• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.2
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• pp.101-107
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• 2012

This study describes a proposed method of converting an input sound signal into a color image by emulating human synesthetic skills which make it possible to associate an sound source with a specific color image. As a first step of sound-to-image conversion, features such as fundamental frequency(F0) and energy are extracted from an input sound source. Then, a musical scale and an octave can be calculated from F0 signals, so that scale, energy and octave can be converted into three elements of HSI model such hue, saturation and intensity, respectively. Finally, a color image with the BMP file format is created as an output of the process of the HSI-to-RGB conversion. We built a basic system on the basis of the proposed method using a standard C-programming. The simulation results revealed that output color images with the BMP file format created from input sound sources have diverse hues corresponding to the change of the F0 signals, where the hue elements have different intensities depending on octaves with the minimum frequency of 20Hz. Furthermore, output images also have various levels of chroma(or saturation) which is directly converted from the energy.

• Research in Community and Public Health Nursing
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• v.14 no.1
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• pp.55-65
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• 2003

Purpose: The purpose was to investigate the factors influencing the alcohol consumption behavior of adolescents to provide basic data for a nursing intervention program to improve health management and prohibit alcohol consumption. Method: The subjects were 306 university students, living in K city in Chungnam province from April 1 to 20th, 2002. The instruments used were the alcohol consumption behavior scale, that is the drinking intensity score, and developed by Shin(1998)'s scale of drinking problem, refusal self-efficacy scale by Aas et. al.(1995), alcohol expectancy by Goldman et. al. (1989), TPQ scale by Cloninger(1991), depression scale by Zung(1974), family cohesion scale by Olson et. al. (1983). The data were analyzed using descriptive statistics, Pearson correlation coefficient, t-test, ANOVA, and stepwise multiple regression by using SPSS & SAS program. Results: The multiple regression analysis revealed that the most powerful predictor of alcohol consumption behavior was the influence of friends (drinking everyday) (17.0%). A combination of alcohol expectancy (8.0%), influence of friends (4.0%), father's influence (2.0%), depression(2.0%), refusal self-efficacy (1.0%), personality of harm avoidance(1.0%), and monthly pocket money (2.0%) accounted for 38.6% of the variance in alcohol consumption behavior. Conclusion: From the results, we recommend to use the database that develops nursing intervention program for decreasing the alcohol consumption behavior including the influencing factors in university students.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.1
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• pp.45-51
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• 2003

Stereo bird's-eyes-view was prepared for 3-dimensional view of various forms of Jecheon city, and 3-dimensional simulation was applied to it so as to show it in moving pictures in spatial. In manufacturing stereo bird's-eyes-view, perspective technology was used in image-making technology, and the basic material images are prepared as fellows: used EOC Images from Arirang-1 satellite, created DEM whose error was optionally geometric corrected after drawn from the contour line of the map on a scale of l/5,000 manufactured by national geography institute as a national standard map, and classified road lines which were manufactured as a road layer vector file of a map on a scale of l/l,000 and then overlay it over the three dimensional image of target area. Especially for the connectivity with address system to be used in new address, an arterial road map on a scale of l/l,000 that had been manufactured to grant new address was used in maximum in road network structure data of city area in this study.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.116-124
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• 2008

This study presents the application of multi-temporal and multi-scale panchromatic aerial photos for change detection in a small urban area. For aerial photos of the scale of 1:20,000 taken in 1987 and 1996 and the scale of 1:37,500 taken in 2000. Pre-processing that make the same conditions to all of the aerial photos was carried out through geometric correction, registration, contrasting, resamplimg, and mosaicking and then change detection were carried out respectively by image differencing and image ratio techniques. As a result, the change of urban features and landcover were able to be detected from panchromatic aerial photos that is single-band images and then the detected change results were compared between both techniques.

• Human Ecology Research
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• v.52 no.1
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• pp.63-73
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• 2014

The purpose of this study is to investigate early childhood student teachers' practicum anxiety on the basis of the teacher's image and self-efficacy during their practicum. The participants of this study were 499 student teachers who were enrolled in the department of early childhood education in a college or a university and had completed the practicum in Daejeon metropolitan city or the Chungcheong area. The instruments for this study were the Teacher's Image Scale, Practicum Anxiety Scale, Self-efficacy Scale, and a questionnaire for socio-demographic variables. The collected data were analyzed by using a t -test, F test, Pearson's partial correlation, and multiple regression with SPSS software (version 20.0). The results were as follows: First, the student teachers expressed higher practicum anxiety in a provincial area than in metropolitan city, and their self-efficacy was higher in public kindergarten than in private kindergarten. Further, the highest level of the teacher's image was obtained in the case of student teachers who enrolled in a 2- or 3-year college program and completed the practicum in the metropolitan city. Second, there was a significant negative correlation between the sum of student teachers' practicum anxiety and their professional skills of teacher's image as well as significant correlations between the sum of student teachers' practicum anxiety and their self-efficacy, except self-control efficacy. Finally, the student teachers' practicum anxiety was found to be 17.5%-24.4% and was explained the most by the confidence of self-efficacy.

• Journal of the Korea Computer Graphics Society
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• v.17 no.1
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• pp.39-44
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• 2011

In this paper, we introduce a novel method to reduce image to a small size, such that the quality of the image is improved when it is up-scaled. Recent hardwares including cameras and display devices allow us to capture and display high-resolution images. However, it is not always realistic to store and transmit those high-resolution images due to limitation of storage and network bandwidth. Therefore, high-resolution images are often down-scaled to be stored and transmitted, and then up-scaled back for display. To improve final image quality in this scenario, we first formulate selected up-scale methods as linear transformations. The optimal reduction methods are obtained as its inverse transformation. Based on this basic idea, we develop down-scale kernel that is optimized for each up-scale method. In our experiment, the proposed method could improve the quality of the up-scaled image noticeable.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.3
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• pp.353-359
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• 2010

In this paper, we propose the automatic image-to-image registration of high resolution satellite images using local properties of tie points to improve the registration accuracy. A spatial distance between interest points of reference and sensed images extracted by Scale Invariant Feature Transform(SIFT) is additionally used to extract tie points. Coefficients of affine transform between images are extracted by invariant descriptor based matching, and interest points of sensed image are transformed to the reference coordinate system using these coefficients. The spatial distance between interest points of sensed image which have been transformed to the reference coordinates and interest points of reference image is calculated for secondary matching. The piecewise linear function is applied to the matched tie points for automatic registration of high resolution images. The proposed method can extract spatially well-distributed tie points compared with SIFT based method.

• Journal of the Korean Society for Precision Engineering
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• v.27 no.2
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• pp.70-77
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• 2010

This study proposed an auto focusing method for a multi-focus image in assembling lens modules in digital camera phones. A camera module in a camera phone is composed of a lens barrel, an IR glass, a lens mount, a PCB board and aspheric lenses. Alignment among the components is one of the important factors in product quality. Auto-focus is essential to adjust image quality of an IR glass in a lens holder, but there are two focal points in the captured image due to thickness of IR glass. So, sharpness, probability and a scale factor are defined to find desired focus from a multi-focus image. The sharpness is defined as clarity of an image. Probability and a scale factors are calculated using pattern matching with a registered image. The presented algorithm was applied to a lens assembly machine which has 5 axes, two vacuum chucks and an inspection system. The desired focus can be determined on the local maximum of the sharpness, the probability and the scale factor in the experiment.

• The Journal of Bigdata
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• v.3 no.2
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• pp.51-57
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• 2018

The purpose of this study is to find a valid link between color and tourism experience. We analyzed color that extracted by Aerial photo by IRI Image Scale to find color image. As an indicator of the experience of tourism, a review of the Tripadvisor was selected and analyzed through text mining. Results using text mining results and IRI image scales were generally inconsistent. To identify problems with aerial photo, the results of the analysis using the representative photographs provided by the Tripadvisor in the same way were the same as before. This indicate that details are key of tourism than the image of the overall background. This study presents new research directions by combining color analysis studies with text mining.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.404-406
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• 2002

In this paper, the method of image feature extraction is proposed. This method employ the energy field analysis, outlier removal algorithm and ring projection. Using this algorithm, we achieve rotation-translation-scale invariant feature extraction. The force field are exploited to automatically locate the extrema of a small number of potential energy wells and associated potential channels. The image feature is acquired from relationship of local extrema using the ring projection method.