• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.04a
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• pp.65-66
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• 2003

Korean ginseng (Panax ginseng C. A. Meyer) is an representative medicinal herb. It is classified as an adaptogen, helping the body to adapt to stress, improving stamina and concentration, and providing a normalizing and restorative effect. However, cultivation and breeding of the plant is very difficult because it requires at least 4-year cultivation from seed germination to root harvest.(중략)

• Medical Lasers
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• v.10 no.4
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• pp.195-200
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• 2021

Evidence shows that nerve injury triggers mitochondrial dysfunction during axonal degeneration. Mitochondria play a pivotal role in axonal regeneration. Therefore, normalizing mitochondrial energy metabolism may represent an elective therapeutic strategy contributing to nerve recovery after damage. Photobiomodulation (PBM) induces a photobiological effect by stimulating mitochondrial activity. An increasing body of evidence demonstrates that PBM improves ATP generation and modulates many of the secondary mediators [reactive oxygen species (ROS), nitric oxide (NO), cyclic adenosine monophosphate (cAMP), and calcium ions (Ca²⁺)], which in turn activate multiple pathways involved in axonal regeneration.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.11
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• pp.116-123
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• 1994

A novel opto-digital pattern recognition method which has shift, rotation, and scale invariant properties is proposed for recognizing two dimensional images having straight lines. The algorithm is composed of three stages. In the first stage the line features of the image are extracted. The second stage imposes the shift, rotation, and scale invariant properties on the extracted features through normalizing procedure. The required normalizing equations are analytically explained. In the last stage, the artificial feedforward neural network is trained with the extracted features. In order to evaluated the proposed algorithm, nine different edge enhnaced binary images composed of straight lines are tested. Thus the proposed algorithm can recognize the patterns event though they are shifted, rotated, and scaled.

• Journal of Korea Foundry Society
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• v.30 no.2
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• pp.66-75
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• 2010

The effects of alloying elements on the mechanical properties of normalized and quenched 3.60wt%C-2.60wt%C ductile cast iron poured into shell stack mold were investigated. The strength and hardness of as-cast specimen were increased and the elongation of it was decreased with the additions of Mn, Cu and Sn. The strength and hardness were increased with the addition of 0.40wt%Mo and then rather decreased with the increased addition of 0.80wt%. The strength and hardness were increased with normalizing treatment and the strengths of normalized specimens were increased slightly with the addition of alloying elements except Mo. Meanwhile the yield strength of the normalized specimen was increased slightly with the addition of Mo, the tensile strength was not changed much. Meanwhile the hardness and strength of the quenched specimen were slightly increased with the addition of Mn, those were almost not changed with the amount added. The tensile strength of the quenched specimen with larger diameter, when the Cu had been added, and the tensile and yield strengths of them, when Mo had been added, were increased with the addition of alloying element. On the other hand, those were not changed with the amount added. For the case of specimen with smaller diameter, there were no effects of these two elements. When Sn had been added, the strength of hardened specimen with larger diameter was slightly increased with the amount added. However, that with smaller diameter was rather decreased with it. The effect of specimen diameter on the strength of quenched specimen with the addition of Cu, Mo and Sn was reduced.

• Proceedings of the KWS Conference
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• 2009.11a
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• pp.58-58
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• 2009

선박의 선체부분인 선수, 선미 등을 이루고 있는 곡형 외판의 제작은 강판을 원하는 형상으로 성형하기 위하여 벤딩롤러 및 유압프레스를 이용한 냉간가공과 산소-프로판가스 화염을 적용한 선상가열, 삼각가열을 이용한 열간가공으로 크게 구분할 수 있다. 선상가열을 이용한 곡면가공의 원리는 가열토치를 이용하여 강판을 가열하면 가열부는 팽창하게 되고 냉각시에는 수축하게 된다. 이 때 두께방향으로의 소성변형으로 인한 수축량의 차이로 인해 굽혀지게 된다. 최근에는 선박이 고기능 및 대형화로 인해 3차원 곡형 외판 형상이 복잡해지고, 강도를 향상시키기 위하여 합금원소(C, Nb, V, Ti)를 첨가하거나 열처리(노말라이징)를 이용한 고장력강재인 중후판의 적용이 증가하고 있다. 이러한 고강도강재를 선상가열공정으로 제작한 곡형 외판재는 가열, 냉각의 열사이클로 인해 취화되어 인성이 저하 될 수 있다. 본 연구에서는 Normalizing 열처리재인 490MPa급 강재를 이용하여, 현장에서 작업자의 미숙련으로 인해 발생 할 수 있는 최대의 가혹한 조건과 재질에 큰 영향을 미치지 않는 범위를 선정하여 선상가열시의 가열, 냉각조건에 따른 강재의 재질특성을 조사하고자 한다. 이를 위해 가열시 가열부위의 정확한 온도 측정에 역점을 두었으며, 각각 다른 선상가열 조건에 따른 시편을 제작하기 위하여 선상가열 실험장치를 제작하였다. 선상가열 실험 결과 최고가열온도 $1300^{\circ}C,\;950^{\circ}C$에서 수냉 조건인 경우 급격한 인성저하 현상이 발생하며 비록 공냉이라 하더라도 결정립 조대화로 인성 저하가 발생하였다. $800^{\circ}C$가열 후 수냉개시온도를 $700^{\circ}C$이하로 수냉한 경우에는 인성 저하 현상이 개선되고 있음을 알 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.37-43
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• 2021

Using the acoustic features of speech, important social and linguistic information about the speaker can be obtained, and one of the key features is the dialect. A speaker's use of a dialect is a major barrier to interaction with a computer. Dialects can be distinguished at various levels such as phonemes, syllables, words, phrases, and sentences, but it is difficult to distinguish dialects by identifying them one by one. Therefore, in this paper, we propose a lightweight Korean dialect classification model using only MFCC among the features of speech data. We study the optimal method to utilize MFCC features through Korean conversational voice data, and compare the classification performance of five Korean dialects in Gyeonggi/Seoul, Gangwon, Chungcheong, Jeolla, and Gyeongsang in eight machine learning and deep learning classification models. The performance of most classification models was improved by normalizing the MFCC, and the accuracy was improved by 1.07% and F1-score by 2.04% compared to the best performance of the classification model before normalizing the MFCC.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1516-1529
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• 2023

In this paper, a motor gearbox fault-detection system based on a hierarchical flow-based model is proposed. The proposed system is used for the anomaly detection of a motion sound-based actuator module. The proposed flow-based model, which is a generative model, learns by directly modeling a data distribution function. As the objective function is the maximum likelihood value of the input data, the training is stable and simple to use for anomaly detection. The operation sound of a car's side-view mirror motor is converted into a Mel-spectrogram image, consisting of a folding signal and an unfolding signal, and used as training data in this experiment. The proposed system is composed of an encoder and a decoder. The data extracted from the layer of the pretrained feature extractor are used as the decoder input data in the encoder. This information is used in the decoder by performing an interlayer cross-scale convolution operation. The experimental results indicate that the context information of various dimensions extracted from the interlayer hierarchical data improves the defect detection accuracy. This paper is notable because it uses acoustic data and a normalizing flow model to detect outliers based on the features of experimental data.

• Archives of Pharmacal Research
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• v.11 no.3
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• pp.218-224
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• 1988

The preparation of Clostridium butyricum is used as a normalizing agent for human intestinal flora. When the microbe is simultaneously used with rifampicin, it is inactivated by the antibiotic. To develop rifampicin-resistant mutants, rifampicin-sensitive strain Miyairi II 588 of C. butyricum was treated with nitrosoguanidine (NTG). To ensure stable resistance to rifampicin, we examined whether the resistance was plasmid-mediated or chromosome-mediated. It was found that the resistance of four mutant strains was not mediated by its inherent plasmid, but by the chromosomal mutation. These strains were examined for the susceptibility and resistance to other antituberculosis agents and antibiotics. The results showed that these mutants were resistant to the high concentration of the antituberculosis agents.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2009.10a
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• pp.414-419
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• 2009

Good control of thermal energy helps to increase characteristics and eliminate defects of large cast-forged part, such as large sized forged shell. Thermal energy control is a important factor. We have studied about forging process and after heat treatment process by FEM simulation. There are three ways of process. Changes of temperature and microstructure for forged shell were predicted according to temperature declination in large cast-forged product. So we will be able to choose the proper time from heat treatment conditions by FEM simulation.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.977-985
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• 2020

Aiming at the problem of complex feature extraction and low accuracy in human action recognition, this paper proposed a network structure combining batch normalization algorithm with GoogLeNet network model. Applying Batch Normalization idea in the field of image classification to action recognition field, it improved the algorithm by normalizing the network input training sample by mini-batch. For convolutional network, RGB image was the spatial input, and stacked optical flows was the temporal input. Then, it fused the spatio-temporal networks to get the final action recognition result. It trained and evaluated the architecture on the standard video actions benchmarks of UCF101 and HMDB51, which achieved the accuracy of 93.42% and 67.82%. The results show that the improved convolutional neural network has a significant improvement in improving the recognition rate and has obvious advantages in action recognition.