• Proceedings of the Korean Information Science Society Conference
• /
• 2004.10b
• /
• pp.130-132
• /
• 2004

최근 무선통신망의 발전에 따라 무선 인터넷 시장이 빠르게 성장하면서 이동성을 기반으로 하는 서비스에 대한 관심이 고조되고 있다. 그리고 휴대폰과 PDA(Personal Digital Assistants), MET(Mobile Data Terminal)와 같은 휴대용 단말기의 사용이 일반화된 가운데 GPS(Global Positioning System)를 기반으로 하는 서비스들도 점차적으로 보편화되어 가고 있다. 이러한 변화에 따라 이동성을 지원하는 무선 단말기를 기반으로 한 Mobile GIS 환경에서의 위치 정보 활용은 큰 관심을 불러일으키고 있으며, 또한 이러한 서비스를 효율적으로 제공하기 위해서 위치 기반 서비스(LBS: Location Based Service)의 기술개발이 필요하게 되었다. 이 논문에서는 전력설비 고장복구업무에 LBS를 적용하기 위해 차량에 장착하는 MDT에서 모바일 지도 서비스가 가능한 Compact형 GIS 엔진을 설계하고 구현한 결과를 제시한다.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.1046-1048
• /
• 2003

Recently, various researches in respect of the positioning technologies using satellites and the other sensors have made location-based services (LBS) more common and accurate. Consequently, concern about position information has been increasing. However, since these positioning systems only focus on user's position, it is difficult to know the user's attitude or detailed behaviors at the specific position. It is worthy to study on how to acquire such human attitude or behavior, because those information is useful to know the context of the user. In this paper, the sensor unit consisting of three dimensional accelerometer was attached to human body, and autonomously measured the perpendicular acceleration of ordinary human behaviors including activity modes such as walking, running, and transportation mode using transportation such as a train, a bus, and an elevator. Subsequently, using the classified measurement results, the method to identify the human activity modes was proposed.

• Review of KIISC
• /
• v.14 no.3
• /
• pp.56-67
• /
• 2004

위치기반 서비스(LBS ： Location Based Services)란 휴대폰, PDA, 노트북 PC 등 휴대용 단말기를 기반으로 사람이나 사물의 위치를 정확하게 파악하고, 그 위치와 관련된 부가 정보 서비스 및 이를 위한 시스템을 통칭한다. 최근의 이동 통신 기술의 발달과 휴대폰, PDA등과 같은 모바일 단말의 급속한 확산으로 인하여 위치기반 서비스는 유무선 인터넷의 응용 및 위치 정보를 사용한 부가 가치 창출에 있어 핵심적인 역할을 할 것으로 예상되고 있다. 이러한 위치 기반 서비스를 위해서는 단말의 위치 정보들을 저장 및 관리하고 위치 정보를 이용하여 다양한 응용 서비스를 지원하는 위치기반 서비스에서 보안서비스의 역할이 매우 중요하다. 이를 위해 위치 정보의 획득, 위치 정보의 저장 및 관리, 인증 및 정보 보호 등의 사용자 관리, 대용량 위치 정보 데이터베이스의 관리 등의 기능에서 안전한 보안 서비스를 제공하여야 한다. 본 고에서는 위치기반 서비스를 구성하는 플랫폼과 서비스 시스템간의 인증 및 보안 기술 적용 방안을 제시한다.

• 한국공간정보시스템학회:학술대회논문집
• /
• 2004.12a
• /
• pp.195-201
• /
• 2004

이 논문은 건물 및 상점, 도로표지판 등에 부착된 RFID 태그를 이용하여 위치정보를 획득하는 방법과, 이를 이용하여 위치기반 서비스를 실시할 수 있는 응용 시스템 및 이의 방법을 기술하고 있다. 기존의 GPS를 이용한 위치 정보는 신호를 보내는 인공위성의 지리적 변화에 의하여 정확도가 떨어지거나 전파 인터페이스 문제로 인하여 잘못된 위치정보를 주는 경우가 있다. 그러므로, 이 논문은 RFID 등에 위치정보를 식별할 수 있는 위치정보 식별자를 적용할 것을 제안한다. 이 것은 기존의 GPS 및 무선 네트워크를 사용할 때 발생할 수 있는 상기에 서술된 문제점을 해결하고, 태그를 통해 즉각적인 위치정보의 획득이 가능해 짐으로서 현재 이동통신사에서 제공하고 있는 위치정보 게이트웨이 접근에 대한 비용을 지불하지 않는 장점이 있다.

• Journal of Information Processing Systems
• /
• v.6 no.4
• /
• pp.521-536
• /
• 2010

Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approaches transform trajectories into sequences of location symbols and derive frequent subsequences by applying conventional sequential pattern mining algorithms. However, spatio-temporal correlations may be lost due to the inappropriate approximations of spatial and temporal properties. In this paper, we address the problem of mining spatio-temporal patterns from trajectory data. The inefficient description of temporal information decreases the mining efficiency and the interpretability of the patterns. We provide a formal statement of efficient representation of spatio-temporal movements and propose a new approach to discover spatio-temporal patterns in trajectory data. The proposed method first finds meaningful spatio-temporal regions and extracts frequent spatio-temporal patterns based on a prefix-projection approach from the sequences of these regions. We experimentally analyze that the proposed method improves mining performance and derives more intuitive patterns.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.5
• /
• pp.359-366
• /
• 2019

Indoor spatial data has great importance as the demand for representing the complex urban environment in the context of providing LBS (Location-based Services) is increasing. IndoorGML (Indoor Geographic Markup Language) has been established as the data standard for spatial data in providing indoor navigation, but its definitions and relationships must be expanded to increase its applications and to successfully delivering information to users. In this study, we propose an approach to integrate IndoorGML with Indoor POI (Points of Interest) data by extending the IndoorGML notion of space and topological relationships. We consider two cases of representing Indoor POI, by 3D geometry and by point primitive representation. Using the concepts of the NRS (node-relation structure) and multi-layered space representation of IndoorGML, we define layers to separate features that represent the spaces and the Indoor POI into separate, but related layers. The proposed methodology was implemented with real datasets to evaluate its effectiveness for performing indoor spatial analysis.

• Journal of Korea Spatial Information System Society
• /
• v.10 no.3
• /
• pp.79-91
• /
• 2008

Recently, with highly Interest In Location-Based Service(LBS) utilizing location data of moving objects, the GALIS(Gracefully Aging Location Information System) which is a cluster-based distributed computing architecture was proposed as a more efficient location management system of moving objects. In the SLDS(Short-term location Data Subsystem) which Is a subsystem of the GALIS, since the SDP(Short-term Data Processor) Master transmits current location data and queries to every SDP Worker, the SDP Master reassembles and sends query results produced by SDP Workers to the client. However, the services are suspended during the SDP Master under failure and the response time to the client is increased if the load is concentrated on the SDP Master. Therefore, in this paper, the extended SLDS was designed and implemented to solve these problems. Though one SDP Master is under failure, the other can provide the services continually, and so the extended SLDS can guarantee the high reliability of the SLDS. The extended SLDS also can reduce the response time to the client by enabling two SDP Masters to perform the distributed query processing. Finally, we proved high reliability and high availability of the extended SLDS by implementing the current location data storage, query processing, and failure takeover scenarios. We also verified that the extended SLDS is more efficient than the original SLDS through the query processing performance evaluation.

• Information Systems Review
• /
• v.11 no.1
• /
• pp.145-160
• /
• 2009

Based on the user-centered innovation theory of von Hippel (2005), this research seeks to provide a case study of user innovation in the automobile navigation industry, which is a representative applied service in the area of Location-Based Service (LBS). The automobile navigation development and maintenance/repair processes of M&Soft are analyzed around the seven characteristics of user innovation as outlined by von Hippel. As a result, among the three strategic responses of sellers in the successful utilization of user innovation, it was determined that the approach of M&Soft was limited to providing an easy-to-use information technology platform so as to encourage members to easily share all types of map or mobile information or ideas. The significance of this paper is in that the theory of von Hippel originally based on physical products was applied to digital ones in line with the trend of increasing importance of Internet-based content services.

• Journal of Digital Contents Society
• /
• v.18 no.5
• /
• pp.803-810
• /
• 2017

Currently, every person possesses a smart phone due to the development of the IT industry. There is an improper situation in which a smart phone is not set in silent mode, such as a lecture room, a library, and a theatre hall. The proposed system automatically automates the function of smart phones where they are designated as a public place or etiquette area and automatically return the function of the smartphone if they deviate from the location of the site. It is also equipped with a combination of autonomous devices and services, based on Bluetooth communications, which are applied to ultra-light low-power IoT(Internet of Things) devices, and has features that allow diverse types of features and services to be added without requiring deformation of the hardware.

• Journal of Internet Computing and Services
• /
• v.12 no.1
• /
• pp.99-110
• /
• 2011

Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.