• Journal of Bio-Environment Control
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• v.16 no.3
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• pp.210-216
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• 2007

A study was conducted to find mechanism and spray characteristics of a mini-sprinkler with downward spray to develop a new design type to be able to prevent drop water. The experiments were executed in a plastic greenhouse to minimize the effect of the wind. Data was collected at five different operation pressures and at 4 different raiser heights. Spray characteristics of the sprinkler such as effective radius, effective area, mean application depth, absolute maximum application depth, effective maximum application depth and coefficient of variation were determined. In order to analyze the mechanism and packing supporter of sprinkler, the numerical simulation using ABAQUS was performed. The optimum pressure for preventing drop water was determined.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.57-64
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• 2014

This study aims to suggest lesson plans and evaluation methods for primary pre-service teachers by reviewing the concept of computational thinking(CT) skills and its sub components. To pursue this goal, a literature review has been conducted in regards to CT and the effectiveness of programming courses. In addition, the Scratch educational programming functions were analyzed yielding six CT elements(data representation, problem decomposition, abstraction, algorithm & procedures, parallelization, simulation). With these six elements, one semester lesson plans for 15 weeks that represent the connections with six CT elements were designed. Based on the PECT(Progression of Early Computational Thinking) model and the CT framework a rubric to evaluate learners' proficiency levels(basic, developing, proficient) revealed in their final projects was developed as well. Upon a follow-up empirical study, the lesson plans and the rubric suggested in the current study are expected to be utilized in teachers' colleges.

• Journal of IKEEE
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• v.22 no.1
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• pp.53-60
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• 2018

Smart farm dissemination by continuously developing IoT is one of the best solution for decreasing labor in Korea farming area because of ageing. For this reason, the number of Smart farm in Korea is being increased. The Smart farm can control farming environment such as temperature for human. Specially, The important thing is controlling proper temperature for farming. In order to control the temperature, legacy smart farms are usually using pans or air conditioners which can control the temperature. However, those devices result in increasing production cost because the electric power consumption is high. For this reason, we propose a smart farm which can predict the proper temperature after an hour by using Deep learning to minimize the electric power consumption by controlling window instead of pans or air conditioners. We can see the 83% of electric power saving by means of the proposed smart farm.

• Journal of the Korea Society of Computer and Information
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• v.4 no.1
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• pp.62-67
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• 1999

The neural network is a static network that consists of a number of layer: input layer, output layer and one or more hidden layer connected in a feed forward way. The popularity of neural network appear to be its ability of learning and approximation capability. The Elman Neural Network proposed the J. Elman, is a type of recurrent network. Is has the feedback links from hidden layer to context layer. So Elman Neural Network is the better performance than the neural network. In this paper. we propose the Modified Elman Neural Network. The structure of a MENN is based on the basic ENN. The recurrency of the network is due to the feedback links from the output layer and the hidden layer to the context layer. In order to certify the usefulness of the proposed method, the MENN apply to the X-Y cartesian tracking system. Simulation shows that the proposed MENN method is better performance than the multi layer neural network and ENN.

• Journal of Engineering Education Research
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• v.2 no.1
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• pp.10-16
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• 1999

In this paper, we developed the internet-based educational software package (DVLab) for design and virtual experiment of the digital logic circuits. The DVLab consists of the LogicSim module for design and simulation of digital combinational/sequantial logic circuits, micro-controller application circuits and the BreadBoard module for virtual experiment and the Theory module for lecture and the Report/ReportChecker module and some other utility modules. All developed modules can be run as application programs as well as applets in the Internet. The LogicSim and the BreadBoard support real time clock function, output verification function on the designed circuits, trace function of logic values, copy-protection function of designed circuits and provide various devices including logic gates, TTLs, LED, buzzer, and micro-controller. The educational model of digital logic circuit design and experiment using the DVLab is also presented in this paper.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.57-68
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• 2015

Since the entering SW-centered society in which people make the best use of SW in order to express their own personal ideas or to solve problems, the significance of SW education has been emphasized. It is generally known that storytelling provides motivational and contextual environments. This study conducted an experimental research to find out how Aesop's fables-applied SW educational program would influence computational thinking. Of these students who had participated in an SW educational camp on every Saturday for a total of 6 weeks, the experimental group learned on basic concepts of Scratch programming as working on Aesop's fables and they were led to diverse SW activities such as stories, games, simulations arts, and others. After that, the study carried out a comparison research in relation to the groups' SW concepts, SW implementation and attitudes toward SW education. The result shows that the experimental group came up with higher levels of SW concepts, implementation and positive attitude toward SW education.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.4
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• pp.65-73
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• 1997

This paper proposes a new method of the structure pruning of dynamic recurrent neural networks (DRNN) using evolutionary computations. In general, evolutionary computations are population-based search methods, therefore it is very useful when several different properties of neural networks need to be optimized. In order to prune the structure of the DRNN in this paper, we used the evolutionary programming that searches the structure and weight of the DRNN and evolution strategies which train the weight of neuron and pruned the net structure. An addition or elimination of the hidden-layer's node of the DRNN is decided by mutation probability. Its strategy is as follows, the node which has mhnimum sum of input weights is eliminated and a node is added by predesignated probability function. In this case, the weight is connected to the other nodes according to the probability in all cases which can in- 11:ract to the other nodes. The proposed pruning scheme is exemplified on the stabilization and position control of the inverted-pendulum system and visual servoing of a robot manipulator and the effc: ctiveness of the proposed method is demonstrated by numerical simulations.

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1201-1208
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• 2010

In teaching probability and statistics classes, we should increase efforts to develop examples that enhance teaching methodology in delivering more meaningful knowledge to students. Sports is one field that provides a variety of examples and World Cup Soccer events are a treasure house of many interesting problems. Teaching, using examples from this field, is an effective way to enhance the interest of students in probability and statistics because World Cup Soccer is a matter of national interest. In this paper, we have suggested several examples pertaining to counting the number of cases and computing probabilities. These examples are related to many issues such as possible scenarios in the preliminary round, victory points necessary for each participant to advance to the second round, and the issue of grouping teams. Based on a simulation using a statistical model, we have proposed a logical method for computing the probabilities of proceeding to the second round and winning the championship for each participant in the 2010 South Africa World Cup.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.29 no.1
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• pp.68-76
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• 2018

Target prioritization is necessary for a multifunction radar(MFR) to track an important target and manage the resources of the radar platform efficiently. In this paper, we consider an artificial neural network(ANN) model that calculates the priority of the target. Furthermore, we propose a neural network learning algorithm based on the steepest descent method, which is more suitable for target prioritization by combining the conventional gradient descent method. Several simulation results show that the proposed scheme is much more superior to the traditional neural network model from analyzing the training data accuracy and the output priority relevance of the test scenarios.

• 대한공업교육학회지
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• v.34 no.2
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• pp.42-61
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• 2009

This study was to develop improving vocational basic skill program and content which are basic of instruction-learning ability for the vocational education substantiality. To pursue this goal, 'interpersonal relation capability' among vocational basic skills was developed through the research methodology and procedure. The interpersonal relation capability was selected as one of vocational basic skill areas when it was more effective by e-learning contents through literature review, expert conference etc. The interpersonal relation capability can be harmony with persons under performing business tasks. In this study, interpersonal relation capability was programmed a interpersonal scheme, a cooperative capability, a leadership capability, a conflict management, negotiation capability, a customer service capability. Especially this program was developed as a form of e-Learning contents focusing on improving problem solving under real case using multimedia strategies such as movies, simulation, game.