• Journal of the Korean Geotechnical Society
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• v.21 no.3
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• pp.19-25
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• 2005

A tunnel that uses the RMR method or the Q-system is called a 'modem tunnel' because the New Austrian Tunneling Method (NATM) is not employed, even though shotcrete and rock bolts are used as support. It is known that the modem tunnel, which is supported by shotcrete, is basically different from the conventional tunnel, which is supported by steel ribs. In order to preserve the load-carrying capacity of the rock mass, loosening and excessive rock deformations must be minimized. Although it is known that this can be achieved by applying shotcrete in the case of the modem tunnel, this has not been clearly demonstrated. In order to inspect the distinctions between the conventional tunnel and the modern tunnel, their support characteristics and the rock loads of the rock mass classifications are compared. Terzaghi's rock load classification was used as the conventional tunnel's representative rock mass classification. The RMR method and the Q-system were adopted as the modem tunnel's representative rock mass classification. The study's results show that the load-carrying capacity of shotcrete, when used as the main support in the modern tunnel, is greater than the load-capacity of the steel ribs used in the conventional tunnel. Because it has been verified that the rock loads of their rock mass classifications are not different, then, according to the rock mass classifications, the load-carrying capacity of the rock mass of the modern tunnel, which uses shotcrete, is not greater than that of the conventional tunnel.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8400-8407
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• 2015

The purpose of this study was to understand the subjective perception of Related group's Concerning the Identity of Community Children Center. Q methodology was applied of the study. 23 Q-statements were created based on selected 337 statements and were classified by 40 candidates who related Community Children Center. The obtained data were analyzed by means of PC Quanl program. The result showed that the identity of Community Children Center were classified in 4 types. The types included "Type I: the leading agency for children, families and communities", "Type II: Agency that operated by dedication and commitment" "Type III: Center that complements the family" "Type IV: Systematic operational support standardization is required. In conclusion, the results of the data revealed the importance of the various recognition-types of individuals related to the identity of the community children's center.

• Journal of Korean Academy of Nursing
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• v.22 no.3
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• pp.389-406
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• 1992

This study was designed to identify nursing students' attitudes toward life through a Q-methodology. A Q-sample was formed through a review of the literature and interviews(n＝160)l The final Q-sample consisted of 37 statements out of an initial 100 statements after consultation with an expert panel and pilot testing. The P-sample consisted of 14 university nursing students and 27 junior college nursing students, which was selected by convenience sampling method. Data were analyzed by the Q-analysis method. The correlation between type 2 and type 3 was relatively high (r＝0.539) ; that between type 1 and type 3 was lowest (r＝0.014). The first type of attitude was the “rational utilitarian” type. Students in this type valued life relative to the quality of life. They agreed with euthanasia and artificial abortion if the quality of life was threatened. The criteria for their judgement were scientific knowledge and rationality. The second type of attitude was the “Christian deontologic” type. These students appreciated the sanctity of life according to Christian dogma. They disagreed with euthanasia and artficial abortion. And they disagreed strongly that life should be created by scientific development, because only God creates life. The third type of attitude was the “unconditional deontologic” type. These students agreed with the sanctity of life, not from Christian belief but from belief in the sanctity of life. The final type of attitude was the “prima facie(conditional) deonologic” type. These students appreciated the value of life and humanity. They expressed concern for others' life and suffering. They do not want to afflict others with their own miseries. This group showed a dual value system toward themselves and others. So they experience conflict between their concern for their on and others' conditions. These nursing students' values may have been influenced by their clinical experience in hospitals and other nursing fields. Through this study, we may realize the importance of education in nursing ethics for discussion of ethical conflicts and to support ethical nursing practice.

• The KIPS Transactions:PartC
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• v.13C no.5 s.108
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• pp.659-668
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• 2006

Various schemes for mobility support are currently proposed in NGN. However the performance comparison of all existing schemes is not relatively examined as yet. Therefore, in this paper, we investigate the location registration and handover procedure of MIPv6, IP2, Q.MMF, IMS, compare and analyze the location registration time and cost and handover latency time using various performance parameters and simulation for the performance analysis. As a result of analysis, when Location Manager locates in the center of core network, IP2 showed better performance than other schemes.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.4 no.1
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• pp.9-16
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• 2011

In this paper, we propose an efficience transcoder architecture to support a simutaneous multibitrate output. First, we discuss about some architectures to realize this feature. Next, we explain the proposed architecture, it shares not only VLD-IQ but alse Q-VlD which have the same quantization step sizes each other. We anlyze the numbers of Q-VLC times per on Macroblock to the investigate an effect of sharing, and evaluate its computation complexity. The result of simulation, that complexity has an upper limit and it cn support any numbers of bitstream by about 3~6 times complexity than single output.

• Journal of Child Welfare and Development
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• v.16 no.2
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• pp.1-23
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• 2018

The purpose of this study is to clarify the characteristics of school adolescents social capital by using Q methodology, to improve the adaptation of adolescents to school, and to contribute to the theory of social capital. As a result of the analysis, five types were derived. Type I was abundance, type II was family ceremony type, type III was discipline, type IV was exchange type, type V was trust type'. Based on the above five types, the characteristics of the social capital types of school adolescents are as follows: First, Type I includes social capital elements in various areas with abundant social capital elements relative to other types. Second, Type III is the weakest type of support among family members among the social capital elements in the family. Emotional interactions in parent - child relationship are cut off. Type II, however, is more emotional Support is the strongest type. Third, types II, IV, and V are parents love and affection for their children and they are very interested in children. Types III, IV, and V are parents It can be seen that it acts as a guide and an advisor. Finally, we can see that the five commonalities share a minimum parental interest in children.

• Tunnel and Underground Space
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• v.13 no.4
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• pp.279-286
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• 2003

Many trials to set up the correlation between the rock mass classification and the earth resistivity have been carried out to design tunnel support type based on the interpreted electrical resistivity acquired by surface electrical survey. But it is hard to find reports on the comparison of the real rock support type determined during the excavation with the electrical resistivity by the inversion of the survey data acquired before the tunneling. In this study, the rock mass classification based on the face mapping data and the resistivity inversion data are investigated to see if it is possible to design reliably the rock support type based on the surface electrical survey. To get the quantitative correlation, rock engineering indices such as RCR(rock condition rating), N(Rock mass number), Q-system and RMR(rock mass rating) are calculated. Since resistivity data has low resolution, Kriging method as a post processing technique which minimizes the estimated variance is used to improve resolution. The result of correlation analysis shows that the 2D electrical resistivity survey is appropriate to see the general trend of the geology in the sense of rock type, though there might be some local area where these two factors do not coincide. But the correlation between the result of 3D survey and the rock mass classification turns out to be very high, and then 3D electrical resistivity survey can make it possible to set up more reliable rock support type.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.29-37
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• 2019

Textile quality management targets the physical properties of fabrics and the subjective discriminations of color and fitting. Color is the most representative quality factor that consumers can use to evaluate quality levels without any instruments. For this reason, quantification using a color discrimination device has been used for statistical quality management in the textile industry. However, small and medium-sized domestic textile manufacturers use only visual inspection for color discrimination. As a result, color discrimination is different based on the inspectors' individual tendencies and work procedures. In this research, we want to develop a textile industry-friendly quality management method, evaluating the possibility of rapid color discrimination using a digital imaging device, which is one of the office-automation instruments. The results show that an imaging process-based color discrimination method is highly correlated with conventional color discrimination instruments ($R^2=0.969$), and is also applicable to field discrimination of the manufacturing process, or for different lots. Moreover, it is possible to recognize quality management factors by analyzing color components, ${\Delta}L$, ${\Delta}a$, ${\Delta}b$. We hope that our rapid discrimination method will be a substitute technique for conventional color discrimination instruments via elaboration and optimization.

• Journal of the Korean Chemical Society
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• v.58 no.6
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• pp.543-552
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• 2014

A quantitative structure activity relationship (QSAR) study is performed for modeling and prediction of oral bioavailabilities of 216 diverse set of drugs. After calculation and screening of molecular descriptors, linear and nonlinear models were developed by using multiple linear regression (MLR), artificial neural network (ANN), support vector machine (SVM) and random forest (RF) techniques. Comparison between statistical parameters of these models indicates the suitability of SVM over other models. The root mean square errors of SVM model were 5.933 and 4.934 for training and test sets, respectively. Robustness and reliability of the developed SVM model was evaluated by performing of leave many out cross validation test, which produces the statistic of $Q^2_{SVM}=0.603$ and SPRESS = 7.902. Moreover, the chemical applicability domains of model were determined via leverage approach. The results of this study revealed the applicability of QSAR approach by using SVM in prediction of oral bioavailability of drugs.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1271-1278
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• 2017

Although the $L_0$-penalty is the most natural choice to identify the sparsity structure of the model, it has not been widely used due to the computational bottleneck. Recently, the adaptive ridge procedure is developed to efficiently approximate a $L_q$-penalized problem to an iterative $L_2$-penalized one. In this article, we proposed to apply the adaptive ridge procedure to solve the $L_0$-penalized weighted support vector machine (WSVM) to facilitate the corresponding optimization. Our numerical investigation shows the advantageous performance of the $L_0$-penalized WSVM compared to the conventional WSVM with $L_2$ penalty for both simulated and real data sets.