• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.1
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• pp.43-51
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• 2009

In 1998, Kocher et al. introduced Differential Power Attack on block ciphers. This attack allows to extract secret key used in cryptographic primitives even if these are executed inside tamper-resistant devices such as smart card. At FSE 2003 and 2004, Akkar and Goubin presented several masking methods, randomizing the first few and last few($3{\sim}4$) rounds of the cipher with independent random masks at each round and thereby disabling power attacks on subsequent inner rounds, to protect iterated block ciphers such as DES against Differential Power Attack. Since then, Handschuh and Preneel have shown how to attack Akkar's masking method using Differential Cryptanalysis. This paper presents how to combine Truncated Differential Cryptanalysis and Power Attack to extract the secret key from intermediate unmasked values and shows how much more efficient our attacks are implemented than the Handschuh-Preneel method in term of reducing the number of required plaintexts, even if some errors of Hamming weights occur when they are measured.

• Journal of dental hygiene science
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• v.13 no.2
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• pp.182-190
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• 2013

Composition of oral microbial flora is suggested to play a role in the maintenance of oral health. Among them, Streptococcus mutans plays an essential role in the formation of dental plaque and it is being noticed as incipient infective bacteria of dental caries. The purpose of this study was to prepare the basic data about distribution of Streptococcus mutans detected from saliva by measuring colony density. It is well known that smoking as well as drinking is a factor of dental caries, however there are few investigations about distribution of Streptococcus mutans either smoking or drinking. The materials of this study were collected from students of dentistry college with general characteristics obtained by self-administered questionnaires. Students were asked to gently chew the paraffin to get saliva for 1 minute. Bacitracin disc in the culture medium was activated for 15 minutes, and then sample was incubated in the activated medium at $37^{\circ}C$ incubator for 48 hours. Streptococcus mutans colonization per 1 ml saliva was measured by the number of criteria. The severe levels of dental caries activity were significantly increased in the case of smoking (from 5.6% to 10%) or drinking (form 0% to 7%), respectively. Also, dental caries activity increased according to smoking and drinking periods longer. However, using the SPSS analytical process (Mann-Whitney's U), no significant differences were observed between the smoking and the non-smoking or the drinking and non-drinking, respectively. These results obtained from dental caries activity of saliva suggest that distribution of Streptococcus mutans following smoking or drinking can be used as a significant information for oral health.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.671-679
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• 2016

Bridges, which constitute one of the key facilities in a social infrastructure, are easily accessed and used by users, so that keeping their performance above a certain level is essential. According to various cases in the U.S., Japan and Europe with a long construction history, it is expected that the maintenance cost of bridges in Korea will increase continuously in the future, so a rational decision making system based on engineering factors is necessary to optimize the performance of and maintain them by allocating the limited budget efficiently. This study is a preliminary basic study for the purpose of developing a common asset management system for managing all of the bridges and maintaining the level of service provided by them. The scope of this preliminary study is limited to bridges in urban areas. The bridge asset management system for bridges in urban areas, their level of service (LOS) and performance measure (PM) were developed by carrying out a workshop consisting of both experts and stakeholders. The analysis on the weights of the value and performance measure for each performance indicator was carried out by using the multi-attribute utility theory and the AHP method. In order to confirm the application of the weight of the performance measure and value of the performance indicator, six bridges in an example city were selected, LOS analysis was applied and its results were reviewed.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.521-521
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• 2012

우리나라는 산악지역이 국토의 대부분을 차지하고 있어 전체유역을 놓고 볼 때 대하천이 차지하는 부분보다는 중소하천이 차지하는 부분이 상대적으로 크고, 교량의 길이가 짧은 소교량이 수적으로 많은 부분을 차지하고 있다. 그중에서도 특히 중소하천의 유량은 시간적으로 매우 빠르게 변화하며 유속 또한 급속히 빨라져 하상의 변형이 순식간에 일어나고 있다. 이와 같은 시간적, 공간적인 호우특성과 지형특성으로 인하여 중소하천에 위치한 교량은 특히 세굴에 매우 취약함을 보여주고 있다. 하천에 건설되는 교량의 수명이나 안정성에 세굴이 미치는 영향은 매우 크며, 특히 우리나라와 같이 홍수 시 단기간에 걸쳐 유량이 급증하는 경우 유속에 의한 교량 기초의 급격한 세굴은 예상치 못한 교량 붕괴 사고를 초래할 수 있다. 현재 국내 소하천에 설치된 교량은 약 3,470개소(지방도 기준)로 다양한 하부구조로 설계되어 있다. 이렇게 하천 내에 세워진 교량과 같은 횡단 구조물들은 그 크기에 상관없이 하천의 형태에 영향을 미치게 된다. 그중에서 교량 세굴은 하천 횡단구조물로 인하여 발생되는 가장 중요한 문제 중의 하나로써 교량 건설 시 교각에 영향을 주는 세굴을 예측하고 방어하기 위하여 다양한 방정식을 통하여 신설교량의 교각세굴을 예측한다. 하지만 대부분의 교량 세굴 공식들은 실험실에서의 실험 결과를 토대로 개발되었기 때문에 이들 공식들이 산정한 국소 세굴량이 얼마나 정확한지는 실제 현장 관측 자료와의 비교를 통해서만 검증할 수 있다. 세굴 공식들의 산정 결과를 현장 실측자료와 비교하는 연구는 그 동안 다양하게 시도되었으나, 통일된 결론에는 도달하지 못하고 있다. 본 연구에서는 기존의 세굴깊이 산정 시 일반적으로 사용되어지고 있는 세굴공식들 중 소하천 교량 규모에 적용 가능한 공식들을 선별하고, 각 세굴심 추정공식에 속한 변수별 특성분석을 위하여, 5가지의 독립변수를 설정하여 국부세굴의 현장 측정값과 예측공식의 비교결과에 대하여 불일치율을 비교분석하였다. 그 결과, 모든 공식들의 불일치율의 기하 평균이 1보다 큰 것을 보여주고 있다. 즉, 모든 공식들이 과대 추정의 의미로 정확성면에서 우수한 공식들은 불일치율의 기하 평균이 1에 가깝고 기하 표준편차가 작은 공식들이 나타났으며, 이런 점에서 Froehlich 공식, Inglis-Poona II, Blench-Inglis I, Breusers 공식 등의 기하평균이 1에 가장 근접한 결과를 나타내었다. 각 세굴공식 세굴심 산정결과의 불일치율을 각각 5가지의 변수별로 도시하여 분석하였으며, 그 결과로 소하천에 대하여 적용 가능한 공식과 소하천에 적용 시에는 과다추정의 우려가 있는 공식으로 분류되어 면밀한 검토가 필요할 것으로 판단된다.

• Korean Journal of Social Welfare
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• v.57 no.3
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• pp.305-335
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• 2005

This paper is a result from validation study for SPDA(A Screening Scale For Potential Drug-use Adolescents) created in 2003 and newly developed during 2004. SPDA aims to screen adolescents in their early stage of drug-use and to help practitioners make a preventive approach for the adolescents. 4307 junior and senior high school students were selected as primary research subjects by stratified and quota sampling methods. 305 adolescents on probation were also selected as a comparison group and asked to answer the same questionnaire. Reliability for SPDA recorded 0.914, which proved to be better than previous year's (0.898). Exploratory and confirmatory factor analyses to test construct validity proved that SPDA could be divided into 7 factors and that each factor structure of SPDA could be a proper measurement model with high level of fitness and factor loadings. Discriminant analysis to test predictive validity confirmed that SPDA could classify the adolescents excellently by the frequency of drug-use, with hit ratio of 86.6 percent(78.8% and 87.4% for junior and senior high school students respectively). For concurrent validity test, Hare Home Self-Esteem Scale, Hare School Self-Esteem, Zuckerman-Kuhlman Sensation-seeking Scale were employed to find correlation with SPDA and all the three scales had significant Pearson correlation coefficients with SPDA. Known-groups validity test indicated that SPDA had an adequate power to classify out adolescents on probation from those in schooling, with a hit ratio of 71.8 percent. Cut-off point to detect adolescents with high risk of substance use was 77, which indicated approximately T score, 55 (0.5 SD), satisfying sensitivity, specificity, and efficiency criteria.

• Journal of Life Science
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• v.23 no.7
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• pp.869-878
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• 2013

Eleven functional plant materials were identified via a literature search, and their antioxidant capacity and inhibitory effects on lipopolysaccharide (LPS)-induced nitric oxide (NO) production in RAW264.7 cells were tested. Yields from hot water extracts of the materials were the highest (52.10%) in Lycii fructus, and the yields from Phellinus linteus were the lowest (5.7%). The yields of another were 14.50-42.47%. Total phenol and flavonoids contents were the highest in P. linteus. The $EC_{50}$ values for DPPH and ABTS radical scavenging activities were lower than $100{\mu}g/ml$ for Salvia miltiorrhiza, whereas the values for P. linteus, Scutellaria baicalensis, and Paeonia lactiflora were $100-200{\mu}g/ml$. The $EC_{50}$ value for the superoxide anion radical scavenging activity of all the extracts was higher than $300{\mu}g/ml$. P. linteus for the reducing power was shown the highest activity. $Fe^{2+}$ chelating activity was the highest in the Morus alba extract. In an MTT assay, the cell viability of the RAW264.7 LPS-exposed cells was above 80% in extracts of $50{\mu}g/ml$ and above 77% in extracts of $100{\mu}g/ml$ in all the plant materials except Acanthopanax sessiliflorum. NO production in the RAW264.7 LPS-exposed cells showed a 12-fold increase compared to the control. The NO production level of all the extracts was $6.86-26.18{\mu}M$. Notably, $100{\mu}g/ml$ of S. baicalensis extract showed a remarkable decrease in NO production (72%) compared with the control. The potent antioxidant and anti-inflammatory activities of S.baicalensis, P. linteus, S. miltiorrhiza, M. alba, and P. lactiflora suggest that they are potential candidates as functional materials.

• Journal of IKEEE
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• v.25 no.3
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• pp.493-500
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• 2021

In this paper, we propose the development of deep learning structure to improve quality of polygonal containers. The deep learning structure consists of a convolution layer, a bottleneck layer, a fully connect layer, and a softmax layer. The convolution layer is a layer that obtains a feature image by performing a convolution 3x3 operation on the input image or the feature image of the previous layer with several feature filters. The bottleneck layer selects only the optimal features among the features on the feature image extracted through the convolution layer, reduces the channel to a convolution 1x1 ReLU, and performs a convolution 3x3 ReLU. The global average pooling operation performed after going through the bottleneck layer reduces the size of the feature image by selecting only the optimal features among the features of the feature image extracted through the convolution layer. The fully connect layer outputs the output data through 6 fully connect layers. The softmax layer multiplies and multiplies the value between the value of the input layer node and the target node to be calculated, and converts it into a value between 0 and 1 through an activation function. After the learning is completed, the recognition process classifies non-circular glass bottles by performing image acquisition using a camera, measuring position detection, and non-circular glass bottle classification using deep learning as in the learning process. In order to evaluate the performance of the deep learning structure to improve quality of polygonal containers, as a result of an experiment at an authorized testing institute, it was calculated to be at the same level as the world's highest level with 99% good/defective discrimination accuracy. Inspection time averaged 1.7 seconds, which was calculated within the operating time standards of production processes using non-circular machine vision systems. Therefore, the effectiveness of the performance of the deep learning structure to improve quality of polygonal containers proposed in this paper was proven.

• Korean Journal of Clinical Laboratory Science
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• v.49 no.3
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• pp.239-247
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• 2017

Among the commonly known tools to diagnose diabetes are fasting plasma glucose (FPG), HbA1c., and OGTT known as gold standard. However, there can be many disagreements on the ways to diagnose diabetes. In this study, we examined the differences of the types of diabetes according to the applicability of FPG and HbA1c. Moreover, we evaluated the concordance of diagnosis. We excluded subjects with missing glucose and HbA1c data, as well as those previously diagnosed with diabetes, and those who fasted less than 8 hours. The data of 4,502 subjects (1,956 men and 2,546 women) from the 2015 KNHNES were analyzed. We divided these patients into three categories which are normal, prediabetes, and diabetes, based on the FPG and HbA1c. In men, the number of subjects with FPG ranging from 100 to 125 mg/dL and HbA1c ${\geq}6.5%$ was 23 out of 664, and the number of subjects with FPG < 126 mg/dL and HbA1c ${\geq}6.5%$ was 39 out of 86 newly diagnosed diabetes patients. The concordance rate was as follows: Normal 80.3%, prediabetes 44.9%, and diabetes 54.7%. The coefficient of Cohen's Kappa was 0.322 in men and 0.362 in women; this suggests that both gender showed a low concordance rate. However, when we divided them into two categories (nondiabetes and diabetes), Kappa was 0.582 in men and 0.637 in women, showing a relatively high concordance rate. While all subjects with FPG ${\geq}126mg/dL$ showed a significantly high HOMA IR, all subjects with FPG < 126 mg/dL showed a significantly high QUICKI. Considering the low concordance rate for the diagnosis of diabetes and characteristic of diagnostic tests, it is necessary to combine the related tests for diagnosing diabetes.

• Journal of the Korean Wood Science and Technology
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• v.49 no.1
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• pp.23-43
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• 2021

In this study, we selected two essential oils, Citrus unshiu and Cinnamomum cassia with superior antioxidant effects from the essential oils of 7 wild plants in South Korea and examined their antimicrobial activity against Candida albicans, which causes dermatitis to identify the antimicrobial components in the essential oils. As a result of measuring DPPH (1,1-diphenyl-2-picrylhydrazyl) radical scavenging activity, SC50 value of the Citrus unshiu essential oil was 0.010 mg/mL, while for the Cinnamomum cassia essential oil, SC50 value was 0.09 mg/mL. In addition, when ABTS (2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) radical scavenging activity was measured, SC50 value of the Citrus unshiu essential oil was 0.09 mg/mL, while for the Cinnamomum cassia essential oil, it was 0.06 mg/mL, exhibiting high antioxidant activity. For the minimum inhibitory concentration (MIC), the essential oil of Cinnamomum cassia was 1.25 mg/mL and that of Citrus unshiu was 5 mg/mL, demonstrating a high antimicrobial activity of the Cinnamomum cassia essential oil. Through the thin layer chromatography (TLC) bioassay, we assessed the antimicrobial activity against C. albicans according to the fraction components of the two essential oils. Also, by using preparative TLC (prep. TLC), we obtained the active fractions, and by performing GC/MS analysis of the components with the same Rf value, we identified the antimicrobial-active components. As a result, the main components having antioxidant and antimicrobial activities were cinnamyl acetate, eucalyptol, linalool, and citral of the Cinnamomum cassia essential oil and linalool from the Citrus unshiu essential oil. Also, based on the analysis of the fractional components that showed antioxidant and antimicrobial activities in both of the two essential oils, it was found that linalool has antioxidant activity, while cinnamyl acetate, eucalyptol, citral, and geranyl acetate have antioxidant and antimicrobial activities.

• Applied Chemistry for Engineering
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• v.26 no.3
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• pp.259-264
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• 2015

For the enhanced oil recovery, one of the most important factors is to determine the surfactant formulation in chemical flood. The objective of this study is to analyze the microemulsion formed between the alkali-surfactant (AS) solution and A crude oil for screening surfactants. The alkali-surfactant solution was manufactured by using the surfactant purchased from AK ChemTech. $C_{16}-PO_7-SO_4$ and sodium carbonate solution were used as surfactant and alkaline, respectively. Both TEGBE and IBA were used as a co-solvent. The AS solution and A crude oil can form a Type III middle phase microemulsion at the salinity from 0.0 wt%~3.6 wt%. Increasing the salinity causes the phase transition of microemulsion from the lower (Type I) to middle (Type III) to upper (Type II) phase. Interfacial tension (IFT) values calculated by Huh's equation were in good agreement with ultralow IFT. According to this characteristic, the surfactant purchased from a domestic company can be applied to the enhanced oil recovery.