• Journal of the Korean Society of Radiology
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• v.11 no.2
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• pp.87-94
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• 2017

Monte Carlo simulations were used to assess dose enhancement effects for 60-, 90-, 120-, and 150-kV X-rays, and for 6- and 15-MV X-rays. The MCNPX code was used for a computer simulation of the ICRU slab phantom, and gold, gadolinium, and iron oxide (Fe2O3) were employed as dose enhancement agents. In consideration of the buildup region of the incident energy, agent concentrations of 5, 10, 15, and 20 mg/g were inserted on the surface of the phantom at a depth of 5 cm. Based on baseline values obtained in the absence of dose enhancement agents, a quantitative analysis was performed by evaluating depth-dependent changes in the absorbed energy and the dose enhancement factor (DEF). A higher concentration of dose enhancement agents led to a greater dose enhancement effect with iron oxide, gadolinium, and gold in descending order. For kilovoltage (kV) X-rays, as the incident energy was decreased and as the energy became closer to the ionization potential of the atoms in the enhancement agent, the dose enhancement effect increased. In the megavoltage (MV) X-ray range, dose enhancement was higher at 6 MV compared with 15 MV. However, the overall dose enhancements were significantly lower compared to the results obtained with kV X-rays.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.9
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• pp.2206-2212
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• 2013

We propose a method for the classification of fatty liver by ultrasound imaging using Fuzzy Contrast Enhancement Technique and FCM. ROI images are extracted after removal of information data except ultrasound image of the liver and the kidney then image contrast is improved by Fuzzy Contrast Enhancement Algorithm. The images applied Fuzzy Contrast Enhancement Technique is applied average binarization then ROI images of liver and kidney parenchyma are extracted using Blob algorithm. Representative brightness is extracted in the liver and kidney images using the most frequent brightness level after classification of 10 brightness levels. We applied this method to ultrasound images and a radiologist confirmed the accuracy of diagnosis for fatty liver. This method would be a model for automatic method in the diagnosis of fatty liver.

• Journal of Korean society of Dental Hygiene
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• v.12 no.6
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• pp.1183-1192
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• 2012

Objectives : This study is for suggesting the data base for help mother and child improve the oral health enhancement action from understanding child's oral health enhancement action from mother's oral health education experience and researching the effects of mother's oral health enhancement action on child's oral health enhancement action. Methods : The subject was 220 children and mothers of some kindergarten in Jeollabuk-do, Korea out of convenience'sampling. The results were collected by carrying out a survey out of self record method from visiting the kindergarten from June 24th to July 12th. and were analyzed. Results : 1. The mother's and child's oral health enhancement action was satisfactory in the factor of 'toothbrushing', 'oral hygiene care item' and 'periodic visits' in case the subjects have experienced oral health education, and that data was meaningful statistically. 2. In the oral health enhancement action practiced by mother to child from existence or absence of the mother's oral health education experience, the data was meaningful statistically in the factor of 'directly brushing its teeth more than once a day', 'washing its tongue' and 'coaching that child could keep the toothbrush not to overlap with other toothbrushes'. 3. In the factor that affect to oral health enhancement action practiced by mother to child, 'toothbrushing' and 'oral hygiene care item' were high level of the mother's oral health enhancement action, and that data was meaningful'statistically. Conclusions : The children's oral health condition could be influenced by mother's oral health knowledges and attention. Accordingly, oral health education for the mother and child has to be enforced'systematically'suited for the characteristic change of oral condition with children age groups. Also, utilizing human resources who have expertise and development of the oral health education program are needed.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.9
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• pp.110-117
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• 2016

Applying the contrast enhancement algorithms to luminance values of color images is a widely used approach to enhance the contrast of color images. The results obtained by this approach have reduced saturation compared with that of the original images in spite of contrast enhancement without color degradation. Applying the contrast enhancement algorithm to each channel of color images is another approach for the contrast enhancement of color images. This method produces improved images in terms of contrast and saturation while the hue of original images is changed. In this paper, main cause of color degradation is analyzed and then solving the problem based on the analysis. The channel adaptive contrast enhancement method considering characteristics of each channel is also proposed to deal with color degradation. As a result, the proposed method enhances the contrast and saturation simultaneously without color degradation. Experimental results show that the proposed method outperforms the conventional methods not only on subjective evaluation but on objective criteria.

• Journal of Veterinary Clinics
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• v.37 no.1
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• pp.28-33
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• 2020

The aims of this study were to obtain the normal ranges of enhancement parameters for salivary gland in dynamic CT and to investigate the effects of fasting time on contrast enhancement in clinically normal beagle dogs. With five healthy beagle dogs, dynamic CT examination was performed according to fasting times (as fasting times, 12hours, 0 min, 20 min, 40 min, 1 hours, 6 hours, 24 hours). In normal beagles with 12hours fasting, enhancement parameters through the preliminary study were as follows: ImaxA - 472 .49 ± 19.01 HU; ImaxS - 138.95 ± 6.2 5 HU; TmaxA - 25.8 ± 1.79 sec; TmaxS - 69.0 ± 23.11 sec; Teq - 80.5 ± 6.61 sec; T-Aeq - 54.5 ± 5.51 sec (Imax - peak enhancement; Tmax - time to peak enhancement; Teq - time to equilibrium phase; T-Aeq - time between peak enhancement in the common carotid artery and onset of the equilibrium phase; A - common carotid; S - submandibular gland; HU - Hounsfield unit). Additionally, ImaxA and ImaxS were significantly increased in 40 min after eating. Because these results associated with postprandial hemodynamic changes can make the diagnosis of salivary gland diseases more difficult, sufficient fasting time is important for accurate diagnosis.

• Korean Journal of Culture and Social Issue
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• v.9 no.2
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• pp.79-99
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• 2003

Two investigations were carried out to understand the relationship between self-enhancement bias and psychological adjustment. In study 1, a scale for measuring the self-enhancement bias was constructed and the relationship between self-enhancement bias and psychological adjustment was examined in Korean college students. The relationship between two variables was significant in Korean college students. At study 2, college students and laborers in Korea and Germany participated to examine the relationship between two variables. It was significant both samples. This is very interesting result because it is reverse the existing outcomes that there are no self-enhancement bias and no relationship between self-enhancement and psychological adjustment in collective cultures. It is need to develop more refined measure tool and to do comparison with various cultures for more profound research on self-enhancement bias and cultural difference.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.980-997
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• 2024

To improve the brightness of images and reveal hidden information in dark areas is the main objective of low-light image enhancement (LLIE). LLIE methods based on deep learning show good performance. However, there are some limitations to these methods, such as the complex network model requires highly configurable environments, and deficient enhancement of edge details leads to blurring of the target content. Single-scale feature extraction results in the insufficient recovery of the hidden content of the enhanced images. This paper proposed an edge detection-based multi-scale feature enhancement network for LLIE (EDMFEN). To reduce the loss of edge details in the enhanced images, an edge extraction module consisting of a Sobel operator is introduced to obtain edge information by computing gradients of images. In addition, a multi-scale feature enhancement module (MSFEM) consisting of multi-scale feature extraction block (MSFEB) and a spatial attention mechanism is proposed to thoroughly recover the hidden content of the enhanced images and obtain richer features. Since the fused features may contain some useless information, the MSFEB is introduced so as to obtain the image features with different perceptual fields. To use the multi-scale features more effectively, a spatial attention mechanism module is used to retain the key features and improve the model performance after fusing multi-scale features. Experimental results on two datasets and five baseline datasets show that EDMFEN has good performance when compared with the stateof-the-art LLIE methods.

• Journal of Korea Multimedia Society
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• v.15 no.12
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• pp.1409-1416
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• 2012

An image segmentation result depends on pre-processing steps such as contrast enhancement, edge detection, and smooth filtering etc. Especially medical images are low contrast and contain some noises. Therefore, the contrast enhancement and noise removal techniques are required in the pre-processing. In this study, we present an extension by a novel histogram equalization in which both local and global contrast is enhanced using neighborhood metrics. When checking neighborhood information, filters can simultaneously improve image quality. Most important is that original image information can be used for both global brightness preserving and local contrast enhancement, and image quality improvement filtering. Our experiments confirmed that the proposed method is more effective than other similar techniques reported previously.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.810-822
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• 2014

This study investigated the effects of sociocultural influence and body image on appearance enhancement behavior (facial management, clothing selection, and weight/figure management). For data collection, a questionnaire was administrated to 378 female college students in Seoul and Gyeonggi-do from May $23^{rd}$ to June $10^{th}$ 2013. A SPSS 18.0 statistics package was used to analyze data along with descriptive statistical analysis, frequency analysis, factor analysis, reliability analysis, and regression analysis and frequency analysis. The results were as follows. First, sociocultural influences were divided into three factors: media influence, peer influence, and parental influence. Overall sociocultural influences had positive effects on appearance enhancement behavior. Second, body image was divided into: appearances-management, body-satisfaction and body confidence. Sociocultural influences had a significant effect on overall body image. Third, body image positively affected overall appearance enhancement behavior.

• Proceedings of the Acoustical Society of Korea Conference
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• 1985.10a
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• pp.87-94
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• 1985

In this paper, enhancement of speech corrupted by additive white or colored noise is stuided. The nuconstrained frequency-domain block least-mean-square (UFBLMS) adaptation algorithm and its frequency-weighted version are newly applied to speech enhancement. For enhancement of speech degraded by white noise, the performance of the UFBLMS algorithm is superior to the spectral subtraction method or Wiener filtering technique by more than 3 dB in segmented frequency-weighted signal-to-noise ratio(FWSNERSEG) when SNR of speech is in the range of 0 to 10 dB. As for enhancement of noisy speech corrupted by colored noise, the UFBLMS algorithm is superior to that of the spectral subtraction method by about 3 to 5 dB in FWSNRSEG. Also, it yields better performance by about 2 dB in FWSNR and FWSNRSEG than that of time-domain least-mean-square (TLMS) adaptive prediction filter(APF). In view of the computational complexity and performance improvement in speech quality and intelligibility, the frequency-weighted UFBLMS algorithm appears to yield the best performance among various algorithms in enhancing noisy speech corrupted by white or colored noise.