• Molecules and Cells
• /
• v.28 no.6
• /
• pp.565-573
• /
• 2009

The pig could be a useful model to characterize molecular aspects determining several delicate phenotypes because they have been bred for those characteristics. The Korean native pig (KNP) is a regional breed in Korea that was characterized by relatively high intramuscular fat content and reddish meat color compared to other western breeds such as Yorkshire (YS). YS grew faster and contained more lean muscle than KNP. We compared the KNP to Yorksire to find molecular clues determining muscle characteristics. The comparison of skeletal gene expression profiles between these two breeds showed molecular differences in muscle. We found 82 differentially expressed genes (DEGs) defined by fold change (more than 1.5 fold difference) and statistical significance (within 5% of false discovery rate). Functional analyses of these DEGs indicated up-regulation of most genes involved in cell cycle arrest, down-regulation of most genes involved in cellular differentiation and its inhibition, down-regulation of most genes encoding component of muscular-structural system, and up-regulation of most genes involved in diverse metabolism in KNP. Especially, DEGs in above-mentioned categories included a large number of genes encoding proteins directly or indirectly involved in p53 pathway. Our results indicated a possible role of p53 to determine muscle characteristics between these two breeds.

• The Journal of Advanced Prosthodontics
• /
• v.9 no.4
• /
• pp.252-256
• /
• 2017

PURPOSE. This in vitro study aimed to analyze and compare the reproducibility of zirconia and lithium disilicate crowns manufactured by digital workflow. MATERIALS AND METHODS. A typodont model with a prepped upper first molar was set in a phantom head, and a digital impression was obtained with a video intraoral scanner (CEREC Omnicam; Sirona GmbH), from which a single crown was designed and manufactured with CAD/CAM into a zirconia crown and lithium disilicate crown (n=12). Reproducibility of each crown was quantitatively retrieved by superimposing the digitized data of the crown in 3D inspection software, and differences were graphically mapped in color. Areas with large differences were analyzed with digital microscopy. Mean quadratic deviations (RMS) quantitatively obtained from each ceramic group were statistically analyzed with Student's t-test (${\alpha}=.05$). RESULTS. The RMS value of lithium disilicate crown was $29.2\;(4.1){\mu}m$ and $17.6\;(5.5){\mu}m$ on the outer and inner surfaces, respectively, whereas these values were $18.6\;(2.0){\mu}m$ and $20.6\;(5.1){\mu}m$ for the zirconia crown. Reproducibility of zirconia and lithium disilicate crowns had a statistically significant difference only on the outer surface (P<.001). The outer surface of lithium disilicate crown showed over-contouring on the buccal surface and under-contouring on the inner occlusal surface. The outer surface of zirconia crown showed both over- and under-contouring on the buccal surface, and the inner surface showed under-contouring in the marginal areas. CONCLUSION. Restoration manufacturing by digital workflow will enhance the reproducibility of zirconia single crowns more than that of lithium disilicate single crowns.

• Journal of Korea Multimedia Society
• /
• v.9 no.9
• /
• pp.1131-1138
• /
• 2006

This paper proposes a novel method for grading of underground communication conduits by laser projection image analysis. The equipment thrust into conduit consists of a laser diode, a light emitting diode and a camera, the laser diode is utilized for generating projection image onto pipe wall, the light emitting diode for lighting environment and the image of conduit is acquired by the camera. In order to segment profile region, we used a novel color difference model and multiple thresholds method. The shape of profile ring is represented as a minimum diameter and the Fourier descriptor, and then the pipe status is graded by the rule-based method. Both local and global features of the segmented ring shaped, the minimum diameter and the Fourier descriptor, are utilized, therefore injured and distorted pipes can be correctly graded. From the experimental results, the classification is measured with accuracy such that false alarms are less than 2% under the various conditions.

• Textile Coloration and Finishing
• /
• v.8 no.1
• /
• pp.83-89
• /
• 1996

Carbon black has been used as a particulate soil to prepare artificial soiled fabrics for detergent study but it has two major defects. The one is the difficulty of quantitative analysis of carbon black for evaluate the detergency, the other is that there is no reliable correlation between the removal of carbon black and oily soil which is the major component of natural soil. In this study ferric oxinate was used as a particulate soil since it is in black color and can be soiled on fabric by suspension in water or by solution in chloroform and it is easily analysed quantitatively by extracting it from soiled fabric with chloroform to get correct value of soil removal. The characteristics of soil removal of ferric oxinate were compared with that of carbon black and Sudan black, an oil soluble dye, which had been proved that it's detergency correlated with that of oily soil The soil removal of ferric oxinate and Sudan black estimated from quantitative analysis and from K/S value were in good agreement whereas the result calculated by simple reflectance was consistently low. The soil removal of ferric oxinate was exceeded from that of carbon black without regard to surfactants, Triton and Las, but the effect of washing conditions such as temperature and washing time on soil removal of both soils with different suffactants showed no considerable difference. Though the soil removal of Sudan black was little effected by the conditions, the soil removal in Triton exceeded considerably that of in Las, which is the characteristic of oily soil. Thus the soil removal of Sudan black was in good agreement with ferric oxinate in Triton, a non-ionic surfactant, and with carbon black in Las, an artionic surfactant. We concluded that ferric oxinate is a more realistic model particulate soil for artificial soiled cotton fabric washed with non-ionic surfactant than carbon black.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.9
• /
• pp.4491-4509
• /
• 2017

The present paper proposes a novel dynamic system for hand gesture recognition. The approach involved is comprised of three main steps: detection, tracking and recognition. First, the gesture contour captured by a 2D-camera is detected by combining the three-frame difference method and skin-color elliptic boundary model. Then, the trajectory of the hand gesture is extracted via a gesture-tracking algorithm based on an occlusion-direction oriented linear extrapolation predictor, where the gesture coordinate in next frame is predicted by the judgment of current occlusion direction. Finally, to overcome the interference of insignificant trajectory segments, the longest common subsequence (LCS) is employed with the aid of velocity information. Besides, to tackle the subgesture problem, i.e., some gestures may also be a part of others, the most probable gesture category is identified through comparison of the relative LCS length of each gesture, i.e., the proportion between the LCS length and the total length of each template, rather than the length of LCS for each gesture. The gesture dataset for system performance test contains digits ranged from 0 to 9, and experimental results demonstrate the robustness and effectiveness of the proposed approach.

• Journal of KIISE:Software and Applications
• /
• v.28 no.12
• /
• pp.947-954
• /
• 2001

In this paper, we propose a method for the recognition of various head gestures with automata technique applied to the sequence of facial pose states. Facial regions as detected by using the optimum facial color of I-component in YIQ model and the difference of images adaptively selected. And eye regions are extracted by using Sobel operator, projection, and the geometric location of eyes Hierarchical feature analysis is used to classify facial states, and automata technique is applied to the sequence of facial pose states to recognize 13 gestures: Gaze Upward, Downward, Left ward, Rightward, Forward, Backward Left Wink Right Wink Left Double Wink, Left Double Wink , Right Double Wink Yes, and No As an experimental result with total 1,488 frames acquired from 8 persons, it shows 99.3% extraction rate for facial regions, 95.3% extraction rate for eye regions 94.1% recognition rate for facial states and finally 99.3% recognition rate for head gestures. .

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.46 no.6
• /
• pp.16-25
• /
• 2009

In this paper we propose the block based image segmentation method using the cyclic properties of hue components in HSI color model. In proposed method we use center point instead of hue mean values as the hue representatives for regions in image segmentation considering hue cyclic properties and we also use directed distance for the hue difference among regions. Furthermore we devise the simple and effective method to get critical values through control parameter to reduce the complexity in the calculation of those in the conventional method. From the experimental results we found that the segmented regions in the proposed method is more natural than those in the conventional method especially in texture and red tone regions. In the simulation results the proposed method is better than the conventional methods in the in the evaluation of the human segmentation dataset presented Berkely Segmentation Database.

• Korean Journal of Food Science and Technology
• /
• v.46 no.5
• /
• pp.575-580
• /
• 2014

Model gel food samples of yanggaeng (Y) were prepared for the elderly with various gelling agents, including agar (AG), low acyl gellan (GL), ${\kappa}$-carrageenan (CA), locust bean gum (LB), glucomannan (GM), and xanthan gum (XA) in different combinations as follows (in 1:1 ratio): LB+CA, GM+XA, and GM+CA. The quality characteristics of the different combinations were compared. The results revealed that water loss was highest for Y-GL, whereas there was no significant difference among the other samples. Y-GL showed the highest values for lightness in color, whereas Y-AG showed the lowest. Regarding textural properties, Y-LB+CA had the highest hardness value, whereas Y-GL had the lowest; the hardness of Y was related to the cross-section of the added gel. Finally, Y-GM+XA exhibited the highest score in overall acceptability in the sensory test by elderly, indicating that the preferable texture by elderly is slightly chewy, but not adhesive.

• Journal of Fashion Business
• /
• v.21 no.6
• /
• pp.47-65
• /
• 2017

This study is intended to compare an actual wedding dress being made completely through 3D software, and compare it with an actual dress of a real model by using collective tools for comparative analysis. The method of the study was conducted via a literature review along with the production of the dresses. In the production, two wedding dresses for the small wedding ceremony were designed. Each of the design was made into both 3D and an actual garment. The results are as follows. First, the 3D whole body scanner reflects the measure of the exact human body size, however there were some difficulties in matching what the customer wanted, because the difference of the skin color and the hair style. Second, the pattern of the dress is much more easily altered than it was in the real production. Third, the silhouette of the virtual and the actual person with the dress was nearly the same. Fourth, textile tool was much more convenient because of the use of real-time rendering on the virtual dresses. Lastly, the lace and biz decoration were flat, and the luster was duller than in reality. Prospectively, the consumer will decide their own design of variety through the use of the avatar without wearing the actual dresses, and they would demand what the another one desired, different from the presented ones by making the corrections by themselves. Through this process, the consumer would be actively participating in the design, a step which would finally lead to the two way designing rather than the one way design of present times.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.10
• /
• pp.1462-1468
• /
• 2022

Among the data used for the diagnosis of calf disease, feces play an important role in disease diagnosis. In the image of calf feces, the health status can be known by the shape, color, and texture. For the fecal image that can identify the health status, data of 207 normal calves and 158 calves with diarrhea were pre-processed according to fecal status and used. In this paper, images of fecal variables are detected among the collected calf data and images are trained by applying GLCM-CNN, which combines the properties of CNN and GLCM, on a dataset containing disease symptoms using convolutional network technology. There was a significant difference between CNN's 89.9% accuracy and GLCM-CNN, which showed 91.7% accuracy, and GLCM-CNN showed a high accuracy of 1.8%.