• Journal of Digital Convergence
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• 제17권10호
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• pp.259-264
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• 2019

This paper proposes an image prediction system architecture for deep running in enterprise environment. Easily transform into an artificial intelligence platform for an enterprise environment, and allow sufficient deep-running services to be developed and modified even in Java-centric architectures to improve the shortcomings of Java-centric enterprise development because artificial intelligence platforms are concentrated in the pipeline. In addition, based on the proposed environment, we propose a more accurate prediction system in the deep running architecture environment that has been previously learned through image forecasting experiments. Experiments show 95.23% accuracy in the image example provided for deep running to be performed, and the proposed model shows 96.54% accuracy compared to other similar models.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제25권12호
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• pp.1716-1722
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• 2021

Recently, the capacity of video content delivery services has been increasing significantly. Therefore, the importance of user recommendation is increasing. In addition, these contents contain a variety of characteristics, making it difficult to express the characteristics of the content properly only with a few keywords(Elements used in the search, such as titles, tags, topics, words, etc.) specified by the user. Consequently, existing recommendation systems that use user-defined keywords have limitations that do not properly reflect the characteristics of objects. In this paper, we compare the efficiency of between a method using voice data-based subtitles and an image comparison method using keyframes of images in recommendation module of educational video service systems. Furthermore, we propose the types and environments of video content in which each analysis technique can be efficiently utilized through experimental results.

• Journal of the Korea Society of Computer and Information
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• 제28권1호
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• pp.9-16
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• 2023

In the IoT environment, various objects mutually interactive, and various services can be composed based on this environment. In the previous study, we have developed a resource collaboration system to provide services by substituting limited resources in the user's personal device using resource collaboration. However, in the preceding system, when the number of resources and situations increases, the inference time increases exponentially. To solve this problem, this study proposes a method of classifying users and resources by applying the BIG5 user type classification model. In this paper, we propose a method to reduce the inference time by filtering the user's preferred resources through BIG5 type-based preprocessing and using the filtered resources as an input to the recommendation system. We implement the proposed method as a prototype system and show the validation of our approach through performance and user satisfaction evaluation.

• The KIPS Transactions:PartD
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• 제14D권3호
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• pp.311-318
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• 2007

A wearable computer has appeared as the next generation computer with the development of embedded system technique in our country, although it has not been applicable well since the hardware and software capabilities are limited for multimedia service. We have implemented a MPEG-4 video player to provide with such multimedia application service using the embedded systems. This paper illustrates the development of MPEG-4 video player operating on the wearable computer named WPS(Wearable Personal Station), the wristwatch PC developed at ETRI.

• Journal of Digital Contents Society
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• 제19권8호
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• pp.1453-1462
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• 2018

In this paper, we look photographes of costumes and composed them as image files by extracting only costume part of the photograph excluding the background part. And we calculated representative color value to implement smart costume coordination program using complementary colors corresponding to representative color values in the costume area. And then, We have solved the problem of over-segmentation caused by extracting the costumes area by applying an anisotropic diffusion algorithm that can remove the noise of the image and flatten the gradient. In order to satisfy users' various needs, we plan to add not only complementary colors coordination but also more various color scheme.

• The KIPS Transactions:PartD
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• 제14D권2호
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• pp.235-240
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• 2007

WebInterphone is a temporary composite word made with a Web and a Interphone, and the WebInterphone system has been developed as a new ahrdware/software solution under the .NET environment to remove the drawback of a Interphone which is used only if a host and a visitor should be in same place. In the WebInterphone system, a WebInterphone is connected to a home PC which is also connected to Internet such that a host and a visitor could have a real time communications even though nobody is at home. In this paper, the structure of the WebInterphone system and its operation process are discussed.

• Electronics and Telecommunications Trends
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• 제30권4호
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• pp.92-101
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• 2015

미래 전장은 정보 지식 기반의 첨단 전력체계를 확충하기 위해 향후 전력구조를 통합, 지휘통제통신(C4I) 체계와 생존성과 통합성이 향상된 전장의 네트워크중심전(NCW) 수행능력을 향상시킬 것이다. 사이버물리시스템(Cyber-Physical Systems: CPS)은 함정전투체계에 적용되고 있는 DDS를 포함하여 국방 M&S의 근간인 Live, Virture, Constructive(L-V-C) 체계의 큰 축을 형성하고 있다. 사물인터넷(Internet of Things: IoT) 기술은 센서네트워크, 통신, Radio Frequency Identification(RFID), Ubiquitous Sensor Network(USN), Machine to Machine(M2M), D2D 기술 및 상황인지, 지능서비스를 위한 정보수집/가공/융합/분석/예측기술을 포괄적으로 포함한 기술로서 미래산업을 이끌어 갈 차세대 선도 기술이며, 특히 군사적으로도 감시정찰 센서네트워크(USN), 견마형로봇, 경전투로봇과 무인기 기술 및 전술정보통신망체계(TICN) 등 첨단 통신네트워크 기술의 전력화 추세는 IoT 기술의 적용영역을 넓혀주고 있다. 감시정찰체계(Sensor)에서는 감시정찰 분야 영상정보 처리, 표적탐지 등과 관련된 IoT 기술 소요와 지휘통제통신(C4I) 체계의 상호운용성, 데이터링크, 지능형 통신체계 등 C4I 관련 IoT 기술 소요 및 타격체계(Shooter)의 내장형 SW 등 유 무인 무기체계 관련 IoT 기술의 소요가 증대될 것으로 예상된다. 본고는 CPS 및 IoT 기술의 군사적 활용방안 및 획득전략에 대한 적용기술 및 발전방향을 살펴본다.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.1159-1162
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• 2014

광고 시장 / 채널은 새로운 매체로 전환이 급격히 빠른 분야이다. 과거 TV, 신문 등과 같은 전통적인 매스미디어에서, 현재는 인터넷 및 모바일 광고와 디지털 사이니지를 통한 옥외광고가 주를 이루고 있다. 이에 따라 지속적인 마케팅 패러다임의 변화, 광고시장 / 로봇(서비스형, 지능형) 시장의 성장세를 기반으로 디지털 사이니지와 이동로봇을 결합하여 광고효과를 극대화 시킬 수 있는 커뮤니케이션 마케팅 기반의 신개념 광고기기(Mobile Digital Signage Robot 이하 MDSR)를 제안한다. MDSR의 기본 목표는 로봇이 설정된 루트를 자동으로 이동하며 주변상황을 인지하여 상황에 맞는 광고를 노출시키는 데에 있다. 또한 사용자의 관심을 유도하는 인터랙티브 기능과, 커뮤니케이션 콘텐츠를 탑재하여 주위 사람들의 이목을 집중시키며, 광고노출빈도가 높아지고 흥미유발에 기여하여 광고효과를 극대화 시키고, 이용자 편의성을 제고시킨다. 본고에서는 마케팅 / 디지털 사이니지 / 로봇시장의 실태와 현황을 알아보고, MDSR개발을 위한 HW 필요 탑재부품의 성능정보 수집 및 평가, 로봇 이동제어 및 상황인지와 광고전환을 위한 핵심 SW 알고리즘 개발, 마케팅 전략 및 활용 시나리오, 기대효과 분석 등을 연구해 MDSR 제작 및 활용 방법 등을 살펴본다.

• The Journal of Information Systems
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• 제30권3호
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• pp.177-199
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• 2021

Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2009년도 추계학술발표대회
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• pp.279-280
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• 2009

스마트 의류는 일상생활에 필요한 IT기술을 이용한 디지털 장치와 섬유 패션기술을 융합시킨 차세대 하이테크 기능성 의류이다. 이는 소비자의 라이프스타일의 변화와 인간 중심의 감성을 중시한 디자인의 요구에 따라 여러 분야에서 다양하게 연구 개발되고 있다. 본 논문에서는 실시간 기상지수 제공을 위한 웨어러블 기반의 스마트 의류를 개발하고자 하였다. 착용자가 평소 자주 쓰는 의류를 응용하여 답답해하거나 불편하지 않게 스포츠 의류의 형태에 따라 제작하였다. 온도, 조도, 습도, 자외선을 감지하여 분석한 후 기상청에서 제공하는 생활기상지수를 응용하여 자외선지수, 체감온도지수, 불쾌지수, 열지수의 기상지수를 서비스한다. 개발된 웨어러블 기반의 스마트 의류는 외관 형태는 그대로 유지하고 착용성을 높였다. 기상지수는 실시간으로 무선 전송되어 이를 모니터링하게 된다. 제안된 방법에 대해서 논리적 타당성과 유효성을 검증하기 위해 실험적인 적용을 시도하고자 한다.