• Title/Summary/Keyword: 구글맵

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Design and Implementation of Spatial Guide System Using Google Maps API (구글맵 API를 이용한 공간적 방향안내 시스템의 설계 및 구현)

  • Kim, Taehyeok;Moon, Hyoenjun;Moon, Mikyeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.1264-1266
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    • 2017
  • 현재 사람들이 원하는 목적지를 가기 위해 스마트 폰의 여러 지도 애플리케이션들이나 이정표를 이용한다. 그러나 2차원으로 나타나는 스마트폰의 지도 애플리케이션들로 3차원인 현실의 방향을 파악하기란 쉽지 않고, 이정표 또한 안내 가능한 방향, 게시되는 언어의 수가 제한되는 등의 문제가 있다. 본 논문에서는 이러한 문제를 보완할 수 있는 구글 맵 API를 이용하여 공간적으로 방향을 안내 해주는 시스템의 설계 및 개발 내용에 대해 기술한다. 이 시스템은 구글맵 API의 검색 기능을 통해 얻은 목적지를 안내판이 회전하여 이용자에게 방향과 거리를 안내함으로써, 3차원인 현실에서의 공간적 방향을 파악하는데 도움을 준다. 또한 기존의 이정표와 달리 새로운 장소에 대해 소프트웨어적인 업데이트만 실시하면 되므로 유지비용을 줄이는 효과를 기대 할 수 있다.

Smart phone based Location Information System Development (스마트폰 기반의 위치 정보 공유 시스템 개발)

  • Cho, Kyu Cheol;Kim, Min Ji
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.221-222
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    • 2016
  • 본 논문에서는 모델2(MVC) 패턴을 기반으로 구글맵을 이용하여, 자신의 위치와 자신과 상대방의 위치가 활성화가 되어있을 때 상대방의 위치까지 확인이 가능한 System으로써, 사용자의 편리성을 위하여 안드로이드 4.2이상 버전의 스마트 폰 Application으로 개발하였다. Client에서는 J-Query Mobile, cordova를 사용하였고 Ajax, json 방식으로 서버에게 사용자 정보와 위치정보를 전송 하였다. 본 시스템을 통해 보호자들은 위치정보를 활용하여 안전하게 피보호자를 관리할 수 있을 것으로 기대하고 있다.

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Real-time Web Location System for the elderly active surveillance based on Google Map 3D (노약자 활동 감시를 위한 구글 맵 3D 기반의 실시간 웹 위치 추적 시스템)

  • Lee, Young-Min;choi, Okkyung;Kim, Gi-hyung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.120-122
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    • 2011
  • 과학 기술과 의학 기술의 발달로 전 세계적인 고령화 인구 비율도 해마다 증가하고 있다. 본 연구에서는 이러한 고령화 인구 증가 현상에 대한 대책 방안의 하나로 U-HealthCare 시스템에 구글맵(Google Map) 3D 기반의 실시간 위치 추적기법을 적용 시켜 노약자들이 이동하는 중간에 실시간 위치 추적을 실시하여 추후 발생 할 수 있는 위험 사태에 대비하고자 한다. 제안 방식은 구글 맵 3D 서비스 방식이기에 2D 서비스나 문자 서비스 방식보다 시각적으로 건물의 생김새나 주변의 건물에 대한 정확한 파악이 가능하여 노약자들의 위치 정보에 대한 신속한 대체가 가능하다.

The Development of information sharing Application of Android based on the Google Map (구글맵 기반 안드로이드 정보 공유 애플리케이션 개발)

  • Kim, Byeong-Su;Kim, Jong-Hoon
    • 한국정보교육학회:학술대회논문집
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    • 2011.01a
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    • pp.153-158
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    • 2011
  • The idea that the mobile phone could be used in the education field recently comes from it's strengths. They have mobility, on-the-spot-study, portablity, immediacy and they are easy to connect to educational information. The application which I developed in this study is using Google-Map API and is based on GPS. It can share the information about the area where user is located like text data and pictures of geography, culture, and historical remains. This application makes the best use of the mobile phone's strengths. It's more effective and we can expect that users could manage resources of learning and do self-directed study in spite of being outside of the classroom or after regular classtime.

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Perception and Appraisal of Urban Park Users Using Text Mining of Google Maps Review - Cases of Seoul Forest, Boramae Park, Olympic Park - (구글맵리뷰 텍스트마이닝을 활용한 공원 이용자의 인식 및 평가 - 서울숲, 보라매공원, 올림픽공원을 대상으로 -)

  • Lee, Ju-Kyung;Son, Yong-Hoon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.4
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    • pp.15-29
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    • 2021
  • The study aims to grasp the perception and appraisal of urban park users through text analysis. This study used Google review data provided by Google Maps. Google Maps Review is an online review platform that provides information evaluating locations through social media and provides an understanding of locations from the perspective of general reviewers and regional guides who are registered as members of Google Maps. The study determined if the Google Maps Reviews were useful for extracting meaningful information about the user perceptions and appraisals for parks management plans. The study chose three urban parks in Seoul, South Korea; Seoul Forest, Boramae Park, and Olympic Park. Review data for each of these three parks were collected via web crawling using Python. Through text analysis, the keywords and network structure characteristics for each park were analyzed. The text was analyzed, as were park ratings, and the analysis compared the reviews of residents and foreign tourists. The common keywords found in the review comments for the three parks were "walking", "bicycle", "rest" and "picnic" for activities, "family", "child" and "dogs" for accompanying types, and "playground" and "walking trail" for park facilities. Looking at the characteristics of each park, Seoul Forest shows many outdoor activities based on nature, while the lack of parking spaces and congestion on weekends negatively impacted users. Boramae Park has the appearance of a city park, with various facilities providing numerous activities, but reviewers often cited the park's complexity and the negative aspects in terms of dog walking groups. At Olympic Park, large-scale complex facilities and cultural events were frequently mentioned, emphasizing its entertainment functions. Google Maps Review can function as useful data to identify parks' overall users' experiences and general feelings. Compared to data from other social media sites, Google Maps Review's data provides ratings and understanding factors, including user satisfaction and dissatisfaction.

Development on Public Participation GIS 2.0 Application Based on Google Map for Android Smart-phones (구글맵기반 사용자 참여형 안드로이드폰 GIS 2.0 응용프로그램 개발)

  • Kim, Byeong-Su;Kim, Jong-Hoon
    • The Journal of Korean Association of Computer Education
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    • v.14 no.4
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    • pp.11-20
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    • 2011
  • Recently, the interests of mobile GIS(Geographic Information System) technology is increasing with the spread of wireless network, the improvement of mobile device's performances and the growth of demands about mobile services. If we refer mobile GIS system classified as 3rd generation with the success of Web 2.0, it is suggested that supplies of information from the server side couldn't enhance users' participations and the usage of service. In this study, we suggested the model of GIS 2.0 application based on Google map for Android smart-phones, which users could make, save and share information using photos and text by themselves. We were able to grasp the expectation of GIS 2.0 by expert assessment of this application and got to the core of conditions and implications for the success of GIS 2.0.

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Design of Deep Learning-Based Automatic Drone Landing Technique Using Google Maps API (구글 맵 API를 이용한 딥러닝 기반의 드론 자동 착륙 기법 설계)

  • Lee, Ji-Eun;Mun, Hyung-Jin
    • Journal of Industrial Convergence
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    • v.18 no.1
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    • pp.79-85
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    • 2020
  • Recently, the RPAS(Remote Piloted Aircraft System), by remote control and autonomous navigation, has been increasing in interest and utilization in various industries and public organizations along with delivery drones, fire drones, ambulances, agricultural drones, and others. The problems of the stability of unmanned drones, which can be self-controlled, are also the biggest challenge to be solved along the development of the drone industry. drones should be able to fly in the specified path the autonomous flight control system sets, and perform automatically an accurate landing at the destination. This study proposes a technique to check arrival by landing point images and control landing at the correct point, compensating for errors in location data of the drone sensors and GPS. Receiving from the Google Map API and learning from the destination video, taking images of the landing point with a drone equipped with a NAVIO2 and Raspberry Pi, camera, sending them to the server, adjusting the location of the drone in line with threshold, Drones can automatically land at the landing point.

Analysis system and radio measurements in picocell environment using an AP beacon signal (AP 비콘신호를 이용한 피코셀 환경에서의 전파측정 및 분석시스템)

  • Rho, Jungkyu;Kim, Younggi;Lee, Jinsoo;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • v.9 no.3
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    • pp.70-73
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    • 2014
  • In this paper, we measure and analyze strength of Beacon signal in Picocell environment by using the frequency of WiFi of ISM band. It is displaying the value what measured by using a beacon signal measurement smartphone app in using AP area, on Google maps using the PC application. the data measured by using mapped GPS signal and RSSI of beacon signal, and convert this data to Position coordinates for Google map in PC. when use this system, we can understand and analyze changes of radio signal through location where installed AP.

Implementation of Map Service based on Splitting Method of GeoRSS (GeoRSS 분할기법 기반의 지도 서비스 구현)

  • Lee, Bum-Suk;Hwang, Byung-Yeon
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.7
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    • pp.728-732
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    • 2008
  • GeoRSS is RSS which contains geospatial information, and it supports to supply diverse kinds of data through mash-up map service like the google map. It helps to implement efficient web service with simple java-scripts, but sometimes initial page loading takes too much time and causes heavy traffic when it includes lots of multimedia data. In this paper, we propose a splitting method of GeoRSS for fast accessing. As the result of experiments, we achieved improvement of browsing speed and reducing of initial data traffic.