• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.57-64
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• 2014

In this paper, we verify the relation between elements (active and inactive) of Russell's emotional dimension ("A Circumplex Model") to propose a new representing method. Russell's emotional dimension expresses emotional words (happy, joy, sad, nervous, etc.) as a point on the two dimensions (Arousal and Valence). It is most commonly used in many filed such as Science of Emotion & Sensibility, Human-Computer Interaction (HCI), and Psychology etc. But other researchers have insisted that Russell's emotional dimension have to be modified because of its inherent problems. Such problems included the possibility of mixed feelings, the difference of emotion and sensibility, and the difference of Arousal axis and Valence axis. Therefore, we verify relationship of A Circumplex Model's elements (active and inactive) and find how to people express their Arousal feelings using survey. We finally propose new method to express emotion in Russell's emotional dimension. Using this method, we can solve Russell's problems and compensate other researches.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.42-47
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• 2023

With rapid urbanization, the importance of urban warfare is increasing, and it is also required to reflect the characteristics of cities in wargame models. However, in the military's wargame models, the urbanization factor was calculated and used without theoretical basis. In this study, we investigate techniques for estimating the urbanization factor using Fractal dimension theory. The urbanization factor we propose can suggest a logical and valid representative value when used in conjunction with Agent Based Model and other methodologies.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.594-600
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• 2017

The new design methodology of prediction model and pattern classification, which is based on the dimension reduction algorithm called principal component analysis, is introduced in this paper. Principal component analysis is one of dimension reduction techniques which are used to reduce the dimension of the input space and extract some good features from the original input variables. The extracted input variables are applied to the prediction model and pattern classifier as the input variables. The introduced prediction model and pattern classifier are based on the very simple regression which is the key point of the paper. The structural simplicity of the prediction model and pattern classifier leads to reducing the over-fitting problem. In order to validate the proposed prediction model and pattern classifier, several machine learning data sets are used.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.3
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• pp.55-79
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• 2007

In this study the need for new service qualify assessment scale is investigated to cope with the paradigm change in library information service and the dimension and model for e-service quality assessment applicable to a digital library are developed. In order to verify newly proposed dimension and model for e-service qualify assessment, the dimension which is developed by employing data collected from NDSL(National Digital Science Library) and its factor are analyzed and casuality analysis between independent and dependent variables is executed based on the proposed e-service qualify model We also analyze the gap between customer's ideal expectation and perception and, finally investigate what is the most important dimension among e-service quality in the digital library from the customer's point of view.

• Environmental Engineering Research
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• v.23 no.4
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• pp.442-448
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• 2018

This paper presents the numerical simulation of advection-diffusion mechanism of BOD concentration which was used as an indicator of waste only in one flow-direction of waste stabilization ponds (1-dimension (1-D)). This model was represented in partial differential equation order 2. The purpose of this paper was to determine the simulation of the model 1-D of wastewater transport phenomena based advection-diffusion mechanism and did validate the model. Numerical methods which was used for the solution of this model is finite difference method with Forward Time Central Space scheme. The simulation results which was obtained would be compared with field observation data as a validation model. Collection of field data was carried out in the Wastewater Treatment Plant Sewon, Bantul, D.I. Yogyakarta. The results of numerical simulations were indicate that the advection-diffusion mechanism takes place continuously over time. Then validation of the model was state that there was a difference between the calculation results with the field data, with a correlation value of 0.998.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.2
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• pp.27-32
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• 2001

In this paper, the three dimension scanner system employing the parallel camera model is discussed. The camera calibration process and the three dimension scanning algorithm are developed. The laser strip line is utilized for assisting stereo matching. An object being scanned rotates on the plate which is activated by a stepping motor, The world coordinate which is. the measured distance from the camera to the object is converted into the model coordinate. The facets created from the point. cloud of the model coordinate is used for rendering the scanned model by using the graphic library such as OpenGL. The unmatched points having no validate matching points are interpolated from the validate matching points of the vicinity epipolar lines.

• Journal of the Korean Society of Costume
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• v.65 no.4
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• pp.137-153
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• 2015

This paper aims at developing an analytic model for examining fashion designer's creativity. This research developed the analytic model of fashion designer's creativity adding the specificity of the fashion area to The Systems Model of Creativity by Csikszentmihalyi & Gardener. The analytic model of fashion designer's creativity is composed of 3 elements: the fashion designer, the fashion domain and the fashion field. The detail factors to be examined by each of the elements are as follows. In the dimension of an individual fashion designer, detail factors influencing the manifestation of creativity contain cognitive and non-cognitive abilities (i.e: personality traits, erotic capital) and socio-psychological factors (i.e: family condition, sexual identity, marital status, health). In the dimension of the fashion domain, creativity factors are composed of socio-cultural contexts and paradigms. In the dimension of the fashion field, detail factors refer to a mentor, supporter, competitor and a follower. Fashion designer's creativity manifests itself when detail factors of an individual fashion designer, fashion domain and field interact with each other dynamically.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.59-74
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• 1997

FACES II & III do not capture the high extremes of the dimension and are linear rather than curvilinear measure. FACES IV is the latest revision of FACES series and can capture two extreme dimension of Circumplex Model. The purpose of this study is to examine reliability and validity of reconstructed FACES using by FACES II, III, IV. Factor analysis showed that Cohesion and Adaptability consisted 3 factors (disengaged, connected, emmeshed/rigid, flexble, chaotic) Extremes on each dimension conceptually were opposite and they were uncorrelated with each other. FACES effectively predicted family function. Reliability coefficients of subscales ranged from 61~85 Reconstructed FACES had good internal consistency and construct and criterion related validity.

• Water Engineering Research
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• v.1 no.4
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• pp.279-291
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• 2000

A mathematical model using dynamic programming approach is applied to an optimal unit commitment problem. In this study, the units are treated as stages instead of as state dimension, and the time dimension corresponds to the state dimension instead of stages. A considerable amount of computer time is saved as compared to the normal approach if there are many units in the basin. A case study on the Lower Colorado River Basin System is presented to demonstrate the capabilities of the optimal scheduling of hydropower units.

• Communications for Statistical Applications and Methods
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• v.26 no.5
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• pp.519-526
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• 2019

Response dimension reduction in a sufficient dimension reduction (SDR) context has been widely ignored until Yoo and Cook (Computational Statistics and Data Analysis, 53, 334-343, 2008) founded theories for it and developed an estimation approach. Recent research in SDR shows that a semi-parametric approach can outperform conventional non-parametric SDR methods. Yoo (Statistics: A Journal of Theoretical and Applied Statistics, 52, 409-425, 2018) developed a semi-parametric approach for response reduction in Yoo and Cook (2008) context, and Yoo (Journal of the Korean Statistical Society, 2019) completes the semi-parametric approach by proposing an unstructured method. This paper theoretically discusses and provides insightful remarks on three versions of semi-parametric approaches that can be useful for statistical practitioners. It is also possible to avoid numerical instability by presenting the results for an orthogonal transformation of the response variables.