• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.47-50
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• 2017

PC 혹은 모바일 환경이 점점 발전됨에 따라 사용자들은 자신의 목적에 맞는 다양한 콘텐츠들을 쉽게 이용하고 있다. 사용자는 정상적인 콘텐츠를 이용할 경우 콘텐츠가 가지고 있는 태그정보를 통해 콘텐츠의 내용을 식별하여 사용한다. 하지만 올바른 태그정보가 들어있지 않은 콘텐츠의 경우 사용자는 잘못 입력된 태그정보로 인해 콘텐츠를 식별하는 과정에서 어려움을 겪을 수 있는 문제점을 가지고 있다. 본 논문에서는 사용자가 가지고 있는 콘텐츠에 접근하여 스마트폰 혹은 PC에 저장되어있는 다양한 콘텐츠들을 유튜브 API를 통해 유튜브 플랫폼에 존재하는 영상들과 매칭 시키고, 매칭 시킨 영상들을 사용자 계정에 동기화시키는 시스템을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.255-256
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• 2014

최근 학생들과 직장인들을 중심으로 취업과 자기계발을 위한 그룹 활동이 많이 이루어지고 있다. 하지만 그룹 활동 중 팀원 간 원활한 연락이 이루어지지 않아 그룹 활동에 어려움을 겪는 경우가 많다. 이러한 문제를 해결하기 위해서 본 논문에서는 사용자가 속한 다양한 그룹들을 모바일 기기에서 관리할 수 있도록 애플리케이션으로 구현하였다. 본 논문에서 제시하는 애플리케이션은 그룹 구성원로부터 설정된 알람을 그룹 구성원 전체가 공유할 수 있도록 하였다. 그리고 여행 시 개인별로 준비해야 할 준비물이나 회의 시 지참해야 할 자료 목록과 내용을 그룹 구성원들이 실시간으로 공유할 수 있는 기능을 구현하였다.

• KIISE Transactions on Computing Practices
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• v.21 no.7
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• pp.464-469
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• 2015

Long-term electrocardiogram data can be acquired by linking a Holter monitor to a mobile phone. However, most systems are designed to detect arrhythmia through heartbeat classification, and not just for supporting clinical decisions. In this paper, we propose an Abstracting algorithm, and introduce an analogous pateint search system using this algorithm. An analogous patient searcher summarizes each patient's typical pattern using the results of heartbeat, which can greatly simplify clinical activity. It helps to find patients with similar arrhythmia patterns, which can help in contributing to diagnostic clues. We have simulated these processes on data from the MIT-BIH arrhythmia database. As a result, the Abstracting algorithm provided a typical pattern to assist in reaching rapid clinical decisions for 64% of the patients. On an average, typical patterns and results generated by the abstracting algorithm summarized the results of heartbeat classification by 98.01%.

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.87-95
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• 2012

In this paper, we propose a mobile book management application using the camera of a smart phone and the open API book information provided online. The camera automatically scans the bar-code or QR-code of a particular book. The code of that book is used to transmit detailed information to the open API. Then the proposed application records this information for use in an "Scan list" or an "My book list". This application notes the page of the book that the user is currently reading and, if the user has read the entire book, he or she can comment about it. Therefore, the proposed application provides useful functions so that the users can manage their books effectively.

• Journal of Digital Contents Society
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• v.13 no.4
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• pp.617-624
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• 2012

The purpose of this paper is to plan and implement e-storytelling for improving children's creativity, which consists of e-storytelling, thinking questions, and character sticker canvas. Especially It makes children draw paintings feel easier by character sticker. This webapp shows the flash animation e-storytelling and gives the question to answer by painting with a fertile imagination on the canvas as transforming the character sticker. A user can input the title of painting and store it when finish the drawing. This is an educational tool which makes educatees think more and express their ideas through questions. Therefore, we can check how much children's imagination is changed and diversed by the stored paintings.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.531-534
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• 2002

위치 기반 광고란 휴대폰, PDA(Personal Digital Assistant), 노트북 PC 등 위치 획득이 가능한 단말의 위치 정보를 이용하여 광고를 하는 것으로 위치 추적이 가능한 단말의 위치 정보를 활용하여 부가정보를 서비스하는 위치 기반 서비스 (LBS, Location Based Services)의 한 종류이다. 최근의 이동 통신 기술의 발달과 휴대폰, PDA 등 모바일 단말의 급속한 확산으로 인하여 LBS 는 유무선 인터넷의 응용 및 그를 이용한 부가 가치 창출에 있어 핵심적인 역할을 할 것이며, 특히 위치 기반 광고는 LBS 시장의 상당 부분을 차지할 것으로 예상되고 있다. 이러한 위치 기반 광고는 광고를 저장하고 관리하는 광고 ASP (Application Service Provider) 플랫폼에서 단말의 위치 정보를 저장 및 관리하는 LBS 플랫폼을 참조하여 위치 및 시간에 따라 광고의 대상이 되는 사용자 목록을 얻고, 해당 사용자에 대하여 단문 메시지 또는 멀티미디어 광고를 제공함으로써 이루어질 수 있다. 본 논문에서는 현재 많이 사용되고 있는 단문 메시지 서비스 (SMS, Short Message Services)를 사용하여 위치 기반 광고를 제공할 수 있는 광고 ASP 플랫폼을 설계한다. 이를 위해 광고 ASP 플랫폼이 제공하여야 하는 기능과 위치 기반 광고의 처리 흐름을 분석한다.

• The KIPS Transactions:PartC
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• v.12C no.5 s.101
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• pp.617-622
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• 2005

Lately, the MANET research has focused on providing routing services with security and previous schemes have been proposed for detecting malicious nodes in a MANET. However, they still include some problems which malicious nodes cannot be found when they falsely report other nodes as malicious. Accordingly, we propose a novel and efficient scheme for detecting malicious nodes using report messages and a report table which is consisted of node ID both for suspecting and reporting when the malicious nodes behave normally during the route discovery, but the other hand they drop and modify packets, or falsely report other nodes as malicious during the data transmission. Our proposed scheme is applicable to not only DSR but aiso AODV. And we provide some simulation results of our proposed scheme by comparing general AODV with our proposed scheme. Simulation results show that our Proposed scheme outperforms general AODV in terms of average packet loss ratio and packet delivery ratio.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2871-2877
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• 2015

Shopping patterns are changing with the emergence of SNS. Recently, it is also interested in providing the information based on the users' needs. Generally, the provided information is obtained from the history of users' simple browsing. Best selling hot item list is also provided in order to reflect the preferences of public users. However, the provided information is irrelevant to an individual preference. In this paper, we propose a method to utilize inner and outer SNS for analyzing public preferences about goods which are interested by individual users. The inner analyzing module collects and analyzes the preferences of community members about two goods designated by individual users. The outer analyzing module supports to analyze public preferences by using the tweeter SNS. The results of implementation show that it is possible to recommend goods based on the individual users' preferences unlike the existing shopping mall.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1444-1452
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• 2010

There is very little information on mobile terminal service systems such as CRUMPET because the all the users have different situations and characteristic, and so it is also difficult to find correlations. Because of the difficulty of customizing and recommending information based on preference stemming from the users' various situations and characteristics, they usually provide limited, conceptual information. This paper will recommend a system that recommends information tailored to the user's situation and characteristics, using the Spearman correlation coefficients. It finds correlations from users' information and sequences information that is suitable to the user's situation and characteristics into a list, thereby solving the problem of limited, conceptual information. Performance tests have revealed when compared to existing service systems, this system is more effective in terms of precision and recall, with a 92.3% precision rate, and a 73.8% recall rate.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.134-143
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• 2021

Recently, with the development of mobile devices and social media services, contents recommendation schemes have been studied. They are typically applied to the job curation systems. Most existing university education content recommendation schemes only recommend the most frequently taken subjects based on the student's school and major. Therefore, they do not consider the type or field of employment that each student wants. In this paper, we propose a university educational contents recommendation scheme for job curation services. The proposed scheme extracts companies that a user is interested in by analyzing his/her activities in the job curation system. The proposed scheme selects graduates or mentors based on the reliability and similarity of graduates who have been employed at the companies of interest. The proposed scheme recommends customized subjects, comparative subjects, and autonomous activity lists to users through collaborative filtering.