• The korean journal of orthodontics
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• v.27 no.2
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• pp.327-334
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• 1997

The purpose of this study was to evaluate clinical applicability of light cured glass ionomer cement as a othodontic adhesive. The metal brackets and plastic brackets were bonded with light cured glass ionomer cement(Fuji Ortho $LS^{(R)}$) after polishing with a slurry of pumice, surface conditioning with 10% polyacrylic acid and chemically cured resin(Mono-$Lok2^{(R)}$) after acid etching with 38% phosphoric acid on the extracted human bicuspids. The shear bond strength was tested with a universal testing machine(HGS-100A, Shimadzu Co., Japan) after storage in normal saline at $37^{\circ}C$ or 24 hours and 48 hours. The results were as follows: 1. The shear bond strength of light cured glass ionomer cement group polished with a slurry of pumice was significantly lower than that of chemically cured resin group(P<0.01). 2. The shear bond strength of light cured glass ionomer cement group conditioned with 10% polyacrylic acid was significantly lower than that of chemically cured resin group(P<0.01). 3. The shear bond strength of light cued glass ionorner cement group conditioned with 10% polyacrylic acid was slightly higher than that of light cured glass ionomer cement group polished with a slurry of pumice, but there was no significant difference(P>0.05). 4. There was no significant difference between metal bracket group and plastic bracket group irrelevant off enamel conditioning(P>005). In summary, although the shear bond strength of light cured glass lionomer cement was lower than that of chemically cured resin, it night be clinically applicable.

• Korean Journal of Poultry Science
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• v.28 no.3
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• pp.259-266
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• 2001

This study conducted to investigate the effects of dietary Korean medical herb residue on egg quality and serum cholesterol of laying hens under heat stress. One hundred forty four, 41 weeks old ISA brown commercial layer, were used in a 28 d growth assay with a 7d adjustment period. Dietary treatments Included 1) Control (basal diet), 2) KMHR1.0 (basal diet+1.0% korean medical herb residue), 2) KMHR2.0 (basal diet+2.0% Korean medical herb residue). For overall Period, laying hens fed KMHR1.0 diet were higher hen-day egg production than laying hens fed Control and KMHR2.0 diets with significant difference (quadratic effect, p<0.01). Egg weight, egg shell breaking strength and egg shell thickness were not influenced by Korean medical herb residue supplementation (P>0.05). As adding level of Korean medical herb residue increased in the diets, yolk color tended to increase, however, the differences failed to reach significance (P>0.05). Also, egg yolk index was not influenced by korean medical herb residue supplementation (P>0.05). Total-, HDL- LDL+VLDL-cholesterol and triglyceride concentrations in serum tended to increase as the concentration of Korean medical herb residue in the diets was increased without significant difference (P>0.05). In conclusion, supplementing 1.0% Korean medical herb residue to a corn SBM meal diet for laying hens increased hen-day egg production.

• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.453-462
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• 2017

Double propensity score adjustment is an analytic solution to address bias due to incomplete matching. However, it is difficult to estimate the standard error of the estimated treatment effect when using double propensity score adjustment. In this study, we propose two bootstrap methods to estimate the standard error. The first is a simple bootstrap method that involves drawing bootstrap samples from the matched sample using the propensity score as well as estimating the standard error from the bootstrapped samples. The second is a complex bootstrap method that draws bootstrap samples first from the original sample and then applies the propensity score matching to each bootstrapped sample. We examined the performances of the two methods using simulations under various scenarios. The estimates of standard error using the complex bootstrap were closer to the empirical standard error than those using the simple bootstrap. The simple bootstrap methods tended to underestimate. In addition, the coverage rates of a 95% confidence interval using the complex bootstrap were closer to the advertised rate of 0.95. We applied the two methods to a real data example and found also that the estimate of the standard error using the simple bootstrap was smaller than that using the complex bootstrap.

• Journal of Korean Society of Neurocognitive Rehabilitation
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• v.10 no.2
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• pp.35-44
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• 2018

This study was conducted to explore the effects of semi-structured $DIRFloortime^{(R)}$ treatment on the enhancement of language comprehension and information processing of children with high-performance autistic spectrum disabilities. We measured the general characteristics of the test subjects, which are level of autism, total intelligence, language comprehension and information processing indicators. The intervention method used was a semi-structured $DIRFloortime^{(R)}$ therapy using board game intervention program after revising and supplementing the expert content validity. A pre/post-test for a group was designed as a similar experiment and the pre/post test was initiated with the t certification at .05 of significance level. After initiating the program, the post test has shown that the language comprehension indicators showed statistically significant levels of difference (p<.001) and the information processing indicator also had a statistically significant effect (p<.001). There was a statistically significant difference (p<.001) in the level of verbal comprehension index after the program implementation, and statistically significant differences in the information processing index (p<.001). The semi-structured $DIRFloortime^{(R)}$ treatment using boardgames for enhancing the language comprehension and information processing indicators of children with high performance autistic spectrum disorder had a significant effect.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.73-80
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• 2021

In this paper, we propose a packet processing method capable of handling large-capacity traffic over 20Gbps using multi-core and huge page memory approaches. As ICT technology advances, the global average monthly traffic is expected to reach 396 exabytes by 2022. With the increase in network traffic, cyber threats are also increasing, increasing the importance of traffic analysis. Traffic analyzed as an existing high-cost foreign product simply stores statistical data and visually shows it. Network administrators introduce and analyze many traffic analysis systems to analyze traffic in various sections, but they cannot check the aggregated traffic of the entire network. In addition, since most of the existing equipment is of the 10Gbps class, it cannot handle the increasing traffic every year at a fast speed. In this paper, as a method of processing large-capacity traffic over 20Gbps, the process of processing raw packets without copying from single-core and basic SMA memory approaches to high-performance packet reception, packet detection, and statistics using multi-core and NUMA memory approaches suggest When using the proposed method, it was confirmed that more than 50% of the traffic was processed compared to the existing equipment.

• Journal of Korean Society of Environmental Engineers
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• v.32 no.6
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• pp.631-638
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• 2010

The objective of this study was to evaluate the efficiency of zerovalent iron and basic oxygen furnace slag on arsenic stabilization in soils. For this, arsenic (V) contaminated soil and roxarsone contaminated soil were incubated after incorporation with zerovalent iron (ZVI) or basic oxygen furnace slage (BOFS) at four different levels (0%, 1%, 3%, and 5%) for 30 days and then the residual concentrations of arsenic were analysed following extraction with aqua reqia, 1N HCl and 0.01 M $CaCl_2$. The total concentration of arsenic was 2,285 mg/kg in the As(V) contaminated soil and 6.5 mg/kg in the roxarsone contaminated soil. 1 N HCl extractable arsenic concentration in the As(V) contaminated soil was initially 1,351 mg/kg and this was significantly declined by 713~1,034 mg/kg following incubation with ZVI while BOFS treatment showed no effect on the stabilization of inorganic arsenate except 5% treatment which showed around 100 mg/kg reduction in 1N HCl extractable arsenic. Similarly, in the roxarsone contaminated soil 1N HCl extractable concentration of arsenic was reduced from 3.13 mg/kg to 0.69 mg/kg with ZVI treatment increased from 1% to 5% while BOFS treatment did not lead to any statistically significant reduction. Available (0.01M $CaCl_2$ extractable) arsenic was initially 0.85 mg/kg in the As(V) contaminated soil and this declined by 0.79 mg/kg following incorporation with 5% ZVI, which accounted for more than 90% of the available As in the control. When As(V)-contaminated soil was treated with BOFS, the available arsenic was increased due to competing effect of the phosphate originated from BOFS with arsenate for the adsorption sites. For the roxarsone contaminated soil, the greater the treatment of ZVI or BOFS, the lower the available arsenic concentration although it was still higher than that of the control.

• The Korean Journal of Applied Statistics
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• v.28 no.3
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• pp.407-415
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• 2015

$Na{\ddot{i}}ve$ Bayes Classification is based on input variables that are a conditionally independent given output variable. The $Na{\ddot{i}}ve$ Bayes assumption is unrealistic but simplifies the problem of high dimensional joint probability estimation into a series of univariate probability estimations. Thus $Na{\ddot{i}}ve$ Bayes classier is often adopted in the analysis of massive data sets such as in spam e-mail filtering and recommendation systems. In this paper, we propose a variable selection method based on ${\chi}^2$ statistic on input and output variables. The proposed method retains the simplicity of $Na{\ddot{i}}ve$ Bayes classier in terms of data processing and computation; however, it can select relevant variables. It is expected that our method can be useful in classification problems for ultra-high dimensional or big data such as the classification of diseases based on single nucleotide polymorphisms(SNPs).

• Journal of the Korean Applied Science and Technology
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• v.37 no.4
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• pp.936-943
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• 2020

The purpose of this study was to examine the effect of service quality on customer satisfaction and behavior intention of screen golf. Also emphasized the importance of service quality and tried to identify the mediating role between customer satisfaction and behavior intention. The 485 person who experienced purchasing behavior of screen golf were analyzed and chosen from located in Korea. For the purpose of this study, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, simple regression and multiple regression analysis of SPSS Statistics ver. 20 were performed. The research results of this study indicate that First, service quality had a significant influence on customer satisfaction in order of facilities, services, human resources and prices. Second, customer satisfaction had a significant influence on behavior intention. Third, service quality had a significant influence on behavior intention in order of facilities, price, service and human resources.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.316-320
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• 2018

복합명사는 둘 이상의 말이 결합된 명사를 말하며 문장에서 하나의 단어로 간주된다, 그러나 맞춤법 및 띄어쓰기 검사나 정보검색의 색인어 추출, 기계번역의 미등록어 추정 등의 분야에서는 복합명사를 구성하는 개별 단어를 확인할 필요가 있다. 이 과정을 복합명사 분해라고 한다. 복합명사를 분해하는 방법으로 크게 규칙 기반 방법, 통계 기반 방법 등이 있으며 본 논문에서는 규칙을 기반으로 최소한의 통계 정보를 이용하는 방법을 제안한다. 본 논문은 4개의 분해 규칙을 적용하여 분해 후보를 생성하고 분해 후보들 중에 우선순위를 정하여 최적 후보를 선택하는 방법을 제안한다. 기본 단어(명사)로 트라이(trie)를 구축하고 구축된 트라이를 이용하여 양방향 최장일치를 적용하고 음절 쌍의 통계정보를 이용해서 모호성을 제거한다. 성능을 평가하기 위해 70,000여 개의 명사 사전과 음절 쌍 통계정보를 구축하였고, 이를 바탕으로 복합명사를 분해하였으며, 분해 정확도는 단어 구성비를 반영하면 96.63%이다. 제안된 복합명사 분해 방법은 최소한의 데이터를 이용하여 복합명사 분해를 수행하였으며 트라이 자료구조를 사용해서 사전의 크기를 줄이고 사전의 검색 속도를 개선하였다. 그 결과로 임베디드 시스템과 같은 소형 기기의 환경에 적합한 복합명사 분해 시스템을 구현할 수 있었다.

• The korean journal of orthodontics
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• v.29 no.1 s.72
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• pp.37-49
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• 1999

Forty-four females with normal temporomandibular joint were compared with fifty-one females with abnormal temporomandibular joint. An orthodontic study model and lateral cephalometric radiographic were used to investigate the relationship between TMD group and non-TMD group in long face patterns. The result were followed that ; 1. There were no significant in overbite and overjet amount. 2. A mandibular 1'st molar inclination and height to the mandibualr plane were more mesial inclined in TMD groups. 3. The functional factors, which were craniocervical posture , tongue posture and hyoid bone position, were no significant.