• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.5
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• pp.77-83
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• 2008

In this study, land cover classification and NDVI evaluation for hazard mitigation precaution are carried out in surrounding areas of Yeongi-gun, Chungcheongnam-do ($132\;km^2$) where a project for multi-functional administrative city is promoted by government. Image acquired from KOMPSAT 2, LANDSAT and ASTER is utilized and comparative evaluation on limitation in classification based on resolution was carried out. The area mainly consists of arable land including mountains, rice fields, ordinary fields, etc thus special attention was paid to the classification of rice fields and ordinary fields. For the classification of image acquired from KOMPSAT 2, segmentation technique for classification of high-resolution image was applied. To evaluate the accuracy of the classification, field investigation was conducted to examine the sample and it was compared with the land usage and classification of land category in land ledger of Korea. Acquired results were made into theme map in shape file format and it would be of great help in decision making of policy for the future-oriented development plan of multi-functional administrative city.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.204-206
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• 2003

In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But, the accuracy of traditional methods based on pixel-based classification is not high in general. In this study, object oriented classification based on image segmentation is used to classify Landsat images. A necessary prerequisite for object oriented image classification is successful image segmentation. Object oriented image classification, which is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values , shape and texture. Landsat images are divided into urban, agriculture, forest, grassland, wetland, barren and water in sochon-gun, Chungcheongnam-do using object oriented classification algorithms in this paper. Preliminary results will help to perform an automatic image classification in the future.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.137-146
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• 2020

The manual measurements of 182 unmarried women subjects in their 20s was classified 4-breast types. For the breast type classification, 4 factors were identified, such as overall breast factor, upper breast internal shape factor, breast volume factor, and lower breast external shape factor. The breast shapes were 'breast with well-grown upper part', 'flat breast', 'breast with well-grown lower part', and 'protruded breast'. The breast types can be differentiated in 10 items of actual anthropometric dimension the length between frontal neck point and nipple point, length between lateral neck point and nipple point, length between the breast inner points, nipple to nipple breadth, diameter below the breast, inner depth of breast, outer length of breast, length below the breast, length between breast outer point and upper breast point, and contour line length below the breast.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.313-320
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• 1999

In this paper, a translation, rotation and scale invariant system for the classification of closed 2D images using the bispectrum of a contour sequence and the weighted fuzzy mean method is derived and compared with the classification process using one of the competitive neural algorithm, called a LVQ(Learning Vector Quantization). The bispectrun based on third order cumulants is applied to the contour sequences of the images to extract fifteen feature vectors for each planar image. These bispectral feature vectors, which are invariant to shape translation, rotation and scale transformation, can be used to represent two-dimensional planar images and are fed into an classifier using weighted fuzzy mean method. The experimental processes with eight different shapes of aircraft images are presented to illustrate the high performance of the proposed classifier.

• Journal of Fashion Business
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• v.11 no.5
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• pp.124-135
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• 2007

To understand tendency of body shapes of Chinese women who reside in Beijing and Shanghai for improving the match of exported clothes to China, this categorizes the bodies by extracting the elements of the objects and understanding body promotion. To categorize the subject by not size factor but form factor, data were compared and analyzed mainly with index based on measurement of the body. This selected specimen as 1381 of Chinese women from 19 to 50 selected in random sampling in Shanghai and Beijing from 23th, June to 7th August in 2004. 1. Chinese women is generally separated in 7.09 parts and upper body including waist shapes round. 2. The elements indicating the women's physical properties are obesity, the size of upper part, front shape, side shape, shoulder and back shape, perpendicular size and lower part length, body shape. 3. The Chinese are categorized by three factors. Normal shape which is not both fat and skinny, records the highest in the ranking.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.1
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• pp.1-16
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• 2021

This study classified short adult male body types and identified characteristics by body type according to Size Korea's 7th human system measurement data for men in their 20s to 60s. There were four body types for short adult males. Type 1 was a 'short bird legs-normal body shape' with an average body size, low body height, short torso length, thin legs, and no sagging shoulders. Type 2 was a 'short torso thin body' with a small body size, a slim body, a high body height, a short torso length and no sagging shoulders. Type 3 was a 'thick leg-overweight body shape' with a large body size, thick legs, low body height, small shoulder length and obesity. Type 4 was a 'long bird legs-normal body' with a normal body size, high body height, thin legs, long torso and sagging shoulders. The development of clothing design and pattern reflecting the body shape characteristics of short adult males should be improved to fit clothing and suitability. It is necessary to increase the satisfaction of ready-to-wear for consumers with various body types by adding the size for shorter men through a subdivision of the ready-made size system.

• Journal of architectural history
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• v.24 no.6
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• pp.57-66
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• 2015

As Sri Lanka Stupa had been affected by Indian stupa directly, understanding Sri Lanka Stupa is important to know about the flow of Buddhist Art History, which is showing the variation of Initial Buddhist stupa. Due to invasions and disasters, all Sri Lanka's Stupa collapsed and became random mound. After restoration works, Stupa shape changed dramatically from the Initial shape to Existing shape. Since it is hard to find out how Initial stupas were like, Sanchi Stupa needed to be an example for the comparative study as an Initial shape. Sri Lanka Stupa have Square foundation and 3 Basal rings that are supporting the Main Dome. Entrances are on all 4 sides, Railing and Torana(gate) has never found in Sri Lanka stupa. Sri Lanka stupa has been classified with the shape of Dome into 6~8 types according to "Vijayanta Potha", the Ancient Buddhist Description, and described by several researchers confusingly. With the inconvenience of using unfamiliar words and irrational gap between the Initial Sri Lanka stupa and Existing Sri Lanka stupa, proposing new classification of Sri Lanka Stupa is necessary. Existing Sri Lanka Stupa can be classified into 4 types : which is (1)Bell type, (2)Pot type, (3)Mound type, (4)Bubble type. This suggestion is for further studies to use Easier and shorter words to describe the types and make it reasonable to use, since the current classification includes 3 stupa types even there is no case for any of them. Restrict Stupa Classifications within existing Sri Lanka Stupa is needed because the current classification had been continued for hundreds of years without any adjustments. Bell type is mainly located in Anuradhapura. Pot type and Mound type is only found in limited area, and Bubble type is located in most area of Sri Lanka.

• The Korean Journal of Applied Statistics
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• v.37 no.1
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• pp.73-86
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• 2024

A radial chart of Excel is very useful graphical method in delivering information for numerical data. However, it is not easy to discriminate or classify many individuals. In this case, after shaping each individual of a radial chart, we need to apply shape analysis. For a radial chart, since landmarks for shaping are formed as many as the number of variables representing the characteristics of the object, we consider a shape that connects them to a line. If the shape becomes complicated due to the large number of variables, it is difficult to easily grasp even if visualized using a radial chart. Principal component analysis (PCA) is performed on variables to create a visually effective shape. The classification table and classification rate are checked by applying the techniques of traditional discriminant analysis, support vector machine (SVM), and artificial neural network (ANN), before and after principal component analysis. In addition, the difference in discrimination between the two coordinates of generalized procrustes analysis (GPA) coordinates and Bookstein coordinates is compared. Bookstein coordinates are obtained by converting the position, rotation, and scale of the shape around the base landmarks, and show higher rate than GPA coordinates for the classification rate.

• Transactions on Control, Automation and Systems Engineering
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• v.2 no.3
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• pp.182-188
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• 2000

High-frequency electric resistance welding (HERW) technique is one of the most productive manufacturing method currently available for pipe and tube production because of its high welding speed. In this process, a heat input is controlled by skilled operators observing color and shape of bead but such a manual control can not provide reliability and stability required for manufacturing pipes of high grade quality because of a variety of bead shapes and noisy environment. In this paper, in an effort to provide reliable quality inspection, we propose a neural network-based method for classification of bead shape. The proposed method utilizes the structure of Kohonen network and is designed to learn the skill of the expert operators and to provide a good solution to classify bead shapes according to their welding conditions. This proposed method is implemented on the real pipe manufacturing process, and a series of experiments are performed to show its effectiveness.

• Journal of Korea Multimedia Society
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• v.22 no.8
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• pp.852-859
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• 2019

With the development of IT technology and smart devices, various applications utilizing image information are being developed. In order to provide an intuitive interface for pronunciation recognition, there is a growing need for research on pronunciation recognition using mouth feature values. In this paper, we propose a system to distinguish Korean vowel pronunciations by detecting feature points of lips region in images and applying Bayesian based learning model. The proposed system implements the recognition system based on Bayes' theorem, so that it is possible to improve the accuracy of speech recognition by accumulating input data regardless of whether it is speaker independent or dependent on small amount of learning data. Experimental results show that it is possible to effectively distinguish Korean vowels as a result of applying probability based Bayesian classification using only visual information such as mouth shape features.