• Korean Journal of Health Education and Promotion
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• v.18 no.3
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• pp.163-175
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• 2001

The purpose of this study is to collect fundamental data for weight control education based on obesity, weight control practices and body image in female college students. Those surveyed were 364 female college students attending universities in Seoul, Kyoung-Gi and Chung Cheung Buk Do. The data were collected from June 1, 1999 to September 10, 1999. The resulting data are as follows: 1. The mean BMI of the female college students was 19.78:t1.87kg/$\textrm{m}^2$, which comes within the range of normal weight. Underweight, normal weight and overweight students were respectively 27.2%, 66.8% and 5.5%. As many as 7.1% of the underweight students and 42.8% of the normal weight students described themselves as being "fatty". 2. Of these subjects, 83.5% reported wanting to lose weight, and the primary reason of weight control was to improve their appearance. The mean weight that they wanted to lose was 5.2$\pm$2.7kg, and 68.7% of the respondents had tried to lose weight. Among them, the most frequently reported weight control behavior was dieting followed by exercise, 30% reported fasting, 3.6% reported using drugs, 4.4% reported smoking and 3.6% reported vomiting. As to the weight loss effect, 96.7% of the subjects used behavior modification, 82.5% of the students exercised, and 76.1% of the dieters reported they had lost weight. 3. As to body image, many female college students were dissatisfied with their body figures, especially thighs(70.3%), hips(60.4%), abdomens(60.2%), and weight(55.2%). The body image of the students that perceived themselves as "fatty" was the lowest. 4. There were significant differences in the mean weight that they wanted to lose and the weight control attempts according to weight perception. Those that perceived themselves as "fatty" wanted to lose more weight, and had more weight control experiences. In conclusion, attempts at weight control are common in the female college students and many students appear to be dissatisfied with their body shapes. It is important to educate about healthy weight control methods and raise their awareness of the positive body image.ss of the positive body image.

• Journal of Biomedical Engineering Research
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• v.30 no.6
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• pp.461-468
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• 2009

Magnetic resonance electrical impedance tomography (MREIT) enables us to perform high-resolution conductivity imaging of an electrically conducting object. Injecting low-frequency current through a pair of surface electrodes, we measure an induced magnetic flux density using an MRI scanner and this requires a sophisticated MR phase imaging method. Applying a conductivity image reconstruction algorithm to measured magnetic flux density data subject to multiple injection currents, we can produce multi-slice cross-sectional conductivity images. When there exists a local region of fat, the well-known chemical shift phenomenon produces misalignments of pixels in MR images. This may result in artifacts in magnetic flux density image and consequently in conductivity image. In this paper, we investigate chemical shift artifact correction in MREIT based on the well-known three-point Dixon technique. The major difference is in the fact that we must focus on the phase image in MREIT. Using three Dixon data sets, we explain how to calculate a magnetic flux density image without chemical shift artifact. We test the correction method through imaging experiments of a cheese phantom and postmortem canine head. Experimental results clearly show that the method effectively eliminates artifacts related with the chemical shift phenomenon in a reconstructed conductivity image.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.11
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• pp.109-115
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• 1994

In this paper, we developed an analyzing method of the motional characteristics of sperm, using image processing technology. Without the aid of a dedicated image-processor, this processing of a personal computer(PC) and a simple image processing board. The image processing board is used for acquiring images from a microscopic imaging source. The PC processes the images from the board and computes the parameters of motional characteristics of sperms. The algorithm of the site detection of sperms and the 'Match Matrix Method' is noteworthy. After comparing the results of our method with those of the manual method, and with those of the method using a dedicated image-processor, we concluded that our method is useful and reliable.

• Journal of Korean Clinical Nursing Research
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• v.21 no.2
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• pp.169-179
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• 2015

Purpose: The purpose of this study was to investigate nurse images and likability that were perceived by various groups in the general population. Methods: Using cross-sectional descriptive design, six groups of people were invited to participate in the survey. The participants included nurses, physicians, nurse aids/technicians, patients/caregivers, college students, and the general public. A total of 1,530 individuals were drawn from 42 hospitals nationwide. Bhargava's likability questionnaires and the Ward Nurse Image tool were used. Results: Compared with other groups, patients and caregivers had higher scores for likability and better nurse image than other groups. Most respondents perceived nurses are clean and caring, but many individuals still had the image that nurses are submissive. Conclusion: To improve nurse image, perceptions from various groups of people need to be considered and programs develop to show the positive aspects of nursing and nurses.

• Fashion & Textile Research Journal
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• v.7 no.6
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• pp.633-640
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• 2005

The main objective of this research is how they recognize the face appearance before and after the make-up, based upon the survey on the female college students of their 20s (221 College students in Daegu metropolitan City), who are very conscious about their appearance. In addition, it is to provide the fundamental findings, which are necessary to establish the appearance management of self-concept through the make-up. The results are as follows: About 78% of subjects are performing the make-up on daily basis or needs basis, and 91.6% of the subjects wanted to have more elegant and improved make-up. Comparing the self-satisfaction level before and after the make-up, the satisfaction level on their appearance has been very much improved to 77.2% after the make-up, while the level was 28.8% before the make-up. It has been found out that the purpose of the make-up is more appreciated in pursuing the self-concept, rather than pursuing the beauty. Also we revealed that they could achieve a certain level of psychological stability by improving each individual's social image. We also found out that the stylish and modern style of image contributed more to the satisfaction level of make-up, compared with the image of neatness, individuality, delicacy, or youthfulness.

• Proceedings of the KOSOMBE Conference
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• v.1990 no.11
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• pp.42-47
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• 1990

In this paper, a new adaptive image processing method based on human visual system has been presented. The basic idea behind the proposed method is to improve the efficiency of the information transfer channel regionally by manipulating the displayed image in order to compensate the regional inefficiency of the information transfer channel. The proposed method consists of two parts; the first part reallocates pixel values corresponding to high X-ray attenuation to that of more intense X-ray exposure by multiplying the pixel values with the local adaptive multiplcation factor, and the second part adjusts the pixel values of dark area of displayed image such as overexposed lung area to be more bright. The processed image with the proposed method shows significantly increased visibility of mediastinal and subdiaphramatic area, and also the lung area of over exposed case without any artifact.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.129-134
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• 2023

The greatest challenge of this century is the protection of stored and transmitted data over the network. This paper provides a new hybrid algorithm designed based on combination algorithms, in the proposed algorithm combined with Hill and the Advanced Encryption Standard Algorithms, to increase the efficiency of color image encryption and increase the sensitivity of the key to protect the RGB image from Keyes attackers. The proposed algorithm has proven its efficiency in encryption of color images with high security and countering attacks. The strength and efficiency of combination the Hill Chipper and Advanced Encryption Standard Algorithms tested by statical analysis for RGB images histogram and correlation of RGB images before and after encryption using hill cipher and proposed algorithm and also analysis of the secret key and key space to protect the RGB image from Brute force attack. The result of combining Hill and Advanced Encryption Standard Algorithm achieved the ability to cope statistically

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3165-3168
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• 1999

When a input image is extensively magnified on the computer system, it is almost impossible to replicate the original shape because of mismatched coordinates system. In order to resolve the problem, the shape of the magnified image has been reconfigured using the bilinear interpolation method, low pass special filtering interpolation method and B-spline interpolation method. Ferguson curve interpolation method based on the CAD/CAM curve interpolation algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2366-2395
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• 2018

Multi-view super-resolution (MVSR) refers to the process of reconstructing a high-resolution (HR) image from a set of low-resolution (LR) images captured from different viewpoints typically by different cameras. These multi-view images are usually obtained by a camera array. In our previous work [1], we super-resolved multi-view LR images via image fusion (IF) and blind deblurring (BD). In this paper, we present a new MVSR method that jointly realizes IF and BD based on an integrated energy function optimization. First, we reformulate the MVSR problem into a multi-channel blind deblurring (MCBD) problem which is easier to be solved than the former. Then the depth map of the desired HR image is calculated. Finally, we solve the MCBD problem, in which the optimization problems with respect to the desired HR image and with respect to the unknown blur are efficiently addressed by the alternating direction method of multipliers (ADMM). Experiments on the Multi-view Image Database of the University of Tsukuba and images captured by our own camera array system demonstrate the effectiveness of the proposed method.

• Smart Structures and Systems
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• v.6 no.4
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• pp.389-403
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• 2010

By using image recognition technology, this paper presents a new fault diagnosis method for rotating machinery with artificial immune algorithm. This method focuses on the vibration state parameter image. The main contribution of this paper is as follows: firstly, 3-D spectrum is created with raw vibrating signals. Secondly, feature information in the state parameter image of rotating machinery is extracted by using Wavelet Packet transformation. Finally, artificial immune algorithm is adopted to diagnose rotating machinery fault. On the modeling of 600MW turbine experimental bench, rotor's normal rate, fault of unbalance, misalignment and bearing pedestal looseness are being examined. It's demonstrated from the diagnosis example of rotating machinery that the proposed method can improve the accuracy rate and diagnosis system robust quality effectively.