Fluorocarbon-modified polyacrylamide chains can form large multichain aggregates. The aggregation behavior of a series of fluorocarbon-modified polyacrylamides in water has been investigated by a combination of static and dynamic laser light scattering (LLS). The critical aggregation concentration (CAC) was estimated from the emergence of a second peak in the line-width distribution measured in...

this study is an attempt to develop a model of the simultaneous structure of the aggregate dynamic supply and demand to be used for estimation of parameters from data related to iran’s economy. the method for developing the model is an application of the dynamic and simultaneous process of aggregate supply and demand. obtained differential equations are used for solve the model. to estimate the...

In this paper, a combined method is proposed to improve the accuracy of an electrical equivalent circuit model (EECM) and state-of-charge (SOC) estimation in situations where lithium-ion battery frequently charged discharged. To calculate terminal voltage dynamic region, charging discharging are repeated at 0.1 s intervals, specific region determined historical weight selected, based on amount ...

This paper explores the use of MRI (Magnetic Resonance Imaging) in combination with a fully automated Image Analysis method for the recognition of Biceps Femoris and Semimembranosus muscles in Iberian ham. A quantitative description of volume and a study of moisture and weight relationships during the product's ripening process are included. Three Active Contour methods (Variational Calculus, D...

We examine the problem of tracking dynamic boundaries occurring in natural phenomena using a network of range sensors. Two main challenges of the boundary tracking problem are accurate boundary estimation from noisy observations and continuous tracking of the boundary. We propose Dynamic Boundary Tacking (DBTR), an algorithm that combines the spatial estimation and temporal estimation technique...

This paper deals with the distance estimation issue in 802.15.4 wireless sensor networks. On a basis of signal strength of received frames a distance between two sensor nodes is estimated. Estimation is done by using the log-normal shadowing radio propagation model (LNSM). Basic problems of signal strength based systems are variation of RSSI parameter and correct calibration of coefficients for...

Precipitation nowcasting is an important tool for economic and social services, especially forecasting severe weather. The crucial challenging part of radar echo image prediction the focus radar-based precipitation nowcasting. Recently, a number deep learning models have been designed to solve problem extrapolating images. Although these methods can generate better results than traditional extr...