• 제목/요약/키워드: Multiple Objectives

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치과 종사자의 감염성 폐기물관리 실천에 영향을 미치는 요인 (Factors affecting practice of infectious wastes management of dental professionals)

  • 이은비;장종화
    • Journal of Korean Academy of Oral Health
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    • 제42권4호
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    • pp.175-180
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    • 2018
  • Objectives: This study aimed to evaluate the relationship between oral health professionals' knowledge, attitude, and practice with regard to infectious waste management and to identify related factors influencing it. Methods: The study comprised of 219 oral health professionals from select dental clinics and public health centers recruited between August 25, 2016 and September 5, 2016, who agreed to participate in the study with full understanding of the study objectives. A self-reported questionnaire was administered, which consisted of 22 items on knowledge of infectious waste management, 9 items on attitude, and 16 items on practice. Data were analyzed using Pearson's correlation coefficient and stepwise multiple regression analyses. Results: The age, knowledge, and clinical attitude of oral health professionals significantly correlated with waste management practice. Specifically, infectious waste management practice improved with increasing age, a greater level of knowledge, and a more positive clinical attitude. Additionally, the standardized regression coefficient demonstrated that, of these three factors, clinical attitude more strongly correlated with effective waste management practice, followed by age and level of knowledge. Conclusions: These results indicated that oral health professionals had a low level of knowledge regarding infectious waste management, and a more positive clinical attitude resulted in better practices. Therefore, the development of detailed and active education guidelines and strategies are needed to enhance the attitude, knowledge, and practice of oral health professionals with regard to infectious waste management.

Multi-objective structural optimization of spatial steel frames with column orientation and bracing system as design variables

  • Claudio H. B. de Resende;Luiz F. Martha;Afonso C. C. Lemonge;Patricia H. Hallak;Jose P. G. Carvalho;Julia C. Motta
    • Advances in Computational Design
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    • 제8권4호
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    • pp.327-351
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    • 2023
  • This article explores how multi-objective optimization techniques can be used to design cost-effective and structurally optimal spatial steel structures, highlighting that optimizing performance can be as important as minimizing costs in real-world engineering problems. The study includes the minimization of maximum horizontal displacement, the maximization of the first natural frequency of vibration, the maximization of the critical load factor concerning the first global buckling mode of the structure, and weight minimization as the objectives. Additionally, it outlines a systematic approach to selecting the best design by employing four different evolutionary algorithms based on differential evolution and a multi-criteria decision-making methodology. The paper's contribution lies in its comprehensive consideration of multiple conflicting objectives and its novel approach to simultaneous consideration of bracing system, column orientation, and commercial profiles as design variables.

만성 관절 통증 여성 노인환자에 있어 관절염 태극권의 효과에 대한 pilot study (The Effects of Tai Chi for Arthritis on Chronic Arthritic Pain of Senior Female : A Pilot Study)

  • 황의형;김정환;장인수;양창섭;강준원
    • 한방재활의학과학회지
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    • 제20권1호
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    • pp.79-90
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    • 2010
  • Objectives : Tai Chi for arthritis was developed in 1997 by Paul Lam, M.D. of family medicine in Australia. It is an exercise treatment program and a good approaching method for arthritis. However its application is limited to arthritis of knee joint only. Even there have been no clinical study in korean traditional medical society. The aim of this study is to investigate effect of the Tai Chi for arthritis on chronic pain of body. Methods : We designed this trial as objectives were (1) senior female over 60 years, (2) suffering for osteoarthritis and chronic body pain, (3) have no physical or mental dysfunctions (4) able to walk and exercise alone. Objectives mactched these criteria had been trained the Tai Chi for arthritis 2 hours a day for 21 weeks. Before and after training, pain of 8 joints (neck, shoulder, elbow, wrist, waist, hip, knee, ankle) were estimated with the VAS(Visual Analog Scale). Results : Training the Tai Chi for arthritis relieved multiple joint pain(especially neck, lower back, shoulder, wrist and knee) and these were statistically significant. Conclusions : This study is a pilot study to investigate effect of the Tai Chi for arthritis on chronic pain of whole body. Absence of control group, and other scale to test joint function except VAS were limitations of this study. It is the first clinical approach about Tai Chi in korean medicine field, also the first study of Tai Chi for pain of the whole body.

기초봉제 학습자의 자기효능감이 수업만족도에 미치는 영향 (The Influences of Learners' Self-efficacy on Class Satisfaction in Learning Practical Basic Sewing)

  • 박은희;조현주
    • 한국의상디자인학회지
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    • 제17권1호
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    • pp.13-24
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    • 2015
  • The purpose of this study is to examine the influences of learners' self-efficacy on class satisfaction in learning practical basic sewing. Questionnaires were distributed to 181 college women students living in the areas of Deagu Metropolitan City and Gyeongbuk Province. The data obtained were analyzed by using various statistical tools: frequency, factor analysis, reliability analysis, correlation analysis, and multiple regression. The self efficacy of learners of practical basic sewing were made up of five factors: ability to manage interpersonal relationships, ability to deal with assigned tasks, anxiety, challenging spirit, and fear. Class satisfaction was composed of the following factors such as interest in class, professors' ability, achievement of class objectives, connectivity, preparation for class, preference for practices, and perfectibility. This study indicated the correlations between sub-variables of learners' self efficacy and class satisfaction. In other words, the higher were the levels of ability to manage interpersonal relationships, and ability to deal with assigned tasks in self efficacy, the higher were the levels of interest in class, professors' ability, achievement of class objectives, preference for practices, and perfectibility in class satisfaction. The factors of ability to deal with assigned tasks, anxiety, and challenging spirit, in learners' self efficacy were found to have statistically significant effects on the achievement of class objectives. The factor of ability to deal with assigned tasks in self efficacy had a statistically significant influence on professors' ability. The factors of ability to deal with assigned tasks, anxiety, challenging spirit and fear were found to have statistically significant effects on all the factors of class satisfaction.

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DESIGN OF A PWR POWER CONTROLLER USING MODEL PREDICTIVE CONTROL OPTIMIZED BY A GENETIC ALGORITHM

  • Na, Man-Gyun;Hwang, In-Joon
    • Nuclear Engineering and Technology
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    • 제38권1호
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    • pp.81-92
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    • 2006
  • In this study, the core dynamics of a PWR reactor is identified online by a recursive least-squares method. Based on the identified reactor model consisting of the control rod position and the core average coolant temperature, the future average coolant temperature is predicted. A model predictive control method is applied to designing an automatic controller for the thermal power control of PWR reactors. The basic concept of the model predictive control is to solve an optimization problem for a finite future at current time and to implement as the current control input only the first optimal control input among the solutions of the finite time steps. At the next time step, this procedure for solving the optimization problem is repeated. The objectives of the proposed model predictive controller are to minimize both the difference between the predicted core coolant temperature and the desired temperature, as well as minimizing the variation of the control rod positions. In addition, the objectives are subject to the maximum and minimum control rod positions as well as the maximum control rod speed. Therefore, a genetic algorithm that is appropriate for the accomplishment of multiple objectives is utilized in order to optimize the model predictive controller. A three-dimensional nuclear reactor analysis code, MASTER that was developed by the Korea Atomic Energy Research Institute (KAERI) , is used to verify the proposed controller for a nuclear reactor. From the results of a numerical simulation that was carried out in order to verify the performance of the proposed controller with a $5\%/min$ ramp increase or decrease of a desired load and a $10\%$ step increase or decrease (which were design requirements), it was found that the nuclear power level controlled by the proposed controller could track the desired power level very well.

유전자 알고리즘에 의해 최적화된 모델예측제어를 이용한 PWR 출력제어기 (A Pressurized Water Reactor Power Controller Using Model Predictive Control Optimized by a Genetic Algorithm)

  • 나만균;황인준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.104-106
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    • 2005
  • In this work, a PWR reactor core dynamics is identified online by a recursive least squares method. Based on this identified reactor model consisting of the control rod position and the core average coolant temperature, the future average coolant temperature is predicted. A model predictive control method is applied to design an automatic controller for thermal power control in PWRs. The basic concept of the model predictive control is to solve an optimization problem for a finite future at current time and to implement as the current control input only the first optimal control input among the solutions of the finite time steps. At the next time step, the procedure to solve the optimization problem is then repeated. The objectives of the proposed model predictive controller are to minimize both the difference between the predicted core coolant temperature and the desired one, and the variation of the control rod positions. Also, the objectives are subject to maximum and minimum control rod positions and maximum control rod speed. Therefore, the genetic algorithm that is appropriate to accomplish multiple objectives is used to optimize the model predictive controller. A 3-dimensional nuclear reactor analysis code, MASTER that was developed by Korea Atomic Energy Research Institute (KAERI), is used to verify the proposed controller for a nuclear reactor. From results of numerical simulation to check the performance of the proposed controller at the 5%/min ramp increase or decrease of a desired load and its 10% step increase or decrease which are design requirements, it was found that the nuclear power level controlled by the proposed controller could track the desired power level very well.

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수술실 간호사의 목표관리특성과 직무몰입이 간호업무성과에 미치는 영향 (Effects of MBO and Job Commitment on Nursing Performance in Operating Room Nurses)

  • 이연화;서문경애
    • 디지털융복합연구
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    • 제15권4호
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    • pp.309-316
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    • 2017
  • 본 연구의 목적은 수술실 간호사의 목표관리특성과 직무몰입이 간호업무성과에 미치는 영향을 파악하기 위함이다. 연구대상은 서울에 소재한 3차 의료기관 수술간호팀의 자발적 참여의사가 있는 간호사 226명을 대상으로 자료수집을 하였고, 수술실 간호사의 간호업무성과에 미치는 영향을 파악하기 위하여 다중회귀분석을 실시하였다. 본 연구의 결과 수술실 간호사의 간호업무성과에 관계하는 영향요인은 목표관리특성중 목표구체성, 직무몰입, 측정가능성 순으로 나타났으며, 간호업무성과의 25.8%를 설명하였다. 따라서 간호업무성과를 높이기 위하여 수술실 간호의 직무특성상 수술상황에 몰입되어 간호를 할 수 있는 업무환경을 만들기 위해 노력해야 한다. 또한 수술실 간호사의 간호업무성과를 향상시키기 위해서는 목표관리특성 중에서 목표구체성과 목표의 측정가능성 부분에 대하여 이들의 영향력을 더욱 높일 수 있는 전략을 개발하여야 한다.

A Bi-objective Game-based Task Scheduling Method in Cloud Computing Environment

  • Guo, Wanwan;Zhao, Mengkai;Cui, Zhihua;Xie, Liping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권11호
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    • pp.3565-3583
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    • 2022
  • The task scheduling problem has received a lot of attention in recent years as a crucial area for research in the cloud environment. However, due to the difference in objectives considered by service providers and users, it has become a major challenge to resolve the conflicting interests of service providers and users while both can still take into account their respective objectives. Therefore, the task scheduling problem as a bi-objective game problem is formulated first, and then a task scheduling model based on the bi-objective game (TSBOG) is constructed. In this model, energy consumption and resource utilization, which are of concern to the service provider, and cost and task completion rate, which are of concern to the user, are calculated simultaneously. Furthermore, a many-objective evolutionary algorithm based on a partitioned collaborative selection strategy (MaOEA-PCS) has been developed to solve the TSBOG. The MaOEA-PCS can find a balance between population convergence and diversity by partitioning the objective space and selecting the best converging individuals from each region into the next generation. To balance the players' multiple objectives, a crossover and mutation operator based on dynamic games is proposed and applied to MaPEA-PCS as a player's strategy update mechanism. Finally, through a series of experiments, not only the effectiveness of the model compared to a normal many-objective model is demonstrated, but also the performance of MaOEA-PCS and the validity of DGame.

만성질환자의 정기적 의료이용에 영향을 미치는 요인 - 고혈압, 당뇨병, 고지혈증을 중심으로 - (Factors Affecting Regular Medical Services Utilization of Chronic Disease Patients - Focusing on the Hypertension, Diabetes Mellitus, Hyperlipidemia -)

  • 서영숙;박종호;임지혜
    • 보건교육건강증진학회지
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    • 제31권3호
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    • pp.27-37
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    • 2014
  • Objectives: This study aims to identify the factors associated with regular medical services utilization of chronic disease patients. Methods: The research selected 4,489 adults aged over 30, diagnosed with hypertension, diabetes, hyperlipidemia, hypercholesterolemia, from the Korea health panel. We analyzed states of regular medical service utilization using descriptive statistics. Multiple regression analysis was used to examine the main factors associated with regular medical services utilization in chronic disease patients. Results: In terms of socio-demographic factors, gender, age, marital status, education level, employment, household income and disability were significantly different between hypertension, diabetes, hyperlipidemia and hypercholesterolemia. Among health status and behavioral factors, number of chronic diseases, subjective health status, smoking, high risk drinking, regular meals, physical activity, obesity were significantly different. From the multiple logistic regression analysis, age, number of chronic diseases, obesity, type of chronic diseases were associated with regular medical services utilization. Conclusions: It is necessary to develop effective health education programs and individualized approach to improve continuous management in chronic diseases patients.

우리나라 일부 여성근로자에서 초과근무가 피로증상에 미치는 영향 (Impact of overtime work on fatigue symptom in selected Korean female workers)

  • 이경재;김주자
    • 한국산업보건학회지
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    • 제18권3호
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    • pp.216-223
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    • 2008
  • Objectives : To investigate the effect of overtime work on fatigue symptoms among Korean female workers. Methods : A total of 1,875 subjects were analyzed using the structured questionnaire, which was composed of overtime work, fatigue symptom, and background characteristics. Data analysis included multiple regression to test for a relationship of overtime work with fatigue symptom while statistically controlling for demographic and occupational variables. Results : Overtime work was more common in those with shorter work years of 3 or less than in those with longer work years. Overtime work was more popular in day workers than in shift workers. No significant difference of smoking and drinking state was observed between two groups. Subjective fatigue symptoms were significantly higher in overtime workers than in workers without overtime work. In a multiple regression analysis with significant control variables, overtime work was associated with 0.31 more fatigue symptom(p<0.001). Conclusion : Our findings suggest that overtime work may increase risks for fatigue symptom. Therefore, preventive strategies will be needed to control the negative effect of overtime work on health status of female workers.