• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.823-824
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• 2008

In this paper, we propose a robust and fast digital image stabilization algorithm based on edge detection. The proposed algorithm exploits sobel operator to obtain edge image and fast detects irregular conditions with analyzing an edge information of the image. Experimental results show that the proposed algorithm can gain better performance in the sense of speed and precision comparing with full-block search method.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.11a
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• pp.934-938
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• 2000

This paper presents a laser cutting of 2D image. 2D image in pixel graphic format is converted into vector graphic image by image processing. Bitmap graphics are made easily, but can not being used in application works for geometry transition. The Sobel's Edge detection method is used to find boundary points on 2D image. The points are fitted into curves with sampling and filtering. Sampling can provide efficient computation and filtering reconstuct features in image. The NC code is generated on MURBS curve of the points. Also, the offset of contour and cutting conditions are considered.

• Journal of Korea Multimedia Society
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• v.4 no.6
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• pp.554-561
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• 2001

Wavelet transformation method which has special qualities of frequency domain and spatial domain is used for watermarking. We have compared the decree of similarity to find a robust watermarking sequence for different attacks, using random number, gaussian sequence, chaos sequence and sobel sequence. The experimental results show that chaos sequence is an effective sequence for robust watermarking.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.181-185
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• 2003

Recently, in accordance with supplying high-resolution satellite images which as IKONOS, KVR-1000, and Quick Bird, the use of satellite images have increased in the study which extraction of features from high-resolution satellite images is becoming a new research focus. In this study, using generally involves such as image segmentation, filtering and sobel operator and thinning in image processing for extraction of feature from satellite image. We apply this method to extraction of feature which need to the revision of map from high-resolution IKONOS satellite image data, we verified the capability of extraction of feature and application using satellite image and proposed a plan for the study in the future.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.6
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• pp.71-80
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• 1994

The purpose of this paper is to explore the use of fuzzy set theory for image processing and analysis. As an application example, the fuzzy method of edge detection is proposed to extract the edges of raised characters on tires.In general, Sobel, Prewitt, Robert and LoG filters are used to detect the edge, but it is difficult to detect the edge because of ambiguity of representations, noise and general problems in the interpretation of tire image. Therefore, in his paper, the fuzzy property plane has been extracted from the spatial domain using the ramp-mapping function. And then the ideas of fuzzy MIN and MAX are applied in removing noise and enhancement of the image simultaneously. From the result of MIN and MAX procedure a new fuzzy singleton is generated by extracting the difference between adjacent membership function values. And the edges are extracted by applying fuzzy $\alpha$-cut set to the fuzzy singletion, Finally, these ideas are applied to the tire images.

• Health Policy and Management
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• v.29 no.3
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• pp.323-331
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• 2019

Background: The purpose of this study is to analyze the effect of impartiality in providing public health services on subjective health happiness and the mediated effects of public health service quality. Based on this, this study intends to present policy implications to improve public health services. Methods: The research method is multiple linear regression analysis. The analysis of the mediating effects is performed by Baron & Kenny's test, Sobel-Goodman's test, and Bootstrap. Results: The impartiality of public health services and the quality of public health services are shown to have a statistically significant effect on subjective health happiness. Quality of public health service appears to be mediating the relationship between impartiality in providing public health care and subjective health happiness. Conclusion: To promote people's subjective health happiness, it is necessary to secure impartiality in providing public health services in the first place and improve the quality of public health services.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.31-36
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• 2021

This study aims to provide basic data on establishing online learning by identifying the effects of self-efficacy as a medium on factors affecting self-control according to self-determination motivation through contactless online learning due to Covid-19. The research method used SPSS 25 and Sobel test to examine the causal relationship between the spokesmen and 196 middle and high school students in W-city, Gangwon-do. Self-determination motivation has had a significant effect on self-efficacy and self-control, and self-efficacy has been shown to have a significant effect on self-control. Also, Self-efficacy had a partial mediating effect on self-determination motivation affecting self-control. Based on this, fundamental and continuous development of online education programs to promote self-control of online learners is required, and efforts should be made to support learners' capabilities through psychological counseling.

• Journal of the Korean Society of School Health
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• v.35 no.1
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• pp.31-39
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• 2022

Purpose: The purpose of the study was to examine the meditating effect of unconditional self acceptance on the relationship between life stress and depression in nursing students. Methods: Data was collected from a survey of 140 nursing students using self-reported questionnaires. The data was analyzed using IBM SPSS Statistic 25.0. The mediating effect of unconditional self-acceptance on the relationship between the subject's life stress and depression was analyzed using Baron and Kenny's method. In addition, the Sobel test was conducted to determine the significance of the mediating effect. Results: The regression model explained 43% of the variance in nursing students' depression. Significant factors were task-related life stress, unconditional self acceptance, and academic achievement. Unconditional self acceptance had a partial mediating effect on the relationship between nursing students' task-related life stress and depression. Conclusion: To prevent depression in nursing students, it is necessary to build effective strategies to manage task-related stress and improve unconditional self-acceptance.

• Smart Structures and Systems
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• v.28 no.6
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• pp.779-789
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• 2021

Cracks in railway sleeper are an inevitable condition and has a significant influence on the safety of railway system. Although the technology of railway sleeper condition monitoring using machine learning (ML) models has been widely applied, the crack recognition accuracy is still in need of improvement. In this paper, a two-stage method using edge detection and convolutional neural network (CNN) is proposed to reduce the burden of computing for detecting cracks in railway sleepers with high accuracy. In the first stage, the edge detection is carried out by using the 3×3 neighborhood range algorithm to find out the possible crack areas, and a series of mathematical morphology operations are further used to eliminate the influence of noise targets to the edge detection results. In the second stage, a CNN model is employed to classify the results of edge detection. Through the analysis of abundant images of sleepers with cracks, it is proved that the cracks detected by the neighborhood range algorithm are superior to those detected by Sobel and Canny algorithms, which can be classified by proposed CNN model with high accuracy.

• Nuclear Engineering and Technology
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• v.54 no.6
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• pp.2031-2036
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• 2022

Energetic particle strikes the device and induces data corruption in the configuration memory (CRAM), causing errors and even malfunctions in a system on chip (SoC). Software-based fault injection is a convenient way to assess device performance. In this paper, dynamic partial reconfiguration (DPR) is adopted to make fault injection on a Xilinx 16 nm FinFET Ultrascale+ MPSoC. And the reconfiguration module implements the Sobel and Gaussian image filtering, respectively. Fault injections are executed on the static and reconfiguration modules' bitstreams, respectively. Another contribution is that the failure modes and effects analysis (FMEA) method is applied to evaluate the system reliability, according to the obtained injection results. This paper proposes a software-based solution to estimate programmable device vulnerability.