• Title/Summary/Keyword: Latent factor

검색결과 276건 처리시간 0.026초

APPLICATION OF REMOTE SENSING IMAGERY ON THE ESTIMATE OF EVAPOTRANSPIRATION OVER PADDY FIELD

  • Chang, Tzu-Yin;Chien, Tzu-Chieh;Liou, Yuei-An
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.752-755
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    • 2006
  • Evaportranspiration is an important factor in hydrology cycle. Traditionally, it is measured by using basin or empirical formula with meteorology data, while it does not represent the evaportranspiration over a regional area. With the advent of improved remote sensing technology, it becomes a surface parameter of research interest in the field of remote sensing. Airborne and satellite imagery are utilized in this study. The high resolution airborne images include visible, near infrared, and thermal infrared bands and the satellite images are acquired by MODIS. Surface heat fluxes such as latent heat flux and sensible heat flux are estimate by using airborne and satellite images with surface meteorological measurements. We develop a new method to estimate the evaportranspiration over the rice paddy. The surface heat fluxes are initialized with a surface energy balance concept and iterated for convergent solution with atmospheric correct functions associated with aerodynamic resistance of heat transport. Furthermore, we redistribute the total net energy into sensible heat and latent heat fluxes. The result reveals that radiation and evaporation controlled extremes can be properly decided with both airborne and satellite images. The correlation coefficient of latent heat flux and sensible heat flux with corresponding in situ observations are 0.66 and 0.76, respectively. The relative root mean squared errors (RMSEs) for latent heat flux and sensible heat flux are 97.81 $(W/m^2)$ and 124.33 $(W/m^2)$, respectively. It is also shown that the newly developed retrieval scheme performs well when it is tested by using MODIS date.

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색인어 가중치 부여 방법에 따른 K-Means 문서 클러스터링의 LSI 분석 (Latent Semantic Indexing Analysis of K-Means Document Clustering for Changing Index Terms Weighting)

  • 오형진;고지현;안동언;박순철
    • 정보처리학회논문지B
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    • 제10B권7호
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    • pp.735-742
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    • 2003
  • 정보검색 시스템에서 문서 클러스터링 기술은 사용자 질의에 대해 검색된 문서들을 문서간의 유사도를 기반으로 특정 주제에 따라 재배치하여 놓는 기술로써 사용자에게 검색의 편의성을 제공하고, 그 결과들을 시각적으로 보여줄 수 있다. 본 논문에서는 K-Means 알고리즘을 사용하여 문서를 클러스터링하며 문서를 대표하는 색인어에 가중치를 부여하는 기법에 대하여 논한다. 클러스터링 결과를 시각적으로 보여주기 위하여 문서와 클러스터 중심들을 2차원 공간으로 사상하기 위한 Latent Semantic Indexing 접근 방법을 적용하였다. 실험 결과 문서의 색인어에 대한 가중치 부여 방법을 동일하게 하거나 또는 유사한 수식을 적용한 사례보다는 로컬가중치, 글로벌가중치, 정규화 요소를 모두 부여한 사례에서 문서들이 2차원 벡터 공간에서 군집하여 분포하는 클러스터링 효과가 우수하였다. 특히 로컬 가중치와 글로벌 가중치에 logarithm을 적용하였을 때 문서 분포의 군집도는 현저하게 나타남을 알 수 있었다.

소노부이 신호 송수신을 위한 오토인코더 기반 신호 변복조 기법 (Autoencoder-based signal modulation and demodulation method for sonobuoy signal transmission and reception)

  • 박진욱;석종원;홍정표
    • 한국음향학회지
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    • 제41권4호
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    • pp.461-467
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    • 2022
  • 소노부이는 수중 음향 정보를 수집하는 일회용 장치로 특정지역에서 수집된 신호를 주변의 항공기 또는 함정으로 송신하는 역할을 수행하고 임무를 완수하면 해저로 가라앉도록 설계되어 있다. 이러한 소노부이 신호 송·수신 시스템의 경우 주파수 분할 다중화나 가우시안 주파수 편이와 같은 기법을 활용하여 신호를 변·복조하여 송·수신한다. 하지만 이러한 방법은 전송해야할 정보의 양이 많고 변조와 복조방법이 비교적 단순하여 보안성이 낮은 단점이 있다. 따라서, 본 논문에서는 오토인코더를 이용하여 송신 신호를 저차원의 잠재 벡터로 변조하여 잠재 벡터를 항공기 또는 함정으로 전송하고 수신한 잠재벡터를 복조하여 보안성을 향상시키고 전송정보량을 기존 전송방법 대비 약 100배 감소시킬 수 있는 방법을 제안하였다. 모의실험을 통해 제안한 방법으로 복원된 샘플 스펙트로그램을 확인한 결과 저차원의 잠재 벡터로부터 원본 신호 복원이 가능함을 확인할 수 있었다.

POI Recommendation Method Based on Multi-Source Information Fusion Using Deep Learning in Location-Based Social Networks

  • Sun, Liqiang
    • Journal of Information Processing Systems
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    • 제17권2호
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    • pp.352-368
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    • 2021
  • Sign-in point of interest (POI) are extremely sparse in location-based social networks, hindering recommendation systems from capturing users' deep-level preferences. To solve this problem, we propose a content-aware POI recommendation algorithm based on a convolutional neural network. First, using convolutional neural networks to process comment text information, we model location POI and user latent factors. Subsequently, the objective function is constructed by fusing users' geographical information and obtaining the emotional category information. In addition, the objective function comprises matrix decomposition and maximisation of the probability objective function. Finally, we solve the objective function efficiently. The prediction rate and F1 value on the Instagram-NewYork dataset are 78.32% and 76.37%, respectively, and those on the Instagram-Chicago dataset are 85.16% and 83.29%, respectively. Comparative experiments show that the proposed method can obtain a higher precision rate than several other newer recommended methods.

Korean Housing Cycle: Implications for Risk Management (Factor-augmented VAR Approach)

  • KWON, HYUCK-SHIN;BANG, DOO WON;KIM, MYEONG HYEON
    • KDI Journal of Economic Policy
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    • 제39권3호
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    • pp.43-62
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    • 2017
  • This paper proposes an integrated risk-management framework that includes 1) measuring the risk of credit portfolios, 2) implementing a (macro) stress test, and 3) setting risk limits using the estimated systematic latent factor specific to capture the housing market cycle. To this end, we extract information from a set of real-estate market variables based on the FAVAR methodology proposed by Bernanke, Boivin and Eliasz (2005). Then, we show the method by which the estimated systematic factor is applied to risk management in the housing market in an integrated manner within the Vasicek one-factor credit model. The proposed methodology is well fitted to analyze the risk of slow-moving and low-defaultable forms of capital, such as alternative investments.

상품 동시 발생 정보와 유사도 정보를 이용한 협업적 필터링 (Collaborative Filtering using Co-Occurrence and Similarity information)

  • 나광택;이주홍
    • 인터넷정보학회논문지
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    • 제18권3호
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    • pp.19-28
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    • 2017
  • 협업적 필터링(CF)은 사용자와 상품간의 관계를 해석하여 특정 사용자에게 상품을 추천 해주는 시스템이다. CF 모델은 컨텐츠 등 다른 추가 정보 없이 평점 데이터만으로 사용자에게 상품을 추천해 줄 수 있다는 장점이 있다. 하지만 사용자는 전체 상품의 극히 일부분만을 소비하고 상품을 소비한 후에도 평점을 부여하지 않는 경우가 매우 많다. 이는 관찰된 평점의 수가 매우 적으며 사용자 평점 행렬이 매우 희박함을 의미한다. 이러한 평점 데이터의 희박성은 CF의 성능을 끌어올리는데 문제를 야기한다. 본 논문에서는 CF 모델 중 하나인 잠재 요인 모델(특히 SVD)의 성능을 끌어올리는데 집중한다. SVD에 상품 유사도 정보와 상품 동시 발생(co occurrence) 정보를 포함시킨 새로운 모델을 제안한다. 평점 데이터로부터 얻어지는 유사도와 동시 발생 정보는 상품 잠재 요인에 대한 잠재 공간상의 표현력을 높여주어 기존방법보다 Recall은 약 16%, Precision과 NDCG는 각각 8%, 7% 상승하였다. 본 논문에서 제안하는 방법이 향후 다른 추천 시스템과 결합하면 기존의 방법보다 더 좋은 성능을 보여줄 것이다.

제조업 여성근로자의 건강증진행위 예측을 위한 새 건강증진 모형의 검증 (Test of the New Health Promotion Model for the Prediction of Female Employees' Health Promotion Behavior at the Manufacturing Plants)

  • 윤순녕
    • 지역사회간호학회지
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    • 제12권3호
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    • pp.557-569
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    • 2001
  • The purpose of the study was to test the Pender's New Health Promotion Model in order to explain and predict female workers' health promotion behavior at manufacturing plants by using latent variable structural equation model. The data were collected from 280 female workers at 8 electronic factories located at Seoul. Kyunggi. and Incheon using a structured questionnaire through interview and self-report. LISREL was used to test the model. The results are as follows: 8 out of 15 paths of the modified one from the hypothetical model of Health Promotion were statistically significant and the total variance was 40%. The relationship between the previous health behavior and the cognitive emotional factor, and the interpersonal factor. and the situational factor each. and the relationship between perceived health status and interpersonal factor, and health promotion behavior each among gamma paths were unidirectional. On the beta paths. the relationship between the interpersonal factor and the cognitive emotional factor was bi-directional: the relationships amongst the interpersonal factor and the commitment to action, and the health promotion behavior were unidirectional. But the commitment to action was not a significant mediating factor to the health promotion behavior. Pender's New Model is considered good to explain and predict the female workers' health promotion behavior. The interpersonal factor should be considered in occupational nursing practice. But the concepts of situation and commitment to action should be further validated and measured.

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Regulation of Tumor Neceosis Factor-${\alpha}$ Receptors and Signal Transduction Pathways

  • Han, Hyung-Mee
    • Toxicological Research
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    • 제8권2호
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    • pp.343-357
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    • 1992
  • Tumor necrosis factor-${\alpha}$(TNF), a polypeptide hormone secreted primarily by activated macrophages, was originally identified on the basis of its ability to cause hemorrhagic necrosis and tumor regression in vivo. Subsequently, TNF has been shown to be an important component of the host responses to infection and cancer and may mediate the wasting syndrome known as cachexia. These systemic actions of TNF are reflected in its diverse effects on target cells in vitro. TNF initiates its diverse cellular actions by binding to specific cell surface receptors. Although TNF receptors have been identified on most of animal cells, regulation of these receptors and the mechanisms which transduce TNF receptor binding into cellular responses are not well understood. Therefore, in the present study, the mechanisms how TNF receptors are being regulated and how TNF receptor binding is being transduced into cellular responses were investigated in rat liver plasma membranes (PM) and ME-180 human cervical carcinoma cell lines. $^{125}I$-TNF bound to high ($K_d=1.51{\pm}0.35nM$)affinity receptors in rat liver PM. Solubilization of PM with 1% Triton X-100 increased both high affinity (from $0.33{\pm}0.04\;to\;1.67{\pm}0.05$ pmoles/mg protein) and low affinity (from $1.92{\pm}0.16\;to\;7.57{\pm}0.50$ pmoles/mg protein) TNF binding without affecting the affinities for TNF, suggesting the presence of a large latent pool of TNF receptors. Affinity labeling of receptors whether from PM or solubilized PM resulted in cross-linking of $^{125}I$-TNF into $M_r$ 130 kDa, 90 kDa and 66kDa complexes. Thus, the properties of the latent TNF receptors were similar to those initially accessible to TNF. To determine if exposure of latent receptors is regulated by TNF, $^{125}I$-TNF binding to control and TNF-pretreated membranes were assayed. Specific binding was increased by pretreatment with TNF (P<0.05), demonstrating that hepatic PM contains latent TNF receptors whose exposure is promoted by TNF. Homologous up-regulation of TNF receptors may, in part, be responsible for sustained hepatic responsiveness during chronic exposure to TNF. As a next step, the post-receptor events induced by TNF were examined. Although the signal transduction pathways for TNF have not been delineated clearly, the actions of many other hormones are mediated by the reversible phosphorylation of specific enzymes or target proteins. The present study demonstrated that TNF induces phosphorylation of 28 kDa protein (p28). Two dimensional soidum dodecyl sulfate-polyacrylamide gel electrophoresis(SDS-PAGE) resolved the 28kDa phosphoprotein into two isoforms having pIs of 6.2 and 6.1. The pIs and relative molecular weight of p28 were consistent with those of a previously characterized mRNA cap binding protein. mRNA cap binding proteins are a class of translation initiation factors that recognize the 7-methylguanosine cap structure found on the 5' end of eukaryotic mRNAs. In vitro, these proteins are defined by their specific elution from affinity columns composed of 7-methylguanosine 5'-triphosphate($m^7$GTP)-Sepharose. Affinity purification of mRNA cap binding proteins from control and TNF treated ME-180 cells proved that TNF rapidly stimulates phosphorylation of an mRNA cap binding protein. Phosphorylation occurred in several cell types that are important in vitro models of TNF action. The mRNA cap binding protein phosphorylated in response to TNF treatment was purifice, sequenced, and identified as the proto-oncogene product eukaryotic initiation factor-4E(eIF-4E). These data show that phosphorylation of a key component of the cellular translational machinery is a common early event in the diverse cellular actions of TNF.

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베트남 고등학생을 대상으로 한 개정 시스템 사고 검사 도구 재타당화 및 한국과 베트남 고등학생의 잠재 평균 비교 (Re-validation of the Revised Systems Thinking Measuring Instrument for Vietnamese High School Students and Comparison of Latent Means between Korean and Vietnamese High School Students)

  • 이효녕;;박병열;전재돈;이현동
    • 한국지구과학회지
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    • 제45권2호
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    • pp.157-171
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    • 2024
  • 이 연구의 목적은 1) 베트남 고등학생들을 대상으로 Lee et al. (2024)에서 보고한 개정 시스템 사고 검사 도구의 타당도를 재검증하고, 2) 연구에 참여한 우리나라 고등학생과 베트남 고등학생 간 시스템 사고 능력에 대한 차이를 알아보는 것이다. 이를 위하여 베트남 고등학생 234명이 베트남어로 번역된 개정 시스템 사고 검사 도구 20문항과 STS 척도 20문항에 응답한 자료를 활용하였다. 타당도 분석은 문항 반응 분석(Item Reliability, Item Map, Infit and Outfit MNSQ, 남녀 집단의 DIF)과 탐색적 요인 분석(프로맥스를 활용한 주축 요인 분석)을 통해 검증하고, 나아가 우리나라 고등학생 475명의 데이터를 함께 활용하여 구조 방정식 모형을 이용한 잠재평균비교를 통해 검증하였다. 연구 결과는 다음과 같다. 첫째, 베트남어로 번역된 Re_ STMI 20문항의 문항 반응 분석 결과 Item Reliability는 .97, Infit MNSQ는 .67-1.38으로 나타났으며 Item Map과 DIF 분석에서도 선행 연구에서 보고된 결과와 일치하는 결과가 도출되었다. 탐색적 요인 분석에서는 모든 문항들이 의도한 하위 요인에 적재되었으며, 요인별 신뢰도는 .662-.833, 전체 신뢰도는 .876으로 분석되었다. 우리나라 고등학생과 잠재평균비교를 위한 확인적 요인 분석에서 도출된 모형 적합도 수치는 모두 수용 가능한 값으로 분석되었다(χ2/df: 2.830, CFI: .931, TLI: .918, SRMR: .043, RMSEA: .051). 마지막으로 연구에 참여한 우리나라 고등학생과 베트남 고등학생 간 잠재평균비교에서는 시스템 분석, 정신 모델, 팀 학습, 공유비전 요인에서 작은 효과 크기가, 개인 숙련 요인에선 중간 이상의 효과 크기를 보이며, 베트남 고등학생들이 시스템 사고 능력에서 유의미하게 높은 결과를 보여주었다. 이를 통해 개정 시스템 사고 검사 도구 문항은 안정적인 신뢰도와 타당도를 가지고 있음을 확인할 수 있었다. 앞으로 학생들의 시스템 사고 연구와 관련하여 베트남어 및 영어 등으로 번역한 문항을 활용하여 시스템 사고의 국제 비교 연구도 진행할 필요성이 있을 것이다.

청소년의 학교생활적응과 자살생각에 관한 종단적 관계연구: 한국아동·청소년패널조사를 중심으로 (A Longitudinal Study on the Correlation between School-life Adjustment and Suicidal Ideation in Adolescents based on the Korean Children and Youth Panel Survey)

  • 양수정;이종은
    • 지역사회간호학회지
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    • 제31권1호
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    • pp.86-95
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    • 2020
  • Purpose: The aim of this study was to examine the correlation between school-life adjustment and suicidal ideation in adolescents by applying the latent growth curve models to the longitudinal data. Methods: This study analyzed three waves of data from the Korean Children & Youth Panel Survey (2014~2016). A total of 1,534 students were included in the analysis. In the application of the latent growth curve models to the longitudinal survey data, we analyzed the initial status and growth changes for each wave, identified individual differences in the general characteristics, and examined the direct relationship between the two latent constructs. Results: The analysis revealed that variations in the initial status and rate of school-life adjustment were significant with respect to parents' education level, household income and academic satisfaction. Variations in the initial status and growth rate of suicidal ideation were significantly associated with household income and family structure. The relationship between school-life adjustment and suicidal ideation showed a negative correlation in which the starting value of the former increased and that of the latter decreased and vice versa. Conclusion: The results confirmed that school-life adjustment and suicidal ideation varied according to students' general characteristics. In addition, school-life adjustment was negatively correlated with suicidal ideation, thereby highlighting students' ability to adjust as an important factor influencing their suicidal thinking.