• Title/Summary/Keyword: stream computing

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A numerical method for the multiply-connected flow regions governed by incompressible vorticity-stream function Navier-Stokes equations (多重連結된 유동영역을 위한 비압축성 와도-유동함수 Navier-Stokes 방정식의 수치해법)

  • 장근식;신순철;박성근
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.12 no.3
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    • pp.575-581
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    • 1988
  • To integrate the two-dimensional Navier-Stokes equations numerically in multiply-connected flow regions, the vorticity-stream function formulation is used. The steady stream function value at the surface of the multibody, initially unknown, has been determined interactively by introducing a line integral which requires the single-valuedness of pressure at each interaction step. This procedure is relatively simpler and more efficient than the primitive variable formulation which requires much more computing time and shows poor convergence. Three doubly-connected flow problems are defined and numerically analyzed by the present method. The results have been compared either with earlier existing ones or with the experimental interferograms to demon-strate the validity of the presented method.

A Study on a Transferring Method of Video Stream to Existing Handphones without Downloading Additional Software (휴대폰에 소프트웨어 추가 없이 영상 스트림을 전송하는 방법 연구)

  • 박대원;홍마리아;김규정;임영환
    • Journal of Internet Computing and Services
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    • v.3 no.3
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    • pp.55-66
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    • 2002
  • This paper proposes a real-time transferring method of captured video stream to existing handphones without downloading additional software. For real-time transferring of captured vid대 data to handphones, two methods, the WAP based pull-method and the WAP based push-method, are proposed in the paper. Also for transcoding of captured frame into a WBMP image, a threshold setting method which uses the average value of total values of pixels in a scene is proposed. The methods we proposed are implemented in stream engines as video transcoding filter(called WBMPFilter) and video transferring medium(called WirelessMedium). And the experimental system shows 1 frame per 3 seconds transfer of video to existing handphones.

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Design and Implementation of Intelligent IP Switch with Packet FEC for Ensuring Reliability of ATSC 3.0 Broadcast Streams

  • Lee, Song Yeon;Paik, Jong Ho;Dan, Hyun Seok
    • Journal of Internet Computing and Services
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    • v.20 no.2
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    • pp.21-27
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    • 2019
  • The terrestrial ATSC 3.0 broadcasting system, which is capable of converging broadcast and communication services, uses IP based technology for data transmission between broadcasting equipment. In addition, data transmission between broadcasting equipment uses IP-based technology like existing wired communication network, which has advantageous in terms of equipment construction and maintenance In case IP based data transmission technology is used, however, it may inevitably cause an error that a packet is lost during transmission depending on the network environments. In order to cope with a broadcasting accident caused by such a transmission error or a malfunction of a broadcasting apparatus, a broadcasting system is generally configured as a duplication, which can transmit a normal packet when various types of error may occur. By this reason, correction method of error packets and intelligent switching technology are essential. Therefore, in this paper, we propose a design and implementation of intelligent IP switch for Ensuring Reliability of ATSC 3.0 Broadcast Streams. The proposed intelligent IP consists of IP Stream Analysis Module, ALP Stream Analysis Module, STL Stream Analysis Module and SMPTE 2022-1 based FEC Encoding/Decoding Module.

A PRELIMINARY STUDY FOR THE COUPLED ATMOSPHERS-STREAMFLOW MODELING IN KOREA

  • Bae, Deg-Hyo;Chung, Jun-Seok;Kwon, Won-Tae
    • Water Engineering Research
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    • v.1 no.1
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    • pp.25-37
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    • 2000
  • This study presents some results of a preliminary study for the coupled precipitation and river flow prediction system. The model system in based on three numerical models, Mesoscale Atmospheric Simulation model for generating atmospheric variables. Soil-Plant-Snow model for computing interactions within soil-canopy-snow system as well as the energy and water exchange between the atmosphere and underlying surfaces, and TOPMODEL for simulating stream flow, subsurface flow, and water tabled depth in an watershed. The selected study area is the 2,703 $\alpha_4$ $\km_2$ Soyang River basin with outlet at Soyang dam site. In addition to providing the results of rainfall and stream flow predictions, some results of DEM and GIS application are presented. It is obvious that the accurate river flow predictions are highly dependant on the accurate predictation predictions.

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A Review of Window Query Processing for Data Streams

  • Kim, Hyeon Gyu;Kim, Myoung Ho
    • Journal of Computing Science and Engineering
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    • v.7 no.4
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    • pp.220-230
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    • 2013
  • In recent years, progress in hardware technology has resulted in the possibility of monitoring many events in real time. The volume of incoming data may be so large, that monitoring all individual data might be intractable. Revisiting any particular record can also be impossible in this environment. Therefore, many database schemes, such as aggregation, join, frequent pattern mining, and indexing, become more challenging in this context. This paper surveys the previous efforts to resolve these issues in processing data streams. The emphasis is on specifying and processing sliding window queries, which are supported in many stream processing engines. We also review the related work on stream query processing, including synopsis structures, plan sharing, operator scheduling, load shedding, and disorder control.

Scalable Big Data Pipeline for Video Stream Analytics Over Commodity Hardware

  • Ayub, Umer;Ahsan, Syed M.;Qureshi, Shavez M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1146-1165
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    • 2022
  • A huge amount of data in the form of videos and images is being produced owning to advancements in sensor technology. Use of low performance commodity hardware coupled with resource heavy image processing and analyzing approaches to infer and extract actionable insights from this data poses a bottleneck for timely decision making. Current approach of GPU assisted and cloud-based architecture video analysis techniques give significant performance gain, but its usage is constrained by financial considerations and extremely complex architecture level details. In this paper we propose a data pipeline system that uses open-source tools such as Apache Spark, Kafka and OpenCV running over commodity hardware for video stream processing and image processing in a distributed environment. Experimental results show that our proposed approach eliminates the need of GPU based hardware and cloud computing infrastructure to achieve efficient video steam processing for face detection with increased throughput, scalability and better performance.

Real-Time Data Stream Management System Using State Thread (State Thread 기반 실시간 데이터 스트림 관리 시스템)

  • Park, Won-Vien;Song, Chang-Geun;Ko, Young-Woong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.177-180
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    • 2010
  • RFID를 기반으로 유비쿼터스 환경의 응용 서비스를 지원하는 미들웨어는 지속적으로 끊임없이 입력되는 데이터 스트림을 실시간으로 처리하고 응용 서비스에서 요구하는 결과를 획득하여 전달해야 한다. 이와 같은 요구사항을 만족하기 위해 데이터 스트림 관리 시스템(DSMS)이 제안되었으며 다양한 연구가 시도되고 있다. 본 논문에서는 대량의 이벤트가 입력되는 환경에서 우선순위가 높은 질의를 실시간으로 처리하기 위한 DSMS를 제안하고 있다. 본 연구는 스탠포드의 STREAM 프로젝트를 활용하여 설계 및 구현하였으며, 각 쿼리를 State Thread로 동작시키는 방법을 이용하였다. 쓰레드 라이브러리의 스케줄러 부분을 실시간 스케줄러로 개선하는 작업을 진행하였으며, 실험을 통하여 쓰레드 스케줄러가 질의에 대해서 실시간으로 스케줄링을 할 수 있음을 보이고 있다.

Data hiding in partially encrypted HEVC video

  • Xu, Dawen
    • ETRI Journal
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    • v.42 no.3
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    • pp.446-458
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    • 2020
  • In this study, an efficient scheme for hiding data directly in partially encrypted versions of high efficiency video coding (HEVC) videos is proposed. The content owner uses stream cipher to selectively encrypt some HEVC-CABAC bin strings in a format-compliant manner. Then, the data hider embeds the secret message into the encrypted HEVC videos using the specific coefficient modification technique. Consequently, it can be used in third-party computing environments (more generally, cloud computing). For security and privacy purposes, service providers cannot access the visual content of the host video. As the coefficient is only slightly modified, the quality of the decrypted video is satisfactory. The encrypted and marked bitstreams meet the requirements of format compatibility, and have the same bit rate. At the receiving end, data extraction can be performed in the encrypted domain or decrypted domain that can be adapted to different application scenarios. Several standard video sequences with different resolutions and contents have been used for experimental evaluation.

Security and Privacy Aspects of Low-Cost Radio Frequency Identification Systems

  • Kang, Jin-Suk;Choi, Yong-Sik;Sung, Mee-Young;Shin, Seung-Ho;Jeong, Tai-Keong T.
    • Journal of information and communication convergence engineering
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    • v.5 no.3
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    • pp.254-258
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    • 2007
  • Recently, ubiquitous computing in being actively researched and one of the main technology in ubiquitous computing environments is recognized as RFID system. The RFID system has much benefits but simultaneously has some problems such as user's privacy violation. In this paper, in order to improve the survivability of its nodes, it should build available simulation surrounding sensor nodes. Also, In the proposed cryptosystems we use a new hash function for user authentication and a stream cipher based on LFSR(Linear Feedback Shift Register) for message encryption and decryption. Moreover, each algorithm is programmed with C language and simulated on IBM-PC system and we analyze the randomness properties of the proposed algorithms by using statistical tests.

Technology of Distributed Stream Computing (분산 스트림 컴퓨팅 기술 동향)

  • Lee, M.Y.
    • Electronics and Telecommunications Trends
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    • v.26 no.1
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    • pp.80-88
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    • 2011
  • 데이터의 효과적인 활용이 경쟁력 확보에 주요한 요인이나, 데이터 폭증은 유용한 정보를 얻는데 필요한 처리 시간의 지연을 야기하고 있다. 개인 맞춤형 서비스, 방범 방재 서비스 등 모니터링 & 대응 서비스를 위해 분석할 데이터의 양이 급증하고 있으며, 텍스트, 영상, 오디오 등 비정형 데이터에 대한 실시간 분석 필요성이 증대하고 있다. 대량의 폭증하는 데이터에 대한 실시간 분석 처리 환경을 제공하기 위해 분산 병렬 컴퓨팅 기술과 데이터 스트림 연속 처리 기술이 활용되고 있다. 본고에서는 폭증하는 데이터 스트림 처리를 위하여 확장성 및 유연한 처리 환경을 제공하는 분산 스트림 컴퓨팅 기술에 대해 소개한다.

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