• 한국인터넷방송통신학회논문지
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• 제10권3호
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• pp.145-152
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• 2010

최근 유비쿼터스 컴퓨팅 기술의 발전과 함께 센서 및 RFID에 관련한 정보 인식, 위치 측위와 같은 다양한 유비쿼터스 영역에 대한 관심과 연구가 증대되고 있다. 특히, 시공간 데이터를 다루는 실시간 위치 추적 서비스 기술이 대두되고 있다. 이에, ISO/IEC에서는 실시간 위치 추적 서비스의 데이타 호환성과 상호 운용성을 위해 RTLS 표준 명세를 제시하였다. 본 논문에서는 이동 객체의 시공간 데이타 스트림에 대한 효율적인 관리와 검색을 지원하는 시공간 질의 처리 시스템을 설계 및 구현하였다. 시공간 질의 처리 시스템의 시공간 미들웨어는 끊임없이 연속으로 들어오는 시공간 데이타 스트림을 실시간으로 처리하고 시공간 DBMS간의 양방향 동기화를 지원한다. 웹 서버는 서버와 클라이언트간의 상호 운용성을 위하여 SOAP(Simple Object Access Protocol) 메시지를 사용하며, 클라이언트의 SOAP 메시지를 분석하여 시공간 미들웨어의 CQL(Continuous Query Language)로 변환하는 기능을 지원한다. 마지막으로, 본 논문에서는 실시간 위치 추적 서비스에 적용해 봄으로써 시공간 질의 처리 시스템의 효용성을 입증하였다.

• 한국음향학회지
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• 제30권3호
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• pp.115-122
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• 2011

본 논문에서는 십자 형태로 구성된 네 개의 마이크로폰을 이용하여 일반화된 상호 상관 기법을 적용한 음성 도달시간 지연을 측정하여 정확한 음원 방향을 실시간으로 계산하는 방식에 대해 제시하였다. 기존 시스템에서는 마이크로폰 어레이 신호처리를 위해 데이터 수집 장치를 필요로 하므로 시스템을 내장하기 힘들고, 또한 DSP 프로세서를 사용한 음원방향 인지는 마이크로폰의 채널의 수가 늘어날수록 실시간 처리가 어려워지는 두 가지 단점이 있다. 본 논문에서는 이러한 한계를 극복하기 위하여 마이크로폰 어레이 신호처리를 이용한 향상된 음원방향 인지 하드웨어의 개발을 제안하였다. 공간 구분 기법을 이용한 효율적인 설계 및 검증방식을 제안하였고 이를 통하여 보다 정확한 방향 추정과 설계시간 단축이 가능하다. 최종적으로 음성 코덱과 FPGA를 이용하는 임베디드 시스템을 위해서 사용이 가능한 시스템을 개발하였다. 실험 결과에 의하면 PC 기반이나 DSP 프로세서를 사용한 경우에 비해 보다 빠른 처리 시간을 보였다.

• 디지털산업정보학회논문지
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• 제11권2호
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• pp.55-66
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• 2015

In this paper, we design and implement a two-way search algorithm that can provide a customized service through the user with real-time two-way communication using a mobile instant messaging service. Therefore, we design and implement the automative search system which enables delivering message to each user mobile terminal from a plurality of relay mobile terminals by utilizing the mobile instant messenger, not to deliver a message from the main server to the mobile instant messenger user directly. Two-way search system using the mobile instant messenger can be immediately collect the user's response is easy to identify the orientation of each user, and thus can be provided to establish a differentiated service plan. Also, It provides a number of services(text, photos, videos, etc) in real-time information to the user by utilizing the mobile instant messenger service without the need to install a separate application. Experiment results, data processing speed of the category processing way to search for the data of the DB server from a user mobile terminal is about 7.06sec, data processing number per minute is about 13 times. The data processing speed of the instruction processing way is about 3.10sec, data processing number per minute is about 10 times. The data processing speed of the natural language processing way is about 5.13sec, per data processing number per minute is about 7 times. Therefore in category processing way, command processing way and natural language processing way, instruction processing way is the most excellent in aspect of data processing speed, otherwise in aspect of per data processing number per minute, the category processing way is the best method.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 춘계학술대회 논문집 센서 박막재료 반도체 세라믹
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• pp.194-199
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• 2003

Depth error correction effect for maladjusted stereo cameras with calibrated pixel distance parameter is presented. The proposed neural network technique is the real time computation method based theory of inter-node diffusion for searching the safety distances from the sudden appearance-objects during the work driving. The main steps of the distance computation using the theory of stereo vision like the eyes of man is following steps. One is the processing for finding the corresponding points of stereo images and the other is the interpolation processing of full image data from nonlinear image data of objects. All of them request much memory space and time. Therefore the most reliable neural-network algorithm is derived for real-time matching of objects, which is composed of a dynamic programming algorithm based on sequence matching techniques.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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• pp.413-416
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• 2002

In this paper, a speech enhancement system using microphone array with adaptive Post-Processing is implemented in real-lime with TMS320C6201 DSP. It consists of delay-and-sum beamformer and adaptive post-processing filters with NLMS (Normalized Least Mean Square) algorithm. THS1206 ADC is used for collection of 4-channel microphone signals. Sizes of program memory, data ROM and data RAM of the implemented system are 15,744, 748 and 47,540 bytes, respectively. Finally 21.839${\times}$106 clocks per second is required for real-time operation.

• 전기학회논문지
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• 제60권2호
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• pp.245-251
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• 2011

Quantities of data in the DMS (Distribution management system) or SCADA (Supervisory control and data acquisition) system is enormously large as illustrated by the usage of term flooding of data. This enormous quantity of data is transmitted to the status data or event data of the on-site apparatus in real-time. In addition, if GIS (Geographic information system) and AMR (Automatic meter reading), etc are integrated, the quantity of data to be processed in real-time increases unimaginably. Increase in the quantity of data due to addition of system or increase in the on-site facilities cannot be handled through the currently used Single Thread format of data processing technology. However, if Multi Thread technology that utilizes LF-POOL (Leader Follower -POOL) is applied in processing large quantity of data, large quantity of data can be processed in short period of time and the load on the server can be minimized. In this Study, the actual materialization and functions of LF POOL technology are examined.

• Journal of Information Processing Systems
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• 제10권3호
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• pp.412-428
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• 2014

Request oriented sensor networks have stricter requirements than conventional event-driven or periodic report models. Therefore, in this paper we propose a minimum energy data aggregation (MEDA), which meets the requirements for request oriented sensor networks by exploiting a low power real-time scheduler, on-demand time synchronization, variable response frame structure, and adaptive retransmission. In addition we introduce a test bed consisting of a number of MEDA prototypes, which support near real-time bidirectional sensor networks. The experimental results also demonstrate that the MEDA guarantees deterministic aggregation time, enables minimum energy operation, and provides a reliable data aggregation service.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.184-186
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• 2007

Currently many sensors and processing data in a robot based on USN environments need to real-time features. In this paper, we examine recent research trends on real-time operating systems, especially on real-time embedded Linux, RTAI and Xenomai, for intelligent robots. Xenomai is a real-time development framework and have special feature supporting RTAI, VxWorks, pSOS+ etc. through the "skin". This research gives a guide to researcher in using real-time embedded Linux in the sense of architecture, supporting real-time mechanisms, kinds of real-time device driver, performances.

• Journal of information and communication convergence engineering
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• 제11권4호
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• pp.298-306
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• 2013

The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach. This paper proposes a novel parallel approach for SIFT algorithm implementation using a block filtering technique in a Gaussian convolution process on the SIMD Pixel Processor. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and input/output capabilities of the processor, which results in a system that can perform real-time image and video compression. We apply this implementation to images and measure the effectiveness of such an approach. Experimental simulation results indicate that the proposed method is capable of real-time applications, and the result of our parallel approach is outstanding in terms of the processing performance.

• 천문학논총
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• 제28권1호
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• pp.1-6
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• 2013

Real-time data reduction pipeline for the Korea Microlensing Telescope Network (KMTNet) was developed by Korea Astronomy and Space Science Institute (KASI). The main goal of the data reduction pipeline is to find variable objects and to record their light variation from the large amount of observation data of about 200 GB per night per site. To achieve the goal we adopt three strategic implementations: precision pointing of telescope using the cross correlation correction for target fields, realtime data transferring using kernel-level file handling and high speed network, and segment data processing architecture using the Sun-Grid engine. We tested performance of the pipeline using simulated data which represent the similar circumstance to CTIO (Cerro Tololo Inter-American Observatory), and we have found that it takes about eight hours for whole processing of one-night data. Therefore we conclude that the pipeline works without problem in real-time if the network speed is high enough, e.g., as high as in CTIO.