• Title/Summary/Keyword: Smart Browser

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Design and Implementation of SALT-based Voice Browser (SALT 기반 음성 브라우저의 설계 및 구현)

  • Lee, Yong-Hee;Lee, Dong-Woo;Shin, Hee-Sook;Choi, Eun-Jeong;Park, Jun-Seok
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.574-576
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    • 2005
  • 정보통신 기기의 발전하면서 소형화, 경량화와 함께 이동성을 갖춘 다양한 차세대 PC 기기들이 나타나고 있다. 기존의 마우스나 키보드를 통한 인터페이스뿐만 아니라 음성, 펜, 제스처 등을 이용한 멀티모달 인터페이스에 대한 요구가 증대되면서 이에 대한 연구가 활발히 이루어지고 있다. 또한 최근의 음성 처리 기술이 발전하고 단말기의 성능이 개선되면서 음성을 이용한 인터페이스에 대한 연구가 활발히 이루어지고 있다. 본 논문에서는 브라우저에서 음성 지원을 위해 제안된 SALT를 기반으로 하여 사용자와 음성 인터페이스가 가능한 음성 브라우저를 설계하고 구현한다.

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Design of a Smart TV Service System for Daily Life Notification (스마트 TV 생활 알리미 서비스 시스템 설계)

  • Choi, Jong Myung;Im, Do Yeon;Park, Kyung Woo;Oh, Soo Lyul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.3
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    • pp.23-31
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    • 2012
  • With the advance of Smart TV technologies, TV watchers can enjoy the Internet and games while watching TV programs. Besides retrieving with some keywords in the Internet, people may want to access local information such as notifications from town, messages from children's schools, shopping information from local marts, and even reminder messages for visiting from hospitals while watching TV without using web-browser. In this paper, we introduce the daily life notification service scenarios and its functional and non-functional requirements. Furthermore, we also propose a system that provides the notification services, consists of smart TV apps and server systems. We also introduce the system architecture and the component design of the system. Our work will help smart TV service developers because this paper will give them some service scenarios, requirements, and system architecture and its component design.

Smart Advertising and Smart Coupon Services (스마트 광고 및 스마트 쿠폰 서비스)

  • Lee, Se-Hoon;Kim, Ki-Hun;Shin, Dae-Su;Song, Kang-Min
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.237-240
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    • 2013
  • 21세기 스마트폰이 활성화됨에 따라 SNS(Social Network Service)의 사용이 급증하고 있으며, 기업 및 개인은 SNS의 파장효과를 이용하여 홍보 수단으로 활용하고 있다. 다양한 SNS가 존재함에 따라 각 SNS 별도의 계정을 이용하여 운영하고 있다. 이에 따라 각각의 독립적인 운영으로 관리작업이 늘어나고 효율적인 활용이 제약받게 된다. 본 논문에서는 HTML5 웹 표준화 기술을 적용, 운영체제(OS), 스크린(Screen), 브라우저(Browser)에 제약받지 않는 APP을 구현(implement)하고, 이 APP으로 홍보뿐만 아닌 기존의 쿠폰이 제공하지 못하는 사용자의 편의성 부분을, 스마트폰이 탑재하고 있는 NFC 기반의 모바일 쿠폰시스템까지 구현한다.

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A Life Browser based on Probabilistic and Semantic Networks for Visualization and Retrieval of Everyday-Life (일상생활 시각화와 검색을 위한 확률망과 의미망 기반 라이프 브라우저)

  • Lee, Young-Seol;Hwang, Keum-Sung;Kim, Kyung-Joong;Cho, Sung-Bae
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.3
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    • pp.289-300
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    • 2010
  • Recently, diverse information which are location, call history, SMS history, photographs, and video can be collected constantly from mobile devices such as cellular phone, smart phone, and PDA. There are many researchers who study services for searching and abstraction of personal daily life with contextual information in mobile environment. In this paper, we introduce MyLifeBrowser which is developed in our previous work. Also, we explain LPS and correction of GPS coordinates as extensions of previous work and show LPS performance test and evaluate the performance of expanded keywords. MyLifeBrowser which provides searching personal information in mobile device and support of detecting related information according to a fragmentary keyword and common knowledge in ConceptNet. It supports the functionality of searching related locations using Bayesian network that is designed by the authors. In our experiment, we visualize real data through MyLifeBrowser and show the feasibility of LPS server and expanded keywords using both Bayesian network and ConceptNet.

A Monitoring System of Energy Usage for Apartment Houses Using Smart TV (스마트TV를 이용한 공동주택의 에너지 사용 모니터링 시스템)

  • Park, Sungsoo;Jin, Younghoon;Nam, Sanghun;Chai, Youngho
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.6
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    • pp.451-460
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    • 2013
  • This paper presents the necessary elements and data flow in developing a monitoring system of energy usage for apartment houses with a Smart TV. Energy consumption data in each home are collected and analyzed in the HUB station by way of measuring instruments. And the amount of energy usage, such as electricity, gas, hot water, heating, water and other utilities are displayed through the Smart TV application. Energy consumption Database in the HUB station are processed and displayed in the browser of a Smart TV through XML, JAVASCRIPT and Flash. Smart TV users can get the energy consumption status through the energy consumption analysis display of the Smart TV application and improve the energy efficiency by comparing the usage patterns with neighboring houses. And the application display energy usage information, consumption ranking, rates to user as well. Furthermore, usage of last month or year can be compared to help to reduce the energy usage. The proposed system can provide the information about the amount of energy use to be reduced and the warning on the waste of energy.

HTML5-based Web TV Industry Trends

  • Park, Sehwan;Kim, Jungho;Yu, Daesang;Park, Jongkyu
    • International Journal of Internet, Broadcasting and Communication
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    • v.5 no.2
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    • pp.15-17
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    • 2013
  • The web service companies develop the App support technique of the HTML5 base in the smart media system and smart TV competitively while the Web platform of the HTML5 base is legislated with the next generation national standard. It is essential to the web kernel, which is the common library of the operating system including the file, window, resource and network management is provided in order to support the various app developments of the HTML5 base effectually. Additionally, the web application program can support UI/UX function of the desktop user using the web browser and JavaScript drive and administration, window management function, and etc. is needed.

Photo-based Desktop Virtual Reality System Implemented on a Web-browser

  • Ohta, Masaya;Otani, Hiroki;Yamashita, Katsumi
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.2
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    • pp.88-95
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    • 2014
  • This paper proposes a novel desktop virtual reality system. Based on the position of the user's face, the proposed system selects the most appropriate image of an object from a set of photographs taken at various angles, and simply "pastes" it onto the display at the appropriate location and scale. Using this system, the users can intuitively feel the presence of the object.

A Study on the Performance Comparison of 3D File Formats on the Web

  • Lee, Geon-hee;Choi, Pyeong-ho;Nam, Jeong-hwan;Han, Hwa-seop;Lee, Seung-hyun;Kwon, Soon-chul
    • International journal of advanced smart convergence
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    • v.8 no.1
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    • pp.65-74
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    • 2019
  • 3D file formats typically include OBJ (Wavefront file format), STL (STereoLithography), and FBX (Filmbox). Each format has limitations depending on its configuration and usage, and supported formats are different depending on the software application. glTF helps uniform integration of 3D file formats and allows for more efficient transmission of large 3D geometry files by organizing them in a binary format. This paper presents explanation on OBJ, FBX, and STL which are major examples of existing 3D file formats. It also explains the concept and characteristics of glTF and compares its performance with other 3D file formats on the web. The loading time and packets of each 3D file format are measured according to the web browser environment by means of Google Chrome, Firefox and Microsoft Edge. Experimental results show that glTF is the most efficient and that it exhibits the best performance. As to STL, relatively excessive traffic was observed. This study is expected to contribute to reducing rendering time on the web as 3D file formats are used.

A OTT content data analysis technique on a PC environment (PC 환경에서의 OTT 콘텐츠 데이터 분석 방법)

  • Chanwoo Lee;Junyoung Heo
    • Smart Media Journal
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    • v.13 no.2
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    • pp.62-67
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    • 2024
  • Due to technological advancements in viewing devices and the COVID-19 pandemic, a lot of OTT-only content is being produced and distributed as people shift from traditional movie theater viewing and broadcasters' fixed TV viewing to free-form OTT viewing using wired and wireless internet. As a result, the ability to leverage data from OTT audiences has become critical to the competitiveness of the industry. However, third parties other than OTT content providers are facing difficulties in acquiring OTT viewer data. In this paper, as a way to overcome the shortcomings of existing viewer data acquisition, we propose a method to extract audio and video data by developing an OTT viewing data acquisition agent using Web APIs by adopting a web browser environment that does not affect the performance of OS and viewing devices, so that third-party companies that need viewing data can utilize it.

Video Quality Representation Classification of Encrypted HTTP Adaptive Video Streaming

  • Dubin, Ran;Hadar, Ofer;Dvir, Amit;Pele, Ofir
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3804-3819
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    • 2018
  • The increasing popularity of HTTP adaptive video streaming services has dramatically increased bandwidth requirements on operator networks, which attempt to shape their traffic through Deep Packet inspection (DPI). However, Google and certain content providers have started to encrypt their video services. As a result, operators often encounter difficulties in shaping their encrypted video traffic via DPI. This highlights the need for new traffic classification methods for encrypted HTTP adaptive video streaming to enable smart traffic shaping. These new methods will have to effectively estimate the quality representation layer and playout buffer. We present a new machine learning method and show for the first time that video quality representation classification for (YouTube) encrypted HTTP adaptive streaming is possible. The crawler codes and the datasets are provided in [43,44,51]. An extensive empirical evaluation shows that our method is able to independently classify every video segment into one of the quality representation layers with 97% accuracy if the browser is Safari with a Flash Player and 77% accuracy if the browser is Chrome, Explorer, Firefox or Safari with an HTML5 player.