• Journal of Korean Society of Rural Planning
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• v.24 no.2
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• pp.59-67
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• 2018

As high-rise buildings came in, the landscape of rural areas and natural landscapes often got damaged. Therefore, this study aims to prevent this, grasp the extent of the influence of the surrounding landscape, to grasp the range of height that can be permitted and present the direction of landscape management of agriculture and natural landscape. This study tried to grasp the range of height by using price sensitivity analysis method for two apartment and apartment complex which entered DangJin city and SeoSan city. First, in the case of a two apartment, the range of the height allowable section was from the 6th floor to the 11th floor in close range view, and it was a section from the 7th floor to the 12th floor in medium range view. In the case of the apartment complex, the range of the height allowable range was from the 10th floor to the 17th floor in close range view, the 9th floor to the 16th floor in medium range view. The stress index was found to be positive in a two apartment in close range view, and in the apartment complex case. therefore it was better to set it to a lower in the Range of Acceptable Height(RAH). Second, it showed no difference in the sensitivity of landscape to gender. Thirdly, the results of the landscape sensitivity analysis of major and non-major showed the difference in the medium range view picture of the apartment complex. Majors are lower than the point of minimum height(PMinH) than non-Majors. In the case of major, the stress index was 1.4. it turned out that it was better to make a decision closer to point of minimum height (PMinH). In the case of non-major, the stress index was -1.3. it was also able to accept decision close to the point of maximum height (PMaxH). Since the results of the above research gave changes only in the variable of the height of the landscape, we can not grasp the point of interaction with other variables, and future research is considered necessary.

• Journal of Biosystems Engineering
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• v.28 no.4
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• pp.343-350
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• 2003

This study was conducted to find out the coefficient relationships between intensity values of image processing and biological/physical parameters of soil in greenhouses. Soil images were obtained by an image processing system consisting of a personal computer and a CCD earners. A software written in Visual C$\^$++/ systematically integrated the functions of image capture, image processing, and image analysis. Image processing data of the soil samples were analyzed by the method of regression analysis. The results are as follows. For detecting soil density of unbroken soil samples, the highest correlation coefficients of 0.82 and 0.84, respectively were obtained fur R-value and S-value among image processing data while it was 0.97 for G-value. Considering the relationship between biological characteristics and image processing data of soil in greenhouse, the correlation was found generally low. For pH of unbroken soil sample, the correlation coefficients were found 0.87, 0.85, and 0.94, respectively with G, I, and H values of image processing data. In the case of bacteria, any correlation was not found with the image processing data For Actinomyctes, they were 0.86 and 0.85, respectively with G-value and B-value of image processing data showing high correlation coefficient compared to the other variables. The correlation coefficient between Fungi and H-value was shown 0.88, the highest among the variables higher than 0.8 while the other variables showed low correlation. For broken soil samples from greenhouse, the relation between biological parameter and image processing data were rarely shown in this study. The results of this study indicated that most of correlation coefficient between the variables were usually lower than 0.01. Accordingly, it was assumed that the soil should be used without broken to fairly estimate biological characteristics using CCD camera.

• The Korean Journal of Pain
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• v.29 no.2
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• pp.96-102
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• 2016

Background: It is widely accepted that cervical interlaminar steroid injection (CIESI) is more effective in treating radicular pain than axial neck pain, but without direct comparison. And the differences of effect after CIESI according to MRI findings are inconsistent. In this retrospective study, we evaluated the therapeutic response of CIESI according to pain sites, durations, MRI findings, and other predictive factors altogether, unlike previous studies, which evaluated them separately. Methods: The medical records of 128 patients who received fluoroscopy guided CIESI were analyzed. We evaluated the therapeutic response (more than a 50% reduction on the visual analog scale [VAS] by their second visit) after CIESI by (1) pain site; neck pain without radicular pain/radicular pain with or without neck pain, (2) pain duration; acute/chronic (more than 6 month), and (3) findings of MRI; herniated intervertebral disc (HIVD)/spinal stenosis, respectively and altogether. Results: Eighty-eight patients (68%) responded to CIESI, and there were no significant differences in demographic data, initial VAS score, or laboratory findings. And there were no significant differences in the response rate relating to pain site, pain duration, or MRI findings, respectively. In additional analysis, acute radicular pain with HIVD patients showed significantly better response than chronic neck pain with spinal stenosis (P = 0.04). Conclusions: We cannot find any sole predictive factor of therapeutic response to the CIESI. But the patients having acute radicular pain with HIVD showed the best response, and those having other chronic neck pain showed the worst response to CIESI.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.21 no.4
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• pp.65-73
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• 2018

Although the road construction in forest is increasing and there is a need for development ecological restoration on deforest area, no consideration has been given to individual trees in there. This study analyzed aerial photographs of deforest area before and after road construction for determining the degree of forest destruction by extracting individual trees. Study area was selected in the sites where are damaged by road construction in GongJu-si, YuSung-gu, and YeongDong-gun. The aerial photograph taken 1979 before construction is panchromatic image of 80cm in GSD (Ground Sample Distance) and other photograph taken 2016 after construction is multi-spectral image of 10cm in GSD. In order to minimize the difference of GSD, we conducted image re-sampling process for setting to same GSD for the two photographs. After that we carried out visual interpretation method for determining to change of individual tree. The result found that for GongJu-si of the number of individual tree was 1,014 in 1979 and 886 in 2016, which decreased by 128 (12.6%) and the average width of those decreased from 5.77m to 5.75m by 0.47%. In case of YoungDong-gun, the number of it was 761 in 1979 and 746 in 2016, which decreased by 2.0% and the average width of it decreased from 8.99mm to 8.90m by 1.1%. Lastly in case of YuSung-gu, the number of it was 1,578 in 1979 and 988 in 2016, which decreased by 37.4% and the average width of it decreased from 7.09m to 6.65m by 6.21%. these result imply that road construction causes destruction of forests. Since there are limitations such as errors due to researcher, it is necessary to construct a quantitative analysis method for the change of the deforest area. It is need to study the method of extracting individual tree in deforest area more accurately using high-resolution image of GSD 10cm or more as well. This study can be used as a basic data for the ecological restoration of the deforest area considering characteristics of individual tree such as height, diameter at breast height, and biomass.

• Journal of KIISE:Software and Applications
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• v.35 no.2
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• pp.118-127
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• 2008

In this paper, we propose a method for construction of robust 3D statistical shape model in the mandible CT datasets. Our method consists of following four steps. First, we decompose a 3D input shape Into patches. Second, to generate a corresponding shape of a floating shape, all shapes in the training set are parameterized onto a disk similar to the patch topology. Third, we generate the corresponding shape by one-to-one mapping between the reference and the floating shapes. We solve the problem failed to generate the corresponding points near the patch boundary Finally, the corresponding shapes are aligned with the reference shape. Then statistical shape model is generated by principle component analysis. To evaluate the accuracy of our 3D statistical shape model of the mandible, we perform visual inspection and similarity measure using average distance difference between the floating and the corresponding shapes. In addition, we measure the compactness of statistical shape model using the modes of variation. Experimental results show that our 3D statistical shape model generated by the mandible CT datasets with various characteristics has a high similarity between the floating and corresponding shapes and is represented by the small number of modes.

• Journal of Korean society of Dental Hygiene
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• v.15 no.1
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• pp.55-62
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• 2015

Objectives: The purpose of this study was to investigate the associated factors of self-reported dry mouth in adults. Methods: A self-reported questionnaire was filled out by 249 adults in Seoul and Gyeonggi-do from June to October, 2014. The questionnaire consisted of general characteristics of the subjects, age, monthly income, smoking, alcohol drinking, and systemic diseases including systemic diseases, medication, oral health status, and stress. The question for dry mouth consisted of dryness in skin, eyes, lips, and nasal mucosa. The subjective dry mouth consisted of 6 questions measured by visual analogue scale(VAS). Cronbach's alpha was 0.881 in the study. Oral health related quality of life (OHIP-14) was adapted from Yoon. The questionnaire for OHIP-14 included functional limitation, physical pain, psychological disability, social disability, and experience in hadicap measured by Likert 5 scale. Cronbach's alpha was 0.885 in the study. Data was analyzed for a t-test, one-way ANOVA and multiple regression analysis by using SPSS(SPSS 18.0, USA) program. Results: There were positive correlations between oral health-related quality of life and self-reported dry mouth (functional limitation r=0.288, physical pain r=0.219, psychological discomfort r=0.193, physical disability r=0.280, psychological disability r=0.205, social disability r=0.224 and handicap r=0.270). In the multiple regression analysis, variation of self-reported dry mouth were positively associated with dry eyes{very often(${\beta}=0.305$)), sometimes(${\beta}=0.186$)}, dryness on lips{very often(${\beta}=0.247$), sometimes(${\beta}=0.177$)}, handicap(${\beta}=0.152$), physical disability(${\beta}=0.128$) and alcohol drinking(1-2 times/week)(${\beta}=0.116$) (p<0.001). Conclusions: Self-reported dry mouth may cause deterioration of the entire body dryness(dryness on eyes and lips), low oral health-related quality of life(handicap and physical disability) and alcohol drinking. Thus, It is necessary to develop oral health education programs to prevent and manage dry mouth in adults.

• Journal of Animal Environmental Science
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• v.7 no.3
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• pp.177-182
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• 2001

This study was conducted to find out the coefficient relationships between intensity values image processing and pollution density of slurries. Slurry images were obtained from the image processing system using personnel computer and CCD-camera. Software, written in Visual $c^{++}$, combined the functions of the image capture, image processing and image analysis. The data of image processing for slurries were analyzed by the method of regression analysis. The results are as follows. 1. Red(R)-values among image processing data were obtained the highest correlation coefficient 0.9213 for detecting COD. Also, green(G)-value were obtained the highest correlation coefficient 0.9019 fur detecting BOD. Blue(B)-value could not find significant values to detect the pollution resources density. 2. Hue(H)-values among image processing data were obtained the highest correlation coefficient 0.9466 for detecting BOD. This fact could be used in detecting BOD 3. Green(G)-value, GRAY-value, Hue(H)-value, Saturation(5)-value and Intensity(I)-value were the correlation coefficient more than 0.8 for BOD. Hue(H)-value was higher correlation coefficient than any other value. It was possible to detect pollution density of slurries by using the image processing system. 4. Red(R)-value, GRAY-value and Saturation(5)-value were obtained the correlation coefficient more than 0.8 for detecting COD. a-value had the highest correlation coefficient Among these values. It was possible to detect density indirectly by using the image processing system. 5. SS-density were obtained the correlation coefficient less than 0.8 by using the image processing system. The density of $NH_4$-N and $NO_3$-N were obtained correlation coefficient less than 0.2.

• Journal of Life Science
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• v.27 no.11
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• pp.1290-1298
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• 2017

Intestinal microbiota is an important factor in the development of immune defense mechanisms in the human body. Treatments with anticancer agents, such as 5-Fluorouracil, Cisplatin, and Oxaliplatin, significantly change the temporal stability and environment of intestinal bacterial flora. The anticancer treatment chemotherapy often depresses the immune system and induces side effects, such as diarrhea. This study investigated the effects anticancer agents have on the intestinal microbial ecosystems of patients with gastric cancer. An exploration of the diversity and temporal stability of the dominant bacteria was undertaken using a DGGE with the 16S rDNA gene. Researchers collected stool samples from patients zero, two and eight weeks after the patients started chemotherapy. After the treatment with anticancer agents, the bacteria strains Sphingomonas paucimobilis, Lactobacillus gasseri, Parabacteroides distasonis and Enterobacter sp. increased. This study focused on the survival of the beneficial microorganisms Bifidobacterium and Lactobacillus in the intestines of cancer patients. The administration of antigastric cancer agents significantly decreased Lactobacillus and Bifidobacterium populations and only moderately affected the main bacterial groups in the patients' intestinal ecosystems. The results showed the versatility of a cultivation independent-PCR DGGE analysis regarding the visual monitoring of ecological diversity and anticancer agent-induced changes in patients' complex intestinal microbial ecosystems.

• Smart Media Journal
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• v.9 no.2
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• pp.16-21
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• 2020

Recently, mobile traffic is increasing exponentially as major traffic is transferred to IoT and visual media data in the dissemination of mobile communication terminals and contents use. In order to overcome the limitations of the existing LTE system, 5G mobile communication technology (5G) is a technology that meets 1000 times data traffic capacity, 4G LTE system acceptance, low latency, high energy efficiency, and high cost compared to 4G LTE system. The path loss due to the use of the frequency domain is very high, so it may be difficult to provide a service compared to the existing 4G LTE system. To overcome these shortcomings, various techniques are under study. In this paper, small cell technology is introduced to improve the system performance of 5G mobile communication systems. The performance is analyzed by comparing the results of small cell technology application, macro communication and small cell communication, and the results of the proposed algorithm application for power control. The analysis results show that the use of small cell technology in the 5th generation mobile communication system can significantly reduce the shadow area and reduce the millimeter wave path loss problem.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.4
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• pp.87-98
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• 2011

Detecting a moving object from videos and tracking it are basic and necessary preprocessing steps in many video systems like object recognition, context aware, and intelligent visual surveillance. In this paper, we propose a method that is able to detect a moving object quickly and accurately in a condition that background and light change in a real time. Furthermore, our system detects strongly an object in a condition that the target object is covered with other objects. For effective detection, effective Eigen-space and FCM are combined and employed, and a CONDENSATION algorithm is used to trace a detected object strongly. First, training data collected from a background image are linear-transformed using Principal Component Analysis (PCA). Second, an Eigen-background is organized from selected principal components having excellent discrimination ability on an object and a background. Next, an object is detected with FCM that uses a convolution result of the Eigen-vector of previous steps and the input image. Finally, an object is tracked by using coordinates of an detected object as an input value of condensation algorithm. Images including various moving objects in a same time are collected and used as training data to realize our system that is able to be adapted to change of light and background in a fixed camera. The result of test shows that the proposed method detects an object strongly in a condition having a change of light and a background, and partial movement of an object.