• Title/Summary/Keyword: Customized beacon

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Design of Tour Guide System using Bluetooth 4.0 and WiFi Sensor Technology (블루투스4.0과 WiFi 센서 기술을 이용한 관광안내 시스템 설계)

  • Kim, Hee-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.10
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    • pp.6888-6894
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    • 2015
  • Bluetooth 4.0 is the most appropriate technology for Internet of Things, which can be used to enhance and expand the existing areas and areas with a variety of applications. In this paper, an example of the services of the Internet of Things, we developed a tour guide system using the Bluetooth 4.0 and WiFi sensor technology. iBeacon-based push service have been limited to iOS smart phone series, non-iOS family and lower version of iOS 6 smart phones can not receive push-based services. This paper proposed in iBeacon and WiFi sensor is more than tourists, while maintaining the existing system (non-iOS smartphone users) can provide the service to you. Service tourist information as well as that can provide the advertising associated with the service. With 10 kinds of smart phones used in Korea was the experiment on the MAC information collected. This experiment is to track the behaviour of tourists in history can provide customized services can be based. Tourist destinations as well as amusement parks, resorts, etc. If you want to apply this system in a crowded place for user behavior information-gathering feature views over the a prevention of a missing child features such as notifications, risk, prevention is possible for a variety of applications.

Developments of Local Festival Mobile Application and Data Analysis System Applying Beacon (비콘을 활용한 위치기반 지역축제 모바일 애플리케이션과 데이터 분석 시스템 개발)

  • Kim, Song I;Kim, Won Pyo;Jeong, Chul
    • Korea Science and Art Forum
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    • v.31
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    • pp.21-32
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    • 2017
  • Local festivals form the regional cultures and atmosphere of communication; they increase the demand of domestic tourism businesses and thus, have an important role in ripple effects (e.g. regional image improvement, tourist influx, job creation, regional contents development, and local product sales) and economic revitalization. IoT (Internet of Thing) technologies have been developed especially, beacon-one of the IoT services has been applied as plenty of types and forms both domestically and internationally. However, notwithstanding expansion of current digital mobile technologies, it still remains as difficult for the individual to track the information about all the local festivals and to fulfill the tourists' needs of enjoying festivals given the weak strategic approaches and advertisement activities. Furthermore, current festival-related mobile applications don't function well as delivering information and have numerous contents issues (e.g. ways of information delivery within the festival places, independent application usage for each festival, one time usage due to one time event). This research, based on the background mentioned above, aims to develop the local festival mobile application and data analysis system applying beacon technology. First of all, three algorithms were developed, namely, 'festival crowding algorithm', 'visitor stats algorithm', and 'customized information algorithm', and then beta test was followed with the developed application and data analysis system. As a result, they could form the database of visitors' types and behaviors, and provide functions and services, such as personalized information, waiting time for festival contents, and 'hot place' function. Besides, in Google Play store, they also got the titles given with more than 13,000 downloads within first three months and as the most exposed application related with festivals; and, thus, got credited with their marketability and excellence. This research follows this order: chapter 2 shows the literature review of local festival related with technology development, beacon service, and festival application. In Chapter 3, design plans and conditions are described of developing local festival mobile application and data analysis system with beacon. Chapter 4 evaluates the results of the beta performance test to verify applicability of the developed application and data analysis system, and lastly, chapter 5 explains the conclusion and suggests the future research.

A Study on Customized Brand Recommendation based on Customer Behavior for Off-line Shopping Malls (오프라인 쇼핑몰에서 고객 행위에 기반을 둔 맞춤형 브랜드 추천에 관한 연구)

  • Kim, Namki;Jeong, Seok Bong
    • Journal of Information Technology Applications and Management
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    • v.23 no.4
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    • pp.55-70
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    • 2016
  • Recently, development of indoor positioning system and IoT such as beacon makes it possible to collect and analyze each customer's shopping behavior in off-line shopping malls. In this study, we propose a realtime brand recommendation scheme based on each customer's brand visiting history for off-line shopping mall with indoor positioning system. The proposed scheme, which apply collaborative filtering to off-line shopping mall, is composed of training and apply process. The training process is designed to make the base brand network (BBN) using historical transaction data. Then, the scheme yields recommended brands for shopping customers based on their behaviors and BBN in the apply process. In order to verify the performance of the proposed scheme, simulation was conducted using purchase history data from a department store in Korea. Then, the results was compared to the previous scheme. Experimental results showd that the proposed scheme performs brand recommendation effectively in off-line shopping mall.

Service Platform of Regional Smart Tour Ecosystem Support (지역중심의 스마트관광 생태계 지원 서비스 플랫)

  • Weon, Dalsoo
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.31-36
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    • 2018
  • The tourism industry has a great influence on national economy activation. The development of IT technology has enabled the collection and analysis of personal profile information, location information and activity information based on the characteristics, behavior, purchase propensity and interest of tourists. In order to realize this, the implementation of convergence smart tourism information service platform is completed by developing business model, IoT & Big Data integration management system, big data algorithm development and analysis platform in three stages. The underlying technology of the platform and algorithm needs a process of adopting open source, expanding the service element on the basis of it, and then complementing the problem through the test-bed demonstration test that connects the area. Using this platform, it is possible to develop a smart tourism environment that can provide customized services for each tourist by analyzing various information in an integrated manner. Also, it will be possible to improve the life of tourist destination residents and contribute to regional revitalization and job creation through the creation of smart tourism ecosystem focused on the region.

A Study on the Development of Curation Services of Specialized Library (특화도서관의 큐레이션 서비스 개발에 관한 연구)

  • Kwak, Woojung;Noh, Younghee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.30 no.1
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    • pp.53-75
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    • 2019
  • This study has examined the policy status of the specialized libraries and analyzed the status of curation services of libraries and similar institutions and portals, and proposed policy directions for the curation services provision of the specialized libraries. As for the results of this study, first, curation information is collected and selected through the participation of various curators, and the curation information is regularly updated on the websites and online gateways toward maximizing the perception of the book collections in place and the use of collections. Second, the scope of the specialized libraries' curation services are diversified, such as research support services, one-on-one customized curation services, and book curation. Third, digital curation services are constructed in connection with specialized themes. Fourth, beacon is installed inside, and based on the information received from the information forwarding media, individualized user services are provided via such data as the scope of movement of the users and the time entailed for dwelling in a space.

A Study on Indoor Route Guidance at Railway Stations for the Transportation Vulnerable (교통약자의 철도역 실내 길안내 방안에 관한 연구)

  • Jae-Bum Shin;Seong-Cheol Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.4
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    • pp.167-178
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    • 2023
  • Our society is rapidly changing, and there is a growing demand for various convenience services in our daily lives. Among these services, railway and subway stations require tailored wayfinding services to accommodate individuals with disabilities. Currently, signage and information desks are the primary means of navigation. However, individuals with disabilities often rely on assistance from others due to physical discomfort or cognitive impairments. In this paper, we propose a customized wayfinding system within railway stations to assist individuals with disabilities. This system aims to ensure safe and convenient mobility in complex indoor environments, including transfer facilities.