• Journal of Electrical Engineering and Technology
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• 제10권2호
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• pp.699-707
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• 2015

Although digit character recognition has got a significant improvement in recent years, it is still challenging to achieve satisfied result if the data contains an amount of distracting factors. This paper proposes a novel digit character recognition approach using a multi-layer hierarchical model, Hybrid Restricted Boltzmann Machines (HRBMs), which allows the learning architecture to be robust to background distracting factors. The insight behind the proposed model is that useful high-level features appear more frequently than distracting factors during learning, thus the high-level features can be decompose into hybrid hierarchical structures by using only small label information. In order to extract robust and compact features, a stochastic 0-1 layer is employed, which enables the model's hidden nodes to independently capture the useful character features during training. Experiments on the variations of Mixed National Institute of Standards and Technology (MNIST) dataset show that improvements of the multi-layer hierarchical model can be achieved by the proposed method. Finally, the paper shows the proposed technique which is used in a real-world application, where it is able to identify digit characters under various complex background images.

• Child Health Nursing Research
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• 제24권1호
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• pp.109-118
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• 2018

Purpose: The purpose of this study was to develop a sexual abuse prevention education program for elementary school students. Methods: Orem's Self-Care Theory (1995) and Seels & Richey's ADDIE model (1994) for developing learning materials were applied to develop this program Results: The development progress of the program consisted of 5 distinct phases: analysis, design, development, implementation, and evaluation. The contents was classified into 6 categories: the definition of sexual abuse, how to deal with sexual abuse, the situational reaction, areas with a high risk for sexual abuse, related organizations, and a wrap-up quiz. The app was easily accessible for elementary school students. Conclusion: A sexual abuse prevention program using a hybrid app may be an effective way to reach elementary students, and further research for children of various ages is required.

• Smart Structures and Systems
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• 제14권6호
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• pp.1197-1220
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• 2014

Accurate actuator tracking is critical to achieve reliable real-time hybrid simulation results for earthquake engineering research. The frequency-domain evaluation approach provides an innovative way for more quantitative post-simulation evaluation of actuator tracking errors compared with existing time domain based techniques. Utilizing the Fast Fourier Transform the approach analyzes the actuator error in terms of amplitude and phrase errors. Existing application of the approach requires using the complete length of the experimental data. To improve the computational efficiency, two techniques including data decimation and frequency decimation are analyzed to reduce the amount of data involved in the frequency-domain evaluation. The presented study aims to enhance the computational efficiency of the approach in order to utilize it for future on-line actuator tracking evaluation. Both computational simulation and laboratory experimental results are analyzed and recommendations on the two decimation factors are provided based on the findings from this study.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제25권2호
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• pp.149-160
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• 2018

In this paper, we prove a strong convergence result under an iterative scheme for N finite asymptotically $k_i-strictly$ pseudo-contractive mappings and a firmly nonexpansive mappings $S_r$. Then, we modify this algorithm to obtain a strong convergence result by hybrid methods. Our results extend and unify the corresponding ones in [1, 2, 3, 8]. In particular, some necessary and sufficient conditions for strong convergence under Algorithm 1.1 are obtained.

• Nonlinear Functional Analysis and Applications
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• 제27권1호
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• pp.203-221
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• 2022

In this paper, we introduce new hybrid inertial contraction projection algorithms for solving variational inequality problems over the intersection of the fixed point sets of demicontractive mappings in a real Hilbert space. The proposed algorithms are based on the hybrid steepest-descent method for variational inequality problems and the inertial techniques for finding fixed points of nonexpansive mappings. Strong convergence of the iterative algorithms is proved. Several fundamental experiments are provided to illustrate computational efficiency of the given algorithm and comparison with other known algorithms

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.21-22
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• 2021

Early academic warning is considered as an inherent problem in education data mining. Early and timely concern and guidance can save a student's university career. It is widely assumed as a multi-class classification system in view of machine learning. Therefore, An accurate and precise methodical solution is a complicated task to accomplish. For this issue, we present a hybrid model employing rough set theory with a back-propagation neural network to ameliorate the predictive capability of the system with an illustrative example. The experimental results show that it is an effective early academic warning model with an escalating improvement in predictive accuracy.

• 공학교육연구
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• 제10권3호
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• pp.79-92
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• 2007

본 연구에서는 학습과정에 우수성, 유효성, 그리고 경제적인 효율성을 향상시키기 위해 웹기반 가상실험실과 웹기반 원격실험실을 적절하게 통합한 하이브리드 공학실험시스템을 개발하였다. 먼저 클라이언트/서버 분산환경을 설계하여 디지털 시스템과 전기전자회로 실험에 대한 웹기반 가상실험시스템을 개발하였다. 제안된 가상실험시스템은 개념학습세션, 가상실험세션, 평가세션등의 3개의 주요한 세션과 이들 주요세션을 유기적으로 통합하여 학습효율의 극대화를 달성하기 위한 관리시스템으로 구성되어 있다. 다음으로 본 연구에서는 가상실험세션 동안에 발생할 수 있는 현실감의 부족을 해결하기 위해 전기/전자회로를 실험할 수 있는 웹기반 원격 실험실을 구현하였다. 더욱이 간결하고 사용자가 친근하게 접근할 수 있는 설계기법을 사용하였기 때문에 많은 사용자들이 쉽게 원격실험실에 접속할 수 있으며, 고가의 실험장비가 실제 실험실에 구비되어 있지 않더라도 자기주도의 심화학습이 가능하다. 제안된 가상/원격실험시스템은 독립적으로 사용될 수도 있으나 학습효율을 향상시키기 위해서 웹상에서 두 개의 시스템을 통합하여 하이브리드 공학실험시스템을 개발하였다. 제안된 하이브리드 공학실험시스템은 학습자들에게 상호작용적인 학습환경을 제공하여 공학실험교육을 효율적으로 관리하는 새로운 접근방식이다.

• 한국컴퓨터정보학회논문지
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• 제22권8호
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• pp.93-100
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• 2017

After the fourth industrial revolution came along, SW education to improve creativity and problem-solving ability began in elementary, middle, and high schools first and then in universities as well positively; however, research on the curriculum or what it has to pursue is not yet enough. Here, this study will investigate the current status of SW education provided in software-oriented schools operated in universities and also given as cultural studies in general universities and examines the curriculum or the standard plan for education. In most schools, it is operated as similar subject names, and diverse methods are tried on- and off-line to cultivate computing thinking skills. Also, to study SW education programs that can be operated in the general cultural courses of universities and find out how to utilize them, this author suggests the goal setting, educational contents, and teaching methods for SW education. As follow-up tasks, it will be needed to apply the suggested programs to the field and find out new evaluation methods in order to cultivate creative and convergent persons of ability.

• Steel and Composite Structures
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• 제44권3호
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• pp.389-406
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• 2022

Recycling concrete construction waste is an encouraging step toward green and sustainable building. A lot of research has been done on recycled aggregate concretes (RACs), but not nearly as much has been done on concrete made with recycled aggregate. Recycled aggregate concrete, on the other hand, has been found to have a lower mechanical productivity compared to conventional one. Accurately estimating the mechanical behavior of the concrete samples is a most important scientific topic in civil, structural, and construction engineering. This may prevent the need for excess time and effort and lead to economic considerations because experimental studies are often time-consuming, costly, and troublous. This study presents a comprehensive data-mining-based model for predicting the splitting tensile strength of recycled aggregate concrete modified with glass fiber and silica fume. For this purpose, first, 168 splitting tensile strength tests under different conditions have been performed in the laboratory, then based on the different conditions of each experiment, some variables are considered as input parameters to predict the splitting tensile strength. Then, three hybrid models as GWO-RF, GWO-MLP, and GWO-SVR, were utilized for this purpose. The results showed that all developed GWO-based hybrid predicting models have good agreement with measured experimental results. Significantly, the GWO-RF model has the best accuracy based on the model performance assessment criteria for training and testing data.

• 공학교육연구
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• 제25권5호
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• pp.55-67
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• 2022

Distance learning has become an efficient tool and is being widely used at work and in school. This research presents the results of a project-oriented entrepreneurship course taught both in classroom and online for a period of 3 years before and after the pandemic caused by COVID-19. Despite the various challenges, the outcome demonstrated that the students were able to attain required knowledge and capabilities in the online learning environment. As such, this paper discusses effective ways to blend in distance learning components so that both instructors and students can benefit from Internet-based education technologies. In the future, both face-to-face and virtual project work and study are likely to get integrated into a 'hyflex' class, which is flexible, on-offline education.