• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.10a
• /
• pp.375-378
• /
• 2011

To learn a programming language as a text-based programming and a computer language suitable for a wide range, learner thinks it is very difficult. To represent a visual program is one way to solve this problem easily. The visual language such as Visual C++, Visual Basic and Delphi is represented an interface as the visual component and represented a component action as a text-based. The programmer is very difficult about the component action with text-based and dislikes programming. In this paper, so solve these problems, we use the UML for representing a logical thinking and supporting and object-oriented programming. We suggest for programming education method to replace text-based programming to LabVIEW OOP. In addition, we conduct a survey on how programming education and analyze the training effect.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.3
• /
• pp.122-129
• /
• 2024

Though programming education has been stressed recently, the elementary, middle, and high school students are having trouble in programming education. Most programming environments for them are based on block coding, which hinders them from moving to text coding. The traditional PC environment has also troubles such as maintenance problems. In this situation, mobile applications can be considered as alternative programming environments. This paper addresses the design and implementation of coding applications for mobile devices. As a prototype, a Scheme interpreter mobile app is proposed, where Scheme is used for programming courses at MIT since it supports multi-paradigm programming. The implementation has the advantage of not consuming the network bandwidth since it is designed as a standalone application. According to the benchmark result, the execution time on Android devices, relative to that on a desktop, was 131% for the Derivative and 157% for the Tak. Further, the maximum execution times for the benchmark programs on the Android device were 19.8ms for the Derivative and 131.15ms for the Tak benchmark. This confirms that when selecting an Android device for programming education purposes, there are no significant constraints for training.

• 제어로봇시스템학회:학술대회논문집
• /
• 2004.08a
• /
• pp.620-626
• /
• 2004

For general nonlinear processes, it is difficult to control with a linear model-based control method and nonlinear controls are considered. Among the numerous approaches suggested, the most rigorous approach is to use dynamic optimization. Many general engineering problems like control, scheduling, planning etc. are expressed by functional optimization problem and most of them can be changed into dynamic programming (DP) problems. However the DP problems are used in just few cases because as the size of the problem grows, the dynamic programming approach is suffered from the burden of calculation which is called as 'curse of dimensionality'. In order to avoid this problem, the Neuro-Dynamic Programming (NDP) approach is proposed by Bertsekas and Tsitsiklis (1996). To get the solution of seriously nonlinear process control, the interest in NDP approach is enlarged and NDP algorithm is applied to diverse areas such as retailing, finance, inventory management, communication networks, etc. and it has been extended to chemical engineering parts. In the NDP approach, we select the optimal control input policy to minimize the value of cost which is calculated by the sum of current stage cost and future stages cost starting from the next state. The cost value is related with a weight square sum of error and input movement. During the calculation of optimal input policy, if the approximate cost function by using simulation data is utilized with Bellman iteration, the burden of calculation can be relieved and the curse of dimensionality problem of DP can be overcome. It is very important issue how to construct the cost-to-go function which has a good approximate performance. The neural network is one of the eager learning methods and it works as a global approximator to cost-to-go function. In this algorithm, the training of neural network is important and difficult part, and it gives significant effect on the performance of control. To avoid the difficulty in neural network training, the lazy learning method like k-nearest neighbor method can be exploited. The training is unnecessary for this method but requires more computation time and greater data storage. The pH neutralization process has long been taken as a representative benchmark problem of nonlin ar chemical process control due to its nonlinearity and time-varying nature. In this study, the NDP algorithm was applied to pH neutralization process. At first, the pH neutralization process control to use NDP algorithm was performed through simulations with various approximators. The global and local approximators are used for NDP calculation. After that, the verification of NDP in real system was made by pH neutralization experiment. The control results by NDP algorithm was compared with those by the PI controller which is traditionally used, in both simulations and experiments. From the comparison of results, the control by NDP algorithm showed faster and better control performance than PI controller. In addition to that, the control by NDP algorithm showed the good results when it applied to the cases with disturbances and multiple set point changes.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.2617-2622
• /
• 2003

The pH neutralization process has long been taken as a representative benchmark problem of nonlinear chemical process control due to its nonlinearity and time-varying nature. For general nonlinear processes, it is difficult to control with a linear model-based control method so nonlinear controls must be considered. Among the numerous approaches suggested, the most rigorous approach is the dynamic optimization. However, as the size of the problem grows, the dynamic programming approach is suffered from the curse of dimensionality. In order to avoid this problem, the Neuro-Dynamic Programming (NDP) approach was proposed by Bertsekas and Tsitsiklis (1996). The NDP approach is to utilize all the data collected to generate an approximation of optimal cost-to-go function which was used to find the optimal input movement in real time control. The approximation could be any type of function such as polynomials, neural networks and etc. In this study, an algorithm using NDP approach was applied to a pH neutralization process to investigate the feasibility of the NDP algorithm and to deepen the understanding of the basic characteristics of this algorithm. As the global approximator, the neural network which requires training and k-nearest neighbor method which requires querying instead of training are investigated. The global approximator requires optimal control strategy. If the optimal control strategy is not available, suboptimal control strategy can be used even though the laborious Bellman iterations are necessary. For pH neutralization process it is rather easy to devise an optimal control strategy. Thus, we used an optimal control strategy and did not perform the Bellman iteration. Also, the effects of constraints on control moves are studied. From the simulations, the NDP method outperforms the conventional PID control.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.53 no.8
• /
• pp.136-144
• /
• 2016

In general, it is this variety of learning methods and teaching tools for embedded software development and deployment training. In this paper, I want to take advantage of the smart robot to learn creative problem-solving methods that are required in embedded software engineering education. It analyzes the effect of creative engineering education with the smart robot and presents for RSPM Engineering Embedded SW teaching methods to improve NCS education. Embedded SW engineering education in a more creative and smart robot, EV3 system was utilized to improve SW programming skills. In this paper, we utilize the EV3 system to the parish through the creative RSPM engineering courses through the survey and analysis of the impact level, interests and program skills and influence in embedded SW engineering education propose for successful embedded software programming skills potential.

• Journal of KIISE:Software and Applications
• /
• v.32 no.12
• /
• pp.1229-1237
• /
• 2005

Combining multiple classifiers has been actively exploited to improve classification performance. It is required to construct a pool of accurate and diverse base classifier for obtaining a good ensemble classifier. Conventionally ensemble learning techniques such as bagging and boosting have been used and the diversify of base classifiers for the training set has been estimated, but there are some limitations in classifying gene expression profiles since only a few training samples are available. This paper proposes an ensemble technique that analyzes the diversity of classification rules obtained by genetic programming. Genetic programming generates interpretable rules, and a sample is classified by combining the most diverse set of rules. We have applied the proposed method to cancer classification with gene expression profiles. Experiments on lymphoma cancer dataset, prostate cancer dataset and ovarian cancer dataset have illustrated the usefulness of the proposed method. h higher classification accuracy has been obtained with the proposed method than without considering diversity. It has been also confirmed that the diversity increases classification performance.

• The Journal of Korean Association of Computer Education
• /
• v.22 no.3
• /
• pp.89-99
• /
• 2019

The purpose of this study is to develop and validate assessment tools and to analyze their applicability in problem solving programming education for college students of teacher training college. For this purpose, we have redefined the area of computational thinking and detail elements from the viewpoint of problem solving programming, and developed paper type inspection and self - report questionnaires to evaluate them. The reliability and validity were analyzed by applying the evaluation tool developed for the actual college students of teacher training college. Through this study, it was confirmed that the paper type inspection and self - report questionnaires developed in this study can be used as a tool to computational thinking assessment.

• The Journal of Korean Association of Computer Education
• /
• v.11 no.2
• /
• pp.23-33
• /
• 2008

The computer education has not to remain literacy education but to change with object of training a member of real society which is logic in thinking, initiativeness in suit with the knowledge information-oriented society by teaching the theory of computer science. This study examined effects and applied by means of developing project- based programming teaching model for elementary students in a classroom when teachers instruct programming education This study is expected to contribute to make computer teaching methods better, by providing teachers with teaching models of computer programming education for elementary students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.10a
• /
• pp.477-480
• /
• 2012

In this study an programming instruction robot system using smart phone was designed and development. The system In this study is by direct programming using smart phone and program written using smart phone through a bluetooth module behavior is to be transferred to the robot control circuit. In this places, without the constraints of the robots in education and training means you can the robot's motion and, therefore, the results of students of programming through a smartphone is beyond the limits of the existing educational programming education.

• IE interfaces
• /
• v.10 no.1
• /
• pp.135-143
• /
• 1997

The importance of training for NC, CNC and Machining Center has been greatly increased. This paper presents implementation of a DNC(Direct Numerical Control) operating software for educational system. This system is able to connect 8-32 CNCs to Control PC with RS232 multi-port serial card. Therefore, it allows much efficiency in training even after costs are considered. The KISCO DNC S/W for above system includes various communication functions, communication parameters setting, program editor and user-friendly environment. This software was developed with C and Windows programming. It was proved in function and stability by iterative field tests.