• Title/Summary/Keyword: 표적 추정

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Cerebral activation related with morphological priming effect in production of Korean Endings (한국어 어말어미 산출관련 대뇌 활성화)

  • Hwang, Yu-Mi;Shin, Jung-Moo;Lim, Soo-Mee;Ryu, Keun-Taek;Khang, Hyun-Soo;Yi, Kwang-Oh;Nam, Ki-Chun
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2005.05a
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    • pp.273-277
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    • 2005
  • 본 연구는 한국어 어말어미 산출시 나타나는 대뇌 활성화 영역을 살펴보기 위하여 실시되었다. 두 가지 실험이 실시되었다 실험 1은 어말어미의 기본형을 주고 이를 의문형, 명령형으로 산출하는 고립단어 실험을 실시하였다. 통제 조건으로 모음변환조건(C1)과 아라비아문자보기(C2)를 사용하였다. 실험 1의 결과 ‘어말어미-C1’ 조건에서 좌반구의 측두엽과 전두엽부분의 의 활성화 superior temporal gyrus와 inferior frontal gyrus의 활성화가 관찰되었다. ‘어말어미-C2’ 의 조건에서 우반구에서 후두엽의 활성화와 좌반구에서의 후두엽, 전두엽, lingual G, Cuneus, fusiform G, inferior occipital G에서의 활성화를 관찰할 수 있었다. 실험 2는 명령형과 의문형 어미의 형태점화효과와 관련된 대뇌 활성화 영역을 관찰하기 위하여 Er-fMRI 기법을 이용하여 실시되었다. 실험 조건은 어미동일조건, 어간반복조건, 무관련 조건으로 구성되었다. 피험자들은 점화자극이 제시된 후 신호가 제시되고 나오는 표적단어를 의문형 또는 명령으로 산출하도록 하는 과제를 실시하였다. 뇌 활성화 영역을 분석한 결과 의문형과 명령형을 산출할 때의 활성화 영역에서 $^{\ast}^{\ast}^{\ast}$를 볼 때의 영역을 빼기 (substraction)한 결과 공통적으로 좌반구 브로카 영역이 활성화되었고, 의문형과 명령형 안에서 어미동일조건에서 무관련 조건을 뺀 경우에는 좌반구의 superior temporal G 영역의 활성화가 관찰되었다. 이들 결과를 종합해 볼 때 어말어미 산출 그 자체와 직접 관련되는 영역으로는 좌반구의 측두엽과 전두엽 부분이 관찰되었다. 특히 한국어 어말어미 산출시 나타나는 형태점화 양상과 관련된 대뇌영역으로 발견된 브로카 영역에서의 활성화는 어미 변환과 관련된 영역이라기보다는 산출시 관련되는 articulation, motor coordinate관련 영역으로 추정되고, 측두엽의 활성화는 형태소, 의미 관련 지식의 data base로 추정된다. 또한 우반구 전두엽 부분에서 관찰된 활성화는 억제관련 영역으로 짐작된다.

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SCK Tumor Cell Killing by Hyperthermia in the Presence of Heat Protector and Heat Sensitizer (열보호제와 열증감제의 존재하에서 온열처리에 의한 SCK 종양세포의 치사기작)

  • 강만식;서미영;정주영
    • The Korean Journal of Zoology
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    • v.32 no.2
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    • pp.134-141
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    • 1989
  • The present investigation aims at elucidating a possible mechanism of heat inactivation of SCK ceils by comparing the kinetics of cell lethality and protein degradation in the presence of heat protector or heat sensitizer. The effect of heat sensitizer and protector was exhibited in both cell survival and protein degradation kinetics, the magnitude of the effect being much profound for the protector compared to the sensitizer. A conclusion to he drawn from the present experiment is that there is no direct correlation between cell lethality and protein degradation. Rather, protein degradation, which might occur in the membrane, causes cell inactivation indirectly, possibly by altering the cellular environment. Accordingly, further studies are needed to get insight into the mechanism of cell inactivation by hyperthermia.

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Fast 2-D Moving Target Tracking Algorithm (Fast 2차원 동 표적 추적 알고리즘)

  • Kim, Gyeong-Su;Lee, Sang-Uk;Song, Yu-Seop
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.1
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    • pp.75-85
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    • 1985
  • We have studied on the 2-D moving target tracking algorithm satisfying a real-time hardware implementation requirement. In this paper, a fast algorithm is developed based on the operator formulation and the variational algorithm f 10] . Here, we use the directed search for the maximum of the cross-correlation in order to obtain an initial estimate for the variational algorithm and decompose the scene into 16 smaller subblocks and apply the variational algorithm to each subblock sequentially with a new moving area detection method. We call the algorithm subblock based recursive algorithm. Compared with (10) , the ratio of the computational savings obtained from the proposed algorithm is 7 on the average.

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Development of Novel on-line Landweber Algorithm for Image Reconstruction in Electrical Impedance Tomography (전기 임피던스 단층촬영법에서 영상 복원을 위한 새로운 on-line Landweber 알고리즘 개발)

  • Kim, Bong Seok;Kim, Sin;Kim, Kyung Youn
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.293-299
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    • 2012
  • Electrical impedance tomography is an imaging modality for determining the electrical properties inside a domain. Small currents are injected and the resulting voltages are measured through the electrodes. The internal electrical properties are reconstructed based on these voltage and current data. In this paper, a novel on-line Landweber algorithm was developed to fast estimate the resistivity distribution in the inverse calculation. Additionally, to enhance the reconstruction performance, a step-length was computed from the eigenvalue of the weighting matrix. The numerical experiments have been performed to evaluate the reconstruction performance of the proposed method.

PGA Implementation Technique for Stripmap SAR Signal Processing (Stripmap SAR 신호처리를 위한 PGA 적용 기법)

  • Yoon, Sang-Ho;Koh, Bo-Yeon;Kong, Young-Kyun;Shin, Hee-Sub
    • Korean Journal of Remote Sensing
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    • v.27 no.2
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    • pp.151-161
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    • 2011
  • PGA(Phase Gradient Autofocus) is a representative autofocus technique to improve the SAR(Synthetic Aperture Radar) image quality. PGA can estimate high order phase errors and have good robustness in noisy environments. However, PGA is not suitable to apply to the stripmap mode data directly because it is based on the spotlight mode operation. In this paper, the PGA implementation technique for stripmap mode data and the method of ROI(Region of Interest) selection that affects severely on PGA performance have been proposed. The proposed technique was verified by the point target simulation first, and was applied to the real SAR signal data acquired by the flight test. Finally, the significant improvements in focusing quality were shown in the processed SAR images using the proposed method.

A MAP Estimate of Optimal Data Association in Multi-Target Tracking (다중표적추적의 최적 데이터결합을 위한 MAP 추정기 개발)

  • 이양원
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.3
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    • pp.210-217
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    • 2003
  • We introduced a scheme for finding an optimal data association matrix that represents the relationships between the measurements and tracks in multi-target tracking (MIT). We considered the relationships between targets and measurements as Markov Random Field and assumed a priori of the associations as a Gibbs distribution. Based on these assumptions, it was possible to reduce the MAP estimate of the association matrix to the energy minimization problem. After then, we defined an energy function over the measurement space that may incorporate most of the important natural constraints. To find the minimizer of the energy function, we derived a new equation in closed form. By introducing Lagrange multiplier, we derived a compact equation for parameters updating. In this manner, a pair of equations that consist of tracking and parameters updating can track the targets adaptively in a very variable environments. For measurements and targets, this algorithm needs only multiplications for each radar scan. Through the experiments, we analyzed and compared this algorithm with other representative algorithm. The result shows that the proposed method is stable, robust, fast enough for real time computation, as well as more accurate than other method.

TDOA Based Moving Target Velocity Estimation in Sensor Network (센서네트워크 내에서 TDOA 측정치 기반의 이동 표적 속도 정보 추정)

  • Kim, Yong Hwi;Park, Min Soo;Park, Jin Bae;Yoon, Tae Sung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.3
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    • pp.445-450
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    • 2015
  • In the moving target problem, the velocity information of the moving target is very important as well as the high accuracy position information. To solve this problem, active researches are being conducted recently with combine the Time Difference of Arrival (TDOA) and Frequency Delay of Arrival(FDOA) measurements. However, since the FDOA measurement is utilizing the Doppler effect due to the relative velocity between the target source and the receiver sensor, it may be difficult to use the FDOA measurement if the moving target speed is not sufficiently fast. In this paper, we propose a method for estimating the position and the velocities of the target by using only the TDOA measurements for the low speed moving target in the indoor environment with sensor network. First, the target position and heading angle are obtained from the estimated positions of two attached transmitters on the target. Then, the target angular and linear velocities are also estimated. In addtion, we apply the Instrumental Variable (IV) technique to compensate the estimation error of the estimated target velocity. In simulation, the performance of the proposed algorithm is verified.

Maneuvering Target Tracking Using Modified Variable Dimension Filter with Input Estimation (수정된 가변차원 입력추정 필터를 이용한 기동표적 추적)

  • 안병완;최재원;황태현;송택렬
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.11
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    • pp.976-983
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    • 2002
  • We presents a modified variable dimension filter with input estimation for maneuvering target tracking. The conventional variable dimension filter with input estimation(VDIE) consists of the input estimation(IE) technique and the variable dimension(VD) filter. In the VDIE, the IE technique is used for estimation of a maneuver onset time and its magnitude in the least square sense. The detection of the maneuver is declared according to the estimated magnitude of the maneuver. The VD filter structure is applied for the adaptation to the maneuver of the target after compensating the filter parameter with respect to the estimated maneuver when the detection of the maneuver is declared. The VDIE is known as one of the best maneuvering target tracking filter based on a single filter. However, it requires too much computational burden since the IE technique is performed at every sampling instance and thus it is computationally inefficient. We propose another variable dimension filter with input estimation named 'Modified VDIE' which combines VD filter with If technique. Modified VDIE has less computational load than the original one by separating maneuver detection and input estimation. Simulation results show that the proposed VDIE is more efficient and outperforms in terms of computational load.

Batch Time Interval and Initial State Estimation using GMM-TS for Target Motion Analysis (GMM-TS를 이용한 표적기동분석용 배치구간 및 초기상태 추정 기법)

  • Kim, Woo-Chan;Song, Taek-Lyul
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.3
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    • pp.285-294
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    • 2012
  • Using bearing measurement only, target motion state is not directly obtained so that TMA (Target Motion Analysis) is needed for this situation. TMA is a nonlinear estimation technique used in passive SONAR systems. Also it is the one of important techniques for underwater combat management systems. TMA can be divided to two parts: batch estimation and sequential estimation. It is preferable to use sequential estimation for reducing computational load as well as adaptively to target maneuvers, batch estimation is still required to attain target initial state vector for convergence of sequential estimation. Selection of batch time interval which depends on observability is critical in TMA performance. Batch estimation in general utilizes predetermined batch time interval. In this paper, we propose a new method called the BTIS (Batch Time Interval and Initial State Estimation). The proposed BTIS estimates target initial status and determines the batch time interval sequentially by using a bank of GMM-TS (Gaussian Mixture Measurement-Track Splitting) filters. The performance of the proposal method is verified by a Monte Carlo simulation study.

Analysis of Anti-Allergic Activities by Extracts from Persimmon Sap-Stained Rayon and Cotton Fabrics (감물염색 직물의 추출물에 의한 항알러지 활성의 분석)

  • Lee, Sang-Han
    • Journal of Life Science
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    • v.20 no.5
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    • pp.794-798
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    • 2010
  • Allergic dermatitis is one of the most prevalent diseases in young/juvenile children worldwide. In this research, extracts with persimmon sap-stained fabrics (rayon and cotton) exhibited an elevation in $CD4^+$ cell numbers. MMP-2 and MMP-9 expressions by Hematoxylin-Eosin staining and immunohistochemistry revealed that the expressions were decreased by addition of the extracts. The present results collectively suggest that the active ingredients of persimmon sap-stained fabrics play an important role in inhibition of DNFB-induced-atopic symptoms in vivo.