• Title/Summary/Keyword: Location-based Search

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Spatiotemporal Pattern Mining Technique for Location-Based Service System

  • Vu, Nhan Thi Hong;Lee, Jun-Wook;Ryu, Keun-Ho
    • ETRI Journal
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    • v.30 no.3
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    • pp.421-431
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    • 2008
  • In this paper, we offer a new technique to discover frequent spatiotemporal patterns from a moving object database. Though the search space for spatiotemporal knowledge is extremely challenging, imposing spatial and timing constraints on moving sequences makes the computation feasible. The proposed technique includes two algorithms, AllMOP and MaxMOP, to find all frequent patterns and maximal patterns, respectively. In addition, to support the service provider in sending information to a user in a push-driven manner, we propose a rule-based location prediction technique to predict the future location of the user. The idea is to employ the algorithm AllMOP to discover the frequent movement patterns in the user's historical movements, from which frequent movement rules are generated. These rules are then used to estimate the future location of the user. The performance is assessed with respect to precision and recall. The proposed techniques could be quite efficiently applied in a location-based service (LBS) system in which diverse types of data are integrated to support a variety of LBSs.

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Implementation of Responsive Web Application for Location-based Semantic Search (위치기반 시맨틱 검색을 위한 반응형 웹 애플리케이션 구현)

  • Lee, Suhyoung;Lee, Yongju
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.5
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    • pp.1-12
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    • 2019
  • Unlike existing Open APIs, Linked Data are made as a huge intelligent base to perform high-level SPARQL queries, and it is possible to create efficiently a new content by mashuping different information from various datasets. This paper implements a responsive web application for location-based semantic search. We mashup DBpedia, a kind of Linked Data, and GoogleMap API provided by Google, and provide a semantic browser function to confirm detail information regarding retrieved objects. Our system can be used in various access environments such as PC and mobile by applying responsive web design idea. The system implemented in this paper compares functional specifications with existing systems with similar functions. The comparison results show the superiority of our system in various aspects such as using semantic, linked-based browser, and mashup function.

Development of WIPI-based Artificial Reefs Search Contents (WIPI기반 인공어초 검색 콘텐츠 개발)

  • Kwak Ho-Young;Han Kyoung-Bok
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.238-247
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    • 2005
  • The development of IT related technology has made it possible to offer 'Any Time, Any Where, Any Service' to the users and internet-based service became accessible while on the move through wireless internet service. Moreover, the development of various wireless contents has been provided diverse ioy and convenience to life. However, the existing wireless contents had been subordinate to the wireless internet platform because it had not been set up for a standardized environment. Therefore, repeated developments of contents have been causing waste of resource, time and manpower. This paper aims at suggesting WIPI-bases artificial reefs search contents which have become independent from platform by using JAVA. Artificial reefs facilities are a government project for increasing the revenue of fishermen but only few fishermen know the information about the location of artificial reefs and most of them are not aware of the location of these facilities. There(ore this thesis plans to develop WIPI-bases artificial reefs search contents to provide information such as the location, the depth, and the bottom material to anglers and those fishermen who do not know the location of artificial reefs so that the fishermen can have the opportunity to increase their revenue and also the opportunity to catch a big fish for anglers.

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Nowcast of TV Market using Google Trend Data

  • Youn, Seongwook;Cho, Hyun-chong
    • Journal of Electrical Engineering and Technology
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    • v.11 no.1
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    • pp.227-233
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    • 2016
  • Google Trends provides weekly information on keyword search frequency on the Google search engine. Search volume patterns for the search keyword can also be analyzed based on category and by the location of those making the search. Also, Google provides “Hot searches” and “Top charts” including top and rising searches that include the search keyword. All this information is kept up to date, and allows trend comparisons by providing past weekly figures. In this study, we present a predictive model for TV markets using the searched data in Google search engine (Google Trend data). Using a predictive model for the market and analysis of the Google Trend data, we obtained an efficient and meaningful result for the TV market, and also determined highly ranked countries and cities. This method can provide very useful information for TV manufacturers and others.

Regional Culture Contents Service Modeling Based On Localized Advertising of Question And Answer Format (위치문답형 지역광고 기반의 문화정보 서비스 모델링)

  • Shin, Hwan-Seob;Lee, Jae-Won
    • The Journal of the Korea Contents Association
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    • v.19 no.8
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    • pp.465-472
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    • 2019
  • Although there are various cultural events and cultural contents produced in the region, there is a lack of distribution and spread of regional information to expand related economic consumption. This study combined local advertising by local advertisers with the knowledge search method in question and answer format from a location-based service perspective for the purpose of spreading and using local cultural information. The approach looked at domestic and international cases of knowledge search based on region and location-based advertising research, presented community model of location inquiry based information service and revenue model of local advertisement. Through this, this study designed a question and answer based community and operational structure model of local advertising, and developed an information service system in the form of prototyping. By extending the distribution of question and answer data among users to location information, it is meaningful that a business service model was presented that combines local cultural content information and the demand for user access with the revenue model of local advertising.

Design and Evaluation of a Fuzzy Logic-based Selective Paging Method for Wireless Mobile Networks (무선 이동망을 위한 퍼지 논리 기반 선택적 페이징 방법의 설계 및 평가)

  • 배인한
    • Journal of KIISE:Information Networking
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    • v.31 no.3
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    • pp.289-297
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    • 2004
  • State-of-the-art wireless communication networks allow dynamic relocation of mobile terminals. A location management mechanism is required to keep track of a mobile terminal for delivering incoming calls. In this paper, we propose a fuzzy logic-based selective paging method to reduce paging cost. In the proposed fuzzy logic-based location management method, the location update uses the area-based method that uses direction-based together with movement-based methods, and the location search uses the fuzzy logic-based selective paging method based on the mobility information of mobile terminals. A partial candidate paging area is selected by fuzzy control rules, then the fuzzy logic-based selective paging method pages only the cells within the partial candidate paging area. The performance of proposed fuzzy logic-based location management method is to be evaluated by both an analytical model and a simulation, and is compared with those of LA and BVP methods. From these evaluation results, we know that the proposed fuzzy logic-based location management method provide better performance than other location management methods.

A Group Update Technique based on a Buffer Node to Store a Vehicle Location Information (차량 위치 정보 저장을 위한 버퍼 노드 기반 그룹 갱신 기법)

  • Jung, Young-Jin;Ryu, Keun-Ho
    • Journal of KIISE:Databases
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    • v.33 no.1
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    • pp.1-11
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    • 2006
  • It is possible to track the moving vehicle as well as to develop the location based services actively according to the progress of wireless telecommunication and GPS, to the spread of network, and to the miniaturization of cellular phone. To provide these location based services, it is necessary for an index technique to store and search too much moving object data rapidly. However the existing indices require a lot of costs to insert the data because they store every position data into the index directly. To solve this problem in this paper, we propose a buffer node operation and design a GU-tree(Group Update tree). The proposed buffer node method reduces the input cost effectively since the operation stores the moving object location data in a group, the buffer node as the unit of a non-leaf node. hnd then we confirm the effect of the buffer node operation which reduces the insert cost and increase the search performance in a time slice query from the experiment to compare the operation with some existing indices. The proposed tufter node operation would be useful in the environment to update locations frequently such as a transportation vehicle management and a tour-guide system.

Delay Tolerant Packet Forwarding Algorithm Based on Location Estimation for Micro Aerial Vehicle Networks

  • Li, Shiji;Hu, Guyu;Ding, Youwei;Zhou, Yun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.1377-1399
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    • 2020
  • In search and rescue mission, micro aerial vehicles (MAVs) are typically used to capture image and video from an aerial perspective and transfer the data to the ground station. Because of the power limitation, a cluster of MAVs are required for a large search area, hence an ad-hoc wireless network must be maintained to transfer data more conveniently and fast. However, the unstable link and the intermittent connectivity between the MAVs caused by MAVs' movement may challenge the packet forwarding. This paper proposes a delay tolerant packet forwarding algorithm based on location estimation for MAV networks, called DTNest algorithm. In the algorithm, ferrying MAVs are used to transmit data between MAVs and the ground station, and the locations of both searching MAVs and ferrying MAVs are estimated to compute the distances between the MAVs and destination. The MAV that is closest to the destination is selected greedy to forward packet. If a MAV cannot find the next hop MAV using the greedy strategy, the packets will be stored and re-forwarded once again in the next time slot. The experiment results show that the proposed DTNest algorithm outperforms the typical DTNgeo algorithm in terms of packet delivery ratio and average routing hops.

Improvement of Detailed Fault Point Decision Using EMTP Analysis of Search Coil Method for HVDC Cables (Search Coil법의 EMTP 분석을 통한 HVDC 케이블 상세 고장지점 판정 정확도 개선)

  • Jung, Chae-Kyun;Park, Jin-Woo;Yang, Byeong-Mo;Kang, Ji-Won;Lee, Jong-Beom
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.9
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    • pp.1656-1662
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    • 2011
  • In a previous paper, the EMTP modeling technique using search coil test is established through various transient analysis including system grounding condition and grounding resistance for HVDC submarine cables. It was also proved by comparison with real test results. Based on this EMTP modeling technique, in this paper, it will be applied for modeling of ${\pm}180kV$ real HVDC submarine system(Jeju~Haenam). This paper variously analyses the effects of fault resistance including the resistance between core and sheath, the resistance between sheath and amore and the resistance between amore and sea water through EMTP modeling of search coil method. The results can contribute to the accuracy of detailed fault point prediction of search coil test for HVDC submarine cables.

Big data-based Local Store Information Providing Service (빅데이터에 기반한 지역 상점 관련 정보제공 서비스)

  • Mun, Chang-Bae;Park, Hyun-Seok
    • The Journal of the Korea Contents Association
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    • v.20 no.2
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    • pp.561-571
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    • 2020
  • Location information service using big data is continuously developing. In terms of navigation, the range of services from map API service to ship navigation information has been expanded, and system application information has been extended to SNS and blog search records for each location. Recently, it is being used as a new industry such as location-based search and advertisement, driverless cars, Internet of Things (IoT) and online to offline (O2O) services. In this study, we propose an information system that enables users to receive information about nearby stores more effectively by using big data when a user moves a specific route. In addition, we have designed this system so that local stores can use this system to effectively promote it at low cost. In particular, we analyzed web-based information in real time to improve the accuracy of information provided to users by complementing the data. Through this system, system users will be able to utilize the information more effectively. Also, from a system perspective, it can be used to create new services by integrating with various web services.