• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.48 no.6
• /
• pp.15-23
• /
• 2011

Stereo vision approach to solve the problem using a single camera three dimension precise distance measurement and object recognition method is proposed. Precise three dimensional information of objects can be obtained using single camera, a laser light and a rotating flat mirror. With a simple thresholding operation on the depth information, the segmentations of objects can be obtained. Comparing the signatures of object boundaries with database, objects can be recognized. Improving the simulation results for the object recognition by precise distance measurement are presented.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2006.06a
• /
• pp.327-335
• /
• 2006

Case Based Reasoning (CBR) has come to be considered as an appropriate technique for diagnosis, prognosis and prescription in medicine. However, canventional CBR has a limitation in that it cannot incorporate asymmetric misclassification cast. It assumes that the cast of type1 error and type2 error are the same, so it cannot be modified according ta the error cast of each type. This problem provides major disincentive to apply conventional CBR ta many real world cases that have different casts associated with different types of error. Medical diagnosis is an important example. In this paper we suggest the new knowledge extraction technique called Cast-Sensitive Case Based Reasoning (CSCBR) that can incorporate unequal misclassification cast. The main idea involves a dynamic adaptation of the optimal classification boundary paint and the number of neighbors that minimize the tatol misclassification cast according ta the error casts. Our technique uses a genetic algorithm (GA) for finding these two feature vectors of CSCBR. We apply this new method ta diabetes datasets and compare the results with those of the cast-sensitive methods, C5.0 and CART. The results of this paper shaw that the proposed technique outperforms other methods and overcomes the limitation of conventional CBR.

• Proceedings of the KSME Conference
• /
• 2008.11a
• /
• pp.453-458
• /
• 2008

Under driving condition, A vehicle experiences various kinds of loads, which brings on the buckling and fracture of suspension systems. Lower control arm (LCA), which consists of 2 bush joints and 1 ball joint connection, is the one of the most important parts in the suspension system. The bush joints absorb the impact load and reduce the vibration from the road. When analyzing the LCA behavior, it is important to understand the material properties and boundary conditions of bushing systems correctly, because of the nonlinearity characteristics of the rubber. In this paper, in order to predict the large scale deformation of the LCA more precisely, three factors are newly suggested, that is, coupling of bush stiffness between translation and rotation, bush extraction force and maximum rotation angle of ball joint. LCA stiffness is estimated by CAE and component test. Analysis and test results are almost same and the validity of considering three factors in LCA analysis is verified.

• The Journal of the Korea Contents Association
• /
• v.5 no.5
• /
• pp.59-64
• /
• 2005

The biometrics of iris is a very accurate authentication method. The biometrics of iris can recognize and identify a person for shortly. But the image of iris is changed by transformation of body in the life. The existing iris authentication system has problem that can be mis-recognized. In this paper, we proposed and implemented Renewable Iris Authentication Algorithm(RIAA) for biometrics in authentication system. This algorithm tries to present a new way to people identification, we show contour line when shift take photograph in regular side. Namely, it generate iris code based on boundary of projection or submergence side and compared to original, so that it describes iris identification method to people identification.

• Journal of Korea Multimedia Society
• /
• v.13 no.3
• /
• pp.400-409
• /
• 2010

This paper presents a position error recognition system when the wafer is mounted in cleaning equipment among the wafer manufacturing processes. The proposed system is to enhance the performance in cost and reliability by preventing the wafer cleaning system from damaging by alerting it when it is put in correct position. The key algorithms are the calibration method between image acquired from camera and physical wafer, a infrared lighting and the design of the filter, and the extraction of wafer boundary and the position error recognition resulting from generation of circle based on least square method. The system is to install in-line process using high reliable and high accurate position recognition. The experimental results show that the performance is good in detecting errors within tolerance.

• The Journal of the Korean life insurance medical association
• /
• v.3 no.1
• /
• pp.233-244
• /
• 1986

We'd experienced a case of primary hepatoma at medical department, Dae han Kyoyuk Ins. Company January 1985. As it was found very early stage, we made out the case long term-survival possibility unexpectedly. The conclusions we gained, making comparative-analysis of ultrasonic view and operation's view are as follows; 1. By ultrasonography, echogenicity of tumor was increased type as compared with liver parenchyme. 2. The margin of the primary hepatoma by ultrasonography encapsulated well and the extraction after operation was same. 3. The boundary of tumor was clear. 4. The space-occupying lesion in liver was solitary. 5. The affected site was left lobe of the liver. 6. We couldn't discover a little fluid echo in upper abdomen on the ultrasonography, but could see in the cul-de-sac area and it accorded with the gross finding during laparotomy. 7. The case was cholangiocarcinoma in view of pathologic histology. 8. After the operation of lobectomy. the prognosis which was passed a months was very satisfactory and she exists until present.

• Journal of Environmental Impact Assessment
• /
• v.13 no.5
• /
• pp.231-241
• /
• 2004

This study aims to detect the change of marine aquaculture farm within the boundary of Hallyeo Marine National Park. Comparison has been made on the Landsat images taken in 1984 and 2002 respectively by using feature extraction methods and other image analysis techniques. During the 18 year period between 1984 and 2002, total area of the aquaculture farms has been decreased in 63 percent. The reason for the change seems to be that aquaculture farms became concentrated only around the Geoje Islands due to the growth of the labor- and capital-intensive cage aquaculture for the expensive fish species instead of traditional oyster farming. Authors suggest the monitoring using remotely-sensed data as the best tool for the management of marine aquaculture farms on the basis of accuracy of analysis and relatively cheap cost. Management strategies of salmon farms in Tasmania, Australia has been analyzed to find the field techniques necessary for the management of aquaculture.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.18 no.1
• /
• pp.33-40
• /
• 2000

The aim of this study is to extract bridge location(center line and width of a bridge) from SPOT XS data with 20. The boundary pixels were computed to get the mixture proportions of classes and this mixture proportions were used to extract center line and width of a bridge. The accuracy was tested by comparing the extracted bridge center line coordinate and width to the existing 1:5,000 scale national digital map and field survey data. The results of the comparison show that the measuring accuracy of the bridge center line coordinates and width are $\pm$2.9 m and $\pm$4.1 m.

• Smart Structures and Systems
• /
• v.15 no.5
• /
• pp.1233-1252
• /
• 2015

This study investigates the problem of crack detection in post-buckled beam-type structures. The beam under the axial compressive force has a crack, assumed to be open and through the width. The crack, which is modeled by a massless rotational spring, divides the beam into two segments. The crack detection is considered as an optimization problem, and the weighted sum of the squared errors between the measured and computed natural frequencies is minimized by the bees algorithm. To find the natural frequencies, the governing nonlinear equations of motion for the post-buckled state are first derived. The solution of the nonlinear differential equations of the two segments consists of static and dynamic parts. The differential quadrature method along with an arc length strategy is used to solve the static part, while the same method is utilized for the solution of the linearized dynamic part and the extraction of the natural frequencies of the cracked beam. The investigation includes several numerical as well as experimental case studies on the post-buckled simply supported and clamped-clamped beams having open cracks. The results show that several parameters such as the amount of applied compressive force and boundary conditions influences the outcome of the crack detection scheme. The identification results also show that the crack position and depth can be predicted well by the presented method.

• Journal of Welding and Joining
• /
• v.20 no.5
• /
• pp.78-86
• /
• 2002

A metallurgical model for the prediction of prior austenite grain size considering the dissolution kinetics of M$_3$C precipitates at the heat affected zone of SA508-cl.3 was proposed. The isothermal kinetics of grain growth and dissolution were respectively described by well-known equation, $dD/dT=M({\Delta}F_{eff})^M$ and Whelan's analytical model. The isothermal grain growth experiments were carried out for measure the kinetic parameters of grain growth. The precipitates of the base metal and the specimens exposed to thermal cycle were examined by TEM-carbon extraction replica method. The model was assessed by the comparison of BUE simulation experiments and showed good consistencies. However, there was no difference between the model considering and ignoring $M_3C$ precipitates. It seems considered that pinning force exerted by $M_3C$ Precipitates was lower than driving force for grain growth due to large size and small fraction of precipitates, and mobility of grain boundary was low in the lower temperature range.