• Journal of Korea Society of Industrial Information Systems
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• v.20 no.3
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• pp.1-9
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• 2015

Internet ethics is one of liberal arts courses in a college. We also have taught this subject for a number of years. In order to effectively communicate to students the internet ethics course, we gave some demonstration practice lectures by taking advantage of internet ethics related videos. Since the latest video presentation and its discussion were performed, it was helpful for students to recognize the internet ethical issues and concerns. However, simply video watching is short in the view of students' learning outcome improvement, since each student just watches the content passively in a class. Thus, we assign small student group consisting of 3 people make a video on internet ethics topic. This team project based class methodology is effective to each student who actively participates in the class and understands the concept which they directly make a video. We confirmed that classroom students' understanding for internet ethics has been increased by a survey of the class attendees.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3C
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• pp.125-132
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• 2005

This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNs). With GRNNs, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Futhermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10% improvement in classification error. The angular gaze accuracy is about 5°horizontally and 8°vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.1
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• pp.38-46
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• 2010

This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNs). With GRNNs, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Furthermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10% improvement in classification error. The angular gaze accuracy is about $5^{\circ}$horizontally and $8^{\circ}$vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

• Journal of the Korean Society of Earth Science Education
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• v.12 no.3
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• pp.252-260
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• 2019

The purpose of this study is to assist school science class by investigating effective Earth's rotation experiments of districts by school level. The researcher investigated or developed nine experiments for learning Earth's rotation, and conducted and discussed these experiments with 26 elementary school teachers. Each teachers chose an effective Earth's rotation experiment for the district and wrote the reason. As a result, elementary school teachers chose the experiment that is easy to prepare and to do. And elementary school students are interested in the experiments by conducting them on their own. Middle and high school teachers chose more difficult experiments that could be connected with other concepts. University teachers chose effective experiments based on application of knowledge, active exploration, computer literacy, and difficulty.

• Journal of KIISE:Software and Applications
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• v.36 no.10
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• pp.816-824
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• 2009

In the face space, face images due to illumination and pose variations have a nonlinear distribution. Active Appearance Models (AAM) based on the linear model have limits to the nonlinear distribution of face images. In this paper, we assume that a few clusters of face images are given; we build local AAMs according to the clusters of face images, and then select a proper AAM model during the fitting phase. To solve the problem of updating fitting parameters among the models due to the model changing, we propose to build in advance relationships among the clusters in the parameter space from the training images. In addition, we suggest a gradual model changing to reduce improper model selections due to serious fitting failures. In our experiment, we apply the proposed model to Yale Face Database B and compare it with the previous method. The proposed method demonstrated successful fitting results with strongly illuminated face images of deep shadows.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.2
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• pp.322-329
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• 2005

This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNS). With GRNNS, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. furthermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10$\%$ improvement in classification error. The angular gaze accuracy is about $5^{circ}$horizontally and $8^{circ}$vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.705-708
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• 2018

Among biometrics commercialized for security, iris recognition technology has the most excellent security for the probability of the match between individuals is the lowest. Current commercialized iris recognition technology has excellent recognition ability, but this technology has a fatal drawback. Without the user's active cooperation, it cannot recognize the iris correctly. To make up for this weakness, recent trend of iris recognition development mounts a non-volunteering, unconstrained method. According to this information, the objective of this research is developing a module that can identify people iris from a video acquired by high performance infrared camera in a range of 3m and in a involuntary way. For this, we import images from the video and find people's face and eye positions from the images using Haar classifier trained through Cascade training method. finally, we crop the iris by Hough circle transform and compare it with data from the database to identify people.

• The KIPS Transactions:PartC
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• v.12C no.1 s.97
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• pp.45-52
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• 2005

A damage scale of information property has been increasing rapidly by various illegal actions of information systems, which result from dysfunction of a knowledge society. Reinforcement in criminal investigation requests of network security has accelerated research and development of Intrusion Detection Systems(IDSs), which report intrusion-detection about these illegal actions. Due to limited designs of early IDSs, it is hard for the IDSs to cope with tricks to go around IDS as well as false-positive and false-negative trials in various network environments. In this paper, we showed that this kind of problems can be solved by using a Virtual Protocol Stack(VPS) that possesses automatic learning ability through an optimum-adaptive mobile code. Therefore, the enhanced IDS adapts dynamically to various network environments in consideration of monitored and self-learned network status. Moreover, it is shown that Insertion/Evasion attacks can be actively detected. Finally, we discussed that this method can be expanded to an intrusion detection technique that possesses adaptability in the various mixed network environments.

• Korean Journal of Childcare and Education
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• v.10 no.5
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• pp.299-319
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• 2014

This study explored the low-income mothers' view about the child rearing community, "Love of Children". The child rearing community, "Love of Children", was formed by the members who participated in Seesawswing parenting education since 2009. The participants of this study were 14 members of "love of Children" out of 51. Using content analysis, the data were analyzed. The results were as follows. First, mothers in the child rearing community, "Love of Children" were proud of graduating from Seesaw swing parenting education. The sense of accomplishment made them continuously participate in the child rearing community. Second, the members of the child rearing community, "Love of Children", did several activities, such as getting-along, sharing information, serving children and mothers in thelocal community, and learning about child caring. Third, mothers in the child rearing community, "Love of Children", thought that this group gave them opportunities to think reflectively about themselves and to experience meeting with others. Also, they thought that it gave them a sense of empowerment.

• Journal of The Korean Association of Information Education
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• v.12 no.2
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• pp.173-182
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• 2008

Teachers should actively maintain and improve their ICT competency in today's ever changing information society. A standardized system should now be developed to assist educators when choosing courses to improve their ICT competency. Previous ICT competency studies have only measured one's current ICT abilities rather than analyzing the skills necessary for educators to be successful in the educational system. This study developed an assessment tool to measure the ICT competency levels of CEOs who have the potential to be the decision makers in ICT education. In order to accomplish this, the jobs, duties, and tasks of educational CEOs were analyzed against the ICT Skills Standards for Teachers to determine which ICT skills are required by educational CEOs. Sixty-three questions were extracted from this analysis, guiding educational CEOs in the determination of their own ICT skills level.