• Transactions of Materials Processing
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• v.14 no.8 s.80
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• pp.655-660
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• 2005

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2009.03a
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• pp.233-234
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• 2009

• Proceedings of the Materials Research Society of Korea Conference
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• 2002.11a
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• pp.134-134
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• 2002

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.24 no.3
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• pp.17-26
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• 2011

Objectives : Corydalis tuber has been used for promoting blood circulation and for relieving pain in Oriental medicine. In the present study, we focused on the antimicrobial activity of Corydalis tuber and compared its antimicrobial activity with the processed Corydalis tuber. Methods : Processing of Corydalis tuber was accomplished by immersing in 5% of acetic acid for 12 h and then by roasting at $250^{\circ}C$ for indicated time periods(0-30 min). Minimum inhibitory concentration(MIC) and the zone of growth inhibition were determined against Propionibacterium acnes(P. acnes). Results : The methanolic extracts of Corydalis tuber showed potent antimicrobial effect(MIC 62.5 ${\mu}g/ml$). Its alkaloidal component, dehydrocorydaline, also exhibited antibacterial activity(MIC 25.0 ${\mu}g/ml$). After processing of Corydalis tuber, its inhibitory effect on the growth of P. acnes was significantly enhanced compared with that of unprocessed Corydalis tuber. Furthermore, elevated content of dehydrocorydaline was found in the processed than the unprocessed Corydalis tuber. However, the different roasting minutes effected on antimicrobial activity. The best roasting time of Corydalis tuber was 10 min, while roasting for the time above 15 min resulted in diminishing antimicrobial activity. Thus, it was concluded that the standardized processing condition of Corydalis tuber should be established to obtain enhanced antimicrobial(P. acnes) activity. Conclusion : For antimicrobial effect against P. acnes, the best processing condition of Corydalis tuber is immersing in 5% of acetic acid for 12 h and by roasting at $250^{\circ}C$ for 10 min.

• Korean Journal of Materials Research
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• v.9 no.9
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• pp.865-871
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• 1999

Effect of sintering condition in mechanical properties of ZrSiO\ulcorner shell molds was investigated. Number of microcrack in primary layer of the mold was maximized after preheating at $1000^{\circ}C$ for 1.5 hours. Yield strength and specific surface area of the mold were inversely proportion to sintering temperature and time. After hot deformation test at $1500^{\circ}C$ for 4 hours, molds were deformed opposite to the loading direction and backup layers were cracked along the interface between stucco and zircon slurry. Reverse deformation of the molds during hot deformation test was considered to be resulted from the difference of thermal expansion coefficient between alumina stucco and zircon slurry in primary coat, and size difference between zircon stucco and zircon slurry in backup coat.

• Smart Structures and Systems
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• v.22 no.2
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• pp.231-237
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• 2018

A significant data problem is encountered with condition monitoring because the sensors need to measure vibration data at a continuous and sometimes high sampling rate. In this study, compressive sensing approaches for condition monitoring are proposed to demonstrate their efficiency in handling a large amount of data and to improve the damage detection capability of the current condition monitoring process. Compressive sensing is a novel sensing/sampling paradigm that takes much fewer data than traditional data sampling methods. This sensing paradigm is applied to condition monitoring with an improved machine learning algorithm in this study. For the experiments, a built-in rotating system was used, and all data were compressively sampled to obtain compressed data. The optimal signal features were then selected without the signal reconstruction process. For damage classification, we used the Variance Considered Machine, utilizing only the compressed data. The experimental results show that the proposed compressive sensing method could effectively improve the data processing speed and the accuracy of condition monitoring of rotating systems.

• Smart Structures and Systems
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• v.13 no.6
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• pp.901-925
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• 2014

The reliability of a Bridge management System depends on the quality of visual inspection and the reliable estimation of bridge condition rating. However, the current practices of visual inspection have been identified with several limitations, such as: they are time-consuming, provide incomplete information, and their reliance on inspectors' experience. To overcome such limitations, this paper presents an approach of automating the prediction of condition rating for bridges based on digital image analysis. The proposed methodology encompasses image acquisition, development of 3D visualization model, image processing, and condition rating model. Under this method, scaling defect in concrete bridge components is considered as a candidate defect and the guidelines in the Ontario Structure Inspection Manual (OSIM) have been adopted for developing and testing the proposed method. The automated algorithms for scaling depth prediction and mapping of condition ratings are based on training of back propagation neural networks. The result of developed models showed better prediction capability of condition rating over the existing methods such as, Naïve Bayes Classifiers and Bagged Decision Tree.

• Science of Emotion and Sensibility
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• v.6 no.3
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• pp.21-28
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• 2003

This study investigated the differences in processing type of working memory between experts and novices when they read music scores. Two experiments were conducted with the articulatory suppression condition. In Experiment 1, eight half notes were shown on the screen for a brief period of time, participants were then requested to write the notes on a music sheet. the stimuli were divided into two: melodious and unmelodious. In similar fashion, Experiment 2 consisted of four-chord sequences, which contained three notes each. The stimuli were also divided into two: harmonious and disharmonious. As an analysis of the results in Experiment 1 & 2, novices commonly showed better performances in the non-articulatory suppression condition than the articulatory suppression condition with both stimuli types. However, experts were relatively affected little by the articulatory suppression with harmonious stimuli. These findings support that while novices entirely depend on the articulatory loop, experts may encode the notes through the visuo-spatial sketchpad before they transfer the information to the phonological store when they are familiar with material.

• Transactions of Materials Processing
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• v.11 no.2
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• pp.132-137
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• 2002

Using the Taguchi method, optimum process condition of lead frame blanking has been determined in the point of view of shape of blanked profile. As the main process parameters, clearance, strip holding pressure and bridge width are selected. According to the orthogonal array table, three levels of experiment have been carried out for each factor. The optimal blanking condition is analyzed with the SN ratio. It has been verified that the optimal Process condition can be determined with a combination of basic blanking experiment and experiment design method. Both the effect of each factor and gain can be judged in the quantitative manner from the analysis of SN ratio.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2003.05a
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• pp.70-73
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• 2003

Semi-solid processing is now becoming of great interest for the production of various parts by pressure die casting. Many advantages are associated with this forming process at the condition that the forming operation is performed under appropriate conditions in terms of alloy microstructure, injection velocity and pressure. In this study, to look into the relation along them, the experiment of semi-solid die casting has been peformed with various condition of injection, and investigated their microstrucure and solid fraction