• Korean Journal of Health Education and Promotion
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• v.26 no.2
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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.

• Proceedings of the KIEE Conference
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• 2004.11c
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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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• 2003.10a
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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.

• Proceedings of the KIEE Conference
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• 2002.11c
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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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• v.6 no.5
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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.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.578-587
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• 2020

The purpose of this study was to provide information to prevent and manage the risk factors of adolescent health behavior by identifying the relationship between smartphone use and the intake of sugar-sweetened beverages of Korean adolescents. Data from the 2017 Korean Youth Risk Behavior Survey of 54,603 adolescents was used for this study. The study examined the variables related to general characteristics, smartphone use, and intake of sugar-sweetened beverages. Complex sample analysis was done by performing multivariate logistic regression analysis. Smartphone usage time (aOR = 2.19, 95%CI = 2.05-2.34) and smartphone use for communication (aOR = 1.51, 95%CI = 1.43-1.60) were associated with three or more times per week of SODA beverage intake. In addition, adolescents who experienced conflicts with family were associated with SODA beverage intake (aOR = 1.42, 95%CI = 1.33-1.51), conflict with friends was associated with sweet beverage intake (aOR = 1.39, 95%CI = 1.30-1.49), and study problems were associated with SODA beverage intake (aOR = 1.79, 95%CI = 1.54-2.07). Therefore, controlling the use of Smartphones in schools and homes and creating an environment in which communication skills can be learned can help adolescents reduce the intake of sugar-sweetened beverages. Positive relationships with family and friends, and appropriate management of academic stress can help reduce inappropriate health behaviors associated with smartphone use by adolescents.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1051-1058
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• 2021

Barges that are towed by tugs do not have navigation capabilities and are usually connected to tugs. These kinds of combined navigation schemes have generated almost ten percent of all maritime accidents in the last five years. The study aims to reduce maritime accidents with barges towed by tugs by analyzing navigation characteristics and the current status of such combined navigation schemes. The analysis consists of the lesson learned from each verdict. The result of the study emphasizes that human factors continue to be the primary cause of maritime accidents with barges and tugs. Additionally, the research proposes that effective advertising for improving maritime safety by reducing towing barge maritime accidents should be created through associations of tugs and barges. Furthermore, relevant re-training must be conducted by maritime training institutions. The results of the study are expected to apply to the improvement of maritime safety through the advertisements to seafarers.