This paper is about the philosophical and methodological foundation of artificial intelligence (AI). After discussing what is a good "working definition", "intelligence" is defined as "the abi...This paper is about the philosophical and methodological foundation of artificial intelligence (AI). After discussing what is a good "working definition", "intelligence" is defined as "the ability for an information processing system to adapt to its environment with insuffcient knowledge and resources". Applying the definition to a reasoning system, we get the major components of Non-Axiomatic Reasoning System (NARS) , which is a symbolic logic implemented in a computer system, and has many interesting ...展开更多
Emotional intelligence is a social skill and an important component of communication. It can be expressed as the ability to correctly identify emotions, to make proper decisions and to solve problems. Based on the con...Emotional intelligence is a social skill and an important component of communication. It can be expressed as the ability to correctly identify emotions, to make proper decisions and to solve problems. Based on the conducted researchs, emotional intelligence is an important factor in achieving success in life including occupation and education. This study was designed and implemented to determine the effects of emotional intelligence on the quality of nurses＇ working life. This quasi-experimental study was conducted in 2015 on 70 of hospital nurses. Samples were randomly collected and divided into 2 groups （35 nurses in each group） and training sessions of emotional intelligence were conducted. Before the first session and after session 12, the quality of working life was measured by Walton＇s standard questionnaire of working life in both groups. The average age of the control and the experimental group was 30.83 ± 3.785 and 29.54 ± 3.407 respectively. Quality of working life in the experimental group had significant positive changes in comparison with the control group （P 〈 0.001） after the completion of training sessions. Based on the results, nurses＇ quality of working life improved after training. It seems that it is possible to improve university students and nurses＂ quality of working life by holding special workshops of emotional intelligence in training centers.展开更多
The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control...The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control in parameters of forming process, the paper explored the humanoid based intelligence control strategy. In the paper, it made the anatomy in control puzzle resulted in uncertainty such as chemical component of plastic cement etc., summarized up the characteristic of cybernetics in forming process, researched on the humanoid based intelligence control strategy, and constructed the control algorithm of forming process in plastic cement work-piece. Taking the process experiment of temperature and pressure control as an example, it validated the good dynamic and static control quality through simulation of control algorithm constructed in this paper. The experimental results show that the control algorithm explored in this paper is reasonably available.展开更多
Scientific workflows have gained the emerging attention in sophisti-cated large-scale scientific problem-solving environments.The pay-per-use model of cloud,its scalability and dynamic deployment enables it suited for ex...Scientific workflows have gained the emerging attention in sophisti-cated large-scale scientific problem-solving environments.The pay-per-use model of cloud,its scalability and dynamic deployment enables it suited for executing scientific workflow applications.Since the cloud is not a utopian environment,failures are inevitable that may result in experiencingfluctuations in the delivered performance.Though a single task failure occurs in workflow based applications,due to its task dependency nature,the reliability of the overall system will be affected drastically.Hence rather than reactive fault-tolerant approaches,proactive measures are vital in scientific workflows.This work puts forth an attempt to con-centrate on the exploration issue of structuring a nature inspired metaheuristics-Intelligent Water Drops Algorithm(IWDA)combined with an efficient machine learning approach-Support Vector Regression(SVR)for task failure prognostica-tion which facilitates proactive fault-tolerance in the scheduling of scientific workflow applications.The failure prediction models in this study have been implemented through SVR-based machine learning approaches and the precision accuracy of prediction is optimized by IWDA and several performance metrics were evaluated on various benchmark workflows.The experimental results prove that the proposed proactive fault-tolerant approach performs better compared with the other existing techniques.展开更多
文摘This paper is about the philosophical and methodological foundation of artificial intelligence (AI). After discussing what is a good "working definition", "intelligence" is defined as "the ability for an information processing system to adapt to its environment with insuffcient knowledge and resources". Applying the definition to a reasoning system, we get the major components of Non-Axiomatic Reasoning System (NARS) , which is a symbolic logic implemented in a computer system, and has many interesting ...
文摘Emotional intelligence is a social skill and an important component of communication. It can be expressed as the ability to correctly identify emotions, to make proper decisions and to solve problems. Based on the conducted researchs, emotional intelligence is an important factor in achieving success in life including occupation and education. This study was designed and implemented to determine the effects of emotional intelligence on the quality of nurses＇ working life. This quasi-experimental study was conducted in 2015 on 70 of hospital nurses. Samples were randomly collected and divided into 2 groups （35 nurses in each group） and training sessions of emotional intelligence were conducted. Before the first session and after session 12, the quality of working life was measured by Walton＇s standard questionnaire of working life in both groups. The average age of the control and the experimental group was 30.83 ± 3.785 and 29.54 ± 3.407 respectively. Quality of working life in the experimental group had significant positive changes in comparison with the control group （P 〈 0.001） after the completion of training sessions. Based on the results, nurses＇ quality of working life improved after training. It seems that it is possible to improve university students and nurses＂ quality of working life by holding special workshops of emotional intelligence in training centers.
文摘The plastic cement belongs to a sort of polymer material, the chemical composition is very complex, and the plastic cement work-piece is generally manufactured by die press forming. Aimed at being difficult to control in parameters of forming process, the paper explored the humanoid based intelligence control strategy. In the paper, it made the anatomy in control puzzle resulted in uncertainty such as chemical component of plastic cement etc., summarized up the characteristic of cybernetics in forming process, researched on the humanoid based intelligence control strategy, and constructed the control algorithm of forming process in plastic cement work-piece. Taking the process experiment of temperature and pressure control as an example, it validated the good dynamic and static control quality through simulation of control algorithm constructed in this paper. The experimental results show that the control algorithm explored in this paper is reasonably available.
文摘Scientific workflows have gained the emerging attention in sophisti-cated large-scale scientific problem-solving environments.The pay-per-use model of cloud,its scalability and dynamic deployment enables it suited for executing scientific workflow applications.Since the cloud is not a utopian environment,failures are inevitable that may result in experiencingfluctuations in the delivered performance.Though a single task failure occurs in workflow based applications,due to its task dependency nature,the reliability of the overall system will be affected drastically.Hence rather than reactive fault-tolerant approaches,proactive measures are vital in scientific workflows.This work puts forth an attempt to con-centrate on the exploration issue of structuring a nature inspired metaheuristics-Intelligent Water Drops Algorithm(IWDA)combined with an efficient machine learning approach-Support Vector Regression(SVR)for task failure prognostica-tion which facilitates proactive fault-tolerance in the scheduling of scientific workflow applications.The failure prediction models in this study have been implemented through SVR-based machine learning approaches and the precision accuracy of prediction is optimized by IWDA and several performance metrics were evaluated on various benchmark workflows.The experimental results prove that the proposed proactive fault-tolerant approach performs better compared with the other existing techniques.
