• Annual Conference of KIPS
• /
• 2007.11a
• /
• pp.113-116
• /
• 2007

In this paper, our proposed Nonlinear Autoregressive Exogenous (NARX) based on Least Square-Support Vector Regression (LS-SVR) is introduced and tested for producing natural sounds. This nonlinear synthesizer perfectly reproduce voiced sounds, and also conserve the naturalness such as jitter and shimmer, compared to LPC does not keep these naturalness. However, the results of some phonation are quite different from the original sounds. These results are assumed that single-band model can not afford to control and decompose the high frequency components. Therefore multi-band model with wavelet filterbank is adopted for substituting single band model. As a results, multi-band model results in improved stability. Finally, nonlinear speech modeling using NARX based on LS-SVR can successfully reconstruct synthesized sounds nearly similar to original voiced sounds.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.12 no.2
• /
• pp.75-90
• /
• 2010

Teenagers are considered as one of important consumer groups by marketers because of their high purchasing power and impulsive purchasing propensity. Especially high school girls are most significant purchasing group of them. The purpose of this study is to investigate the effect of high school girls' lifestyle on shoes purchasing behavior and shoes wearing satisfaction. This study surveyed 428 high school girls in Seoul and Chonbuk area. Data were statistically analyzed using SAS 9.1.3 for Window. Major statistical methods are factor analysis, Cronbach's ${\alpha}$ coefficient, cluster analysis, frequency analysis, Chi-square test, multiple regression analysis, ANOVA and Duncan test. The shoes purchasing behavior is significantly different according to students' lifestyle. Activity-pursuing group's major shoes purchasing factor is practical use and fashion & scholar-pursuing group's major shoes purchasing factors are fashion and brand. Relationship between lifestyle and shoes purchasing pattern is as follows. Activity-pursuing group and fashion & scholar-pursuing group purchased shoes more frequently than family-pursuing group. Fashion & scholar-pursuing-group purchased shoes for the harmony of suit and shoes. As for wearing satisfaction, design is the primary factor and price was the least significant factor in sports shoes, while durability is the primary factor and material is the least significant factor for the casual shoes.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.1
• /
• pp.349-353
• /
• 2014

Background: Although previously studies have reported that most patients with malignancy prefer to die at home, this is not the real situation in clinical practice. Aim: In this study, we aimed to determine the characteristics of Turkish cancer patients admitted to the emergency department (ED) within one month before death. Materials and Method: This descriptive retrospective study focused on questions about how often and why patients with cancer visited the ED before death. A total of 107 individuals with cancer were divided into 2 groups: Group 1, patients with at least one visit in the final 4 weeks; and Group 2, patients with no visit to ED. Demographic and clinical features were compared between the two groups. Statistical analyses: Descriptive statistical methods, statistical analysis for correlation, Student's t-test, chi-square tests and logistic regression were used. Results: At least one visit to ED within one month before death was reported for 64 (60%) of the 107 cases. Of these 64 (Group 1), 38% (n=24) were discharged and 9% (n=6) died in the ED. The most common site of the primary tumor was the lung (n=24, 38%) and the most common symptom was dyspnea (92%). With the other 43 (40%) cancer patients not presenting to the ED within one month before death, they were more likely to be female with another type of cancer. Conclusions: Guidelines are needed for better management of cancer patients benefiting from visits to ED within the last month of life.

• Korean journal of food and cookery science
• /
• v.30 no.2
• /
• pp.200-211
• /
• 2014

This study was conducted to identify the sensory characteristics of four kinds of wild vegetables (samnamul, miyeokchwi, daraesoon and bangpung namul), which were prepared through three different soaking methods: SBS (soaking both before and after boiling), BS (soaking only after boiling) and B (never soaking). Moreover, it also compared the consumer acceptance of these samples in Korea. A descriptive analysis was performed on 12 samples (Sam_SBS, Sam_BS, Sam_B, Miyeokchwi_SBS, Miyeokchwi_BS, Miyeokchwi_B, Daraesoon_SBS, Daraesoon_BS, Daraesoon_B, Bangpung_SBS, Bangpung_BS and Bangpung_B) by 10 trained panelists. Furthermore, 115 consumers evaluated the overall acceptance (OL), acceptance of appearance (APPL), odor (ODL), flavor (FLL), and texture (TXTL) of the samples using a 9-point hedonic scale; they also rated the perceived intensities of toughness, roughness and moistness using a 9-point just-about-right (JAR) scale. According to the results of the PLSR data, the Sam_SBS sample, which had significantly (p<0.05) high muddiness, moistness, brightness, redness, oily appearance, sesame oil flavor, softness and greasy attribute scores, presented the highest acceptability and consumer desire scores for consumers. On the other hand, the Miyeokchwi_B and Bangpung_B samples, which had relatively high toughness, crispiness, roughness, bitterness and, astringent attributes scores, were the least preferred samples. Therefore, the muddiness, moistness, brightness, oily appearance, sesame oil flavor, softness and greasy attributes were drivers of "liking," whereas toughness, crispiness, roughness, bitterness, astringent attributes acted as drivers of "disliking" for consumers.

• Journal of the Korean Data and Information Science Society
• /
• v.21 no.6
• /
• pp.1171-1180
• /
• 2010

It is well known that the asymptotic convergence rates of nonparametric regression estimator gets worse as the dimension of covariates gets larger. One possible way to overcome this problem is reducing the dimension of covariates by using single index models. Two coefficient estimation methods in single index models are introduced. One is semiparametric least square estimation method, which tries to find approximate solution by using iterative computation. The other one is weighted average derivative estimation method, which is non-iterative method. Both of these methods offer the parametric convergence rate to normal distribution. However, practical comparison of these two methods has not been done yet. In this article, we compare these methods by examining the variances of estimators in various models.

• The Korean Journal of Pain
• /
• v.36 no.4
• /
• pp.425-440
• /
• 2023

Background: Muscimol's quick onset and GABAergic properties make it a promising candidate for the treatment of pain. This systematic review and meta-analysis of preclinical studies aimed at summarizing the evidence regarding the efficacy of muscimol administration in the amelioration of nerve injury-related neuropathic pain. Methods: Two independent researchers performed the screening process in Medline, Embase, Scopus and Web of Science extracting data were extracted into a checklist designed according to the PRISMA guideline. A standardized mean difference (SMD [95% confidence interval]) was calculated for each. To assess the heterogeneity between studies, ² and chi-square tests were utilized. In the case of heterogeneity, meta-regression and subgroup analyses were performed to identify the potential source. Results: Twenty-two articles met the inclusion criteria. Pooled data analysis showed that the administration of muscimol during the peak effect causes a significant reduction in mechanical allodynia (SMD = 1.78 [1.45-2.11]; P < 0.0001; I² = 72.70%), mechanical hyperalgesia (SMD = 1.62 [1.28-1.96]; P < 0.0001; I² = 40.66%), and thermal hyperalgesia (SMD = 2.59 [1.79-3.39]; P < 0.0001; I² = 80.33%). This significant amendment of pain was observed at a declining rate from 15 minutes to at least 180 minutes post-treatment in mechanical allodynia and mechanical hyperalgesia, and up to 30 minutes in thermal hyperalgesia (P < 0 .0001). Conclusions: Muscimol is effective in the amelioration of mechanical allodynia, mechanical hyperalgesia, and thermal hyperalgesia, exerting its analgesic effects 15 minutes after administration for up to at least 3 hours.

• Journal of Biosystems Engineering
• /
• v.41 no.3
• /
• pp.273-280
• /
• 2016

Purpose: This experiment was conducted to detect water stress in terms of the moisture content of cucumber seedlings under water stress condition using a hyperspectral image acquisition system, linear regression analysis, and partial least square regression (PLSR) to achieve a non-destructive measurement procedure. Methods: Changes in the reflectance spectrum of cucumber seedlings under water stress were measured using hyperspectral imaging techniques. A model for estimating moisture content of cucumber seedlings was constructed through a linear regression analysis that used the moisture content of cucumber seedlings and a normalized difference vegetation index (NDVI). A model using PLSR that used the moisture content of cucumber seedlings and reflectance spectrum was also created. Results: In the early stages of water stress, cucumber seedlings recovered completely when sub-irrigation was applied. However, the seedlings suffering from initial wilting did not recover when more than 42 h passed without irrigation. The reflectance spectrum of seedlings under water stress decreased gradually, but increased when irrigation was provided, except for the seedlings that had permanently wilted. From the results of the linear regression analysis using the NDVI, the model excluding wilted seedlings with less than 20% (n=97) moisture content showed a precision ($R^2$ and $R^2_{\alpha}$) of 0.573 and 0.568, respectively, and accuracy (RE) of 4.138% and 4.138%, which was higher than that for models including all seedlings (n=100). For PLS regression analysis using the reflectance spectrum, both models were found to have strong precision ($R^2$) with a rating of 0.822, but accuracy (RMSE and RE) was higher in the model excluding wilted seedlings as 5.544% and 13.65% respectively. Conclusions: The estimation model of the moisture content of cucumber seedlings showed better results in the PLSR analysis using reflectance spectrum than the linear regression analysis using NDVI.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.3
• /
• pp.129-141
• /
• 2019

In recent years, fast growing cities in Korea are showing signs of being vulnerable to more disasters as their population and facilities increase and intensify. In particular, fire is one of the most common disasters in Korea's cities, along with traffic accidents. Therefore, in this study, we analyze what type of factors affect the fire that threatens urban people. Fire data were acquired for 10 years, from 2007 to 2017, in Jinju, Korea. Spatial distribution pattern of fire occurrence in Jinju was assessed through the spatial autocorrelation analysis. First, spatial autocorrelation analysis was carried out to grasp the spatial distribution pattern of fire occurrence in Jinju city. In addition, correlation and multiple regression analysis were used to confirm spatial dependency and abnormality among factors. Based on this, OLS (Ordinary Least Square) regression analysis was performed using space weighting considering fire location and spatial location of each facility. As a result, First, LISA (Local Indicator of Spatial Association) analysis of the occurrence of fire in Jinju shows that the most central commercial area are fire department, industrial area, and residential area. Second, the OLS regression model was analyzed by applying spatial weighting, focusing on the most derived factors of multiple regression analysis, by integrating population and social variables and physical variables. As a result, the second kind of neighborhood living facility showed the highest correlation with the fire occurrence, followed by the following in the order of single house, sales facility, first type of neighborhood living facility, and number of households. The results of this study are expected to be useful for analyzing the fire occurrence factors of each facility in urban areas and establishing fire safety measures.

• Health Policy and Management
• /
• v.24 no.2
• /
• pp.143-152
• /
• 2014

Background: Previous studies showed that the characteristics of population and regions were related to the suicide rates. This study purposed to analyze the relationships between regional factors and suicide rates with spatial analysis model. Methods: This is a cross sectional study based on the statistics of 2011 which was extracted from the 229 City Gun Gu administrative districts in Korea. Cause of death statistics on each district was used to produce the age-, sex-adjusted mortality rates resulting from suicide. Regional characteristics were measured by the number of doctors engaged in medical institutions per 1,000 population, divorced people's rate per 1,000 population, number of marriages per 1,000 population, and percent of welfare budget in general accounting. Statistical analysis was performed by using SAS ver. 9.3 and ArcGIS ver. 10.2 was used for geographically weighted regression (GWR). Results: In ordinary least square (OLS) regression, divorced people's rate per 1,000 population had a significant positive relationship with the standardized mortality rate per 100,000 population. Marriages per 1,000 population and the proportion of welfare budget in the general accounting had significant negative relationships with the mortality rates. Meanwhile, GWR provided that the directions of variable, divorced people's rate per 1,000 population, were varied depending on regions. The adjusted $R^2$ was improved from the 0.32 in OLS to the 0.46 in GWR. Conclusion: Results of GWR showed that regional factors had different effects on the suicide rates depending on locations. It suggested that policy interventions for reducing the suicide rate should consider the regional characteristics in obtaining policy objectives.

• Biomedical Science Letters
• /
• v.23 no.2
• /
• pp.133-137
• /
• 2017

Periodontitis is the major causation of tooth loss in the elderly population. Multiple risk factors include oral microorganisms, smoking, metabolic syndrome, and genetic factors influence periodontitis development. In this study, we conducted a replication study of using previous Korean GWAS results by examining an independent population. The study population was recruited from Mir Dental Clinic, Daegu, Korea. In total, 93 samples were evaluated from July 2016 to January 2017. The sample groups include relatively older patients (>60 years) with no periodontitis (n = 31) and relatively younger patients (range 40~60 years) with severe periodontitis (n = 62). A total of seven markers which were previously reported to be associated with periodontitis were genotyped. Among the seven SNPs, rs16846206 and rs2392510 showed a significant association by logistic regression analysis and Chi square test, respectively. The former SNP showed significant association with severe periodontitis, whereas this study also showed same tendency in which individuals with the minor allele are significantly more frequent in cases than those in controls. The SNP is located on a coding gene (SLC9C2), where the alanine residue 505 is replaced by glycine (Ala505Gly). The later SNP was significant when differed between case and control groups, but there was no significance by logistic regression analysis when controlled for age and sex as covariant. Although the study population size examined in the current study was relatively smaller compared to previous studies, our results implicated that at least the two SNPs (rs16846206 and rs2392510) might be important candidates for the further genetic study.