• Journal of Digital Convergence
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• v.14 no.10
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• pp.53-60
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• 2016

This study investigated the effect of visual mathematics education using smartphones and immediate feedback through SNS on students' understanding of basic mathematical concept and academic achievement at the tertiary level. Researchers analyzed the test results of 214 students' mid-term and final examination in 4 classes consisted of 16 weeks' classes with two hours per week. Also their 30 questionnaire survey results were analyzed. The result reveals that classes using smartphones promoted understanding mathematical concepts and induced students' motivation and affirmative reaction. This study implies that an appropriate use of technology will support dynamic visualization of mathematical modeling and its interpretation, which enables students' active participation and deeper understanding.

• Journal of Music and Human Behavior
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• v.15 no.2
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• pp.41-67
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• 2018

The purpose of this case study was to examine how a supportive songwriting program could facilitate resilience for adolescents with school maladjustment. Participants included four middle school students with adaptive difficulties. The participants received eight 50-minute sessions of a supportive songwriting program. The program consisted of singing and discussing selected songs, followed by the participants creating their own lyrics about their current adaptation issues. The Resilience Scale for Adolescents was completed by each participant before and after the intervention, and the participants' lyrics were analyzed for how the factors of resilience were reflected in their lyrics. The results showed that all participants' scores on the resilience scale increased. It was also found that the factor on the resilience scale that increased the most for each participant was related to the issues expressed in their lyrics. The results suggest that the process of writing songs can be effective in eliciting adolescents' school related issues and accessing their positive resources, which can lead to behavioral and psychological improvements.

• Parasites, Hosts and Diseases
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• v.28 no.2
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• pp.109-114
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• 1990

Status of intestinal protozoan and helminthic infections was surveyed in mestizo population living in rural parish of Palmar and its nearby recintos(villages) , Three of the surveyed villages were at the Pacific coast and 5 villages were in inner pasture land, located about 100 km west of Guayaquil, the second largest city in Ecuador. One stool sample was examined by one cellophane thick smear for helminth ova and one direct smear stained with Lugol's iodine solution for protozoan cysts. Of 325 persons examined, 66.1% were positive for any ova or cyst. The positive rates were: 18.1% for Ascaris lumbricoides, 19.4% for Trichuris trichiura, 0.6% for hookworm, 3.7% for Hyntenolepis nana, 1.8% for Taenia sp., 19.4% for Entnmoeba histolytica, 28.6% for Entamoeba coli, 5.5% for Endolimax nasa, 1.5% for ledamoeba buetschlii, 11.l% for eiardia lamblia and 0.6% for Chilomastix mesnili. Poor supply of potable water was considered the main cause of high prevalence of intestinal protozoan infections.

• Journal of Science Education
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• v.38 no.1
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• pp.182-195
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• 2014

Ray drawing in geometrical optics is an effective method for visible imagery of light. In this study, we developed peer instruction materials for in-service teachers' training concepts on the refraction of light including drawing rays. And then we applied these programs to 29 pre-service teachers and 21 in-service primary teachers and evaluated the degree of conceptual change in correct points from the pretest and the post one. As a result of pretesting, in spite of experiences for learning this topic in elementary and secondary education courses, most participants in the study did not well understand the path of refracted light before instructions. However, the result of post testing after the application of peer instruction materials shows that they have practiced ray drawing, which is helping visible imagery. Accordingly, in learning geometrical optics, we suggest that peer instruction with ray drawing activity for teachers' training program would be effective. We also suggest that similar approaches would be applied to other context.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.727-737
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• 1999

프로세스 중심 소프트웨어 개발 환경(PSEE : Process-centered Software Engineering Environment)은 소프트웨어 개발자를 위한 여러가지 정보의 제공과 타스크의 수행, 소프트웨어 개발 도구의 수행 및 제어, 필수적인 규칙이나 업무의 수행등과 같은 다양한 행위를 제공하는 프로세스 모형의 수행을 통하여 소프트웨어 개발 행위를 지원한다. SEED(Software Engineering Environment for Development)는 효율적인 소프트웨어 개발과 프로세스 모형의 수행을 제어하기 위해 ETRI에서 개발된 PSEE이다.본 논문에서는 SEED에서 프로세스 모형을 설계하기 위해 사용되는 SimFlex 프로세스 프로그래밍 언어와, 수행지원시스템인 SEED Engine의 구현에 대하여 기술한다. SimFlex는 간단한 언어 구조를 가진 프로세스 프로그래밍 언어이며, 적절한 적합화를 통하여 다른 PSEE에서 사용될 수 있다. SimFlex 컴파일러는 SimFlex에 의해 기술된 프로세스 모형을 분석하고, 모형의 오류를 검사하며, SEED Engine에 의해 참조되는 중간 프로세스 모형을 생성한다. 중간 프로세스 모형을 사용하여 SEED Engine은 외부 모니터링 도구와 연관하여 사용자를 위한 유용한 정보뿐만 아니라 SimFlex에 의해 기술된 프로세스 모형의 자동적인 수행을 제공한다. SimFlex 언어와 수행지원 시스템의 지원을 통하여 소프트웨어 프로세스를 모형화하는데 드는 비용과 시간을 줄일 수 있으며, 편리하게 프로젝트를 관리하여 양질의 소프트웨어 생산물을 도출할 수 있다. Abstract Process-centered Software Engineering Environments(PSEEs) support software development activities through the enaction of process models, providing a variety of activities such as supply of various information for software developers, automation of routine tasks, invocation and control of software development tools, and enforcement of mandatory rules and practices. The SEED(Software Engineering Environment for Development) system is a PSEE which was developed for effective software process development and controlling the enactment of process models by ETRI.In this paper, we describe the implementation of the SimFlex process programming language used to design process models in SEED, and its runtime support system called by SEED Engine. SimFlex is a software process programming language to describe process models with simple language constructs, and it could be embedded into other PSEEs through appropriate customization. The SimFlex compiler analyzes process models described by SimFlex, check errors in the models, and produce intermediate process models referenced by the SEED Engine. Using the intermediate process models, the SEED Engine provides automatic enactment of the process models described by SimFlex as well as useful information for agents linked to the external monitoring tool. With the help of the SimFlex language and its runtime support system, we can reduce cost and time in modeling software processes and perform convenient project management, producing well-qualified software products.

• The Transactions of the Korea Information Processing Society
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• v.6 no.4
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• pp.968-976
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• 1999

Currently, in the most mail automatic processing centers, after facing and canceling, envelope mail is passed through an Optical Character Recognition/Barcode Sorter(OCR/BS) to read the address and 3 of 5 fluorescent(luminescent) barcode is applied. Normally, 30%∼35% of this mail is rejected. The usual reasons for read failure are poor printing quality of address and barcode, script printing and failure to locate the address. This paper describes a verification system of the postal 3 of 5 customer barcode for solving this problem. The certification system of the 3 of 5 customer barcode consists of barcode verification system and postal address database. The purpose of certification system of the customer barcode verifies the postal 3 of 5 customer barcode and tests matching of mail piece postal address, and retrieves postal code.

• Industry Promotion Research
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• v.2 no.2
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• pp.23-29
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• 2017

This study aims to suggest a new method to escape crisis of manufacturing industry. We focused on the field - oriented management innovation promotion performance divided into qualitative performance and quantitative performance. The site-centered management innovation is an organization that helps managers to quickly solve the problems faced by field management personnel by switching from manager-centered management method to on-site management personnel-oriented management. Find out the waste factors of the work and improve the process and set the process standards according to the customer's needs. Before working on the site, an employee should know exactly the process standard of what I will do, and frequently inspect the raw materials to make sure they meet the specifications. After the self-inspection is carried out, the standard is reviewed. If there is no abnormality, the cross-validation is carried out by the method which is carried over to the next step. The results of this study can be used to enhance the competitiveness of manufacturing companies. New management innovation techniques are required to adapt to the rapidly changing international business environment, and this study has implications for this research.

• Journal of radiological science and technology
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• v.45 no.2
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• pp.111-116
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• 2022

In this study, the applicability of machine learning for the development of a simulator for general X-ray examination education is evaluated. To this end, k-nearest neighbor(kNN), support vector machine(SVM) and neural network(NN) classification models are analyzed to present the most suitable model by analyzing the results. Image data was obtained by taking 100 photos each corresponding to Posterior anterior(PA), Posterior anterior oblique(Obl), Lateral(Lat), Fan lateral(Fan lat). 70% of the acquired 400 image data were used as training sets for learning machine learning models and 30% were used as test sets for evaluation. and prediction model was constructed for right-handed PA, Obl, Lat, Fan lat image classification. Based on the data set, after constructing the classification model using the kNN, SVM, and NN models, each model was compared through an error matrix. As a result of the evaluation, the accuracy of kNN was 0.967 area under curve(AUC) was 0.993, and the accuracy of SVM was 0.992 AUC was 1.000. The accuracy of NN was 0.992 and AUC was 0.999, which was slightly lower in kNN, but all three models recorded high accuracy and AUC. In this study, right-handed PA, Obl, Lat, Fan lat images were classified and predicted using the machine learning classification models, kNN, SVM, and NN models. The prediction showed that SVM and NN were the same at 0.992, and AUC was similar at 1.000 and 0.999, indicating that both models showed high predictive power and were applicable to educational simulators.

• Journal of the Korean School Mathematics Society
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• v.25 no.3
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• pp.261-278
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• 2022

The purpose of this study is to develop an assessment to diagnose difficulties in learning mathematics and misconstructions that elementary students have. With thorough theoretical background and analysis of mathematics curriculum documents, we established learning trajectories for the following content areas in grades 3 to 6: number and operation, regularity, data and chance, geometry, and measurement. Then, the research team created the assessment items targeting a specific stage in the learning trajectories and including item options to identify possible misconceptions. Based on the unified validity theory, we reported the detailed procedure of the assessment development and the evidence for the content, substance, and structural validity of the assessment. We collected the data of 675 elementary students. Rasch measurement modeling was applied, and Cronbach's alpha was estimated. We considered how to report students' assessment results to teachers appropriately and immediately, which suggested important implications for supporting teaching and learning mathematics in elementary schools. We also suggested how to use the assessment developed in this study in online and distance learning environments due to the COVID-19 pandemic.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.118-121
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• 2014

본 논문은 TTA 에서 제정된 "HTML5 기반 스마트 TV 플랫폼" 표준(TTAK.KO-07.0111/R1)에 따라 개발되는 스마트 TV 수신기 앱이 표준의 기술 요구사항을 준수하여 적합하게 구현되고 있는지 검증할 수 있는 앱 검증 도구를 소개한다. 이 도구는 개발자에게 제공되는 통합개발환경에 포함되는 개발 툴의 하나로, 표준기반 스마트 TV 앱의 소스코드를 해석하고 의미를 분석하여, 표준의 기술 요구사항에 따라 정의된 검증 규격(Rule)을 준수하는지 검증해주는 역할을 한다. 도구의 기능범위는 JSLint, JSHint, ESLint 와 같은 기존 Open Source 기반 툴의 문법 검사 기능을 수용하고, 스마트 TV 플랫폼 특성에 따른 미지원 API, 확장 API 사용 및 웹 브라우저에서 지원되지 않는 기능에 대한 검증을 추가하였다. 스마트 TV 앱 개발자들은 이 도구를 사용하여 개발 비용이 적게 드는 초기 단계에 표준을 준수하는 앱을 구현 함으로서 TV 정합 시간을 줄일 수 있으며, 다른 디바이스나 플랫폼으로 앱을 이식하는 작업을 효율적, 경제적으로 할 수 있다.