Abstract In order to design a solid rocket motor with high mass ratio, it is necessary find out the parameters of grain shape meet structural strength under volume loading fraction condition. A rapid optimization method for complex motors based on parametric modeling and GA-BP proposed. Based this, neural network prediction results are optimized as function fitness in GA, show that maximum Von ...

Domain name system (DNS) resolution service is usually provisioned by multiple authoritative servers for performance and robustness. Estimating the query load distribution among multiple authoritative servers is one of the key issues arising with DNS server load balancing and optimization. We propose an analytical model of Round-Trip-Time (RTT)-sensitive server selections consisting of cache se...

This paper presents a method to estimate load profile in a multiple power flow solutions for every minutes in 24 hours per day. A method to calculate multiple solutions of non linear profile is introduced. The Power System Simulation/Engineering (PSS®E) and python has been used to solve the load power flow. The result of this power flow solutions has been used to estimate the load profiles for ...

Knowing that electrical load is a non storable resource; short term electric load forecasting becomes an important tool to optimise dispatching of electrical load in regular system planning. Several techniques have been used to accomplish this task, from traditional linear regression and BoxJenkins to artificial intelligence approaches such as Artificial Neural Networks (ANN). This work present...

BACKGROUND AND PURPOSE To evaluate the added value of MRI with respect to peripheral quantitative computed tomography (pQCT) and dual energy X-ray absorptiometry (DXA) for predicting femoral strength. MATERIAL AND METHODS Bone mineral density (BMD) of eighteen femur specimens was assessed with pQCT, DXA, and MRI (using ultrashort echo times (UTE) and the MicroView software). Subsequently biom...