• The Journal of Korean Academy of Sensory Integration
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• v.12 no.1
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• pp.25-38
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• 2014

Objective : This study was conducted to determine effects of school-based occupational therapy through a systematic review Methods : We systematically reviewed studies published in PubMed and Ovid from 2000 to June 2014 using keyword 'school' or 'children' and 'occupational therapy'. Fourteen studies were selected. The level of evidence, participants, assessment, intervention area, method and effects were analyzed by reviewing full text. Results : The most group and age of participants were normal child with fine motor difficulties and 6~8 years old in selected studies. The most target area of intervention was handwriting, fine motor and visuo-motor integration (68.8%) and the most method was direct treatment (71.4%). The top on the assessment was Beery-Buktenica Test of Visual-Motor Integration (14.9%) and next was Bruininks-Oseretsky Test of Motor Proficiency (11.1%). Effects of school based occupational therapy were founded in the visual motor integration, learning skill, level of participation, fine motor, play and behavioral problem. Conclusion : This systematic review provides evidence concerning the participants, intervention, assessment and effects of school based occupational therapy. It should be used for basic data for the research and practice of school-based occupational therapy.

• Journal of Ginseng Research
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• v.38 no.1
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• pp.1-7
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• 2014

Background: Although ginsenosides such as Rg1, Rb1 and Rg3 have shown promise as potential nutraceuticals for cognitive impairment, their use has been limited due to high production cost and low potency. In particular, the process of extracting pure Rg3 from ginseng is laborious and expensive. Methods: We described the methods in preparing ginseol k-g3, an Rg3-enriched fraction, and evaluated its effects on scopolamine-induced memory impairment in mice. Results: Ginseol k-g3 (25-200 mg/kg) significantly reversed scopolamine-induced cognitive impairment in the passive avoidance, but not in Y-maze testing. Ginseol k-g3 (50 and 200 mg/kg) improved escape latency in training trials and increased swimming times within the target zone of the Morris water maze. The effect of ginseol k-g3 on the water maze task was more potent than that of Rg3 or Red ginseng. Acute or subchronic (6 d) treatment of ginseol k-g3 did not alter normal locomotor activity of mice in an open field. Ginseol k-g3 did not inhibit acetylcholinesterase activity, unlike donezepil, an acetylcholinesterase inhibitor. Rg3 enrichment through the ginseol k-g3 fraction enhanced the efficacy of Rg3 in scopolamine-induced memory impairment in mice as demonstrated in the Morris water maze task. Conclusion: The effects of ginseol k-g3 in ameliorating scopolamine-induced memory impairment in the passive avoidance and Morris water maze tests indicate its specific influence on reference or long-term memory. The mechanism underlying the reversal of scopolamine-induced amnesia by ginseol k-g3 is not yet known, but is not related to anticholinesterase-like activity.

• Phonetics and Speech Sciences
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• v.12 no.3
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• pp.85-94
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• 2020

Vowel articulation in subjects related to speech disorders seems to be difficult. A chant method that properly reflects the characteristics of language could be used as an effective way of addressing the difficulties. The purpose of this study was to find out whether the chant method is effective as a means of enhancing vowel articulation. The subjects of this study were 60 normal adults (30 males and 30 females) in their 20s and 30s whose native language is Korean. Eight utterance conditions including chanting and reading conditions were recorded and their acoustic data were analyzed. The results of the analysis of the acoustic variables related to the formant confirmed that the F1 and F2 values of the vowel formants are increased and the direction of movement of the center of gravity of the vowel triangle is statistically significantly forwarded and lowered in the chant method in both the word and the phrase context. The results also proved that accent is the most influential musical factor in chant. There was no significant difference between four repeated tokens, which increased the reliability of the results. In other words, chanting is an effective way to shift the center of gravity of the vowel triangle, which suggests that it can help to improve speech intelligibility by forming a desirable place for articulation.

• Journal of Korean Elementary Science Education
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• v.18 no.1
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• pp.19-28
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• 1999

This study aims to analyze tile research trends of science education in Korea, and suggest the direction of the desirable research, which is to help the improvement of science education practically. To achieve these aims, the papers related to the science education (paper;1288, master′s thesis;724, doctoral thesis;59), which were published from 1992 to 1996 in Korea, are classified by the criteria for the analysis and summed up. The condensed results of this study are as follows, 1. The papers published through this period, maintains the stability in aspect of quantity compared with 1980s. It is owing to the efforts of the prime investigator so that "the science education," as a part of normal science, may settle down in Korea. 2. In the case of thesis for the academic degree, the doctoral theses are rare, as the ratio of the doctoral vs. the master′s is 1:13. Even so, most of the theses were produced by a few universities(master′s thesis/Kor. Nat. Univ. of Edu.;28.3%, Ewha Woman′ Univ.;16.2%, doctoral thesis/Seoul Nat. Univ.;57.6%, Kor. Nat. Univ. of Edu.;22.0%). 3. Most of papers are preponderant at three categories among the ten categories proposed by this study (science teaching-learning material;23.5%, science teaching methods;21.4%, psychology of science education;21.1%). 4. Concerning the subject of research, these papers are not diversity and intensive, that is; the subject related to scientific concepts, scientific thinking and attitude, and analysis of scientific textbook is 17.7%, 14.3%, and 10.5% of the total, respectively. 5. Though not including this study, among the theses for the master of science education, many of theses are related to the subject of pure science. There are some suggestions related to tile results of this study. The severe preponderance ill the training process, the subject, and area of research, can be pointed out one of the flimsy in our researches of science education. Because these cannot be considered separately, the policy and support of educational administration must be needed to remove this phenomena. To improve the present situation of science education, the research funds have to be given to the practical than the theoretical subjects. Which can make promptly a settlement of tile problems and difficulties from the field of science education, and encourage the reseal,:h activities that tile front teachers take part in. Lately, the accumulation of literature and references are a prior condition in the development of academic knowledge. Therefore the data base system for the information of science education and translation of foreign literature related to science education must be achieved. In addition, the programs that tile teacher and the investigator can make good use of such an information without limited conditions, must be prepared.

• 대한공업교육학회지
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• v.40 no.2
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• pp.92-110
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• 2015

The purpose of this study is to provide necessary information to understand characteristics of vocational high school students and to enhance academic engagement through social support of teachers, leading to help research of teaching and learning strategy. A survey was conducted on 990 engineering major students attending 11 vocational high schools in Seoul metropolitan, Chungcheong, Jeolla, Kyeongsang and Kangwon regions. A questionnaire consists of measurement tools for the academic engagement (21 questions) and the social support of teachers (25 questions). The findings of this study are as follows: First, it is found that the level of students' academic engagement was high. But it appears that the students showed low engagement of emotion compared with that of behavior and cognition. There was no level difference according to gender, but there was a considerable difference according to a school year. The first year students' level of engagement was higher than the second and the third year students' in terms of cognition and emotion. Second, it shows that the level of the teachers' social support was normal, which was in the order of appraisal support, instrumental support, informational support, and emotional support. Especially, the level of appraisal support and instrumental support was most. Third, there were correlation and explanation between students' academic engagement and teachers' social support. Moreover, the result that teachers' emotional support has high correlation and explanation in qualitative terms of academic engagement support the importance. Therefore, it is concluded that the social support of teachers can make an positive influence on improving the academic engagement of students and provide students with adaptability and satisfaction with their school life, which may give students a positive effect in emotional development, self-formation, and complement.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.5
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• pp.1087-1097
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• 2017

As the penetration rate of smartphones increases, the number of malicious codes targeting smartphones is increasing. I 360 Security 's smartphone malware statistics show that malicious code increased 437 percent in the first quarter of 2016 compared to the fourth quarter of 2015. In particular, malicious applications, which are the main means of distributing malicious code on smartphones, are aimed at leakage of user information, data destruction, and money withdrawal. Often, it is operated by an API, which is an interface that allows you to control the functions provided by the operating system or programming language. In this paper, we propose a mechanism to detect malicious application based on the similarity of API pattern in normal application and malicious application by learning pattern of API in application derived from static analysis. In addition, we show a technique for improving the detection rate and detection rate for each label derived by using the corresponding mechanism for the sample data. In particular, in the case of the proposed mechanism, it is possible to detect when the API pattern of the new malicious application is similar to the previously learned patterns at a certain level. Future researches of various features of the application and applying them to this mechanism are expected to be able to detect new malicious applications of anti-malware system.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.2
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• pp.76-86
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• 2016

SQL Injection attacks are the most widely used and also they are considered one of the oldest traditional hacking techniques. SQL Injection attacks are getting quite complicated and they perform a high portion among web hacking. The big data environments in the future will be widely used resulting in many devices and sensors will be connected to the internet and the amount of data that flows among devices will be highly increased. The scale of damage caused by SQL Injection attacks would be even greater in the future. Besides, creating security solutions against SQL Injection attacks are high costs and time-consuming. In order to prevent SQL Injection attacks, we have to operate quickly and accurately according to this data analysis techniques. We utilized data analytics and machine learning techniques to defend against SQL Injection attacks and analyzed the execution plan of the SQL command input if there are abnormal patterns through checking the web log files. Herein, we propose a way to distinguish between normal and abnormal SQL commands. We have analyzed the value entered by the user in real time using the automated SQL Injection attacks tools. We have proved that it is possible to ensure an effective defense through analyzing the execution plan of the SQL command.

• FLOWER RESEARCH JOURNAL
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• v.18 no.2
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• pp.136-141
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• 2010

In order to analyze the horticultural-therapy program, which was carried out targeting the mentally disabled, relevant 559 copies of 'Confirmation Note of horticultural activity' submitted for to be used the use in license examination to Korean Horticultural Therapy and Wellbeing Association were used as a tool. It contains 64 horticultural therapists for level 1 and 524 horticultural therapists for level 2 from May in 2000 to February in 2008. With the aim of examining difference depending on people covered by the program, license kind and horticultural therapy activity period in horticulture therapists, ${\chi}^2$ test was conducted on the basis of frequency in each. Data was analyzed by using SPSS (Statistical Package for the Social Science) Win 13.0 program, which was carried out targeting the mentally disabled, the 'art and craft activity' was the largest with 46.0%. In terms of 'growing activity', the 'normal growing' showed the highest ratio with 74.7%. In the 'art and craft activity', the 'flower decoration' showed the highest ratio with 37.5%. In the result of 'Cooking activity', the activity related to 'tea' was the largest ratio with 33.6%. As a result of 'learning activity', 'orientation' was the largest ratio with 47.6%. In the 'outdoor activity', 'excursion' was the largest ratio with 36.7%.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.77-87
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• 2021

With the development of the Internet and personal computers, various and complex attacks begin to emerge. As the attacks become more complex, signature-based detection become difficult. It leads to the research on behavior-based log anomaly detection. Recent work utilizes deep learning to learn the order and it shows good performance. Despite its good performance, it does not provide any explanation for prediction. The lack of explanation can occur difficulty of finding contamination of data or the vulnerability of the model itself. As a result, the users lose their reliability of the model. To address this problem, this work proposes an explainable log anomaly detection system. In this study, log parsing is the first to proceed. Afterward, sequential rules are extracted by Bayesian posterior probability. As a result, the "If condition then results, post-probability" type rule set is extracted. If the sample is matched to the ruleset, it is normal, otherwise, it is an anomaly. We utilize HDFS datasets for the experiment, resulting in F1score 92.7% in test dataset.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.242-250
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• 2019

In this paper, we propose a method to predict the failure of industrial robot using Seq2Seq (Sequence to Sequence) model, which is a model for transforming time series data among Artificial Neural Network models. The proposed method uses the data of the joint current and angular value, which can be measured by the robot itself, without additional sensor for fault diagnosis. After preprocessing the measured data for the model to learn, the Seq2Seq model was trained to convert the current to angle. Abnormal degree for fault diagnosis uses RMSE (Root Mean Squared Error) during unit time between predicted angle and actual angle. The performance evaluation of the proposed method was performed using the test data measured under different conditions of normal and defective condition of the robot. When the Abnormal degree exceed the threshold, it was classified as a fault, and the accuracy of the fault diagnosis was 96.67% from the experiment. The proposed method has the merit that it can perform fault prediction without additional sensor, and it has been confirmed from the experiment that high diagnostic performance and efficiency are available without requiring deep expert knowledge of the robot.