• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1537-1545
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• 2015

Support vector quantile regression (SVQR) can be obtained by applying support vector machine with a check function instead of an e-insensitive loss function into the quantile regression, which still requires to solve a quadratic program (QP) problem which is time and memory expensive. In this paper we propose an SVQR whose objective function is composed of an asymmetric quadratic loss function. The proposed method overcomes the weak point of the SVQR with the check function. We use the iterative procedure to solve the objective problem. Furthermore, we introduce the generalized cross validation function to select the hyper-parameters which affect the performance of SVQR. Experimental results are then presented, which illustrate the performance of proposed SVQR.

• Proceedings of the KIEE Conference
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• 2006.04b
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• pp.344-346
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• 2006

In this paper, a novel algorithm for increasing the steady state efficiency during light load operation of the induction generator that integrated with a wind power generation system is presented. The proposed algorithm based on the flux level reduction, where the flux level is estimated using Support-Vector -Machines for regression (SVR) for the optimum d-axis current of the generator. SVR is trained off-line to estimate the unknown mapping between the system's inputs and outputs, and then is used online to calculate the optimum d-axis current for minimizing generator loss. The experimental results show that SVR can define the flux-power loss accurately and determine the optimum d-axis current value precisely. The loss minimization process is more effective at low wind speed and the percent of power saving can approach to 40%.

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.161-173
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• 1999

The purpose of this study was to develope and test the structural model for quality of life in women having hysterectomies. A hypothetical model was constructed on the basis of previous studies and a review of literature. The conceptual framework was built around eight constructs. Exogenous variables included in this model were marital intimacy, importance of uterus, professional support, positive coping behavior and pre-operative symptoms. Endogenous variables were spouse's support, sense of loss and quality of life. Empirical data for testing the hypothetical model was collected using a self-report questionnare from 203 women having hysterectomies at the outpatient clinics of four general hospitals and a mail survey in Pusan City. The Data was collected from December, 1997 to January, 1998. Reliability of the eight instruments was tested with Cronbach's alpha which ranged from 0.639-0.915. For the data analysis, SPSS 7.5 WIN Program and LISREL 8.12 WIN Program were used for descriptive statistics and covariance structural analysis. The results of covariance structure analysis were as follows : 1. Hypothetical model showed a good fit with the empirical data. ［$\chi$$^2$＝6.93(df＝5, P＝.23), GFI＝.99, AGFI＝.94, RMSR＝.019, NNFI＝.97, NFI＝.98, CN＝440, standardized residuals(-2.14-2.10)］ 2. For the parsimony of model, a modified model was constructed by deleting 3 paths and adding 1 path according to the criteria of statistical significance and meaning. 3. The modified model also showed a good fit with the data. ［$\chi$$^2$＝5.26(df＝7, P＝.63), GFI＝.99, AGFI＝.97, RMSR＝.014, NNFI＝1.02, NFI＝.99, CN＝710, standardized residuals(-1.46-1.70)］ Results of the testing of the hypothesis were as follows : 1. Marital intimacy(${\gamma}$11＝.78, t＝14.37) and professional support(${\gamma}$13＝.12, t＝2.12) had a significant direct effect on the spouse's support. 2. Pre-operative symptoms(${\gamma}$25＝.32, t＝3.12), importance of uterus(${\gamma}$22＝.20, t＝2.61) and spouse's support($\beta$2l＝-.19, t＝-2.43) had a significant direct effect on the sense of loss. 3. Sense of loss($\beta$32＝-.66, t＝-9.83) had a direct effect on the quality of life. Marital intimacy had a direct(${\gamma}$31＝.19, t＝3.33), indirect(${\gamma}$31＝.14, t＝2.52) and total effect(${\gamma}$31＝.25, t＝4.41) on the quality of life. Professional support had a direct effect(${\gamma}$33＝.11, t＝2.07) and total effect(${\gamma}$33＝.13, t＝2.31) on the quality of life. The direct effect of pre-operative symptoms(${\gamma}$35＝-.36, t＝4.02) and positive coping behavior(${\gamma}$34＝.15, t＝2.06) had the insignificant effect on the quality of life while, due to the idirect effect these variables had overall significant effect on the quality of life. The results of this study showed that the sense of loss had the most significant direct effect on the quality of life. Marital intimacy, pre -operative symptoms and spouse's support had a significant direct effect on this sense of loss. These four variables, the sense of loss, marital intimacy, pre-operative symptoms and spouse's support, were identified as relatively important variables. The results of this study suggested that there is needed to determine if nursing intervention would alleviate this sense of loss and promote a greater quality of life in women who have had hysterectomies.

• ETRI Journal
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• v.38 no.6
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• pp.1064-1073
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• 2016

An adaptive speech streaming method to improve the perceived speech quality of a software-based multipoint control unit (SW-based MCU) over IP networks is proposed. First, the proposed method predicts whether the speech packet to be transmitted is lost. To this end, the proposed method learns the pattern of packet losses in the IP network, and then predicts the loss of the packet to be transmitted over that IP network. The proposed method classifies the speech signal into different classes of silence, unvoiced, speech onset, or voiced frame. Based on the results of packet loss prediction and speech classification, the proposed method determines the proper amount and bitrate of redundant speech data (RSD) that are sent with primary speech data (PSD) in order to assist the speech decoder to restore the speech signals of lost packets. Specifically, when a packet is predicted to be lost, the amount and bitrate of the RSD must be increased through a reduction in the bitrate of the PSD. The effectiveness of the proposed method for learning the packet loss pattern and assigning a different speech coding rate is then demonstrated using a support vector machine and adaptive multirate-narrowband, respectively. The results show that as compared with conventional methods that restore lost speech signals, the proposed method remarkably improves the perceived speech quality of an SW-based MCU under various packet loss conditions in an IP network.

• Journal of the Korean Statistical Society
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• v.36 no.3
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• pp.367-372
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• 2007

Classification as a tool to extract information from data plays an important role in science and engineering. Among various classification methodologies, support vector machine has recently seen significant developments. The central problem this paper addresses is the accuracy of support vector machine. In particular, we are interested in the situations where fast rates of convergence to the Bayes risk can be achieved by support vector machine. Through learning examples, we illustrate that support vector machine may yield fast rates if the space spanned by an adopted kernel is sufficiently large.

• The Journal of Korean Academy of Prosthodontics
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• v.58 no.2
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• pp.153-160
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• 2020

Gradual tooth wear is a natural process of aging, but pathological wear over physiologic ranges leads to functional and esthetic problems. The loss of posterior support may cause pathological wear of anterior teeth, which results in reduction of vertical dimension and disharmony of occlusal plane. To solve this problem, determination of proper vertical dimension considering centric relation is necessary. This case report presented 71-year-old male, who had the severe wear of lower anterior teeth due to loss of posterior support. By meticulous evaluation, a full mouth rehabilitation with elevation of vertical dimension was planned. After 8 months of follow-up, stable occlusal scheme is maintained and patient was satisfied with clinical outcome functionally and esthetically.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.321-330
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• 2023

The Korean military has sought to build an all-round military force against the national and international security environment and future asymmetric threats as well as the military threats it faces. However, while raising the need for timely electrification, there are few cases of quantitatively evaluating the loss when electrification is delayed, making it difficult for our military to provide a logical basis to support the importance of the electrification period. Therefore, through this study, we tried to analyze the index of loss cost that can support the need for timely electrification with logical and quantitative data and present it as a logical basis. To this end, the loss cost was calculated in terms of combat efficiency, equipment utilization rate, and maintenance requirements, which can be quantitatively calculated based on "combat readiness," a general impact on the military in case of delayed timely electrification.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.5B no.3
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• pp.238-242
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• 2005

In this paper, a surface permanent magnet motor made of the Soft Magnetic Composites (SMC) is analysed using the 3-D finite element method. By comparing with the motor made of the silicon steel sheets, the usefulness of the SMC for the eddy current loss is clarified quantitatively.

• Journal of Power Electronics
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• v.8 no.4
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• pp.345-353
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• 2008

In this paper, a novel loss minimization of an induction generator in wind energy generation systems is presented. The proposed algorithm is based on the flux level reduction, for which the generator d-axis current reference is estimated using support vector regression (SVR). Wind speed is employed as an input of the SVR and the samples of the generator d-axis current reference are used as output to train the SVR algorithm off-line. Data samples for wind speed and d-axis current are collected for the training process, which plots a relation of input and output. The predicted off-line function and the instantaneous wind speed are then used to determine the d-axis current reference. It is shown that the effect of loss minimization is more significant at low wind speed and the loss reduction is about to 40% at 4[m/s] wind speed. The validity of the proposed scheme has been verified by experimental results.

• Korean Journal of Human Ecology
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• v.21 no.1
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• pp.41-58
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• 2012

The purpose of this study was to compare the job loss and job seeking experiences between middle-aged men and their younger cohort. Participants included 11 middle-aged unemployed men and nine younger unemployed men. The study adopted a phenomenological approach. In-depth individual interviews were carried out and the theme analysis was used to analyze the interview data. The results showed that the two cohorts experienced the macroeconomic crises, the foreign exchange crisis in 1997 and the global financial crisis in 2008, differently. Their experiences affected their attribution of the unemployment and job seeking process. They expressed ambivalence toward their family while dealing with social isolation from extrafamilial support. Most of the participants criticized government employment support policies and services.