• Korean Journal of Breeding Science
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• v.43 no.5
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• pp.368-374
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• 2011

Apricot (Prunus armeniaca L.) cultivars show a gametophytic self-incompatibility (GSI) system, like other fruit species of Rosaceae family. Thus, it is necessary to determine their S-genotypes in order for stable fruit set in commercial cultivation. S-genotypes of apricots were determined by PCR and test crosses. Three sets of consensus primers designed from Prunus S-RNases were used to amplify fragments containing the first and second S-RNase intron, respectively. Through the results obtained from the 3 PCRs, we could identify SI genotypes of 33apricot cultivars. Several cultivars such as 'Heiwa', 'Yamagata No.3' and 'Shinsuoomi' had the self-compatible (Sc) allele. Self-pollination tests revealed that cultivars with Sc allele were self-compatible. Cross-pollination tests confirmed that there was cross-incompatibility between the cultivars with the same S-genotypes. These results might be very useful for growers for effective pollination and for breeders using these in cross breeding programs.

• Structural Engineering and Mechanics
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• v.71 no.6
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• pp.683-697
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• 2019

The reinforced concrete (RC) structures usually suffer large residual displacements under strong motions. The large residual displacements may substantially reduce the anti-seismic capacity of structures during the aftershock and increase the difficulty and cost of structural repair after an earthquake. To reduce the adverse residual displacement, several self-centering energy dissipation braces (SCEBs) have been proposed to be installed to the RC structures. To investigate the seismic responses of the RC structures with SCEBs under the earthquake excitation, an extended Bouc-Wen model with degradation and self-centering effects is developed in this study. The extended model realized by MATLAB/Simulink program is able to capture the hysteretic characteristics of the RC structures with SCEBs, such as the energy dissipation and the degradation, especially the self-centering effect. The predicted hysteretic behavior of the RC structures with SCEBs based on the extended model, which used the unscented Kalman filter (UKF) for parameter identification, is compared with the experimental results. Comparison results show that the predicted hysteretic curves can be in good agreement with the experimental results. The nonlinear dynamic analyses using the extended model are then carried out to explore the seismic performance of the RC structures with SCEBs. The analysis results demonstrate that the SCEB can effectively reduce the residual displacements of the RC structures, but slightly increase the acceleration.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.4
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• pp.905-915
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• 2012

This paper suggests the online method to identify normal and abnormal state of water quality on the ocean USN. To define normal of the ocean water quality, we utilize the negative selection algorithm of artificial immunity system which has self and nonself identification characteristics. To distinguish abnormal status, normal state set of the ocean water quality needs to be defined. For this purpose, we generate normal state set base on mutations of each data and mutation of the data as logical product. This mutated normal (or self) sets used to identify abnormal status of the water quality. We represent the experimental result about mutated self set with the Gaussian function. Through setting the method on the ocean sensor logger, we can monitor whether the ocean water quality is normal or abnormal state by online.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.3
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• pp.279-284
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• 2004

Fingerprints have been widely used in the biometric authentication because of its performance, uniqueness and universality. Recently, the speed of identification becomes a very important point in the fingerprint-based security applications. Also, the reliability still remains the main issue in the fingerprint identification. In this paper, we propose the fast and reliable fingerprint matching algorithm based on the process of the 'self-nonself' discrimination in the biological immune system. The proposed algorithm is organized by two-matching stage. The 1st matching stage does the matching process by the use of the 'self-space' and MHC detector string set that are generated from the minutiae and the values of the directional field. Then the 2nd matching stage is made based on the local-structure of the minutiae. The proposed two matching stage reduces matching time while the reliability of the matching algorithm is maintained.

• Korean Journal of Culture and Social Issue
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• v.12 no.2
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• pp.21-43
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• 2006

This study was conducted to explore college students' implicit identification with others powerful or powerless, and implicit association of self-enhancement & authenticity with their relationships with others powerful or powerless. The study was based on measuring 3 sorts of IAT: an explicit identification test, RWA, & RISC. The results were summed up as follows: Students identified their selves with others more powerful than others powerless; expressed self-enhancement when they were with powerful others; and associated 'true' with relationship with others powerful. Men with high RWA & women with low RWA identified their selves more with others powerful; low RWA & high RISC groups' associated relationship with others powerful to 'true' and others powerless to 'false' more rapidly. These results were discussed in terms of structure of authoritarianism, SEM, relationship with others powerful and powerless.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.35-42
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• 2021

In this paper, we propose a deep learning-based person re-identification method using a three-dimensional RGB-Depth Xtion2 camera considering joint coordinates and dynamic features(velocity, acceleration). The main idea of the proposed identification methodology is to easily extract gait data such as joint coordinates, dynamic features with an RGB-D camera and automatically identify gait patterns through a self-designed one-dimensional convolutional neural network classifier(1D-ConvNet). The accuracy was measured based on the F1 Score, and the influence was measured by comparing the accuracy with the classifier model (JC) that did not consider dynamic characteristics. As a result, our proposed classifier model in the case of considering the dynamic characteristics(JCSpeed) showed about 8% higher F1-Score than JC.

• Journal of Oriental Neuropsychiatry
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• v.24 no.spc1
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• pp.23-36
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• 2013

Objectives : The purpose of this guideline is to show the evidence-based guidelines of diagnosis and evaluation of Hwabyung by the synthesis and organization of existing research contents. Methods : We investigated the existing research on the concept of Hwabyung. Further, we investigated the diagnostic tools, self-diagnostic method, symptoms assessment tools, oriental medical diagnostic methods, treatment evaluation tools and other testing methods of Hwabyung. Results : There was a Hwabyung diagnostic interview schedule (HIBDS) in the standardized measure for the diagnosis of Hwabyung. In the symptoms assessment tools of Hwabyung, there was a self-report measurement tool of Hwabyung and measurement tool of Hwabyung to be evaluated by the interviewer. In the oriental medical diagnostic method, there was an instrument of pattern identification for Hwabyung. In the treatment assessment tool, there was an instrument of oriental medical evaluation for Hwabyung. In addition, MMPI, SCL-90R, Zung's self-rating anxiety scale (SAS), Zung's self-rating depression scale (SDS), State-Trait Anger Expression Inventory (STAXI) and etc. can be used for the diagnosis and assessment of Hwabyung. Conclusions : We expect 'Clinical Guidelines for the Treatment of Hwabyung' to be useful for the diagnosis and assessment of Hwabyung.

• Composites Research
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• v.28 no.4
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• pp.197-203
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• 2015

Tensile properties of polypropylene based self-reinforced composites were investigated as a function of process variables of the double-belt lamination equipment such as pressure, temperature and cooling conditions. Elastic modulus was enhanced approximately 6 times from 0.2 to 1.2 GPa. The improvement mechanism was studied by identification of crystalline structure changes using DSC and XRD analysis. In addition, morphology change of self-reinforced composites was also investigated by SEM analysis in order to reveal the degree of impregnation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.2C
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• pp.31-40
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• 2005

we propose an enhanced self-generation supervised algorithm that by combining an ART algorithm and the delta-bar-delta method. Form the input layer to the hidden layer, ART-1 and ART-2 are used to produce nodes, respectively. A winner-take-all method is adopted to the connection weight adaption so that a stored pattern for some pattern is updated. we test the recognition of student identification, a certificate of residence, and an identifier from container that require nodes of hidden layers in neural network. In simulation results, the proposed self-generation supervised learning algorithm reduces the possibility of local minima and improves learning speed and paralysis than conventional neural networks.

• Human Ecology Research
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• v.62 no.3
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• pp.473-486
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• 2024

The purpose of this study was to conduct Latent Profile Analysis to identify the types of marriage values within each generation and explore the influence of gender, family health, and self-determination on each type. This study was conducted as an online survey through social networking sites (SNS) for the Second Generation of Baby Boomers (1965~1974), Generation X (1975~1984), Generation Y (1985~1996), and Generation Z (1997~2003). A total of 1,114 copies were used for the final analysis. Latent Profile Analysis was conducted using Mplus ver. 8.8 software to identify the types of marriage values within each generation and explore the influence of gender, family health, and self-determination on each type. The significance of this study lies in the identification of a group in each generation that holds ambivalent values about marriage. Additionally, we identified differences between gender and self-determination as variables that affect marriage values, excluding family variables. Therefore, it is significant to understand marriage values by considering generational characteristics. Based on this, it is believed that it can provide a basis for education and counseling programs related to marriage, reflecting the important variables unique to each generation.