• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.125-139
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• 2022

Purpose - This study examines how employees' perception of HR department expertise affect their satisfaction of education and training. Moreover, this study explores that the HR department's communication activities moderate the main effects between satisfaction of education and training opportunities. Design/methodology/approach - This study predicts the positive relationship between employees' perceptions of HR department expertise and their satisfaction of education and training. Furthermore, the HR department's communication activities will strengthen this positive relationship. To test these hypotheses, this study used the Human Capital Corporate Panel (HCCP) datasets, especially individual-level 2017 data. The final number of samples is 1,947 for the analyses. In addition, this study utilized a hierarchical regression model with SPSS program. Finding - The results analyzed with the hierarchical regression model showed that the perceptions of HR department expertise had a positive relationship with satisfaction of provided educational and training. In addition, the HR department's communication activities moderated the relationship between perception of HR department expertise and satisfaction of education and training opportunities. Research implications or Originality - This study suggests academic and practical implications for future research in the human resource development filed by clarifying the critical factors to increase employees' satisfaction and transferability of education and training.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.431-434
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• 2001

Knowledge discovery in databases(KDD) is the process for extracting valid, novel, potentially useful and understandable knowledge form real data. There are many academic and industrial activities with new technologies and application areas. Particularly, data mining is the core step in the KDD process, consisting of many algorithms to perform clustering, pattern recognition and rule induction functions. The main goal of these algorithms is prediction and description. Prediction means the assessment of unknown variables. Description is concerned with providing understandable results in a compatible format to human users. We introduce an efficient data mining algorithm considering predictive and descriptive capability. Reasonable pattern is derived from real world data by a revised neural network model and a proposed fuzzy rule extraction technique is applied to obtain understandable knowledge. The proposed neural network model is a hierarchical self-organizing system. The rule base is compatible to decision makers perception because the generated fuzzy rule set reflects the human information process. Results from real world application are analyzed to evaluate the system\`s performance.

• Annual Conference on Human and Language Technology
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• 1990.11a
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• pp.235-246
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• 1990

McClelland와 Rumelhart (1981)의 상호작용활성화 모형과 Feigembaum과 Simon (1984)의 초보지각자-기억자 모형 (Elementary Perceiver and Memorizer, EPAM)을 두 음절 한글단어에서의 낱자 지각을 중심으로 검증한 김 재갑과 김 정오 (1990)의 실험을 새 자극 단어들과 변수를 포함시킨 두 실험을 수행하였다. 여섯 낱자들로 구성된 단어의 둘째 음절위치에서 단어 내의 낱자들은 단독으로 제시되는 낱자들보다 더 부정확하게 파악되었고 (단어열등효과), 이 결과는 다섯 낱자로 된 두 음절 단어들에서는 관찰되지 않았고, 그 배후 기제는 세 낱자들로 구성된 단어의 부분에 대한 제한된 주의 용량의 배정임을 시사하는 결과를 얻었다. 본 연구의 결과들은 상호작용활성화 모형보다 EPAM 모형에 의해 더 잘 다루어짐이 밝혀졌다.

• Journal of Families and Better Life
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• v.31 no.3
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• pp.63-79
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• 2013

The aim of this study was to investigate the influence of family-friendly community policy and child care policy on parents with young children. Particularly, two specific questions were addressed: 1) Were there differences in the perception of community family-friendliness among parents with young children in Seoul provinces? 2) Were there differences in the perception of community family-friendliness among parents with young children, depending on child-care infrastructures in Seoul provinces? Data for this study were drawn from multiple sources. Individual-level indicators were drawn from the survey of 1,246 parents with children under age 6 in Seoul. Community-level indicators were drawn from the 2011 Seoul census data. Frequency, descriptive statistics, GIS mapping, and hierarchical linear model analysis were conducted to examine the perception of community family-friendliness by individual, child-care infrastructures, and the community at large. The major results of the present study are as follows: The perception of parents on community family-friendliness varied across the 25 provinces in Seoul. The perception of community family-friendliness was positively related with the total number of child day-care centers, and the number of infant-toddler child daycare centers. The number of accredited child daycare centers was negatively associated with the perception of community family-friendliness.

• The Transactions of the Korea Information Processing Society
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• v.5 no.1
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• pp.236-248
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• 1998

Human observers perceive a contour where no line or edge is given, such as the border between gratings of thin lines offset by half a cycle. Illusory contours occur in a wide variety of circumstances in nature. A common factor in all such figures is the perception of a surface or contour occluding part of a background, i.e. illusory contours are always accompanied by illusory surfaces. Some examples about these kinds of figures are given by Kanizsa's triangle or square. In this paper, we proposed a neural network model for forming(extracting) the illusory surfaces, based on the mechanism of feature extraction found in a mammals' visual pathway. It will be shown that the model can extract the illusory surfaces from illusory contours successfully.

• Korean Journal of Computational Design and Engineering
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• v.15 no.2
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• pp.136-143
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• 2010

Realistic Modeling is to maximize the reality of the environment in which perception is made by virtual environment or remote control using two or more senses of human. Especially, the field of haptic rendering, which provides reality through interaction of visual and tactual sense in realistic model, has brought attention. Haptic rendering calculates the force caused by model deformation during interaction with a virtual model and returns it to the user. Deformable model in the haptic rendering has more complexity than a rigid body because the deformation is calculated inside as well as the outside the model. For this model, Gibson suggested the 3D ChainMail algorithm using volumetric data. However, in case of the deformable model with non-homogeneous materials, there were some discordances between visual and tactual sense information when calculating the force-feedback in real time. Therefore, we propose an algorithm for the Volume Haptic Rendering of non-homogeneous deformable object that reflects the force-feedback consistently in real time, depending on visual information (the amount of deformation), without any post-processing.

• Korean Journal of Human Ecology
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• v.15 no.4
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• pp.623-630
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• 2006

The purpose of this study is to do research hairdressers' knowledge of hairless head dummy's brand name, and to suggest and develop various hairless head dummy for the students who are learning hair styling in the colleges and the academies, for the hairdressers working in the beauty salons. Using only one and same kind of hairless head model is not appropriate for hairdressers and students being trained hair styling skill, because people have a variety of head shapes. Three hundred twenty nine persons who live in Iksan area are selected as subjects. The results of the study are as follow: by the analysis of subjects' knowledge of hairless head dummy's brand name, most of them didn't know it exactly. This study deduced that there is a significant relation between the utility of hairless head dummy and subjects' intention of purchasing the dummy. To put it in detail, in case of college students, there is little significant difference between them. But in case of academy students, there is. By the regression analysis, especially, in case of hairdressers working in beauty salons and academy students, four conditions did significantly matter in their purchasing the dummy: first, whether the respondents owns it, second, whether it is helpful to themselves, third, whether they have ever used foreign products and, finally, whether they have intention to purchase various hairless head dummys or not. In conclusion, it depended on each group position whether their knowledge of brand names of hairless head model affects their purchase of the dummy or not.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.4 s.152
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• pp.633-643
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• 2006

When women are exposed to images of other attractive women such as media models, it is known that many go through a social comparison process and a contrast effect occurs which results in unfavorable perception and attitudes toward the self. This paper suggests women's perception of control over their appearance as one of the factors that may moderate the contrast effect of a social comparison with attractive media models. An experiment with 211 women was conducted to examine the differential effect of viewing attractive models versus non-human images on the responses of women with high/low perceived control over appearance. A two(Stimuli Type: attractive-model image vs. non-human image) by two(Perceived Control over Appearance: High vs. Low) MANCOVA model was tested with physical appearance anxiety, self-esteem, and body satisfaction as dependent variables and appearance orientation, body mass index, age, years of schooling, ethnicity, and marital status as covariates. A significant Perceived Control main effect on Physical Appearance Anxiety and Self-Esteem and a significant Stimuli Type by Perceived Control interaction effect on Physical Appearance Anxiety and Self-Esteem were found. Those who perceived high control over their appearance were more likely to have higher self-esteem and lower appearance anxiety. However, among those who saw attractive model's images, women perceived low appearance control showed less anxiety and higher body satisfaction than those perceived high appearance control.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.3
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• pp.413-420
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• 2023

For a long time, researchers have presented excellent results in the field of image retrieval due to many studies on CBIR. However, there is still a semantic gap between these search results for images and human perception. It is still a difficult problem to classify images with a level of human perception using a small number of images. Therefore, this paper proposes an image classification model using deep learning-based transfer learning to minimize the semantic gap between images of people and search systems in image retrieval. As a result of the experiment, the loss rate of the learning model was 0.2451% and the accuracy was 0.8922%. The implementation of the proposed image classification method was able to achieve the desired goal. And in deep learning, it was confirmed that the CNN's transfer learning model method was effective in creating an image database by adding new data.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.7
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• pp.634-642
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• 2004

Unlike actual vehicles, a vehicle driving simulator is limited in kinematic workspace and bounded on dynamic characteristics. So it is difficult to simulate dynamic motions of a multi-body vehicle model. In order to overcome these problems, a washout algorithm which controls the workspace of the simulator within the kinematic limitation is needed. However, a classical washout algorithm contains several problems such as generation of wrong sensation of motions by filters in tilt coordination, requirement of trial and error method in selecting the proper cut-off frequencies, difficulty in returning the simulator to its origin using only high pass filters and etc. This paper proposes a new tilt coordination method as an algorithm which gives more accurate sensations to drivers. In order to reduce time for returning the simulator to its origin, a new washout algorithm that the proposed algorithm selectively onset mode from high pass filters and return mode from error functions is proposed. As a result of this study, the results of the proposed algorithm are compared with the results of classical washout algorithm through the human perception models. Also, the performance of the suggested algorithm is evaluated by using human perception and sensibility of some drivers through experiments.