• Title/Summary/Keyword: DOM script

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SDN/NFV Based Web Cache Consistency and JavaScript Transmission Acceleration Scheme to Enhance Web Performance in Mobile Network (모바일 네트워크에서 SDN/NFV 기반의 웹 성능 향상을 위한 웹 캐시 일관성 제공과 JavaScript 전송 가속화 방안)

  • Kim, Gijeong;Lee, Sungwon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.6
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    • pp.414-423
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    • 2014
  • The number and size of resource constituting the web page has been increasing steadily, and this circumstance leads to rapidly falling quality of web service in mobile network that offer relatively higher delay. Moreover, Improving the quality of a web services protocol is difficult to provide network function because the current network architecture has closed structure. In this paper, we suggest schemes to enhance web performance in mobile network, which are Check Coded DOM scheme and Functional JavaScript Transmission scheme, and then try to seek idea which can be provided suggested schemes as a network function using NFV(Network Function Virtualization). For the performance evaluation and analysis about the suggested schemes, we perform network simulation using SMPL library. We confirm that suggested schemes offer better performance in term of page loading time, the number of message and the amount of traffic in the network than HTTP Protocol.

Application of XML to Develop GUI within Satellite Imageries Search System (위성 영상 검색시스템의 GUI 개발을 위한 XML 적용)

  • Bu, Ki-Dong;Lee, Young-Ju
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.4
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    • pp.65-74
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    • 2002
  • The purpose of this study is to develop an XML based GUI that can search for satellite image information which is converted to XML data format and stored in the database server on the web, and modify and reuse data. In order to implement these functions efficiently, we used a DOM interface of XML that increases the efficiency of accessing the document structure. We used HTML and Java script programming to facilitate this interface. The system was applied to the management system of satellite images in the Research Institute of SFC at Keio University. Our results confirmed the technical functionalities.

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Effective Method to Change Multimedia Scene Configuration Information Using DOM Update (DOM update를 이용한 효율적인 멀티미디어 장면 구성 정보 변경 방안)

  • Kim, Kyuheon;Park, JungWook;Kim, Byungchul
    • Journal of Broadcast Engineering
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    • v.18 no.1
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    • pp.43-58
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    • 2013
  • Richmedia Service means that interactive media service can provide view with various multimedia elements(such as Video, Audio, Text) at same time. Various Multimedia elements can be serviced by Scene Description technology standards like BIFS(Binary Format for Scenes) and LASeR(Light Application Scene Representation). By providing Scene Component information, richmedia service is available to various multimedia services. so users is available to personalized services fitting temporal and spatial options. In conventional technology, when the scene is changed by user or service, mobile deletes the scene of configuration information and makes new scene of configuration information. this is a very inefficient way. In this paper, Propoesed that by using DOM(Document Object Model) method, to pass only the dynamic configuration part, changes scene method.

FastIO: High Speed Launching of Smart TV Apps (FastIO: 스마트 TV 앱의 고속 구동 기법)

  • Lee, Cheolhee;Hwang, Taeho;Won, Youjip;Lee, Seongjin
    • Journal of KIISE
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    • v.43 no.7
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    • pp.725-735
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    • 2016
  • Smart TV uses Webkit as a web browser engine to provide contents such as web surfing, VOD watching, and games. Webkit uses web resources, such as HTML, CSS, JavaScript, and images, in order to run applications. At the start of an application, Webkit loads resources to the memory and creates DOM tree and render tree, which is a time consuming process. However, DOM tree and render tree created by the smart TV application do not change over time because the smart TV application uses web resources stored in a disk. If DOM tree and render tree can be stored and reused, it is possible to reduce loading time of an application. In this paper, we propose FastIO technique that selectively adds persistency to dynamically allocated memory. FastIO reduces overall application loading time by eliminating the process of loading resources from storage, parsing the HTML documents, and creating DOM tree and render tree. Comparison of the application resource loading times indicates that the web browser with FastIO is 7.9x, 44.8x, and 2.9x faster than the legacy web browser in an SSD, Ramdisk, and eMMC environment, respectively.

Presentation Layer Framework using NOSCO-STOM (NOSCO-STOM을 통한 프레젠테이션 레이어 프레임웍)

  • Kwon, Ki-Hyeon
    • Journal of Internet Computing and Services
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    • v.7 no.6
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    • pp.11-20
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    • 2006
  • One of the most important factor while developing web application is to separate presentation and business logic lowering the maintenance cost. There are various web application development tools mainly categorized as script based such as Servlet, JSP, ASP.NET techniques and dynamic server page development frameworks such as Struts, JSF (Java Server Faces), Spring MVC etc. These tools provide web tier processing solution but not the complete separation of presentation and business logic. In this paper, we developed custom tog component that separate presentation and business logic, to process them we also developed container. In addition, DOM tree is applied to the developed container to manage the presentation effectively.

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User Interface Effect Plugin using jQuery for Web Accessibility (웹 접근성을 고려한 jQuery 유저 인터페이스 효과 플러그인)

  • Lee, Seon-Ung;Moon, Il-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.866-868
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    • 2011
  • In this paper, we propose an implementation of user interaction effect of web application using jQuery. jQuery is a very popular and extensible JavaScript library. It is strong in controlling DOM(Document Object Model), events and Ajax. But, it is poor at advanced effect of web user UI(User Interface). Implementing advanced effects need to extend jQuery or some skills. So, our proposal is a good way to implement UI effects.

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Twitter Issue Tracking System by Topic Modeling Techniques (토픽 모델링을 이용한 트위터 이슈 트래킹 시스템)

  • Bae, Jung-Hwan;Han, Nam-Gi;Song, Min
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.109-122
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    • 2014
  • People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.