• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.6
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• pp.527-532
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• 2013

Depth estimation is an essential factor for robot vision, 3D scene modeling, and motion control. The depth estimation method is based on focusing values calculated in a series of images by a single camera at different distance between lens and object. In this paper, we proposed a relative depth estimation method using focus measure. The proposed method is implemented by focus value calculated for each image obtained at different lens position and then depth is finally estimated by considering relative distance of two patterns. We performed various experiments on the effective focus measures for depth estimation by using various patterns and their usefulness.

• Journal of the Korea Society of Computer and Information
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• v.23 no.1
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• pp.25-32
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• 2018

In this paper, we propose an edge detection algorithm for auto focus of infrared camera. We designed and implemented the edge detection of infrared image by using a spatial filter on FPGA. The infrared camera should be designed to minimize the image processing time and usage of hardware resource because these days surveillance systems should have the fast response and be low size, weight and power. we applied the $3{\times}3$ mask filter which has an advantage of minimizing the usage of memory and the propagation delay to process filtering. When we applied Laplacian filter to extract contour data from an image, not only edge components but also noise components of the image were extracted by the filter. These noise components make it difficult to determine the focus state. Also a bad pixel of infrared detector causes a problem in detecting the edge components. So we propose an adaptive edge detection filter that is a method to extract only edge components except noise components of an image by analyzing a variance of pixel data in $3{\times}3$ memory area. And we can detect the bad pixel and replace it with neighboring normal pixel value when we store a pixel in $3{\times}3$ memory area for filtering calculation. The experimental result proves that the proposed method is effective to implement the edge detection for auto focus in infrared camera.

• Journal of Elementary Mathematics Education in Korea
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• v.21 no.1
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• pp.243-262
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• 2017

This study has its purpose on improving mathematic education by analyzing the effects of the teaching and learning process which adopted 'FOCUS Problem Solving Steps' on student's mathematical problem solving ability and their mathematical attitude. The result is as follows. First, activities through FOCUS Problem Solving Steps showed positive effect on students' problem solving ability. Second, among mathematical attitudes, mathematical curiosity, reflection and value are proved to have statistically meaningful effect and from the result that analyzed changes of subject students, we could suppose that all 6 elements of mathematical attitude had positive effect. Third, by solving questions through FOCUS steps, students felt satisfaction when they success by themselves. If projects which adopted FOCUS Problem Solving Steps take effect continuously by happiness from the process of reviewing and reflecting their own fallacy and solving that, we might expect meaningful effect on students' problem solving ability. Through this study, FOCUS Problem Solving Steps had positive effect not only on students' mathematical problem solving ability but also on formation of mathematical attitude. As a result, it implies that FOCUS Problem Solving Steps need to be applied to other grades and fields and then studied more.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.24 no.4
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• pp.599-607
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• 2000

In this study, experiments have been performed to examine the effects of background gray-level on the depth-of-field and on the in-focus criteria. The normalized value of contrast(VC) and the gradient indicator(GI) were used as the in-focus criteria for the small and the large size-ranges of particles, respectively. The slightly larger number of pixels were detected with the brighter background. The maximum of the normalized value of contrast(VCmax) is decreased with the brighter background and its deviation from that with the background gray-level of 160 turned out to be about $pm$15% when the background gray-level changes from 100 to 200. However, the maximum gradient indicator(GImax) changes with the background gray-level within only $pm$5%. The depth-of-field for the VC-applicable particle-size range is largely dependent on the background gray-level. On the other hand, the depth-of-field for the GI-applicable particle-size range changes only slightly with the background gray-level. To keep the normalized standard deviation of the particle size within 0.1, the background gray-level should be set 160$pm$20 for both the VC-applicable and GI-applicable ranges which cover the particle size between $10{\mu}m$ and $300{\mu}m$.

• Journal of Advanced Navigation Technology
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• v.21 no.4
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• pp.394-401
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• 2017

Smart Mirror is one of the representative technologies developed as a new communication method to escape the traditional technology by applying to the existing space. In this paper, we applied Smart Mirror to the beauty space to discover the service providing value needed to provide the beauty care service and to study the user experience for the value enhancement. In-depth interviews were conducted to investigate the user experience for enhancing the value of service provision. The results of analyzing the collected data using the affinity method were derived. Finally, the service value that can increase the user's satisfaction through the focus group interview was suggested, which suggested a way to improve the user's experience through the smart mirror.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.3
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• pp.23-39
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• 2021

Investment of organization in information security is increasing, but information security threats within the organization are not decreasing. The purpose of this study is to suggest a direction to increase the information security compliance intention of employees. In detail, the study presents the positive effects of security motivation and organization trust on the information security compliance intention, and presents the moderating effect of work promotion focus. Research model and hypothesis verification are confirmed through structural equation modeling and the study conducted a questionnaire technique to the employees of the organization applying the information security policy for quantitative verification. As a result, information security punishment and value congruence had a positive affect on the compliance intention by mediating organization trust. In addition, work promotion focus had a moderating effect on the positive relationship between the precedent factors on the compliance intention. The research has academic and practical implications from the viewpoint of presenting the factors of the organization's efforts to improve the level of information security compliance by insiders.

• The Research Journal of the Costume Culture
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• v.23 no.3
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• pp.468-483
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• 2015

Fast fashion brand marketers should develop marketing strategies that effectively satisfy the values consumers seek when purchasing fast fashion brands. This study aimed to identify the consumption value factors of fast fashion brands and to reveal the value factors that influence attitudes toward purchasing fast fashion brands. Data were gathered by surveying university students in the Seoul metropolitan area using convenience sampling. Three hundred and five questionnaires were used in the statistical analysis, which consisted of exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. The factor analysis revealed the following six value factors: Emotional value, social value, price/value for money, durability value, eco-value, and consistency value. The fit statistic for the six-factor model was quite acceptable. Two of the six value factors, emotional value and price/value for money, positively influenced attitudes toward purchasing fast fashion brands. The overall fits of the revealed model suggested that the model fit the data well. The results suggested that fast fashion marketers need to understand the value factors that motivate consumers to purchase fast fashion brands. In addition, marketers should focus their efforts on satisfying emotional value and price/value for money in order to establish their brands in the increasingly competitive fast fashion industry.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.61-86
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• 2004

Despite their potential value, the mobile Internet services in the domestic market have not been widely accepted as industry experts have expected. To understand why, this study uses the TAM, Technology Acceptance Model, and explores the factors affecting the usage behavior of the end-users. Based on statistical analysis of survey data, we show that social influence and perceived ease of use affect perceived usefulness, and that self-efficacy and focus significantly influence perceived ease of use. Furthermore, perceived usefulness is shown to play a significant role in explaining actual usage of the mobile Internet services. However, contrary to the hypothesized relationships, service quality, focus, and innovativeness of users turn out to have little impact on the traditional endogenous TAM variables such as perceived usefulness, perceived ease of use, and actual usage behavior. Based on these results, we attempt to provide managerial implications for the domestic mobile Internet service providers and to suggest future research directions in this domain of research.

• Proceedings of the KIEE Conference
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• 1997.11a
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• pp.603-605
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• 1997

A new algorithm using 1-dimensional wavelet transform for autofocusing of optical instrument has been developed. Previous studies based on the conventional frequency analysis have shown that as the lens-object distance approaches the optimum value, the high frequency energy in the corresponding image shows a consistent increase. However, as conventional frequency analysis techniques hide spatial distribution of each band energy, shape information in the original signal cannot be easily utilized. In this paper, a newly devised wavelet based focus measuring scheme is presented. Unlike other frequency domain analysis techniques that simply produce "frequency-only" spectra, wavelet analysis provides a "time-frequency" localized view of a given signal. As a result, both frequency band filtering and spatial distribution filtering can easily be realized. Depending on the proposed focus quality measuring algorithm, a fast and reliable automatic focus adjustment of optical devices could be implemented.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.05a
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• pp.196-202
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• 2005

Recently, hospital architecture has acknowledged remedial value of environment and atmosphere, which consider patient's statement of physical, spiritual, psychological and social focus, escape from the past focus of functional and rational space composition. The many research of hospital architecture just analyze elements of architectural planing which focus how to make a healing environment for patients. The purpose of this study is to abstract the design principle of architectural space composition for healing environment significance, through case study which follow up space composition. To abstract healing environment significance by space composition, each case study hospitals should be analyzed and estimated on the spatial composition elements. It is to provide the basic data for effective architectural planning of the hospital.