• 제목/요약/키워드: embedded vector

검색결과 156건 처리시간 0.026초

휴대용 단말기 전화 번호 키 입력과 상호작용하는 멀티미디어 서비스 (Wireless Multimedia Service Interacting with the Key Input of a Phone Number)

  • 정구민;안현식
    • 대한전기학회논문지:시스템및제어부문D
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    • 제55권2호
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    • pp.72-74
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    • 2006
  • In this paper, a wireless multimedia service interacting with key input of a phone number is Presented. In the conventional handset, when the key button is pressed, numbers are displayed or the embedded sound is played. Also, the contents are fixed and cannot be changed. In this paper, we propose a wireless multimedia service playing multimedia contents in accordance with the key input of a phone number. The contents can be downloaded from the wireless internet server. To implement this service, file format, fast codec and download structure are proposed. Using the presented structure, this service is being provided by a telecommunication company in Korea. Various applications based on this service are being expected.

AR계수를 이용한 Hidden Markov Model의 기계상태진단 적용 (Application of Hidden Markov Model Using AR Coefficients to Machine Diagnosis)

  • 이종민;황요하;김승종;송창섭
    • 한국소음진동공학회논문집
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    • 제13권1호
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    • pp.48-55
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    • 2003
  • Hidden Markov Model(HMM) has a doubly embedded stochastic process with an underlying stochastic process that can be observed through another set of stochastic processes. This structure of HMM is useful for modeling vector sequence that doesn't look like a stochastic process but has a hidden stochastic process. So, HMM approach has become popular in various areas in last decade. The increasing popularity of HMM is based on two facts : rich mathematical structure and proven accuracy on critical application. In this paper, we applied continuous HMM (CHMM) approach with AR coefficient to detect and predict the chatter of lathe bite and to diagnose the wear of oil Journal bearing using rotor shaft displacement. Our examples show that CHMM approach is very efficient method for machine health monitoring and prediction.

Immune Algorithm Based Active PID Control for Structure Systems

  • Lee, Young-Jin;Cho, Hyun-Cheol;Lee, Kwon-Soon
    • Journal of Mechanical Science and Technology
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    • 제20권11호
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    • pp.1823-1833
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    • 2006
  • An immune algorithm is a kind of evolutional computation strategies, which is developed in the basis of a real immune mechanism in the human body. Recently, scientific or engineering applications using this scheme are remarkably increased due to its significant ability in terms of adaptation and robustness for external disturbances. Particularly, this algorithm is efficient to search optimal parameters against complicated dynamic systems with uncertainty and perturbation. In this paper, we investigate an immune algorithm embedded Proportional Integral Derivate (called I-PID) control, in which an optimal parameter vector of the controller is determined offline by using a cell-mediated immune response of the immunized mechanism. For evaluation, we apply the proposed control to mitigation of vibrations for nonlinear structural systems, cased by external environment load such as winds and earthquakes. Comparing to traditional controls under same simulation scenarios, we demonstrate the innovation control is superior especially in robustness aspect.

SoC Front-end 설계를 위한 통합 환경

  • 김기선;김성식;이희연;김기현;채재호
    • 전자공학회지
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    • 제30권9호
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    • pp.1002-1011
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    • 2003
  • In this paper, we introduce an integrated SoC front-end design & verification environment which can be practically used in the embedded 32-bit processor-core SoC VLSI design. Our introduced SoC design & verification environment integrates two most important flows, such as the RTL power estimation and code coverage analysis, with the functional verification (chip validation) flow which is used in the conventional simulation-based design. For this, we developed two simulation-based inhouse tools, RTL power estimator and code coverage analyzer, and used them to adopt them to our RTL design and to increase the design quality of that. Our integrated design environment also includes basic design and verification flows such as the gate-level functional verification with back annotation information and test vector capture & replay environment.

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매설된 안테나에 의한 지면 위 금속도체의 전자파 산란 (Electromagnetic scattering from a conductor above ground illuminated by an embedded antenna)

  • 장병찬;이승학;김채영
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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    • pp.191-194
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    • 2002
  • We analyzed radiation characteristics of dipole antenna in a lossy 9round with conducting object located above ground. Electric field integral equation is used to solve the problem. In this integral equation, GPOF(Generalized Pencil of Function) method is applied to derive the closed form of the electric field due to a current source. Surface current on a conductor is expanded with a well-known vector triangle basis function. The singular integration of a triangle patch is transformed to the non-singular integration by Duffy's method. This transformed non-singular integration is easily calculated by using one-dimensional Gaussian quadrature rule, instead of usual closed form evaluation.

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Effect of Representation Methods on Time Complexity of Genetic Algorithm based Task Scheduling for Heterogeneous Network Systems

  • Kim, Hwa-Sung
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제1권1호
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    • pp.35-53
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    • 1997
  • This paper analyzes the time complexity of Genetic Algorithm based Task Scheduling (GATS) which is designed for the scheduling of parallel programs with diverse embedded parallelism types in a heterogeneous network systems. The analysis of time complexity is performed based on two representation methods (REIA, REIS) which are proposed in this paper to encode the scheduling information. And the heterogeneous network systems consist of a set of loosely coupled parallel and vector machines connected via a high-speed network. The objective of heterogeneous network computing is to solve computationally intensive problems that have several types of parallelism, on a suite of high performance and parallel machines in a manner that best utilizes the capabilities of each machine. Therefore, when scheduling in heterogeneous network systems, the matching of the parallelism characteristics between tasks and parallel machines should be carefully handled in order to obtain more speedup. This paper shows how the parallelism type matching affects the time complexity of GATS.

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유사도 기반 컴퓨터공학 기술 면접 시스템의 설계 (The Design of Technical Interview System for Computer Engineering based Similarity)

  • 이동현;김동현
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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    • pp.351-352
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    • 2023
  • 컴퓨터공학 분야 개발자를 채용할 때 대다수의 기업에서 일반 면접과는 달리 전공 분야 역량 파악을 위한 컴퓨터공학 기술 면접을 함께 진행한다. 컴퓨터공학 면접자의 기술 면접을 지원하기 위하여 이 논문에서는 컴퓨터공학 핵심 개념에 대한 면접자 답변의 정확도를 코사인 유사도를 이용하여 평가 후 결과를 알려주는 시스템을 제안한다. 제안한 시스템을 이용하면 개발자들의 컴퓨터공학 핵심 개념의 기술 면접 정확도를 향상시킬 수 있을 것으로 기대된다.

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움직임벡터의 변경을 최소화한 블라인드 비디오 워터마킹 (Blind Video Watermarking Using Minimum Modification of Motion Vectors)

  • 강경원;문광석;김종남
    • 한국멀티미디어학회논문지
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    • 제9권7호
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    • pp.864-871
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    • 2006
  • 디지털 방송의 발달과 인터넷의 보급으로 디지털 데이터에 대한 요구가 급격히 증가하고 있다. 이러한 디지털데이터의 저작권 보호를 위하여 최근 디지털 워터마킹에 관한 많은 연구가 이루어지고 있다. 본 논문에서 움직임 벡터의 변경을 최소화한 블라인드 비디오 워터마킹 기법을 제안한다. 기존의 움직임벡터 기반의 워터마킹 기법은 움직임벡터의 변경을 이용해 워터마크 삽입을 수행한다. 그러나 움직임벡터의 변경은 영상의 화질저하를 초래한다. 따라서 본 논문에서는 워터마크 정보의 삽입에 따른 움직임벡터의 변경을 최소화할 수 있는 삽입조건을 설정하여 영상의 비가시성을 향상시킬 수 있다. 그리고 워터마크 정보를 고려한 임계값을 적응적으로 설정하여 워터마크의 정보량을 안정 적으로 삽입할 수 있도록 보장할 수 있어 비디오 워터마킹을 효과적으로 수행할 수 있다. 제안한 방법은 비디오 비트스트림의 변화가 없기 때문에 기존의 동영상 압축표준과의 호환성을 유지할 수 있으며, 화질적인 측면에서 기존의 방법보다 약 $0.5{\sim}1.0\;dB$가 향상됨을 실험을 통해 확인할 수 있었다.

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A Study on Design and Implementation of Speech Recognition System Using ART2 Algorithm

  • Kim, Joeng Hoon;Kim, Dong Han;Jang, Won Il;Lee, Sang Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권2호
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    • pp.149-154
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    • 2004
  • In this research, we selected the speech recognition to implement the electric wheelchair system as a method to control it by only using the speech and used DTW (Dynamic Time Warping), which is speaker-dependent and has a relatively high recognition rate among the speech recognitions. However, it has to have small memory and fast process speed performance under consideration of real-time. Thus, we introduced VQ (Vector Quantization) which is widely used as a compression algorithm of speaker-independent recognition, to secure fast recognition and small memory. However, we found that the recognition rate decreased after using VQ. To improve the recognition rate, we applied ART2 (Adaptive Reason Theory 2) algorithm as a post-process algorithm to obtain about 5% recognition rate improvement. To utilize ART2, we have to apply an error range. In case that the subtraction of the first distance from the second distance for each distance obtained to apply DTW is 20 or more, the error range is applied. Likewise, ART2 was applied and we could obtain fast process and high recognition rate. Moreover, since this system is a moving object, the system should be implemented as an embedded one. Thus, we selected TMS320C32 chip, which can process significantly many calculations relatively fast, to implement the embedded system. Considering that the memory is speech, we used 128kbyte-RAM and 64kbyte ROM to save large amount of data. In case of speech input, we used 16-bit stereo audio codec, securing relatively accurate data through high resolution capacity.

Steering Control and Geomagnetism Cancellation for an Autonomous Vehicle using MR Sensors

  • 김홍렬;손석준;김태곤;김정희;임영철;김의선;장영학
    • 센서학회지
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    • 제10권5호
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    • pp.329-336
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    • 2001
  • This paper describes the steering control and geomagnetism cancellation for an autonomous vehicle using an MR sensor. The magneto-resistive (MR) sensor obtains the vector summation of the magnetic fields from embedded magnets and the Earth. The vehicle is controlled by the magnetic fields from embedded magnets. So, geomagnetism is the disturbance in the steering control system. In this paper, we propose a new method of the sensor arrangement in order to remove the geomagnetism and vehicle body interference. The proposed method uses two MR sensors located in a level plane and the steering controller has been developed. The controller has three input variables ($dB_x$, $dB_y$, $dB_z$) using the measured magnetic field difference, and an output variable (the steering angle). A simulation program was developed to acquire the data to teach the neural network, in order to test the ability of a neural network to learn the steering control process. Also, the computer simulation of the vehicle (including vehicle dynamics and steering) was used to verify the steering performance of the vehicle controller using the neural network. From the simulation and field test, good result was obtained and we confirmed the robustness of the neural network controller in a real autonomous vehicle.

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