• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2968-2974
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• 2014

When lighting has installed indoor, we control lighting using human-detecting sensors for people who pass at night and places that are lack of quantity of light. However, malfunction can be caused by positions of inappropriate sensors, and in the case of passages of big buildings, it is a problem that even after a person pass, light apparatuses are turned on for a long time. In this paper, we propose lighting control system based on location positioning for energy saving that control lighting in accordance with passers's position through indoor location positioning. This system use the fingerprinting technology that is one of the location positioning technologies and RSSI data that is collected by a smart device. Using those, it can turn on only lightings that are included in the positioned location and reduce unnecessary power consumption. As a result of experiment, on condition that four people were existing and illumination was 308 lux, we assured reduction effect of 49 Wh.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.159-168
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• 2011

As e-commerce and social media service evolves, studies on recommender systems advance, especially concerning the application of collective intelligence to personalized custom service. With the development of smartphones and mobile environment, studies on customized service are accelerated despite physical limitations of mobile devices. A typical example is combined with location-based services. In this study, we propose a recommender system using movie genre similarity and preferred genres. A profile of movie genre similarity is generated and designed to provide related service in mobile experimental environment before prototyping and testing with data from MovieLens.

• The KIPS Transactions:PartD
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• v.13D no.3 s.106
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• pp.325-336
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• 2006

For supporting LBS service, recent studies on spatial network databases (SNDB) have been done actively. In order to gain good performance on query processing in SNDB, we, in this paper. design efficient storage and index structures for spatial network data, point of interests (POIs), and moving objects on spatial networks. First, we design a spatial network file organization for maintaining the spatial network data itself consisting of both node and edges. Secondly, we design a POI storage and index structure which is used for gaining fast accesses to POIs, like restaurant, hotel, and gas station. Thirdly, we design a signature-based storage and index structure for efficiently maintaining past, current, and expected future trajectory information of moving objects. Finally, we show that the storage and index structures designed in this paper outperform the existing storage structures for spatial networks as well as the conventional trajectory index structures for moving objects.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.225-233
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• 2005

최근 LBS는 '위치정보의 보호 및 이용에 관한 법률' 제정 및 시행령 준비에 의해 위치정보 이용에 대한 제도적인 안전장치가 마련되었으며 이동통신망, 유선망과 무선망의 결합에 의해 LBS의 범위는 점점 더 확장되고 있어 서비스 또한 고속 통신을 기반으로 매우 개인화되고 다양해지고 있다. 그 중에 위치기반 경보 서비스(Alert based on LBS)기술은 가족안전, 모바일 상거래 등의 Push형 서비스로 이동단말의 인치를 폴링 (Polling)하여 일정 영역이나 특정 조건에 만족하면 통보하거나 기 정의된 서비스를 제공해주는 고부가가치 서비스이다 기존 위치폴링 기술은 일정한 시간간격으로 위치를 획득하여 네트워크 망에 큰 부하를 주고 있다. 본 논문은 위치폴링 기술에 전반적인 이해와 관련 연구를 통해 문제점을 살펴본 후 문제 해결책을 제시한다 또한, 향후에 유무선 통합 환경에서 위치기반 경보 서비스의 중요성을 살펴본다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.127-129
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• 2005

최근 LBS(location-based service) 및 텔레매틱스(telematics) 응용의 효과적인 지원을 위해, 이상적인 유클리디언(Euclidean) 공간 대신, 실제 도로나 철도와 같은 공간 네트워크(network)를 고려한 연구가 활발하게 수행중이다. 본 논문에서는 공간 네트워크를 고려한 기존 k-최근접 질의 처리 알고리즘의 문제점을 제시하고, 공간 네트워크 데이터베이스에 보다 효율적인 새로운 k-최근접 질의 처리 알고리즘을 제안한다. 제안하는 질의처리 알고리즘은 순서정보 및 Materialization 기법에 근거하며 기존 방법의 검색 성능을 향상시킨 방법이다. 마지막으로 제안하는 k-최근접 알고리즘을 기존의 알고리즘과 성능 비교를 수행한다.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.4
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• pp.1-7
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• 2012

This paper proposes a new indoor location recognition system using a ZigBee network and a global positioning system(GPS). The proposed location recognition system applies GPS values that are mainly used for outdoor location recognition, to indoor location recognition; hence the techniques conventionally separated for the indoor and outdoor location recognition are integrated into one location recognition technique. The proposed system recognizes a location using the distance between nodes. Although the distance between nodes can be calculated by measuring the strength of the received ZigBee signals, generally the measured distance is not accurate and has high error rates since the strength of the ZigBee signals is different depending on the distance. In order to reduce the error rate, we have subdivided the output power of the received ZigBee signals into five levels. When a moving node generates a signal, each fixed node transmits the received signal strength and its own GPS information to other nodes, so the moving node can find its own accurate location in terms of the received signals.

• Spatial Information Research
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• v.23 no.3
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• pp.113-122
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• 2015

Recently, according to developing advanced construction technologies, buildings has been enlarged such as high-rise buildings or complex buildings associated with underground facilities. The number of indoor activity population has increased very quickly. Because of that, technical requirements for Indoor location based service (Indoor LBS) also have been increased. Although indoor networks have to be constructed for efficient LBSs in indoor space based on OGC IndoorGML, it is not suitable for large and complex space to apply the simple network structure to constructing indoor navigation networks. The indoor navigation network has to be constructed according to logical, physical, and functional constraints for indoor space. In order to do that, subspacing methods are required to partition large and complex indoor space into proper size of subspace. In this paper, we proposed the basic requirements of subspacing in indoor space for creating efficient indoor network, as well the work process of subspacing in indoor space.

• Journal of the Korean Geographical Society
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• v.46 no.6
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• pp.738-750
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• 2011

Partly due to the climate changes, flooding occurs more often than before. Particularly high urbanization causes more damages by flooding with unexpected downpours. Recent mobile telecommunication technology can help to reduce the damage by a natural disaster with quick alarming process. This research aimed to implement a flood warning GIS service system based on open source software and mobile hybrid application program with LBS. The developed system utilized location information of mobile clients for smart phone users to get alerted to flooding immediately. This service system would be very useful in urban areas to reduce the flood damages.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.205-214
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• 2011

In this paper, we propose a mobile navigation application that allows a user to send location data to another user using the iPhone's GPS function and Mapkit framework. The GPS function of the iPhone detects the location of the first user and the Mapkit framework shows the first user location on Google Maps. If the second user requires guidance to a destination, the first user touches the record button on the proposed application to record his or her position. The first user can check his or her recorded location from the pin position on Google Maps, and he or she can then send the relevant information to the second user who wants to visit that location. The second user receives the location data and is guided to the destination easily by following the next position icon on the iPhone camera overlay or by following the pin position on Google Maps. Therefore, even if a user is traveling somewhere for the first time, the proposed application guides that user to his or her destination by receiving recorded location data from another user.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.570-576
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• 2020

This study uses beacons and smartphone Global Positioning System (GPS) receivers to establish a location-based disaster/hazard prediction system. Beacons are usually installed indoors to locate users using triangulation in the room, but this study is differentiated from previous studies because the system is used outdoors to collect information on registration location and temperature and humidity in hazardous areas. In addition, since it is installed outdoors, waterproof, dehumidifying, and dustproof functions in the beacons themselves are required, and in case of heat and humidity, the sensor must be exposed to the outside, so the waterproof function is supplemented with a separate container. Based on these functions, information on declining and vulnerable areas is identified in real time, and temperature/humidity information is collected. We also propose a system that provides weather and fine-dust information for the area concerned. User location data are acquired through beacons and smartphone GPS receivers, and when users transmit from declining or vulnerable areas, they can establish the data to identify dangerous areas. In addition, temperature/humidity data in a microspace can be collected and utilized to build data to cope with climate change. Data can be used to identify specific areas of decline in a microspace, and various analyses can be made through the accumulated data.