• The Journal of Society for e-Business Studies
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• v.21 no.3
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• pp.15-28
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• 2016

This paper proposes a system recommending spatial information what user wants with collecting and analyzing tweets around the user's location by using the GPS information acquired in mobile. This system has built an emotion dictionary and then derive the recommendation score of morphological analyzed tweets to provide not just simple information but recommendation through the emotion analysis information. The system also calculates distance between the recommended tweets and user's latitude-longitude coordinates and the results showed the close order. This paper evaluates the result of the emotion analysis in a total of 10 areas with two keyword 'Restaurants' and 'Performance.' In the result, the number of tweets containing the words positive or negative are 122 of the total 210. In addition, 65 tweets classified as positive or negative by analyzing emotions after a morphological analysis and only 46 tweets contained the meaning of the positive or negative actually. This result shows the system detected tweets containing the emotional element with recall of 38% and performed emotion analysis with precision of 71%.

• The Journal of the Korea Contents Association
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• v.7 no.5
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• pp.138-145
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• 2007

Mobile network evolution and development of USN technologies introduce new business model based on context awareness. Cellular operators provide friend finding service using cell based location information and telematics service using GPS location information. Recently cellular operators provide yellow page service based cell based location information. In this paper, we develop mobile tour application on WIPI platform based on location information. Mobile tour information services provide the best information based on context awareness using user location information from LBS(Location Based Service) Platform, season, weather conditions, time from Web server, and personal preference information stored in database. Mobile tour information service application is developed on WIPI platform.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.106-107
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• 2012

기존의 소셜커머스는 제공되는 할인정보를 사용자가 직접 찾아야 하는 불편함이 있다. 최근 소셜커머스가 모바일 애플리케이션(이하 앱) 시장에 진출하면서 GPS 기술을 활용한 서비스를 제공하고 있다. 본 연구에서는 이러한 점에 착안해 소셜커머스에 GPS 기술과 나아가 할인정보 자동 알림 기능을 접목시킨 모바일 앱을 구현하고자 한다.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.118-121
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• 1998

Standardized representations and data codes are crucial for the exchange of information between systems, organizations, and people in the telecommunications operations area. ITU-T M.1400 recommends a unified representation for the international network routes which includes such location data elements as Town A, Suffix Code which was designed for the representation of domestic network locations to meet the ITU-T recommendation. This paper suggests an expanded building ID code for the representation of the international network locations.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.259-260
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• 2014

본 논문은 편의점, 까페 등의 창업시 많은 후보군들 사이에서 적절한 위치를 추천하는 서비스를 만들어보고자 수행되었다. 본 연구는 Skyline Query를 이용하여 사용자가 설정한 지점으로부터의 거리에 따른 예상이익을 도출해내고, MapReduce를 사용하여 많은 후보군들을 대상으로 이를 효율적으로 처리하도록 구현하였다. 본 연구의 방법을 사용하여 창업자가 설정한 한정적 자원 및 거리 제한 조건 안에서 최적의 위치를 손쉽게 추천해줄 수 있을 것이다.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.21-24
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• 2008

본 논문에서는 오프라인 쇼핑몰에서 위치추적 기술과 동선분석을 이용하여 오프라인 쇼핑몰 고객의 위치분석 데이터를 분석한 결과를 토대로 고객에게 실시간 대화형(Interactive) 서비스 제공을 위한 선호 상품 시스템을 설계하여 쇼핑효과를 극대화하며, 고객 만족도를 향상시킬 수 있도록 돕는데 그 목적이 있다.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.539-542
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• 2010

본 논문에서는 오프라인 쇼핑몰에서 위치추적 기술과 동선분석을 이용하여 오프라인 쇼핑몰 고객의 위치분석 데이터를 분석한 결과를 토대로 고객에게 실시간 대화형(Interactive) 서비스 제공을 위한 선호 상품 시스템을 설계하여 쇼핑효과를 극대화하며, 고객 만족도를 향상시킬 수 있도록 돕는데 그 목적이 있다.

• KIISE Transactions on Computing Practices
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• v.21 no.6
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• pp.403-411
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• 2015

Nowadays, in the so-called 'smart era', people are likely to feel more comfortable in on-line meetings than in off-line meetings. However, on-line meetings are often considered unimportant and it is difficult for participants to share their feelings. This paper suggests a mobile application that can revitalize off-line meetings to address these problems. Wecok Application, which suggests the best meeting place by applying users' preferences and their locations, provides a function-oriented user interface and simple touch flow. Wecok consists of a client/server software, and currently supports only three users simultaneously. It enables exchange of off-line and on-line communication by expanding meetings from on-line to off-line. By using Wecok, users can easily decide on an off-line meeting place.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.7B
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• pp.619-631
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• 2006

With the advent of ubiquitous computing environments, it has become increasingly important for applications to take full advantage of context information, such as the user's location, to offer greater services to the user without any explicit request. In this paper, we propose context-aware active services on the basis of CAMUS (Context-Aware Middleware for URC Systems). CAMUS is a middleware for providing context-aware applications with development and execution methodology. Accordingly, the applications developed by CAMUS respond in a timely fashion to contexts. To evaluate, we apply proposed active services to TV application domain. Therefore, we implement and experiment the TV contents recommendation service agent, control service agent and TV task based on CAMUS. The context-aware TV task is to recommend programs and control of TV according to user preference, location and voice commands.

• Journal of KIISE:Databases
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• v.31 no.2
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• pp.163-173
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• 2004

Recently, location-based services are becoming very Popular in mobile environments. In this paper, we propose a new association based prefetch algorithm (called by STAP) that efficiently supports information service based on the large quantity of spatial database in mobile environments. We apply the spatial-temporal relations that are meaningful for location-based queries in mobile environments. Moreover, STAP considers user's mobility and the weight of spatial data. The relation of services is a new aspect not considered in previous cache politics. So STAP is the first prefetch algorithm considering the spatial-temporal relations and thus the cache policy begins to gain a new dimension. We evaluate the performance of STAP and prove the efficiency of STAP.