• Journal of Veterinary Clinics
• /
• v.24 no.2
• /
• pp.260-263
• /
• 2007

A 9-month-old, intact female mixed dog was referred to Veterinary Medical Teaching Hospital of Gyeongsang National University with symmetrically enlarged and protruded upper jaw. The patient was diagnosed as acute renal failure due to ethylene glycol poisoning and was treated for 1 month in a local animal hospital. In spite of treatment, the patient proceeded to chronic renal failure. Also, the patient's upper jaw begun to enlarge continuously. To evaluate this upper jaw, radiographic examination was performed. Skull radiographs revealed thickening of maxilla, decreased bone opacity, cortical thinning, loss of lamina dura and periodontal space in the maxilla. Diagnosis of rubber jaw syndrome is based on clinicial signs, radiographic findings and laboratory evidence of chronic renal failure due to ethylene glycol poisoning.

• Journal of Nutrition and Health
• /
• v.37 no.3
• /
• pp.202-209
• /
• 2004

A case-control study was conducted in order to examine dietary behavioral factors associated with colorectal cancer risks. Data were collected from 128 cases with either colorectal cancer or large bowl adenomatous polyps and 129 controls regarding stages of dietary behavioral change, perceived barrier, self efficacy, nutrition knowledge, social support and food availability as well as body mass index and overall dietary quality. Cases showed less desirable behaviors with respect to fat reduction and vegetable intake compared with controls based on the analyses of the stages of dietary change. After adjustment of relevant covariates (age, gender and smoking), significant trends of increasing risk with higher level emerged for perceived barriers resulted from environmental conditions (OR = 1.6 - 2.0) and self-efficacy (OR = 2.2-2.3). No such relationships were found for nutrition knowledge and social support. The risk of colorectal cancer was associated with the kinds of foods available at home showing a borderline protective relation with milk (OR = 0.6) and respective significant and borderline direct associations for fresh meat (OR = 2.1) and soft drinks (OR = 0.6 when reversely scored). Within-group analyses presented best predictors of overall dietary quality as food availability for the case and self-efficacy and social support for the control. The findings of this study suggested a need for focusing on motivational and reinforcing factors in the development of nutrition education programs for colorectal cancer prevention.

• Korean Journal of Metals and Materials
• /
• v.49 no.11
• /
• pp.860-867
• /
• 2011

This study was performed to investigate the effects of the driving force for reduction and the surfactant (polyacrylic acid) on the size of Ag particles. As the driving force for reduction increases, the size of particles decreases due to a decrease of initial nuclei-size. Also, an increase of pH increases the amount of ionized surfactant, which leads to a decrease of particle size due to the prevention of particle growth. Both the driving force and the surfactant may affect the particle size, but the surfactant appeared to be a more dominant factor than reduction potential in terms of controlling the particle size. An increase of surfactant in the range of pH=3-4 decreases the size of Ag particles, although the reduction potential also decreases.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.47 no.2
• /
• pp.161-168
• /
• 2019

This paper proposes a variable data transfer asymmetric TDD(Time Division Duplex) system for small UAV(Unmanned Aerial Vehicle) data link system. In the proposed method, a turbo decoder with a double buffer controller is proposed to apply turbo decoder with long decoding time to asymmetric TDD system. The proposed method achieves variable data transfer rate and maximum data transfer rate. The advantage of the proposed method is demonstrated by its data transfer rate. The measured data transfer rate is more than 1.8 times than that of symmetric TDD system. In addition, PER(Packet Error Rate) performance is the same and data transfer rate is variable.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.655-658
• /
• 2021

The purpose of multimodal medical image fusion (MMIF) is to integrate images of different modes with different details into a result image with rich information, which is convenient for doctors to accurately diagnose and treat the diseased tissues of patients. Encouraged by this purpose, this paper proposes a novel method based on a two-scale decomposer and detail preservation model. The first step is to use the two-scale decomposer to decompose the source image into the energy layers and structure layers, which have the characteristic of detail preservation. And then, structure tensor operator and max-abs are combined to fuse the structure layers. The detail preservation model is proposed for the fusion of the energy layers, which greatly improves the image performance. The fused image is achieved by summing up the two fused sub-images obtained by the above fusion rules. Experiments demonstrate that the proposed method has superior performance compared with the state-of-the-art fusion methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.217-219
• /
• 2021

With the development of ICT, the amount of data increases, and the technology of storing and processing becomes important. In this study, we study real-time file copy leakage prevention system to prevent leakage of important data in enterprises, public places, etc. As a research method, we propose a system that detects events in real time to prevent data leakage after analyzing data leakage cases and problems. The file leakage prevention system compares and analyzes with the existing EDLP system, and the proposed system reduces load and detects events. Future research requires research on the prevention of leaks through networks and various channels.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.481-483
• /
• 2022

With the advent of the era of artificial intelligence, more and more fields have begun to use artificial intelligence technology, especially the medical field. Cancer is one of the biggest problems in the medical field. [1] If it can be detected early and treated early, the possibility of cure will be greatly increased. Malignant skin cancer, as one of the types of cancer with the highest fatality rate in recent years has problems such as relying on the experience of doctors and being unable to be detected and detected in time. Therefore, if artificial intelligence technology can be used to help doctors in early detection of skin cancer, or to allow everyone to detect skin lesions or spots anytime, anywhere, it will have great practical significance. In this paper we used attention residual learning convolutional neural network (ARL-CNN) model [2] to classify skin cancer pictures.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.656-658
• /
• 2022

The purpose of infrared and visible image fusion is to integrate images of different modes with different details into a result image with rich information, which is convenient for high-level computer vision task. Considering many deep networks only work in a single scale, this paper proposes a novel image fusion based on three-scale dense network to preserve the content and key target features from the input images in the fused image. It comprises an encoder, a three-scale block, a fused strategy and a decoder, which can capture incredibly rich background details and prominent target details. The encoder is used to extract three-scale dense features from the source images for the initial image fusion. Then, a fusion strategy called l₁-norm to fuse features of different scales. Finally, the fused image is reconstructed by decoding network. Compared with the existing methods, the proposed method can achieve state-of-the-art fusion performance in subjective observation.

• Journal of the Semiconductor & Display Technology
• /
• v.23 no.2
• /
• pp.129-134
• /
• 2024

This study aims to talk about the necessity of solving the PFC gas emission problem raised by the recent development of the semiconductor industry and the remote plasma source method monitoring system used in the semiconductor industry. The 'monitoring system' means that the researchers applied machine learning to the existing monitoring technology and modeled it. In the process of this study, Residual Gas Analyzer monitoring technology and linear regression model were used. Through this model, the researchers identified emissions of at least 12700mg CO2 to 75800mg CO2 with values ranging from ion current 0.6A to 1.7A, and expect that the 'monitoring system' will contribute to the effective calculation of greenhouse gas emissions in the semiconductor industry in the future.

• Journal of Veterinary Clinics
• /
• v.24 no.4
• /
• pp.568-572
• /
• 2007

This study was carried out to show at the fractal analysis complements the practical disadvantage of gray level histogram which is designed to measure the quantitative classification of echo patterns in ultrasonographic image of parenchymal organs such as spleen and kidney and it is a practical method of measurement for quantitative classification. By using ultrasonographs, kidney and spleen of 21 healthy Beagles were fixed under different gain settings to be scanned for echo patterns and results were analyzed with body gray level histogram and fractal analysis. Then it was compared based on the statistical data obtained. Although there was a proportionate increase in histogram along with gain settings, there were consistencies in the fractal dimension. In terms of quantitative analysis in ultrasonographic images, fractal analysis is concluded to complement the practical disadvantage of gray level histogram.