• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.393-396
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• 2003

Conventional method for designing and installing anechoic chambers is to utilize porous wedges for the sound absorbers. As cutoff frequency lowers down such as 63Hz or 50Hz, the corresponding long wedges diminish the free field area of the chamber. In this study, a new broadband compact absorber(BCA) is introduced which absorbs acoustic energy down to 50Hz. Most prominent is that it measures only 250mm thick. A freely vibrating panel between the non-fibrous absorbers allows tuned absorption at the low frequency region in addition to the high frequency absorption resulted from the conventional absorber installed at the front. Standing waves at low frequency range are suppressed as the BCA modules which are tuned to the corresponding modes absorb sound energy effectively, resulting in anechoic condition. Not only the low frequency performances, but the high frequency absorption is measured to meet adequate conditions for the anechoic chamber. Realized BCA chambers are presented.

• 전자통신동향분석
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• 제36권2호
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• pp.75-82
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• 2021

Online action detection (OAD) in a streaming video is an attractive research area that has aroused interest lately. Although most studies for action understanding have considered action recognition in well-trimmed videos and offline temporal action detection in untrimmed videos, online action detection methods are required to monitor action occurrences in streaming videos. OAD predicts action probabilities for a current frame or frame sequence using a fixed-sized video segment, including past and current frames. In this article, we discuss deep learning-based OAD models. In addition, we investigated OAD evaluation methodologies, including benchmark datasets and performance measures, and compared the performances of the presented OAD models.

• Structural Engineering and Mechanics
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• 제90권6호
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• pp.577-590
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• 2024

Considering the Column-Supported Group Silos (CSGSs) often arranged by rows in practical applications, earthquake responses will be affected by group effect. Since group effect presenting uncertainties, establishing the analytic model and evaluating characteristics of CSGSs seems necessary. This study aimed at providing a simplified method to evaluate seismic performances of the CSGSs. Firstly, the CSGSs with different storage granule heights are used as numerical examples to derive the base shear formula for three-particle dynamic analytical model. Then, the base shear distribution coefficient is defined as the group effect index. The simplified calculation method of the group silos based on the distribution coefficients is proposed. Finally, based on the empty, half, and full granular storage conditions, the empirical design parameters for the group silos system are given by combining finite element simulation with shaking table test. The group effect of storage granule heights of group silos on its frequency and base shear are studied by comparative analysis between group silos and independent single silo. The results show that the frequency of CSGSs decreases with the increasing weight of the stored granule. The connection between the column top and silo bottom plate is vulnerable, and structural measures should be strengthened to improve its damage resistance. In case of different storage granule heights, distribution coefficients are effective to reconstruction the group effect. The complex calculations of seismic response for CSGSs can be avoided by adopting the empirical distribution coefficients obtained in this study. The proposed method provides a theoretical reference for evaluation on the seismic performances of the CSGSs.

• Structural Engineering and Mechanics
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• 제55권2호
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• pp.413-434
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• 2015

The vibrations caused by metro operation propagate through surrounding soil, further induce secondary vibrations of the nearby underground structures and adjacent buildings. In order to investigate the effects of vibrations caused by metro on use performance of buildings, vibration experiment of Chengdu museum was carried out firstly. Then, the coupling tunnel-soil-structure finite element model was established with software ANSYS detailedly, providing a useful tool for investigating the vibration performances of structures. Furthermore, the dynamic responses and vibration predictions of museum building were obtained respectively by the whole process time-domain analysis and frequency-domain analysis, which were compared with the vibration reference values of museum. Quantitative analyses of the museum building performance were carried out, and the possible tendency and changing laws of vibration level with floors were proposed. Finally, the related vibration isolation measures were compared and discussed. The tests and analysis results show that: The vertical vibration responses almost increased with the increasing of building floors, while weak floors existed for the curve of horizontal vibration; The vertical vibrations were larger than the horizontal vibrations, indicating the vibration performances of building caused by metro were characterized with vertical vibrations; The frequencies of the museum corresponding to the peak vibration levels were around 6~17Hz; The damping effect of structure with 33m-span cantilever on vertical vibration was obvious, however, the damping effect of structure with foundation vibration isolators was not obvious.

• 생물정신의학
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• 제17권2호
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• pp.70-78
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• 2010

Objectives : This study investigated the differences of working memory among the subtypes of ADHD. Methods : Eighty-one children and adolescents with ADHD and thirty normal controls were recruited. Children with any cognitive disorders and low intelligence were excluded. In order to evaluate the verbal and visuospatial working memory, Digit span and Finger windows tasks were measured, respectively. Performances on these measures between children with ADHD and controls were compared. Further, performances among the groups of ADHD predominantly inattentive(ADHD-IA)(n=40), predominantly hyperactive-impulsive(ADHD-HI)(n= 10), and combined type(ADHD-C)(n=31), were compared. Results : Scores of Finger windows forward task were lower in the ADHD group as compared to the control group, whereas, the Digit span forward showed no difference. Both scores of Digit span backward and Finger windows backward task were lower in the ADHD group than the controls. Children with ADHD-IA performed poorer than children with ADHD-C on the Finger windows backward task. Conclusion : The results of this study showed that children with ADHD have deficits in spatial short-term memory and verbal and visuospatial working memory when compared to normal children. The deficits were evident in children with ADHD-IA subtype and in particular, performance on the visuospatial working memory task in this group was poorer than the ADHD-C group.

• 한국유기농업학회:학술대회논문집
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• 한국유기농학회 2009년도 하반기 학술대회
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• pp.284-284
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• 2009

EFA production systems have through necessity resulted in the development of innovative practices for weed, pest and diseases control, for example, using ducks and snails for weed control in paddy fields. These practices began to be introduced in the early 1990's and the techniques have become more popular and have been adapted to suit regional conditions. In this study, the production practices, productivity and economic performances of organic and non-chemical rice farming adopting ducks and snails for weed control were compared. In the production practices, Korean organic and non-chemical farming seem to have several concerns in terms of sustainability. It comprises lack of resistant variety use and rotational cropping system as well as high dependency upon external inputs such as organic fertilizer and farming materials for pest control. The production level of organic farming is approximately similar level but 20% higher income than non-chemical farming, while, when it was compared with conventional farming organic farming showed 20% lower productivity but 20% higher income. Organic farming shows 15% to 18% higher profits than non-chemical farming as the snail-using organic farming tends to have higher income and lower input costs than duck-using organic farming. This may encourage more farmers to convert to organic production using these techniques than simply non-chemical farming in the future. This organic conversion could be more promoted by policy intervention. However, it may result in increased supply and therefore decreased prices for organic rice in the long term unless further market demand occurs. Balanced policy measures considering production as well as marketing and consumption are urgently required for the sustainable development of organic farming.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2005년도 춘계학술대회
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• pp.379-392
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• 2005

우리나라와 국가 규모가 비슷한 이스라엘의 경우에는 벤처캐피탈이 정부주도로 출범한 후 육성되었다. 이러한 벤처캐피탈의 특성은 창업자가 연구개발에만 전념할 수 있어서 제품의 품질을 높일 수 있으며 동시에 사업이나 제품 완성도를 높일 수 있는 부가가치가 큰 중요한 금융업이 될 전망이다. 이번 연구에서는 이러한 벤처캐피탈이 가지고 있는 위험특성에 대한 분석과 위험을 고려한 투자성과 평가를 행하였다. 이번 연구에서는 선행연구와 동일하게 비체계적 위험이 체계적 위험보다 큰 것으로 나타났는데, 이는 소수의 지역이나 업종에 집중투자한 결과로 보인다. 위험을 고려한 투자성과분석을 위하여 총위험을 고려한 Sharpe척도와 체계적 위험을 고려한 평가모형 Jensen척도를 토대로 종합주가지수와 코스닥 벤처지수, 벤처캐피탈의 성과를 비교분석에서는 벤처캐피탈의 위험과 투자성과가 크게 낮은 것으로 파악되었다. 이는 Sharpe 및 Jensen 척도에서 검증이 된 것으로 (-)로서 시장포트폴리오(종합주가지수)나 코스닥 벤처지수 보다 투자성과가 낮은 것으로 나타났다. 이번 연구의 한계점으로는 하지만 표본의 수가 짧은 문제점을 지니고 있다.

• 기술혁신학회지
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• 제9권1호
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• pp.1-25
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• 2006

세계화, 다변화 경쟁 속에 연구개발을 통한 기술혁신은 기업의 지속가능한 성장을 위한 경쟁우위의 핵심역량으로 인식되고 있다. 이에 기술혁신과 기업성과의 관계에 대한 관심이 집중되고 있으나, 기존 연구는 이를 개념적이거나 정성적 수준에서 다루어 왔으며, 주로 혁신활동에 집중되어 왔다. 본 연구에서는 기업의 특성에 따라 기술혁신과 기업성과의 관계를 11년간 162개 국내 하이테크 기업을 대상으로 횡단면 시계열자료를 통해 실증적으로 분석하였다. 국내기업의 기술혁신 특성으로 규모효과를 제거한 특허강도, 연구개발강도, 무형자산강도를 대리지표로 사용하였고, 기업성과를 위해 순이익을 대리지표로 사용하였다. 11년간의 장기분석을 위해 변수를 실질가치화하여 분석한 결과 기업성과는 특허강도와 연구개발강도와 양의 관계를 가짐을 확인하였다. 또한 기업의 기술혁신 특성에 따라 분류한 8개 범주별 기업성과의 차이가 나타남을 밝혔다. 이를 통해 높은 특허강도와 연구개발강도를 보이는 기업일수록 높은 기업성과를 향유하고 있음을 알 수 있었다.

• 전자공학회논문지CI
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• 제45권6호
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• pp.179-186
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• 2008

본 논문에서는 베이지안 알고리즘이 불균형 데이터의 학습 시 나타나는 현상을 분석하고 성능 평가 방법을 비교하였다. 사전 데이터 분포를 가정하고 불균형 데이터 비율과 분류 복잡도에 따라 발생된 분류 문제에 대해 베이지안 학습을 수행하였다. 실험 결과는 ROC(Receiver Operator Characteristic)와 PR(Precision-Recall) 평가 방법의 AUC(Area Under the Curve)를 계사하여 불균형 데이터 비율과 분류 복잡도에 따라 분석되었다. 비교 분석에서 불균형 비율은 기 수행된 연구 결과와 같이 베이지안 학습에 영향을 주었으며, 높은 분류 복잡도로부터 나타나는 데이터 중복은 학습 성능을 방해하는 요인으로 확인되었다. PR 평가의 AUC는 높은 분류 복잡도와 높은 불균형 데이터 비율에서 ROC 평가의 AUC보다 학습 성능의 차이가 크게 나타났다. 그러나 낮은 분류 복잡도와 낮은 불균형 데이터 비율의 문제에서 두 측정 방법의 학습 성능의 차이는 미비하거나 비슷하였다. 이러한 결과로부터 PR 평가의 AUC는 클래스 불균형 문제의 학습 모델의 설계와 오분류 비용을 고려한 최적의 학습기를 결정하는데 도움을 줄 수 있다.

• Geomechanics and Engineering
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• 제12권3호
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• pp.441-464
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• 2017

The determination of the mixture parameters of stabilization has become a great concern in geotechnical applications. This paper presents an effort about the application of artificial intelligence (AI) techniques including radial basis neural network (RBNN), multi-layer perceptrons (MLP), generalized regression neural network (GRNN) and adaptive neuro-fuzzy inference system (ANFIS) in order to predict the unconfined compressive strength (UCS) of silty soil stabilized with bottom ash (BA), jute fiber (JF) and steel fiber (SF) under different freeze-thaw cycles (FTC). The dosages of the stabilizers and number of freeze-thaw cycles were employed as input (predictor) variables and the UCS values as output variable. For understanding the dominant parameter of the predictor variables on the UCS of stabilized soil, a sensitivity analysis has also been performed. The performance measures of root mean square error (RMSE), mean absolute error (MAE) and determination coefficient ($R^2$) were used for the evaluations of the prediction accuracy and applicability of the employed models. The results indicate that the predictions due to all AI techniques employed are significantly correlated with the measured UCS ($p{\leq}0.05$). They also perform better predictions than nonlinear regression (NLR) in terms of the performance measures. It is found from the model performances that RBNN approach within AI techniques yields the highest satisfactory results (RMSE = 55.4 kPa, MAE = 45.1 kPa, and $R^2=0.988$). The sensitivity analysis demonstrates that the JF inclusion within the input predictors is the most effective parameter on the UCS responses, followed by FTC.