• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1998.06a
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• pp.140-147
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• 1998

The texture evolution by deep drawing was investigated and the lattice rotation rate was predicted using rate sensitive model with full constraints boundary conditions. The calculated textures show different behaviors with the amount of the flange deformation and initial crystal orientations. Among the crystal orientations located parallel to RD, the crystal orientations around the D component rotated toward the Cu component, the crystal orientations along the ${\alpha}$ fiber rotated toward the {110}<001> and {110}<111> components during deep drawing. In the case of the part parallel to 45$^{\circ}$ with respect to RD, the crystal orientations around the D component rotated about ND and the crystal orientations along the ${\alpha}$ fiber also rotated toward the (110)[23] and (110)[27] components about ND. In the part parallel to TD, the crystal orientations around the D component rotated toward the Rotated Cube and the crystal orientations along the ${\alpha}$ fiber rotated toward the {110}<113> component.

• Journal of Korea Multimedia Society
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• v.18 no.1
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• pp.17-24
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• 2015

In this paper, a novel scheme for correcting rotated region in medical images using SIFT(Scale Invariant Feature Transform) algorithm is presented. Using the feature extraction function of SIFT, the rotation angle of rotated object in medical images is calculated as follows. First, keypoints of both reference and rotated medical images are extracted by SIFT. Second, the matching process is performed to the keypoints located at the predetermined ROI(Region Of Interest) at which objects are not cropped or added by rotating the image. Finally, degrees of matched keypoints are calculated and the rotation angle of the rotated object is determined by averaging the difference of the degrees. The simulation results show that the proposed scheme has excellent performance for correcting the rotated region in medical images.

• Transactions of Materials Processing
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• v.7 no.6
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• pp.570-574
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• 1998

The texture evolution during deep drawing of AA1050 sheets was experimentally investigated and the lattice rotation rate was predicted using rate sensitive model with full constraints boundary conditions. The measured textures are dependent on the amount of the flange deformation and the initial crystal orientations. In the specimen parallel to RD the initial crystal orientations and the D component rotated toward the Cu component and the initial crystal orientations along the $\alpha$ fiber rotated toward the G {1 1 0}<0 0 1> and P {1 1 0} <1 1 1> components during deep drawing. In the specimen parallel to $45{\circ}$ with respect to RD the initial crystal orientations around the D component rotated about ND and the initial crystal orientations along the ${\alpha}$ fiber also rotated toward the (1 1 0) [2 3] and (1 1 0)[2 7] components about ND. In the specimen parallel to TD. the initial crystal orientations around the D component rotated toward the rotated cube and the initial crystal orientations along the ${\alpha}$ fiber rotated toward the {1 1 0} <1 1 3> component.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.85-92
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• 2021

In this paper, a method for effectively detecting rotated face and rotation angle regardless of the rotation angle is proposed. Rotated face detection is a challenging task, due to the large variation in facial appearance. In the proposed polar coordinate transformation, the spatial information of the facial components is maintained regardless of the rotation angle, so there is no variation in facial appearance due to rotation. Accordingly, features such as HOG, which are used for frontal face detection without rotation but have rotation-sensitive characteristics, can be effectively used in detecting rotated face. Only the training data in the frontal face is needed. The HOG feature obtained from the polar coordinate transformed images is learned using SVM and rotated faces are detected. Experiments on 3600 rotated face images show a rotation angle detection rate of 97.94%. Furthermore, the positions and rotation angles of the rotated faces are accurately detected from images with a background including multiple rotated faces.

• Physical Therapy Korea
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• v.17 no.4
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• pp.8-15
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• 2010

This study was designed to investigate the effect of different hand positions on scapulothorcic muscle activities during push-up plus exercises. Fourteen healthy males performed push-up plus exercises under three conditions (neutral, $90^{\circ}$ internally rotated, and $90^{\circ}$ externally rotated hand positions), during which the activities of the serratus anterior, pectoralis major, and upper trapezius muscles were recorded using surface electromyography. The statistical significance at three different hand positions was tested by repeated one-way ANOVA. The mean activities of the serratus anterior increased and the mean activities of the pectoralis major decreased in the order of neutral hand position, internally rotated hand position, and externally rotated hand position. There was a significant difference during push-up plus between neutral and externally rotated hand positions as well as in the serratus anterior/pectoralis major activity ratio (p<.0.5). However, no significant differences were found in the activity of the upper trapezius muscle or the serratus anterior/upper trapezius activity ratio. We suggest that the push-up plus exercise performed in the externally rotated hand position could a beneficial strategy for selective strengthening of the serratus anterior muscle, while minimizing the activity of the pectoralis major muscle.

• Journal of KIISE:Software and Applications
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• v.34 no.10
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• pp.945-952
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• 2007

The face detection is a necessary first-step in the face recognition systems, with the purpose of localizing and extracting face regions from input images. But it is not a simple problem, because faces have many variations such as scale, rotation and lighting condition. In this paper, we propose a novel method to detect not only frontal faces but also partial rotated faces in still images. Firstly, we produce the eye candidates in the sub-regions of an input image to detect rotated faces. Secondly, the eye candidates are used to measure the angles of rotated faces. Thirdly, we are able to derotate the rotated face then put it to Bayesian classifier. We make an experiment with rotated multiracial face and show the good results in this paper.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.896-902
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• 2021

Rotated face detection is required in many applications but still remains as a challenging task, due to the large variations of face appearances. In this paper, a polar coordinate transform that is not affected by rotation is proposed. In addition, a method for effectively detecting rotated faces using the transformed image has been proposed. The proposed polar coordinate transform maintains spatial information between facial components such as eyes, mouth, etc., since the positions of facial components are always maintained regardless of rotation angle, thereby eliminating rotation effects. Polar coordinate transformed images are trained using AdaBoost, which is used for frontal face detection, and rotated faces are detected. We validate the detected faces using LBP that trained the non-face images. Experiments on 3600 face images obtained by rotating images in the BioID database show a rotating face detection rate of 96.17%. Furthermore, we accurately detected rotated faces in images with a background containing multiple rotated faces.

• Journal of Korean Academy of Nursing
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• v.42 no.1
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• pp.116-124
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• 2012

Purpose: The study was done to compare effects of two endotracheal tube (ET tube) fixation methods (rotated fixation versus conventional) on unplanned extubation and skin integrity for orally intubated patients in intensive care units. Methods: The research design was a non-equivalent control group with repeated measures design. Participants were 80 patients; 40 participants assigned to each group. ET tube for the experimental participants fixed with rotated method every morning. Unplanned extubation was assessed by bedside nurses using the unplanned extubation report form. Oral mucosa and facial skin integrity were assessed using oral assessment guide and facial skin integrity assessment guide at day 3, 7, 10 and 14. Results: There was no difference in the unplanned extubation rate between the two groups. Oral mucosa impairment scores for the rotated fixation method were significantly lower at day 7 (p=.044), 10 (p=.048) and day 14 (p=.037). Also facial skin integrity impairment scores for the same group were significantly lower at day 7 (p=.010), 10 (p=.003), and 14 (p=.002). Conclusion: Results of the study suggest that the rotated fixation method is effective for these patients, to prevent impairment of oral mucosa and facial skin integrity. Further research is needed to prevent unplanned extubation.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.20 no.2
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• pp.219-225
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• 1990

Panoramic radiography is convenient in clinic and visualizes those areas which other technique do not give. But the technique has limitation of image distortion which results from the relationship of the ramus to the focal trough and from the direction of the central ray. This study is, using 7 dry skulls, to determine the effect of rotation of patient's head on reducing those distortion and determine the magnification ratio of images of mandibular condyle in rotated patient head position. The obtained results were as follows: 1. Generally, in panoramic radiography the anterolateral portion of the mandibular condyle was best to be visualized. 2. There are no significant difference between the image readability of anteromedial portion and that of anterocentral portion of the mandibular condyle. 3. Anterolateral portion of the mandibular condyle was better visualized in rotated head position by 20 degree or horizontal condylar inclination than in conventional position or in rotated head position by 10 degree. 4. The magnification ratio of the anteroposterior diameter in the image of mandibular condyle was least in the rotated head position by horizontal inclination of the mandibular condyle and was largest by 20 degree.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.291-295
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• 2008

In this paper, we propose an input image reduction method to solve the problems of Radon transform which is a line structure analysis tool to correct a rotated object through a vision system. First we extract an object image removed background from the input image. Then we also select a reduced object image as a final input mage of Radon transform from the object image by considering slope. Finally we extract a rotated angle by using Radon transform with the final input image and correct the rotated object with the angle. In experimental results, we could improve the process time of about 64%, reduce the memory space of about 18% and make progress the line detection rate of about 18%.