• 보건교육건강증진학회지
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• 제26권2호
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• pp.63-73
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• 2009

Objectives: The purpose of this study was to identify the degree of internet addiction and factors affecting internet addiction in elementary school students. Methods: A cross-sectional survey design was employed in this study. The subjects were 378 students who were recruited from 5th and 6th grade in five elementary schools in J city, Korea. Data were collected through a structured questionnaire. The data were analyzed using the SPSS Win 10.1 program. Results: Of the children, 51.9% reported being average online users, 45.5%, heavy online users, and 2.6%, internet addicted. The level of internet addiction of subjects correlated significantly with the behavioral activation system, behavioral inhibition system, family cohesion, and learned self-concept, but not family adaptability. Significant predictors influencing internet addiction were the behavioral activation system, learned self-concept, and family cohesion. These predictors accounted for 22% of variance in internet addiction. Conclusion: This study found that the behavioral activation system in personality aspects, family cohesion in the family system, and learned self-concept are primary factors that explain internet addiction among elementary students. We suggest these results be used to develop an online addiction prevention or treatment program.

• 산업경영시스템학회지
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• 제19권39호
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• pp.47-61
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• 1996

We propose a parallel neural network model in which patterns are clustered and patterns in a cluster are studied in a parallel neural network. The learning algorithm used in this paper is based on LVQ algorithm of Kohonen(1990) for clustering and ADALINE(Adaptive Linear Neuron) network of Widrow and Hoff(1990) for parallel learning. The proposed algorithm consists of two parts. First, N patterns to be learned are categorized into C clusters by LVQ clustering algorithm. Second, C patterns that was selected from each cluster of C are learned as input pattern of ADALINE(Adaptive Linear Neuron). Data used in this paper consists of 250 patterns of ASCII characters normalized into $8\times16$ and 1124. The proposed algorithm consists of two parts. First, N patterns to be learned are categorized into C clusters by LVQ clustering algorithm. Second, C patterns that was selected from each cluster of C are learned as input pattern of ADALINE(Adaptive Linear Neuron). Data used in this paper consists 250 patterns of ASCII characters normalized into $8\times16$ and 1124 samples acquired from signals generated from 9 car models that passed Inductive Loop Detector(ILD) at 10 points. In ASCII character experiment, 191(179) out of 250 patterns are recognized with 3%(5%) noise and with 1124 car model data. 807 car models were recognized showing 71.8% recognition ratio. This result is 10.2% improvement over backpropagation algorithm.

• 철학연구
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• 제105권
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• pp.95-126
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• 2008

최근 한국 사회는 학문 공동체에서의 연구위반 사례에 대해 잘 알게 되었다. 날조와 표절 등 연구윤리의 스캔들과 연관된 황우석 교수, 전 교육부 장관 김병준, 전 고려대 총장 이필상과 같은 이들에 의해 연구윤리는 중요한 사회적 이슈가 되었다. 먼저 서울대학교 황우석 연구자는 2005년도에 발표된 논문에 데이터의 날조와 변조 활용에 대한 책임을 완전히 시인하였다. 본 논문에서는 황우석 사례를 통해 배운 중요한 교훈으로 데이터의 날조 및 변조의 문제뿐만 아니라 국제적으로 통용될 수 있는 연구윤리 규정의 필요성, 올바른 저자 표시와 공로배분 및 공동 연구자들의 책임감, 인간 인체 대상 실험과 불충분한 보호, 이해갈등이란 연구윤리의 문제 등을 제시하였다. 황우석 사건 이후의 중요한 연구부정 사례로서 김병준 사례가 있다. 김병준 사건의 교훈으로서 표절 자기표절의 기준 문제, 과거 표절 청산과 표절 기준 적용 시점의 문제 등을 제시하였다. 보다 최근의 고려대 이필상 사례는 연구부정행위의 조사 절차와 후속 조치의 문제, 연구지도의 문제, 바람직한 내부고발의 문제 둥을 교훈으로 제시하였다. 이러한 사례들의 개요와 교훈에 대한 결론적 고찰을 통해 다음과 같은 교훈을 제시하였다. 첫째, 연구윤리와 관련된 제도적 정비의 계기 마련이며 둘째, 언론 및 미디어의 역할 제고이다. 셋째, 연구윤리교육의 필요성과 방향성에 대한 모색이다. 정부나 대학 그리고 연구기관이나 학회들은 황우석 사건 및 그 이후의 사례들에서 보이는 여러 연구윤리에 대한 문제점들과 교훈들을 배우고 연구윤리를 위한 교육 프로그램, 가이드라인 그리고 제도적 방책들을 마련해야 할 것이다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.932-937
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• 2003

When oil pressure of damper is lost or relative stiffness of spring drops in vibration system, it can be fatally dangerous situation. A fault diagnosis method for vibration system using Support Vector Machine(SVM)is suggested in the paper. SVM is used to classify input data or applied to function regression. System status can be classified by judging input data based on optimal separable hyperplane obtained using SVM which learns normal and abnormal status. It is learned from the relationship of system state variables in term of spring, mass and damper. Normal and abnormal status are learned using phase plane as in put space, then the learned SVM is used to construct algorithm to predict the system status quantitatively

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.485-486
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• 2019

Simulated driving behavior is an important aspect of realistic simulation systems. To simulate natural driving behavior, this paper proposes an imitation learning method based on active learning that combines demonstration and experience. Driving demonstrations are collected from human drivers in a driving simulator. A driving behavior policy is learned from these demonstrations. The driving demonstration dataset is augmented with new demonstrations that the original demonstrations did not contain, in the form of behaviors from another driving behavior policy learned from experience. The final driving behavior policy is learned from an augmented demonstration dataset.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.173-175
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• 2022

국방 각급 부대는 망연계 자료교환 시스템에 의해 인터넷과 국방망을 연계하여 데이터를 수집하고 있다. 또한, 안전한 국방 데이터수집과 빅데이터 환경조성을 위해 악성코드를 내재한 데이터들을 차단 및 분류하는 데이터 검열을 수행한다. 그러나 수집되는 데이터들이 새로운 악성코드를 내재할 경우, 현재 운용되고 있는 국방 시스템으로 식별하는 것이 불가능하여 외부로부터의 보안위협이 존재한다. 따라서 본 논문에서는 새로운 악성코드 위협에도 대응할 수 있는 Learned MAPE-K 기반 자료교환 시스템을 제안한다.

• 한국수학교육학회지시리즈A:수학교육
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• 제56권1호
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• pp.1-17
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• 2017

The purpose of this study is to analyze the differences between the cognitive load of mathematics textbooks based on storytelling and traditional mathematics textbooks that are presented to students. In order to verify this, we have selected two 4th grade classes in elementary school that were identified as a homogeneous group through prior testing, and thus were separated into experimental group and comparative group. Then, without the teacher's lessons, the experimental group learned from mathematics textbooks based on storytelling and the comparative group learned from traditional mathematics textbooks. Afterwards, the two groups' cognitive load was measured through a questionnaire, and the following results were obtained: In the 'mental effort' and 'self evaluation' categories, the students that learned from the mathematics textbook based on storytelling showed higher scores than the students that learned from the traditional mathematics textbook. also there was statistically significant difference in some items. However, no statistically significant difference was found in the remaining categories 'task difficulty', 'self evaluation', and 'material design'.

• 한국응급구조학회지
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• 제27권3호
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• pp.101-111
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• 2023

Purpose: This study attempted to identify how academic self-efficacy, grit, and learned helplessness influence Academic delay behavior in college students and provide a foundation for reducing Academic delay behavior in college students. Methods: Data was collected from October 12, 2023 to October 30, 2023 using a structured questionnaire from 170 college students at a university in City D. The data was collected using a structured questionnaire. Results: Academic delay behaviors were significantly negatively correlated with academic self-efficacy (r=-.371, p<.001) and grit (r=-.562, p=.012), and significantly positively correlated with learned helplessness (r=.341, p<.001). Conclusion: Finally, In order to reduce academic delay behaviors among college students, it is necessary to actively utilize educational environments that promote academic achievement and grit, academic-related counseling programs, and learning environments that do not suffer from academic helplessness.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2006년도 추계 학술발표회
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• pp.3-20
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• 2006

The following lessons have been learned from the application of reliability methods in the practice of geotechnical engineering: 1. Establishing Goals Is Important; 2. Mitigating Consequences Can Be Effective; 3. Performance Depends on Systems; 4. Physical Factors Are Important in Statistical Models; 5. Too Much and Too Little Conservatism Are Both Problems; 6. Value of Information Depends on Decision Making; and 7. Effective Communication Is Essential. While the potential for application of reliability methods in the future is unlimited, there are major needs related to each of these lessons that will have to be addressed in order to realize this potential.

• 음성과학
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• 제5권2호
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• pp.7-16
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• 1999

Starting as a poet, I learned about the sounds of words with David Abercrombie. Then, remembering my background in physics, I moved to studying acoustic phonetics and speech synthesis. From there I learned about psychology and how. to test perceptual theories. A meeting with a physiologist led to work on the use of the respiratory muscles in speech. Later I landed in Africa teaching English phonetics and learning about African languages. When I went to UCLA to set up a lab I was able to find bright students who helped make computer models of the vocal tract and taught me linguistic theory. And I was able to continue wandering around the world, describing the sounds of a wide range of languages.