• Journal of Forest and Environmental Science
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• v.33 no.3
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• pp.161-171
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• 2017

Global environmental changes have the capacity to make dramatic alterations to floral and faunal composition, and elucidation of the mechanism is important for predicting its outcomes. Studies on global climate change have traditionally focused on statistical summaries within relatively wide scales of spatial and temporal changes, and less attention has been paid to variability in microclimates across spatial and temporal scales. Microclimate is a suite of climatic conditions measured in local areas near the earth's surface. Environmental variables in microclimatic scale can be critical for the ecology of organisms inhabiting there. Here we examine the effect of spatial and temporal changes in microclimates on those of carabid beetle communities in Hyangnobong, Korea. We found that climatic variables and the patterns of annual changes in carabid beetle communities differed among sites even within the single mountain system. Our results indicate the importance of temporal survey of communities at local scales, which is expected to reveal an additional fraction of variation in communities and underlying processes that has been overlooked in studies of global community patterns and changes.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.4
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• pp.379-384
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• 2009

A human gaze detection and tracing method is importantly required for HMI(Human-Machine-Interface) like a Human-Serving robot. This paper proposed a novel three-dimension (3D) human gaze estimation method by using a face recognition, an orientation estimation and SVMs (Support Vector Machines). 2,400 images with the pan orientation range of $-90^{\circ}{\sim}90^{\circ}$ and tilt range of $-40^{\circ}{\sim}70^{\circ}$ with intervals unit of $10^{\circ}$ were used. A stereo camera was used to obtain the global coordinate of the center point between eyes and Gabor filter banks of horizontal and vertical orientation with 4 scales were used to extract the facial features. The experiment result shows that the error rate of proposed method is much improved than Liddell's.

• Journal of Korea Port Economic Association
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• v.21 no.1
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• pp.93-109
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• 2005

The paper draws the scales of supply and shortages of port logistics area's human resources based upon the future prospect of its supply and demand. Due to the problems that we face today with human resources training and inequality between the levels of demand and supply, introduction of a new training system by local universities and their overall improvement are brought up as the needs of the times. In order for these to happen, the local universities need to assure originality by specializing Port Logistics area. They need to develop demand-oriented port logistics education programs through establishment of cooperation among the universities, as well as expand qualitative and quantitative improvement their educational programs. In addition the local universities have to act as the central of nurturing local talents by developing an educational-governmental cooperation, leading port & logistics' educational policy as think-tank and producting ready-to-work talent.

• 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 the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.25 no.10
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• pp.1-13
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• 2011

The aim of this study is to analyze the emotion adjectives for light emitting diode(LED) light colors using a twofold adjective image scales from Kobayashi and I.R.I. A set of psychophysical experiments using category judgment was conducted in an LED light color simulation system, in order to evaluate each emotion scale coordinate for those test light colors in both adjective image scales. In total, 49 test light colors from a combination of 6 color series were assessed by 15 human observers. As a result, Kobayashi adjective image scale clearly expressed to emotion adjectives of 'Dynamic', 'Casual', 'Chic', 'Cool-casual', 'Modern', and 'Natural' for different hues. In contrast, I.R.I adjective image scale expressed only 2 adjectives of 'dynamic' and 'luxurious' for the all hues.

• Journal of the Korean Home Economics Association
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• v.48 no.3
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• pp.125-134
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• 2010

The purpose of this study was to analyze the characteristics and images of colors in the stewardess's uniforms. For this study, 530 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed into H V/C and the attributes of colors and tones were analyzed. The color images were analyzed with the color image scales of IRI and Shigenobu Kobayashi. As a results, purple-blue(21.7%), neutral(20.9%), red(17.9%) and yellow(10.8%) were found to be the most frequently used colors. In the tone analysis, vivid tone(18.7%) occupied high frequency and the next orders were white(17.4%), dark grayish(12.8%), light(8.5%), dark(8.1%). The color images were focused on dynamic, modern, casual, gorgeous, classic, elegance images in the color image scales of IRI and Kobayashi.

• Journal of the Korean Home Economics Association
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• v.45 no.5
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• pp.1-13
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• 2007

The purpose of this study was to explore the well-being attitude and use the expectation-disconfirmation model to assess consumer satisfaction with well-being products. The consumer expectations, performance and disconfirmation scales were composed of 7 items of 5-likert scales. Consumer satisfaction with well-being products was measured with one-item-measurement scale. The results of this study are as follows. 1. The well-being attitude consists of 4 factors. : consumption of the well-being products, pursuit of mental well-being, criticism of commercial fashion, and pursuit of harmony with natural life. 2. Well-being attitude influences the consumers' expectation, performance, and satisfaction with well-being products. 3. Consumer expectation for well-being products has no influence on satisfaction, but performance and disconfirmation have a high degree of influence on satisfaction.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.93-101
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• 2020

Shipyards are potential environments for using IoT services, sensor networks, and delay tolerant networks. Simulations of those services and networks strongly rely on human mobility models. Results obtained with an unrealistic model may not reflect the true performance of applications, protocols, and algorithms in a shipyard. A lot of synthetic models for human movements have been studied but most of them are generic and focus on the daily movements of humans on city scales. Nevertheless, workers in shipyards have unique movement characteristics such as movement speed, pause time, and attractions places. For instance, workers usually move to some places, where they work, and rarely move to other places in the factory. Movement characteristics of workers not only depend on workers but also on tasks, which they do. For instance, workers, who paint ships, have similar movement speed and pause time. Hence, in this paper, human movements in shipyards are studied. We propose a new human mobility model called the human mobility mode in shipyards (MIS). In MIS, workers are classified into multiple types. Movement characteristics of a worker are similar to other workers in the same type. Based on the visiting probability, workers have some places, where they frequently visits, and some places, where they rarely visit. We analyze real mobility traces and studie to achieve human movement characteristics from real traces. The results show that MIS provides a well-match to the movement characteristic from real traces.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3182-3198
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• 2019

Vision-based Human Pose Estimation has been considered as one of challenging research subjects due to problems including confounding background clutter, diversity of human appearances and illumination changes in scenes. To tackle these problems, we propose to use a new multi-stage convolution machine for estimating human pose. To provide better heatmap prediction of body joints, the proposed machine repeatedly produces multiple predictions according to stages with receptive field large enough for learning the long-range spatial relationship. And stages are composed of various modules according to their strategic purposes. Pyramid stacking module and dilation module are used to handle problem of human pose at multiple scales. Their multi-scale information from different receptive fields are fused with concatenation, which can catch more contextual information from different features. And spatial and channel information of a given input are converted to gating factors by squeezing the feature maps to a single numeric value based on its importance in order to give each of the network channels different weights. Compared with other ConvNet-based architectures, we demonstrated that our proposed architecture achieved higher accuracy on experiments using standard benchmarks of LSP and MPII pose datasets.

• Korean Journal of Child Studies
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• v.26 no.5
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• pp.31-38
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• 2005

This study investigated the performance of 346 students on the Reynold intellectual Assessment Scale scores for sex, ethnic, and socioeconomic differences. The sample consisted of 198 males and 148 females(271 White, 32 Black, 20 Hispanic, 8 Asian, and 15 others) who were referred for gifted evaluation. The findings indicated significant differences between the IQ scores with regard to sex, ethnicity, and socioeconomic status. Implications of these findings are discussed. in terms of assessing minority group members with the Reynolds Intellectual Assessment Scales (RIAS) to identify gifted children.