• 제목/요약/키워드: environmental mismatch

검색결과 51건 처리시간 0.032초

고정밀 장비의 진동허용규제치에 대한 시간 및 주파수 영역에서 나타나는 불일치 문제에 관한 연구 (A Study on the Mismatch of Time and Frequency Domain for Vibration Criteria of Sensitive Equipment)

  • 이홍기;김강부;백재호
    • 반도체디스플레이기술학회지
    • /
    • 제1권1호
    • /
    • pp.1-7
    • /
    • 2002
  • Modem technology depends on the reliability of extremely high precision equipments. In the production of semiconductor wafer, optical and electron microscopes, ion-beam, laser device must maintain their alignments within a sub-micrometer. This equipment requires a vibration free environment to provide its proper function. Therefore, this high technology equipments require very strict environmental vibration criteria because it is used as basic data for the design of building structure and structural dynamics of equipment. In this paper, the new approach is proposed to investigate the mismatch problem of time and frequency domain for vibration criteria of sensitive equipment. The proposed approach is based on a vibration measurement data and a relative transfer function which can be obtained by experiment or analysis.

  • PDF

도시녹지 미세먼지 조절 서비스 수요와 공급의 공간적 차이 분석 - 수원시를 대상으로 - (Spatial Analysis on Mismatch Between Particulate Matter Regulation Services Supply and Demand in Urban Area - A Case Study of Suwon -)

  • 강다인;권혁수;최태영;박찬;김성훈
    • 한국환경복원기술학회지
    • /
    • 제24권2호
    • /
    • pp.57-69
    • /
    • 2021
  • Urban green spaces supply ecosystem services (ESs), which are consumed by city residents and generate demand, to improve air quality. It is important to determine supply and demand for ESs and reduce the gap for efficient management. This study proposed a method to use the concept of supply and demand for ESs in the decision-making process for urban planning or management. PM10 concentrations were converted to weight for demand assessment on PM10 reduction, and PM10 absorption capacity of all green spaces including the forests, and that of urban green spaces excluding forests, was calculated for each supply assessment. The differences in the calculated supply and demand were analyzed to derive the mismatched regions in Suwon. As a result, regions with big forested areas showed sufficient supply, indicating that the degree of mismatch among administrative neighborhoods (dong) varied greatly depending on whether they had a forest. An analysis of only urban green spaces showed that all neighborhoods lacked supply. Forests with high PM10 absorption capacity had a great effect, but urban green spaces can be considered a key element in reducing PM10 in daily life. Considering the mismatch of supply and demand, spatial distribution, and population distribution, it is possible to prioritize the supply of urban green spaces to reduce PM10 and, furthermore, support decision making for priority zones subject to forest conservation and designation and cancellation of green spaces, which gives significance to this study.

잡음 차폐를 이용한 온라인 모델 보상 (On-line model compensation using noise masking effect for robust speech recognition)

  • 정규준;조훈영;오영환
    • 대한음성학회:학술대회논문집
    • /
    • 대한음성학회 2003년도 5월 학술대회지
    • /
    • pp.215-218
    • /
    • 2003
  • In this paper we apply PMC (parallel model combination) to speech recognition system online. As a representative of model based noise compensation techniques, PMC compensates environmental mismatch by combining pretrained clean speech models and real-time estimated noise information. This is very effective approach for compensating extreme environmental mismatch but is inadequate to use in on-line system for heavy computational cost. To reduce the computational cost and to apply PMC online, we use a noise masking effect - the energy in a frequency band is dominated either by clean speech energy or by noise energy - in the process of model compensation. Experiments on artificially produced noisy speech data confirm that the proposed technique is fast and effective for the on-line model compensation.

  • PDF

심층신경망 기반의 음성인식을 위한 절충된 특징 정규화 방식 (Compromised feature normalization method for deep neural network based speech recognition)

  • 김민식;김형순
    • 말소리와 음성과학
    • /
    • 제12권3호
    • /
    • pp.65-71
    • /
    • 2020
  • 특징 정규화는 음성 특징 파라미터들의 통계적인 특성의 정규화를 통해 훈련 및 테스트 조건 사이의 환경 불일치의 영향을 감소시키는 방법으로서 기존의 Gaussian mixture model-hidden Markov model(GMM-HMM) 기반의 음성인식 시스템에서 우수한 성능개선을 입증한 바 있다. 하지만 심층신경망(deep neural network, DNN) 기반의 음성인식 시스템에서는 환경 불일치의 영향을 최소화 하는 것이 반드시 최고의 성능 개선으로 연결되지는 않는다. 본 논문에서는 이러한 현상의 원인을 과도한 특징 정규화로 인한 정보손실 때문이라 보고, 음향모델을 훈련 하는데 유용한 정보는 보존하면서 환경 불일치의 영향은 적절히 감소시켜 음성인식 성능을 최대화 하는 특징 정규화 방식이 있는 지 검토해보고자 한다. 이를 위해 평균 정규화(mean normalization, MN)와 평균 및 분산 정규화(mean and variance normalization, MVN)의 절충 방식인 평균 및 지수적 분산 정규화(mean and exponentiated variance normalization, MEVN)를 도입하여, 잡음 및 잔향 환경에서 분산에 대한 정규화의 정도에 따른 DNN 기반의 음성인식 시스템의 성능을 비교한다. 실험 결과, 성능 개선의 폭이 크지는 않으나 분산 정규화의 정도에 따라 MEVN이 MN과 MVN보다 성능이 우수함을 보여준다.

실 해상 실험 데이터를 이용한 정합장 처리에서의 특성치 추출 기법 분석 (Matched Field Processing: Ocean Experimental Data Analysis Using Feature Extraction Method)

  • Kim Kyung Seop;Seong Woo Jae;Song Hee Chun
    • The Journal of the Acoustical Society of Korea
    • /
    • 제24권1E호
    • /
    • pp.21-27
    • /
    • 2005
  • Environmental mismatch has been one of important issues discussed in matched field processing for underwater source detection problem. To overcome this mismatch many algorithms professing robustness have been suggested. Feature extraction method (FEM) [Seong and Byun, IEEE Journal of Oceanic Engineering, 27(3), 642-652 (2002)] is one of robust matched field processing algorithms, which is based on the eigenvector estimation. Excluding eigenvectors of replica covariance matrix corresponding to large eigenvalues and forming an incoherent subspace of the replica field, the processor is formulated similarly to MUSIC algorithm. In this paper, by using the ocean experimental data, processing results of FEM and MVDR with white noise constraint (WNC) are presented for two levels of multi-tone source. Analysis of eigen-space of CSDM and FEM performance are also presented.

SPLICE 방법에 기반한 잡음 환경에서의 음성 인식 성능 향상 (Performance Improvement ofSpeech Recognition Based on SPLICEin Noisy Environments)

  • 김종현;송화진;이종석;김형순
    • 대한음성학회지:말소리
    • /
    • 제53호
    • /
    • pp.103-118
    • /
    • 2005
  • The performance of speech recognition system is degraded by mismatch between training and test environments. Recently, Stereo-based Piecewise LInear Compensation for Environments (SPLICE) was introduced to overcome environmental mismatch using stereo data. In this paper, we propose several methods to improve the conventional SPLICE and evaluate them in the Aurora2 task. We generalize SPLICE to compensate for covariance matrix as well as mean vector in the feature space, and thereby yielding the error rate reduction of 48.93%. We also employ the weighted sum of correction vectors using posterior probabilities of all Gaussians, and the error rate reduction of 48.62% is achieved. With the combination of the above two methods, the error rate is reduced by 49.61% from the Aurora2 baseline system.

  • PDF

ACCURACY IMPROVEMENT OF LOBLOLLY PINE INVENTORY DATA USING MULTI SENSOR DATASETS

  • Kim, Jin-Woo;Kim, Jong-Hong;Sohn, Hong-Gyoo;Heo, Joon
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
    • /
    • pp.590-593
    • /
    • 2006
  • Timber inventory management includes to measure and update forest attributes, which is crucial information for private companies and public organizations in property assessment and environment monitoring. Field measurement would be accurate, but time-consuming and inefficient. For the reason, remote sensing technology has been an alternative to field measurement from an economic perspective. Among several sensors, LiDAR and Radar interferometry are known for their efficiency for forest monitoring because they are less influenced by weather and light conditions, and provide reasonably accurate vertical/horizontal measurement for a large area in a short period. For example, Shuttle Radar Topography Mission (SRTM) and National Elevation Dataset (NED) in the U.S. can provide tree height information and DSM. On the other hand, LiDAR DSM (the first return) and DEM (the last return) can also present tree height estimation. With respect to project site of loblolly pine plantation in Louisiana in the U.S., the accuracy of SRTM C-Band approach estimating tree height was assessed by the LiDAR approaches. In addition, SRTM X-Band and NED were also compared with the results. Plantation year in inventory GIS, which is directly related to forest age, is high correlated with the difference between SRTM C-Band and NED. As a byproduct, several stands of age mismatch could be recognized using an outlier detection algorithm, and optical satellite image (ETM+) were used to verify the mismatch. The findings of this study were (1) the confirmation of usefulness of the SRTM DSM for forest monitoring and (2) Multi-sensors- Radar, LiDAR, ETM+, MODIS can be used for accuracy improvement of forest inventory GIS altogether.

  • PDF

공간 미스매치를 고려한 역통근 현상에 관한 연구 - 비수도권 광역대도시권을 대상으로 - (Study on the reverse commuting phenomena considering spatial mismatch: In the non-Seoul metropolitan area)

  • 신학철;우명제
    • 지역연구
    • /
    • 제36권2호
    • /
    • pp.3-12
    • /
    • 2020
  • 최근 국내에서는 대도시를 중심으로 광역화 현상 및 교외화 현상이 나타나고 있으며, 이에 주거지와 고용지의 공간적 불규칙성이 증가하여 공간 미스매치 정도가 심화되고 있다. 이에 따라 원거리 통근이 증가하고 있으며, 비수도권 광역대도시권에서는 역통근 현상이 발생하고 있다. 역통근 현상은 도시민들 중 특정 계층의 고용기회를 제한하며, 비수도권 광역대도시권의 역통근은 자가용 중심의 통근으로 환경오염, 교통혼잡 등 다양한 문제를 야기할 수 있다. 이에, 국내에서는 공간 미스매치 정도와 역통근 관련 연구들이 진행되어왔으나, 다수의 연구들은 수도권을 대상으로 진행되었고, 역통근 현상이 주로 발생되는 비수도권 광역대도시권을 대상으로 이루어진 연구는 미흡한 상황이다. 이에, 본 연구에서는 통근의 발생원인인 공간미스매치를 고려하여 비수도권 광역대도시권에서 나타나는 역통근 현상의 원인을 실증분석하는 것을 목적으로 한다.

8-Hydroxyguanine in DNA Mediates Cell Death of KG-1, a Human Leukemia Cell Line by Inducing Cell Cycle Arrest and Apoptosis

  • Hyun, Jin-Won
    • 한국독성학회:학술대회논문집
    • /
    • 한국독성학회 2001년도 International Symposium on Signal transduction in Toxicology
    • /
    • pp.89-93
    • /
    • 2001
  • All that is presently known about the actions of 8-hydroxyguanine (8-oxoguanine; oh$^{8}$ Gua) in DNA is that it harms genetic integrity. This is even speculation based upon scattered in vitro experimental data such as the mismatch of oh$^{8}$ Gua with A in stead of C and the GC longrightarrow TA transversion observed in the DNA polymerase reaction using an oh$^{8}$ Gua containing oligonucleotide.(omitted)

  • PDF

A Methodology for Fatigue Reliability Assessment Considering Stress Range Distribution Truncation

  • Park, Jun Yong;Park, Yeun Chul;Kim, Ho-Kyung
    • 국제강구조저널
    • /
    • 제18권4호
    • /
    • pp.1242-1251
    • /
    • 2018
  • Not all loads contribute to fatigue crack propagation in the welded detail of steel bridges when they are subjected to variable amplitude loading. For fatigue assessment, therefore, non-contributing stress cycles should be truncated. However, stress range truncation is not considered during typical fatigue reliability assessment. When applying the first order reliability method, stress range truncation occurs mismatch between the expected number of cycles to failure and the number of cycles obtained at the time of evaluation, because the expected number of cycles only counts the stress cycles that contribute to fatigue crack growth. Herein, we introduce a calibration factor to coordinate the expected number of cycles to failure to the equivalent value which includes both contributing and non-contributing stress cycles. The effectiveness of stress range truncation and the proposed calibration factor was validated via case studies.