• Journal of the Korean Society of Industry Convergence
• /
• v.3 no.3
• /
• pp.229-236
• /
• 2000

This paper proposes on the Hanguel character CAI system using image processing. For this, firstly, the characters written by elementary school students or foreigners arc captured by CCD camera. Secondly, Recognition is accomplished by pre-processing, thinning and recognition processes. Thirdly, strokes are separated and beauty evaluation is done by matching feature value of the input image from the similarity measure function. In particular, this paper describe to define the similarity measuring function using extracted factor values after getting the beauty evaluation factor values of the consonant in the entire CAI system. Finally, the effectiveness of the proposed system is demonstrated by experiments.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.21 no.8
• /
• pp.1874-1884
• /
• 1996

In this paper, we proposed automatic searching algorithm of thresholding value using multilevel thresholding for face segmentation from input bust image effectively. The proposed algorithm extracted the thresholding value of brightness that is formed background region, face region and hair region without illumination, background and face size from input image. The statistical projection analysis project the brightness of multilevel thresholding image into horizontal and vertical direction and decide the thresholding value of face. And the algorithm extracted elliptical type block of face from input image in order to reduce the back ground region and hair region efficiently. The proposed algorithm can reduce searching area of feature extraction and processing time for face recognication.

• Proceedings of the Korean Information Science Society Conference
• /
• 2008.06c
• /
• pp.348-353
• /
• 2008

이미지의 사용이 증가함에 따라 이미지 중 사용자가 원하는 이미지를 효율적으로 검색하기 위한 방법들이 연구되어 왔다. 본 논문에서는 질의 이미지를 분석하여 이미지 특징(feature)을 추출한 후 이미지 특징에 대한 유사도 평가를 통한 이미지 검색 및 온톨로지를 기반으로 검색된 이미지들과 유사하다고 판단된 이미지와 그러한 이미지들의 의미적 정보를 추출하는 방법을 제안한다. 제안된 시스템은 질의 이미지에서 색상, 질감, 모양 등의 특징을 추출하여 유사도 평가를 통해 검색된 이미지를 제공하고, 내용기반 이미지 검색 방식을 통해 이미지를 검색하고, 온톨로지를 이용해 이미지의 의미적 정보를 추출하여 사용자에게 이미지와 관련된 의미적 정보를 제공한다.

• Journal of Biosystems Engineering
• /
• v.19 no.4
• /
• pp.380-396
• /
• 1994

A personal computer based color machine vision system with video camera and fluorescent lighting system was used to generate images of stationary tobacco leaves. Image processing algorithms were developed to extract both the geometric and the color features of tobacco leaves. Geometric features include area, perimeter, centroid, roundness and complex ratio. Color calibration scheme was developed to convert measured pixel values to the standard color unit using both statistics and artificial neural network algorithm. Improved back propagation algorithm showed less sum of square errors than multiple linear regression. Color features provide not only quality evaluation quantities but the accurate color measurement. Those quality features would be useful in grading tobacco automatically. This system would also be useful in measuring visual features of other agricultural products.

• Journal of Pharmaceutical Investigation
• /
• v.4 no.1_2
• /
• pp.46-54
• /
• 1974

A new spectrophotemetric method was estalished for the determination of oleic acid. This method is based on the 1,2-dichloroe-thane extraction of the ion-pair formed between methylene blue and oleic acid. But the absorbance of an ion-pair in the 1,2-dichloroe-thane layer was variable with the temperature, the ion-pair was extracted back into a diluted hydrochloric acid solution. The maximum absorbance of the acid extract observed at $660m{\mu}$ and a lineal relationship was observed from the initial amount over the range of $50-800{\gamma}/ml$ of oleic acid in the aqueous phase. The composition ratio of the ion-pair formed between methylene blue and oleic acid was determined to be 2 : 1 by both the mole ratio and continuous variation methods.

• Proceedings of the Costume Culture Conference
• /
• 2005.10a
• /
• pp.48-54
• /
• 2005

In order to mass-customize clothes, it is essential to take into account individual body shape using computerized 3D body models. This paper describes the development of an interactive body model that can be altered to match individual body perimeter, postures and depth for the purpose of computerized pattern making. Construction of the body model requires the extraction of necessary points, adjustment of coordinate points, linking of points by spline curves, control of section lengths and selectability of various hip types. Front to back depth of the model is adjusted by scaling ratio. We had a great result for controlling perimeter, posture and depth of body shapes. The results support the adaptability and potential usefulness of the posture and depth adjustable body model.

• Archives of Pharmacal Research
• /
• v.23 no.5
• /
• pp.441-445
• /
• 2000

Achiral-chiral column switching HPLC assay was developed to allow the separation and quantification of the enantiomers of terbutaline in human plasma by means of fluorescence detection. Plasma samples were prepared by solid-phase extraction with sep-pak silica, followed by HPLC assay. The enantiomers of terbutaline and the internal standard were separated from the biological matrix on a silica column, and the two enantiomers were resolved and quantified on a Sumichiral OA-4900 column. The two columns were connected by a switching valve equipped with silica trap column, The trap column was used to concentrate the terbutaline in the eluent from the achiral column before back flushing onto the chiral phase. For each enantiomers, the assay was linear between 2.5-125 ng/$m\ell$ (r=0.9999) and detection limit was 1.0 ng/$m\ell$ .

• Proceedings of the IEEK Conference
• /
• 2002.07c
• /
• pp.1420-1423
• /
• 2002

The classification and recognition of two-dimensional trademark patterns independently of their position, orientation, size and scale by proposing two feature vectors has been discussed. The paper presents experimentation on two feature vectors showing size- invariance and scale-invariance respectively. Both feature vectors are equally invariant to rotation as well. The feature extraction is based on local as well as global statistics of the image. These feature vectors have appealing mathematical simplicity and are versatile. The results so far have shown the best performance of the developed system based on these unique sets of feature. The goal has been achieved by segmenting the image using connected-component (nearest neighbours) algorithm. Second part of this work considers the possibility of using back propagation neural networks (BPN) for the learning and matching tasks, by simply feeding the feature vectosr. The effectiveness of the proposed feature vectors is tested with various trademarks, not used in learning phase.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2000.07a
• /
• pp.645-650
• /
• 2000

The discrete wavelet transform is utilized as processing of neural network(NN) to identifying aging state of internal partial discharge in transformer. The discrete wavelet transform is used to produce wavelet coefficients which are used for classification. The mean values of the wavelet coefficients are input into an back-propagation neural network. The networks, after training, can decide if the test signals is aging early state or aging last state, or normal state.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.04a
• /
• pp.172-175
• /
• 2015

많은 사람들이 위치 기반 서비스를 사용하면서 위치 기반 서비스에서 사용되는 GPS 데이터는 기하급수적으로 증가하고 있다. 사용자들에게 필요한 정보를 제공하기위해서는 이러한 대량의 GPS 데이터를 처리하여 POI를 추출하고 분석하는 과정이 필요하다. 본 논문에서는 POI를 추출하고 관리 분석하기 위해 MapReduce 환경을 구축하고 DBSCAN 클러스터링 방법을 이용한다. 또한 분산 환경에서 DBSCAN 알고리즘을 수행하기 위해 K-Means를 이용한 데이터 분할 방법을 제안한다.