• 한국건축시공학회지
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• 제4권2호
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• pp.129-136
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• 2004

High fluidity concrete(HFC) requires high dosage of superplasticizer to acquire sufficient fluidity, and high contents of fine powder and viscosity enhancing admixtures to resist segregation. The use of high amount of admixtures to make HFC at batcher plant in ready mixed concrete company is one of the reasons to raise the manufacturing cost of HFC. For this reason, new type of manufacturing method of HFC are described using both flowing concrete method and segregation reducing superplasticizer(SRS) in order to gain economical profit and offer the convenience for quality control.. As dosage of melamine based superplasticizer increases, it shows that fluidity and bleeding increase, while air contents and ratio of segregation resistance decrease. It also shows that addition of viscosity agent into superplasticizer reduce bleeding and improve segregation resistance of concrete. Dosage of AE agent into superplasticizer containing viscosity agent recovers loss of air contents during flowing procedure. Combination of proper contents of superplasticizer, viscosity agent and AE agent make possible to develope segregation reducing type superplasticizer. Compressive strength of high fluidity concrete applying flowing method with it is higher than that of base concrete. No differences of compressive strength between compacting methods are found. For the estimation of construction cost of high fluidity concreting using segregation reducing type superplasicizer, under same strength levels, although material cost of high fluidity concrete is somewhat higher than that of plain concrete due to segregation reducing type superplasticizer cost, labor cost and equipment cost of high fluidity concrete is cheaper than that of plain concrete. However, based on the strength differences, high fluidity concrete shows lower material cost, labor cost and equipment cost than that of plain concrete due to decreasing in size of member and re-bar caused by high strength development of concrete.

• 한국환경과학회지
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• 제29권11호
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• pp.1065-1078
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• 2020

The statistical characteristics of aerosol-cloud interactions over East Asia were investigated using Moderate Resolution Imaging Spectroradiometer satellite data. The long-term relationship between various aerosol and cloud parameters was estimated using correlation analysis, principle component analysis, and Aerosol Indirect Effect (AIE) estimation. In correlation analysis, Aerosol Optical Depth (AOD) was positively Correlated with Cloud Condensation Nuclei (CCN) and Cloud Fraction (CF), but negatively correlated with Cloud Top Temperature (CTT) and Cloud Top Pressure (CTP). Fine Mode Fraction (FMF) and CCN were positively correlated over the ocean because of sea spray. In principle component analysis, AOD and FMF were influenced by water vapor. In particular, AOD was positively influenced by CF, and negatively by CTT and CTP over the ocean. In AIE estimation, the AIE value in each cloud layer and type was mostly negative (Twomey effect) but sometimes positive (anti-Twomey effect). This is related to regional, environmental, seasonal, and meteorological effects. Rigorous and extensive studies on aerosol-cloud interactions over East Asia should be conducted via micro- and macro-scale investigations, to determine chemical characteristics using various meteorological instruments.

• 한국정보통신학회논문지
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• 제22권4호
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• pp.683-690
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• 2018

본 논문에서는 배열 안테나 기반의 MVDR (minimum variance distortionless response) 항 재밍 GPS (global positioning system) 수신기에서 안테나 경로 사이에 존재하는 이득, 위상, 지연 편차를 교정하기 위한 안테나 교정 기법을 제안한다. 제안하는 기법은 다중 안테나 시스템에서 안테나 경로들 사이의 이득, 위상, 지연 편차를 추정하고 이를 보상한다. 경로 간 이득, 위상, 지연 편차를 정확히 추정하기 위해 좋은 상관 특성을 갖는 파일럿 신호가 사용된다. 교차 상관에 기반하여 지연 편차가 먼저 추정되며 이후에 이득과 위상 편차가 추정된다. 정밀한 지연 편차 추정 및 보상을 위해 보간기법을 사용하는데 이산 푸리에 변환 (DFT) 기반의 보간기법으로 계산 복잡도를 감소시킨다. 제안된 기법은 MATLAB을 이용한 컴퓨터 모의실험을 통해 검증한다. 모의실험 결과에 따르면 제안하는 기법을 적용하면 이득, 위상 시간 지연 편차를 각각 0.01 dB, 0.05 도, 0.5 ns 이내로 줄일 수 있다.

• 한국환경농학회지
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• 제40권3호
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• pp.149-160
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• 2021

BACKGROUND: Concerns have been raised about the impact of recent high concentrations of fine dust on human health. Ammonia(NH₃) reacts with sulfur oxides and nitrogen compounds in the atmosphere to form ultrafine ammonium sulfate and ammonium nitrate (PM2.5). There is a growing need for accurate estimates of the amount of ammonia emitted during agricultural production. Therefore, in this study, ammonia emissions generated from the cultivation of leafy perilla in plastic houses were determined. METHODS AND RESULTS: Cow manure compost, swine manure compost, and poultry manure compost each at 34.6 ton ha^-1, the amount commonly used by farmers in the field, was sprayed on the soil surface. Just after spraying cow manure compost, swine manure compost, and poultry manure compost, the ammonia was periodically measured and analyzed to be 22.5 kg ha^-1, 22.8 kg ha^-1, and 85.2 kg ha^-1, respectively. The emission factors were estimated at 70.0 kg-NH₃ ton-N, 62.8 kg-NH₃ ton-N, and 234.1 kg-NH₃ ton-N, respectively. Most ammonia was released in the two weeks after application of the compost and then the amount released gradually decreased. CONCLUSION: Therefore, it is necessary to improve the emission factor through a study on the estimation of ammonia emission by type of livestock manure and major farming types such as rice fields and uplands, and to update data on the production, distribution, and sales of livestock manure.

• 자원ㆍ환경경제연구
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• 제27권4호
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• pp.695-723
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• 2018

최근 들어 기후변화로 인한 이상기후가 빈발해지고, 미세먼지 문제가 심각해짐에 따라 석탄화력발전에 대한 부정적인 인식이 커지고 있고, 경주 지진 이후 원자력 발전에 대한 사회적 수용력도 감소하고 있다. 본 연구는 선택실험법을 이용하여 중장기 전원별 일반 소비자들의 지불용의액을 도출함으로써 각 발전원에 대한 경제적 가치를 추정하고, 소비자들의 선호 이질성을 검토하였다. 적용한 방법론은 혼합로짓과 잠재계층모형이며, 혼합로짓 추정결과 특히 원자력에서 선호이질성이 크게 나타나는 것을 확인하였다. 잠재계층모형 추정결과 집단1은 신재생에너지를 선호하며, 집단2는 기존의 화석에너지를 선호하였다. 집단3은 사전편찬식 선호(제한적 합리성)을 보이는 집단으로 추정되었다. 사전편찬식 선호를 보이는 집단을 고려하지 않을 경우 지불용의액 추정의 신뢰성이 낮아지고, 속성의 유의성이 낮아지는 결과가 나타나는 것을 확인하였다. 또한 집단별로 에너지원에 대한 선호 이질성이 크게 나타나, 향후 전원구성에 있어 전력 소비자의 선호 이질성을 감안한 정책이 필요할 것이다.

• Computers and Concrete
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• 제32권2호
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• pp.149-163
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• 2023

One of the main design parameters traditionally utilized in projects of geotechnical engineering is the uniaxial compressive strength. The present paper employed three artificial intelligence methods, i.e., the stochastic fractal search (SFS), the multi-verse optimization (MVO), and the vortex search algorithm (VSA), in order to determine the compressive strength of concrete (CSC). For the same reason, 1030 concrete specimens were subjected to compressive strength tests. According to the obtained laboratory results, the fly ash, cement, water, slag, coarse aggregates, fine aggregates, and SP were subjected to tests as the input parameters of the model in order to decide the optimum input configuration for the estimation of the compressive strength. The performance was evaluated by employing three criteria, i.e., the root mean square error (RMSE), mean absolute error (MAE), and the determination coefficient (R²). The evaluation of the error criteria and the determination coefficient obtained from the above three techniques indicates that the SFS-MLP technique outperformed the MVO-MLP and VSA-MLP methods. The developed artificial neural network models exhibit higher amounts of errors and lower correlation coefficients in comparison with other models. Nonetheless, the use of the stochastic fractal search algorithm has resulted in considerable enhancement in precision and accuracy of the evaluations conducted through the artificial neural network and has enhanced its performance. According to the results, the utilized SFS-MLP technique showed a better performance in the estimation of the compressive strength of concrete (R²=0.99932 and 0.99942, and RMSE=0.32611 and 0.24922). The novelty of our study is the use of a large dataset composed of 1030 entries and optimization of the learning scheme of the neural prediction model via a data distribution of a 20:80 testing-to-training ratio.

• 한국도로학회논문집
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• 제11권2호
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• pp.99-109
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• 2009

소입경 골재노출콘크리트포장은 콘크리트 타설 직후 포장표면에 응결지연제를 살포하여 표면으로부터 깊이 2$\sim$3mm 정도의 모르타르 경화를 늦추게 한 후 표면의 모르타르 제거를 통해 굵은골재를 포장표면에 노출시키는 공법이다. 소입경 골재노출콘크리트포장은 타이어-노면 소음이 일반 콘크리트포장보다 4$\sim$5dB(A)정도 작으면서도 적정한 미끄럼저항을 장기간 유지한다는 장점을 가지고 있다. 소입경 골재노출콘크리트포장이 적정 평균조직깊이, 노출도 및 미끄럼저항을 확보하여 강도, 소음저감효과 및 장기간 적정 미끄럼저항성을 유지 하는 것도 중요하지만 성공적인 소입경 골재노출콘크리트포장의 건설을 위해서는 온도, 습도 등의 요인으로 발생하는 환경하중에 대한 내구성이 요구된다. 콘크리트포장은 타설 후 경화과정에서 수분손실 및 초기건조로 인하여 필연적으로 체적변화가수반되며 과도한 체적변화는 콘크리트 균열발생에 주요한 원인이 될 수 있다. 동결융해를 받고 있는 지역에서 제설제를 사용할 경우 표면박리현상이 발생한다. 이러한 균열 및 스케일링은 포장체의 내구성을 저하시키고 미끄럼저항을 감소시켜 장기공용성을 단축시키는 직접적인 요인으로 작용하게 된다. 따라서 본 연구에서는 소입경 골재노출콘크리트포장에 대하여 수분증발로 인한 수축균열 제어 성능 및 제설제를 사용하였을 경우에 반복되는 동결융해작용으로 인한 스켈링에 대해 내구성을 평가하여 환경하중 저항성에 대해 고찰하였다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2003년도 봄 학술발표회 논문집
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• pp.569-576
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• 2003

Based on the equivalent uniform stress concept Presented by Seed and Idriss, sinusoidal cyclic loads which simplified earthquake loads have been applied in evaluating the liquefaction resistance strength experimentally. However, the liquefaction resistance strength of soil based on the equivalent uniform stress concept can not exactly reflect the dynamic characteristics of the irregular earthquake motion. The liquefaction assessment method which was invented by using the equivalent uniform stress concept is suitable for the severe earthquake region such as Japan or USA, so the proper method to Korea is needed. In this study, estimation of the resistance to liquefaction was conducted by applying real earthquake loading to the cyclic triaxial test. From the test results, the characteristics of the fine sand under moderate earthquake were analyzed and compared with the results under strong earthquakes. Typically real earthquake loads used in this study are divided into two types - impact type and vibration type. Furthermore, results of the liquefaction resistance strength based on the equivalent uniform stress concept and tile concept using real earthquake loading were compared.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권11호
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• pp.2720-2736
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• 2013

Multi-view face detection has become an active area for research in the last few years. In this paper, a novel multi-view human face detection algorithm based on improved real Adaboost is presented. Real Adaboost algorithm is improved by weighted combination of weak classifiers and the approximately best combination coefficients are obtained. After that, we proved that the function of sample weight adjusting method and weak classifier training method is to guarantee the independence of weak classifiers. A coarse-to-fine hierarchical face detector combining the high efficiency of Haar feature with pose estimation phase based on our real Adaboost algorithm is proposed. This algorithm reduces training time cost greatly compared with classical real Adaboost algorithm. In addition, it speeds up strong classifier converging and reduces the number of weak classifiers. For frontal face detection, the experiments on MIT+CMU frontal face test set result a 96.4% correct rate with 528 false alarms; for multi-view face in real time test set result a 94.7 % correct rate. The experimental results verified the effectiveness of the proposed approach.

• 한국소음진동공학회논문집
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• 제27권1호
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• pp.20-27
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• 2017

This study investigated the problems in current practice of drive-train resonance analysis procedure and suggested solutions. The first problem is the resonance occurrence at the un-identified resonance point by the current practice, as for a solution the force spectrum analysis for each critical force transmitting component was suggested. The second one is the inaccurate estimation of potential resonance point in eigenfrequency analysis because of the non-consideration about the eigenfrequency dependency on rotor-speed, the fine linearization at each rotor speed point all over operational range was proposed to account for the affection. Lastly the insufficient time for resonance activation under run-up simulation condition was recognized as a problem in resonance load increasing analysis, as an alternative, steady state condition was suggested to estimate the maximum load increasing level.