• Tunnel and Underground Space
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• v.21 no.5
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• pp.349-358
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• 2011

This paper introduces a new P wave arrival time determination algorithm of acoustic emission (AE) suitable to identify P waves with low signal-to-noise ratio generated in rock masses around the high-level radioactive waste disposal repositories. The algorithms adopted for this paper were amplitude threshold picker, Akaike Information Criterion (AIC), two step AIC, and Hinkley criterion. The elastic waves were generated by Pencil Lead Break test on a granite sample, then mixed with white noise to make it difficult to distinguish P wave artificially. The results obtained from amplitude threshold picker, AIC, and Hinkley criterion produced relatively large error due to the low signal-to-noise ratio. On the other hand, two step AIC algorithm provided the correct results regardless of white noise so that the accuracy of source localization was more improved and could be satisfied with the error range.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.79-90
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• 2019

This study aims to develop time headway distribution models of bicycle traffic flow in a uninterrupted bikeway. The sample data were collected and classified into two groups of traffic volume levels. The lower level traffic volume is defined to be under 8 bicycles per minute, and the higher one is greater or equal to 8 bicycles per minute. The data aggregation interval size was set to be 0.5-second. Four distribution models including normal distribution, negative exponential distribution, shifted negative exponential distribution, and Pearson III distribution were tested, and Chi-square test results shows that the negative exponential distribution and the shifted negative exponential distribution are well fitted to the sample data. Another test results with different sample data also shows the same conclusion.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.107-124
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• 2021

This study is a study on the innovation resistance that may arise in connection with the introduction and use of smart factory-related technologies by SMEs. It is to study the effect of the leading factors of innovation resistance on innovation resistance and the effect of innovation resistance on use intention by using the extended innovation resistance model. A total of 176 survey data were used for the study, and the study was conducted using SPSS 25 and Smart PLS 2.0. Relative advantage, suitability, perceived risk, social impact, and organizational characteristics have a significant effect on innovation resistance, and innovation resistance was tested to have a significant effect on the intention to use. As an implication according to the research, a plan to improve the level of introduction and use of smart factories using the expanded innovative storage model was presented by dividing positive and negative factors, and factors that should be improved and factors that should be reduced are presented. It was specifically presented.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.185-194
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• 2022

The software industry makes it possible to converge science and Information and Communication Technologies (ICT), create new markets, and create jobs. It is a key industry in the 21^st century knowledge and information age, which is growing very rapidly. This study uses Input-output analysis to derive Linkage effect of the software industry in Korea and the United States (US), and compares the result with CO₂ inducement effect to verify whether the industry meets the low carbon emission development strategy. As the result of this study, first, the software industries in Korea and the US are confirmed to have large influences on the national economy. Second, the Korean software industry has a low Forward linkage effect, so it is less affected by the output of other industries. On the other hand, in the US, it has a high Forward linkage effect and can induce a lot of output in others. Third, CO₂ inducement effects of the industry in Korea and the US are both low, confirming that the industry is suitable for a sustainable future.

• Korean Journal of Poultry Science
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• v.35 no.3
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• pp.291-302
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• 2008

To acquire essentially necessary basic data to establish feeding system by verifying appropriate dietary energy and protein level for the growth of commercial slow growing broiler chicks within the country, two experiments were conducted for 5 weeks. One day old, 1,404 male and female broiler chicks were used for the experiments, and 26 chicks were placed at each pen. The energy level of feed was maintained about 3,000 or 3,100 kg/kcal for whole breeding period of 5 weeks, and protein content was adjusted about 20, 21, and 22% during the first two weeks and the content was adjusted to 18, 19, 20, 21, and 22% from the 3 to 5 weeks old of the experiment. The categories of body weight and feed intake amount were monitored to calculate the productivity and blood sampling was conducted for the analysis at the end of each experiment. Experiment 1:Although the productivity by the ME content difference during $0{\sim}2$ weeks did not have significant difference and the body weight increase by the difference of CP content and feed intake amount did not have much difference, the feed requirement rate was statistically improved in CP 21 and 22% treatment groups compared to the CP 20% group (P<0.05). The feed ME 3,100 kcal/kg treated group during $3{\sim}5$ weeks after starting the experiment revealed to show improved feed requirement rate (P<0.05). Within the period of experiment, the CP 22% treated group resulted to show significant body weight increase compared to the groups treated with low levels of CP (P<0.05) and the feed requirement rate was improved in high CP treated group compared to low CP treated groups, but the feed intake amount did not show significant difference between treated groups. During the experiment period, the body weight increase and feed requirement rate revealed to interact between ME and CP (P<0.05). During the whole experiment period of the 5 weeks, the feed requirement rate was improved in ME 3,100 kcal/kg treated group than the groups treated with ME 3,000 kcal/kg, and the CP (20) 18% treatment groups resulted to show higher values than other treatment groups (P<0.05). Body weight increase was high in CP (22) 22% treated groups than those of CP (21) 21% and (20) 18% treated groups, and the interaction between ME and CP was found at body weight increase and feed requirement rate (P<0.05). Although blood albumin and total cholesterol levels were elevated in ME 3,100 kcal/kg treated group than ME 3,000 kcal/kg treated group, but neutral fat content was reduced (P<0.05). On the other hand, the total cholesterol content was increased in CP (22) 21% treated group than CP (22) 20% and CP (20) 18% treated groups (P<0.05). Experiment 2: The body weight increase in 0-2 weeks was higher in ME 3,100 kcal/kg treated group than ME 3,000 kcal/kg treated group, and it was highly improved in CP 22% treated group than CP 20% treated group by showing the interaction between CP and ME (P<0.05). The significant improvement of feed requirement rate was observed in CP 21% and 22% treated groups compared to CP 20% treated group (P<0.05). The productivity between the growth period from 3 to 5 weeks of age and whole growth period resulted to show no significant difference. Although no difference was observed in blood composition between treated groups, the interaction of ME and CP on cholesterol content was accepted at the range of P<0.05). Therefore, it is considered that the appropriate dietary protein level within feed for the physiology of growing broiler chicks was 22% or more for the first two weeks and protein level of 21% or 20% from 3 to 5 weeks old for the maximization of productivity. Even if the energy level within feed had some partial effects on the productivity, but did not show consistency. So, further experiments needto be conducted by differentiating the energy level.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.1057-1060
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• 2011

본 연구는 건강신념모형의 주요 변수와 고지혈증 환자의 건강행태와의 관계를 파악하여 고지혈증 환자의 건강행태를 촉진하고 더 나아가 만성질환 보건사업 및 교육프로그램을 계획하는데 기초 자료를 제공하고자 시도되었다. 자료는 2009년 07월부터 2010년 9월까지 총콜레스테롤이 240mg/dl 이상이고, 중성지방이 200mg/dl 이상으로 고지혈증을 진단받은 20세 이상의 성인 남녀 146명을 대상으로 구조화된 설문지를 이용하여 조사하였으며, SPSS WIN(14.0 한글판) 프로그램을 이용하여 Chronbach's alpha의 신뢰성 분석, 요인분석, 단변량 및 다변량 분석을 시행하였다. 본 연구의 결과는 다음과 같다. 첫째, 본 연구에서는 LDL-cholesterol, HDL-cholesterol, TG에 대한 인지수준 중 TG에 대한 인지가 가장 높았고, 3가지 모두를 인지한 경우는 28.08%였다. 또한 9가지 항목에 대한 고지혈증 지식수준은 9점 만점에 평균 6.51이었으며, 지식수준이 높을수록 건강행태수준도 높았다. 둘째, 요인분석을 통하여 10개의 건강행태를 2개 요인으로 재분류 하였다. 그 결과, 건강행태 요인 1은 '식이, 운동 습관 및 고지혈증 검사 및 관련 검사요인', 건강행태 요인 2는 '흡연, 음주 습관 및 고지혈증 치료 관련 요인'이었다. 건강행태 요인1에 유의한 관련성이 있는 건강신념변수는 심각성, 이득, 장애로 나타났고, 취약성은 상관 관계가 없는 것으로 나타났다. 각 신념 요인들과 건강행태 간의 상관되는 순서는 이득(r =.455), 심각성 (r=.38), 장애(r=-.244) 순으로 나타나 고지혈증에 대한 이득 인식이 건강행태 요인1과 가장 관련성이 높은 것으로 파악되었다. 그러나, 건강행태 요인2는 건강신념변수와 관련성이 없는 것으로 나타났다. 셋째, 행동계기에 따른 건강행태의 관계를 살펴보면, 교육을 받았을 때 건강행태 요인1과 요인2에 모두 유의한 차이를 보이는 것으로 나타나, 교육이 고지혈증 환자의 건강행태에 중요한 영향을 미치는 것을 보여 주었다. 넷째, 다중회귀분석 결과 고지혈증 건강행태 요인1에 영향을 미치는 요인 중 유의한 요인으로 인지된 심각성 및 이점 신념요인, 교육여부, 보건소 교육정도 이었다. 건강행태 요인2에서는 성별, 연령, 교육여부가 유의한 영향을 미치는 요인으로 나타났다. 이상의 결과를 종합하면 건강신념모형이 고지혈증 건강행태를 예측하는데 적합한 모형이라고 판단 할 수 있으며, 건강행태 요인 특성에 따라 건강신념변수 중 고지혈증 예방에 대한 이득을 높이 인식할 수 있도록 프로그램과 교육목표를 설정하면 보다 효과적인 교육이 될 것이라 생각된다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.8
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• pp.24-32
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• 2006

Using a deterministic design optimization, the effect of uncertainty can result in violation of constraints and deterioration of performances. For this reason, design optimization is required to guarantee reliability for constraints and ensure robustness for an objective function under uncertainty. Therefore, this study drew Monte Carlo Simulation(MCS) for the evaluation of reliability and robustness, and selected an artificial neural network as an approximate model that is suitable for MCS. Applying to the aero-structural optimization problem of aircraft wing, we can explore robuster optima satisfying the sigma level of reliability than the baseline.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.74-74
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• 2022

본 연구는 붉나무의 기능성 성분의 산업화 활용을 위한 고품질의 붉나무 1년생 용기묘 대량생산을 위해 실시되었다. 붉나무 1년생 용기묘의 묘목품질의 향상을 위해 다양한 농도의 시비처리하여 우량묘 생산에 적합한 시비수준을 구명하고자 하였다. 시비실험은 무시비구 포함하여 수용성 복합비료 (N:P:K=20:20:20, v/v)를 1,000mg·L^-1, 2,000mg·L^-1, 3,000mg·L^-1 수준으로 실시하였다. 시비처리는 붉나무 용기묘의 간장과 근원경 생장은 1,000mg·L^-1 시비처리구에서 생장이 가장 좋게 나타났으며 시비수준이 증가할수록 감소하는 경향을 보였다. 뿌리형태 특성분석에서도 전체뿌리길이, 투영단면적, 표면적 및 뿌리부피가 간장과 근원경 생장과 동일한 경향을 보이는 것으로 조사되었다. 건물 생산량은 부위별 잎, 줄기, 뿌리 및 전체가 모두 1,000mg·L^-1 시비처리구에서 가장 높았으며, 그 이상의 시비수준에서는 점점 감소하는 경향을 보였다. H/D(Hight/Root collar diameter)율은 전체가 3.82(무시비구) ~ 4.90, T/R(Top/Root)율은 전체가 0.56(1,000mg·L^-1 시비처리구) ~ 0.82로 조사되었다. 시비처리 에 의한 붉나무의 LWR(Leaf dry weight ratio)은 무시비구, SWR(Shoot dry weight ratio)은 3,000mg·L^-1 시비처리구, 그리고 RWR(Root dry weight ratio)은 1,000mg·L^-1 시비처리구에서 유의적 차이를 보이며 높게 나타났다. 묘목품질지수(QI)의 경우 1,000mg·L^-1 시비처리구에서 12.13으로 다른 시비수준들보다 월등히 높았다. 본 실험의 결과를 종합하면, 뿌리발달이 좋은 우량한 붉나무 생산에 적절한 시비수준은 1,000mg·L^-1 정도인 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5565-5570
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• 2015

Implicit citation sentence recognition is to locate citation sentences which lacks explicit citation markers, from articles' full-text. State-of-the-art approaches exploit word ngrams, clue words, researcher's surnames, mentions of previous methods, and distance relative to nearest explicit citation sentences, etc., reaching over 50% performance. However, most previous works have been conducted on English. As for Korean, a rule-based method using positive/negative clue patterns was reported to attain the performance of 42%, requiring further improvement. This study attempted to learn to recognize implicit citation sentences from Korean literatures' full-text using Korean lexical features. Different lexical feature units such as Eojeol, morpheme, and Eumjeol were evaluated to determine proper lexical features for Korean implicit citation sentence recognition. In addition, lexical features were combined with the position features representing backward/forward proximities to explicit citation sentences, improving the performance up to over 50%.

• Journal of the Institute of Convergence Signal Processing
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• v.7 no.1
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• pp.17-23
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• 2006

In recent years, RFID has received much attention because of spread usage in industrial applications including factory, material flow, logistics and defense areas. However, there is only CRC-16 for error detection in ISO/IEC 18000-6 Protocols prepared for 860-960 MHz RFID, high error rates are expected in cases of high level of security and noisy envirionment. In this paper, we propose a usage of convolution code as a method for satisfying the high level of security requirement and system error performance.'1'he signal control function is implemented in a microprocessor with RF modulation and the convolutional encoding and Viterbi decoding are implemented in an FPGA chip.'The frame error rates are measured with and without convolution coding under the channel conditions of line-of- sight and non line-of-sight, respectively.