• Title/Summary/Keyword: single target

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A Simple Method for Generation of Homologous Internal Standards for Competitive PCR

  • Choi, Eu-Na;Hahn, Sung-Sik;Choi, Kyung-Hee;Na, Doe-Sun
    • BMB Reports
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    • v.29 no.5
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    • pp.481-483
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    • 1996
  • In competitive PCR, which is used to quantify target DNA an internal standard is needed. Here we present a simple method to construct homologous competitive standards. The method, which is based upon deletion of a portion of the target DNA, does not require any additional primers. This is the simplest method developed thus far to construct a competitive standard. The whole procedure. from construction of a competitive standard to quantitation by PCR, can be completed within a single day.

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Design and Implementation of a Face Recognition System-on-a-Chip for Wearable/Mobile Applications

  • Lee, Bongkyu
    • Journal of Korea Multimedia Society
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    • v.18 no.2
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    • pp.244-252
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    • 2015
  • This paper describes the design and implementation of a System-on-a-Chip (SoC) for face recognition to use in wearable/mobile products. The design flow starts from the system specification to implementation process on silicon. The entire process is carried out using a FPGA-based prototyping platform environment for design and verification of the target SoC. To ensure that the implemented face recognition SoC satisfies the required performances metrics, time analysis and recognition tests were performed. The motivation behind the work is a single chip implementation of face recognition system for target applications.

Ensemble of Classifiers Constructed on Class-Oriented Attribute Reduction

  • Li, Min;Deng, Shaobo;Wang, Lei
    • Journal of Information Processing Systems
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    • v.16 no.2
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    • pp.360-376
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    • 2020
  • Many heuristic attribute reduction algorithms have been proposed to find a single reduct that functions as the entire set of original attributes without loss of classification capability; however, the proposed reducts are not always perfect for these multiclass datasets. In this study, based on a probabilistic rough set model, we propose the class-oriented attribute reduction (COAR) algorithm, which separately finds a reduct for each target class. Thus, there is a strong dependence between a reduct and its target class. Consequently, we propose a type of ensemble constructed on a group of classifiers based on class-oriented reducts with a customized weighted majority voting strategy. We evaluated the performance of our proposed algorithm based on five real multiclass datasets. Experimental results confirm the superiority of the proposed method in terms of four general evaluation metrics.

THE ANALYSIS OF ADEOS / POLDER DATA

  • Kawata, Yoshiyuki;Izumiya, Toshiaki;Takano, Yuichi;Yamazaki, Akihiro
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.231-235
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    • 1998
  • We have made the cross calibration in terms of space reflectance between POLDER and OCTS sensors on board ADEOS satellite, using the POLDER and OCTS data acquired simultaneously on April 24, 1997. The space reflectance values for the same target computed from the POLDER and OCTS data are in very good agreement, when we adopted the new calibration coefficients of OCTS suggested by the vicarious experiment by NASDA. Then, we estimated aerosol parameters for several target areas (two areas in the Sea of Japan and three in the Pacific Ocean) from ADEOS/POLDER's directional reflectance and polarization data in 760nm and 865nm bands. A single atmospheric layer model with an isotropic Gaussian type ocean surface (Cox-Munk model) was assumed in this study.

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Investigation of Polarimetric SAR Remote Sensing for Landslide Detection Using PALSAR-2 Quad-pol Data

  • Cho, KeunHoo;Park, Sang-Eun;Cho, Jae-Hyoung;Moon, Hyoi;Han, Seung-hoon
    • Korean Journal of Remote Sensing
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    • v.34 no.4
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    • pp.591-600
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    • 2018
  • Recent SAR systems provide fully polarimetric SAR data, which is known to be useful in a variety of applications such as disaster monitoring, target recognition, and land cover classification. The objective of this study is to evaluate the performance of polarization SAR data for landslide detection. The detectability of different SAR parameters was investigated based on the supervised classification approach. The classifier used in this study is the Adaptive Boosting algorithms. A fully polarimetric L-band PALSAR-2 data was used to examine landslides caused by the 2016 Kumamoto earthquake in Kyushu, Japan. Experimental results show that fully polarimetric features from the target decomposition technique can provide improved detectability of landslide site with significant reduction of false alarms as compared with the single polarimetric observables.

A Study on Target Recognition Method for Robotic Totalstation assisted by GPS (GPS에 의한 지상측량장비(로봇 토탈스테이션) 타겟유도에 관한 연구)

  • Tcha, Dek-Kie;Lee, In-Su;Kim, Su-Jeong
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2009.04a
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    • pp.129-132
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    • 2009
  • Automatic target recognition surveying method is very important technology one-man surveying system. But in the case of loss of prism's position, it have to be re-tracking for searching it, consuming the searching time and complicated in processing. In this study, it is proposed new GPS receiver combination technology for orientation of both. In conclusion, the robotic TS(totalstation) is well assisted by absolute coordinates from single GPS receiver and multi-functional surveying instrument.

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Test Generation for Speed-Independent Asynchronous Circuits with Undetectable Faults Identification

  • Eunjung Oh;Lee, Dong-Ik;Park, Ho-Yong
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.359-362
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    • 2000
  • In this paper, we propose a test pattern generation algorithm on the basis of the identification of undetectable faults for Speed-Independent(SI) asynchronous control circuits. The proposed methodology generates tests from the specification of a target circuit, which describes the behavior of the circuit in the form of Signal Transition Graph (STG). The proposed identification method uses only topological information of a target circuit and reachability information of a fault-free circuit, which is generated in the form of Binary Decision Diagram(BDD) during pre-processing. Experimental results show that high fault coverage over single input stuck-at fault model is obtained for several synthesized SI circuits and the use of the identification process as a preprocessing decreases execution time of the proposed test generation with negligible costs.

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Visual Tracking using Weighted Discriminative Correlation Filter

  • Song, Tae-Eun;Jang, Kyung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.11
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    • pp.49-57
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    • 2016
  • In this paper, we propose the novel tracking method which uses the weighted discriminative correlation filter (DCF). We also propose the PSPR instead of conventional PSR as tracker performance evaluation method. The proposed tracking method uses multiple DCF to estimates the target position. In addition, our proposed method reflects more weights on the correlation response of the tracker which is expected to have more performance using PSPR. While existing multi-DCF-based tracker calculates the final correlation response by directly summing correlation responses from each tracker, the proposed method acquires the final correlation response by weighted combining of correlation responses from the selected trackers robust to given environment. Accordingly, the proposed method can provide high performance tracking in various and complex background compared to multi-DCF based tracker. Through a series of tracking experiments for various video data, the presented method showed better performance than a single feature-based tracker and also than a multi-DCF based tracker.

Estimation of Fermentation State and Metabolic Stoichiometry of Kyuywomyces marxianus (Krupwomyces marxianus의 발효상태 및 대사 양론식 추정)

  • 류두현
    • KSBB Journal
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    • v.8 no.3
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    • pp.272-281
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    • 1993
  • State varibles were estimated for fermentations of K. marxianus under various dilution rates and dissolved oxygen concentrations. The number of elementary reaction stoichiometry with fixed coefficients was determined by singular variable decomposition. Stoichiometry with feasible physical meaning was obtained by target factor analysis. States of fermentations were estimated by linear quadratic programming. The process conditions of single cell production to maximize carbon source consumption were suggested.

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Time-Frequency Analysis of the Doppler Signals by Moving Targets (이동 표적에 의한 도플러 신호의 시간-주파수 분석)

  • Son, Joong-Tak;Lee, Seung-Houn;Park, Kil-Houm
    • Journal of the Korea Institute of Military Science and Technology
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    • v.8 no.2 s.21
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    • pp.38-48
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    • 2005
  • Instantaneous frequency of doppler signals is used to get the information of the relative velocity and the miss distance between a missile and a corresponding target. In this paper, we have performed time-frequency analysis and instantaneous frequency estimation with Short Time Fourier Transform(STFT), Wigner Ville Distribution(WVD) and Continuous Wavelet Transform(CWT) about the doppler signals generated by moving targets. Performance evaluation was performed using simulated doppler signals generated by a single moving target and two moving targets. From the results of the time-frequency analysis, we found that WVD method was the most efficient instantaneous frequency estimator among the three methods. But in case of two moving targets, WVD method got cross talks and CWT method got oscillation when two doppler frequencies were close to each other.