• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.42-43
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• 2022

본 논문은 모바일 단말에서 실시간으로 동작하는 딥러닝 기반 경량 초고해상화 기술에 관한 내용이다. 대용량 3차원 메쉬 모델의 비실시간 압축은 실시간 스트리밍 응용 시나리오에서 제약점으로 작용하고 있고, 본 논문에서는 두 입력 텐서의 차원을 일치시켜야 하는 element-wise 덧셈 대신 concatenation을 활용해 연산량을 개선하고, float-to-int8 양자화 과정에서 발생하는 오차를 줄이기 위해 weight clipping 및 regularization 기법을 활용해 초고해상화 화질 성능을 개선하였다. 제안하는 알고리즘은 기존 모바일 초고해상화 기술을 화질 측면에서 0.12dB, 처리 속도 측면에서 13.6ms 개선하였고, Mobile AI & AIM 2022 실시간 이미지 초고해상화 대회에서 1등을 수상하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.277-278
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• 2024

일반적으로 한국인은 식사를 위해 음식 메뉴를 고를 때 쉽게 결정하지 못하는 비율이 50% 이상으로 높다고 알려져 있다. 이러한 단순 고민 해결을 위해 다양한 음식이나 맛집을 추천해 주는 모바일 앱이나 서비스가 존재한다. 그러나 이들은 사용자가 평소 많이 검색했던 음식이나 맛집들을 위주로 찾아주거나, 랜덤으로 지정된 카테고리 내의 음식들 중 하나를 추천해주는 방식, 혹은 사용자 리뷰 점수가 높은 음식점을 우선적으로 추천해 주는 방식 등을 사용하고 있다. 따라서 기존의 추천 방식은 음식을 추천에 있어 사용자의 의도나 실질적인 연관성이 매우 낮고 평소 먹던 음식의 종류를 크게 벗어나지 않는 경우가 많아 음식 추천이라는 본래의 취지와는 멀어진다. 본 논문에서는 음식 메뉴를 선정하는데 있어 실질적인 영향을 주는 환경 요소인 계절, 기후 등의 날씨 정보를 기반으로 생성형 AI를 통해 적절한 음식을 추천하고 해당 음식을 판매하는 음식점과 그 위치를 알려주는 앱을 개발한다. 개발하는 앱은 바쁜 직장인들이나 매 끼니를 고민하는 학생 등의 메뉴 고민을 해결하는데 도움을 줄 수 있으며, 각종 배달 서비스 앱의 음식 추천 기능의 고도화에 활용될 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.149-150
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• 2023

반려동물이 혼자 있는 시간이 많아지면 분리불안, 우울증, 이식증 등 질병이 생기기 때문에 이것을 방지하기 위해 보호자가 외부에 있어도 혼자 있는 반려동물을 돌보기 위한 앱이다. 플러터로 다중플랫폼 앱을 개발하였고 기능에는 원격 조작, 건강 상태 진단, 자동 급식, 청소, 놀이, 실시간 모니터링 기능이 포함되어 있다. 아두이노와 통신을 위한 flutter Blue 패키지를 사용하였다. 반려동물 돌봄 로봇은 아두이노와 블루투스 모듈을 활용하여 스마트폰 앱에서 조작 가능한 Caterpillar 모바일 로봇을 활용하였다. 이 연구의 목적은 반려동물과 보호자에게 편의성 제공을 목표로 한다.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.49-58
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• 2019

In the era of the 4th Industrial Revolution, artificial intelligence (AI) has become one of the core technologies in terms of the business strategy among information technology companies. Both international and domestic major portal companies are launching AI search services. These AI search services utilize voice, images, and other unstructured data to provide different experiences from existing text-based search services. An unfamiliar experience is a factor that can hinder the usability of the service. Therefore, the usability testing of the AI search services is necessary. This study examines the usability of the AI search service on the Naver App 8.9.3 beta version by comparing it with the search services of the current Naver App and targets 30 people in their 20s and 30s, who have experience using Naver apps. The usability of Smart Lens, Smart Voice, Smart Around, and AiRS, which are the Naver App beta versions of their artificial intelligence search service, is evaluated and statistically significant usability changes are revealed. Smart Lens, Smart Voice, and Smart Around exhibited positive changes, whereas AiRS exhibited negative changes in terms of usability. This study evaluates the change in usability according to the application of the artificial intelligence search services and investigates the correlation between the evaluation factors. The obtained data are expected to be useful for the usability evaluation of services that use AI.

• Journal of the HCI Society of Korea
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• v.14 no.2
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• pp.71-81
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• 2019

As AI technology develops, its application has been extended to diverse fields. In particular, AI-enabled Chatbot services have garnered growing attention and such services are more important as a tool of communication in mobile shopping. However, research on chatbots is in its early stage and the understanding of chatbots in the context of mobile commerce is very limited. The purpose of this study is to empirically investigate consumer responses to a shopping chatbot with a focus on the effects of chatbot agent types and message types. Specifically, a $2{\times}2$ between-subjects experimental design, with the agent type (secretary/friend) and the message type (factual/evaluative) as the independent variables, was employed. The results show that although main effects of chatbot agent and message types are not found, interaction effects between chatbot agents and message types on consumer responses are significant. Specifically, when the agent type was a secretary, consumer responses to product recommendation with a factual message were more positive. On the other hand, in the case of the friend agent, the evaluative message led to more positive responses. The findings suggest that communication elements are important in the understanding of consumer responses to chatbots in mobile shopping and effective strategies for utilizing chatbots for mobile commerce should be considered.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.365-368
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• 2018

인공지능 기술이 발달하면서 챗봇 플랫폼이 주목받고 있다. 챗봇이란 규칙 또는 인공지능(AI)을 이용해 사용자와 상호작용을 하는 대화형 인터페이스다. 챗봇에서 대화를 처리하는 방법은 규칙기반 대화 시스템, 검색기능 대화 시스템, 생성기반 대화 시스템이 있다. 본 논문에서는 규칙 기반 대화 시스템을 바탕으로 하는 모바일 영화 챗봇 서비스를 개발하였다. 이를 통하여 사용자는 더 편리하게 영화 관련 정보를 제공받을 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.99-107
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• 2020

In this paper, we analyze the characteristics of mobile cache, which is used to improve the data access speed when executing applications on mobile devices, and verify the importance of mobile cache through a cache data access experiment. The mobile device market has grown at a fast pace over the past decade; however, battery limitations and size, price considerations restrict the usage of fast hardware. Thus, their performance are supplemented by using a memory buffer structure such as the cache memory. The analysis mainly focuses on cache size, hierarchical structure of cache, cache replacement policy, and the effect these features has on mobile performance. For the experimental data, we applied a data set from a microprocessor system study, originally used to test the cache performance. In the experimental results, the average data access speed on a mobile device showed a performance improvement of up to 10 times with the presence of cache memory than without. Accordingly, the cache memory was helpful for the performance improvement of a mobile device when the specifications were identical.

• Electronics and Telecommunications Trends
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• v.36 no.4
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• pp.1-12
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• 2021

The competition to lead the next generation of mobile technologies, 6G, is underway while the deployment of 5G has not been implemented worldwide. ITU-R plans to develop technical requirements and standards after completing the 6G Vision by 2023. It can be considered too early to have a concrete view of the 6G core network architecture from this timeline. However, major stakeholders have started making their presence felt by publishing their views. From updated analysis on the technology and service trends proposed, we present a list of research directions on 6G core network from several perspectives: distribution of network functions to nearer edge locations; future fixed-mobile convergence, including low earth orbit satellites; highly-precise QoS guarantee; supporting an extremely wide variety of service requirements; AI-native automation and intelligence; and aligning with the evolution of radio access network.

• Convergence Security Journal
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• v.17 no.5
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• pp.93-99
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• 2017

Recently IoT(Internet of Things) service industry has grown very rapidly. In this paper, we investigated the changes in IoT service industry as well as new direction of human life in future global society. Under these changing market conditions, competition has been also changed into global and ecological competition. But compared to the platform initiatives and ecological strategies of global companies, Korean companies' vision of building ecosystems is still unclear. In addition, there is a need of internetworking between mobile and IoT services. IoT security Protocol has weakness of leaking out information from Gateway which connected wire and wireless communication. As such, we investigate the structure of IoT and AI service ecosystem in order to gain strategic implications and insights for the security industry in this paper.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1375-1380
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• 2021

Korea's security response to application service app is still insufficient due to the initial opening of the public safety network. Therefore, preemptive security measures are essential. In this study, we proposed to establish a 'public safety network app security system' to prevent potential vulnerabilities to the app store that distributes app in public safety network and android operating system that operate app on dedicated terminal devices. In order for an application service app to be listed on the public safety network mobile app store, a dataset of malicious and normal app is first established to extract characteristics and select the most effective AI model to perform static and dynamic analysis. According to the analysis results, 'Safety App Certificate' is certified for non-malicious app to secure reliability for listed apps. Ultimately, it minimizes the security blind spots of public safety network app. In addition, the safety of the network can be secured by supporting public safety application service of certified apps.