• Journal of Korea Multimedia Society
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• v.12 no.9
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• pp.1233-1241
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• 2009

Over the 50 percents of women who are older than 45 years have osteoporosis. Because people hardly recognize this disease by themselves, the researches that measure bone mineral density have been doing widely to detect osteoporosis in the early stage. The most widely used methods for bone mineral density measurement are based on the X-ray imaging. Among them, DEXA(Dual-energy X-ray Absorptiometry) imaging is one of the important methods in bone mineral density measurement. DEXA images are useful methods to increase diagnosis efficiency by reducing anatomic noise as two images obtained from two different energy levels. However, it has some problems to a calibration parameter determined by the heuristic method for bone extraction. In this paper, we propose the method to extract bone in DEXA image using calibration parameter based on anatomic attenuation coefficient. The experimental results reveal that the proposed method is effective.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.5
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• pp.794-804
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• 2018

Various applications running in computers exchange information in the form of packets through the network. Most packets are formatted into UDP/IP or TCP/IP standard. Network management administrators of enterprises and organizations should be able to monitor and manage packets transmitted over the network for Internet traffic measurement & monitoring, network security, and so on. The goal of this paper is to analyze the performance of several algorithms which closely examine and analyze payloads in a DPI(Deep Packet Inspection) system. The main procedure of packet payload analysis is to quickly search for a specific pattern in a payload. In this paper, we introduce several algorithms which detect a specific pattern in payloads, analyze the performance of them from three perspectives, and suggest an application method suitable for requirements of a given DPI system.

• Fashion & Textile Research Journal
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• v.18 no.3
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• pp.317-326
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• 2016

The main purposes of this study were to segment Chinese consumers who purchase fashion products through internet commerce according to internet shopping values, to compare their online word-of-mouth acceptance and dissemination behavior, and to examine the demographic characteristics and purchase behavior of the segments. 715 questionnaires were collected through internet survey from January $19^{th}$ to March $16^{th}$, 2015 and a total of 488 were used for the final data analysis. The respondents were twenty to thirty nine years old men and women living in all over China. Hedonic and utilitarian shopping values were identified through factor analysis and based on the shopping values, the respondents were categorized into four groups-ambivalent shopping value group, hedonic shopping value group, utilitarian shopping value group and indifferent group. Among these groups, there were significant differences in terms of online word-of-mouth acceptance as well as dissemination level and motivation. In overall, ambivalent shopping value group showed high online word-of-mouth acceptance as well as dissemination motivation. The groups also showed significant differences in clothing selection criteria, frequently purchased internet shopping sites, online clothing shopping frequency and information sources. The groups also differed in terms of age, residential area, education level, occupation and income. However, there were no significant differences in gender and marital status among the groups.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.8-17
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• 2008

A new algorithm for automatic extraction of interesting objects is proposed in this paper. The proposed algorithm can be summarized in two steps. First, segmentation of color image that split interesting objects and backgrounds is performed. According to the research stating, 'Humans perceive things by contracting color into three to four essential colors,' a color image is segmented into three regions utilizing k-mean algorithm, followed by annexing the regions when the similarities of them exceeds the critical value based on the calculation of degrees in the histogram similarity, Second, identifying the interesting objects out of the segmented image, partitioned by the image composition theory, is performed. To have a good picture, it is important to adjust positions of interesting objects according to picture composition. Extracting objects is a retro-deduction process using a weighted mask designed upon the triangular composition of picture. To prove the quality of the proposed method, experiments are performed over four hundreds images as well as comparison with recently proposed KMCC and GBIS methods.

• Wind and Structures
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• v.15 no.6
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• pp.481-494
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• 2012

The greenhouse type metal structures are increasingly used in modern construction of livestock farms because they are less laborious to construct and they provide a more favorable microclimate for the growth of animals compared to conventional livestock structures. A key stress factor for metal structures is the wind. The external pressure coefficient ($c_{pe}$) is used for the calculation of the wind effect on the structures. A high pressure coefficient value leads to an increase of the construction weight and subsequently to an increase in the construction cost. The EC1 in conjunction with EN 13031-1:2001, which is specialized for greenhouses, gives values for this coefficient. This value must satisfy two requirements: the safety of the structure and a reduced construction cost. In this paper, the Navier - Stokes and continuity equations are solved numerically with the finite element method (Galerkin Method) in order to simulate the two dimensional, incompressible, viscous air flow over the vaulted roofs of single span and twin-span with eaves livestock greenhouses' structures, with a height of 4.5 meters and with length of span of 9.6 and 14 m. The simulation was carried out in a wind tunnel. The numerical results of pressure coefficients, as well as, the distribution of them are presented and compared with data from Eurocodes for wind actions (EC1, EN 13031-1:2001). The results of the numerical experiment were close to the values given by the Eurocodes mainly on the leeward area of the roof while on the windward area a further segmentation is suggested.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.1-10
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• 2013

This paper proposes a method to detect vanishing points of an indoor scene using line segment classification. Two-stage vanishing points detection is carried out to detect vanishing point in indoor scene efficiently. In the first stage, the method examines whether the image composition is a one-point perspective projection or a two-point one. If it is a two-point perspective projection, a horizontal line through the detected vanishing point is found for line segment classification. In the second stage, the method detects two vanishing points exactly using line segment classification. The method is evaluated by synthetic images and an image DB. In the synthetic image which some noise is added in, vanishing point detection error is under 16 pixels until the percent of the noise to the image becomes 60%. Vanishing points detection ratio by A.Quattoni and A.Torralba's image DB is over 87%.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.414-417
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• 2007

Citation matching (CM) is a method for clustering citation records that refer to the same paper. Normally, CM is preceded by citation field segmentation (CFS) which divides a citation record into its fields such as author(s), a title, a title of publication, year, etc. Although many studies have attacked CFS and CM, the relationship between CFS and CM was not sufficiently explored. Among many aspects of the effect of CFS on CM, this study concentrates on what citation fields should identify for CM. As its first attempt, we compared CM performances over different sets of citation fields manually segmented, and confirmed that the use of more citation fields help CM to cluster citation records better.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.1
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• pp.77-82
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• 2004

In this paper we present a barcode reader to decode two-dimensional symbology PDF417 and propose a novel method to extract the bar-space Patterns directly from the gray-level barcode image, which employs the location and the distance between extreme points of each row or column of the barcode image. This algerian proves to be very robust from the high convolutional distortion environments such as defocussing and warping, even under badly illuminating condition. If the scanned barcode image is a result of the convolution of a Gaussian-shaped point spread function with a hi-level image, popular image segmentation methods such as image thresholding can not distinguish between very narrow bar-space patterns. The Proposed algorithm shows improved Performance over current barcode readers.

• Journal of Broadcast Engineering
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• v.17 no.6
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• pp.945-953
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• 2012

A depth map can be obtained by projecting/capturing patterns of stripes using a projector-camera system and analyzing the geometric relationship between the projected patterns and the captured patterns. This is usually called structured light technique. In this paper, we propose a new multi-threading scheme for accelerating a conventional structured light technique. On CPUs and GPUs, multi-threading can be implemented by using OpenMP and CUDA, respectively. However, the problem is that their performance changes according to the computational conditions of partial processes of a structured light technique. In other words, OpenMP (using multiple CPUs) outperformed CUDA (using multiple GPUs) in partial processes such as pattern decoding and depth estimation. In contrast, CUDA outperformed OpenMP in partial processes such as rectification and pattern segmentation. Therefore, we carefully analyze the computational conditions where each outperforms the other and do use the better one in the related conditions. As a result, the proposed method can estimate a depth map in a speed of over 25 fps on $1280{\times}800$ images.

• Journal of the Korean Society of Costume
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• v.57 no.2 s.111
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• pp.29-44
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• 2007

The purpose of this study was to classify male consumer groups according to the fashion lifestyle, to examine characteristics, needs and wants of each group, and to find out differences of cosmetics purchasing behavior among each group segment. After surveying 19-50 year old males by making a visit to college, company and home, 584 samples were analyzed by using SPSS(7.0) package program. Factor analysis, cluster analysis, ANOVA, crosstabs and $X^2-test$ were used to analyse collected data. The results of this study were as follows; 1. Twenty-two questionnaires using AIO fashion lifestyle variables produced seven factors; oriented fashion, flaunting brand preference, active preference, information intention, strong personality, reasonable economy and others directivity. Three groups based on oriented seven factors: personality, fashion and economy. 2. The Personality group had strong personal characters in their fashion. Men in this group prefer casual style and were represented by singles and professionals in their 30's. The fashion group pursued fashion trends, formal wears, and high-priced fashions. They were represented by singles with high-income managerial positions in their 19-29 age group. The economy group represented the largest sample in this study(54.5%). Men in this group tended to purchase fashion goods during of good fabrics at discount stores. This group represented married man with average incomes in their 40's. 3. Each of these three groups showed significant differences in cosmetics purchasing behavior. The personality group mainly purchased cosmetics on-line market because of price. The Internet tended to be their primary source of informations. They spent under 10,000won and pursued a simple and clear image. The fashion group purchased cosmetics at department stores to benefit from the knowledge of sales personal and their source of informations in the mass media. They spent over 70,000won monthly and pursued also a simple and clear image. The economy group purchased cosmetics at discount stores because of their wide assortment of products. They spent under 30,000won monthly and pursued a simple and clear image. Each of these groups currently consume different products and have a different concept of future cosmetic products.