• 가정과삶의질연구
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• 제32권3호
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• pp.45-63
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• 2014

The purpose of this study was to examine the effects of adolescents' school adjustment on depression in their transitional period and to find the moderating effects of parental support, parental monitoring, and peer support on the relationship between school adjustment and depression. The participants were 550 first graders in three middle schools in Incheon Metropolitan City and Kyung-gi Province. The major findings of this study were as follows: First, adolescents' school adjustment had significant effects on depression. The lower the level of school adjustment was, the higher the level of depression was. Second, parental support, parental monitoring, and peer support had moderating effects on the relationship between school adjustment and depression. Parental support decreased the depression of adolescents who were at a lower level of adjustment to peer relationship or school class. Parental monitoring decreased the depression of adolescents who were at a lower level of adjustment to school adjustment. On the contrary, parental monitoring increased the depression of adolescents who were at a higher level of adjustment to school adjustment. Peer support decreased the depression of adolescents who were at a lower level of adjustment to school class.

• 한국대기환경학회지
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• 제23권5호
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• pp.526-538
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• 2007

Since air quality monitoring data sets are important base for developing of air quality management strategies including policy making and policy performance assessment, the environmental protection authorities need to organize and operate monitoring network properly. Air quality monitoring network of Busan, consisting of 18 stations, was allocated under unscientific and irrational principles. Thus the current state of air quality monitoring networks was reassessed the effect and appropriateness of monitoring objectives such as population protection and sources surveillance. In the process of the reassessment, a GIS-based decision support system was constructed and used to simulate air quality over complex terrain and to conduct optimization analysis for air quality monitoring network with multi-objective. The maximization of protection capability for population appears to be the most effective and principal objective among various objectives. The relocation of current monitoring stations through optimization analysis of multi-objective appears to be better than the network building for maximization of population protection capability. The decision support system developed in this study on the basis of GIS-based database appear to be useful for the environmental protection authorities to plan and manage air quality monitoring network over complex terrain.

• 풍력에너지저널
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• 제9권4호
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• pp.16-23
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• 2018

A damage detection method for the tripod support structure of offshore wind turbines is presented for structural health monitoring. A finite element model of a prototype tripod support structure is established and the modal properties are calculated. The degree and location of the damage are estimated based on the neural network technique using the changes of natural frequencies and mode shape due to the damage. The stress distribution occurring in the support structure is obtained by a dynamic analysis for the wind turbine system to select the output data of the neural network. The natural frequencies and mode shapes for 36 possible damage scenarios were used for the input data of the learned neural network for damage assessment. The estimated damages agreed reasonably well with the accurate ones. The presented method could be effectively applied for damage detection and structural health monitoring of various types of support structures of offshore wind turbines.

• 한국심리학회지 : 문화 및 사회문제
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• 제28권4호
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• pp.691-715
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• 2022

본 연구에서는 인스타그램 부계정 사용과 지각된 온라인 사회적 지지, 자기감시성, 그리고 주관적 안녕감의 관계를 살펴보았다. 더 나아가, 자기감시성과 지각된 온라인 사회적 지지의 관계를 인스타그램 계정 수가 매개하는지 알아보았다. 이를 위하여 20대 성인을 대상으로 온라인 조사 연구를 수행하였으며, 총 396명의 자료를 수집하였다. 분석 결과, 인스타그램 계정 수는 지각된 온라인 사회적 지지 및 자기감시성과 정적 상관을 보였으나, 주관적 안녕감과는 유의한 상관을 보이지 않았다. 다음으로, 자기감시성이 인스타그램 부계정 사용에 미치는 영향을 분석한 결과, 자기감시성이 높을수록 부계정을 사용할 확률이 높음을 알 수 있었다. 또한, 인스타그램 계정 수는 자기감시성과 지각된 온라인 사회적 지지의 관계를 부분 매개하는 것으로 나타났다. 즉, 자기감시성이 높을수록 인스타그램 계정이 많았으며, 많은 인스타그램 계정은 지각된 온라인 사회적 지지의 수준을 증가시키는 것으로 나타났다. 본 연구는 국내에서 최초로 인스타그램 부계정 사용과 지각된 온라인 사회적 지지, 자기감시성 및 주관적 안녕감의 관계를 확인하였으며, 자기감시성이 인스타그램 계정 수를 매개로 하여 지각된 온라인 사회적 지지로 이어지는지 탐색하였다는 데 의의가 있다. 또한, 온라인 상호 작용이 현실 세계와 어떻게 연결되는지 조명했다는 점에서 사회적 의의도 지닌다.

• 가정과삶의질연구
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• 제24권1호
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• pp.271-286
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• 2006

The purpose of this study was to investigate the effect of parenting processes(parental support, monitoring, communication about sexuality) on college students' sexual attitudes and sexual behaviors. For this purpose, a survey was conducted using self-administered questionnaires with 361 college students. The results showed that both sexual attitudes and sexual behaviors were different according to sex, age, and dating period. In addition, sexual attitudes of males were correlated with father's support, mother's support and monitoring of parenting processes. It also found that the direct sexual behaviors were correlated with mother's support. Finally, results of multiple regression analysis showed that sex, parents' support, monitoring and communication about sexuality influenced sexual attitudes. Sex and parents' support had indirect influence on sexual behaviors. Experience of dating and communication about sex had direct influence on sexual behavior.

• 조명전기설비학회논문지
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• 제26권1호
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• pp.38-43
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• 2012

For safe and stable operations of power plants, it is essential to monitor closely crucial measurement values related to power plant trips. In this paper, an intelligent power plant operating state monitoring technique enabling the operating crew member to monitor conveniently the status of the important measurement values and to perceive almost instantly the significance of the implications of those measurement values is developed. The proposed technique is called a "POST(Plant Operating State Tracking) Chart" technique and provides the foundations in developing an intelligent and integrated power plant operating state monitoring support system called the "P-OASIS"(Plant Operation Assessment and Support Intelligent System). The P-OASIS is applied to a thermal power plant of 500[MW] capacity and exhibited impressive performances.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권2호
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• pp.140-145
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• 2008

In this paper, we constructed the advanced cargo monitoring system for liquid cargo tankers which embedded the Decision Support System (DSS) based on the International Ship Management Code (ISM Code). To make this system, we first organized a base of expert's knowledge concerning liquid tanker operations that largely affect ocean accidents. We can find out the knowledge via inference method which simply imitates the fuzzy inference method. Based on this expert's knowledge, we constructed the DSS that provides a code of conduct for operating cargo tanks safely. The proposed monitoring system could eliminate human error when confronting dangerous situations, so the system will help sailors to operate cargo tanks safely.

• Computers and Concrete
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• 제20권5호
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• pp.555-562
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• 2017

The accuracy and integrity of stress data acquired by bridge heath monitoring system is of significant importance for bridge safety assessment. However, the missing and abnormal data are inevitably existed in a realistic monitoring system. This paper presents a data reconstruction approach for bridge heath monitoring based on the wavelet multi-resolution analysis and support vector machine (SVM). The proposed method has been applied for data imputation based on the recorded data by the structural health monitoring (SHM) system instrumented on a prestressed concrete cable-stayed bridge. The effectiveness and accuracy of the proposed wavelet-based SVM prediction method is examined by comparing with the traditional autoregression moving average (ARMA) method and SVM prediction method without wavelet multi-resolution analysis in accordance with the prediction errors. The data reconstruction analysis based on 5-day and 1-day continuous stress history data with obvious preternatural signals is performed to examine the effect of sample size on the accuracy of data reconstruction. The results indicate that the proposed data reconstruction approach based on wavelet multi-resolution analysis and SVM is an effective tool for missing data imputation or preternatural signal replacement, which can serve as a solid foundation for the purpose of accurately evaluating the safety of bridge structures.

• Educational Technology International
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• 제20권2호
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• pp.223-255
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• 2019

The purpose of this study is to draw implications for designing online tools to support monitoring in collaborative learning. For this purpose, eighteen research papers that explored learner dashboards and group awareness tools were analyzed. The driving questions for this analysis related to the information and outcomes that must be monitored, whose performance they represent, and who monitors the extent of learning. The analytical frameworks used for this study included the following: three modes of co-regulation in terms of who regulates whose learning (self-regulation in collaborative learning, other regulation, and socially shared regulation) and four categories of dashboard information to determine which information is monitored (information about preparation, participation, interaction, and achievements). As a result, five design implications for learner dashboards that support monitoring were posited: a) Monitoring tools for collaborative learning should support multiple targets: the individual learner, peers, and the entire group; b) When supporting personal monitoring, information about the individual and peers should be displayed simultaneously to allow direct comparison; c) Information on collaborative learning achievements should be provided in terms of the content of knowledge acquired rather than test scores; d) In addition to information related to interaction between learners, the interaction between learners and learning materials can also be provided; and e) Presentation of the same information to individuals or groups should be variable.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.174-184
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• 2018

The efficiency and safety of social-overhead capital (SOC) public infrastructures have become an eminent social concern. In this regard, a continuous structural health monitoring has been widely implemented to oversee the robustness of such public infrastructures for the safety of the public. This paper deals with the analysis of a distributed mobility management (DMM) support for wireless sensor network (WSN) based information transmission system. The partial DMM support separates the data and control plane infrastructures, wherein, the control plane is managed by a particular mobility management network entity, while the data plane is distributed by the mobility anchors. The system will be able to optimize the information transmission for a wireless structural health monitoring of SOC public infrastructures specifically designed for bridges, and thus, guarantees the safety of public commuters.