• Journal of the Korean Home Economics Association
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• v.49 no.5
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• pp.71-80
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• 2011

The purpose of this study was to investigate the mediating effects of anger expression on the relationship between child abuse experience and the method of resolving interpersonal conflicts. For the study, 3,050 4th to 6th grade children from Kyunggi-do were sampled. The collected data were analyzed using simple regression, multi regression and a path analysis. This study showed that child abuse experience influenced the method of resolving the interpersonal conflicts via the expression of anger. In other words, anger expression could function as a pathway between child abuse experience and the method of resolving interpersonal conflicts.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.7
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• pp.599-605
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• 2017

For an unmanned vehicle to be driven on the off-road terrain, it is necessary to consider the vehicle's stability. This paper suggests a path tracking controller for simulation of real-time vehicle stability analysis. The path tracking controller uses the preview distance to track the given trajectory. The disturbance moment is estimated using the yaw moment observer, and this information is used for compensation in the yaw moment control. On a curved path, the vehicle's desired velocity is determined from the curvature of the path. Because the vehicle is equipped with six independent motor driven wheels, the driving torques are distributed on all the wheels. The effectiveness of the path tracking controller is verified using ADAMS/MATLAB co-simulation.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.2
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• pp.315-323
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• 2015

Nowadays, it is expected that mobility loads such as electric railways and electric vehicles will be penetrated gradually and affect on the power system stability by their load characteristics. Various researches have been carried out about electric vehicles for the recent decade though the load of electric railway could be forecasted because of the specified path and timetable, is a field with a long historic background. Some precise 5th polynomial equations are required to analyze the power system stability considering mobility load to be increased in the immediate future while the electric railway dispatching simulator uses load models with constant power and constant impedance for the system analysis. In this paper, seasonal urban railway load models are established as the form of 5th polynomial equations and substation load modeling methods are proposed merging railway station load models and general load models. Additionally, load management effects by the load modeling are confirmed through the case studies, in which seasonal load models are developed for Seoul Subway Line No. 2, Gyeongui Line and Airport Railroad and the substation load change is analyzed according to the railway load change.

• Journal of the Korean School Mathematics Society
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• v.13 no.2
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• pp.289-301
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• 2010

This study discovered that instructional objectives of graphs which are dealt with in Math I of the revised curriculum are not matched with those of Discrete Mathematics in the 7th Curriculum. Based on the findings, this study analysed didactic transposition method of trail in graph and matrix of Math I and students' understanding about trail. Then this study discovered that though the concept definition of trail in Math I of the revised curriculum, some textbooks and students tend to consider it as the path. The concept definition of trail is significant in systems that deal with Euler Circuits(Euler Closed trail) and Hamilton Cycle. Then it is not easy to find the value of trail in Math I of the revised curriculum.

• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1209-1219
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• 2009

The purpose of this study examined the path model of maternal emotional expression, temperament and self-esteem on emotion regulation among children. The subjects were 487 5th and 6th graders. Data was gathered through questionnaires reported by children and their mothers and analyzed by structural equation modeling. The results showed that children's 'activity level' temperament and maternal negative emotional expression directly affected maladaptive emotion regulation. Children's 'emotionality' temperament and maternal positive emotional expression directly affected adaptive emotion regulation. Children's 'approach-flexibility' temperament and self-esteem directly affected both maladaptive and adaptive emotion regulation. Maternal emotional expression and children's self-esteem mediated between children's temperament and emotion regulation. Additionally, the most important variable predicting children's maladaptive emotion regulation was the children's 'activity level' temperament, and the most important variable for adaptive emotion regulation was the children's 'emotionality' temperament.

• Journal of Families and Better Life
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• v.14 no.2
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• pp.241-252
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• 1996

This study was designed to analysis a causal modeling between peer acceptance of children and the related variables. The subjects were 430 5th and 6th elemantary school children. Using questionnares data on peer acceptance aggression & withdrawal behavior rated by same-sex peers and mother-child attachment were gathered,. For the statiscal analyses multiple regression and path-analysis were used. The results show social behavior that effects peer acceptance is influenced by not only aggresive behavior but also withdrawal behavior, Peer acceptance was not affected directly by mother-child attachment and paternal education while academic achievement affected peer acceptance indirectly. Therefore children's peer acceptance is mainly determined by social behavior as well as academic achievement.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.5
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• pp.48-54
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• 2018

With the 4th industry era, smart factories are emerging. In the era of multi-product small scale production, unmanned transportation vehicles are rapidly increasing in utilization of unmanned transportation vehicles that carry and arrange goods in the work space. The conventional unmanned vehicle detected its position by using the guided line method and the position based method for indoor location recognition and movement. This method has disadvantages of initial high cost and maintenance / maintenance. In this paper, to solve the disadvantages, the method of predicting the direct path of the unmanned vehicle through the Kalman filter is verified using the white LED marker of the warehouse and the position data and the image data of the white LED marker recognition image. Through this, the reliability of the linear movement which occupies the most part in the lattice structure is secured. It is also expected that the reliance on additional position sensors will also be reduced.

• Journal of the Korean Society of Safety
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• v.21 no.4 s.76
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• pp.19-24
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• 2006

Fatigue crack propagation tests for the brake disc cast iron were conducted for investigating fatigue crack propagation rate(da/dN), crack propagation path and fracture toughness($K_c$) of the material. The threshold stress intensity factor range, ${\Delta}K_{th}$, was found to be about $6MPa{\sqrt{m}}$ at the stress ratio of R = 0.1. Also, fracture toughness value was determined to be $24.7MPa{\sqrt{m}}$. Irregular fatigue fracture surfaces were observed, indicating that fatigue crack growth occurred at the interface between randomly scattered flak graphite and ferrite, where the interfacial strength was relatively weak.

• Korean Journal of Child Studies
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• v.38 no.1
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• pp.153-167
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• 2017

Objective: This study was aimed to examine the mediating effects of mother's marital conflict and satisfaction between father's child-rearing involvement and mother's warmth of parenting style, and the moderating effect of mother's depression and self-esteem. Methods: The analyses involved using cross-sectional weights from the 1,703 samples of the 5th Panel Study on Korean Children to classify them into high and low depression groups, and high and low self-esteem groups. Path analysis and multiple group comparison analysis were conducted, controlled by child sex, mother's age and highest education level, and household financial assets. Results: The results were as follows: First, mother's marital conflict and satisfaction had a mediating effect on the relationship between father's child-rearing involvement and mother's warmth of parenting style. Second, mother's depression and self-esteem levels had a moderating effect the relationship between father's child-rearing involvement and mother's warmth of parenting style. In particular, mother's depression level affected the path between marital conflict and warmth of parenting style, and mother's self-esteem level affected the path between marital satisfaction and warmth of parenting style. Conclusion: Father's child-rearing involvement and mother's psychological level affect mother's marital relations and parenting style. Also, father's parenting involvement and psychological support is needed for a mother to regulate mood disorders, including depression and any self-serving bias.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.9
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• pp.723-732
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• 2001

In this paper, the neurofuzzy controller of optically guided AGV is proposed to improve the path-tracking performance A differential steered AGV has front-side and rear-side optical sensors, which can identify the guiding path. Due to the discontinuity of measured data in optical sensors, optically guided AGVs break away easily from the guiding path and path-tracking performance is being degraded. Whenever the On/Off signals in the optical sensors are generated discontinuously, the motion errors can be measured and updated. After sensing, the variation of motion errors can be estimated continuously by the dead reckoning method according to left/right wheel angular velocity. We define the estimated contour error as the sum of the measured contour in the sensing error and the estimated variation of contour error after sensing. The neurofuzzy system consists of incorporating fuzzy controller and neural network. The center and width of fuzzy membership functions are adaptively adjusted by back-propagation learning to minimize th estimated contour error. The proposed control system can be compared with the traditional fuzzy control and decision system in their network structure and learning ability. The proposed control strategy is experience through simulated model to check the performance.