• Journal of Computational Design and Engineering
• /
• v.3 no.4
• /
• pp.370-384
• /
• 2016

Computer-aided materials design requires new modeling approaches to characterize and represent fine-grained geometric structures and material compositions at multiple scales. Recently, a dual-Rep approach was developed to model materials microstructures based on a new basis function, called surfacelet. As a combination of implicit surface and wavelets, surfacelets can efficiently identify and represent planar, cylindrical, and ellipsoidal geometries in material microstructures and describe the distribution of compositions and properties. In this paper, these primitive surfacelets are extended and composite surfacelets are proposed to model more complex geometries. Composite surfacelets are constructed by Boolean operations on the primitives. The surfacelet transform is applied to match geometric features in three-dimensional images. The composition of the material near the identified features can then be modeled. A cubic surfacelet and a v-joint surfacelet are developed to demonstrate the reverse engineering process of retrieving material compositions from material images.

• Proceedings of the KSRS Conference
• /
• 2004.10a
• /
• pp.359-362
• /
• 2004

In multi-dimensional image, ICA-based feature extraction algorithm, which is proposed in this paper, is for the purpose of detecting target feature about pixel assumed as a linear mixed spectrum sphere, which is consisted of each different type of material object (target feature and background feature) in spectrum sphere of reflectance of each pixel. Landsat ETM+ satellite image is consisted of multi-dimensional data structure and, there is target feature, which is purposed to extract and various background image is mixed. In this paper, in order to eliminate background features (tidal flat, seawater and etc) around target feature (laver farm) effectively, pixel spectrum sphere of target feature is projected onto the orthogonal spectrum sphere of background feature. The rest amount of spectrum sphere of target feature in the pixel can be presumed to remove spectrum sphere of background feature. In order to make sure the excellence of feature extraction method based on ICA, which is proposed in this paper, laver farm feature extraction from Landsat ETM+ satellite image is applied. Also, In the side of feature extraction accuracy and the noise level, which is still remaining not to remove after feature extraction, we have conducted a comparing test with traditionally most popular method, maximum-likelihood. As a consequence, the proposed method from this paper can effectively eliminate background features around mixed spectrum sphere to extract target feature. So, we found that it had excellent detection efficiency.

• Journal of Conservation Science
• /
• v.23
• /
• pp.53-65
• /
• 2008

This research investigated and analyzed the structure and material feature of the wall behind the Buddha of main temple in An-dong Bongjeonsa through applying the natural scientific method, in order to closely examine its production technique. As a result of the research, the structural and material feature of the wall has been clarified and its production technique applied to the structure has been understood in a comprehensive sense. The target sample basically adopted the two-layer wall system, which showed a symmetric structure to the center made with the wooden material, and is estimated to follow the structural tendency of a general wall which is organized with the first layer, the midterm layer, and the painting wall layer. Each layer formed by the production procedure showed difference in the material and production method according to its characteristics and roles. And it was identified that, in general, the higher a layer lies, the finer grains it has. Combination of the main materials and the additives, used for the wall forming, was presumed to contribute to improving its durability and conservativeness. Also interaction between the materials generating the conservativeness and the producer's technical effect seemed to fortify solidity of the wall.

• Korean Institute of Interior Design Journal
• /
• v.15 no.6 s.59
• /
• pp.150-158
• /
• 2006

The purpose of this study is to evaluate environment-friendly planning feature in Environment-friendly Certificated apartments and to use the basic planning data of housing. Seven Environment-friendly Certificated apartments have been analyzed. The findings of this study are as follows: Environment-friendly planning features are categorized into 4 items; floor planning feature, material planning feature, universal planning feature and environmental planning feature. Among floor planning features, natural sunlight, built-in closets, and differentiated floor plans are well considered, but the flexible floor plan for resident's lifestyle and green space are lack. Among material planning features, environment-friendly finishing materials, environment-friendly products and energy-efficient double-pane windows are well considered, but implementation for resource savings using recycled materials are lack. Among universal design planning features, removal of threshold and installation of safety device in bathroom are not well considered. Among environmental planning features, usage of alternative energy like solar energy are not applied. The environment-friendly planning features in interior space should be introduced in diverse ways.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.27 no.12
• /
• pp.2110-2117
• /
• 2003

A physics-based material removal model in various scales is described and a feature scale simulation for a chemical mechanical polishing (CMP) process is performed in this work. Three different scales are considered in this model, i.e., abrasive particle scale, asperity scale and wafer scale. The abrasive particle and the asperity scales are combined together and then homogenized to result in force balance conditions to be satisfied in the wafer scale using an extended Greenwood-Williamson and Whitehouse-Archard statistical model that takes into consideration the joint distribution of asperity heights and asperity tip radii. The final computation is made to evaluate the material removal rate in wafer scale and a computer simulation is performed for detailed surface profile variations on a representative feature. The results show the dependence of the material removal rate on the joint distribution, applied external pressure, relative velocity, and other operating conditions and design parameters.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
• /
• v.20 no.1
• /
• pp.65-73
• /
• 2007

Pattern classification of single and multiple discharge sources was applied using a wavelet image signal method in which a feature extraction was applied using a hidden sub-image. A feature extracting method that used vertical and horizontal images using an MSD method was applied to an averaging process for the scale of pulses for the phase. A feature extracting process for the preprocessing of the input of a neural network was performed using an inverse transformation of the horizontal, vertical, and diagonal sub-images. A back propagation algorithm in a neural network was used to classify defective signals. An algorithm for wavelet image processing was developed. In addition, the defective signal was classified using the extracted value that was quantified for the input of a neural network.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2005.07a
• /
• pp.225-226
• /
• 2005

In this Study, we have acquired 5-simulation Fault types Signals of high voltage Motor stator winding using epoxy/mica coupler. In order to know stator winding fault type using fault signals, we have performed feature extraction to apply wavelet transform technique. we have obtained skewness and kurtosis as statistical parameters of fault signal pattern from non deterioration state winding. We have know that 5 fault signals types have done an exponential function pattern shape but individually fault a class widely was different each other a signal waveform of pattern.

• Transactions on Electrical and Electronic Materials
• /
• v.18 no.5
• /
• pp.273-278
• /
• 2017

Recently, one of the areas where research is being actively conducted is the Internet of Things (IoT). The field of using the Internet of Things system is increasing, coupled with a remarkable increase of the use of the camera. However, general cameras used in the Internet of Things have limited viewing angles as compared to those available to the human eye. Also, cameras restrict observation of objects and the performance of observation. Therefore, in this paper, we propose a panoramic image stitching method using feature extraction and matching based on an embedded system. After extracting the feature of the image, the speed of image stitching is improved by reducing the amount of computation using the necessary information so that it can be used in the embedded system. Experimental results show that it is possible to improve the speed of feature matching and panoramic image stitching while generating a smooth image.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2010.05a
• /
• pp.283-284
• /
• 2010

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1997.10a
• /
• pp.145-149
• /
• 1997

STEP AP224 includes the information of machining feature and tolerances. Machining features are machined from raw material. Tolerance constrain feasible methods of manufacture, strongly influence the cost of manufacture. And tolerances influence the machining process. We need to decide the precedence between features .tool radius and tool direction for minimum tool changes. This paper deals with the method of decision of precedence between features and process parameters using feature information and tolerances in STEP AP224.