• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권6호
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• pp.1449-1461
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• 2024

As technology advances, processor speeds are increasing at a rapid pace and digital systems require a significant amount of data bandwidth. As a result, careful consideration of signal integrity is required to ensure reliable and high-speed data processing. Crosstalk has become a vital area of research in signal integrity for electronic packages, mainly because of the high level of integration. Analytic formulas were analyzed in this study to identify the features that can predict crosstalk in multi-conductor transmission lines. Through the analysis, five variables were found and obtained a dataset consisting of 302,500, data points. The study evaluated the performance of various regression models for optimization via automatic machine learning by comparing the machine learning predictions with the analytic solution. Extra tree regression consistently outperformed other algorithms, with coefficients of determination exceeding 0.9 and root mean square logarithmic errors below 0.35. The study also notes that different algorithms produced varied predictions for the two metrics.

• 대한치과기공학회지
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• 제35권3호
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• pp.243-257
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• 2013

Purpose: This study aims to analyze the factors affecting the dropout intentions of the dental technology students of a college. Methods: The subject of this study was 76 freshmen and 74 sophomores of dental technician major in an anonymous college. Results from the questionnaire called K-vision diagnosis program were computed by means of t-test, One-Way ANOVA, and correlation analysis. Results: 1. Total points of the drop out intention came to 782.14 points. Of the five categories concerned with the drop out intention, complain in college satisfaction(50.12points) was the highest and department satisfaction(47.51points) was the lowest. Of 16 subcategories, complaining in administrative supporting system proved the highest as 50.80 points and Inquiry to Professor the lowest(45.56 points). 2. Among the general characteristic gender (p<. 01), student group (p<.01), and credit (p<.05) made a meaningful statistical difference; no statistical significance was found in grade, admission, and dwellings. 3. Of the five categories, statistical significance was shown as follows; Department satisfaction (p<.01), College satisfaction (p<.05) under gender, Department satisfaction (p<.05) in grade, Academic integration (p<.01), Department satisfaction (p<.01) in credit. No statistical meaning was found in admission and dwellings. 4. Statistical significance was found under 16 subcategories as follows: Career identification(p<.01), Academic support system(p<.01), Social activity II(p<.05) in gender area, Inquiry to professor(p<.01), Learning(p<.05), Understanding learning I(p<.05) in grade area, Learning(p<.001), Career identification(p<.001), Understanding learning I(p<.01), Understanding learning II(p<.01), Inquiry to professor (p<.01), Learning ability (p<.05), Occupation (p<.05), Social Activity II(p<.05), Administrative support system (p<.05) in student group area, Credit (p<.001), Career identification (p<.01), Understanding learning I(p<.05) in credit area; admission and dwellings was statistically meaningless. 5. Of the 5 categories academic integration (r=.766) was most relevant to the dropout intention of the subjects and followed by department satisfaction (r=.735), college satisfaction (r=.554), service acceptability (r=.373), and statistical significance was shown as p<.01. Conclusion: Considering the results of this study, we are in a pressing need for the introduction of policies and programmes aiming at preventing the dropout rates of the dental technician majors at college. In tandem with this, qualitative and viable human resource management of the dental technicians should be implemented.

• 전자공학회논문지
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• 제49권9호
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• pp.370-378
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• 2012

본 연구에서는 다양한 모바일 기기에 운용 가능한 표준화와 고도화 기능을 충족시키기 위한 하이브리드 웹 기반의 스마트 러닝 시스템 구축 방안을 제안한다. 제안한 연구에서는 스마트 러닝 시스템 기능 정의를 바탕으로 표준 API 사양서 작성하고 이를 근거로 PC 기반의 e-러닝 시스템의 데이터를 API 연동 규격에 맞게 ASP 페이지를 구현한다. 그리고 PC 기반의 e-러닝 시스템과 모바일 기반의 스마트 러닝 시스템 간의 데이터 연동은 표준 API 방식 연동을 통한 Json/XML 형태의 데이터를 Https 프로토콜 기반으로 상호 연동을 수행하도록 한다. 제안한 시스템은 별도의 기반 시스템 및 지원 시스템 없이 즉시 데이터 교환이 가능한 구성을 가지며 PC 기반의 e-러닝 시스템의 수정 및 변화 없이 모바일 기반으로 학습 서비스가 가능함으로써 비용적인 측면에서 효과적인 시스템 구축이 가능함을 알 수 있다.

• 정보교육학회논문지
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• 제9권1호
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• pp.79-86
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• 2005

컴퓨터와 통신 기술이 발전함에 따라 네트워크를 통한 일반 사용자들의 컴퓨터 활용 빈도와 요구하는 데이터의 양이 급격히 증가되었다. 이에 따라 최근의 교육 시스템들은 정보의 활용성을 향상시키기 위하여 이질적인 시스템들을 의미상으로 연결하고 있다. 따라서 최근의 웹 기반 교수-학습은 학습자 스스로 학습 내용, 학습 시간 및 학습 순서를 선택하고 조직하는 유비쿼터스 학습방향으로 나아가고 있다. 즉, 학습자 개개인의 특성(선수 지식, 학습 양식, 흥미, 관심)에 맞는 적응적인 교수-학습 환경을 제공하는 방향으로 변화되고 있다. 본 논문은 유비쿼터스 학습 환경에서 다양한 분산정보의 통합을 위하여 사용자들이 요구하는 학습내용을 각 지역서버의 자치성을 유지하면서 효과적으로 학습하기 위한 미디에이터내의 처리방법에 대해 제안한다. 또한 과거와 최근의 학습내용의 활용형태가 다양하게 변할 수 있으므로 시간에 따른 감쇄율을 활용빈도에 적용하여 최근의 활용빈도의 변화에 민감하게 반응하고 활용형태의 변화에 따라 적응적으로 학습내용을 사용할 수 있는 방법을 제안한다.

• 재활치료과학
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• 제1권2호
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• pp.14-22
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• 2012

서론 : 뇌줄중 환자의 상지 운동 결손은 일상생활에서 수행하는 많은 활동에 큰 어려움을 겪게 만든다. 작업치료사들은 다양한 활동을 제공함으로써 일상생활의 참여를 돕기 위해서 노력하지만 학습자의 특성과 환경을 고려하지 않은 채 훈련이 이루어지고 있다. 따라서 본 연구는 운동 학습 이론과 원칙에 대해 알아보고 작업치료 영역에 적용하기 위한 임상적 고려에 대해 제언해보고자 한다. 본론 : 운동학습의 원칙으로는 학습의 단계, 과제의 형태, 실행 또는 연습, 피드백이 있는 학습의 단계에 따라 운동학습의 원칙을 적용할 수 있을 것이다. 초기단계에서는 학습목표와 작업환경에 대한 충분한 이해가 선행되어야 하며 지속적이며 차단된 연습, 전체 과제 연습이 학습을 촉진시킨다. 후기단계에서는 내제적 피드백에 의존하도록 유도하여야 하며 열린과제, 무작위 연습이 수행을 증진시킨다. 결론 : 치료기전으로 제공되는 다양한 운동학습의 원칙을 적용하기 위해서는 치료계획 수립 시에 체계적으로 결정되어야 할 것이다. 작업치료사들은 환자 각각의 평가결과를 바탕으로 환자의 수준에서 수행을 증진시킬 수 있는 효과적인 운동학습의 원칙을 계획하고 치료적 변화를 계속 모니터링하면서 변경시켜나가야 할 것이다.

• 치위생과학회지
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• 제22권2호
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• pp.115-125
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• 2022

Background: In the dental hygiene curriculum, efforts are being made to introduce an integrated curriculum based on the competency of a dental hygienist. Because there is a connection and overlap in learning contents between Dental Nutrition and Oral Biochemistry, which are basic dental hygiene subjects, it is possible to integrate these two subjects. This study aims to derive Nutritional Biochemistry as an integrated curriculum for Dental Nutrition and Oral Biochemistry, and to develop learning goals and competencies for Dental Nutritional Biochemistry. Methods: The learning contents of the integrated curriculum were composed by referring to the contents of the Dental Nutrition and Oral Biochemistry textbooks, and learning goals were derived from the learning contents. Moreover, competency was developed by analyzing the duties of a dental hygienist that can be performed through the learning goals. The Delphi survey was conducted twice to verify the content validity ratio (CVR) of the competence and the learning goal of the integrated curriculum. Results: In the first Delphi survey, the CVR for two competencies was 0.56 or higher. Moreover, it was revised based on expert's opinions, and as a result of the second Delphi survey after the revision, the CVR was either increased or maintained. Eighty-five learning goals were derived by referring to the textbook. According to CVR and expert opinions, after the first Delphi survey, the number of learning goals was reduced to 69. After the second Delphi survey, 68 learning goals were finally derived. Conclusion: The development process of the integrated curriculum conducted in this study can be utilized for integration between subjects in basic dental hygiene.

• 한국응급구조학회지
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• 제16권1호
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• pp.31-51
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• 2012

Purpose: This study was to develop PBL packages geared toward fostering the problem-solving ability, self-directed learning capability and communicative competence of emergency medical technician students and to give some suggestions on the development of PBL packages of the approach based on the evaluation results of the packages by experts. Methods: First, real clinical situations that learners would be exposed to after graduation should be provided as examples when the packages are developed. Second, a variety of learning-facilitating tools should be offered to facilitate their understanding, because they don't yet gain plenty of clinical practice experiences. Third, they should be encouraged to have an energetic discussion in small group when the developed packages are applied. Conclusion: First, the packages developed in this study were just incorporated into some areas of a single course. In the future, the integration of an entire course or the development of a new course is required to attain the multiple learning objectives in the provided clinical situations. Second, this study attempted to develop the PBL packages to boost the problem-solving ability, self-directed learning capability and communicative competence of emergency medical technician students, and follow-up research should be implemented to finalize the packages based on the suggestions of the experts who evaluated them and to determine the effects of the packages.

• Educational Technology International
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• 제21권1호
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• pp.1-29
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• 2020

Despite the existing body of literature focusing on the effects of one-to-one mobile technology integration in teaching and learning, research discussed that the determinants of mobile technology acceptance and use in secondary school settings are still unclear. Hence, this study examined the extent to which determinants influence high school students' behavioral intention to use one-to-one mobile technology for learning. The newly proposed model incorporated three additional constructs beyond those in the unified theory of acceptance and use of technology (UTAUT) model, including computer self-efficacy, attitude toward using technology and computer anxiety, as suggested by recent literature. Data were collected from 247 U.S. Midwestern high school students who participated in an online survey. Using a structural equation modeling approach, this study established construct validity for the nine-construct extended UTAUT model to assess high school students' intention to use mobile technology. The results of structural relations in the proposed model showed that their behavioral intention to use mobile technology was significantly predicted by social influence and attitude toward using technology. Also, their strong behavioral intention and facilitating conditions were associated with frequent use of mobile technology in learning. Discussion, implications, and conclusion were addressed in this study.

• 센서학회지
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• 제31권2호
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• pp.96-101
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• 2022

As the elderly population gradually increases, the risk of fatal fall accidents among the elderly is increasing. One way to cope with a fall accident is to determine the fall direction before impact using a wearable inertial measurement unit (IMU). In this context, a previous study proposed a method of classifying fall directions using a support vector machine with sensor velocity, acceleration, and tilt angle as input parameters. However, in this method, the IMU signals are processed through several processes, including a Kalman filter and the integration of acceleration, which involves a large amount of computation and error factors. Therefore, this paper proposes a machine learning-based method that classifies the fall direction before impact using IMU raw signals rather than processed data. In this study, we investigated the effects of the following two factors on the classification performance: (1) the usage of processed/raw signals and (2) the selection of machine learning techniques. First, as a result of comparing the processed/raw signals, the difference in sensitivities between the two methods was within 5%, indicating an equivalent level of classification performance. Second, as a result of comparing six machine learning techniques, K-nearest neighbor and naive Bayes exhibited excellent performance with a sensitivity of 86.0% and 84.1%, respectively.

• 실천공학교육논문지
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• 제16권2호
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• pp.143-150
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• 2024

With the development of AI, multimedia tools in education offer personalized learning environments, which foster individual competencies. This study aims to examine the effectiveness of smart education as perceived by learners through a case study of university writing classes utilizing multimedia learning tools, and to explore potential applications. To achieve this, a writing course incorporating various multimedia tools to promote interaction was designed and implemented over the course of one semester, targeting 42 university students. Through the semester, student reactions and survey results were analyzed to investigate the effects and satisfaction levels regarding the use of multimedia learning tools in writing instruction as perceived by students. The analysis revealed that multimedia-assisted writing classes effectively fostered learners' autonomy by focusing on individual needs, while also promoting interaction and encouraging spontaneous participation. Students reported recognizing the presence of diverse perspectives by comparing and communicating about each other's writing, leading to an expansion of their own thinking. In using ChatGPT, it was found that students attempted to refine their questions until they obtained the desired answers. They reported that this process deepened their understanding of the essence of the questions. These benefits led to results of high levels of students' active class engagement and satisfaction. This study contributes foundational and empirical data regarding the effectiveness and potential applications of learner-centered smart education as part of fourth industrial revolution integration research.