• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.211-219
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• 2010

In this paper we used Scratch, educational programming language, to teach algorithm to elementary school students. Scratch provides a graphical programming interface, so elementary school students can learn easily and immediately check the results of programming that can hold students' interest. Therefore, development of training material from Scratch using the algorithm can look forward to the Bloom's Mastery Learning. Also worksheets by level will give us excellence in education, growth of the ability to solve problems and creativity will be a great asset for student's future learning.

• Journal of the Korea Computer Industry Society
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• v.6 no.5
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• pp.791-800
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• 2005

In this work, we developed educational contents for ASP programming efficiency. These contents are applied to the cognitive apprentice model, one of the teaching-learning models based in constructivism. Specifically the functions of these contents are as follows: Learners can learn from the lecturing video made of multimedia, they have practical programming training according to the lecturing video showing illustration executed similar to a practical environment, and they grasp level of their understanding by themselves as doing the assigned tasks. Therefore we can anticipate for learning effects, because the contents that we developed can induce learners to learn by themselves and interest them in programming practice.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.5
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• pp.400-405
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• 2001

This paper addresses an effective approach of training neural networks classifiers for credit card fraud detection. The proposed approach uses evolutionary programming to trails the neural networks classifiers based on maximization of the detection rate of fraudulent usages on some ranges of the rejection rate, loot minimization of mean square error(MSE) that Is a common criterion for neural networks learning. This approach enables us to get classifier of satisfactory performance and to offer a directive method of handling various conditions and performance measures that are required for real fraud detection applications in the classifier training step. The experimental results on "real"credit card transaction data indicate that the proposed classifiers produces classifiers of high quality in terms of a relative profit as well as detection rate and efficiency.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.5
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• pp.353-360
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• 2004

This paper considers reinforcement learning control with the self-organizing map. Reinforcement learning uses the observable states of objective system and signals from interaction of the system and environment as input data. For fast learning in neural network training, it is necessary to reduce learning data. In this paper, we use the self-organizing map to partition the observable states. Partitioning states reduces the number of learning data which is used for training neural networks. And neural dynamic programming design method is used for the controller. For evaluating the designed reinforcement learning controller, an inverted pendulum on the cart system is simulated. The designed controller is composed of serial connection of self-organizing map and two Multi-layer Feed-Forward Neural Networks.

• Journal of information and communication convergence engineering
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• v.11 no.4
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• pp.268-273
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• 2013

In this paper, we propose a document classification model using Web documents as a part of the training corpus in order to resolve the imbalance of the training corpus size per category. For the purpose of retrieving the Web documents closely related to each category, the proposed document classification model calculates the matching score between word features and each category, and generates a Web search query by combining the higher-ranked word features and the category title. Then, the proposed document classification model sends each combined query to the open application programming interface of the Web search engine, and receives the snippet results retrieved from the Web search engine. Finally, the proposed document classification model adds these snippet results as Web documents to the training corpus. Experimental results show that the method that considers the balance of the training corpus size per category exhibits better performance in some categories with small training sets.

• Computers and Concrete
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• v.19 no.6
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• pp.717-724
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• 2017

In this paper, four formulas are proposed via gene expression programming (GEP)-based models and regression analysis (RA) to predict the flexural strength ($f_s$) values of mortars containing different mineral admixtures that are ground granulated blast-furnace slag (GGBFS), silica fume (SF) and fly ash (FA) at different ages. Three formulas obtained from the GEP-I, GEP-II and GEP-III models are constituted to predict the $f_s$ values from the age of specimen, water-binder ratio and compressive strength. Besides, one formula obtained from the RA is constituted to predict the $f_s$ values from the compressive strength. To achieve these formulas in the GEP and RA models, 972 data of the experimental studies presented with mortar mixtures were gathered from the literatures. 734 data of the experimental studies are divided without pre-planned for these formulas achieved from the training and testing sets of GEP and RA models. Beside, these formulas are validated with 238 data of experimental studies un-employed in training and testing sets. The $f_s$ results obtained from the training, testing and validation sets of these formulas are compared with the results obtained from the experimental studies and the formulas given in the literature for concrete. These comparisons show that the results of the formulas obtained from the GEP and RA models appear to well compatible with the experimental results and find to be very credible according to the results of other formulas.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.89-97
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• 2010

Still there is a quality mismatch between required manpower of game companies and supplied one from universities in Korean game industry. The demand-oriented workforce training project is being implemented by KOCCA(Korea Creative Content Agency) for reducing the gap. This paper is focused on the development of training course for students of the game programming department in K University. This paper derived a education training course customized to online game industry by surveying 35 companies to find their needs for recruiting. Additionally some advice is suggested for successful education training. This paper not only will contribute to verify the required competence of people force in game industry but also offer a guideline for designing curriculum for game programmer.

• The Journal of the Acoustical Society of Korea
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• v.15 no.4E
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• pp.21-27
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• 1996

In this paper, we propose a discriminative training algorithm for the stochastic segment model (SSM) in continuous speech recognition. As the SSM is usually trained by maximum likelihood estimation (MLE), a discriminative training algorithm is required to improve the recognition performance. Since the SSM does not assume the conditional independence of observation sequence as is done in hidden Markov models (HMMs), the search space for decoding an unknown input utterance is increased considerably. To reduce the computational complexity and starch space amount in an iterative training algorithm for discriminative SSMs, a hybrid architecture of SSMs and HMMs is programming using HMMs. Given the segment boundaries, the parameters of the SSM are discriminatively trained by the minimum error classification criterion based on a generalized probabilistic descent (GPD) method. With the discriminative training of the SSM, the word error rate is reduced by 17% compared with the MLE-trained SSM in speaker-independent continuous speech recognition.

• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.243-249
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• 2010

2007 revised curriculum in primary schools by the educational programming should be carried out due to a number of practical constraints have been performed well. Elementary education program conducted by the EPL and Scratch Programming for haneunge was not long after the development of intuitive interface and blocks created using the syntax, contains multimedia elements, such as the benefits that can create artifacts due to the elementary education program is appropriate for. The researcher targeted the school for a semester, 4th year 12 weeks based on the results of scratch programming, programming by way of the Plan and the training and the results were analyzed. Scratch programming to increase student interest and enhance creativity and Formal help cultivate the scientific attitude can give you results. Scratch Programming for Elementary EPL Education is an effective lead of the students' prior knowledge or interest in sex by level of achievement because of the variation to allow individual learning needs to organize a program of study. And results in the production of sufficient thinking ahead and given time to discuss the purpose of education and programming will need to be alive.

• The Journal of Korean Association of Computer Education
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• v.19 no.6
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• pp.25-32
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• 2016

This study aims to suggest app programming education plan by analyzing the effects of app programming education using m-bizmaker on the creative problem solving ability in specialized high school students. Currently, The South Korean government is preparing to conduct SW education in primary and secondary schools. Developing smartphone apps that are familiar to students can be seen as a very effective tool of SW educational measures. In general, app development can only be achieved through specialized training on how to use the app programming language. So, many students think the app programming is difficult areas before creating apps because tired of learning how to an app programming language. As a result of applying app programming education using m-Bizmaker, which is one of the app authoring tools, to the class, it is desirable as an app programming education plan. And according to survey results, it has been proved that the app programming education plan using m-Bizmaker is effective to improve creative problem solving ability.