• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.8
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• pp.1-7
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• 1993

This paper proposed an algorithm that extracts the optimum characteristics parameters to identify the signatures from the spectrum using 2-D FFT. The signature image input through a scanner is normalized into 250*128 pixels in the prepocessor. Normalized image is divided into block segments and each segment is transformed into space spectrum by 2-d FFT. There are several methods extracting the signature characteristic parameters from that spectrum. The result of experimentations which use the characteristic parameters extracted between $0^{\circ}and\;90^{\circ}$ in (0, 0), (63, 0) corners from 64$\times$64 block spectrum shows that the signature identification rate using that method gives 92.5% of successful achievement for 100 signatures, higher than the others.

• The Journal of Korean Medicine
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• v.23 no.4
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• pp.9-14
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• 2002

To assess the clinical efficacy of Chungpyesagan-tang on acute stroke, we prescribed this medicine to 88 acute stroke patients without thrombolytic treatment. The rate of progressive stroke type was 2.3%, remarkably lower than in previous reports. 1.1 % felt an itching sensation, and 17.0% complaxined of loose stool and diarrhea. Chungpyesagan-tang decreased Stroke-Pattern Identification and National Institute of Health Stroke Scale (NIHSS), and increased Modified Barthel Index (MBI). Thus, we could suggest that this medicine has a desirable effect to reduce the severity of stroke and improve functional recovery. As to the laboratory findings, ALT had anupward tendency and increased over normal value in 16 cases (18.2%). However, the mean serum level 2 weeks later was within the normal value and the other hepatic enzymes did not increase.

• The Journal of Korean Medicine
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• v.25 no.1
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• pp.111-116
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• 2004

Objective : To assess the clinical efficacy of Yangkyuksanwha-tang on acute stroke Methods : We prescribed Yangkyuksanwha-tang to 83 acute stroke patients without thrombolytic treatment. Results : The rate of progressive stroke type was 1.2%, it was remarkably lower than previous reports. 3.6% felt an itching sensation, 3.6% complained headache, dizziness and powerless, 2.4% complained indigestion and diarrhea, 1.2% appeared hematuria and G-I bleeding. Yangkyuksanwha-tang decreased Stroke-Pattern Identification and National Institute of Health Stroke Scale(NIHSS), and increased Modified Barthel Index(MBI). So we could suggest that this medicine have desirable effect to reduce the severity of stroke and improve functional recovery. As to the laboratory findings, all results were within the normal value, which showed no hepatic or renal toxicity. Conclusion : We could suggest that Yangkyuksanwha-tang is a useful medicine which has clinical efficacy for acute stroke, but further investigation for an administration of more than 2 weeks is necessary.

• Transactions of The Korea Fluid Power Systems Society
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• v.1 no.3
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• pp.14-19
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• 2004

The Direct Drive Valve used in this study contains a pressure-feedback-loop in itself, then it can eliminate nonlinearity such as the square-root-term in flow rate calculation and the change of bulk modulus of hydraulic oil. In this study, assuming that the dynamic characteristic of the DDV is modelled as a first order lag system, an parameter identification method using the input data and the output data is applied to obtain DDV's mathematical model. Then, a state feedback controller was designed to implement the force control of hydraulic system, and the control performance was evaluated.

• Journal of Korea Multimedia Society
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• v.20 no.9
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• pp.1502-1508
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• 2017

A musical key is a fundamental concept in Western music theory. It is a collective characterization of pitches and chords that together create a musical perception of the entire piece. It is based on a group of pitches in a scale with which a music is constructed. Each key specifies the set of seven primary chromatic notes that are used out of the twelve possible notes. This paper presents a method that identifies the key of a song using Hidden Markov Models given a sequence of chroma features. Given an input song, a sequence of chroma features are computed. It is then classified into one of the 24 keys using a discrete Hidden Markov Models. The proposed method can help musicians and disc-jockeys in mixing a segment of tracks to create a medley. When tested on 120 songs, the success rate of the music key identification reached around 87.5%.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.396-399
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• 2009

In this paper, we present a method to define a color similarity between color images using Octree-based quantization and similar color integration. The proposed method defines major colors from each image using Octree-based quantization. Two color palettes to consist of major colors are compared based on Euclidean distance and similar color bins between palettes are matched. Multiple matched color bins are integrated and major colors are adjusted. Color histogram based on the color palette is constructed for each image and the difference between two histograms is computed by the weighted Euclidean distance between the matched color bins in consideration of the frequency of each bin. As an experiment to validate the usefulness, we discriminated the same clothing from CCD camera images based on the proposed color similarity analysis. We retrieved the same clothing images with the success rate of 88 % using only color analysis without texture analysis.

• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.501-506
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• 1998

A mathematical model is developed to describe the relationship between the manipulated variables (e.g. jacket inlet temperature and feed flow rate) and the important qualities (e.g conversion and weight average molecular weight (Mw)) in a continuous polymerization reactor. The subspace-based identification method for Wiener model is used to retrieve from the discrete sample data the accurate information about both the structure and initial parameter estimates for iterative parameter optimization methods. The comparison of the output of the identified Wiener model with the outputs of a non-linear plant model shows a fairly satisfactory degree of accordance.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.2
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• pp.209-214
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• 1998

In this paper, we are dealing with the problem of controlling unknown nonlinear dynamical system by using neural networks. A novel error self-recurrent(ESR) neural model is presented to perform black-box identification. Through the various outcome of the experiment, a new neural network is seen to be considerably faster than the BP algorithm and has advantages of being less affected by poor initial weights and learning rate. These characteristics make it flexible to design the controller in real-time based on neural networks model. In addition, we design an adaptive PID controller that Keyser suggested by using ESR neural networks, and present a method on the implementation of adaptive controller based on neural network for practical applications. We obtained good results in the case of robot manipulator experiment.

• Journal of Microbiology and Biotechnology
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• v.18 no.5
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• pp.968-974
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• 2008

Proteomic analysis led to identification of the proteins of Vibrio vulnificus that were induced upon exposure to INT-407 cells, and 7 of which belong to the functional categories such as amino acid transport/metabolism, nucleotide transport/metabolism, posttranslational modification/protein turnover/chaperones, and translation. Among the genes encoding the host-induced proteins, disruption of purH, trpD, tsaA, and groEL2 resulted in reduced cytotoxicity. The purH, trpD, and tsuA mutants showed impaired growth in the INT-407 lysate; however, the growth rate of the groEL2 mutant was not significantly changed, indicating that the possible roles of the host-induced proteins in the virulence of V. vulnificus are rather versatile.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.1 s.145
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• pp.50-58
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• 2006

Free running model tests gives us only maneuvering indices not hydrodynamic derivatives. For this reason, system identification method has been applied to the measured data to identify mathematical model describing hydrodynamic force. However It is difficult to obtain complete set of maneuvering derivatives because of strong correlation of sway velocity and yaw rate. Therefore, in this paper, we assumed that sway velocity related coefficients would be obtained by oblique towing test. and then proposed new procedure to estimate yaw related coefficients. To do this, correlation and regression analyses were carried out to establish modified model and estimate maneuvering derivatives. Also D-optimal rudder input scenario was found based on the modified model and confirmed the validity of its sufficient richness as a input scenario.