• Title/Summary/Keyword: Learning stress

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The Influences of Job Stress and Stress-Coping Style on Job Satisfaction of the Elementary School Teachers (초등교사의 직무스트레스와 스트레스 대처방식이 직무만족도에 미치는 영향)

  • Jeong, Yong-Hwa;Lim, Eun-Mi;Kim, Jong-Un
    • Journal of Fisheries and Marine Sciences Education
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    • v.24 no.4
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    • pp.469-481
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    • 2012
  • The purpose of this study was to verify the influences among job stress, stress-coping style and job satisfaction of the elementary school teachers. An objective of study is 256 elementary school teachers. After choosing 7 schools located in Busan, 283 teachers participated in this study. The measurements used in this study were the teachers' job stress scale, coping ability scale against stress, and the Korea Teacher Opinionnaire Test. The collected data were analyzed with SPSS 14.0 program. For handling data, correlations and Multiple Regression Analysis was conducted. Major findings were summarized as follows: First, it is found that reward & personnel management in sub-variables of job stress and control method in sub-variables of stress-coping style has significantly predicted job satisfaction level. Second, in sub-variables of job satisfaction, reward & personnel management, control method, management system, learning establishments has significantly predicted duties, increase of specialty, human relationships, and work atmosphere, respectively. Finally, the limitation of this study and suggestion for further research are presented.

Whole learning algorithm of the neural network for modeling nonlinear and dynamic behavior of RC members

  • Satoh, Kayo;Yoshikawa, Nobuhiro;Nakano, Yoshiaki;Yang, Won-Jik
    • Structural Engineering and Mechanics
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    • v.12 no.5
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    • pp.527-540
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    • 2001
  • A new sort of learning algorithm named whole learning algorithm is proposed to simulate the nonlinear and dynamic behavior of RC members for the estimation of structural integrity. A mathematical technique to solve the multi-objective optimization problem is applied for the learning of the feedforward neural network, which is formulated so as to minimize the Euclidean norm of the error vector defined as the difference between the outputs and the target values for all the learning data sets. The change of the outputs is approximated in the first-order with respect to the amount of weight modification of the network. The governing equation for weight modification to make the error vector null is constituted with the consideration of the approximated outputs for all the learning data sets. The solution is neatly determined by means of the Moore-Penrose generalized inverse after summarization of the governing equation into the linear simultaneous equations with a rectangular matrix of coefficients. The learning efficiency of the proposed algorithm from the viewpoint of computational cost is verified in three types of problems to learn the truth table for exclusive or, the stress-strain relationship described by the Ramberg-Osgood model and the nonlinear and dynamic behavior of RC members observed under an earthquake.

Study on the Students' Life Reflected in Social Indices and Its Implications for National Curriculum Design Focusing on School Health Education (사회적 지표에 나타난 학생의 모습이 국가 교육과정 설계에 주는 시사점: 보건교육 강화를 중심으로)

  • Cho, Hoje;Kim, Dae Seok
    • Journal of the Korean Society of School Health
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    • v.27 no.3
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    • pp.159-168
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    • 2014
  • Purpose: The purpose of this study is to provide implications for National Curriculum design for elementary and secondary school, by analyzing social indices of students' real life based on Oliva's three types of demand for education. Three types of demand are physical, social-psychological and educational demand. Methods: This study mainly analyzed recent research data and existing studies relevant to social indices to show students' real life. Results: Three types of social indices about educational demand showed that students have many difficulties in much learning time, lacking in sleeping time and physical activities, much stress and suicide attempt. It is supposed that learning and academic achievement is the main factor to make such kind of stress. Conclusion: Health & safety education, self-esteem inspiring education, reduction of learning burden, physical activities etc are needed to be more reflected in National Curriculum design in the future.

A Study on the Variation of Physiology Signals based on EEG with Humidity (습도 변화에 따른 뇌파 기반 생체신호 변화에 관한 연구)

  • Kim, Myung-Ho;Kim, Jung-Min
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.62 no.1
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    • pp.50-55
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    • 2013
  • Subjects with 0.7[clo]'s amount of clothing were estimated on their thermal comfort, concentrativeness, heart rate variability, stress and fatigue degree when given variation in relative humidity to 30, 40, 50, 60, 70, and 80[RH%], in an environmental test room of temperature 25[$^{\circ}C$], illumination 1000[lux] and air velocity 0.02[m/sec], by using EEG, learning ability and HRV. At the result, it was at 50~60[RH%] of relative humidity that subject's thermal comfort and concentrativeness were at the highest while stress were at the lowest, and it was at 60[RH%] of relative humidity that heart rate variability was most stabilized. It was found that when temperature and humidity of the environmental test room are at 25[$^{\circ}C$] and 50~60[RH%], subject's productivity and psychological state are least affected.

Optimum design of steel bridges including corrosion effect using TLBO

  • Artar, Musa;Catar, Recep;Daloglu, Ayse T.
    • Structural Engineering and Mechanics
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    • v.63 no.5
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    • pp.607-615
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    • 2017
  • This study presents optimum design of plane steel bridges considering corrosion effect by using teaching-learning based optimization (TLBO) method. Optimum solutions of three different bridge problems are linearly carried out including and excluding corrosion effect. The member cross sections are selected from a pre-specified list of 128 W profiles taken from American Institute of Steel Construction (AISC). A computer program is coded in MATLAB to carry out optimum design interacting with SAP2000 using OAPI (Open Application Programming Interface). The stress constraints are incorporated as indicated in AISC Allowable Stress Design (ASD) specifications and also displacement constraints are applied in optimum design. The results obtained from analysis show that the corrosion effect on steel profile surfaces causes a crucial increase on the minimum steel weight of bridges. Moreover, the results show that the method proposed is applicable and robust to reach the destination even for complex problems.

A case study on individual level based-organizational behavior textbooks published in Korea and USA (한국과 미국에서 발행된 개인수준 중심의 조직행동론 교과서에 대한 사례연구)

  • Lee, Won Haeng
    • Journal of Industrial Convergence
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    • v.14 no.1
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    • pp.1-13
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    • 2016
  • I have done a case study on individual level based-organizational behavior textbooks published in Korea and USA. The objects are 'organizational behavior' by Su Yong Jung and 'organizational behavior' by Im Chang Hee in Korea, and 'organizational behavior' by Schermerhorn, Osborn, Uhl-Bien, & Hunt and 'organizational behavior' by Robbins, & Judge. The goal of this study is to identify the differences of the perspectives on the individual level based-organizational behavior between Korean and American textbooks. This research finding shows that it is valid to classify organizational behavior into such categories as individual differences, attitude, emotion & stress, perception & learning, and motivation in the Korean textbooks for the better future study.

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In-plane and out-of-plane bending moments and local stresses in mooring chain links using machine learning technique

  • Lee, Jae-bin;Tayyar, Gokhan Tansel;Choung, Joonmo
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.848-857
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    • 2021
  • This paper proposes an efficient approach based on a machine learning technique to predict the local stresses on mooring chain links. Three-link and multi-link finite element analyses were conducted for a target chain link of D107 with steel grade R4; 24,000 and 8000 analyses were performed, respectively. Two serial Artificial Neural Network (ANN) models based on a deep multi-layer perceptron technique were developed. The first ANN model corresponds to multi-link analyses, where the input neurons were the tension force and angle and the output neurons were the interlink angles. The second ANN model corresponds to the three-link analyses with the input neurons of the tension force, interlink angle, and the local stress positions, and the output neurons of the local stress. The predicted local stresses for the untrained cases were reliable compared to the numerical simulation results.

Development of an Adaptive Neuro-Fuzzy Techniques based PD-Model for the Insulation Condition Monitoring and Diagnosis

  • Kim, Y.J.;Lim, J.S.;Park, D.H.;Cho, K.B.
    • Electrical & Electronic Materials
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    • v.11 no.11
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    • pp.1-8
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    • 1998
  • This paper presents an arificial neuro-fuzzy technique based prtial discharge (PD) pattern classifier to power system application. This may require a complicated analysis method employ -ing an experts system due to very complex progressing discharge form under exter-nal stress. After referring briefly to the developments of artificical neural network based PD measurements, the paper outlines how the introduction of new emerging technology has resulted in the design of a number of PD diagnostic systems for practical applicaton of residual lifetime prediction. The appropriate PD data base structure and selection of learning data size of PD pattern based on fractal dimentsional and 3-D PD-normalization, extraction of relevant characteristic fea-ture of PD recognition are discussed. Some practical aspects encountered with unknown stress in the neuro-fuzzy techniques based real time PD recognition are also addressed.

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Sports Injury of the Elbow (주관절의 스포츠 손상)

  • Sin, Hyeon-Dae
    • Journal of Korean Orthopaedic Sports Medicine
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    • v.7 no.1
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    • pp.8-14
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    • 2008
  • Elbow joint injuries during exercise mostly occur by repeated stress to the joint than direct trauma. A pitcher who uses his arm above his head is most likely to be injured. So learning the right way to exercise and gaining the strength by maturating the body are essential for diminishing the chance of injury. On lateral ulnar tendon injury, which is most commonly injured area on elbow joint, pitchers generally complain of pain in arm movement above head and reduction of velocity, accuracy, and number of pitching. When there is pain on upper arm in harsh using, the stress fracture must be thought and epicondylar physis fracture of medial arm can occur by repeated abduction stress and contraction of flexors on forearm on children with immature skeleton. Osteochondritis dissecans of capitullum occur in young athletes who use there upper limb continuously lifting weights and gym work. And stress of abduction-extension includes damage of soft tissue and bone components, post medial crush syndrome, lateral ulnar ligament injury, extensor-abductor injury, stress of radius- capitullum are in this category.

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Stress and Satisfaction from Simulation-based Practice and Clinical Practice on High-risk Newborn Nursing (고위험 신생아간호에 관한 시뮬레이션 실습과 신생아집중치료실 실습의 스트레스와 만족도)

  • Park, Sun-Nam;Kim, Yunsoo
    • The Journal of Korean Academic Society of Nursing Education
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    • v.21 no.1
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    • pp.86-94
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    • 2015
  • Purpose: The purpose of this study was to compare practice stress and practice satisfaction between clinical practice and simulation-based practice groups. Methods: A total of 159 nursing students (85 in the simulation group and 74 in the NICU group) participated in the study. Research tools measuring practice stress and practice satisfaction were used. Data was analyzed utilizing a t-test, Mann Whitney U-test, and descriptive statistics. Results: The simulation group showed a lower level of practice stress(practice instruction, practice evaluation, interpersonal relationship) a higher level of practice satisfaction compared with the NICU group. Conclusion: Simulation-based practice is an effective learning method for high-risk newborn nursing and can be used as an alternative to clinical practice.