• 디지털융복합연구
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• 제14권2호
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• pp.245-258
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• 2016

본 논문에서는 기계학습과 관련된 다양한 사례들에 대한 연구를 바탕으로 기계학습 응용 및 학습 알고리즘의 성능 개선 방안을 제시한다. 이를 위해 기계학습 기법을 적용하여 결과를 얻어낸 문헌을 자료로 수집하고 학문분야로 나누어 각 분야에서 적합한 기계학습 기법을 선택 및 추천하였다. 공학에서는 SVM, 의학에서는 의사결정나무, 그 외 분야에서는 SVM이 빈번한 이용 사례와 분류/예측의 측면에서 그 효용성을 보였다. 기계학습의 적용 사례분석을 통해 응용 방안의 일반적 특성화를 꾀할 수 있었다. 적용 단계는 크게 3단계로 이루어진다. 첫째, 데이터 수집, 둘째, 알고리즘을 통한 데이터 학습, 셋째, 알고리즘에 대한 유의미성 테스트 이며, 각 단계에서의 알고리즘의 결합을 통해 성능을 향상시킨다. 성능 개선 및 향상의 방법은 다중 기계학습 구조 모델링과 $+{\alpha}$ 기계학습 구조 모델링 등으로 분류한다.

• International Journal of Internet, Broadcasting and Communication
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• 제12권2호
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• pp.120-126
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• 2020

Studies are being conducted regarding falling recognition using sensors on smartphonesto recognize falling in human daily life. These studies use a number of sensors, mostly acceleration sensors, gyro sensors, motion sensors, etc. Falling recognition system processes the values of sensor data by using a falling recognition algorithm and classifies behavior based on thresholds. If the threshold is ambiguous, the accuracy will be reduced. To solve this problem, Deep learning was introduced in the behavioral recognition system. Deep learning is a kind of machine learning technique that computers process and categorize input data rather than processing it by man-made algorithms. Thus, in this paper, we propose a falling recognition application system using deep learning based on smartphones. The proposed system is powered by apps on smartphones. It also consists of three layers and uses DataBase as a Service (DBaaS) to handle big data and address data heterogeneity. The proposed system uses deep learning to recognize the user's behavior, it can expect higher accuracy compared to the system in the general rule base.

• 한국게임학회 논문지
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• 제14권4호
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• pp.95-104
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• 2014

본 연구에서는 수학 모바일 애플리케이션을 활용한 연산학습이 수학 학습부진아의 연산 유창성과 수학 학습동기에 미치는 영향을 알아보았다. 수학 유창성이란 수학적 질문에 빠르고 정확하게 대답하는 학생의 능력을 말한다. 초등학교 4학년에 재학 중인 수학 학습부진아동 24명을 대상으로 실험집단에는 수학 모바일 애플리케이션을 활용한 연산학습을, 비교집단에는 연산학습지를 활용한 연산학습을 실시하였다. 연구 결과 수학 모바일 애플리케이션을 활용한 연산학습은 수학 학습부진아의 연산유창성 향상에 긍정적인 영향을 미쳤다. 수학 유창성 면에서 수학 모바일 애플리케이션을 활용한 연산학습은 학습지를 활용한 연산학습보다 수학 유창성 향상에 더 효과적이었다. 또한 수학 모바일 애플리케이션을 활용한 연산학습은 수학 학습부진아의 수학 학습동기에도 긍정적인 영향을 미치는 것으로 나타났다.

• 디지털콘텐츠학회 논문지
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• 제17권4호
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• pp.265-272
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• 2016

중국어 학습에 대한 사회적 관심과 시장이 확대되고 스마트폰 어플리케이션을 기반으로 한 스마트러닝이 교육의 새로운 패러다임으로 자리 잡으면서 중국어 교육을 위한 어플리케이션의 연구와 개발도 활발해지고 있다. 본 논문에서는 스마트폰의 멀티미디어 구현 특성과 사용자 인터렉션 기능을 활용하여 기초적인 중국어 한자를 학습할 수 있는 '중국어 교육용 기능성 어플리케이션'을 설계하고 프로토타입을 구현하여 제시하였다. 중국어 한자 표현, 발음 청취, 음성 녹음 및 비교 청취, 관련 내용 학습, 테스트 등의 기능을 간편한 사용자 인터페이스로 구현하였다. 향후 연구에서는 중국어 회화에 적용될 수 있는 사용자 인터페이스와 학습자 개인별 평가 지수 등을 통해 추가적인 도구 없이도 효과적인 학습이 가능한 프로토타입을 개발할 것이다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.1039-1042
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• 1995

In real time application such as motion control, it is hard to find the application of non-causal filtering due to its need for future position data, even though it shows wide usage in off-line digital signal processing. Recently, some of motion control areas such as learning and repetitive control use non-causal filtering technique in their application. these kinds of zero-lag non-causal filter application are very usful not only to reduce the machine vibration, but also to increase control accuracy with comparatively less work. In this paper, genuine method to implement zero-lag non-causal filter in a CNC is introduced. Also the variation of this implementation for the learning operation is suggested to give the NC better control performance for a specific job. By adopting the new NC architecture call Soft-NC, all these implementions are made possible here, and especially large memory requirement which hinders their usage for many years is no longer barrier in their real world application.

• International Journal of Contents
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• 제12권1호
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• pp.54-59
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• 2016

The purpose of this paper is to discover how the use of digital applications can affect students' attitudes toward positive classroom participation and performance in learning a foreign language. Participants of this study were 128 students who took a foreign language class at a high school in central Korea. To find out students' perceptions and attitudes toward the effect of using a digital application for their foreign language study, online questionnaire and focus-group interview were conducted. Our research findings revealed that these students could engage in active language learning and experience learning improvement while studying a foreign language with digital applications. The improvement was possible by creating more interactive activities and quizzes. In addition, the digital application provided students immediate feedback. It gave students and teachers various motivations beyond the traditional 'chalk and talk' format of text-only-classes. This study provides an overview of the usefulness of digital application. In addition, it provides understanding for students' perceptions and involvement using digital application in a foreign language classroom.

• 스마트미디어저널
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• 제11권2호
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• pp.39-52
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• 2022

In the context of the evolution of automation and intelligence, deep learning and machine learning algorithms have been widely applied in aquaculture in recent years, providing new opportunities for the digital realization of aquaculture. Especially, water quality management deserves attention thanks to its importance to food organisms. In this study, we proposed an end-to-end deep learning-based TabNet model for water quality prediction. From major indexes of water quality assessment, we applied novel deep learning techniques and machine learning algorithms in innovative fish aquaculture to predict the number of water cells counting. Furthermore, the application of deep learning in aquaculture is outlined, and the obtained results are analyzed. The experiment on in-house data showed an optimistic impact on the application of artificial intelligence in aquaculture, helping to reduce costs and time and increase efficiency in the farming process.

• International Journal of Advanced Culture Technology
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• 제6권4호
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• pp.262-265
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• 2018

Deep learning, a sub-field of machine learning changing the prospects of artificial intelligence (AI) because of its recent advancements and application in various field. Deep learning deals with algorithms inspired by the structure and function of the brain called artificial neural networks. This works reviews basic architecture and recent advancement of deep structured learning. It also describes contemporary applications of deep structured learning and its advantages over the treditional learning in artificial interlligence. This study is useful for the general readers and students who are in the early stage of deep learning studies.

• 보건교육건강증진학회지
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• 제21권3호
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• pp.151-177
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• 2004

Recently, the educational community has attempted to implement the theory of multiple intelligences. In approaching multiple intelligences, teachers have applied the same structural approach which has been so successful with cooperative learning. Cooperative learning is easy to learn and implement, fun for teachers and students, and produce profoundly positive outcomes along a remarkable number of dimensions. Different structures are designed for different outcomes, including enhanced mastery of subject matter, improved thinking skills, team building, class building, development of social character and social skills, communication skills, classroom management, classroom discipline, and development of and engagement of each of the multiple intelligences. Cooperative learning is becoming an increasingly popular teaching strategy. In this study, it is aimed to clarify the application of cooperative learning in health education. Cooperative Learning in health education enhances student learning by: 1) providing a shared cognitive set of information between students, 2) motivating students to learn the material, 3) ensuring that students construct their own health knowledge, 4) providing formative feedback, 5) developing social and health group skills necessary for success outside the classroom, and 6) promoting positive interaction between members of different cultural and socio-economic groups. Cooperative Learning structures and techniques in health education are following. Flash Card, Focused Listing, Structured Problem-solving, Paired Annotations, Structured Learning Team Group Roles, Send-A-Problem, Value Line, Uncommon Commonalities, Team Expectations, Double Entry Journal, Guided Reciprocal Peer Questioning, What if. Because the purpose of health education is the practice, therefore health specialists have to guide powerful and effective teaching method The application of cooperative learning in health education may improve its effectiveness.

• 디지털융복합연구
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• 제11권5호
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• pp.423-428
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• 2013

본 논문은 스마트폰 애플리케이션 제작을 문학수업을 위한 학습도구로 활용하는 방안을 제안하였다. 신세대 문학전공자들은 이론적 지식습득이라는 전통적 수업방식에 안주하지 않고 그들의 관심과 요구에 부합하는 애플리케이션 저작도구를 활용한 스마트폰 애플리케이션 제작의 과정을 익힘으로 전공의 "탈영역화(deterritorialization)"를 경험할 수 있다. 또한 이러한 새로운 학습방법은 학습자들이 문학적 소양을 높일 수 있음은 물론이거니와 현실에 적용 가능한 학습을 요구하는 그들의 학습욕구를 충족시켜주는 실용학문으로서의 역할을 수행할 수 있다는 장점을 가진다. 나아가 문학은 모바일 애플리케이션 콘텐츠 개발의 중요한 자원이 될 수 있다는 가능성을 인지할 수 있다.