• The Korea Journal of Herbology
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• v.31 no.2
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• pp.63-69
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• 2016

Objectives : The aerial parts of Agrimonia pilosa Ledeb (Agrimoniae Herba; AH) has been traditionally used as a Korean medicine to treatment of abdominal pain, sore throat, headaches, bloody discharge, parasitic infections and eczema. In this study, we investigated the effect of AH ethanol extract on lipopolysaccharide (LPS)-induced inflammation in RAW264.7 macrophage cells.Methods : AH was extracted by 30% ethanol (AH-E). Raw264.7 cells were treated with AH-E extract at different concentrations for 30 min and then stimulated with LPS (1㎍/㎖) or without for indicated times. Cell viability was measured by MTT assay, and nitric oxide (NO) production was measured by Griess assay. The expression of inflammatory mediators, iNOS and COX-2 and inflammatory cytokines, TNF-α, IL-1β, and IL-6 was detected by RT-PCR, and the phosphorylation of ERK1/2, p38 and JNK MAP kinases (MAPKs) was analyzed by Western blot. Also, the expression of NF-κB in nuclear and cytosol was detected by Western blot.Results : AH-E extract significantly decreased LPS-induced NO production in RAW264.7 cells. AH-E extract inhibited the mRNA expression of iNOS, COX-2, TNF-α, IL-1β, and IL-6 in LPS-stimulated cells with a dose-dependent manner. In addition, the phosphorylation of ERK, p38 and JNK MAPKs was also inhibited by AH-E extract. AP-E extract inhibited the nuclear translocation of NF-κB in LPS-stimulated cells.Conclusions : Our results suggest that AH-E extract has an anti-inflammatory activity in macrophages-mediated inflammation.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.177-186
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• 2023

Hyperspectral imaging technology is one of the most efficient and fast-growing technologies in recent years. Hyperspectral image (HSI) comprises contiguous spectral bands for every pixel that is used to detect the object with significant accuracy and details. HSI contains high dimensionality of spectral information which is not easy to classify every pixel. To confront the problem, we propose a novel RGB channel Assimilation for classification methods. The color features are extracted by using chromaticity computation. Additionally, this work discusses the classification of hyperspectral image based on Domain Transform Interpolated Convolution Filter (DTICF) and 3D-CNN with Bi-directional-Long Short Term Memory (Bi-LSTM). There are three steps for the proposed techniques: First, HSI data is converted to RGB images with spatial features. Before using the DTICF, the RGB images of HSI and patch of the input image from raw HSI are integrated. Afterward, the pair features of spectral and spatial are excerpted using DTICF from integrated HSI. Those obtained spatial and spectral features are finally given into the designed 3D-CNN with Bi-LSTM framework. In the second step, the excerpted color features are classified by 2D-CNN. The probabilistic classification map of 3D-CNN-Bi-LSTM, and 2D-CNN are fused. In the last step, additionally, Markov Random Field (MRF) is utilized for improving the fused probabilistic classification map efficiently. Based on the experimental results, two different hyperspectral images prove that novel RGB channel assimilation of DTICF-3D-CNN-Bi-LSTM approach is more important and provides good classification results compared to other classification approaches.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.15 no.2
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• pp.207-213
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• 1997

The purpose of this study is to aim at presenting efficient technique of 3-D Terrain Modelling through multilateral approach methods and to compare with raw data, using low-densed randomly located point data. The subject religion of this study are selected two sites and take into consideration for degree of freedom about low-densed randomly located point data. The result of this study by precision analysis of digital cartographic map-ping using low-densed randomly located point data bave shown that . First, making digital cartographic map, the technique of making it using low-desned randomly located point data by TIN-based results to good and fast run-time in A and B sites all together. Second, the visualization analysis results of digital cartographic map using TIN and GRID-based terrain modeling techniqus similar exacts A and B sites, but the terrain modeling techniqus by TIN-based are small data size than GRID-based with the data with the data size of saving with DXF files. Third, making digital catographic map using terrain modeling techniques by Grid-based, the standard errors of low-densed randomly located point data and interpolated data using gridding method have more good results by radial basis function interpolation techniques at A and B sites all together.

• Journal of Korea Multimedia Society
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• v.19 no.12
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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.

• Journal of IKEEE
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• v.25 no.2
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• pp.337-343
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• 2021

Deep reinforcement learning is an artificial intelligence algorithm that enables learners to select optimal behavior based on raw and, high-dimensional input data. A lot of research using this is being conducted to create an optimal movement path of a mobile robot in an environment in which obstacles exist. In this paper, we selected the Dueling Double DQN (D3QN) algorithm that uses the prioritized experience replay to create the moving path of mobile robot from the image of the complex surrounding environment. The virtual environment is implemented using Webots, a robot simulator, and through simulation, it is confirmed that the mobile robot grasped the position of the obstacle in real time and avoided it to reach the destination.

• Journal of Power System Engineering
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• v.7 no.2
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• pp.29-35
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• 2003

The monitoring and diagnostics of the rotating machinery have been received considerable attention for many years. The objectives are to classify the machinery condition and to find out the cause of abnormal condition. This paper describes a classification method of diagnosing the small reciprocating compressor for refrigerators using the artificial neural network and the wavelet transform. In order to extract salient features, the wavelet transform are used from primary noise signals. Since the wavelet transform decomposes raw time-waveform signals into two respective parts in the time space and frequency domain, more and better features can be obtained easier than time-waveform analysis. In the training phase for classification, self-organizing feature map(SOFM) and learning vector quantization(LVQ) are applied, and the accuracies of them ate compared with each other. This paper is focused on the development of an advanced signal classifier to automatize the vibration signal pattern recognition. This method is verified by small reciprocating compressors, for refrigerator and normal and abnormal conditions are classified with high flexibility and reliability.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.2
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• pp.165-173
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• 2023

The data management and the evaluation of defects in the bridge are generally conducted based on inspection and diagnosis data, including the exterior damage map and defect quantity table prepared by periodic inspection. Since most of these data are written in 2D-based documents and are difficult to digitize in a standardized manner, it is challenging to utilize them beyond the defined functionality. This study proposed methods to efficiently build a BIM (Building Information Modeling)-based bridge damage model from raw data of inspection report and to manage and utilize the damage information linking to bridge model through the spread sheet data generated by COBie (Construction Operations Building Information Exchange). In addition, a method to conduct the condition assessment of defects in bridge was proposed based on an automatic evaluation process using digitized bridge member and damage information. The proposed methods were tested using superstructure of PSC-I girder concrete bridge, and the efficiency and effectiveness of the methods were verified.

• Food Science of Animal Resources
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• v.31 no.5
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• pp.731-740
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• 2011

This study was conducted to evaluate a quality comparison between Chuncheon Dakgalbi made from Korean native chickens (KNC) and that made from commercial broilers. Two Korean native chickens including Woorimatdag (KNCWoori) and Hanhyup3 (KNC-Hanhyup), and two commercial broilers including grades of 18 (Broiler-18) and 13 (Broiler-13) were slaughtered at 110, 70, 38, and 31 d of ages. Chuncheon dalkalbi was prepared by mixing/dipping the meat in chili pepper sauce; it was then packed with air-packaging (Air-P) and 30% $CO_2$-MAP (0% $O_2$/30% $CO_2$/70% $N_2$), and stored at $5^{\circ}C$ for 10 d. The results showed that the KNC group had a lower pH but a higher cooking loss compared with the broiler group (p<0.05). In a texture analysis, KNC-Woori had the highest shear force value among the breeds (p<0.05). For the fatty acid composition of the thigh, the KNC-Woori contained more total saturated acids, myristic acid, palmitic acid and stearic acid, but less total unsaturated fatty acids, linoleic acid and linolenic acid than other breeds (p<0.05). Also, the n6/n3 ratios of the KNC group (19.24 and 16.77) were higher than those of the broiler group (14.02 and 14.77) (p<0.05). The total acceptability scores of Dakgalbi made from the KNC group were decreased by sensory panelists. The Dakgalbi with 30% $CO_2$-MAP delayed the protein deterioration (Volatile basic nitrogen) and lipid oxidation during storage. However, no clear evidence was observed of $CO_2$-MAP on the effect of different chicken materials. It is suggested that 30% $CO_2$-MAP instead of Air-P is used for methods for Chuncheon Dakgalbi. Furthermore, it might be unfavorable to use Korean native chickens as raw material for Chuncheon Dakgalbi from a practical quality point of view.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.355-361
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• 2018

Mining is important as a national key industry that supplies energy and raw materials that are the basis for industrial development. On the other hand, mine development is necessarily accompanied by mineralization, for example, ground subsidence, heavy metal pollution, and water pollution. The mine hazard has a large range of damage, and it takes much time and cost to recover. In addition, there is a need for systematic mining management in order to prevent damages from occurring continuously. In this study, the present status of domestic mining industry and geospatial information construction technology for mining management were investigated. 95% of the mines surveyed were nonmetallic, and limestone mines accounted for 67%, and the constructed mine spatial information is not constructed with 3D geospatial information due to 2D current status, section, and geological map. Considering the results of the survey and analysis of 3D laser scanner and characteristics of Korean mine, handheld scanner is considered to be the most suitable method for constructing mine geospatial information. In addition, the data acquired through the 3D laser scanner can effectively visualize the object, and it can contribute to the systematic management of mining because it can be used for various purposes such as generation of drawings and calculation of volume.