• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1993.10a
• /
• pp.488-492
• /
• 1993

This paper proposes a new approach to the optimization method of a blending process with neural network. The method is based on the error backpropagation learning algorithm for neural network. Since the neural network can model an arbitrary nonlinear mapping, it is used as a system solver. A fuzzy membership function is used in parallel with the neural network to minimize the difference between measurement value and input value of neural network. As a result, we can guarantee the reliability and stability of blending process by the help of neural network and fuzzy membership function.

• Korean Journal of Computational Design and Engineering
• /
• v.16 no.4
• /
• pp.249-259
• /
• 2011

In this paper we present our work on the parameterized construction of virtual drivers' reach motion to seat belt, by using motion capture data. A user can generate a new reach motion by controlling a number of parameters. We approach the problem by using multiple sets of example reach motions and learning the relation between the labeling parameters and the motion data. The work is composed of three tasks. First, we construct a motion database using multiple sets of labeled motion clips obtained by using a motion capture device. This involves removing the redundancy of each motion clip by using PCA (Principal Component Analysis), and establishing temporal correspondence among different motion clips by automatic segmentation and piecewise time warping of each clip. Next, we compute motion blending functions by learning the relation between labeling parameters (age, hip base point (HBP), and height) and the motion parameters as represented by a set of PC coefficients. During runtime, on-line motion synthesis is accomplished by evaluating the motion blending function from the user-supplied control parameters.

• The Journal of the Korea Contents Association
• /
• v.10 no.3
• /
• pp.72-79
• /
• 2010

A EAARS(Electronic Attendance-Absence Recording System) is the important LSS(Learning Support System) for blending a on-line learning in the face-to-face classroom. However, the EAARS based on the smart card can not identify a real owner of the checked card. Therefore, we develop the CS(Client-Sever) system that manages the attendance-absence checking automatically, which is used the self-organizing neural network for the face recognition. A client system creates the ID file by extracting the face feature, a server system analyzes the ID file sent from client system, and performs a student identification by using the Recognized weight file saved in Database. As a result, The proposed CS EAARS shows the 92% efficiency in the CS environment that includes the various face image database of the real classroom.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.27 no.1
• /
• pp.8-14
• /
• 2023

The existing self-supervised learning-based CutPaste generated synthetic data by cutting and attaching specific patches from normal images and then performed anomaly detection. However, this method has a problem in that there is a clear difference in the boundary of the patch. NSA for solving these problems have achieved higher anomaly detection performance by generating natural synthetic data through Poisson Blending. However, NSA has the disadvantage of having many hyperparameters that need to be adjusted for each class. In this paper, synthetic data similar to normal were generated by a simple method of making the size of the synthetic patch very small. At this time, since the patches are so locally synthesized, models that learn local features can easily overfit synthetic data. Therefore, we performed anomaly detection using gMLP, which learns global features, and even with simple synthesis methods, we were able to achieve higher performance than conventional self-supervised learning techniques.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.45 no.2
• /
• pp.271-284
• /
• 2021

This study presents the educational utility of blended learning by analyzing the effectiveness of learning after class by blending team project learning and smart device app-based learning methods. Qualitative analysis and survey analysis were conducted and the results were as follows. First, team project activities based on task resolution were conducted freely through detailed activities such as sharing roles, planning meetings, and coordinating opinions. Team activities were carried out with respect and consideration, team member bonding, and a sense of responsibility. Second, the smart device app is recognized as a medium for work and communication, and fast feedback has been made, making it highly impactful on classroom activities. Third, in terms of learning satisfaction, most learners showed an interest in the course and were satisfied with the project results. The smart device app was used as a learning and communication medium for personal and team activities and was analyzed as a blended method applicable to classes that conduct practical activities as an efficient tool to further activate project activities.

• Journal of East-West Nursing Research
• /
• v.16 no.2
• /
• pp.96-104
• /
• 2010

Purpose: This research is a case study on a problem-based learning (PBL) model with blended learning in a nursing college. Methods: The target students were nursing sophomores in a nursing college who agreed to participate in a blended learning course and to be subjects in this study for 15 weeks. The questionnaires developed by Baek (2003) and Lee (2007) were modified and applied to collect data. Results: The students' satisfaction with the blending learning was the highest in the item "Online community activities were helpful in enhancing knowledge." The level of satisfaction with PBL was the highest in the item "It was helpful to listen my classmates' opinions rather than thinking all by myself." Conclusion: This study is suggestive that blended learning is effective to improve learning satisfaction by reinforcing practicality of face-to-face study to online learning. Various learning methods based on students' demands and preferences should be applied in nursing education.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.571-574
• /
• 2023

애니메이션은 주어진 키프레임(key frame)에 맞추어 움직이기 때문에, 다른 객체와 상호작용할 때 상대편 물체의 위치나 방향을 애니메이션에 맞추어 변환해야 한다. 이 논문에서는 모방학습으로 애니메이션을 학습하고, 모션 블렌딩(motion blending) 기법으로 객체 간 상호작용을 학습하여 새로운 애니메이션을 생성하는 방법을 제안한다. 에이전트(agent)는 오브젝트의 상태를 관측하고 주어진 모션들을 블렌딩하는 방법으로 다양한 행동을 취하고 목적에 대한 보상을 받는다. 에이전트가 행동하는 과정에서 모션 블렌딩 비율에 대한 가중치를 계산하는 함수를 설계하고, 생성되는 애니메이션이 사람이 취할 수 있는 동작에 가깝도록 회전 각도 clamping 함수와 보상 시스템을 설계하여 반영한다. 모방학습 기반 모션 블렌딩 기법은 객체의 변화에 상호작용하는 애니메이션을 기존 강화학습 기반 애니메이션 생성 기법보다 적은 학습량으로 생성할 수 있음을 확인했다.

• Journal of the Korean Society of Earth Science Education
• /
• v.8 no.1
• /
• pp.1-11
• /
• 2015

The purpose of this study was to find out about the awareness and demands of pre-service and in-service elementary school teachers on STEAM education. For the purpose of this study, researcher administered survey questionnaires were conducted for 160 pre-service teachers and 191 in-service teachers who were sampled by convenience sampling method. The results were as follows. On the awareness and demand for knowledge and necessity on STEAM, first, on the understanding related knowledge, most respondents have heard of STEAM education(97.7%), and well aware of STEAM(91.4%) through the teacher training course(80.3%). Second, on the necessity, 60.4% respondents were located in "very necessary" and "necessary" entry. On the awareness and demand for applying STEAM, first, on the reasons of applying STEAM was to help the cognitive and affective development. Also 67.3% respondents would like to apply STEAM on their science class. The reason was necessity on STEAM, and the most suitable subject for blending with science of applying to STEAM was technology, on the other hand the most difficult subject was art. Second, on the effect of STEAM, most respondents had positive awareness on the all categories. Third, on the purpose of science education, also had positive awareness on the all categories of the purpose of science education. On the awareness and demand for blending ways of STEAM and improvements, first, on the blending ways of STEAM, topic centered blending related to real life had a majority. Second, on the improvements, to improve the STEAM education, many respondents pointed out the development of teaching and learning STEAM program and dissemination of related resources.

• Smart Media Journal
• /
• v.12 no.10
• /
• pp.9-18
• /
• 2023

Harvest forecasting is the great demand of multiple aspects like temperature, rain, environment, and their relations. The existing study investigates the climate conditions and aids the cultivators to know the harvest yields before planting in farms. The proposed study uses federated learning. In addition, the additional widespread techniques such as bagging classifier, extra tees classifier, linear discriminant analysis classifier, quadratic discriminant analysis classifier, stochastic gradient boosting classifier, blending models, random forest regressor, and AdaBoost are utilized together. These presented nine algorithms achieved exemplary satisfactory accuracies. The powerful contributions of proposed algorithms can create exact harvest forecasting. Ultimately, we intend to compare our study with the earlier research's results.

• The Journal of Korean Association of Computer Education
• /
• v.12 no.5
• /
• pp.49-62
• /
• 2009

The Extra-Curriculum in The Air and Correspondence High School(ACHS), which play a role as an organization of lifelong learning, has not been operating properly for lack of appropriate circumstances and also educational research. So this research applied the Extra-Curriculum on-line contents to ACHS as an example to search for the effective operation solution in ACHS Extra-Curriculum, and derived the implications which are necessary to class operation. According to the implications which are obtained by the analysis of the application result, selected the five main areas in Blended-Learning which are necessary to the operation of ACHS Extra-Curriculum, and developed the direct instruction model by blending the teaching-learning method and strategy which is suitable for the ACHS Extra-Curriculum. Finally, based on these research results, this research developed the Blended-Learning Teaching Model for ACHS Extra-Curriculum by reflecting the peculiarity of ACHS student and characteristics of Extra-Curriculum contents.