• Title/Summary/Keyword: mashup

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Enriching Natural Monument with User-Generated Mobile Augmented Reality Mashup

  • Shin, Choonsung;Hong, Sung-Hee;Yoon, Hyoseok
    • Journal of Multimedia Information System
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    • v.7 no.1
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    • pp.25-32
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    • 2020
  • This paper proposes a mobile augmented reality mashup for cultural heritage sites such as natural monuments. Several benefits of mobile augmented reality solutions are ideal for preserving and protecting cultural heritage sites. By presenting mobile augmented reality mashup scenarios and mobile mashup framework, we introduce how user-generated multimedia contents can be added. We present two scenarios of Mashup Viewer and Mashup Maker. In Mashup Viewer mode, visitors can create new AR contents using mashup tools for memo, Twitter, images and statistical graphs. In Mashup Maker mode, other visitors also can view the user-generated multimedia AR contents using QR codes as access points. To show feasibility of our approach in mobile platforms, we compare several detection algorithms on PC and mobile platform and report on deployment of our approach in a natural monument museum. With our proposed mashup tools, visitors to the cultural heritage sites can enjoy default AR contents provided by the site administrators and also participate as active content producers and consumers.

Trusted Fog Based Mashup Service for Multimedia IoT based Smart Environmental Monitoring

  • Elmisery, Ahmed M.;Sertovic, Mirela
    • Journal of Multimedia Information System
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    • v.4 no.4
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    • pp.171-178
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    • 2017
  • Data mashup is a web technology that combines information from multiple sources into a single web application. Mashup applications create a new horizon for new services, like environmental monitoring. Environmental monitoring is a serious tool for the state and private organizations, which are located in regions with environmental hazards and seek to gain insights to detect hazards and locate them clearly. These organizations utilize a data mashup to merge datasets from different Internet of multimedia things (IoMT) context-based services in order to leverage its data analytics performance and the accuracy of the predictions. However, mashup different datasets from multiple sources is a privacy hazard as it might reveal citizens specific behaviors in different regions. The ability to preserve privacy in mashuped datasets and at the same time provide accurate insights becomes a key success for the spread of mashup services. In this paper, we present our efforts to build a fog-based middleware for private data mashup (FMPM) to serve a centralized environmental monitoring service. The proposed middleware is equipped with concealment mechanisms to preserve the privacy of the merged datasets from multiple IoMT networks involved in the mashup application. Also, these mechanisms preserve the aggregates in the dataset to maximize the usability of information to attain accurate analytical results. We also provide a scenario for IoMT-enabled data mashup service and experimentation results.

Mashup Web of Visual Structure using the Mechanism of GPIS Tracking (GPIS Tracking 메커니즘의 시각구조 Mashup Web)

  • An, Sung-Eun;Kim, Jung-Joong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.4
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    • pp.65-71
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    • 2009
  • Web Contents have been evolved from statics, dynamics contents to Mashup service. In recent years, Mashup which can creates new contents by mixing different services is topic on the web service. But, Mashup is only concentrate on making new contents to provide for client. In this paper, we propose the policy of composing services and client-friendly UI.

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Design and Implementation of the Performance Driven UI-Mashup Architecture (성능 주도의 UI-Mashup 아키텍처의 설계 및 구현)

  • Cho, Dong-Il
    • Journal of Internet Computing and Services
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    • v.15 no.1
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    • pp.45-53
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    • 2014
  • UI-Mashup is widely used as a service method to add value, which is composed of distributed various contents on the internet and has turned out to be one of the latest trends in web application program development. Previous UI-Mashup-related studies have focused primarily on the dynamic service composition and have not been able to adapt to a rapidly changing Web Standard, thusthe end users conclude that UI-Mashups are slow, incompatible and poor security services. In this study, We propose an architecture for the performance improvements of UI-Mashup.In order to provide fast services and security enhancements, the proposed architecture collects UI fragments on the server in parallel, and sends layouts and contents of Mashups UI to the client through a special delivery channel supporting fast reaction and response time. In this study, the implementation and performance tests were proceeded to verify the proposed architecture experimentally. As a result of the performance testing, the proposed architecture has two to three times faster response time and more than four times throughput compared to the previous UI-Mashup technology.

Visual Structure Web of Mashup of the GPIS Tracking Mechanism (GPIS Tracking 메커니즘의 Mashup 시각구조 웹)

  • Ahn, Sung-Eun;Tcha, Hong-Jun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.2
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    • pp.79-85
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    • 2009
  • This research study and design, implement the digital multi-media description technique of Mashup Web which will be evolved into visible visual structure in form of cooperation studying. This technique is study user connect location information and service using pattern, then this information description technique of Mashup pre-operate inference data by tracking user service data.

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SaaS application mashup based on High Speed Message Processing

  • Chen, Zhiguo;Kim, Myoungjin;Cui, Yun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1446-1465
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    • 2022
  • Diversified SaaS applications allow users more choices to use, according to their own preferences. However, the diversification of SaaS applications also makes it impossible for users to choose the best one. Furthermore, users can't take advantage of the functionality between SaaS applications. In this paper, we propose a platform that provides an SaaS mashup service, by extracting interoperable service functions from SaaS-based applications that independent vendors deploy and supporting a customized service recommendation function through log data binding in the cloud environment. The proposed SaaS mashup service platform consists of a SaaS aggregation framework and a log data binding framework. Each framework was concreted by using Apache Kafka and rule matrix-based recommendation techniques. We present the theoretical basis of implementing the high-performance message-processing function using Kafka. The SaaS mashup service platform, which provides a new type of mashup service by linking SaaS functions based on the above technology described, allows users to combine the required service functions freely and access the results of a rich service-utilization experience, using the SaaS mashup function. The platform developed through SaaS mashup service technology research will enable various flexible SaaS services, expected to contribute to the development of the smart-contents industry and the open market.

Analysis of Mashup Performances based on Vector Layer of Various GeoWeb 2.0 Platform Open APIs (다양한 공간정보 웹 2.0 플랫폼 Open API의 벡터 레이어 기반 매쉬업 성능 분석)

  • Kang, Jinwon;Kim, Min-soo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.4
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    • pp.745-754
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    • 2019
  • As GeoWeb 2.0 technologies are widely used, various kinds of services that mashup spatial data and user data are being developed. In particular, various spatial information platforms such as Google Maps, OpenStreetMap, Daum Map, Naver Map, olleh Map, and VWorld based on GeoWeb 2.0 technologies support mashup service. The mashup service which is supported through the Open APIs of the platforms, provides various kinds of spatial data such as 2D map, 3D map, and aerial image. Also, application fields using the mashup service are greatly expanded. Recently, as user data for mashup have been greatly increased, there was a problem in mashup performance. However, the research on the mashup performance improvement is currently insufficient, even the research on the mashup performance comparison of various platforms has not been performed. In this paper, we perform comparative analysis of the mashup performance for large amounts of user data and spatial data using various spatial information platforms available in Korea. Specifically, we propose two performance analysis indexes of mashup time and user interaction time in order to analyze the mashup performance efficiently. Also, we implement a system for the performance analysis. Finally, from the performance analysis result, we propose a spatial information platform that can be efficiently applied to cases when user data increases greatly and user interaction occurs frequently.

Surveying Controlpoint Management by Mashup Web Map (메쉬업(Mashup) 측량기준점관리체계에 관한연구)

  • Tcha, Dek-Kie;Yang, Chul-Soo;Lee, In-Su
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.173-175
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    • 2010
  • The Internet map service is word-wide trend and suggest to build up surveying control point management by mashup and API functions. In traditionally many surveyor used the record book. The result of mashup with cadastral control point and Web's map services as Daum and Google map was well matched which is transformed common points and should be useful manage the it and field recognitions.

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A Study on the Web-Based Representation of Thematic Maps Using GeoWeb Platform (GIS와 지오웹 플랫폼을 활용한 웹기반 주제도 표현에 관한 연구)

  • Kim, Nam-Shin;Jin, Shizhu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.14 no.1
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    • pp.107-117
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    • 2011
  • This study aimed to inquire into possibilities of the web-based representation of thematic maps by geo-information mashup in the geoweb platform. In the Web2.0, Google platform leads the geoweb by offering effective mashup functions for geo-information. Geo-information mashup is opening a new horizon of map applications in fusion with a great of data in the Internet. Geo-information mashup by the available data method can be classified as two type; one is linkage of sources of platform itself(satellite images) and external data, the other is linkage of platform itself and user created contents. This study made heatmap, proportional map, and choropleth map based on Google satellite images by the linkage of platform itself and external data. As a result, thematic map of Google mashup expected to give us to a flexibility for difference interpretations of geographical distribution by representing overlap with satellite images.

Environmental IoT-Enabled Multimodal Mashup Service for Smart Forest Fires Monitoring

  • Elmisery, Ahmed M.;Sertovic, Mirela
    • Journal of Multimedia Information System
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    • v.4 no.4
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    • pp.163-170
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    • 2017
  • Internet of things (IoT) is a new paradigm for collecting, processing and analyzing various contents in order to detect anomalies and to monitor particular patterns in a specific environment. The collected data can be used to discover new patterns and to offer new insights. IoT-enabled data mashup is a new technology to combine various types of information from multiple sources into a single web service. Mashup services create a new horizon for different applications. Environmental monitoring is a serious tool for the state and private organizations, which are located in regions with environmental hazards and seek to gain insights to detect hazards and locate them clearly. These organizations may utilize IoT - enabled data mashup service to merge different types of datasets from different IoT sensor networks in order to leverage their data analytics performance and the accuracy of the predictions. This paper presents an IoT - enabled data mashup service, where the multimedia data is collected from the various IoT platforms, then fed into an environmental cognition service which executes different image processing techniques such as noise removal, segmentation, and feature extraction, in order to detect interesting patterns in hazardous areas. The noise present in the captured images is eliminated with the help of a noise removal and background subtraction processes. Markov based approach was utilized to segment the possible regions of interest. The viable features within each region were extracted using a multiresolution wavelet transform, then fed into a discriminative classifier to extract various patterns. Experimental results have shown an accurate detection performance and adequate processing time for the proposed approach. We also provide a data mashup scenario for an IoT-enabled environmental hazard detection service and experimentation results.