• Journal of Korean society of Dental Hygiene
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• v.20 no.1
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• pp.107-116
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• 2020

Objectives: This study applied the co-orientation model to investigate the degree to which dental hygienists and dentists recognize the efficiency of dental hygienists' non-surgical periodontal therapy work; the basic data can be provided as a systematic arrangement that can be applied and extended to dental clinics to raise mutual understanding. Methods: Independent sample t-tests, one-way ANOVA, and paired t-tests were conducted with a total of 888 subjects (530 dental hygienists and 358 dentists) using SPSS Statistics 22.0. Results: The analysis showed that, dental hygienists had higher recognition of the efficiency of their work (p<0.001) than dentists, with respect to all items(p>0.05). With respect to subjective agreement, dental hygienists estimated lower recognition among dentists than other dental hygienists and dentists estimated higher recognition among dentists than dental hygienists. With respect to accuracy, dentists' estimation was lower than the actual recognition among dental hygienists and dental hygienists' estimation was higher than the actual recognition among dentists in all cases except the efficiency of dental hygienists' patient education work and constant learning. Conclusions: There was wide gap between dental hygienists and dentists in recognition of the efficiency of dental hygienists' non-surgical periodontal therapy work. Actions must be taken to raise mutual understanding between dental hygienists and dentists regarding dental hygienists' non-surgical periodontal therapy work, to spread this recognition throughout the dental industry, and to implement systematic support at dental clinics.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.113-116
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• 1996

In this paper, an algorithm to generate the mounting position and orientation of SMD is proposed. For the proposed algorithm, we used the image captured from PCB and utilized image processing technique. Pre-processing technique, threshold level determination method, divided recognition of the SMD pattern on a PCB, calculating mounting position and orientation are related topics of this research. All of the related topics were reviewed and the results of this research were obtained from applying the algorithm to the real Surface Mounting Machine(model: MCU1 /CPM) made by Samsung Electronics Co.(Ltd.)

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.8
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• pp.983-991
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• 1988

In this paper, a new two dimensional processing method is presented, which determines the identity, position and orientation of a part. Matching between the object and model is performed in the frequency domain. The DFT of the object contour is decomposed to estimated the orientation of the object and to evaluate the similarity between the object and model. In this context, this new approach is very rbust with respect to noise and no preprocessing of the contour is required. Also, this method has many advantages over the conventional correlation technique. With only a few uniformly sampled points, this method can estimate the accurate orientation in an efficient manner even in a noisy environment.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.9
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• pp.104-113
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• 1996

In robot system, the robot manipulation needs the information of task and objects to be handled in possessing a variaty of positions and orientations. In the current industrial robot system, determining position and orientation of objects under industrial environments is one of major problems. In order to pick up an object, the roblt needs the information about the position and orientation of object, and between objects and gripper. When sensing is accomplished by pinhole model camera, the mathematical relationship between object points and their images is expressed in terms of perspective, i.e., central projection. In this paper, a new approach to determine the information of the supporting points related to position and orientation of the object using the robot vision system is developed and testified in experimental setup. The result will be useful for the industrial, agricultural, and autonomous robot.

• The Journal of the Acoustical Society of Korea
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• v.27 no.3E
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• pp.77-83
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• 2008

In the process of the sonar image textures produced, the orientation and scale factors are very significant. However, most of the related methods ignore the directional information and scale invariance or just pay attention to one of them. To overcome this problem, we apply Gabor wavelet to extract the features of sonar images, which combine the advantages of both the Gabor filter and traditional wavelet function. The mother wavelet is designed with constrained parameters and the optimal parameters will be selected at each orientation, with the help of bandwidth parameters based on the Fisher criterion. The Gabor wavelet can have the properties of both multi-scale and multi-orientation. Based on our experiment, this method is more appropriate than traditional wavelet or single Gabor filter as it provides the better discrimination of the textures and improves the recognition rate effectively. Meanwhile, comparing with other fusion methods, it can reduce the complexity and improve the calculation efficiency.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.17-24
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• 2011

Logistics company strives for satisfaction of customer service. the internal clients of corporation, the engineers of driver enhance their thinking about customer orientation by education of important about customer services. the study reached the conclusion that result which analyzed the important fact of enhancing customer orientation strategy by AHP show an ability of dealing with customer improves customer orientation strategy. because the desire of customer is various, it is difficult to have standard of dealing thought, the program of improvement of dealing ability should be developed and trained to improve customer orientation.

• Journal of Korea Multimedia Society
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• v.12 no.6
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• pp.804-814
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• 2009

In this paper, a novel system for avatar motion controlling by tracking face is presented. The system is composed of three main parts: firstly, LCS (Local Cluster Searching) method based face feature detection algorithm, secondly, HMM based feature points recognition algorithm, and finally, avatar controlling and animation generation algorithm. In LCS method, face region can be divided into many small piece regions in horizontal and vertical direction. Then the method will judge each cross point that if it is an object point, edge point or the background point. The HMM method will distinguish the mouth, eyes, nose etc. from these feature points. Based on the detected facial feature points, the 3D avatar is controlled by two ways: avatar orientation and animation, the avatar orientation controlling information can be acquired by analyzing facial geometric information; avatar animation can be generated from the face feature points smoothly. And finally for evaluating performance of the developed system, we implement the system on Window XP OS, the results show that the system can have an excellent performance.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.500-503
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• 1997

In this paper, a method for recognizing 3-D objects using the 3-D Hough transform and the robust stereo vision is studied. A 3-D object is recognized through two steps; modeling step and matching step. In modeling step, features of the object are extracted by analyzing the IGES file. In matching step, the values of the sensed image are compared with those of the IGES file which is assumed to location and orientation in the 3-D Hough transform domain. Since we use the 3-D Hough transform domain of the input image directly, the sensitivity to the noise and the high computational complexity could be significantly allcv~ated. Also, the cost efficiency is improved using the robust stereo vision for obtaining depth map image which is needed for 3-D Hough transform. In order lo verify the proposed method, real telephone model is recognized. Thc results of the location and orientation of the model are presented.

• Journal of Family Resource Management and Policy Review
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• v.2 no.2
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• pp.21-37
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• 1998

The purpose of this study was to investigate the hypothesijed a causal model of sujective perception of contribution to the family economy utilijing system theory. The major findings of this study were as follows. 1) The mean score of respondent’s personal subsystems were 3.62 out of 5. And the family solidarity was affected by the following variables in order : housewives’ age, income, type of occupation, degree of resourcefulness recognition, job satisfaction, control orientation, and information utilization. 2) The mean score of managerial subsystems were 3.68 out of 5. And The financial management of housewives was affected by the following variables. in order: housewives’ type of occupation, degree of resourcefulness recognition, control orientation, information utilization. 3) The mean score of housewives’subjective perception of Economic Contribution to the Family was 3.36 out of 5. The sujective perception of contribution to the family economy of the employed housewives were greater than unemployed housewives. 4) It was found that managerial subsystems had mostly effected on sujective perception of economic contribution to the family.

• Journal of the Korean Society for Nondestructive Testing
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• v.10 no.1
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• pp.10-17
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• 1990

Recently, object recognition ultrasonic sensor is being used with automatization of industrial machine. Points which characterize the object can be deleted by measuring the propagation time of ultrasonic impulse and azimuth which gives its maximum amplitude, and from these points shape, position and orientation of the object are deduced. A new measuring method is adopted, where the distance to the object is calculated by sound reflection time which is measured from O-cross point of sound wave, and azimuth is measured by angle indicating maximum amplitude. The measuring accuracy of 1.0mm for distance and $0.5-2^{\circ}$ for azimuth have been accomplished. By rotational scanning of sensor the characteristic point of an object can be known and it gives the information of its shape, position and orientation. Experimental results showed that the object of some complicated shape can be recognized, which suggest its applicability to robot.