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Development of a Web-based Geovisualization System using Google Earth and Spatial DBMS (구글어스와 공간데이터베이스를 이용한 웹기반 지리정보 표출시스템 개발)

  • Im, Woo-Hyuk;Lee, Yang-Won;Suh, Yong-Cheol
    • Spatial Information Research
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    • v.18 no.4
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    • pp.141-149
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    • 2010
  • One of recent trends in Web-based GIS is the system development using FOSS (Free and Open Source Software). Open Source software is independent from the technologies of commercial software and can increase the reusability and extensibility of existing systems. In this study, we developed a Web-based GIS for interactive visualization of geographic information using Google Earth and spatial DBMS(database management system). Google Earth Plug-in and Google Earth API(application programming interface) were used to embed a geo-browser in the Web browser. In order to integrate the Google Earth with a spatial DBMS, we implemented a KML(Keyhole Markup Language) generator for transmitting server-side data according to user's query and converting the data to a variety of KML for geovisualization on the Web. Our prototype system was tested using time-series of LAI(leaf area index), forest map, and crop yield statistics. The demonstration included the geovisualization of raster and vector data in the form of an animated map and a 3-D choropleth map. We anticipate our KML generator and system framework will be extended to a more comprehensive geospatial analysis system on the Web.

Utilization of Google Earth for Distribution Mapping of Cholangiocarcinoma: a Case Study in Satuek District, Buriram, Thailand

  • Rattanasing, Wannaporn;Kaewpitoon, Soraya J;Loyd, Ryan A;Rujirakul, Ratana;Yodkaw, Eakachai;Kaewpitoon, Natthawut
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.14
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    • pp.5903-5906
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    • 2015
  • Background: Cholangiocarcinoma (CCA) is a serious public health problem in the Northeast of Thailand. CCA is considered to be an incurable and rapidly lethal disease. Knowledge of the distribution of CCA patients is necessary for management strategies. Objectives: This study aimed to utilize the Geographic Information System and Google $Earth^{TM}$ for distribution mapping of cholangiocarcinoma in Satuek District, Buriram, Thailand, during a 5-year period (2008-2012). Materials and Methods: In this retrospective study data were collected and reviewed from the OPD cards, definitive cases of CCA were patients who were treated in Satuek hospital and were diagnosed with CCA or ICD-10 code C22.1. CCA cases were used to analyze and calculate with ArcGIS 9.2, all of data were imported into Google Earth using the online web page www.earthpoint.us. Data were displayed at village points. Results: A total of 53 cases were diagnosed and identified as CCA. The incidence was 53.57 per 100,000 population (65.5 for males and 30.8 for females) and the majority of CCA cases were in stages IV and IIA. The average age was 67 years old. The highest attack rate was observed in Thung Wang sub-district (161.4 per 100,000 population). The map display at village points for CCA patients based on Google Earth gave a clear visual deistribution. Conclusions: CCA is still a major problem in Satuek district, Buriram province of Thailand. The Google Earth production process is very simple and easy to learn. It is suitable for the use in further development of CCA management strategies.

A Study on Surveying Techniques of Rural Amenity Resources Using Internet High-resolution Image Services - mainly on Google Earth - (인터넷 고해상도 영상서비스를 이용한 농촌어메니티 자원조사 기술에 관한 연구 - Google Earth를 중심으로 -)

  • Jang, Min-Won;Chung, Hoi-Hoon;Lee, Sang-Hyun;Choi, Jin-Yong
    • Journal of Korean Society of Rural Planning
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    • v.15 no.4
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    • pp.199-211
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    • 2009
  • The aim of this paper is to investigate the applicability of high spatial resolution remote sensing images for conducting the rural amenity resources survey. There are a large number of rural amenity resources and field reconnaissance without a sufficient preliminary survey involves a big amount of cost and time even if the data quality cannot always be satisfied with the advanced study. Therefore, a new approach should be considered like the state-of-the-art remote sensing technology to support field survey of rural amenity resources as well as to identify the spatial attributes including the geographical location, pathway, area, and shape. Generally high-resolution satellite or aerial photo images are too expensive to cover a large area and not free of meteorological conditions, but recently rapidly-advanced internet-based image services, such as Google Earth, Microsoft Bing maps, Bluebirds, Daum maps, and so on, are expected to overcome the handicaps. The review of the different services shows that Google Earth would be the most feasible alternative for the survey of rural amenity resources in that it provides powerful tools to build spatial features and the attributes and the data format is completely compatible with other GIS(Geographic information system) software. Hence, this study tried to apply the Google Earth service to interpret the amenity resources and proposed the reformed work process conjugating the internet-based high-resolution images like satellite and aerial photo data.

The Comparative Research On 2D Web Mapping Open API for Designing Geo-Spatial Open Platform (공간정보 오픈플랫폼 설계를 위한 2D Web Mapping Open API 비교 연구)

  • Choi, Won Geun;Kim, Min Soo;Jang, In Sung;Chang, Yoon-Seop
    • Spatial Information Research
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    • v.22 no.5
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    • pp.87-98
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    • 2014
  • Google Maps have changed the response time of Web-GIS using AJAX technologies. In addition, Google released the Open API named Google Maps API(Application Programming Interface) and it lead to the big paradigm on the Open API, where the SDK(Software Development Kit) and ASP(Application Service Provider) had ruled at the related map market. In short, the Open API has been paradigm-shifting for the web mapping. After this, government, many companies and open source foundations have guided Web-GIS market's growth through releasing the relevant Open APIs. So many comparative analysis on web-mapping API carried out by many researches. However there were no researches that can be applied to our current domestic environments. This paper investigates components of web-mapping API. Then we compare how many components supported and enumerate features for each of those APIs. Finally this paper presents direction of future development of Web Mapping API.

Design of User Integrated Authentication System in Heterogeneous Distributed Cloud Service Brokerage Environment (이종 분산 클라우드 서비스 브로커리지 환경에서의 사용자 통합 인증 시스템 설계)

  • Lee, Daesung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.11
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    • pp.2061-2066
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    • 2016
  • Currently, cloud systems are not interoperable due to low interoperability between cloud systems as operators build up cloud environments with their own way. For example, users of the Google cloud system can not use the Microsoft (Microsoft) cloud system unless they go through an additional log-in process. In order for Google cloud system's users to use MS cloud system services, they must log in to the MS cloud system again after logging out of Google cloud system. In order to solve these problems, Cloud Service Broker(CSB) technology has emerged to resolve the interoperability problem between cloud systems, but many researches and developments are still needed. In this paper, we design an integrated user authentication system, which is a fundamental problem of cloud user interoperability among CSB (Cloud Service Broker) technologies, which is emerging as a service intervention technology of heterogeneous distributed cloud environment.

Analysis of Public and Researcher Interests in Suicide and Related Illnesses, and Acupuncture and Acupressure: Utilizing Google Trends and Major Electronic Database (자살 및 관련 질환과 침치료 및 혈위지압에 대한 대중과 연구자의 관심도 분석: Google Trends와 주요 전자 데이터베이스를 이용하여)

  • Sung-Hyun Kang;Jung-Gyung Lee;Chan-Young Kwon
    • Journal of Oriental Neuropsychiatry
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    • v.34 no.3
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    • pp.235-245
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    • 2023
  • Objectives: The aim of this study was to analyze public and researcher interests in suicide and related illnesses and acupuncture and acupressure treatment using Google Trends and some electronic databases. Methods: Search results for keywords "suicide," "acupuncture," "acupressure," and several illnesses related to suicide were analyzed in Google Trends from January 2004 to June 2023. Illnesses included anxiety, depression (including major depressive disorder), schizophrenia, bipolar disorder, post- traumatic stress disorder (PTSD), eating disorder (including anorexia nervosa and bulimia nervosa), substance use disorder, autism spectrum disorder, personality disorder (including borderline person- ality disorder), and chronic pain. Search results were extracted using relative search volume (RSV) scores between 0 and 100. Search terms were also searched in online databases, including PubMed, CNKI, and OASIS, to estimate the number of related studies, and descriptive analysis was conducted. Results: Google Trends analysis showed a strong positive correlation between the RSVs of "suicide and depression," "acupuncture and chronic pain," and "acupressure and PTSD." The electronic database search results produced numerous studies published on "suicide and depression," "acupuncture and depression," and "acupressure and anxiety." High interest in "suicide and depression," "acupuncture and chronic pain," and "acupressure and anxiety" was seen among the public and researchers. Interest in "suicide and chronic pain," "acupuncture and eating disorder," and "acupressure and PTSD" was higher in the public than among researchers, while "anxiety and suicide" and "anxiety and acu- puncture" showed opposite trends. Conclusions: The results of this research enable an understanding of public and researcher interest in suicide, acupuncture, acupressure, and suicide-related illnesses. The results also provide a basis for fu- ture research and examining public health implications in Korean medicine.

Some Legal Arguments on the Google Book Search and Library Information Digitization (구글 북서치와 도서관 자료 디지털화의 법률문제)

  • Kim, Yun-Myung
    • Journal of Information Management
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    • v.41 no.2
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    • pp.133-159
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    • 2010
  • Books in libraries can be highly refined information. Google invests digitization of books in libraries. But the digitization of books that has a variety of interests, coupled with several problems, including class action, in addition the many critical discussions are underway. Korea pushed the national digitization projects, what are libraries' digitizing their collection of many books. Of course, in publishing and digitization of the target is limited to books published ahead of Google. However, the Library Act was amended for the reposition of online materials, but only in the ways that Google's case is different. Library Act permits collection of online resources through the library to allow, the legislation can be considered as leading act. However, online data is publicly not available through the Internet, so this service hae limited means and range unlike Google. This paper, the digitization of books in the library due to copyright, examines the legal issues looking for the desirable solution. Physical library's main role had been kept the book, but we use the book in terms of policies needed to consider. To overcome these limitations of Copyright Act, this paper researches the relation of Google Book Search in our Copyright Act, and considers introduction as the fair use doctrine and the digital repository system.

Implement of Job Reinforcement System based on Google Cloud for Efficient Job Preparations and Self Ability Improvement (효율적인 취업 준비와 자기 능력 향상을 위한 구글 클라우드 기반의 취업 강화 시스템 구현)

  • Kang, Joo-hee;Yang, Byeong-ryeol;Jung, Se-hoon;Kim, Jong-chan;Park, Hong-joon;So, Won-ho;Sim, Chun-bo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.756-759
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    • 2015
  • As the struggle to get a job becomes increasingly ferocious year after year, the website offering a range of employment information have continued to gain popularity. Those website, however, are not of much help when it comes to an interview to face the interviewer. Furthermore, many people suffer depression due to the heavy stress they are under while making preparations for employment or working for an organization. The current employment website do not have a team of professionals to deal with such issues. In an effort to solve those problems, the present study made arrangements to allow users to put in an enormous amount of employment information based on Google App Engine(GAE) and Google Web Toolkit(GWT) and upload interview videos. In addition, a Q&A board was created to help those who prepare for employment or current workers relieve their stress and provide them with access to a team of counseling professionals.

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GIS Database and Google Map of the Population at Risk of Cholangiocarcinoma in Mueang Yang District, Nakhon Ratchasima Province of Thailand

  • Kaewpitoon, Soraya J;Rujirakul, Ratana;Joosiri, Apinya;Jantakate, Sirinun;Sangkudloa, Amnat;Kaewthani, Sarochinee;Chimplee, Kanokporn;Khemplila, Kritsakorn;Kaewpitoon, Natthawut
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.3
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    • pp.1293-1297
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    • 2016
  • Cholangiocarcinoma (CCA) is a serious problem in Thailand, particularly in the northeastern and northern regions. Database of population at risk are need required for monitoring, surveillance, home health care, and home visit. Therefore, this study aimed to develop a geographic information system (GIS) database and Google map of the population at risk of CCA in Mueang Yang district, Nakhon Ratchasima province, northeastern Thailand during June to October 2015. Populations at risk were screened using the Korat CCA verbal screening test (KCVST). Software included Microsoft Excel, ArcGIS, and Google Maps. The secondary data included the point of villages, sub-district boundaries, district boundaries, point of hospital in Mueang Yang district, used for created the spatial databese. The populations at risk for CCA and opisthorchiasis were used to create an arttribute database. Data were tranfered to WGS84 UTM ZONE 48. After the conversion, all of the data were imported into Google Earth using online web pages www.earthpoint.us. Some 222 from a 4,800 population at risk for CCA constituted a high risk group. Geo-visual display available at following www.google.com/maps/d/u/0/edit?mid=zPxtcHv_iDLo.kvPpxl5mAs90&hl=th. Geo-visual display 5 layers including: layer 1, village location and number of the population at risk for CCA; layer 2, sub-district health promotion hospital in Mueang Yang district and number of opisthorchiasis; layer 3, sub-district district and the number of population at risk for CCA; layer 4, district hospital and the number of population at risk for CCA and number of opisthorchiasis; and layer 5, district and the number of population at risk for CCA and number of opisthorchiasis. This GIS database and Google map production process is suitable for further monitoring, surveillance, and home health care for CCA sufferers.

A Study on Analysis of R&D Intensity based on Patent Citation Information: Case Study on Self-driving Car of Google (특허인용정보 기반의 연구집중도 분석에 관한 연구: 구글의 자율주행자동차 기술 중심으로)

  • Lee, Junseok;Kim, Jongchan;Lee, Joonhyuck;Park, Sangsung;Jang, Dongsik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.4
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    • pp.327-333
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    • 2016
  • An autonomous vehicle is a convergence of artificial intelligence and a vehicle which can drive itself while analyzing the real-time situation on a road without a driver. A lot of research achievements have been revealed through the media and Google is considered to be the best leading company in this field. The use of patent information which contains various information such as bibliographic data and information about technologies is a good way to find out the R&D direction of a company and develop a reasonable strategy. This study is aimed at investigating the direction to which Google focuses its R&D capabilities and establishing strategies for technology development. Google's patents about autonomous vehicles were collected and the degree of research bias was analyzed using Social Network Analysis based on citations indicating the quality of a patent. Based on the results, the strategies for technology development was eventually proposed. As a result, it was revealed that Google focused its R&D capabilities on the part of hardware control to make up for its lack of hardware-oriented technologies. As of now, Google obtained remarkable achievements, so it seems reasonable that last-movers consider cooperative research with Google.