• Korean Journal of Remote Sensing
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• v.35 no.6_3
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• pp.1209-1219
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• 2019

For consistent vegetation monitoring, it is necessary to generate time-series vegetation index datasets at fine temporal and spatial scales by fusing the complementary characteristics between temporal and spatial scales of multiple satellite data. In this study, we quantitatively and qualitatively analyzed the prediction accuracy of time-series change information extracted from spatio-temporal fusion models of multiple satellite data for vegetation monitoring. As for the spatio-temporal fusion models, we applied two models that have been widely employed to vegetation monitoring, including a Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and an Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM). To quantitatively evaluate the prediction accuracy, we first generated simulated data sets from MODIS data with fine temporal scales and then used them as inputs for the spatio-temporal fusion models. We observed from the comparative experiment that ESTARFM showed better prediction performance than STARFM, but the prediction performance for the two models became degraded as the difference between the prediction date and the simultaneous acquisition date of the input data increased. This result indicates that multiple data acquired close to the prediction date should be used to improve the prediction accuracy. When considering the limited availability of optical images, it is necessary to develop an advanced spatio-temporal model that can reflect the suggestions of this study for vegetation monitoring.

• International Journal of Human Ecology
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• v.15 no.1
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• pp.1-11
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• 2014

We conducted an examination of 243 female adolescent fandom members in order to understand the relationship of the engagement in fandom activities, love attitude, and ego-identity. Researchers used three scales of 'Engagement in Fandom Activities', 'Love Attitude' (Hendrick & Hendrick, 1986) and 'Ego-identity' (Dignan, 1965). Correlation analysis and multiple regression analysis were applied after data was collected depending on the scales. The study showed that the degree of engagement and the tendency towards erotic love behavior had a positive correlation. The correlation with the sub-domains of ego-identity were positive with role-expectation and self-assertiveness while self-awareness was negative. All four factors affected the degree of engagement in fandom activities. It is meaningful that research help to understand the characteristic of female adolescent fandom and simultaneously investigate the effective factors of engagement in fandom activity.

• Journal of Korean Institute of Industrial Engineers
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• v.5 no.2
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• pp.57-69
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• 1979

This review focuses on the individual performance and productivity of researchers in the area of science and technology. The researchers in the paper are classified into individual inventors without organizational affiliation and researchers in the organization, which are distinguished by cosmopolitanic professionals and local institutionalists. The productivity of researchers is in general measured by different indicators or measurement scales such as: i) subjective evaluation of overall research performance, (ii) the number of published papers, reports and books, iii) the quality of research output (e.g. citation frequency), iv) originality of research ouput (e,g, patents), v) multiple measurement scales, etc. According to the literature based on empirical study, the productivity of individual reseachers is positively related to the degree of freedom, communication, diversity, dedication, and motivation and negatively related to the degree of similarity, and satisfaction. However, other factors such as creativity, age, supervisory behavior and group characteristics have shown irregular direction of correlation.

• Interaction and multiscale mechanics
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• v.2 no.1
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• pp.1-14
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• 2009

This paper proposes an interaction field concept based on the field theory of plasticity. Relative deformation between two arbitrary scales, e.g., macro and micro fields, is defined which can be implemented in the crystal plasticity-based constitutive framework. Differential geometrical quantities responsible for describing dislocations and defects in the interaction field are obtained, based on which dislocation density and incompatibility tensors are further derived. It is shown that the explicit interaction exists in the curvature or incompatibility tensor field, whereas no interaction in the torsion or dislocation density tensor field. General expressions of the interaction fields over multiple scales with more than three scale levels are derived and implemented into the present constitutive equation.

• Journal of Biosystems Engineering
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• v.39 no.4
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• pp.377-388
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• 2014

Purpose: Determining the spatial structure of data is important in understanding within-field variability for site-specific crop management. An understanding of the spatial structures present in the data may help illuminate interrelationships that are important in subsequent explanatory analyses, especially when site variables are correlated or are a combined response to multiple causative factors. Methods: In this study, correlation, principal component analysis, and single and nested variogram models were applied to soil electrical conductivity and chemical property data of two fields in central Missouri, USA. Results: Some variables that were highly correlated, or were strongly expressed in the same principal component, exhibited similar spatial ranges when fitted with a single variogram model. However, single variogram results were dependent on the active lag distance used, with short distances (30 m) required to fit short-range variability. Longer active lag distances only revealed long-range spatial components. Nested models generally yielded a better fit than single models for sensor-based conductivity data, where multiple scales of spatial structure were apparent. Gaussian-spherical nested models fit well to the data at both short (30 m) and long (300 m) active lag distances, generally capturing both short-range and long-range spatial components. As soil conductivity relates strongly to profile texture, we hypothesize that the short-range components may relate to the scale of erosion processes, while the long-range components are indicative of the scale of landscape morphology. Conclusion: In this study, we investigated the effect of changing active lag distance on the calculation of the range parameter. Future work investigating scale effects on other variogram parameters, including nugget and sill variances, may lead to better model selection and interpretation. Once this is achieved, separation of nested spatial components by factorial kriging may help to better define the correlations existing between spatial datasets.

• Ocean Systems Engineering
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• v.2 no.2
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• pp.137-145
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• 2012

Recent developments in underwater image recognition methods have received large attention by the ocean engineering researchers. In this paper, an improved bi-dimensional empirical mode decomposition (BEMD) approach is employed to decompose the given underwater image into intrinsic mode functions (IMFs) and residual. We developed a joint algorithm based on BEMD and Canny operator to extract multi-pixel edge features at multiple scales in IMFs sub-images. So the multiple pixel edge extraction is an advantage of our approach; the other contribution of this method is the realization of the bi-dimensional sifting process, which is realized utilizing regional-based operators to detect local extreme points and constructing radial basis function for curve surface interpolation. The performance of the multi-pixel edge extraction algorithm for processing underwater image is demonstrated in the contrast experiment with both the proposed method and the phase congruency edge detection.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.240-243
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• 2000

An apparel products retrieval system was proposed in which users can refer to products using Kansei evaluation values. The system adopts relevance feedback using history of the retrieval to learn the tendency of user evaluation. The system is based on a vector space retrieval model using products images expression as semantic scales. The system makes a query from user inputting information and retrieves closest products from the database. Revising algorithms of the difference method. linear multiple regression performed to investigate the effectiveness and criteria of the search. As a result of evaluation of the accuracy, it was found that the linear multiple regression and the neural network models are effective for the retrieval considering the individual Kansei.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.12
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• pp.3237-3256
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• 2012

In the context of effective usage of a scarce spectrum resource, emerging wireless communication standards will demand spectrum sharing with existing systems as well as multiple access with higher spectral efficiency. We mathematically analyze the sum throughput of a spectrum sharing space-division multiple access (SDMA) system, which forms a transmit null in the direction of other coexisting systems while satisfying orthogonal beamforming constraints. For a large number of users N, the SDMA throughput scales as log N at high signal-to-noise ratio (SNR) ((J-1) loglog N at normal SNR), where J is the number of transmit antennas. This indicates that multiplexing gain of the spectrum sharing SDMA is $\frac{J-1}{J}$ times less than that of the non-spectrum sharing SDMA only using orthogonal beamforming, whereas no loss in multiuser diversity gain. Although the spectrum sharing SDMA always has lower throughput compared to the non-spectrum sharing SDMA in the non-coexistence scenario, it offers an intriguing opportunity to reuse spectrum already allocated to other coexisting systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1450-1463
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• 2019

The problem towards crowd behavior recognition in a serious clustered scene is extremely challenged on account of variable scales with non-uniformity. This paper aims to propose a crowed behavior classification framework based on a transferring hybrid network blending 3D res-net with inception-v3. First, the 3D res-inception network is presented so as to learn the augmented visual feature of UCF 101. Then the target dataset is applied to fine-tune the network parameters in an attempt to classify the behavior of densely crowded scenes. Finally, a transferred entropy function is used to calculate the probability of multiple labels in accordance with these features. Experimental results show that the proposed method could greatly improve the accuracy of crowd behavior recognition and enhance the accuracy of multiple label classification.

• Journal of Families and Better Life
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• v.23 no.6 s.78
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• pp.155-165
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• 2005

The pupose of this study is to investigate the effect of irrational relationship beliefs on marital duality of married men and women and to find out what sub-scales of irrational relationship beliefs have effect on marital quality. The data were collected from 301 married men and 302 married women living with their unmarried children in the metropolitan area around Seoul. All the respondents were asked to answer the self-reporting questionnaires. The analysis includes frequencies, means, 1-test, one-way ANOVA, Duncan test, and hierarchical multiple regression models. the major findings are as follows. 1) The level of irrational relationship beliefs is below the average, and the married women show slightly higher level of irrational relationship beliefs than the men. On the other hand, the level of marital quality of the married men and women is slightly above the average with no difference between the men and the women. 2) In the case of the married men, the sub-scales of irrational relationship beliefs that have significantly negative effect on the marital quality are 'partners cannot change', 'disagreement is destructive,' and 'sexes are different' 3) In the case of the married women, the sub-scales of irrational relationship beliefs that have significantly negative effect on the marital quality are 'partners cannot change' and 'disagreement is destructive' According to the result of this study, irrational relationship beliefs have negative effect on marital quality. However, the effect of each sub-scales shows slight differences in gender. The finding of this study suggests that a promoting marital promoting marital qualify by reducing the irrational relationship beliefs should take the gender differences into consideration.