• 대한수의학회지
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• 제12권2호
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• pp.165-175
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• 1972

The frequency distribution and morphological characteristics of tissue mast cells in the various tissues of normal domestic animals (bovine, swine, dog and chicken) and systematically infected (Hog cholera, Canine distemper and Newcastle disease) animals were studied. The results were as follows: 1 In cattle, density of mast cells was higher in foetus (bovine) and young animals than in adults Differences in frequency distribution among individual animals were also observed. 2. In chicken, the highest number of mast cells was found in age group of 15 to 40 days, the moderate number in age group of one to 10 days, and the lowest number in age group of 40 days or older. 3. The morphologically, mast cells were usually round, ovoid, spindle, oval and irregular, and particularly in ovary of bovine, it was usually round and ovoid forms. 4. The largest numbers of mast cells were shown in ovary of bovine, intestine of swine and dog, and proventriculum of chicken. 5. In the systemic infections, the number of mart cells usually tends to increase.

• Asian-Australasian Journal of Animal Sciences
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• 제24권11호
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• pp.1629-1636
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• 2011

Global pork markets are becoming more competitive, riding the wind of the bilateral free trade agreement. China is the world's largest pork producer with nearly 50% of the world's total production. China's fast growing economy has provided its people with higher purchasing power, resulting in a rapid expansion of the Chinese swine industry over the past decades. Worldwide, China consumes the greatest amount of pork and it is believed that this trend will continue. Japan is the world's largest pork importing country, even though it also produces a lot of pork. The Japanese swine industry encounters weighty obstacles in production costs and environmental limitations which result in reduced domestic supply and creates the situation in which Japan has to import a significant amount of pork for their consumption. South Korea is also a large buyer of pork, with a status greatly influenced by the struggle that the country has faced with Foot and Mouth Disease (FMD) which occurred in 2000, 2002 and 2010. High production costs, low production efficiency, and forced culling following the FMD outbreak resulted in the loss of many hog farming households in the country, reducing supply of domestic pork in the face of continued demand. Overall, pork production in these economically important countries can greatly impact the industry globally. The goal of this review paper is to describe pork production in China, Japan, and South Korea and discuss these countries' role in global pork export markets.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3762-3781
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• 2020

Infrared pedestrian target recognition is a vital problem of significant interest in computer vision. In this work, a novel infrared pedestrian target recognition method that uses heterogeneous features with multi-kernel transfer learning is proposed. Firstly, to exploit the characteristics of infrared pedestrian targets fully, a novel multi-scale monogenic filtering-based completed local binary pattern descriptor, referred to as MSMF-CLBP, is designed to extract the texture information, and then an improved histogram of oriented gradient-fisher vector descriptor, referred to as HOG-FV, is proposed to extract the shape information. Second, to enrich the semantic content of feature expression, these two heterogeneous features are integrated to get more complete representation for infrared pedestrian targets. Third, to overcome the defects, such as poor generalization, scarcity of tagged infrared samples, distributional and semantic deviations between the training and testing samples, of the state-of-the-art classifiers, an effective multi-kernel transfer learning classifier called MK-TrAdaBoost is designed. Experimental results show that the proposed method outperforms many state-of-the-art recognition approaches for infrared pedestrian targets.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3712-3729
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• 2020

Smoke detection is helpful for early fire detection. With its large coverage area and low cost, vision-based smoke detection technology is the main research direction of outdoor smoke detection. We propose a two-stage smoke detection method combined with block Deep Normalization and Convolutional Neural Network (DNCNN) and visual change image. In the first stage, each suspected smoke region is detected from each frame of the images by using block DNCNN. According to the physical characteristics of smoke diffusion, a concept of visual change image is put forward in this paper, which is constructed by the video motion change state of the suspected smoke regions, and can describe the physical diffusion characteristics of smoke in the time and space domains. In the second stage, the Support Vector Machine (SVM) classifier is used to classify the Histogram of Oriented Gradients (HOG) features of visual change images of the suspected smoke regions, in this way to reduce the false alarm caused by the smoke-like objects such as cloud and fog. Simulation experiments are carried out on two public datasets of smoke. Results show that the accuracy and recall rate of smoke detection are high, and the false alarm rate is much lower than that of other comparison methods.

• 대한임베디드공학회논문지
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• 제9권6호
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• pp.345-351
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• 2014

This paper presents pedestrian recognition to improve performance for vehicle safety system or surveillance system. Pedestrian detection method using HOG (Histograms of Oriented Gradients) has showed 90% recognition rate. But if someone takes a picture in the rain, the image may be distorted by rain streaks and recognition rate goes down by 62%. To solve this problem, we applied image decomposition method using MCA (Morphological Component Analysis). In this case, rain removal method improves recognition rate from 62% to 70%. However, it is difficult to apply conventional image decomposition method using MCA on vehicle safety system or surveillance system as conventional method is too slow for real-time system. To alleviate this issue, we propose a rain removal method by using low-pass filter and DCT (Discrete Cosine Transform). The DCT helps separate the image into rain components. The image is removed rain components by Butterworth filtering. Experimental results show that our method achieved 90% of recognition rate. In addition, the proposed method had accelerated processing time to 17.8ms which is acceptable for real-time system.

• Journal of Microbiology and Biotechnology
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• 제5권3호
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• pp.154-157
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• 1995

MRK-22, an inhibitor of aminopeptidase M was isolated from the culture broth of Streptomyces sp. SL20209. The structure of MRK-22 was defined to be 3-amino-2-hydroxy-5-methylhexanoyl-valyl-valine, des-$Asp^4$-amastatin, by spectroscopic analysis and this was also confirmed by solid phase synthesis of the inhibitor. The molecular formula and weight of MRK-22 were $C_17H_33N_3O_5$ and MW 359($M^+$), respectively, and its $IC_50$ value against hog kidney AP-M was 0.79 $\mu$ g/ml.

• 대한약침학회지
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• 제10권3호
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• pp.63-69
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• 2007

Objectives We performed this study in order to investigate the effects of Sedang-Hwan(世糖丸) and modified Sedang-Hwan(世糖丸變方)on the diabetes mellitus. Methods We injected a vein with 65mg/kg of streptozotocin(STZ) on the rats. And then administered Sedang-Hwan(Sample 1 group); 18.7mg/kg/day, modified Sedang-Hwan; 16.5mg/kg/day(Sample 2 group) to Sample groups and observed the body weight, glucose and insulin levels. Results 1. The Sample 1, 2 groups showed a high suppressive effect of body weight loss compared to Control group. 2. The Sample 1, 2 groups’ glucose level showed a effective in lowering level compared to Control group. 3. The sample 1, 2 groups showed a higher insulin level than Control group. Conclusions Conclusively, modified Sedang-hwan was recognized to have decrease effect of serum glucose of the diabetic rats induced by streptozotocin. It is also required to study on the further detailed mechanism of decrease effect of serum glucose by modified Sedang-hwan.

• Journal of Plant Biotechnology
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• 제4권4호
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• pp.155-161
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• 2002

The HCV gene was expressed in potato plants under the control of the constitutive CaMV 355 promoter or tuber-specific patatin promoter. Solanum tuberosum plants carrying a plant expression vector harboring the encoding region of HCV gene were generated by Agrobacterium tumefaciens-mediated in vitro transformation methods. The presence of HCV gene in the plant genome was detected by PCR and DNA hybridization experiments. We obtained the 5 lines of transgenic potato with the pMBPHCV construct and 4 lines of transgenic potato with the pATHCV construct. The HCV transgenic stably integrated into the potato genome, as well as their transcription. HCV mRNA was identified in leaf and tuber tissues of transgenic plants by Northern blot analysis. The transgenic potato plants produced the expected transcript, and the corresponding HCV protein accumulated in individual transgenic plants.

• 한국멀티미디어학회논문지
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• 제19권12호
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• pp.1927-1935
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• 2016

This paper propose a framework for human body parts in RGB-D image. We conduct tasks of obtaining person area, finding candidate areas and local detection in order to detect hand, foot and head which have features of long accumulative geodesic distance. A person area is obtained with background subtraction and noise removal by using depth image which is robust to illumination change. Finding candidate areas performs construction of graph model which allows us to measure accumulative geodesic distance for the candidates. Instead of raw depth map, our approach constructs graph model with segmented regions by quadtree structure to improve searching time for the candidates. Local detection uses HOG based SVM for each parts, and head is detected for the first time. To minimize false detections for hand and foot parts, the candidates are classified with upper or lower body using the head position and properties of geodesic distance. Then, detect hand and foot with the local detectors. We evaluate our algorithm with datasets collected Kinect v2 sensor, and our approach shows good performance for head, hand and foot detection.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2004년도 춘계학술대회 논문집
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• pp.65-69
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• 2004

The need for developing sustainable solutions for managing the animal waste is vital for the future of the animal industry in North Carolina. As part of that process, the North Carolina Attorney General has concluded that the public interest will be served by the development and implementation of environmentally superior swine waste management technologies appropriate to each category of hog farms. To facilitate in the development, testing, and evaluation of potential technologies it is necessary that all aspects of environmental issues (air, water, soil, odor and odorants, and disease-transmitting vectors and airborne pathogens) be addressed as Part of a comprehensive strategy, Program OPEN (Odor, Pathogens, and Emissions of Nitrogen) Is comprehensively addressing these issues.