• Title/Summary/Keyword: HoG

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Effect of Diallyl Disulfide on Heme Oxygenase-1 Expression in Human Hepatoma Cell Line HepG2 (인간 간암세포주 HepG2에서 heme oxygenase-1 발현에 대한 diallyl disulfide의 효과)

  • Kim, Kang-Mi;Lee, Sang-Kwon;Park, Young-Chul
    • Journal of Life Science
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    • v.21 no.7
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    • pp.1046-1051
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    • 2011
  • Diallyl disulfide (DADS), the most prevalent oil-soluble organosulfur compound in garlic, is known to have diverse biological activities, including anticarcinogenic, antiatherosclerotic, antiinflammatory, and antioxidant actions. In this study, we investigated the effect of DADS on the expression of heme oxygenase-1 (HO-1) in human liver hepatoma cell line HepG2. Treatment of HepG2 cells by DADS evoked a dose-dependent growth inhibition without significant toxicity to the cells, and also induced the expression of transcription factor Nrf2. However, DADS did not have any enhancing effect on transcription and translation of HO-1 expression in HepG2 cells. In addition, DADS efficiently blocked protein synthesis of HO-1 in HepG2 cells stimulated by CoPP or hemin. But, DADS did not decrease the content of transcripts of HO-1 gene stimulated by CoPP, with accumulation of Nrf2 and small Maf in the nucleus. Based on these results, we conclude that DADS inhibits HO-1 expression by modulation of translational level of CoPP or hemin-induced HO-1 expression in HepG2 cells.

Extraction of the License Plate Region Using HoG and AdaBoost (HoG와 AdaBoost를 이용한 번호판 영역 추출)

  • Lew, Sheen;Yi, Cui-Sheng;Lee, Wan-Joo;Lee, Byeong-Rae;Min, Kyoung-Won;Kang, Hyun-Chul
    • Journal of Digital Contents Society
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    • v.10 no.4
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    • pp.597-604
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    • 2009
  • For the improvement of license plate recognition system, correct extraction of a license plate region as well as character recognition is important. In this paper, with the analysis and classification of the error patterns in the process of plate region extraction, we tried to improve the extraction of the region using HoG(histogram of gradient) features and Adaboost. The results show that the HoG feature is robust to the noise and various types of the plates, and also is very effective to extract the region failed before.

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Comparison of the physicochemical components of Lentinula edodes cultivars cultivated in sawdust medium (톱밥배지에서 재배된 표고버섯 품종별 이화학적 성분 비교)

  • Choi, Ji Yeon;Kim, Min-Sun
    • Journal of Mushroom
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    • v.19 no.3
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    • pp.184-190
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    • 2021
  • With the development of sawdust medium cultivation technology, Lentinula edodes (shiitake mushroom) has become the most extensively produced and consumed mushroom globally. In this study, the approximate composition, nutritional components, and bioactive compounds of L. edodes were analyzed and compared for the five sawdust-cultivated shiitake mushrooms cultivars namely Sanjo701ho, Sanjo707ho, Sanjo715ho, Chamaram, and L808. The approximate range of the composition of freeze-dried shiitake mushrooms was 4.06-5.92 g/100 g of ash, 0.75-1.02 g/100 g of crude fat, and 21.24-29.15 g/100 g of crude protein. Sanjo701ho had the highest trehalose content (9.60±0.08 g/100 g), total polyphenol content (3.49±0.04 mg GAE/g), and total flavonoid content (1.33±0.03 mg QE/g) among the other shiitake mushroom cultivars. The total amino acid content was as follows: glutamic acid>aspartic acid>leucine. Glycine, alanine, valine, isoleucine, leucine, and phenylalanine contents were significantly decreased in the following sequence: Sanjo707ho, Sanjo715ho, Sanjo701ho, Chamaram, and L808. Crude protein, trehalose, and six types of amino acids were identified as classification indicators for the five cultivars of sawdust-cultivated shiitake mushrooms.

Middle Ear Disease Automatic Decision Scheme using HoG Descriptor (HoG 기술자를 이용한 중이염 자동 판별 방법)

  • Jung, Na-ra;Song, Jae-wook;Choi, Ho-Hyoung;Kang, Hyun-soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.621-629
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    • 2016
  • This paper presents a decision method of middle ear disease which is developed in children and adults. In the proposed method, features are extracted from the middle ear disease images and normal images using HoG (histogram of oriented gradient) descriptor and the extracted features are learned by SVM (support vector machine) classifier. To obtain an input vector into SVM, an input image is resized to a predefined size and then the resized image is partitioned into 16 blocks each of which is partitioned into 4 sub-blocks (namely cell). Finally, the feature vector with 576 components is given by using HoG with 9 bins and it is used as SVM learning and classification. Input images are classified by SVM classifier based on the model of learning features. Experimental results show that the proposed method yields the precision of over 90% in decision.

Effect of NADPH Oxidase Inhibition on Heme Oxygenase-1 Expression in Human Hepatoma Cell Line HepG2 (인간 간암세포주 HepG2에서 NADPH oxidase 활성 억제에 의한 heme oxygenase-1 발현의 조절)

  • Lee, Sang-Kwon;Kim, Kang-Mi;Park, Kwang-Hoon;Park, Young-Chul
    • Journal of Life Science
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    • v.21 no.11
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    • pp.1625-1630
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    • 2011
  • Heme oxygenase-1 (HO-1) is a stress-responsive protein that is known to regulate cellular functions such as cell proliferation, inflammation, and apoptosis. In this study, we investigated the role of NADPH oxidase on the expression of HO-1 in human liver hepatoma cell line HepG2. Diphenyleneiodonium (DPI), an NADPH oxidase inhibitor, markedly inhibited HO-1 expression and the nuclear translocation of transcription factor Nrf2 in cobalt protoporphyrin (CoPP) or hemin-treated HepG2 cells. Similarly, the knockdown of $p47^{phox}$, a cytosolic factor for NADPH oxidase activity, by siRNA inhibited the CoPP-induced expression of HO-1. In addition, GSHmee, an intracellular antioxidant, blocked the expression of HO-1 in CoPP-treated cells. Based on these results, we conclude that the blockage of NADPH oxidase with DPI or $p47^{phox}$ siRNA inhibits CoPP-induced HO-1 expression in HepG2 cells, and also suggest that the expression of HO-1 in CoPP-induced HepG2 cells is associated with increase of intracellular ROS by NADPH oxidase activity.

A property of surface groups

  • Moon, Myoung-Ho
    • Communications of the Korean Mathematical Society
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    • v.11 no.3
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    • pp.825-829
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    • 1996
  • We prove that if G is the fundamental group of a closed surface or a Seifert fibered space and K is a finitely generated subgroup of G, and if for any element g in G there exists an integer $n_g$ such that $g^{n_g}$ belongs to K, then K is of finite index in G.

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Method for Road Vanishing Point Detection Using DNN and Hog Feature (DNN과 HoG Feature를 이용한 도로 소실점 검출 방법)

  • Yoon, Dae-Eun;Choi, Hyung-Il
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.125-131
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    • 2019
  • A vanishing point is a point on an image to which parallel lines projected from a real space gather. A vanishing point in a road space provides important spatial information. It is possible to improve the position of an extracted lane or generate a depth map image using a vanishing point in the road space. In this paper, we propose a method of detecting vanishing points on images taken from a vehicle's point of view using Deep Neural Network (DNN) and Histogram of Oriented Gradient (HoG). The proposed algorithm is divided into a HoG feature extraction step, in which the edge direction is extracted by dividing an image into blocks, a DNN learning step, and a test step. In the learning stage, learning is performed using 2,300 road images taken from a vehicle's point of views. In the test phase, the efficiency of the proposed algorithm using the Normalized Euclidean Distance (NormDist) method is measured.

Pedestrian Traffic Counting Using HoG Feature-Based Person Detection and Multi-Level Match Tracking (HoG 특징 기반 사람 탐지와 멀티레벨 매칭 추적을 이용한 보행자 통행량 측정 알고리즘)

  • Kang, Sung-Wook;Jung, Jin-dong;Seo, Hong-il;Lee, Hae-Yeoun
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.8
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    • pp.385-392
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    • 2016
  • Market analysis for a business plain is required for the success in the modern world. Most important part in this analysis is pedestrian traffic counting. A traditional way for this is counting it in person. However, it causes high labor costs and mistakes. This paper proposes an automatic algorithm to measure the pedestrian traffic count using images with webcam. The proposed algorithm is composed of two parts: pedestrian area detection and movement tracking. In pedestrian area detection, moving blobs are extracted and pedestrian areas are detected using HoG features and Adaboost algorithm. In movement tracking, multi-level matching and false positive removal are applied to track pedestrian areas and count the pedestrian traffic. Multi-level matching is composed of 3 steps: (1) the similarity calculation between HoG area, (2) the similarity calculation of the estimated position with Kalman filtering, and (3) the similarity calculation of moving blobs in the pedestrian area detection. False positive removal is to remove invalid pedestrian area. To analyze the performance of the proposed algorithm, a comparison is performed with the previous human area detection and tracking algorithm. The proposed algorithm achieves 83.6% accuracy in the pedestrian traffic counting, which is better than the previous algorithm over 11%.