• Title/Summary/Keyword: Information input algorithm

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A Wideband Interferometric Wavelength Shift Demodulator of Fiber Bragg Grating Strain Sensor

  • Song, Min-Ho
    • Journal of the Optical Society of Korea
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    • v.3 no.2
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    • pp.64-68
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    • 1999
  • The performance of a fiber Bragg grating strain sensor constructed with 3$\times$3 coupler is investigated. A 3$\times$3 coupler Mach-Zehnder (M/Z) interferometer is used as wavelength discriminator, interrogating strain-induced Bragg wavelength shifts. Two quadrature-phase-shifted intensities are synthesized from the as-coupled interferometer outputs, and digital arctangent demodulation and phase unwrapping algorithm are applied to extract the phase information proportional to strain. Due to the linear relation between the input strain and the output of quadrature signal processing, signal-fading problems eliminated. In the experiment, a fiber grating that was surface adhered on an aluminum beam was strained in different ways, and the photodetector signals were transferred and processed in a computer-controlled processing unit. A phase recovery fo 7.8$\pi$ pk-pk excursion, which corresponds to ~650$\mu$strain pk-pk of applied strain, was demonstrated. The sensor system was stable over the environmental intensi쇼 perturbations because of the self-referencing effect in the demodulation process.

Fixture Planning Using Case-Based Reasoning (사례기반 추론방법을 이용한 치공구의 선정)

  • 현상필;이홍희
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.51
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    • pp.129-138
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    • 1999
  • The aim of this research is the development of an automated fixture planning system for prismatic parts using the case-based reasoning (CBR). CBR is the problem solving paradigm that uses the similarity between a new problem and old cases to solve the new problem. This research uses CBR for the fixture planning. A case is composed with the information of the part, the components of fixture and the method of fixing for the part. The basic procedure is the retrieval and adaptation for the case, and this research presents the method of retrieval that selects most similar case to the new situation. The retrieval-step is divided into an index matching and an aggregated matching. The adaptation is accomplished by the modification, which transforms the selected case to the solution of the situation of the input part by the specified CBR algorithm. The components of fixture and the method of fixing are determined for a new part by the procedure.

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Estimation of Metabolic Rate Estimation for Location-based Human Adaptive Air-conditioner in Smart Home (스마트 홈에서 위치 기반 인간 적응형 냉난방기를 위한 신체 활동량 추정)

  • Kim, Hyun-Hee;Lee, Suk;Lee, Kyung-Chang
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.1
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    • pp.83-89
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    • 2010
  • If an appliance perceives the location or health condition of a resident in the smart home, it can provide more intelligent service actively. That is, while the conventional appliance is operated by manual input of a resident, the location-based human adaptive appliance detects the resident's information such as location, activity pattern, or health condition by itself and provides the most suitable living condition for the resident autonomously. This paper presents the real-time location-based metabolic rate estimation method that measures the amount of physical activity (metabolic rate) for location-based human adaptive air-conditioner. And, the feasibility of the algorithm is evaluated experimentally on a test bed using the pyroelectric infrared sensor-based indoor location aware system (PILAS) that is a non-terminal-based location-aware system.

Design of Adaptive Regulator Using the Explicit Criterion Minimization (명시적 평가지수 최소화 방법에 의한 적응 레귤레이터의 설계)

  • 이상재;채창현;안태천;조시형
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.7
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    • pp.997-1004
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    • 1990
  • In this paper, a design method of a robust adaptive regulator with feedfoward path based on the explicit criterion minimization is proposed. The convergence speed of parameter estimation is improved by using the stochastic Newton minimization method in the criterion minimization algorithm, and sensitivity derivatives are used in the regulator calculation for improving the robustness of the control system. Trh proposed adaptive regulator is applied to the stable minimum-phase and nonminimum-phase system, the results are shown that control performance and disturbance compensation ability of the regulator are improved. And the choosing method of input penalty is proposed.

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Optimal buffer partition for provisioning QoS of wireless network

  • Phuong Nguyen Cao;Dung Le Xuan;Quan Tran Hong
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.57-60
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    • 2004
  • Next generation wireless network is evolving toward IP-based network that can various provide multimedia services. A challenge in wireless mobile Internet is support of quality of service over wireless access networks. DiffServ architecture is proposed for evolving wireless mobile Internet. In this paper we propose an algorithm for optimal buffer partitioning which requires the minimal channel capacity to satisfy the QoS requirements of input traffic. We used a partitioned buffer with size B to serve a layered traffic at each DiffServ router. We consider a traffic model with a single source generates traffic having J $(J\geq2)$ quality of service (QoS) classes. QoS in this case is described by loss probability $\varepsilon_j$. for QoS class j. Traffic is admitted or rejected based on the buffer occupancy and its service class. Traffic is generated by heterogeneous Markov-modulated fluid source (MMFS).

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Detection of Face and Facial Features in Complex Background from Color Images (복잡한 배경의 칼라영상에서 Face and Facial Features 검출)

  • 김영구;노진우;고한석
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.69-72
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    • 2002
  • Human face detection has many applications such as face recognition, face or facial feature tracking, pose estimation, and expression recognition. We present a new method for automatically segmentation and face detection in color images. Skin color alone is usually not sufficient to detect face, so we combine the color segmentation and shape analysis. The algorithm consists of two stages. First, skin color regions are segmented based on the chrominance component of the input image. Then regions with elliptical shape are selected as face hypotheses. They are certificated to searching for the facial features in their interior, Experimental results demonstrate successful detection over a wide variety of facial variations in scale, rotation, pose, lighting conditions.

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Systolic arry archtecture for full-search mothion estimation (완전탐색에 의한 움직임 추정기 시스토릭 어레이 구조)

  • 백종섭;남승현;이문기
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.12
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    • pp.27-34
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    • 1994
  • Block matching motion estimation is the most widely used method for motion compensated coding of image sequences. Based on a two dimensional systolic array, VLSI architecture and implementation of the full search block matching algorithm are described in this paper. The proposed architecture improves conventional array architecture by designing efficient processing elements that can control the data prodeuced by efficient search window division method. The advantages are that 1) it allows serial input to reduce pin counts for efficient composition of local memories but performs parallel processing. 2) It is flexible and can adjust to dimensional changes of search windows with simple control logic. 3) It has no idel time during the operation. 4) It can operate in real/time for low and main level in MPEG-2 standard. 5) It has modular and regular structure and thus is sutiable for VLSI implementation.

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A Study on the Implementation of Modified Hybrid Learning Rule (변형하이브리드 학습규칙의 구현에 관한 연구)

  • 송도선;김석동;이행세
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.12
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    • pp.116-123
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    • 1994
  • A modified Hybrid learning rule(MHLR) is proposed, which is derived from combining the Back Propagation algorithm that is known as an excellent classifier with modified Hebbian by changing the orginal Hebbian which is a good feature extractor. The network architecture of MHLR is multi-layered neural network. The weights of MHLR are calculated from sum of the weight of BP and the weight of modified Hebbian between input layer and higgen layer and from the weight of BP between gidden layer and output layer. To evaluate the performance, BP, MHLR and the proposed Hybrid learning rule (HLR) are simulated by Monte Carlo method. As the result, MHLR is the best in recognition rate and HLR is the second. In learning speed, HLR and MHLR are much the same, while BP is relatively slow.

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Shape invariant recognition of korean characters with noise using wavelet SDF filter (웨이브릿 SDF 필터를 이용한 잡음을 갖는 한글의 모양불변 인식)

  • 김용규;김철수;김정우;이하운;도양회;김수중
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.7
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    • pp.147-153
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    • 1996
  • For shape invariant recognitin of korean characters iwth noise, an optical wavelet SDF filter is proposed To preserve the features of a reference image and inimize effects of a random noise in the inpt image wavelet transformed images with different dialation parameters are used. And to adapt to divese variations in the combinatorial form, eCP-SDF filter synthesis algorithm is used. The proposed optical wavelet SDF filter is the type of the matched filter so that it can use the structure of 4f optical correlation system. The computer simulation results show that the proposed filter is useful in the noisy input.

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Color image segmentation using clustering based on mathematical morphology (수학적 형태학에 기반한 클러스터링을 이용한 칼라영상의 영역화)

  • 박상호;윤일동;이상욱
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.8
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    • pp.68-80
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    • 1996
  • In this paper, we propose a novel color image segmentation algorithm based on clustering in 3-dimensional color space employing the mathematical morphology. More specifically, since we take into account the topological properties such as the shape, connectivity and distribution of clusters in the clustering process, the number of clusters in the color cube, as well as their centers, can be easily obtained, without a priori knowledge on the input images. Intensive computer simulation has been performed and the results are discussed in this paper. The resutls of the simulation on the images in various color coordinates show that the segmentation is independent of the choice of color coordinates and the shape of clustes. Segmentation results of the vector quantizer are also presented for the comparison purpose.

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