• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.145-148
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• 2013

최근 디지털 기술의 고도화로 인하여 테크놀로지가 급속도록 발전하면서 다양한 정보통신 기술과 지식의 융합을 교육 환경에 적용하는 스마트러닝에 대한 관심이 집중되기 시작하였다. 이러한 스마트러닝 환경의 장점들을 통해 학생들이 더욱 효과적으로 교육받을 수 있게 되었다. 학생들은 모바일 기기의 접근성에 대한 인식이 확대되고 모바일 기기와 교육용 프로그램을 활용한 학습이 활성화 되고 있다. 이에 본 연구에서는 스마트기기를 이용한 학습과 평가가 이루어질 수 있는 방안에 대해 알아보고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.35-43
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• 2017

In IoT(Internet of Things) environment, users want to receive customized service by users' personal device such as smart watch and pendant. To fulfill this requirement, the mobile device should support a lot of functions. However, the miniaturization of mobile devices is another requirement and has limitation such as tiny display. limited I/O, and less powerful processors. To solve this limitation problem and provide customized service to users, this paper proposes a collaboration system for sharing various computing resources. The paper also proposes the method for reasoning and recommending suitable resources to compose the user-requested service in small device with limited power on expected time. For this goal, our system adopts MBTI(Myers-Briggs Type Indicator) to analyzes user's behavior pattern and recommends personalized resources based on the result of the analyzation. The evaluation in this paper shows that our approach not only reduces recommendation time but also increases user satisfaction with the result of recommendation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.2
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• pp.174-190
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• 2010

In ubiquitous computing, invisible devices and software are connected to one another to provide convenient services to users [1][2]. Users hope to obtain a personalized service which is composed of customized devices among sharable devices in a ubiquitous smart space (which is called USS in this paper). However, the situations of each user are different and user preferences also are various. Although users request the same service in the same USS, the most suitable devices for composing the service are different for each user. For these user requirements, this paper proposes a device recommender system which infers and recommends customized devices for composing a user required service. The objective of this paper is the development of the systems for recommending devices through context-aware inference in peer-to-peer environments. For this goal, this paper considers the context and user preference. Also I implement a prototype system and test performance on the real ubiquitous mobile object (UMO).

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.341-342
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• 2018

류, 온라인 쇼핑몰 산업이 발달하면서 운반해야하는 물류의 양이 증가하고, 인력의 증가로 인해 발생하는 비용이 증가하고 있다. 이에 물류 운반용 AGV(Automatic Guided Vehicle)의 필요성이 커지고 있다. AGV 운용의 큰 과제중 하나는 컴퓨터에 익숙하지 않은 작업자들이 보다 간편하게, 효율적으로 여러 대의 AGV를 운용하는 것이다. 본 논문에서는 사용자가 제어하기 위한 방안으로 핸드폰 어플리케이션을 제안한다. 어플리케이션을 통해 사용자가 유동적으로 목적지를 설정하여 운용할 수 있는 사용자 맞춤형 AGV 운용 시스템을 설계했다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.183-184
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• 2018

우리나라의 노인자살률은 OECD 국가 중에 1위이다. 인위적 고독사인 '자살'의 가장 큰 원인인 우울증을 의사소통을 통해 예방하고자 한다. 본 논문에서는 상황에 따라 독거노인에게 스피커가 먼저 질문하는 형식인 시스템을 제안한다. 음성인식 시스템인 스피커를 활용하여 독거노인의 의사소통을 증대시키고, 질문뿐만이 아니라 식사 여부, 약 복용 여부 관련 일상 알람도 주기 때문에 규칙적인 생활을 하는 데 도움을 준다.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.107-114
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• 2018

Recently, various wearable personal devices such as a smart watch have been developed and these personal devices are being miniaturized. The user desires to receive new services from personal devices as well as services that have been received from personal computers, anytime and anywhere. However, miniaturization of devices involves constraints on resources such as limited input and output and insufficient power. In order to solve these resource constraints, this paper proposes a resource collaboration system which provides a service by composing sharable resources in the resource sharing environment like IoT. the paper also propose a method to infer and recommend user-customized resources among various sharable resources. For this purpose, the paper defines an ontology for resource inference. This paper also classifies users behavior types based on a user model and then uses them for resource recommendation. The paper implements the proposed method as a prototype system on a personal device with limited resources developed for resource collaboration and shows the effectiveness of the proposed method by evaluating user satisfaction.

• Journal of Information Processing Systems
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• v.19 no.1
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• pp.33-45
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• 2023

This paper proposes an algorithm that automatically converts images into Pipo, painting images using OpenCV-based image processing technology. The existing "purity," "palm," "puzzling," and "painting," or Pipo, painting image production method relies on manual work, so customized production has the disadvantage of coming with a high price and a long production period. To resolve this problem, using the OpenCV library, we developed a technique that automatically converts an image into a Pipo painting image by designing a module that changes an image, like a picture; draws a line based on a sector boundary; and writes sector numbers inside the line. Through this, it is expected that the production cost of customized Pipo painting images will be lowered and that the production period will be shortened.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.2
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• pp.81-87
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• 2023

With the development of BCI devices, it is now possible to use EEG control technology to move the robot's arms or legs to help with daily life. In this paper, we propose a customized vehicle control model based on BCI. This is a model that collects BCI-based driver EEG signals, determines information according to EEG signal analysis, and then controls the direction of the vehicle based on the determinated information through EEG signal analysis. In this case, in the process of analyzing noisy EEG signals, controlling direction is supplemented by using a camera-based eye tracking method to increase the accuracy of recognized direction . By synthesizing the EEG signal that recognized the direction to be controlled and the result of eye tracking, the vehicle was controlled in five directions: left turn, right turn, forward, backward, and stop. In experimental result, the accuracy of direction recognition of our proposed model is about 75% or higher.

• Journal of The Korean Association of Information Education
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• v.4 no.2
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• pp.223-231
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• 2001

Hypermedia documents include structural information for their documents There have been researches on storing and searching hypermedia documents using the structural information of the documents. For the purpose of presenting hypermedia documents, however, only a few models have been proposed. In this paper, we propose a new object-oriented model based on the structural information of HyTime documents for storing and also presenting efficiently the documents. For this modeling, we consider an application of HyTime, a system for a news-on-demand service that provides news customized by user requests. Our modeling can be applied to several Hypermedia application areas, like as customized web-based instructions and digital libraries as well as news-on-demand services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.460-461
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• 2018

The traditional recommendation system is developed on the assumption that users behave independently, and have problem of readability and efficiency are inferior due to simply sort products or lack of function for associate product attributes with user's taste. To solve this problem in this study we propose a system that provides user customized information that the analysis of the unstructured review data with the purchase histories of users processed with meaningful information after crawling product review data using text mining with R. This allows to help user make decisions can be provided only necessary information without analyze massive amounts of products review data.