• Smart Structures and Systems
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• 제22권2호
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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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• 제7권4호
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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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• 제11권7호
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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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• 제1권1호
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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.

• 동의생리병리학회지
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• 제31권3호
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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.

• 수산해양기술연구
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• 제26권3호
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• pp.237-243
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• 1990

본 연구는 수조실험을 통하여 주꾸미, Octopus Ocellatus GRAY의 단지색에 대한 선택성을 조사하고, 전통적인 주꾸미 단지의 재질을 고둥껍질에서 PVC로 대체할 경우 그 가능성을 규명하기 위하여 PVC 시험 단지를 제작하여 1989년부터 1990년까지 해상실험을 실시하여 어획율을 조사하였다. 실험에서 얻은 결과를 요약하면 다음과 같다. 1. 수중실험에서 적색, 녹색, 황색, 백색, 회색중에서 주꾸미가 선호하는 색은 회색, 적색, 녹색, 황색, 백색순으로 나타났다. 2. 해상실험에서 주꾸미의 선호색은 회색, 홍색, 녹색순으로 나타났고, 이것은 수조실험의 결과와 일치한다. 3. 어획성능면에서 고둥껍질과 회색 PVC 단지의 차이는 거의 없었다. 4. 직경별 어획율은 40mm PVC 단지가 1.00, 50mm가 0.19로 나타났다.

• 한국인터넷방송통신학회논문지
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• 제16권1호
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• pp.33-42
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• 2016

최근 SNS나 포털을 중심으로 다양한 분야 대해 대중들의 의견이 표현될 수 있는 환경이 확대되고 있고, 이로 인해 오피니언 문서들은 빠르게 대량화 되고 있다. 이러한 환경에서 대용량의 오피니언 문서들의 내용을 파악하기 위해서는 자동 요약 기술의 적용이 필수적이다. 하지만 오피니언 문서 내에는 대상 객체가 갖는 특성들과 주관적 표현들이 내재되어 있어 일반적인 요약 기법으로는 효율적인 요약이 불가능하다. 본 논문에서는 대용량의 오피니언 문서를 대상으로 주요 문장들을 추출하여 요약하는 기법을 제안한다. 제안된 기법에서는 사전에 정의된 오피니언 문서의 특성들에 대해서, 특성들에 대한 오피니언이 표현된 대표적인 문장들이 추출되도록 설계되었다. 또한 실험을 통하여 제안된 방법의 유용성을 증명하였다.

• 콘크리트학회논문집
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• 제20권6호
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• pp.681-687
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• 2008

이 연구는 적외선 열화상을 이용하여 철근의 부식을 정량적으로 파악하는 기법을 개발하는 것이다. 연구 진행 과정에서 전기적 가열방법이 실험 데이터에 지대한 영향을 끼치는 것을 발견했다. 가열접촉 방법에 대한 여러 실험적 연구를 통하여 실험 데이터의 신뢰성 확보와 효율적인 연구를 추구하였다. 사각어스클램프를 이용하여 철근을 가열하였을 때 철근의 온도변화를 통해 집게어스클램프보다 표면저항이 적다는 것을 입증하였다. 또한 접촉 방법의 표준화를 위해 토크렌치를 활용한 실험을 진행하였다.

• 제어로봇시스템학회논문지
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• 제21권1호
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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.

• 제어로봇시스템학회논문지
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• 제13권8호
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• pp.743-748
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• 2007

Recently, various types of camera mouse are developed using the image processing. The camera mouse showed limited performance compared to the traditional optical mouse in terms of the response time and the usability. These problems are caused by the mismatch between the size of the monitor and that of the active pixel area of the CMOS Image Sensor. To overcome these limitations, we designed a new input device that uses the face recognition as well as the speech recognition simultaneously. In the proposed system, the area of the monitor is partitioned into 'n' zones. The face recognition is performed using the web-camera, so that the mouse pointer follows the movement of the face of the user in a particular zone. The user can switch the zone by speaking the name of the zone. The multimodal mouse is analyzed using the Keystroke Level Model and the initial experiments was performed to evaluate the feasibility and the performance of the proposed system.