• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.19-29
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• 2006

As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.53-64
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• 2020

For students studying early childhood education that leads the future, entrepreneurship education should be applicable to the educational field and targeting students studying early childhood education, a basic investigation on the recognition and demand for the necessity of entrepreneurship education should be preceded. Research that develop various entrepreneurial education programs is needed for early childhood education and students. Collected theoretical data through consideration of previous studies. and recognizing the necessity of entrepreneurship training, I produced an online survey for needs investigation of students studying early childhood education. I analyzed the data with 239 questionnaires collected. Research results, first, it is necessary to recognize the necessity of entrepreneurship education related to various career education in consideration of the career after graduation and a few years since they graduated. Second, it is necessary for a program that effectively and systematically develops various educational areas and contents in a mixed form of online and offline. Third, it is necessary to support customized programs in government agencies through the analysis of learner needs.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.205-211
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• 2018

The purpose of this study is to classify appropriate content types according to the cyber education contents needed for employees of health and welfare and to develop contents based on specific instructional design strategies for each type. We divided the four types of content into instructor-led type contents, storytelling type contents, practice type contents, and case presentation type contents based on previous research and existing health and welfare cyber education contents. For each content type, a macro design strategies and a micro design strategies were derived, and contents were developed in accordance with the design strategies. Data were collected from 150 employees of health and welfare to analyze learning satisfaction. The average of learning satisfaction was 4.42. The results of this study will provide theoretical background and practical implications for the design and development of cyber education contents in health and welfare areas.

• Journal of the Korean earth science society
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• v.40 no.6
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• pp.654-670
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• 2019

From the perspective of science gifted education, the successful intelligence theory is a means to understand how the gifted education curriculum reflects the characteristics of science gifted students. The purpose of this study is to investigate if the successful intelligence is fully reflected in the teaching materials of two gifted education centers (GECDOE: Gifted Education Center affiliated with District Office of Education, GSEIU: Gifted Science Education Institute attached to University). For this study, we selectively used 143 (GECDOE) and 134 questions (GSEIU) from the teaching materials of two gifted education centers. Those questions is analyzed through the semantic network analysis method. The results are as follow. First, the teaching materials of two gifted education centers are not evenly reflected in the successful intelligence, such as analytical ability, creative ability, and practical ability. Second, the teaching materials of two gifted education centers intensively demands analytical ability for students such as 'identify problem', 'represent and organize information', and 'additional prompts for analytical thinking'. Third, the teaching materials of two gifted education centers are presented to students without linking each frame of successful intelligence to one another. As the gifted students are quick to learn and show a preference for more complex thinking, it is necessary to develop teaching materials to experience the various abilities and promote integrated thinking according to the level of the gifted students. In this respect, this study is expected to be used as useful information for developing teaching materials to support customized education for gifted students.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.9
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• pp.723-732
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• 2001

In this paper, the neurofuzzy controller of optically guided AGV is proposed to improve the path-tracking performance A differential steered AGV has front-side and rear-side optical sensors, which can identify the guiding path. Due to the discontinuity of measured data in optical sensors, optically guided AGVs break away easily from the guiding path and path-tracking performance is being degraded. Whenever the On/Off signals in the optical sensors are generated discontinuously, the motion errors can be measured and updated. After sensing, the variation of motion errors can be estimated continuously by the dead reckoning method according to left/right wheel angular velocity. We define the estimated contour error as the sum of the measured contour in the sensing error and the estimated variation of contour error after sensing. The neurofuzzy system consists of incorporating fuzzy controller and neural network. The center and width of fuzzy membership functions are adaptively adjusted by back-propagation learning to minimize th estimated contour error. The proposed control system can be compared with the traditional fuzzy control and decision system in their network structure and learning ability. The proposed control strategy is experience through simulated model to check the performance.

• Journal of KIISE:Software and Applications
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• v.33 no.2
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• pp.201-219
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• 2006

The key to developing software with the lowest cost and highest quality is to implement or fit the software development process into a given environment. Generally, applying commercial or standard software development processes on a specific project can cause too much overhead if there is no effort to customize the given generic processes. Even though the customizing activities are done before starting the project, these activities are thoroughly dependent on the process engineers who have abundant experience and knowledge with tailoring processes. Owing to this dependence on human knowledge, it has been very difficult to explain the rationale for the results of process tailoring and it takes a long time to get the customized process that is applicable. Hence, we suggest a process tailoring method which adopts the artificial neural network based teaming theory to reduce the time consumed by process tailoring. Furthermore, we suggest the feedback loop mechanism to get higher accuracy in the neural network designed for the process tailoring. It can be done by reusing the process tailoring data results and determining its appropriateness level as sample data to the neural network. We proved the effectiveness of our process tailoring method through case studies using real historical data, which yielded abundant process tailoring results as sample data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6B
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• pp.597-603
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• 2006

The purpose of this study is to improve the short term rainfall forecast skill using neural network model that can deal with the non-linear behavior between satellite data and ground observation, and minimize the flood damage. To overcome the geographical limitation of Korean peninsula and get the long forecast lead time of 3 to 6 hour, the developed rainfall forecast model took satellite imageries and wide range AWS data. The architecture of neural network model is a multi-layer neural network which consists of one input layer, one hidden layer, and one output layer. Neural network is trained using a momentum back propagation algorithm. Flood was estimated using rainfall forecasts. We developed a dynamic flood inundation model which is associated with 1-dimensional flood routing model. Therefore the model can forecast flood aspect in a protected lowland by levee failure of river. In the case of multiple levee breaks at main stream and tributaries, the developed flood inundation model can estimate flood level in a river and inundation level and area in a protected lowland simultaneously.

• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.383-395
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• 2012

This study investigated the recognition of teachers on the introduction and use of SMART education, which is an ICT-based customized learning method. Through the investigation, the study was to empirically examine the relationship between the use intention of SMART education and its influential factors, and analyze the difference in the use intention of SMART education by teachers, focusing on the experience of SMART education. For analysis purpose, a structural equation model, which was expanded from the theory of reasoned action, was presented. In addition, the difference in path coefficient, which affects the use intention of SMART education, was compared based on the experience with or without SMART education. The results showed that teacher efficacy in the teacher group without SMART education experience was more negatively significant in class burden. In the teacher group with SMART education experience, it was found that the attitude toward SMART education was more significant in use intention; organizational citizenship behavior was more significant in use intention; teacher efficacy was more significant in the attitude toward SMART education and; teacher efficacy was more significant in organizational citizenship behavior. No significant difference was found in the path coefficient among the groups in other hypotheses. Through these results, the factors for introducing and promoting SMART education and its invigoration measures were presented.

• Journal of Gifted/Talented Education
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• v.10 no.2
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• pp.71-86
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• 2000

According to Torrance, it is said that about 30% of feeble-headed children are bearing potential brilliant quality. Such potential gifted children exist really much more than children who appear to show their own brilliant quality. Nevertheless, research activity to reveal children's potential giftedness has not been relatively actively progressed. Renzulli, Smith and so on progresses research activity to reveal children's potential giftedness and strategies developed by them are being used widely all over the world, but these strategies show the defect that children can not overcome by themselves the interfered factors influenced negatively on their gift revelation. Russian scholar Babaeva made the effective education program to develop children's potential giftedness. Her program includes various activity methods or mental correct activity and psychological training activity and such training activity is realized through some steps and each step has it's own purpose and realization method. With the result that children discriminated as common children by the experimental study which is progressed by the present program participate, their standard of intelligence and originality showed the improved effect of the similar standard to children factors not a little influencing on children's giftedness development process but she also developed the leading concrete study method for the children to overcome this by themselves. In this paper, the present writer will examine potential giftedness development program researched in Russia and discuss their theoretic background and concrete activity course, activity result. Through this, children's have the excellent abilities in various spheres, this writer will obtain significant suggestions to educate the potential gifted children who do not display their own potentialities and do not receive a favor from gifted children program.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.195-203
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• 2023

Purpose: This study intends to check validity of tools for awareness of Business Continuity through measurement and analysis on the sub factors of Business Continuity by employees of railway-related organizations. Method: Based on the preceding study, sub factors of the awareness of Business Continuity are divided into 7 and the total of 29 questions were delivered to employees of railway-related organizations for investigation and analysis through the online survey tool. Result: According to EFA result, the number of factors of awareness of Business Continuity based on the theoretical ground was reduced to 7 and the total coefficient of determination was 82.616%. Checking the questions by factor, all the questions were loaded as intended. Conclusion: Validity of measurement tools of Business Continuity whose sub factors are the Context of Organization, Leadership, Planning, Operation, Support, Performance evaluation, and Improvement for railway organizations were secured through the Exploratory Factor Analysis of this study. As for the further tasks, studies on the structural relationship among internalization of business continuity, organization effectiveness, learning support environment, etc are required.