• Journal of the Optical Society of Korea
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• v.14 no.1
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• pp.33-37
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• 2010

The joint transform correlator (JTC) has been the best known technique for pattern recognition and identification. The JTC optically compares the reference image with the sample image then examines match or non-match by acquiring a correlation peak. However, the JTC technique has some problems such as weak correlation discrimination and noise which originates from the interference fringes in the Fourier transform plane. In order to solve these problems, this paper proposes a new technique of modifications of the interference fringes by adopting special iterative filters. Experimental results are presented to show that the proposed technique can successfully improve the correlation peaks and the level of discrimination.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.8C
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• pp.1025-1033
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• 2004

This paper covers the detection of covert direct sequence spread spectrum signal without the PN(Pseudo Noise) code information. Due to its low probability of interception, the difficulty of spectrum surveillance increases. Detection parameters are the signal existence of given bandwidth, the length of spreading sequence used by transmitter, and the identification of spreading code for detected chip length. The triple correlation function(TCF) value which is one of the higher order statistical signal processing techniques can be used to detect spread spectrum signal without a prior knowledge, but, it has weakness that TCF results depend on the spread data sequence in actual application. This paper proposes the new scheme that not only overcomes the weakness but also presents better performance than the traditional TCF scheme. The performance comparison of conventional TCF with proposed technique shows that the triple correlation estimator(TCE) has better detection capability.

• Journal of Oriental Neuropsychiatry
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• v.25 no.4
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• pp.351-358
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• 2014

Objectives: This study was performed to evaluate the reliability and validity of the instrument of oriental medical evaluation for Hwa-byung. Methods: 97 participants diagnosed with Hwa-byung divided into 5 pattern identifications by the instrument on pattern identifications for Hwa-byung were tested by the instrument of oriental medical evaluation for Hwa-byung twice a week. Results: The intraclass correlation coefficient of the test-retest analysis of oriental medical evaluation for Hwa-byung had over moderate agreement. The intraclass correlation coefficient of test-retest analysis of evaluation index of symptoms had moderate agreement for the total symptoms, and fair agreement for the physical and mental symptoms. The validity analysis of the instrument represented a positive correlation in the pattern identification of stagnation of liver Gi, malfunction of gallbladder due to phlegm stagnation, and disharmony between heart and kidneys. Conclusions: The results showed that the reliability analysis of the instrument of oriental medical evaluation for Hwa-byung showed over moderate agreement, and validity analysis represented a positive correlation except for the pattern identification of flare-up of liver fire and deficiency of both Gi and blood.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.141-144
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• 1999

The authors have recently developed a new method for identification of Volterra kernels of nonlinear systems by use of pseudorandom M-sequence and correlation technique. And it is shown that nonlinear systems which can be expressed by Volterra series expansion are well identified by use of this method. However, there exist many nonlinear systems which can not be expressed by Volterra series mathematically. A nonlinear system having backlash type nonliear element is one of those systems, since backlash type nonlinear element has multi-valued function between its input and output. Since Volterra kernel expression of nonlinear system is one of the most useful representations of non-linear dynamical systems, it is of interest how the method of Volterra kernel identification can be ar plied to such backlash type nonlinear system. The authors have investigated the effect of application of Volterra kernel identification to those non-linear systems which, accurately speaking, is difficult to express by use of Volterra kernel expression. A pseudorandom M-sequence is applied to a nonlinear backlash-type system, and the crosscorrelation function is measured and Volterra kernels are obtained. The comparison of actual output and the estimated output by use of measured Volterra kernels show that we can still use Volterra kernel representation for those backlash-type nonlinear systems.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.195-202
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• 2020

The ultimate goal of CSV activities is to increase consumer loyalty to the company, brand or organization concerned. Thus, for a professional sports club, CSV activities will ultimately aim to enhance the loyalty of spectators who are consumers of the club. Subjects of this study are the spectators of professional volleyball. We distributed 300 survey to people who were aware of the club's CSV activities among the home spectators of Hyundai Capital SkyWalkers. Data processing was performed using SPSS 23 and AMOS 18 for the analysis of confirmed factors, correlation analysis, reliability analysis, and structural equation model analysis. From these results, we were able to come up with the social problem resolution and long-term orientation among the CSV activities of professional volleyball clubs which affect the club identification. And the identification formed within the spectators of the clubs through CSV affects the club loyalty directly or through the medium of club emotion. Professional volleyball clubs need to identify the problems the community has in planning and proceeding with CSV activities and seek strategies to address them together, and approach them from a long-term oriented perspective.

• The Journal of Internal Korean Medicine
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• v.34 no.3
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• pp.267-277
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• 2013

Objectives : The aim of this study was to investigate the correlation between Cold-Heat pattern tendency and demographic traits, physical character, and vital signs in hypertensive patients taking anti-hypertensive agents. Methods : 28 hypertensive patients 30 to 69 years old were recruited. We assessed their general characteristics, physical characteristics (height, weight, waist circumference, etc.), vital signs without respiratory rate (blood pressure, pulse rate, temperature) and administered a Cold-Heat pattern questionnaire. After that, we analyzed statistical data on separate groups according to Cold-Heat characteristics or other criteria. Results : 1. Heat group patients had statistically higher scores in waist, body mass index (BMI), waist circumference and pulse rate. 2. Over weighted group patients had statistically lower scores in cold Pattern Identification. 3. Higher BMI group (above 23/25) patients had statistically significantly higher Heat scores and lower Cold scores, higher waist circumference group patients had lower Cold scores. Conclusions : From the above result in hypertensive patients taking hypertensive agents, Heat group had a obesity tendency and the inverse is also valid. Later, progressed study based on more samples and varied data will contribute to diagnosis the Cold-heat Pattern identification in hypertensive patients.

• Journal of the Society of Naval Architects of Korea
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• v.49 no.6
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• pp.498-503
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• 2012

Independent component analysis (ICA) technique based on statistical independency of the signals is known as suitable to identify the source signals by measuring and separating mixed signals through transfer paths and has successfully applied in the field of medical care, communications and so forth. In this study, the ICA technique is introduced for the identification of excitation sources from measured vibration signals of structures, which can be done by evaluating negentropy of centered and whitened vibration signals and correlation of separated signals. To validate the method, numerical analyses are carried out for a plate and a cylinder structure. The results show that the method can be applied efficiently to source identification of complex structures. Nevertheless, additional studies would be required to complement problems of occasional inaccuracy.

• Journal of Electrical Engineering and Technology
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• v.12 no.3
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• pp.1292-1298
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• 2017

In this paper, we represent a nonlinear identification of electronic brake pedal behavior in the brake-by-wire (BBW) system based on hybrid group method of data handling (GMDH) and genetic algorithm (GA). A GMDH is a kind of multi-layer network with a structure that is determined through training and which can express nonlinear dynamics as a mathematical model. The GA is used in the GMDH, enabling each neuron to search for its optimal set of connections with the preceding layer. The results obtained with this hybrid approach were compared with different nonlinear system identification methods. The experimental results showed that the hybrid approach performs better than the other methods in terms of root mean square error (RMSE) and correlation coefficients. The hybrid GMDH/GA approach was effective for modeling and predicting the brake pedal system under random braking conditions.

• Journal of Oriental Neuropsychiatry
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• v.25 no.4
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• pp.371-382
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• 2014

Objectives: The purpose of this study is to examine the test-retest reliability and to suggest methods to enhance reliability. Methods: Participants consisted of 145 patients with generalized anxiety disorder who were diagnosed by the Structured Clinical Interview for DSM-IV Axis I Disorders. Participants were tested twice within one week. Results: The test-retest reliability of the Instrument of Pattern Identification for Jing Ji and Zheng Chong was examined in 145 patients and it was calculated as 0.3919. Internal Reliability of each part was calculated as 0.320~0.502. Reliability and concordance rate of symptoms are presented in the table. Frequency of symptoms and correlation between weight and frequency are also presented in the table. Conclusions: Based on these results, we have modified the Instrument of Pattern Identification for Jing Ji and Zheng Chong.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.527-530
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• 1994

A method for obtaining Volterra kernels of a nonlinear system by use of pseudorandom M-sequences and correlation technique, proposed by the authors in 1993, is further analysed and some applications for identifying nonlinear system having feedback loop are shown.