradigm shift toward building a vibrant aging society by protecting from emergency and satisfying emotions. By introducing IoT and AI, it judges the life situation and emotional state from the living information of the elderly can respond to emergencies and suggest meetings as a change of mood and give an emotional comfort. Since the proposed system uses artificial intelligence techniques to determine the degree of depression when inputting information such as pulse-rate, dangerous word usage, and external communication, I think it showed the feasibility of the new concept of wellbeing support system that is totally different from conventional wellbeing concept of health-care.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.720-725
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• 2004

Robot systems have applied to manufacturing or industrial field for reducing the need for human presence in dangerous and/or repetitive tasks. However, robot applications are transformed from industrial field to human life in recent tendency Nowadays, final goal of robot is to make a intelligent robot that can understand what human say and learn by itself and have internal emotion. For example Home service robots are able to provice functions such as security, housework, entertainment, education and secretary To provide various functions, home robots need to recognize human`s requirement and environment, and it is indispensable to use artificial intelligence technology for implementation of home robots. In this paper, implemented robot system takes data from several sensors and fuses the data to recognize environment information. Also, it can select a proper behavior for environment using soft computing method. Each behavior is composed with intuitive motion and sound in order to let human realize robot behavior well.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.167-168
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• 2023

가상현실 기술은 다양한 유형으로 발전하고 있다. 해양경찰은 함정 조함 교육을 위해 두 가지 가상현실 환경에서 실습이 진행 중이다. 이 연구는 두 가지 가상 현실 환경에서 조함 교육효과가 어떻게 나타나는지 알기 위해 항해 위험성을 평가하고 분석하였다. 실물형은 데스크톱형보다 최근접거리가 더 길고, 대각도 타 사용 시간과 비상인지 시간이 더 길게 나타났다. 향후 해양경찰 함정 교육을 위한 최적의 가상현실 환경을 구축하고 확장하는데 기초자료로 활용할 예정이다.

• Knowledge Management Research
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• v.21 no.3
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• pp.229-247
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• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.