Abstract Dynamic Bayesian Network (DBNs) is the general tool for enhancing the dependencies between the variables evolving in time and it’s used to represent the complex stochastic processes to study their properties or make predictions based on the future behavior. The coronary heart disease (CHD) is considered as the one of the -deadliest human diseases worldwide. The accurate prediction of CHD is... Dynamic Bayesian Network (DBNs) is the general tool for enhancing the dependencies between the variables evolving in time and it’s used to represent the complex stochastic processes to study their properties or make predictions based on the future behavior. The coronary heart disease (CHD) is considered as the one of the -deadliest human diseases worldwide. The accurate prediction of CHD is very complex to be prevented and the treatment for it seems difficult. In early work, the TA methods with DBNs have been applied for the prognosis of the risk for coronary heart disease (CHD). The deviation of temporal abstractions from data is used for building DBN structure to predict CHD. However this approach cannot handle Complex temporal abstractions due to irregular time intervals. The cut-off values decided for temporal abstraction is the another issue in this work. In order to overcome this issue in this paper proposed the technique used for regularizing the irregular time interval in Extended Dynamic Bayesian Networks (DBNs) with temporal abstraction for coronary heart disease prediction. The proposed technique provides the global optimal solutions to assure the learning temporal solutions which provide observation of same irregularly spaced time points and the semi parametric subclass of the DBN proposed to allow further adaption of the irregular nature of the available data. The cut off value is searched from the domain expert knowledge base through the firefly optimization algorithm. Read More Read Less

Abstract For the current lack of generation efficiency assessment of distributed photovoltaic, we construct the evaluation system from three aspects covering input, process and output. Fuzzy Mathematics and Gray System Theory are introduced to carry out quantized assessment. First, the Analytic Hierarchy Process is applied to determine the weights of various indicators, and point gradation is used to express the exact evaluation information. On... For the current lack of generation efficiency assessment of distributed photovoltaic, we construct the evaluation system from three aspects covering input, process and output. Fuzzy Mathematics and Gray System Theory are introduced to carry out quantized assessment. First, the Analytic Hierarchy Process is applied to determine the weights of various indicators, and point gradation is used to express the exact evaluation information. On this basis, the Experts Coefficient Method is used to determine the membership of the evaluation index. We establish the Fuzzy-Gray relation matrix, and use M(•, +) operator and M(􀀀, +) operator to calculate the mold propotion and gray propotion of relation matrix.To solve the problem that point gradation of the evaluation result is too large, we use the weighted average type operator M (•, ⊕) to optimize the evaluation result. Example shows that the improved Fuzzy-Gray method in the generation efficiency evaluation of distributed photovoltaic power, is good to overcome the problems that the assessment information is not clear and inaccurate. And this assessment system has certain significance for investment of distributed photovoltaic power stations and improving the power generation efficiency. Read More Read Less

Abstract Electric automation is a novel electrical information technology for industrial production, which, working with computer technology, plays a key role in industrial production and people’s daily life and turns to be more perfect and thorough day by day with rapid development. Pointing at features and patterns of electric-automation control system and comprehensive automation design on central heating system, this paper introduces electric-automation control... Electric automation is a novel electrical information technology for industrial production, which, working with computer technology, plays a key role in industrial production and people’s daily life and turns to be more perfect and thorough day by day with rapid development. Pointing at features and patterns of electric-automation control system and comprehensive automation design on central heating system, this paper introduces electric-automation control system under computer application. Besides, this paper takes power plants as examples to give systematic introduction, enabling the public to know and understand more of the system. Read More Read Less