• YAKHAK HOEJI
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• v.31 no.3
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• pp.173-181
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• 1987

Protein methylase I has been partially purified from hog pancreas with a 11% yeild. The final preparation is completely free of any other protein-specific methyltransferases and endogenous substrate proteins. The enzyme has an optimum pH of 7.2 and the approximate molecular weight is above 800 thousands dalton. The Km values for S-adenosyl-L-methionine and histone type II-A are 1.32$\times$10$^{-5}$M. The Ki value for S-adenosyl-L-homocysteine is 1.52$\times$10$^{-6}$M. The effect of enyzme concentration on the activity showed a slight sigmoidal curve suggesting the involvement of certain cofactors. Even though the purified enzyme showed two bands on polyacrylamide gel electrophoresis, the enzyme is highly specific for the arginine residues of protein and specifically, highly specific for histone, suggesting histonespecific protein methylase I.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.83-89
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• 2008

This paper introduces a visual object classification algorithm based on statistical information. Objects are characterized through the Histogram of Oriented Gradients (HOG) method and classification is performed using Multiclass AdaBoost. Salient features of an object's appearance are detected by HOG blocks Blocks of different sizes are tested to define the most suitable configuration. To select the most informative blocks for classification a multiclass AdaBoostSVM algorithm is applied. The proposed method has a high speed processing and classification rate. Results of the evaluation based on example of hand gesture recognition are presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.161-164
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• 2013

보행자 검출기는 보안이 필요한 곳에서 모니터링을 하거나 특정 장소를 드나드는 사람의 수를 셀 때, 운전 중 차도에 뛰어드는 사람을 감지할 때 등 상황에 따라 여러 목적으로 응용될 수 있다. 이에 따른 연구는 많이 진행되어 왔지만, 임베디드 시스템에서는 제한된 컴퓨팅 능력으로 인해 검출 속도가 느리다는 문제가 있다. 본 논문에서는 입력 영상에서 배경 부분을 빠르게 제거하여 검출 속도를 향상하는 방법과 ARM 아키텍처에서 NEON 병렬화 기법을 이용하여 검출 속도를 향상하는 방법을 제시한다. 제시한 방법으로 구현한 검출기는 기존보다 201.1% 향상된 속도를 나타냈다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.5-6
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• 2020

현대 의학에서 의료 영상은 수많은 영상처리 의료기기의 핵심이다. PACS(Picture Archiving Communication System)를 통해 관리되는 의료 영상 자료들은 요청에 따라 저장, 검색 및 전송을 수행하여 신속한 의료 서비스를 가능하게 한다. 그러나 만약에 관리자의 실수로 의료 영상 데이터가 바뀐다면 이는 사용자로 하여금 불편함과 낮은 신뢰성을 야기한다. 그리하여 본 논문에서는 서포트 벡터 머신 기반의 HOG(Histogram of Oriented Gradients) 특징 벡터를 이용하여 X-ray와 MRI(Magnetic Resonance Imaging) 사진을 분류하고 의료 영상 분류의 가능성을 제시하는 것을 목표로 한다.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.129-134
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• 2024

Object Detection is an emerging technology in the field of Computer Vision and Image Processing that deals with detecting objects of a particular class in digital images. It has considered being one of the complicated and challenging tasks in computer vision. Earlier several machine learning-based approaches like SIFT (Scale-invariant feature transform) and HOG (Histogram of oriented gradients) are widely used to classify objects in an image. These approaches use the Support vector machine for classification. The biggest challenges with these approaches are that they are computationally intensive for use in real-time applications, and these methods do not work well with massive datasets. To overcome these challenges, we implemented a Deep Learning based approach Convolutional Neural Network (CNN) in this paper. The Proposed approach provides accurate results in detecting objects in an image by the area of object highlighted in a Bounding Box along with its accuracy.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.8
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• pp.89-96
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• 2017

This Paper proposes a vehicle detection system and a license plate recognition system from CCTV images installed on public roads. Since the environment of this system acquires the image in the general road environment, the stable condition applied to the existing vehicle entry / exit system is not given, and the input image is distorted and the resolution is irregular. At the same time, the viewing angle of the input image is more wide, so that the computation load is high and the recognition accuracy of the plate is likely to be lowered. In this paper, we propose an improved method to detect and recognize a license plate without a separate input control devices. The vehicle and license plate were detected based on the HOG feature descriptor, and the characters inside the license plate were recognized using the k-NN algorithm. Experimental environment was set up for the roads more than 45m away from the CCTV, Experiments were carried out on an entry vehicle capable of visually identifying license plate and Experimental results show good results of the proposed method.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.10
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• pp.190-196
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• 2014

This paper proposes a mobile-optimized pedestrian detection method using Cascade of HOG(Histograms of Oriented Gradients) for ADAS(Advanced Driver Assistance System) on smartphones. In order to use the limited resource of mobile platforms efficiently, the method is implemented by the OpenCL(Open Computing Language) library, and its processing time is reduced in the following two aspects. Firstly, the method sets a program build option specifically and adjusts work group sizes as variety of kernels in the host code. Secondly, it utilizes local memory and a LUT(Look-Up Table) in the kernel code to accelerate the program. For performance evaluation, the developed algorithm is compared with the mobile CPU-based OpenCV(Open Computer Vision) for Android function. The experimental results show that the processing speed is 25% faster than the OpenCV hogcascade.

• Korean Journal of Veterinary Research
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• v.30 no.4
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• pp.435-440
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• 1990

Ten pigs infected with Aujeszky's disease virus (ADY) or hog cholera virus(HCV) were tested for the detection of virus antigens in frozens or paraffin-embedded sections by avidin-biotin-peroxidase complex(ABC) method. Tonsils, spleens, cerebra and buffy coats were examined for the immunohistochemical test. Where ADV antigen was detected by ABC, a dark brown deposit occurred in both the nucleus and the cytoplasm of lymphocytes and macrophages, however, HCV antigen was demonstrated in the cytoplasm of the infected cells. ADV-positive cells were most frequently detected in tonsils and cerebra, whereas, HCV -positive cells were frequently observed in spleens. And buffy coat were also good for both virus detection. The results suggested that ABC method is considered as an excellent and reliable tool for confirmative diagnosis of these viral diseases.

• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.651-657
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• 2011

Two experiments were conducted to investigate the effect of feeding hog hair protein (HHP) on the nutritional value for poultry. In experiment 1, twenty roosters of Hanhyup-3 strain were alloted, and metabolizability of HHAA was measured. In experiment 2, forty roosters of Hanhyup-3 strain were alloted to 0, 3, 7.6 and 15.1% of HHAA treatments, 10 birds per treatment, and measured feed utilization and blood parameters. In experiment 1, no trend was found in excretion of amino acid, high in glysine and glutelin, low in valine, threonine, and methionine. HHAA metabolizability of serine, phenylalanine, alanine, and isoleucine was more higher than that of lysine, cystine, asparagine, and tyrosine. In experiment 2, as the HHAA level increased, feed intake decreased significantly in 15.1% treatment, but water intake increased significantly in 15.1% traetment. Dry matter and nitrogen metabolizability decreased in 7.6 and 15.1% treatments. Although no significant difference was found among three treatments(0, 3, and 5.7%), as the HHAA level increased, dry matter and nitrogen metabolizability decreased. Serum creatinine level was significantly increased in 15.1% treatment. In conclusion, it is considered that proper level to substitute soybean meal by HHAA was 10%.

• Mycobiology
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• v.45 no.4
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• pp.362-369
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• 2017

We assessed the regulation of cryparin, a class II hydrophobin, using three representative mitogen-activated protein kinase (MAPK) pathways in Cryphonectria parasitica. Mutation of the CpSlt2 gene, an ortholog of yeast SLT2 in the cell wall integrity (CWI) pathway, resulted in a dramatic decrease in cryparin production. Similarly, a mutant of the CpBck1 gene, a MAP kinase kinase kinase gene in the CWI pathway, showed decreased cryparin production. Additionally, mutation of the cpmk1 gene, an ortholog of yeast HOG1, showed decreased cryparin production. However, mutation of the cpmk2 gene, an ortholog of yeast Kss1/Fus3, showed increased cryparin production. The easy-wet phenotype and accumulation of the cryparin transcript in corresponding mutants were consistent with the cryparin production results. In silico analysis of the promoter region of the cryparin gene revealed the presence of binding motifs related to downstream transcription factors of CWI, HOG1, and pheromone responsive pathways including MADS-box- and Ste12-binding domains. Real-time reverse transcriptase PCR analyses indicated that both CpRlm1, an ortholog of yeast RLM1 in the CWI pathway, and cpst12, an ortholog of yeast STE12 in the mating pathway, showed significantly reduced transcription levels in the mutant strains showing lower cryparin production in C. prasitica. However, the transcription of CpMcm1, an ortholog of yeast MCM1, did not correlate with that of the mutant strains showing downregulation of cryparin. These results indicate that three representative MAPK pathways played a role in regulating cryparin production. However, regulation varied depending on the MAPK pathways: the CWI and HOG1 pathways were stimulatory, whereas the pheromone-responsive MAPK was repressive.