• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.657-659
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• 2023

최근 스마트폰과 같은 디지털 기기의 보급과 함께 개인화, 맞춤형 서비스의 수요가 늘어나면서 추천 서비스가 주목을 받고 있다. 세션 기반(Session based) 추천 시스템은 사용자의 아이템 선호에 따른 순서 정보를 고려한 학습 추천 모델로, 다양한 산업 분야에서 사용되고 있다. 세션 기반 추천 시스템 중 SASRec(Self-Attentive Sequential Recommendation) 모델은 MC/CNN/RNN 기반의 기존 여러 순차 모델들에 비하여 효율적인 성능을 보인다. 본 연구에서는 SASRec 모델의 하이퍼파라미터 중 배치 사이즈(Batch Size), 학습률 (Learning Rate), 히든 유닛(Hidden Unit)을 조정하여 실험함으로써 하이퍼파라미터에 의한 성능 변화를 분석하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.219-220
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• 2021

자율운항 선박 지원 6종 서비스는 인공지능 센서 기반 선박 접/이안 및 계류지원 서비스, 화물 양적하 및 선박 입출항 지원, 선박과 터미널 간 실시간 정보 교류를 통한 운항정보 동기화, PSC 점검지원, 선박의 주요 기기를 육상 시범운영센터에서 표출하는 상태모니터링 지원 서비스, 해양사고 발생 시 신속한 조치을 위한 사고 대응지원 서비스로 구성되어 있다. 이 연구에서는 개발되는 6종 서비스 성능검증이 원활히 수행될 수 있도록 육상과 실선박에 설치되어야 하는 장비, 선박과 육상서비스 센터의 데이터 전송을 위한 네트워크 인프라 그리고 종합 상황실 역할의 육상 시범운영센터를 구축하여 안전운항을 위해 6종서비스가 이루어 져야한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.101-103
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• 2023

With the recent advances in communication technology and Internet of Things (IoT) infrastructure, home automation systems have emerged as a new paradigm for providing users with convenient smart home services. The IoT ecosystem has merged digital systems with the physical world, dramatically changing the way people live and work. However, at the same time, security remains one of the most significant research issues in IoT, as the deployment and application of high-availability systems come with various security risks that cause serious threats to users. Among them, the security issues arising from the interaction among devices/applications should not be underestimated. Attackers can exploit interactions among devices/applications to hack into the user's home. In this paper, we present a survey of research on detecting various types of interactions among devices/applications in IoT.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1037-1038
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• 2023

기술의 발전으로 인해 스마트 가전제품이 늘어나며 스마트 홈 기술이 주목을 받고 있다. 그러나 이러한 기술은 설정과정의 복잡성으로 사용자들이 쉽게 접근하기 어렵다. 특히 디지털 기기 사용에 익숙하지 않은 사용자들을 스마트 홈 기술로부터 소외시키는 결과를 낳고 있다. 본 논문에서는 사용자 친화적인 스마트 홈 시스템을 제안한다. 사용자의 시선 방향을 추적하여 디바이스를 선택하고 간단한 인터페이스의 컨트롤러로 디바이스를 손쉽게 조작할 수 있도록 한다. 또한, 생성형 인공지능과 RAG 를 결합하여 사용자가 가전제품과 자연스럽게 대화하며 정보를 얻을 수 있는 인터페이스를 제공한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.794-795
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• 2023

금융 소외 계층은 여전히 보이스피싱과 같은 금융 범죄의 위험에 직면하고 있다. 본 논문에서는 이러한 위험을 완화하기 위해 모바일 애플리케이션을 통한 보이스피싱 예방을 강화하고자 한다. 이를 위해 AI 기술을 적용하여 데이터를 추출, 학습 및 분석하는 혁신적인 보안 기술을 개발하고자 한다. 이러한 기술의 적용을 통해 금융 소외 계층을 더 효과적으로 보호하고 금융범죄로부터 보안을 강화하는데 기여할 것으로 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.480-481
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• 2024

이 연구는 자폐 스펙트럼 장애(ASD)를 가진 아이들을 대상으로 한 디지털 치료제의 필요성을 탐구하고자 한다. ASD는 사회 생활 및 관심사에 제한을 가지고 있으며, 현재까지는 진단과 치료에 대한 효과적인 방법이 없는 상황이다. 최근 디지털 기술과 의료가 결합된 치료제의 중요성이 부각되고 있기에, 저자는 이를 통해 시간과 비용을 절감하는 디지털 치료 방법을 제안한다. 본 연구에서는 대화형 인공지능을 활용하여 스무 고개 게임을 통해 자폐 스펙트럼 장애를 가진 아이들의 사회성 기술을 향상시키는 플랫폼을 개발하고자 한다. ASD특성을 고려하여 디지털 기기에 익숙한 아이들에게 소통을 훈련시키는 효과를 기대한다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.64-67
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• 2006

Computer performance and the development of computer appliances of today have adopted a new shape of concept, "ubiquitous computing." Thus, users can readily obtain access to abundant information as they can utilize the wireless network taking advantage of the ubiquitous concept, which allows usage inhibited by neither time nor location. In this process, the supply and feedback of information tends to be made real in the form of "interactive agent". This interactive agent with the application of artificial intelligence can enhance the reliability of information using friendly characters, and is used as a tool to grasp the intention! and behavior patterns of the users. This paper will take a look at the concept and the definition of the intelligent agent with "added characteristic", and furthermore investigate the potential and the scope of its development analyzing its features and comparing the examples of the domestic market that pursues to generate profits with it.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.33-39
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• 2021

Speech recognition technology is being combined with deep learning and is developing at a rapid pace. In particular, voice recognition services are connected to various devices such as artificial intelligence speakers, vehicle voice recognition, and smartphones, and voice recognition technology is being used in various places, not in specific areas of the industry. In this situation, research to meet high expectations for the technology is also being actively conducted. Among them, in the field of natural language processing (NLP), there is a need for research in the field of removing ambient noise or unnecessary voice signals that have a great influence on the speech recognition recognition rate. Many domestic and foreign companies are already using the latest AI technology for such research. Among them, research using a convolutional neural network algorithm (CNN) is being actively conducted. The purpose of this study is to determine the non-voice section from the user's speech section through the convolutional neural network. It collects the voice files (wav) of 5 speakers to generate learning data, and utilizes the convolutional neural network to determine the speech section and the non-voice section. A classification model for discriminating speech sections was created. Afterwards, an experiment was conducted to detect the non-speech section through the generated model, and as a result, an accuracy of 94% was obtained.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.3
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• pp.85-96
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• 2023

This study developed and evaluated a safe route guidance service for electric personal assistive mobility device used mainly by the mobility impaired people to improve their mobility. Thirteen underlying factors affecting the mobility of electric personal assistive mobility device have been derived through a survey with the mobility impaired people and employees in related organizations in Busan Metropolitan City. After assigning safety scores to individual factors and identifying the relevant factors along routes of interest with an object detection AI model, the safe route for electric personal assistive mobility device was provided through an optimal path-finding algorithm. As a result of comparing the general route of T-map and the recommended route of this study for the identical routes, the latter had relatively fewer obstacles and the gentler slope than the former, implicating that the recommended route is safer than the general one. As future works, it is necessary to enhance the function of a route guidance service based on the real-time location of users and to conduct spot investigations to evaluate and verify its social acceptability.

• Land and Housing Review
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• v.14 no.3
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• pp.125-135
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• 2023

In South Korea, it has been increased the necessity of supplying housing services to meet the needs and desires of various residents by reflecting various demographic and social changes. In particular, various smart device has been widely utilized in South Korea and the smart technologies, such as artificial intelligence and the Internet of Things has been developed rapidly. These smart technologies could support smart housing that allows residents to easily and comfortably employ residential services. However, it is necessary to improve the awareness of users in order to spread the smart housing residential services connected to smart technologies. For this reason, this study observed changes in users' perceptions of smart housing residential service technology using Living Lab. As a result, after experiencing the Living Lab, users' awareness of smart housing housing service increased, and it was observed that the preferred housing service technology was more detailed than before the Living Lab experience. This study shows that it is important to raise users' awareness for the dissemination of smart housing residential service technology, and that Living Lab can be an effective means for this purpose.