• 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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.496-498
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• 2004

An action-selection-mechanism is proposed to deal with sequential behaviors, where associations between some of stimulus and behaviors will be learned by a shortest-path-finding-based reinforcement team ins technique. To be specific, we define behavioral motivation as a primitive node for action selection, and then sequentially construct a network with behavioral motivations. The vertical path of the network represents a behavioral sequence. Here, such a tree fur our proposed ASM can be newly generated and/or updated. whenever a new sequential behaviors is learned. To show the validity of our proposed ASM, some experimental results on a "pushing-box-into-a-goal task" of a mobile robot will be illustrated.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2027-2032
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• 2003

For action selection as well as learning, simple associations between stimulus and response have been employed in most of literatures. But, for a successful task accomplishment, it is required that an animat can learn and express behavioral sequences. In this paper, we propose a novel action-selection-mechanism to deal with sequential behaviors. For this, we define behavioral motivation as a primitive node for action selection, and then hierarchically construct a network with behavioral motivations. The vertical path of the network represents behavioral sequences. Here, such a tree for our proposed ASM can be newly generated and/or updated, whenever a new sequential behaviors is learned. To show the validity of our proposed ASM, three 2-D grid world simulations will be illustrated.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.178-182
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• 2002

For action selection as well as teaming, simple associations between stimulus and response have been employed in most of literatures. But, for successful task accomplishment, it is required that artificial life system can team and express behavioral sequences. In this paper, we propose a novel action-selection-mechanism to deal with behavioral sequences. For this, we define behavioral motivation as a primitive node for action selection, and then hierarchically construct a tree with behavioral motivations. The vertical path of the tree represents behavioral sequences. Here, such a tree for our proposed ASM can be newly generated and/or updated, whenever a new behavioral sequence is learned. To show the validity of our proposed ASM, three 2-D grid world simulations will be illustrated.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권5호
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• pp.1373-1387
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• 2012

Contextual advertising is an important revenue source for major service providers on the Web. Ads classification is one of main tasks in contextual advertising, and it is used to retrieve semantically relevant ads with respect to the content of web pages. However, it is difficult for traditional text classification methods to achieve satisfactory performance in ads classification due to scarce term features in ads. In this paper, we propose a novel ads classification method that handles the lack of term features for classifying ads with short text. The proposed method utilizes a vocabulary expansion technique using semantic associations among terms learned from large-scale search query logs. The evaluation results show that our methodology achieves 4.0% ~ 9.7% improvements in terms of the hierarchical f-measure over the baseline classifiers without vocabulary expansion.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.877-880
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• 1993

Fuzzy control algorithms are developed based on fuzzy models of systems. The control issues are posed as multiobjective optimization problems involving goals and constraints imposed on system's variables. Two basic design modes embrace on-and off-line control development. The first type of design deals with the time and state-dependent objectives and pertains to control determination based upon the current state of the system. The second design mode gives rise to explicit forms of fuzzy controller that is learned based on a given list of state-control associations. Both the fuzzy models as well as fuzzy controllers are realized as logic processors.

• 한국산학기술학회논문지
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• 제21권2호
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• pp.578-587
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• 2020

본 연구는 한국 청소년의 스마트폰 사용과 가당 음료 섭취의 관련성을 파악하여 청소년 건강행위의 위험요인을 예방하고 관리하기 위한 정보제공을 목적으로 수행되었다. 2017년 한국 청소년 건강행태 조사를 기반으로 스마트폰을 사용하고 있는 54,603명의 청소년의 자료가 사용되었다. 일반적 특성, 스마트폰 사용 및 가당 음료 섭취와 관련된 변수는 익명으로 관리되는 온라인 설문 조사를 통해 수행되었다. 다변량 로지스틱 회귀분석을 통한 복합표본분석이 사용되었다. 스마트폰 사용 시간(aOR = 2.19, 95%CI = 2.05-2.34)과 커뮤니케이션을 위한 스마트폰의 사용 목적(aOR = 1.51, 95%CI = 1.43-1.60)은 주 3회 이상 탄산음료 섭취와 관련이 있었다. 또한 스마트폰 사용으로 인한 가족과의 갈등은 탄산음료 섭취와 관련이 있었고(aOR = 1.42, 95%CI = 1.33-1.51), 친구와의 갈등은 단맛 음료 섭취와 관련이 있었으며 (aOR = 1.39, 95%CI = 1.30-1.49), 학업문제 경험은 탄산음료 섭취와 관련이 있었다(aOR = 1.79, 95%CI = 1.54-2.07). 그러므로 학교와 가정에서 스마트폰 사용을 통제하고 올바른 커뮤니케이션 기술을 학습할 수 있는 환경을 조성하는 것이 청소년의 가당 음료 섭취 감소에 도움이 될 수 있다. 또한 가족과 친구와의 긍정적 관계, 학업 스트레스의 적절한 관리는 청소년의 스마트폰 사용과 관련된 부적절한 건강행위 감소에 도움이 될 수 있을 것이다.

• 해양환경안전학회지
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• 제27권7호
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• pp.1051-1058
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• 2021

예부선의 운항은 일반적으로 자항능력을 갖추고 있지 못한 부선과 예인선을 결합하여 운항하는 해상운송의 한 형태로 해양안전심판원이 해마다 발행하는 재결사례집에 실린 재결을 분석하여보면 지난 5년간의 해양사고 6백여 건 중 예인선은 65척, 부선은 총 69척에서 사고가 발생한 것으로 나타났다. 본 논문은 예부선 사고의 저감 대책을 제안하기 위하여, 예부선의 운항 형태와 운항현황을 알아보고, 재결에 나타난 주요 사고 형태별 사고방지 교훈 내용을 분석하였다. 이를 통하여 인적요소가 해양사고의 원인으로서 차지하는 비율이 크다는 것을 확인할 수 있었다. 또한 본 연구는 사고방지를 위하여 예부선 운항자들에 대한 관련 내용의 효율적인 홍보와 교육을 위한 방안으로서 예부선 협회를 통해 홍보하는 방안과 한국해양수산연수원의 예인선직무교육에 교육자료 형태로 제공하는 방안, 한국해운조합을 통해 홍보물을 배포하는 방법 등을 제안하였다. 이러한 연구 결과는 예부선 사고에서 나타난 사고방지 교훈을 본 연구에서 제안한 홍보방식을 통하여 효과적인 교육을 실현하여 예부선 사고의 저감에 활용될 것으로 기대된다.