• The KIPS Transactions:PartB
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• v.14B no.6
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• pp.401-406
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• 2007

This study discusses the development of a u-Health care system that can detect quickly and cope actively with emergent situations of chronic disease patients who lead everyday life. If a patient's emergent situation is detected by personal health care host(PHCH), which is composed of acceleration and vibration sensors, GPS, and CDMA communication module, a text message on the patient's current location is transmitted to the hospital and the guardian's mobile terminal so that they can cope with the situation immediately. Especially, the system analyzes data from sensors by using neural network and determines emergent situations such as syncope and convulsion promptly. The exact location of patients can also be found in the electronic map by using GPS information. The experiments show that this system is very effective to find emergencies promptly for chronic disease patients who cannot take care of themselves and it is expected to save many lives.

• Journal of Korea Multimedia Society
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• v.7 no.5
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• pp.640-647
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• 2004

This paper presents a method that, by using a tree splay, dynamically modifies the fixed table of a VLC used in the standards and thus improves the performance of a video encoder. The previous standards, which drew up tables by using a limited number of images, were not able to accommodate the characteristics of new image input. The new method proposed in this paper employs the probabilistic characteristics of an image input, thus making encoding more effective. Furthermore, the present study also proposes a method to regulate the weight in order that the accumulated probabilities can make a dominant symbol emerge, while keeping the probability adequate and thus maximally accommodating the characteristics of the image input. The results from applying the proposed method to a variety of image sequences showed that, while various types of images yielded slightly different results, it improved the performance up to a maximum of 0.23㏈, compared to MPEG-4 standard.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.395-400
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• 2011

In this paper, we propose an study of the facial emotion recognition considering the dynamical variation of emotional state in facial image sequences. The proposed system consists of two main step: facial image based emotional feature extraction and emotional state classification/recognition. At first, we propose a method for extracting and analyzing the emotional feature region using a combination of Active Shape Model (ASM) and Facial Action Units (FAUs). And then, it is proposed that emotional state classification and recognition method based on Hidden Markov Model (HMM) type of dynamic Bayesian network. Also, we adopt a Harmony Search (HS) algorithm based heuristic optimization procedure in a parameter learning of HMM in order to classify the emotional state more accurately. By using all these methods, we construct the emotion recognition system based on variations of the dynamic facial image sequence and make an attempt at improvement of the recognition performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.587-592
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• 2019

The importance of software technologies is becoming more prominent because of the competition to secure a competitive edge in software, which has been intensified since the emergence of smartphones and IoT. Thus, to assure the initiative in the global software industry and to foster superior human resources, there is a growing need for outstanding software development professionals. This paper analyzes the factors that affect the basic perception of software, the need for software development, and the enhancement of software coding ability based on a compulsory software class, which aims to increase the workforce of the converged software industry. The analysis shows that among other technical practices to enhance coding ability, learner-centered technical contents showed the most positive effect regarding the recognition and motive of development and are an essential factor in improving coding skills. The findings indicate that the need for program development and active involvement in the development of the program are the most important factors in improving the practical ability. The analysis presents meaningful results by suggesting a methodology for improving software development capabilities.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.9
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• pp.729-738
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• 2021

Feedback flow control using an artificial neural network was numerically investigated for NACA0015 Airfoil to suppress flow separation on an airfoil. In order to achieve goal of flow control which is aimed to reduce the size of separation on the airfoil, Blowing&Suction actuator was implemented near the separation point. In the system modeling step, the proper orthogonal decomposition was applied to the pressure field. Then, some POD modes that are necessary for flow control are extracted to analyze the unsteady characteristics. NARX neural network based on decomposed modes are trained to represent the flow dynamics and finally operated in the feedback control loop. Predicted control signal was numerically applied on CFD simulation so that control effect was analyzed through comparing the characteristic of aerodynamic force and spatial modes depending on the presence of the control. The feedback control showed effectiveness in pressure drag reduction up to 29%. Numerical results confirm that the effect is due to dramatic pressure recovery around the trailing edge of the airfoil.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.257-264
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• 2021

As online classes started in 2020 due to the COVID-19 outbreak, the use of online content in classes such as e-books, Google tools, and videos has increased. Accordingly, the need for textbooks made by teachers is emerging so that students can learn effectively even in an online environment. In addition, as online classes and student-participatory classes using various online contents expand, teachers are actively using online content-using textbooks as well as book-type textbooks. In other words, it is a time not only to prepare for online classes, but to establish the concept of online textbooks and to think about the system and direction of current textbooks in order to transform into a future education system. Therefore, in this paper, the basic data for establishing the concept of online content utilization textbooks that are currently being introduced have been analyzed and theoretical contents for the development direction of future textbooks to be developed in the future are explored.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.415-422
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• 2022

This study requires a new paradigm for universities in line with the global pandemic and the 4th industrial revolution. Accordingly, we propose an educational plan for the H university online graduate school in Korea. As a research method, the implications of scholars and experts on future education were synthesized, and the cases of overseas universities using it were analyzed to propose an online graduate school education plan. As a result of the study, online graduate school needs diversity as a venue for providing new opportunities as lifelong education, and to realize this, they use a microcredit. Blockchain technology is introduced so that microcredit can be transparently verified. In addition, to correspond to various convergence major programs and further develop them, problem-solving-oriented teaching methods enhance students' convergent skills as well as active learning and interaction. More detailed curriculum research at online graduate schools is needed in the future, and we hope that you will contribute to the development of online graduate school education based on this study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.351-353
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• 2021

In recent years, while the demand for electricity is rapidly increasing, fire accidents due to negligence in management of switchboards. In particular, switchboards for industrial and electrical resource control can cause serious problems. Thus, for the safety management of power switchboard, a secondary response is conducted to control firing when a specific condition value is satisfied, but in this case, it is highly likely that a considerable amount of time has elapsed after firing. In this paper, we propose a method to acquire big data for the development of a switchboard temperature and power control system that can actively respond to the current situation by monitoring and learning the temperature of the switchboard's busbar connection in real time. Specifically, a method for periodically acquiring and managing data such as temperature and power from various scattered sensors is proposed.

• Korean Journal of Culture and Social Issue
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• v.10 no.spc
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• pp.69-86
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• 2004

A review of literature revealed that damaged self-confidence of men as social agents may be the primary, if not proximal, cause of domestic violence. Accumulated damages in social confidence and self-assurance may be moderated by action repertoire acquired during childhood, and mediated by adulthood circumstances such as marital discords and the lack of social support to result in the typical cycle of violence and subsequent feeling of remorse. The present treatments for the domestically violent men in Korea seem to be ineffective to reduce the number of incidents in the society because the treatments are viewed as punishments by the men, damage their social confidence further by stigmatizing them in the community, and destroy their social resources and support systems. It was suggested in this paper to reduce the role of law enforcement and correctional administration to rehabilitate the currently violent men. At the same time, it was also suggested for the Korean court to implement the paradigm of Therapeutic Jurisprudence in handling domestic violence cases. It was argued that the court should take active roles as a healing and rehabilitating agent by cooperating with non-government community establishments such as hospitals, universities and self-help organizations. The reasons and implications of those suggestions were discussed in detail.

• Journal of The Korean Association For Science Education
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• v.28 no.6
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• pp.603-617
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• 2008

Inspired by the socio-cultural perspective on teaching and learning science, we have explored how the teacher and students interact with one another and develop meanings in science classrooms. Data came from four 10th grade science classrooms, and video recordings and verbatim transcripts of the lessons were analyzed. Focus of the analysis was on the participation structures as well as the possibility of developing the space for hybrid meaning making. The participation structures identified were mainly teacher-led, and students rarely took an active stance to initiate an opportunity for generating new meanings. However, some participation structures had the potential to develop a new discursive space in which hybrid meaning can be constructed through negotiation between participants. Implications for future research and more desirable educational practices were discussed based on the result.