• Journal of Gifted/Talented Education
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• v.20 no.1
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• pp.131-150
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• 2010

This research was planned to analyze the students' science writing tendencies according to the level of meta-cognition for using as materials of selection of gifted students. To get results, meta-cognition writing tests which measured critical thinking ability and problem solving ability were developed, and the students' the level of meta-cognition was measured. Thereafter We analyzed the students' science writing tendencies in accordance with the level of meta-cognition through the science writing with meta-cognition task(the main theme are expectation; explanation; claim; criticism; imagination), and found out the students' ability of science writing was different with the level of meta-cognition. Students with the low level meta-cognition did not represent their thinking well, but students with the high level meta-cognition were try to upgrade their writing through highly concentration and perceiving theirs writing mistakes. As this results, science writing is useful as materials of selection of gifted students.

• JSTS:Journal of Semiconductor Technology and Science
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• v.16 no.5
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• pp.535-541
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• 2016

A low phase noise META-VCO based-on meta-structure was designed using 65 nm CMOS process. We used a meta-structure to get good phase noise characteristics. The measured phase noises are -67.8 dBc/Hz, -96.37 dBc/Hz, and -107.37 dBc/Hz at 100 kHz, 1 MHz, and 10 MHz offset respectively. The META-VCO operates 8.45~8.77 GHz according to VCTRL, and the output power is -19.12 dBm. The power consumption is 28 mW with 1.2-V supply voltage. The calculated FOM is -140.76 dBc/Hz.

• Journal of Korean Elementary Science Education
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• v.33 no.2
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• pp.322-334
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• 2014

In this study, the researcher aimed to increase productive reflection of pre-service elementary teachers through meta-analysis of their own reflective journals. The meta-analysis activities are expected to enhance their learning effectively as a kind of self-assesment. During 8 week simulation teaching, 26 pre-service teachers kept individual journal writing and the meta-analysis activities were implemented twice (after the 3rd and 8th week). Right after the first meta-analysis, the pre-service teachers' productive reflection increased clearly. However this would not guarantee the effect would last long time period. By analyzing 8 week reflective journals, reports on meta-analysis activities and small group interview, this study shed light on practical ways of enhancing reflective teacher education.

• School Mathematics
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• v.13 no.3
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• pp.469-484
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• 2011

Students experience various affects in solving mathematical problem and learning mathematics. Focusing on meta-affect in affective domain, we explored the types of meta-affect. Our research provides illustrative examples and analysis of meta-affect during solving problem. As a result, meta-affect has four types i.e. monitoring of affect, evaluation of emotion, control of emotion, and utilization of affect. And meta-affect is a main key to decide how to handle affect and influence student's cognitive strategies and affect.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.05a
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• pp.201-209
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• 2000

정보산업의 발달과 함께 일반 사용자들의 데이터베이스의 사용이 증가함에 따라 부정확한 자연어 질의 처리를 할 수 있는 인공 지능적인 질의시스템이 필요하게 되었다. 이러한 질의시스템이 자연어 질의를 처리하려면 불확실한 데이터들에 대한 정보를 제공하는 MetaData가 반드시 필요하고, 데이터베이스 분야와 인공지능 분야의 이론들을 바탕으로 MetaData의 정형화 및 분류가 필요하다. 본 연구에서는 퍼지이론, 확률이론을 기초로 하여 소속척도, 근접추론, 유사관계, 데이터마이닝 기법 등을 이용하여 MetaData를 정형화하고 분류하였다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.276-279
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• 2005

Many large organizations that have allocated resources to Data Administration(DA) have DA-context meta data mining. Also meta data is an interesting topic in the data warehouse world. This conceptual view gradually cleared up, and recently we have been talking more confidently about the back-room and front-room meta data. We describe the processes and problems that characterize the general architecture of s meta data mining system to do improve management efficiency that require further research and development.

• Proceedings of the Korea Concrete Institute Conference
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• 2006.11a
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• pp.905-908
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• 2006

In this study examines physical and mechanical properties the use of domestic low grade meta-kaolin in light weight porous concrete. For this purpose light weight porous concrete incorporating low grade meta-kaolin admixture, was tested for tensile strength and acoustic characteristics. Checking tensile strength of cement and low grade meta-kaolin mixture was used to determine the optimum mix proportion of the low grade meta-kaolin admixture. In this paper sound absorbing material has been investigated by using the light weight porous concrete.

• Journal of Dental Rehabilitation and Applied Science
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• v.38 no.4
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• pp.196-203
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• 2022

Purpose: This study aimed to evaluate the accuracy and clinical usability of an identification model using deep learning for 79 dental implant types. Materials and Methods: A total of 45396 implant fixture images were collected through panoramic radiographs of patients who received implant treatment from 2001 to 2020 at 30 dental clinics. The collected implant images were 79 types from 18 manufacturers. EfficientNet and Meta Pseudo Labels algorithms were used. For EfficientNet, EfficientNet-B0 and EfficientNet-B4 were used as submodels. For Meta Pseudo Labels, two models were applied according to the widen factor. Top 1 accuracy was measured for EfficientNet and top 1 and top 5 accuracy for Meta Pseudo Labels were measured. Results: EfficientNet-B0 and EfficientNet-B4 showed top 1 accuracy of 89.4. Meta Pseudo Labels 1 showed top 1 accuracy of 87.96, and Meta pseudo labels 2 with increased widen factor showed 88.35. In Top5 Accuracy, the score of Meta Pseudo Labels 1 was 97.90, which was 0.11% higher than 97.79 of Meta Pseudo Labels 2. Conclusion: All four deep learning algorithms used for implant identification in this study showed close to 90% accuracy. In order to increase the clinical applicability of deep learning for implant identification, it will be necessary to collect a wider amount of data and develop a fine-tuned algorithm for implant identification.

• Journal of Acupuncture Research
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• v.19 no.3
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• pp.138-155
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• 2002

Objective : The purpose of this study is to work on the problems and on the direction of the study regarding the evidence-based study of Acupuncture. Methods : We reviewed the PubMed electronic database. Eight articles of systematic review without meta-analysis and six articles without meta-analysis were selected. Results : In the study of eight articles of systematic review without meta-analysis, there were two articles on effectiveness of acupuncture and one on non-effectiveness of acupuncture. Four articles were about the changes according to the quality of randomized controlled trials. Also, one article was about the side-effect of acupuncture. In the study of six articles of systematic review with meta-analysis, there were two articles on Odds Ratio, two on Relative Risk, one on number-needed-to-treat, and two on 18 predefined methodological criteria. Conclusion : As the quality of RCTs was high, positive response decreased and as the quality of RCTs was low, positive response increased. For the study of evidence-based acupuncture, it is necessary that we conduct research on well-planned placebo acupuncture, large sample size, statistical method, method of searching and assessing literature and method of meta-analysis.

• Korean Journal of Child Studies
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• v.37 no.4
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• pp.57-67
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• 2016

Objective: This study examined the relations between maternal meta-emotion philosophy, child interpersonal problem solving, and peer competence among children aged 4-5 and their mothers and teachers. Methods: A total of 54 children from 24 kindergartens were assessed on their interpersonal problem solving and peer competence. Their mothers reported on meta-emotion philosophy. Their teachers were assessed on child peer competence. Results: The major findings of this study were as follows. First, maternal meta-emotion philosophy, child interpersonal problem solving, and child peer competence showed positive correlation patterns. Second, child interpersonal problem solving and peer competence was found to be influenced by maternal child-directed meta-emotion philosophy but not by maternal self-directed meta-emotion philosophy. Conclusion: Findings highlight the importance of maternal meta-emotion philosophy and that their emotion socialization play a significant role in identifying the mechanisms leading to child social cognitive ability and social adjustment. Furthermore, these results could lead to important basic studies in developing parent/teacher education programs.