• Title/Summary/Keyword: 차세대정보시스템

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A Handover Method for Service Continuity of Mobile Multimedia (이동 멀티미디어 서비스의 연속성 보장을 위한 핸드오버 방법)

  • Lee, Jong-Chan;Lee, Moon-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.7A
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    • pp.770-777
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    • 2007
  • Smaller cell size in the micro-cell or pico-cell structure brings about more frequent hand-overs between cells, and higher speed movement of the mobile terminal makes short the permissible time interval for executing these hand-over procedures. In this situation the hand-over failure may occur or some packets may be lost during the hand-over. Moreover a rapid degradation of throughput is triggered by packet re-transmission for compensating such errors. The QoS (Quality of Services) of mobile multimedia applications with higher bits rate requirements and higher speed mobility are severely affected by even shot service interruption. This paper proposes a new hand-over scheme to provide seamless services in the next generation mobile communication systems. Simulation is done to evaluate the performance of the proposed scheme based on its hand-over failure rate and packet loss rate.

Enhancing the Performance of Multiple Parallel Applications using Heterogeneous Memory on the Intel's Next-Generation Many-core Processor (인텔 차세대 매니코어 프로세서에서의 다중 병렬 프로그램 성능 향상기법 연구)

  • Rho, Seungwoo;Kim, Seoyoung;Nam, Dukyun;Park, Geunchul;Kim, Jik-Soo
    • Journal of KIISE
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    • v.44 no.9
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    • pp.878-886
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    • 2017
  • This paper discusses performance bottlenecks that may occur when executing high-performance computing MPI applications in the Intel's next generation many-core processor called Knights Landing(KNL), as well as effective resource allocation techniques to solve this problem. KNL is composed of a host processor to enable self-booting in addition to an existing accelerator consisting of a many-core processor, and it was released with a new type of on-package memory with improved bandwidth on top of existing DDR4 based memory. We empirically verified an improvement of the execution performance of multiple MPI applications and the overall system utilization ratio by studying a resource allocation method optimized for such new many-core processor architectures.

A Handover Mechanism Between Local Mobility Anchors in Proxy Mobile IPv6-based Vehicular Communication Networks (Proxy Mobile IPv6 기반 차량통신망에서 Local Mobility Anchor간 핸드오버 기법)

  • Lim, Yu-Jin;Ahn, Sang-Hyun;Cho, Kwon-Hee
    • The KIPS Transactions:PartC
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    • v.17C no.3
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    • pp.243-250
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    • 2010
  • Vehicular communication networking is one of the most important building blocks of Intelligent Transportation System (ITS). The vehicular communication network is a wireless communication system enabling vehicles to communicate with each other as well as with roadside base stations. Mobility management of vehicles which move at high speeds and occasionally make a long journey is an interesting research area of vehicular communication networks. Recently, The Proxy Mobile IPv6 (PMIPv6) protocol is proposed for network-based mobility management to reduce the overhead of mobile nodes. PMIPv6 shifts the burden of the mobility management from mobile nodes to network agents to decrease the overhead and latency for the mobility management. In this paper, we derive the scenario of deploying PMIPv6 in vehicular communication networks and propose a new LMA handover mechanism for realizing the scenario. By carrying out the ns-2 based simulations, we verify the operability of the proposed mechanism.

An analysis of Scene Change Detection using HEVC coding additional information (HEVC 부호화 부가정보를 이용한 장면전환 검출 연구)

  • Eom, Yumi;Park, Sangil;Chung, Chang Woo
    • Journal of Broadcast Engineering
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    • v.20 no.6
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    • pp.871-879
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    • 2015
  • With the increase of mass contents data, a method of a scene change detection is required for analysis, indexing and editing. Although many researchers are studying a variety of scene change detection method, it is too difficult to accurately detect various movements of the cameras and scene changes. Also, earlier scene change detection methods take too much time to apply to UHD video contents. That is because the UHD video contents with 4K (3820x2160) resolution or higher have greater amount of data. Therefore a method for detecting a scene change by using the next-generation codec, HEVC, is required. In this paper, we propose four scene change detection methods using the coding additional information of HEVC, and a new pixel-based scene change detection system. Furthermore, through the experimental results, we check the possibility of detecting the scene changes of UHD videos encoded in HEVC format.

A Research on Cool URI based on Internationalized Resource Identifier for Web 2.0 (웹 2.0을 위한 다국어 식별자 기반의 Cool URI에 대한 연구)

  • Jung, Eui-Hyun;Kim, Weon;Song, Kwan-Ho;Park, Chan-Ki
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.5 s.43
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    • pp.223-230
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    • 2006
  • Web 2.0 and Semantic Web technology will be merged to be a next generation Web that leads presentation-oriented Web to data-centric Web. In the next generation Web, semantic processing, Web platform, and data fusion are most important technology factors. Among them, Cool URI used for data fusion can provide permanent and human readable URI and it has been already used in Blog system. However, Cool URI is not suitable to I18N environment such as Hangul and it is difficult to be adopted because several encodings are mingled in Korea Web society. In this paper, we discussed technology issues and Cool URI Web component to use Cool URI with Internationalized Resource Identifier (IRI). A proposed approach provides same function regardless of encoding type and supports both file system based and CGI based methods to be easily used from other applications. Results from several test environments show the implemented Web component satisfy the design purpose.

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Design for RDF-based Semantic Web System (RDF 기반 시맨틱 웹 시스템 설계)

  • Lee, Jong-Won;Jang, Ki-Man;Kim, Kyng-Hwan;Yang, Xitong;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.684-686
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    • 2014
  • It is difficult to effectively search and data management due to the increasing number of web is now. While Semantic Web technologies and the development of next-generation wepin this as a way to overcome them, and monopolize the domestic utilization is not overwhelming introduction to the Semantic Web technology is being used in existing search engines. This causes the development of the Semantic Web is becoming slower, and reluctant to use the Semantic Web users who use search engines as well. In this paper, compared to the currently used web and the next generation of the web, and why utilization is low compared to the search engine you are using an existing Web technology that uses the Semantic Web technology is a search engine, what research was that the inefficient because, as a RDF-based Semantic suggest how to improve the efficiency solved by designing the web.

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Structural similarity based efficient keyframes extraction from multi-view videos (구조적인 유사성에 기반한 다중 뷰 비디오의 효율적인 키프레임 추출)

  • Hussain, Tanveer;Khan, Salman;Muhammad, Khan;Lee, Mi Young;Baik, Sung Wook
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.6
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    • pp.7-14
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    • 2018
  • Salient information extraction from multi-view videos is a very challenging area because of inter-view, intra-view correlations, and computational complexity. There are several techniques developed for keyframes extraction from multi-view videos with very high computational complexities. In this paper, we present a keyframes extraction approach from multi-view videos using entropy and complexity information present inside frame. In first step, we extract representative shots of the whole video from each view based on structural similarity index measurement (SSIM) difference value between frames. In second step, entropy and complexity scores for all frames of shots in different views are computed. Finally, the frames with highest entropy and complexity scores are considered as keyframes. The proposed system is subjectively evaluated on available office benchmark dataset and the results are convenient in terms of accuracy and time complexity.

A Study of Tram-Pedestrian Collision Prediction Method Using YOLOv5 and Motion Vector (YOLOv5와 모션벡터를 활용한 트램-보행자 충돌 예측 방법 연구)

  • Kim, Young-Min;An, Hyeon-Uk;Jeon, Hee-gyun;Kim, Jin-Pyeong;Jang, Gyu-Jin;Hwang, Hyeon-Chyeol
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.12
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    • pp.561-568
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    • 2021
  • In recent years, autonomous driving technologies have become a high-value-added technology that attracts attention in the fields of science and industry. For smooth Self-driving, it is necessary to accurately detect an object and estimate its movement speed in real time. CNN-based deep learning algorithms and conventional dense optical flows have a large consumption time, making it difficult to detect objects and estimate its movement speed in real time. In this paper, using a single camera image, fast object detection was performed using the YOLOv5 algorithm, a deep learning algorithm, and fast estimation of the speed of the object was performed by using a local dense optical flow modified from the existing dense optical flow based on the detected object. Based on this algorithm, we present a system that can predict the collision time and probability, and through this system, we intend to contribute to prevent tram accidents.

A Study on the Implementation of Digital Signage System on Cloud computing-based (클라우드 컴퓨팅 기반의 디지털 사이니즈 시스템 구현에 관한 연구)

  • Kim, Yong-Ho
    • Journal of Digital Convergence
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    • v.10 no.6
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    • pp.283-288
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    • 2012
  • Implemented in this paper based on cloud computing needs of the digital signage software digital signage system, the existing production of the content of the inconvenience and IPTV set-up boxes designed like an unnecessary expense management, time and manpower to provide real-time information and by reducing WebEditor capable of producing interactive content authoring capabilities, such as next-generation digital signage by adding (Signage, advertising or public relations) proposed a new direction.

Big data for Speech and Language Processing (빅데이터 기반 음성언어 처리 기술)

  • Na, S.H.;Jung, H.Y.;Yang, S.I.;Kim, C.H.;Kim, Y.K.
    • Electronics and Telecommunications Trends
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    • v.28 no.1
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    • pp.52-61
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    • 2013
  • 음성언어 처리 분야는 인간의 자연어 발화를 컴퓨터가 자동으로 이해하고 처리하는 알고리즘을 연구하는 분야로, 자동 통번역, Siri와 같은 음성 대화 시스템, 차세대 인터페이스, 질의 응답 시스템 등 다양한 응용군을 포함한다. 특히, 음성언어 처리 기술은, 최근 빅데이터(big data) 시대를 맞이하여, 방대한 음성/텍스트 정보를 처리하기 위한 필수 기술로 각광받고 있다. 한편, 빅데이터는 그 자체가 거대한 말뭉치 데이터로서 음성언어 처리 기술의 성능을 향상시키는 주된 리소스가 된다. 이에 따라, 최근 빅데이터를 이용하여 음성언어 처리 기술의 성능을 개선시키고자 하는 연구가 활발히 진행되고 있는데, 본고에서는 이들 연구의 배경 및 연구 동향들을 소개하기로 한다.

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