• Journal of Korean Home Economics Education Association
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• v.20 no.3
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• pp.85-105
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• 2008

The purpose of this study was to develop a narrative analytic scoring rubric through teacher-students negotiations, as an assessment of tasks using methods of experiment and practice for home economic(HE) in the middle school. In this study. an analytic rubric had been developed in the following three stages: In the first stage, all the things for rubric development were defined and prepared, by selecting tasks used for rubric application through a questionnaire survey, providing detailed directions on methods and procedures and needed items, and selecting a class for rubric negotiation and setting the development schedule. In addition, the method suggested by Ainsworth and Christinson(1998) in Student Generated Rubrics was used. In the second stage, performance criteria for tasks in terms of knowledge, skills, and attitude were developed, setting scoring framework and scales depending on assessment areas. Referring to selected scoring framework and assessment criteria, observable and assessable behaviors were used to describe rubric based on A, B, and C scale. Then, a primary rubric was developed through teacher-students negotiations, using rubrics made by group. In the last stage, the developed primary rubric was reviewed by an expert of HE education to test the validity. Moreover, the analysis to test the suitability of the final rubric assessment tool employed 46 copies of questionnaire collected from incumbent home economics teachers selected by way of random sampling mainly focusing on those teachers who were in the Master's degree program or completed the program at one university. As a result, the average of suitability of aa the rubrics were over 4.0 in th 5-point scale.

• The Journal of Korean Association of Computer Education
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• v.20 no.1
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• pp.75-86
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• 2017

E-learning has become one of the popular educational method in these day. In recognition of the growing e-learning, numerous researchers of S&T have utilized for the training aimed at enhancing competency. In the circumstances, previous studies have yield interesting results regarding certain factors that competency based programs may increase effectiveness of education. Therefore this research described here contributes to design competency modeling and education roadmap for human resource in S&T. The study uses survey, FGI, delphi technique, and expert workshop for selecting the main competencies. In particular, the results are including training roadmap of 5 level in each of two groups as researchers and S&T managers. These findings can be possible to develop customized programs and supported long-term career development path plan for human resource in S&T.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1399-1406
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• 2008

This study has been made to research effect of neurofeedback training on the Brain Quotient and baduk strength whose EEC data were obtained both before and after the neurofeedback training from 15th June, to 15th September in 2007. Brain waves were measured on the frontal lobes of subjects (30 baduk players - the experimental group 15 under neuroffedback training and the control group 15 subjects) and analyzed by calculating eight brain quotients characterizing behaviors of EEG rhythms effectively. The results of the analysis show that the experimental group has the higher indexes Attention Quotient(left) p=.041, (right)p=.007, Stress Quotient (left) p=.020, and Stress Quotient (right) p=.019 show statistically significant difference between two groups. The research data show that the experimental group have the higher average than the control group in Baduk strength examination p=.021 after the neuroffedback training. As the brain waves are adjusted by timeseries linear analysis, the brain function quotients can reflect the functional states of the brain.

• Journal of IKEEE
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• v.14 no.3
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• pp.224-231
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• 2010

Automatic detection of objects in images has been one of core challenges in the areas such as computer vision and pattern analysis. Especially, with the recent deployment of personal mobile devices such as smart phone, such technology is required to be transported to them. Usually, these smart phone users are equipped with devices such as camera, GPS, and gyroscope and provide various services through user-friendly interface. However, the smart phones fail to give excellent performance due to limited system resources. In this paper, we propose a new scheme to improve object recognition performance based on pre-computation and simple local features. In the pre-processing, we first find several representative parts from similar type objects and classify them. In addition, we extract features from each classified part and train them using regression functions. For a given query image, we first find candidate representative parts and compare them with trained information to recognize objects. Through experiments, we have shown that our proposed scheme can achieve resonable performance.

• School Mathematics
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• v.9 no.1
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• pp.1-12
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• 2007

The purpose of this study is searching for the problems and alternatives on teaching for repeating decimal. To accomplish the purpose, we have analyzed the fifth, sixth, and seventh Korean national curriculums, textbooks and examinations for the eighth grade about repeating decimal. W also have analyzed textbooks from USA to find for alternatives. As the results, we found followings. First, the national curriculums blocked us verifying the relation between rational number and repeating decimal. Second, definitions of terminating decimal, infinite decimal, and repeating decimal are slightly different in every textbooks. This leads seriously confusion for students examinations. The alternative on these problems is defining the terminating decimal as following; decimal which continually obtains only zeros in the quotient. That is, we have to avoid the representation of repeating decimal repeated nines under a declared system which apply an infinite decimal continually obtaining only zeros in the quotient. Then, we do not have any problems to verify the following statement. A number is a rational number if and only if it can be represented by a repeating decimal.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.525-534
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• 2012

The purpose of this study is to increase the employment rate of graduates in the fields of the S/W and H/W. In order to seek employment in various major fields of the S/W and H/W, firstly, this paper proposes the educational case study that increases the concern about employment and develops learner's ability in the unfavorable major fields. Secondly, this paper presents the future driving improvement for the employment rate on the basis of the department's special characteristics and the actual circumstances in the fields of the S/W and H/W. This paper conducts the surveys of each 40 seniors majoring in S/W and H/W respectively in order to measure the understanding of probability/statistics which has been used as tools in the unfavorable major fields. With the purpose of increasement on the employment rate, the paper is designed to have 3 steps, that is, a preliminary questionnaire for employment preference, major courses connecting probability/statistics and a post-questionnaire for employment preference, which eventually investigates the changes of the perception on employment. This paper is verified by the multiple regression analysis to approve the effect on improving learner's academic achievement.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.1-8
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• 2022

In this paper, we propose a fire detection system based on CCTV images using an object tracking technology with YOLOv4 model capable of real-time object detection and a DeepSORT algorithm. The fire detection model was learned from 10800 pieces of learning data and verified through 1,000 separate test sets. Subsequently, the fire detection rate in a single image and fire detection maintenance performance in the image were increased by tracking the detected fire area through the DeepSORT algorithm. It is verified that a fire detection rate for one frame in video data or single image could be detected in real time within 0.1 second. In this paper, our AI fire detection system is more stable and faster than the existing fire accident detection system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1655-1662
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• 2021

The purpose of this study is to draw implications through a case study on the curriculum operation of a professor who operated a programming subject as a PBL(project-based learning) method in an untact situation due to COVID-19. A survey was conducted for first-year freshmen students to determine their learning condition before project implementation. Based on the results of the questionnaire, individual interviews were conducted to identify the needs for education, and then, basic grammar for project completion and lectures that segmenting each stage of the project were composed. Repeated learning was induced through weekly quizzes, and feedback was given by giving time in advance until the project deadline. 23 students (40 students in total) completed the project. The remaining 17 students took the exam but did not complete the project. The purpose of this study is significant in that it investigated whether a project can be carried out through instructional design, execution, and interaction while operating a programming subject through PBL in the COVID-19 environment.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.61-68
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• 2022

In recent years, malicious codes are being produced using the developing information and communication technology, and it is insufficient to detect them with the existing detection system. In order to accurately and efficiently detect and respond to such intelligent malicious code, an intelligent detection model is required, and in order to maximize detection performance, it is important to train with the main characteristic information set of the malicious code. In this paper, we proposed a technique for designing an intelligent detection model and generating the data required for model training as a set of key feature information through transformation, dimensionality reduction, and feature selection steps. And based on this, the main characteristic information was classified by malicious code. In addition, based on the classified characteristic information, we derived common characteristic information that can be used to analyze and detect modified or newly emerging malicious codes. Since the proposed detection model detects malicious codes by learning with a limited number of characteristic information, the detection time and response are fast, so damage can be greatly reduced and Although the performance evaluation result value is slightly different depending on the learning algorithm, it was found through evaluation that most malicious codes can be detected.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.6
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• pp.981-987
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• 2017

Jeju Island is a volcanic island which has a large permeability. Groundwater is a major water resources and its proper management is essential. Especially, there is a multilevel restriction due to the groundwater level decline during a drought period to protect sea water intrusion. Preliminary countermeasure using long-term groundwater level prediction is necessary to use agricultural groundwater properly. For this purpose, the monthly groundwater level prediction technique by Artificial Neural Network model was developed and applied to the representative monitoring wells. The monthly prediction model showed excellent results for training and test periods. The continuous groundwater level prediction model also developed, which used the monthly forecasted values adaptively as input data. The characteristics of groundwater declines were analyzed under extreme cases without precipitation for several months.