• Title/Summary/Keyword: Control Variables

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The Structural Path Model of Adolescents′ Internet Addiction and Expected Self-Control (청소년의 인터넷 중독현상과 자기통제기대의 구조적 경로모형에 관한 연구)

  • 박재성
    • Korean Journal of Health Education and Promotion
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    • v.21 no.3
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    • pp.1-17
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    • 2004
  • The purpose of this study is to evaluate the roles of expected self-control and expected self-control results in explaining adolescents' Internet addiction. In the study model, expectations of self-control and self-control results directly determine Internet addiction and Internet use time meditates the impacts of expectations of self-control and self-control results on Internet addiction. The study subjects are 1,080 middle and high school students in Busan. Stratified cluster sampling is applied by school type and school year. The response rate is 96%(l,037cases). This study develops the scales of expected self-control and expected self-control results. The scales of Internet addiction are devised by using the concept of functional dependency such as salience, withdrawal symptoms, mood modification, tolerance, relapse, and conflict. For verifying the study model, path analysis and multiple regression models are applied for identifying path significants and evaluating confounding effects of control variables, respectively. Moreover, multi partial F-test is performed for selecting the best regression model. Expected self-control is a significant determinant of Internet addiction and Internet use time that also significantly explains Internet addiction. The total effect of expected self-control towards Internet addiction is -.95. The total effect is comprised with the direct effect (-.71) and the indirect effect(-.24). In this result, the direct effect refers a curative effect since expected self-control directly reduces the level of Internet addiction, and the indirect effect refers a preventive effect because self-control can reduce time of Internet use that is a direct determinant of Internet addiction. In the test of the confounding effects of control variables, there are no confounding effects in the models of multiple regression. It implies a robustness of the study model as regards control variables. In conclusion, improving adolescents' expected self-control can control Internet addiction level. This finding implies that a health promotion program for improving expected self-control can be a cost effective method compared to other approaches.

The Effects of Children's Metastrategic Activities on Strategies to Control Variables at a Scientific Reasoning Task

  • Jang, Myoung-Duk;Yang, Il-Ho;Jeong, Jin-Woo
    • Journal of the Korean earth science society
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    • v.23 no.2
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    • pp.154-165
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    • 2002
  • The purpose of this study was to examine the effects of metastrategic exercise on a scientific reasoning strategy to control variables, and investigate the developmental patterns in the strategy usage within a given period. Two groups composed of 90 fifth grade students engaged in a scientific reasoning task over six daily sessions. Additionally, one group engaged in metastrategic exercise on fictional students' strategies of controlling variables on the task, while the other spent equivalent time on an unrelated task. Based upon results of the study, the following conclusions can be drawn. First, the metacognitive exercise on the strategy to control variables has positive and long-standing effects on the strategy performance at the reasoning task. The exercise also takes effect of near-transfer. Taking into consideration only about sixty minutes of metastrategic practice, the results provide the validity of the activity in order to develop children's reasoning strategies. Second, in a scientific reasoning task, each child seems to go through one out of two developmental patterns in their usage of reasoning strategies: gradual change or fundamental change. Considering the ratio of pattern of fundamental change between the two groups, it is clear that the metacognitive exercise influences the developmental pattern of strategy usage.

A Discriminant Analysis of a High Level of School Adjustment and Low Level of School Adjustment in Low-income School-aged Children using Interpersonal-related Variables and Self-related Variables (자아특성과 대인관계특성에 따른 학교적응이 높은 저소득층 아동의 판별분석)

  • Kong, In-Sook;Min, Ha-Young
    • Journal of Families and Better Life
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    • v.31 no.5
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    • pp.201-210
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    • 2013
  • The purpose of this study was to investigate the possibility of discriminating a high level of school adjustment in low-income school-aged children using interpersonal-related variables(mother attachment, peer attachment) and self-related variables(ego-resiliency, self-control). The subjects were 335 children in fourth, fifth and sixth grades in 4 elementary schools in Daegu. Mean(SD), t-test, and stepwise discriminant analysis were used for data analysis. Base on the results of the discriminant analysis, the discriminant functions suggested that the best predictor for distinguishing between a high level of school adjustment in low-income school-aged children and a low level of school adjustment was ego-resiliency. Self-control, mother attachment and peer attachment reliably separated the groups. And using ego-resiliency, self-control, mother attachment and peer attachment as predictors, the discriminant analysis correctly classified 92.3% of the participants.

Active Neuro-control for Seismically Excited Structure using Modal states as the Input of the Neuro-controller (모달 변위를 이용한 지진하중을 받는 구조물의 능동 신경망제어)

  • 이헌재;정형조;이종헌;이인원
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.04a
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    • pp.423-430
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    • 2004
  • A new active neuro-control strategy for seismic response reduction using modal states is proposed. In order to apply the neuro-control strategy to the given structural system it is needed to select state variables used as inputs into the neural network. If the degrees of freedom of the analytical model is large, there are so many possible combinations of the state variables. And selecting state variables is very complicated and troublesome task for the designer. In order to avoid this problem, the proposed control system adopts modal states as inputs. Since the modal states contain the information of the whole structural system's behavior, it is proper to use modal states as inputs of the neuro-controller. The simulation results show that the proposed the proposed active neuro-control strategy is quite effective to reduce seismic responses. In addition, the consuming time for training proposed neuro-controller is quite shorter than that for the conventional neuro- controller. The results of this investigation, therefore, indicate that the proposed active neuro-control strategy using modal states as the inputs could be effectively used for control seismically excited structures.

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The Supply Water Algorithm for a Condensing Gas Boiler Control (콘덴싱가스보일러 제어를 위한 공급수알고리즘)

  • Han, Do-Young;Yoo, Byeong-Kang
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.23 no.6
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    • pp.441-448
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    • 2011
  • The energy consumption of a condensing gas boiler may be greatly reduced by the effective operation of the unit. In this study, the supply water algorithm for a condensing gas boiler control was developed by using the fuzzy logic. This includes the supply water set temperature algorithm, and the control algorithms of a gas valve, a blower and a pump. For the set temperature algorithm, the outside air temperature and the return water temperature were used as input variables. The supply water temperature difference and its slope were used as input variables of the gas valve and blower control algorithm. And the supply water temperature and the return water temperature were used as input variables of the pump control algorithm. In order to analyse performances of these algorithms, the dynamic model of a condensing gas boiler was used. The initial start-up test, the supply water set temperature change test, the outside air temperature change test, and the return water temperature change test were performed. Simulation results showed that algorithms developed in this study may be practically applied for the effective control of a condensing gas boiler.

The Effects of Parental Support, Control and School Life Adjustment on Suicidal Ideation of Adolescents: Mediating Effects of Depression (부모의 지지와 통제 및 학교생활 적응이 남녀 청소년의 자살생각에 미치는 영향: 우울의 매개효과를 중심으로)

  • Lee, Ah Young;Park, Bu Jin;Kim, Se Young
    • Korean Journal of Child Studies
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    • v.37 no.1
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    • pp.61-71
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    • 2016
  • Objective: The purpose of this study was to confirm if there are gender differences in influences of parental support, control, and school life adjustment on suicidal ideation of adolescents and to examine the mediating effect of depression on the influences of independent variables on their suicidal ideation. Methods: This study comprised a total of 671 students in seventh and eighth grades in Seoul and Gyeonggi-do. The data were analyzed for frequency, average, and standard deviation, using the t-test, Pearson's correlation analysis, stepwise regression analysis, hierarchical multiple regression analysis, and the Sobel test. Results and Conclusion: First, significant differences among adolescents' gender were shown in fathers' psychological control, mothers' behavior control, and suicidal ideation. Second, in the case of male adolescents, all independent variables were found to have a full mediating effect on their suicidal ideation. Meanwhile, in the case of female adolescents, independent variables except for mothers' psychological control were found to have a full mediating effect on their suicidal ideation. Mothers' psychological control was found to have a partial mediating effect on suicidal ideation of adolescents for both genders.

Design of fuzzy digital PI+D controller using simplified indirect inference method (간편 간접추론방법을 이용한 퍼지 디지털 PI+D 제어기의 설계)

  • Chai, Chang-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.1
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    • pp.35-41
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    • 2000
  • This paper describes the design of fuzzy digital PID controller using a simplified indirect inference method. First, the fuzzy digital PID controller is derived from the conventional continuous-time linear digital PID controller,. Then the fuzzification, control-rule base, and defuzzification using SIM in the design of the fuzzy controller are discussed in detail. The resulting controller is a discrete-time fuzzy version of the conventional PID controller, which has the same linear structure, but are nonlinear functions of the input signals. The proposed controller enhances the self-tuning control capability, particularly when the process to be controlled is nonlinear. When the SIIM is applied the fuzzy inference results can be calculated with splitting fuzzy variables into each action component and are determined as the functional form of corresponding variables. So the proposed method has the capability of the high speed inference and adapting with increasing the number of the fuzzy input variables easily. Computer simulation results have demonstrated that the proposed method provides better control performance than the one proposed by D. Misir et al.

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Design of Nonlinear Fuzzy I+PD Controller Using Simplified Indirect Inference Method (간편간접추론방법을 이용한 비선형 퍼지 I+PD 제어기의 설계)

  • Chai, Chang-Hyun;Chae, Seok;Park, Jae-Wan;Yoon, Myong-Kee
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.2898-2901
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    • 1999
  • This paper describes the design of nonlinear fuzzy I+PD controller using simplified indirect inference method. First, the fuzzy I+PD controller is derived from the conventional continuous time linear I+PD controller. Then the fuzzification, control-rule base, and defuzzification using SIIM in the design of the fuzzy controller are discussed in detail. The resulting controller is a discrete time fuzzy version of the conventional I+PD controller. which has the same linear structure. but are nonlinear functions of the input signals. The proposed controller enhances the self-tuning control capability. Particularly when the process to be controlled is nonlinear When the SIIM is applied, the fuzzy inference results can be calculated with splitting fuzzy variables into each action component and are determined as the functional form of corresponding variables. So the proposed method has the capability of the high speed inference and adapting with increasing the number of the fuzzy input variables easily. Computer simulation results have demonstrated the superior to the control performance of the one Proposed by D. Misir et at.

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Multivariate CUSUM control charts for monitoring the covariance matrix

  • Choi, Hwa Young;Cho, Gyo-Young
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.2
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    • pp.539-548
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    • 2016
  • This paper is a study on the multivariate CUSUM control charts using three different control statistics for monitoring covariance matrix. We get control limits and ARLs of the proposed multivariate CUSUM control charts using three different control statistics by using computer simulations. The performances of these proposed multivariate CUSUM control charts have been investigated by comparing ARLs. The purpose of control charts is to detect assignable causes of variation so that these causes can be found and eliminated from process, variability will be reduced and the process will be improved. We show that the charts based on three different control statistics are very effective in detecting shifts, especially shifts in covariances when the variables are highly correlated. When variables are highly correlated, our overall recommendation is to use the multivariate CUSUM control charts using trace for detecting changes in covariance matrix.

The Control Performance of the Active Control System with Insufficient Number of Control Sources and Sensors for the Reduction of Duct Noise (고차모드 수보다 적은 수의 제어음원과 센서를 이용한 덕트 방사소음 제어시스템의 제어성능)

  • 윤두병;김양한;정균양;조대승
    • Journal of KSNVE
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    • v.8 no.6
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    • pp.1030-1036
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    • 1998
  • When the lateral dimensions of a duct is larger than or comparable to the wavelengths of Interest, higher order modes propagate in the duct. These modes will be radiated and produce noise. A number of sensors and actuators for control of radiating noise from the duct have to be incorporated with the number of modes which one wants to control. These considerations motivated the present study that considers a control system which has less microphones and control sources than required. In this work, by theoretical analysis, the control performance of such a kind of system is investigated in terms of sound-field variables and control system variables. The possible maximum and minimum value. mean and variance of residual acoustic potential energy are derived for the set of primary sound fields.

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