• 한국염색가공학회지
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• 제12권4호
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• pp.239-247
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• 2000

The coloring matter was extracted from the heartwood of Amur cork tree by distilled water. Change of UV-Visible spectra of coloring matter solution by extraction condition and stability for irradiation were determined, and the effect of repeated dyeing with condition of dyebath and mordanting method on shade depth and lightfastness were also investigated. The results are as follows : 1) Absorbance of Amur cork tree extract increased with the lapse of extraction time. λmax of color solution extracted from Amur cork tree was found at 420, 333, and 262nm. 2) Absorbance of Amur cork tree extract decreased remarkably after 2hr irradiation. 3) The K/S of silk fabrics increased with the increase of dyeing temperature, time, amounts of Amur cork tree for extraction, and pH of color solution. 4) K/S of silk fabrics dyed by repeated dyeing method was affected by pH and concentration of color solution. 5) Lightfastness of silk twice dyed with Amur cork tree extract after pre-mordanted by 8%(o.w.f) chromium acetate was moderately improved.

• 한국펄프종이공학회:학술대회논문집
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• 한국펄프종이공학회 2008년도 추계학술발표논문집
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• pp.266-272
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• 2008

• 펄프종이기술
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• 제44권6호
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• pp.36-42
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• 2012

The empty fruit bunch fibers(EFB) of oil palm were examined for optimal utilization of the EFB fibers. The EFB fibers were obtained by shredding EFB, followe by removal of fines. The surface properties of the fibers were modified with various pre-treatments, such as hot water extraction, the soaking treatments with NaOH, $ClO_2$ and n-hexane. The changes in the fiber surface were examined with FT-IR method, which showed the changes in chemical compositions such as pectin, lignin, and etc. according to the pre-treatment methods. And the z-directional tensile testing of the fiber mold made of the treated EFB fibers showed the changes in the bonding strength by the pre-treatments. The fiber mold made of EFB fibers treated with $ClO_2$ showed the greater increase in the tensile energy absorption although the NaOH treatment resulted in the severer impact on the EFB fibers.

• 한국멀티미디어학회논문지
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• 제21권3호
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• pp.391-399
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• 2018

In this paper, we construct and compare various guitar chord classification systems using perceptron neural network and convolutional neural network without pre-processing other than Fourier transform to identify the optimal chord classification system. Conventional guitar chord classification schemes use, for better feature extraction, computationally demanding pre-processing techniques such as stochastic analysis employing a hidden markov model or an acoustic data filtering and hence are burdensome for real-time chord classifications. For this reason, we construct various perceptron neural networks and convolutional neural networks that use only Fourier tranform for data pre-processing and compare them with dataset obtained by playing an electric guitar. According to our comparison, convolutional neural networks provide optimal performance considering both chord classification acurracy and fast processing time. In particular, convolutional neural networks exhibit robust performance even when only small fraction of low frequency components of the data are used.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권1호
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• pp.21-26
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• 2016

Canine cataract is developed with aging and can cause the blindness or surgical treatment if not treated timely. The first observation must be made by pet owners but they do not have proper equipment and knowledge to see the abnormalities. In this paper, we propose an intelligent image processing method to extract canine cataract suspicious object from non-professional equipment such as ordinary digital camera and cellular phone photographs so that even casual owners of pet dog can make a pre-diagnosis of such a surgery-needed disease as soon as possible. The experiment shows that the proposed method is successful in most cases except the dog has similar colored hair to the color of cataract.

• Natural Product Sciences
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• 제24권4호
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• pp.293-297
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• 2018

Sasa quelpaertensis Nakai leaves contain a mixture of polysaccharides, amino acids, and polyphenols, which mediate various biological activities. For efficient utilization of its leaf, we reported the preparation procedure for phytochemical-rich extract (PRE) using the leaf residue, which was by-product of hot water extraction. This study was undertaken to evaluate the effects of PRE and its major constituent, p-coumaric acid,on the growth of several human cancer cell lines (MKN-74, MKN-45, SNU-1, SNU-16, and HL-60). The ethyl acetate fraction of PRE and p-coumaric acid significantly inhibited the proliferation of MKN-74 and HL-60 cells, respectively, and induced cell apoptosis, down-regulated Bcl-2 and poly (ADP-ribose) polymerase levels, and up-regulated those of Bax and caspase-3. These results show the potential utility of S. quelpaertensis Nakai leaves in cancer prevention.

• 전자공학회논문지SC
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• 제45권6호
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• pp.55-59
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• 2008

야외 환경에서 무인차량의 자율주행에 있어서 효과적인 기동제어를 위해서는 장애물 탐지나 지형의 기하학적인 형상 정보외에 탐지된 장애물 및 지형 표면에 대한 재질 유형의 인식 및 분류 또한 중요한 요소이다. 영상 기반의 지표면 분류 알고리듬은 입력 영상에 대한 전처리, 특징추출, 분류 및 후처리의 절차로 수행된다. 본 논문에서는 컬러 CCD 카메라로부터 획득된 야외 지형영상에 대해 색상 및 질감 정보를 이용한 지형분류 기법을 제시한다. 전처리 단계에서 색공간 변환을 수행하고, 색상과 질감 정보를 이용하기 위해 웨이블릿 변환 특징을 사용하였으며, 분류기로서는 SVM(support vector machine)을 적용하였다. 야외 환경에서 획득된 실영상에 대한 실험을 통하여 제시된 알고리듬의 분류 성능을 평가하였으며, 제시된 알고리듬에 의한 효과적인 야지 지형분류의 가능성을 확인하였다.

• 한국자동차공학회논문집
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• 제21권4호
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• pp.33-42
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• 2013

This paper describes a multiple vehicle tracking algorithm using an integrated probabilistic data association filter (IPDAF) in urban environments. The algorithm consists of two parts; a pre-processing stage and an IPDA tracker. In the pre-processing stage, measurements are generated by a feature extraction method that manipulates raw data into predefined geometric features of vehicles as lines and boxes. After that, the measurements are divided into two different objects, dynamic and static objects, by using information of ego-vehicle motion. The IPDA tracker estimates not only states of tracks but also existence probability recursively. The existence probability greatly assists reliable initiation and termination of track in cluttered environment. The algorithm was validated by using experimental data which is collected in urban environment by using single laser scanner.

• Journal of Multimedia Information System
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• 제6권2호
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• pp.49-60
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• 2019

Plants are very crucial for life on Earth. There is a wide variety of plant species available, and the number is increasing every year. Species knowledge is a necessity of various groups of society like foresters, farmers, environmentalists, educators for different work areas. This makes species identification an interdisciplinary interest. This, however, requires expert knowledge and becomes a tedious and challenging task for the non-experts who have very little or no knowledge of the typical botanical terms. However, the advancements in the fields of machine learning and computer vision can help make this task comparatively easier. There is still not a system so developed that can identify all the plant species, but some efforts have been made. In this study, we also have made such an attempt. Plant identification usually involves four steps, i.e. image acquisition, pre-processing, feature extraction, and classification. In this study, images from Swedish leaf dataset have been used, which contains 1,125 images of 15 different species. This is followed by pre-processing using Gaussian filtering mechanism and then texture and color features have been extracted. Finally, classification has been done using Multiclass-support vector machine, which achieved accuracy of nearly 93.26%, which we aim to enhance further.

• 한국과학교육학회지
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• 제28권3호
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• pp.187-196
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• 2008

In this study, a survey was conducted of students in grades 7 through 12, student teachers enrolled in their senior year at teachers' colleges, and science teachers. Subjects were surveyed on their conceptions of phenomenon related with dissolution, saturation, and extraction. The models and analogies used by student teachers and science teachers to explain dissolution were sought. The highest percentage of students thought of dissolution as a phenomenon in which particles broke into the spaces between other particles. The models or analogies used by the highest percentage of science teachers were similar. They generally conceived of dissolution phenomenon through what we call the 'space conception'. A conception of dissolution phenomenon as 'hydration through attraction of solvent and solute' was held by more student teachers than science teachers; there were some differences, however, according to their academic background. The percentage of teachers professing this view decreased when they attempted to explain the process of extraction of matter in a solution after other matter had dissolved or after the solution was cooled, indicating that the 'hydration' conception was not firmly established in the student teachers' cognition. Therefore, it can be inferred that the conceptions of dissolution as 'hydration' were transformed into the conceptions of dissolution as 'space' after teaching dissolution phenomenon as practicing teachers. This finding should be considered in teacher-training courses.