• Fisheries and Aquatic Sciences
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• v.4 no.1
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• pp.1-9
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• 2001

This paper describes a procedure extracting feature vector of a target cell more precisely in the case of identifying specified cell. The classification of object type is based on feature vector such as area, complexity, centroid, rotation angle, effective diameter, perimeter, width and height of the object So, the feature vector plays very important role in classifying objects. Because the feature vectors is affected by noises and holes, it is necessary to remove noises contaminated in original image to get feature vector extraction exactly. In this paper, we propose the following method to do to get feature vector extraction exactly. First, by Otsu's optimal threshold selection method and morphological filters such as cleaning, filling and opening filters, we separate objects from background an get rid of isolated particles. After the labeling step by 4-adjacent neighborhood, the labeled image is filtered by the area filter. From this area-filtered image, feature vector such as area, complexity, centroid, rotation angle, effective diameter, the perimeter based on chain code and the width and height based on rotation matrix are extracted. To prove the effectiveness, the proposed method is applied for yeast Zygosaccharomyces rouxn. It is also shown that the experimental results from the proposed method is more efficient in measuring feature vectors than from only Otsu's optimal threshold detection method.

• Journal of Surface Science and Engineering
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• v.28 no.2
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• pp.83-91
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• 1995

A new method for preparation of thin nickel foam for Ni-MH battery was investigated. In this method, fine graphite powders of $1\mu\textrm{m}$～$2\mu\textrm{m}$ diameter were pasted into pores of thin polyurethane foam film in order to supply electric conducting seeds for nickel deposition by electroless plating reaction. After electroless plating, remaining polyurethane foam was removed chemically by organic solvent treatment and graphite particles also removed by ultrasonic cleaning. Porosity of formed nickel foam was about 85% During electroplating, porosity of the nickel foam decreased less than 5% up to $30\mu\textrm{m}$ coating thickness. And then it was electroplated and heat-treated to improve mechanical strength and ductility. Finally, thin nickel foam for Ni electrode of Ni-MH battery with 80% porosity and $350\mu\textrm{m}$～X$400\mu\textrm{m}$ thickness was obtained.

• Particle and aerosol research
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• v.8 no.4
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• pp.143-150
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• 2012

Fungal particles have been known to aggravate indoor air quality. To develop fungal particle cleaning devices requires a well-controlled generator of fungal aerosol particles. In this study, a novel fungal aerosol generator was designed and tested for anti-fungal experiment. Cladosporium cladosporioides was selected as test fungal particle. After aerosolization, the number concentration and the size of particles were measured by aerodynamic particle sizer. The number concentration depended on the vibration strength and vibration period of the designed fungal aerosol generator. For the vibration strength of 10volt and the period of 10 sec (5 sec on and 5 sec off), the stable particle generation with concentration of 10#/cm3 was maintained during 35 minutes.

• Proceedings of the Korea Concrete Institute Conference
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• 2004.05a
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• pp.822-825
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• 2004

Corrosion of reinforced concrete structures in marine environment is one of the most important mechanism of deterioration. The conventional repair techniques of concrete structure damaged by chloride attack consist of removing damaged concrete, cleaning rebar and patching with cement-based materials. However, recently, this method was considered to be ineffective for marine concrete structure in tidal zone. It is necessary to select proper repair method for domestic marine environment which shows broad tidal zone. This paper reports the results of repair of highway concrete bridge damaged by chloride attack in domestic marine environment.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.5
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• pp.37-43
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• 2006

The target of this study is development of web based mold discrimination system by matching vision information with CAD database. The use of 2D vision image makes possible speedy mold discrimination from many databases. The image processing such as preprocessing, cleaning is done for obtaining vivid image with object information. The web-based system is a program which runs to exchange messages between a server and a client by making of ActiveX control and the result of mold discrimination is shown on web-browser. For effective feature classification and extraction, signature method is used to make sensible information from 2D data. As a result, the possibility of proposed system is shown as matching feature information from vision image with CAD database samples.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.3
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• pp.136-148
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• 2000

In this work, a general method for the mathematical description of three-dimensional trimmed surface is proposed by introducing the base parametric surface and boundary curves. Since mesh density distribution for the analysis may vary by cases, a grid-based mesh generation algorithm using quadtree is proposed in the present work. For the assurance of connectivity of generated meshes among surfaces, a method for the pre-cleaning of boundary curves has been developed to be used in the automatic generation of the finite elements. In addition, mesh-smoothing algorithm is suggested which can be used in the general trimmed surface. In this algorithm nodes are moved on the original surface by the normal projection in each iterative smoothing procedure.

• Transactions on Electrical and Electronic Materials
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• v.1 no.1
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• pp.6-11
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• 2000

The hydrogen plasma treatment of silicon wafers in the reactive ion-etching mode was studied for the application to silicon-on-insulator wafers which were prepared using the wafer bonding technique. The chemical reactions of hydrogen plasma with surface were used for both surface activation and removal of surface contaminants. As a result of exposure of silicon wafers to the plasma, an active oxide layer was found on the surface. This layer was rendered hydrophilic. The surface roughness and morphology were examined as functions of the plasma exposing time and power. In addition, the surface became smoother with the shorter plasma exposing time and power. The value of initial surface energy estimated by the crack propagation method was 506 mJ/㎡, which was up to about three times higher as compared to the case of conventional direct using the wet RCA cleaning method.

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.3
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• pp.15-23
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• 2003

Chestnut trees have been used as a dyeing material, which are grow naturally, are cultivated all the area of Korea. So, there is abundant amount of the materials and they have better colorfastness than other natural dyeing materials. But chestnut husk extract is good at silk and wool fabrics, not cotton fabrics. That's why many methods using chestnut extraction for dyeing are being studied. But most of them depend on treatment method with chemical material which doesn't fit with the aim, using natural materials. Therefore in this research, we used protein pre-treatment method which is dyeing chestnut husk extract after treating at cotton fabrics with bean sap. And we studied the effect of dyeability of chestnut husk extract to cotton fabrics. As a result of pre-treatment of bean sap at cotton fabrics, dyeability was increased. Besides laundering fastness, dry cleaning fastness, perspiration fastness and light fastness were almost increased.

• Journal of the Korean Society for Precision Engineering
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• v.32 no.5
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• pp.463-470
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• 2015

Solar cell is typical representative of renewable green energy. Silicon wafer contributes about 66 percent to its cost structure. In its manufacturing, micro-cracks are often occurred due to manufacturing process such as wire sawing, grinding and cleaning. Their detection and classification are important to process feedback information. In this paper, a classification method of micro-cracks is proposed, based on the fusion of principal component analysis(PCA) and neural network. The proposed method shows that it gives higher results than single application of two methods, in terms of shape and size classification of micro-cracks.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.9
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• pp.893-897
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• 2008

To achieve the challenges of low-cost MEMS gyros for the precise self-localization of mobile robots, this paper examines an effective method of minimizing the drift on the heading angle that relies solely on integration of rate signals from a gyro. The main idea of the proposed approach is to use wavelet de-noising filter in order to reduce random noise which affects short-term performances. The proposed method was applied to Epson XV3500 gyro and the performances are verified by the comparisons with an existing commercial gyro module of vacuum cleaning robots.