• Journal of The Korean Association For Science Education
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• v.34 no.2
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• pp.107-122
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• 2014

The purpose of this study is to investigate trends in research studies on scientific argument and writing in Korea. 118 research studies published from 2004 to 2013 have been collected and analyzed. Many of the research studies focused on developing teaching strategies, analyzing contents of scientific argument and writing, and effects on student learning. More than half of the studies were conducted with elementary and middle school students while studies with pre-service, in-service teachers or high school students were relatively rare. Most research studies were conducted within regular school hour context and participants were given relevant information/education prior to argument and writing activities. Many research have analyzed student growth in scientific attitudes and we would suggest that further studies should investigate student growth in scientific concepts, scientific inquiry, and critical thinking. The structure and process of argument or the content and form of writing have been analyzed. The quality of argument and scientific concepts embedded in argument and writing should be investigated more in future researches.

• The Journal of the Acoustical Society of Korea
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• v.21 no.6
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• pp.552-558
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• 2002

Recently, based on the human speech recognition (HSR) model of Fletcher, the multi-band speech recognition has been intensively studied by many researchers. As a new automatic speech recognition (ASR) technique, the multi-band speech recognition splits the frequency domain into several sub-bands and recognizes each sub-band independently. The likelihood scores of sub-bands are weighted according to reliabilities of sub-bands and re-combined to make a final decision. This approach is known to be robust under noisy environments. When the noise is stationary a sub-band SNR can be estimated using the noise information in non-speech interval. However, if the noise is non-stationary it is not feasible to obtain the sub-band SNR. This paper proposes the inverse sub-band distance (ISD) weighting, where a distance of each sub-band is calculated by a stochastic matching of input feature vectors and hidden Markov models. The inverse distance is used as a sub-band weight. Experiments on 1500∼1800㎐ band-limited white noise and classical guitar sound revealed that the proposed method could represent the sub-band reliability effectively and improve the performance under both stationary and non-stationary band-limited noise environments.

• Korean Journal of Food Science and Technology
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• v.47 no.6
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• pp.779-784
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• 2015

This study was conducted to investigate the effect of herbs on memory improvement by focusing on their cholinergic functions in Tg2576 mice. Seven herbs were used to obtain extracts by using alcohol and water. In screening test for cholinergic activities of the extracts, acetylcholinesterase (AChE) activity was highly inhibited in Oenanthe javanica alcohol extract (OJAE, 18.76%) as compared with the others. The OJAE-treated Tg2576 (Tg-OJAE) groups showed the statistically significant increases of latency time in passive avoidance test. Also, it was found that the concentration of $A{\beta}1-42$ was significantly reduced in Tg-OJAE groups compared to non-treated Tg2576 groups. In the additional enzyme test, it was found that $IC_{50}$ of OJAE was $991.77{\mu}g/mL$ and OJAE acted as an uncompetitive inhibitor of AChE. Therefore, it seemed that OJAE can be used for the development of processed foods for memory improvement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.554-560
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• 2020

In the manufacturing process of flat panel displays, a high-precision planar motion stage is used to position a specimen. Stages of this type typically use frictionless linear motors and air bearings, and laser interferometers. Real-time dynamic correction of the yaw motion error is very important because the inevitable yaw motion error of the stage means a change in the specimen orientation. Gantry control is generally used to compensate for yaw motion errors. Flexure units that allow rotational motion are applied to the stage to apply this method to a stage using an air-bearing guide. This paper proposes a method to improve the constant speed motion performance of a H-type XY stage equipped with air bearing and flexure units. When applying the gantry control to the stage, including the flexure units, the cause of the mutual ripple generated from the linear motors is analyzed, and adaptive learning control is proposed to compensate for the mutual ripple. A simulation was performed to verify the proposed method. The speed ripple was reduced to approximately the 22 % level. The ripple reduction was verified by simulating the stage state where yaw motion error occurs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.1-8
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• 2020

In recent years, due to the exponential increase in internet data, many fields such as deep learning have developed, but side effects generated as commercial advertisements, such as viral marketing, have been discovered. This not only damages the essence of the internet for sharing high-quality information, but also causes problems that increase users' search times to acquire high-quality information. In this study, we define advertisement as "a text that obscures the essence of information transmission" and we propose a model for filtering information according to that definition. The proposed model consists of advertisement filtering and advertisement filtering performance improvement and is designed to continuously improve performance. We collected data for filtering advertisements and learned document classification using KorBERT. Experiments were conducted to verify the performance of this model. For data combining five topics, accuracy and precision were 89.2% and 84.3%, respectively. High performance was confirmed, even if atypical characteristics of advertisements are considered. This approach is expected to reduce wasted time and fatigue in searching for information, because our model effectively delivers high-quality information to users through a process of determining and filtering advertisement paragraphs.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.18-26
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• 2011

Computational chemistry is one of the chemistry fields that deals with the theoretical chemistry problem using computer calculations and can be described as the chemistry lab moved on computer space. In line with recent enhancement of processing capability of computers, utilization of high performance computer cannot be overemphasized in the field of computational chemistry in performing complex calculation of huge molecular structure and simulation. While they have to use commands and consoles for high performance computer to execute complex calculation of huge molecular structure and simulation, most of students in natural science and engineering, who are not experts in computer technically, are likely to be unaware of UNIX. Under the circumstances, web-based educational support system for computational chemistry is needed to enable them to practice computational chemistry, even not knowing UNIX command. In this study, e-Chem, one of such educational support systems, is developed by using Liferay portal platform, which is a Java open source more oriented to standard and outstanding in its content management and collaboration function than other web portals. By using this system, even students who are not familiar with computer, are expected to take part in lab classes and save time learning Unix command and also enhance the learning efficiency by using familiar interface.

• The Korean Journal of Elementary Counseling
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• v.5 no.1
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• pp.119-137
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• 2006

The purpose of this study is to develop a group counseling program to improve the learning habits of the elementary school children who experience difficulties learning, because of their wrong learning habits. To achieve it, the sub-elements of learning habits are set by "learning motive & attitude" and "learning technique" A group counseling program composed of the essential factors suitable for each element are srhseqrently, devised to pursue the improvement of learning habits. The study propositions are set as follows: Can the group counseling program improve the learning habits of elementary school children? 1. Can the group counseling program improve the learning motive and attitude of elementary school children? 2. Can the group counseling program improve the learning technique of elementary school children? The subject of this study is the 4th graders of W elementary school located in Gwangju Metropolitan City. After selecting 12 pupils from low scorers after a learning habits test, Each 6 of those are randomly assigned to an experimental group and a control group, respectively. In this way, they are pcrticipate in the group counseling program. The group counseling program is consisted of 10 sessions. The program is implemented for six weeks with a 50 min duration per session. As a measuring tool, a restructured test with only motive variables and technique variables, excluding remaining variables, from the Learning Habits Test by Choi Jong-Ryul (1992) is used for pre and post tests. The results of the study is acquired by integrating the statistics from the test tool. Observation of the counselor and testees' thoughts are as follows: The group counseling program affects the sub-elements of learning habits positively, namely learning motive & attitude and learning technique. The program applied in this study is effective in improving the learning habits of the pupils with lower learning habits. Accordingly, this program can be one of the methods to develop effective learning habits, set efficient strategies and exert abilities maximally for the learners, who did not adequately exert their abilities, due to wrong learning habits, while ineffectively learning without knowing effective learning habits. To improve and maintain the learning habits of the elementary school pupils, overall understanding should be backed in order to precisely analyze and identify the learning habits of the pupils. Besides, an association between schools and homes is also needed along with parents' concerns over their children's learning habits at home.

• Journal of The Korean Association For Science Education
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• v.40 no.1
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• pp.41-50
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• 2020

Looking at the understanding of scientific concepts from a linguistic perspective, it is very important for students to develop a deep and sophisticated understanding of words used in scientific concept as well as the ability to use them correctly. This study intends to provide the basis for productive knowledge education of scientific words by noting that the foundation of productive knowledge teaching on scientific words is not well established, and by exploring ways to teach the relationship among words that constitute scientific concept in a productive and effective manner. To this end, we extracted the relationship among the words that make up the scientific concept from the text of science textbook by using quantitative text analysis methods, second, qualitatively examined the meaning of the word relationship extracted as a result of each method, and third, we proposed a writing activity method to help improve the productive knowledge of scientific concept words. We analyzed the text of the "Force and motion" unit on first grade science textbook by using four methods of quantitative linguistic analysis: word cluster, co-occurrence, text network analysis, and word-embedding. As results, this study suggests four writing activities, completing sentence activity by using the result of word cluster analysis, filling the blanks activity by using the result of co-occurrence analysis, material-oriented writing activities by using the result of text network analysis, and finally we made a list of important words by using the result of word embedding.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.67-75
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• 2018

According to Symantec's Internet Security Threat Report(2018), Internet security threats such as Cryptojackings, Ransomwares, and Mobile malwares are rapidly increasing and diversifying. It means that detection of malwares requires not only the detection accuracy but also versatility. In the past, malware detection technology focused on qualitative performance due to the problems such as encryption and obfuscation. However, nowadays, considering the diversity of malware, versatility is required in detecting various malwares. Additionally the optimization is required in terms of computing power for detecting malware. In this paper, we present Stream Order(SO)-CNN and Incremental Coordinate(IC)-CNN, which are malware detection schemes using CNN(Convolutional Neural Network) that effectively detect intelligent and diversified malwares. The proposed methods visualize each malware binary file onto a fixed sized image. The visualized malware binaries are learned through GoogLeNet to form a deep learning model. Our model detects and classifies malwares. The proposed method reveals better performance than the conventional method.

• Korean Journal of Child Education & Care
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• v.18 no.2
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• pp.167-181
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• 2018

Many factors that may affect teaching aptitude of pre-service early childhood teachers have been discovered. However, little is known about the relationship between self-esteem and teaching aptitude in them. This study aimed to investigated self-esteem in relation to teaching aptitude in pre-service early childhood teachers. Pre-service early childhood teachers' self-esteem scale and teaching aptitude scale assessed the self-esteem and teaching aptitude of 344 pre-service early childhood teachers in C-city in Gangwon-do and N-city in Kyunggi-do, Korea. Results showed that all four dimensions of the self-esteem were significantly related to teaching aptitude, indicating that pre-service early childhood teachers with higher self-esteem were likely to have greater teaching aptitude. Regression analysis indicated that self-esteem in the areas of leadership and popularity, self-assertiveness, and social-relations significantly predicted teaching aptitude of pre-service early childhood teachers.