• The Research Journal of the Costume Culture
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• v.7 no.4
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• pp.127-138
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• 1999

The college students selected by random sampling were classified into several groups by their impulse buying pattern and the psychological characteristics that cause them. Their life styles, fashion leadership, self-confidence and self-image in clothing were the subjects of comparative analysis. The results of this research can be summarized as follows. 1. The college women students could be classified into several groups by their impulse buying orientations. 2. The student life styles were different by their shopping orientations. The high shopping involved shopping type and the leisure pursuit shopping type attached great importance to material life and modern life style. The economic shopping type took the intellectual self-image seriously, and the low shopping involved type thought much of the traditional life style. 3. The high shopping involved type and the leisure pursuit shopping type were more impulse buying oriented. They showed the tendencies to the fashion innovativeness and fashion opinion leadership. But the economic shopping involved shopping type and low shopping involved shopping type showed quite different tendencies. The high shopping involved shopping type and low shopping involved shopping type were contrast in their self-confidence in shopping. The former showed the highest self-confidence and the latter showed the lowest self-confidence. 4. The high shopping involved shopping type were more extroversive, dominant, sensitive and pioneering. These psychological characteristics were supposed to contribute to their impulse buying. 5. The high shopping involved shopping type and the leisure pursuit shopping type perceived themselves as more sophisticated, modern, creative and sociable. They thought they had diverse life styles. These two groups were more impulse buying oriented, and their self-images were different from economic shopping type and low shopping involved shopping type.

• Journal of Fashion Business
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• v.24 no.1
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• pp.1-14
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• 2020

Based on the trend of pluralization and globalization the collapse of national borders now is a manifestation of mixed and compromised cultures and societies. It is also emerging as a hybrid fashion in fashion. Hybrid fashion means creating a new image by mixing various cultures beyond the time and space. This study aims to analyze the current state of Chinese fashion design and present its direction by grasping the characteristics of hybrids in the works of rising Chinese fashion designers in the era of pluralization. The research method was literature review and empirical research. According to the selection criteria of new fashion designers, 6 new fashion designers of 5 fashion brands were selected and their total 458 points works were analyzed. The analysis results are as follows. First, most of the time trade-offs were 'past and present' trade-offs that express Chinese traditional culture and the image of the past with modern design. The trade-offs between 'present and future' is expressed by mixing print patterns, colors and light with fractal art. Second, spatial trade-offs was expressed in the way of expressing Chinese themes in the composition of western clothing, expressing the Western themes in oriental colors, and inspired by Japanese culture expressed by deconstructionism, Third, the gender mix mainly used dark embroidery on women's clothing, while the men's wear showed a delicate feminine charm with a surreal pattern on thin and transparent gauze fabric.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.1-13
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• 2014

Hundertwasser's paintings have the characteristics in his works continue to emerge organical spirals, geometric pattern of squares, mysterious and gorgeous colors. This study by applying them, it has been purposed of expansion of representation outstanding artistic formative knitwear by using yarn of various textured fabrics and leather, felt, beads of the materials. The methods of this study are through the analysis of literature of Hundertwasser's paintings and art world and formative traits. It has been studied the literature of the theoretical background on general examination of knitwear and knit, felting, needle punching techniques. Conclusions from this study are as follows: The first, It could know the organic spirals and geometric square patterns and gorgeous colors of Hundertwasser's paintings are suitable as a decorative and rich motif of knitwear design. The second, It was possible unique and various texture expression of decorative patterns of Hundertwasser's paintings by expressing variety of materials of knit, felt and fabric, leather, beads. The third, It was expressed knitwear of unique texture to express Hundertwasser's image of the painting by using hand knitting, felting, needle punching, patchwork, beading of complex techniques. The forth, It was reflected well Hundertwasser's idea which was affected nature and art nouveau that all production processes are composed of handcraft techniques. It was suitable to express the naturalness of hand knit and not mechanical or artificial image. The fifth, It was analyzed lines and patterns of Hundertwasser's painting. The spiral is simultaneously constituted curve shape and area that square patterns also have devided area.

• Korean Institute of Interior Design Journal
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• v.25 no.2
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• pp.30-40
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• 2016

This study analyzed the attention concentration tendencies of one(1) subject who showed convergent exploratory acts actively through the gaze-brainwave measurement experiment of cafe space images and our research findings are as follows. First, the areas of interest (AOIs) that the subject gazed visually by paying attention to it and concentrating on it at a cafe space include counter&menu area, sign area, partition area, image wall area, stairs area, and movable furniture area, and built-in furniture area: seven areas in total. Second, conscious gaze frequency appeared the highest in counter&menu area, and conscious gaze appeared more later than in initial times. Third, conscious gaze pattern was divided into the zone that explored various areas dispersely (distributed exploratory zone) and the zone that explored between particular areas concentratedly (intensive exploratory zone). Fourth, as a result of analyzing the brainwave attention concentration, it was found that the attention concentration in prefrontal lobe (Fp1, Fp2) and frontal lobe (F3, F4) rose to a higher level in the zone of 15 to 16 seconds and this time zone was considered to be a zone where gazing at counter&menu area was very active. In addition, the attention concentration appeared higher in the initial zone than in the later zone, among the entire experimental time zones. Finally, as a result of analyzing the changes in activation by brain portion of the SMR wave expressed when maintaining the arousal and attention concentration, it was found that the right prefrontal lobe and the frontal lobe became activated in the time zone when the intensive exploration of "counter&menu area" and "movable furniture${\leftrightarrow}$built-in furniture area" had occurred and the time zone when the intensive exploration of "image wall${\leftrightarrow}$partition area" and "counter&menu${\leftrightarrow}$sign area" had occurred.

• The KIPS Transactions:PartB
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• v.17B no.3
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• pp.215-226
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• 2010

The structured-light 3D reconstruction technique uses a coded-pattern to find correspondences between the camera image and the projector image. To calculate the 3D coordinates of the correspondences, it is necessary to calibrate the camera and the projector. In addition, the calibration results affect the accuracy of the 3D reconstruction. Conventional camera-projector calibration techniques commonly require either expensive hardware rigs or complex algorithm. In this paper, we propose an easy camera-projector calibration technique. The proposed technique does not need any hardware rig or complex algorithm. Thus it will enhance the efficiency of structured-light 3D reconstruction. We present two camera-projector systems to show the calibration results. Error analysis on the two systems are done based on the projection error of the camera and the projector, and 3D reconstruction of world reference points.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.376-381
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• 1998

In this study, we was measured the radiance reflectance by using multi-spectral image of low resolution camera(LRC) which will be loaded in the multi-purpose satellite(KOMPSAT) to use the data in analyzing water pollution. Also we investigated the possibility of extraction of water quality factors in rivers and water body by using high resolution remote sensing data such as Airborne MSS. Especially, we tried to extract the environmental factors related with eutrophication, and also tried to develop the process technique and the radiance feature of reflectance related with eutrophication. The results were summarized as follows: First, the spectrum of sun's rays which reaches the surface of the earth was consistent with visible rays bands of 0.4${\mu}{\textrm}{m}$~0.7${\mu}{\textrm}{m}$ and about 50% of total quantity of radiation were there. And at around 0.5${\mu}{\textrm}{m}$ of green spectral band in visible rays bands, the spectrum was highest. Second, as a result of the radiance reflectance Chlorophyll-a represented high spectral reflectance mainly around 0.52${\mu}{\textrm}{m}$ of green spectral band, and suspended sediments and turbidity represented high spectral reflectance at 0.8${\mu}{\textrm}{m}$ and at 0.57${\mu}{\textrm}{m}$ each. Third, as a result of the water quality analysis by using Airborne MSS, Chlorophyll-a could have a distribution chart when carried out ratio of B3 and BS to B7. And Band 7 was useful for making the distribution chart of suspended sediments. And when we carried out PCA, suspended sediments and turbidity had distributions at PC 1 , PC 4 each similarly to ground truth data. Above results can be changed according to the change of season and time. Therefore, in order to analyze more exactly the environmental factors of water quality by using LRC data, we need to investigate constantly the ground truth data and the radiance feature of reflectance of water body. Afterward in this study, we will constantly analyze the radiance feature of the surface of water in water body by measuring the on-the-spot radiance reflectance and using low resolution satellite image(SeaWiFs). Besides, we will gather the data of water quality analysis in water body and analyze the pattern of water pollution.

• Journal of the Korean earth science society
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• v.34 no.1
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• pp.41-50
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• 2013

To analyze the distribution pattern of flood sediment deposits near the mouth of Chucheoncheon (river), side scan sonar images and seafloor sediment properties were investigated in the offshore area within about 50 m deep in water. Based on the analysis result of the sonar images, the seafloor of the study area is divided into three areas of basement, sandy-mud, and dispersed flood sediment. The colors of sonar images in each area are represented by dark black, light grey, and greyish black, respectively. The sediment composition in the grey black area shows 33.73% of gravel, 62.88% of sand, 3.37% of silt, and 0.02% of clay. On the other hand, the composition of the light grey area is 10.31% of sand, 56.42% of silt, and 33.27% of clay. Especially the sediment of the grey black area contains the considerable amount of burned plant fragments in black color, which could distinctly be differentiated from those in the offshore. The distribution pattern of the flood sediment deposits suggests that the land-originated detrital sediments seem to be transported from the Chucheon river into offshore along the shore rather than transversely. In conclusion, the longshore current of the study area is probably dominant to affect the spatial distribution of bottom features.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6611-6617
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• 2015

The purpose of this study is to compare the marginal and internal fit of metal and zirconia coping which is fabricated by manual and CAD/CAM(Computer Aided Design/Computer Aided Manufacturing). The model is prepared with Urethane material and two abutment teeth are fabricated with a knife and chamfer margin. Silicon replica technique is used to measure the marginal fit of manually fabricated and the CAD/CAM coping. Internal fitting level is measured with a microscope and the image is captured with a CCD camera. The distance between abutment teeth and coping is measured with a callibrated image analyzer software; marginal opening (MO), marginal gap (MG), internal gap (IG) at maximum curvature area, axial gap (AG), and occlusal gap (OG). Two-way ANOVA test is applied to compare fabrication technique and to analysis of abutment pattern. In addition, one-way ANOVA and Scheffe's test is used to analyze each parameter of the test. The result shows that the fit is < $120{\mu}m$ except OG of CAD/CAM and MO of knife margin. The CAD/CAM fabricated coping showed higher fit level at chamfer margin. However, knife margin showed better fitness compared to chamfer margin at MG. AG showed the minimum dimension with a constant result (< $38{\mu}m$).

• Journal of Biosystems Engineering
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• v.29 no.4
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• pp.341-346
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• 2004

Recent livestock people concern not only increase of production, but also superior quality of animal-breeding environment. So far, the optimization of the breeding and air environment has been focused on the production increase. In the very near future, the optimization will be emphasized on the environment for the animal welfare and health. Especially, cattle farming demands the precision livestock farming and special attention has to be given to the management of feeding, animal health and fertility. The management of individual animal is the first step for precision livestock farming and animal welfare, and recognizing each individual is important for that. Though electronic identification of a cattle such as RFID(Radio Frequency Identification) has many advantages, RFID implementations practically involve several problems such as the reading speed and distance. In that sense, computer vision might be more effective than RFID for the identification of an individual animal. The researches on the identification of cattle via image processing were mostly performed with the cows having black-white patterns of the Holstein. But, the native Korean and Japanese cattle do not have any definite pattern on the body. The purpose of this research is to identify the Japanese black cattle that does not have a body pattern using computer vision technology and neural network algorithm. Twelve heads of Japanese black cattle have been tested to verify the proposed scheme. The values of input parameters were specified and then computed using the face images of cattle. The images of cattle faces were trained using associate neural network algorithm, and the algorithm was verified by the face images that were transformed using brightness, distortion, and noise factors. As a result, there was difference due to transform ratio of the brightness, distortion, and noise. And, the proposed algorithm could identify 100% in the range from -3 to +3 degrees of the brightness, from -2 to +4 degrees of the distortion, and from 0% to 60% of the noise transformed images. It is concluded that our system can not be applied in real time recognition of the moving cows, but can be used for the cattle being at a standstill.

• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.327-336
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• 2004

For visual inspection system in real industrial environment, it is one of most important tasks to design fast and stable pattern matching algorithm. This paper presents an edge-based point correlation algorithm avoiding full search in visual inspection system. Conventional algorithms based on NGC(normalized gray-level correlation) have to overcome some difficulties for applying to automated inspection system in factory environment. First of all, NGC algorithms need high time complexity and thus high performance hardware to satisfy real-time process. In addition, lighting condition in realistic factory environments if not stable and therefore intensity variation from uncontrolled lights gives many roubles for applying directly NGC as pattern matching algorithm in this paper, we propose an algorithm to solve these problems from using thinned and binarized edge data and skipping full point search with edge-map analysis. A point correlation algorithm with the thinned edges is introduced with image pyramid technique to reduce the time complexity. Matching edges instead of using original gray-level pixel data overcomes NGC problems and pyramid of edges also provides fast and stable processing. All proposed methods are preyed from experiments using real images.