• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.95-105
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• 2006

This paper proposes a novel approach to represent the image by using shape descriptor having an information of area. The proposed descriptor is a set of vectors, consists of radius, area and direction parameters in the concentrated center point. Due to the area parameter, we know our descriptor can obtain the information of area. Also, we give an extended shape descriptor to get more detailed representation. To do this, we move the center point of our vision to that point for region of interest. By doing so about all of region of interest, we can get our descriptor for detailed information of the image. From more detailed descriptor, it's natural that it's more efficient fur representation, retrievals and so on. We make it the normalized pattern and expand to improve its quality. The proposed method is invariant to scale, position and rotation. The results show that it can be used efficiently for image representation as we can see in retrievals of silhouette images.

• Korean Journal of Community Nutrition
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• v.3 no.2
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• pp.261-272
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• 1998

The purpose of this study was to develop, implement and evaluate a nutrition education program for middle aged men at a worksite. To be read easily, induce interest, and selected at need, seven 6-page leaflet aets were developed, which was the most preferable from chosen by the subjects. The contents of leaflet set were [Changing life style], [Good food habit],[Weight control and diet],[Cardiovascualr disease and diet], [Alimentary disease and diet],[Diaabetes and diet],and [Liver disease and diet]. Nutrition education was provided for 61 middle aged men(30 professors, 31 office workers) at a worksite from 40 mins to one hour. And the level of nutrition knowledge and nutrition attitude were tested to evaluate the effects of the nutrition education program with a developed leaflet set before and after nutrition education. After the nutrition deucation. the nutrition knowledge score had increased significantly at p<0.001, from average 9.3 point to 11.4 point. The level of nutrition knowledge was increased significantly at p<0.001, and the prevalence of misconceptions and the uncertainty of knowledge were decreased significantly at p<0.05. There was a significant difference between professors and office workers both before and after the program. Also, there was a significant increase in the attitude about nutrition score after the program and this means that the subjects were flexibly more open minded about nutrition than before(from 39.9 point, at p<0.001). The difference in the nutrition attitude score between professors and office workers was not significant both before and after the nutrition deucation. The developed leaflet set was evaluated very positively in understanding, interest, timing, and usage by the subjects.

• Journal of Broadcast Engineering
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• v.17 no.5
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• pp.789-807
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• 2012

The purpose of this paper is to find various disparity factors in conjunction with situations and contexts of the contents that cause viewer's discomfort, which is to make a content production guideline for viewer's safety, eventually. As a methodology, we extract the experimental data by letting various viewers push a pre-defined key as long as they feel discomfort during watching stereo 3D contents. For each contents, we extract the disparities and disparity changes for the focal point, vicinity of the focal point (ROI, region of interest), and the whole image. For each contents, each point or part of contents is analyzed to find the factors causing discomfort with the two prepared data with watching the contents in 3D. Then, all the analyzed data are re-analyzed to find the strength of each factor. The results from the analyses are explained from the factors having relatively high strength first. It includes the factors that are not known as well as the ones that we can already guess.

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.2 s.14
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• pp.47-56
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• 1999

In this study, tie point observation in aerial triangulation was automated by the image processing methods. The technique includes boundary extraction and We matching processes. The procedures were applied to extract points of Interest and to find their conjugate points in the other images. The image coordinates of the identified points were then used to compute their absolute coordinates. An algorithm was developed in this study for the automation of observation in aerial triangulation, which is a manual process of selecting a tie point and recording the image coordinate of the selected point. The developed algorithm automates this process through the application of a mathematical operator to extract points of interest from an arbitrary image. The root m square error of image coordinates of the developed algorithm is $6.8{\mu}m$, which is close to that of the present analytical method. In a manual environment, the accuracy of the result of a photogrammetric process is heavily dependant on the level of skill and experience of the human operator. No such problem exists in an automated system. Also, as a result of the automated system, the time spent in the observation process could be reduced by a factor of 61.2%, thereby reducing the overall cost.

• Journal of Biomedical Engineering Research
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• v.26 no.6
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• pp.357-363
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• 2005

Active contour models have been extensively used to segment, match, and track objects of interest in computer vision and image processing applications, particularly to locate object boundaries. With conventional methods an object boundary can be extracted by controlling the internal energy and external energy based on energy minimization. However, this still leaves a number of problems, such as initialization and poor convergence in concave regions. In particular, a contour is unable to enter a concave region based on the stretching and bending characteristic of the internal energy. Therefore, this study proposes a method that controls the internal energy by moving the local perpendicular bisector point of each control point on the contour, and determines the object boundary by minimizing the energy relative to the external energy. Convergence at a concave region can then be effectively implemented as regards the feature of interest using the internal energy, plus several objects can be detected using a multi-detection method based on the initial contour. The proposed method is compared with other conventional methods through objective validation and subjective consideration. As a result, it is anticipated that the proposed method can be efficiently applied to the detection of the pulmonary parenchyma region in medical images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1518-1524
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• 2014

In this paper, a new method of spatial query, which is called Surround Search (SuSe) is suggested. This method makes it possible to search for the closest spatial object of interest to the user from a query point. SuSe is differentiated from the existing spatial object query schemes, because it locates the closest spatial object of interest around the query point. While SuSe searches the surroundings, the spatial object is saved on an R-tree, and MINDIST, the distance between the query location and objects, is measured by considering an angle that the existing spatial object query methods have not previously considered. The angle between targeted-search objects is found from a query point that is hidden behind another object in order to distinguish hidden objects from them. The distinct feature of this proposed scheme is that it can search the faraway or hidden objects, in contrast to the existing method. SuSe is able to search for spatial objects more precisely, and users can be confident that this scheme will have superior performance to its predecessor.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1111-1117
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• 2022

Recently, interest in the circular economy has emerged in the industry. As a result, interest in Re-manufacturing, which makes old equipment similar to new products, is growing. In the machine tool industry with many aging equipment, the Re-manufacturing industry is essential, and among them, research on the performance improvement of gear type oil pumps was conducted. The purpose was to achieve the target performance of flow rate and volume efficiency by changing the shape of the gear pump housing clearance and inlet/outlet, and Computational Fluid Analysis and Central Composite Design were conducted using ANSYS CFX 2022 R2 and MINITAB®. The level of each determined factor was determined. 20 design points were derived, and the Flow Rate at each design point was calculated, and the Theoretical Flow Rate was calculated to obtain Volumetric Efficiency. The optimal design point was obtained when the Flow Rate was 140 lpm and the Volumetric Efficiency was maximum, the optimal design point was obtained when both were maximum, and the Surface Plot for each factor was obtained to identify the tendency.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.167-175
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• 2017

The purpose of this study was to investigate the convergence factors affecting behavior of oral health improvement perceived by the subjective oral health awareness perception factors in some college students. The questionnaire was conducted from April 10, 2017 to April 30, 2013 for 300 students at S university and the and the 290 final data were used. Oral health knowledge, oral health importance measured by 5-point, oral health status and oral health interest are 11.46, 1.71, 2.78, 2.52 respectively. Significant differences from experience of oral health education for oral health knowledge, oral health importance, oral health interest have been observed. The convergence factors influencing acts of oral health promotion were oral health status(${\beta}=-0.188$) and oral health interest(${\beta}=-0.265$) the higer the oral health status and oral health interest, the better acts of oral health promotion. Therefore, effective oral health education programs should be developed to increase oral health knowledge and interest in oral health and to change behavior and attitude.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.696-702
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• 2014

This study was conducted to provide resonable price of timber that come out from certified forests for sustainable forest management. To accomplish this study objectives, we analyzed compound interest method, willingness to pay (WTP) and price sensitivity measurement (PSM) when buying certified pulp. In case of compound interest method, we used prime cost by average price per ha of each area (Hongcheon, Inje, Shinnam) and unit price that add up the pulp price and investment costs. Interest rate reflects 2 to 6% and investment period apply to 5 years. WTP and PSM data were collected from questionnaire survey. As a result, if apply to interest rate of 2% and investment period of 3 years, result values are quite similar to WTP of 5% and optimal pricing point of PSM. That also showed similar pattern in each area.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.3
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• pp.241-246
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• 2016

Nowadays many people have an interest in facial expression and the behavior of people. These are human-robot interaction (HRI) researchers utilize digital image processing, pattern recognition and machine learning for their studies. Facial feature point detector algorithms are very important for face recognition, gaze tracking, expression, and emotion recognition. In this paper, a cascade facial feature point detector is used for finding facial feature points such as the eyes, nose and mouth. However, the detector has difficulty extracting the feature points from several images, because images have different conditions such as size, color, brightness, etc. Therefore, in this paper, we propose an algorithm using a modified cascade facial feature point detector using a convolutional neural network. The structure of the convolution neural network is based on LeNet-5 of Yann LeCun. For input data of the convolutional neural network, outputs from a cascade facial feature point detector that have color and gray images were used. The images were resized to $32{\times}32$. In addition, the gray images were made into the YUV format. The gray and color images are the basis for the convolution neural network. Then, we classified about 1,200 testing images that show subjects. This research found that the proposed method is more accurate than a cascade facial feature point detector, because the algorithm provides modified results from the cascade facial feature point detector.