this paper deals with an inspection of defects including corrosion and leakage by acoustic emission (ae) in an oil tank floor. in contrast to intrusive methods such as magnetic flux leakage, eddy current or ultrasonic, there is no need to emptying and entering the tank in ae method in order to inspection. in this research ae investigation and ae source location is presented in detail. the resul...

At the cellular scale, blood fluidity and mass transport depend on the dynamics of red blood cells in blood flow, specifically on their deformation and orientation. These dynamics are governed by cellular rheological properties, such as internal viscosity and cytoskeleton elasticity. In diseases in which cell rheology is altered genetically or by parasitic invasion or by changes in the microenv...

In this work, Particle Swarm Optimization (PSO) based intelligent controller design technique is attempted for a nonlinear spherical tank process. The search process is guided by an objective function, which considers the minimization of some key parameters such as Integral Square Error (ISE), Integral Absolute Error (IAE), and settling time (ts) of the process under study. The proposed control...

Abstract: Empirically based modeling is an essential aspect of design for a wave energy converter. Empirically based models are used in structural, mechanical and control design processes, as well as for performance prediction. Both the design of experiments and methods used in system identification have a strong impact on the quality of the resulting model. This study considers the system iden...

on the Columbia River plateau, a semiarid region in south-central Washington (Fig. 1), the Hanford Site At the Hanford Site, highly radioactive and chemically aggressive served as a plutonium production facility for nuclear waste fluids have leaked from underground storage tanks into the vadose zone. This paper addresses hydrogeological issues at the weapons from 1944 to the end of the Cold War...

BACKGROUND Conventional experiments in small scale are often performed in a 'Black Box' fashion, analyzing only the product concentration in the final sample. Online monitoring of relevant process characteristics and parameters such as substrate limitation, product inhibition and oxygen supply is lacking. Therefore, fully equipped laboratory-scale stirred tank bioreactors are hitherto required ...

Semi-supervised learning tries to employ a large collection of unlabeled data and a few labeled examples for improving generalization performance, which has been proved meaningful in real-world applications. The bottleneck of exiting semi-supervised approaches lies in over long training time due to the large scale unlabeled data. In this article we introduce a novel method for semi-supervised l...

Many researchers have investigated how to increase the overall efficiency of solar-driven thermal systems. Several key parameters, such as collector efficiency and storage tank characteristics, may impose some constraints on the annual solar fraction (ASF) of such systems. In this paper, the behaviour of integrating the phase change material (PCM) in SDHW systems is modelled and optimized n...

Computational fluid dynamics simulations are employed to assess the effect of adding a vertical baffle at the feed section of a full-scale edimentation tank for the improvement of solids settling in potable water treatment. A general CFD-based simulation strategy is developed based n the specific features and conditions met in practice for potable water treatment. The linearity of the particle ...

Characterizing deepwater reservoirs, their stratigraphy and structure can be highly uncertain due to the extremely limited data. The existence of subseismic scale fine-grained layers can significantly affect oil production of a reservoir, which requires explicitly modelling the uncertainty of these fine-grained fluid barriers. Conventional modeling techniques, such as twopoints statistics, mult...