• Food Science and Biotechnology
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• v.15 no.6
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• pp.937-941
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• 2006

Chitosan has a wide range of applications in biomedical materials as well as in dietary supplements. Chitosan oligosaccharide with free-amine group (COFa) is an improvement over traditional chitosan that lacks the usual impurities and materials detrimental to the body. Based on a previous study of water soluble chitosan (WSC, chitosan lactate), we investigated the molecular weight (Mw) - dependent absorption phenomena of COFa in vitro and in vivo with various Mws. The absorption of CO Fa was significantly influenced by its molecular weight. As Mw increases, the absorption decreases. The absorption profiles for 5 K COFa (Mw=5 kDa) were observed to be more than 10 times higher than those of high molecular weight chitosan (100 K HWSC Mw=100 kDa) in both in vitro and in vivo transport experiments. Furthermore, the in vitro transport experiment suggested that transcellular transport of the COFa (Mw <10 kDa) through Caco-2 cell layer could occur with a negligible cytotoxic effect. The COFas showed a cytotoxic effect on Caco-2 cells that was dependent on dose and Mw. COFa could be transported transcellularly through the Caco-2 cell layer.

• 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.

• Advances in Traditional Medicine
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• v.7 no.4
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• pp.418-425
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• 2007

The study was to evaluate the antihyperglycemic activity of Biophytum sensitivum (L.) DC in different extracts. Albino Wistar rats with alloxan hydrate induced diabetes were divided into 7 groups of 6 each. Both aqueous and methanolic extract of Biophytum sensitivum were prepared and given individually at different doses to different batches of rats (both normal and diabetic rats) after an overnight fast. Methanolic extract at the dose of 200 mg/kg body weight showed maximum blood glucose lowering effect in diabetic rats. The same dosages did not produce any hypoglycemic activity in normal rats. The antihyperglycemic activity of Biophytum sensitivum was compared with a standard drug Glibenclamide, an oral hypoglycemic agent. The above results suggest that maximum hypoglycemic effect was found only with a dose of up to 200 mg/kg b.w. of methanolic extract which is therefore the optimum dose for hypoglycemia and was used in all the experiments of the present study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.7
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• pp.3594-3607
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• 2017

The traditional feature extraction methods such as principal component analysis (PCA) cannot obtain the local structure of the samples, and locally linear embedding (LLE) cannot obtain the global structure of the samples. However, a common drawback of existing PCA and LLE algorithm is that they cannot deal well with the sparse problem of the samples. Therefore, by integrating the globality of PCA and the locality of LLE with a sparse constraint, we developed an improved and unsupervised difference algorithm called Sparse Difference Embedding (SDE), for dimensionality reduction of high-dimensional data in small sample size problems. Significantly differing from the existing PCA and LLE algorithms, SDE seeks to find a set of perfect projections that can not only impact the locality of intraclass and maximize the globality of interclass, but can also simultaneously use the Lasso regression to obtain a sparse transformation matrix. This characteristic makes SDE more intuitive and more powerful than PCA and LLE. At last, the proposed algorithm was estimated through experiments using the Yale and AR face image databases and the USPS handwriting digital databases. The experimental results show that SDE outperforms PCA LLE and UDP attributed to its sparse discriminating characteristics, which also indicates that the SDE is an effective method for face recognition.

• International Journal of Quality Innovation
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• v.1 no.1
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• pp.89-96
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• 2000

Evolutionary operation (EVOP) is a continuous improvement system which explores a region of process operating conditions by deliberately creating some systematic changes to the process variable levels without jeopardizing the product. It is aimed at securing a satisfactory operating condition in full-scale manufacturing processes, which is generally different from that obtained in laboratory or pilot plant experiments. Information on how to improve the process is generated from a simple experimental design. Traditional EVOP procedures are established on the assumption that the variance of the response variable should be small and stable in the region of the process operation. However, it is often the case that process noises have an influence on the stability of the process. This process instability is due to many factors such as raw materials, ambient temperature, and equipment wear. Therefore, process variables should be optimized continuously not only to meet the target value but also to keep the variance of the response variables as low as possible. We propose a scheme to achieve robust process improvement. As a process performance measure, we adopted the mean square error (MSE) of the replicate response values on a specific operating condition, and used the Kruskal-Wallis test to identify significant differences between the process operating conditions.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.3
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• pp.153-158
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• 2017

As social interest in acne treatment has grown, various external preparations have been developed and studied. So, we investigated the external prescription which can treat acne in medical classics, then reviewed and divided it by dynasty. The data for analysis of Herbal formula was taken from 'medicine Dictionary of traditional Chinese medicine prescriptions(中醫方劑大辭典)'. 31 external medicines were searched, 3 were before song(宋) dynasty, 11 were Song(宋) dynasty, 11 were Yuan(元) dynasty, 7 were Ming(明) dynasty and 7 were Qing(淸) dynasty. The recipe and usage were only making them pill(丸) and paste(膏) using grinded medicinal herbs, then rubbing to face. As the age developed, unique manufacturing process(i.e fermentation method), and usage(i.e time-based usage, herbal medicine extracts for wash) were proposed. The external application with oriental medicine for acne used with Angelicae Gahuricae Radix(n=12), Bletillae Rhizoma(n=8), Syzygii Flos, Saposhnikoviae Radix(n=7) and so on. In particular, Bletillae Rhizoma was searched with high frequency in this study, but it was not included or studied in patent composition. The results of this study will provide basic data for future experiments and clinical studies.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.26 no.3
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• pp.237-243
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• 1990

For the improvement of the traditional pots which is using purple spirals for fishing webfoot octopus, Octopus Ocellatus GRAY, some experiments are carried out on the color preference in water tank and also operated practical experiment with PVC pots at sea for the comparison on the basis of the above water tank experiment. The results obtained are as follows: 1. The colors which webfoot octopus prefer in water tank or at sea are gray, red and green in order. 2. The catching efficiency of the pots with small spout(dia. 40mm) is better than that of large spout(dia. 50mm). 3. The results of fishing efficiency between PVC pots and purple spirals are shown almost same tendency.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.33-42
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• 2016

Recently, an environment in which public opinions are expressed about various areas is expanded around SNSs or internet potals, thus, opinion documents get bigger rapidly. Under these circumstances, it is essential to utilize automatic summarization techniques for understanding whole contents of large opinion documents. However, it is hard to summarize efficiently those documents with traditional text summarization technologies since the documents include subject expressions as well as features of targets objects. Proposed method in this paper defines features of opinion documents, and designed to retrieve representative sentences expressing opinions of those features. In addition, through experiments, we prove the usefulness of proposed method.

• Journal of the Korea Concrete Institute
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• v.20 no.6
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• pp.681-687
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• 2008

This study presents a technique to quantitatively measure the corrosion level of a reinforcing bar using infrared thermography system. We found out electric heating method having an important effect on thermal data in previous study. This study purposed an efficient way for grip standardization to reduce constriction resistance problem, and providing reliable thermal data using infrared thermographic method. Using vise type earth clamp, the surface resistance of rebar was smaller than that of traditional plier type earth clamp through temperature-distribution relationship. Also this study contains experiments with toque wrench to improve heating contact problem.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.1
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• pp.65-69
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• 2015

A vision-based blank alignment unit for a press automation line is introduced in this paper. A press is a machine tool that changes the shape of a blank by applying pressure and is widely used in industries requiring mass production. In traditional press automation lines, a mechanical centering unit, which consists of guides and ball bearings, is employed to align a blank before a robot inserts it into the press. However it can only align limited sized and shaped of blanks. Moreover it cannot be applied to a process where more than two blanks are simultaneously inserted. To overcome these problems, we developed a press centering unit by means of vision sensors for press automation lines. The specification of the vision system is determined by considering information of the blank and the required accuracy. A vision application S/W with pattern recognition, camera calibration and monitoring functions is designed to successfully detect multiple blanks. Through real experiments with an industrial robot, we validated that the proposed system was able to align various sizes and shapes of blanks, and successfully detect more than two blanks which were simultaneously inserted.