high levels of turbidity and suspended solids are the major disadvantages of aerated lagoons. aerated lagoon effluent filtration was investigated by horizontal roughing filter (hrf). removal efficiencies were determined by examining total phosphorus (tp) and total kjeldahl nitrogen (tkn) from hrf influent and effluent, simultaneously. hrf pilot system located on effluent pump station of qom was...

introduction:  the  purpose  of  this  study  is  to  define  the  optimal  parameters  for  the  tomographic  reconstruction procedure in a routine single photon emission tomography. the hoffman brain phantom  is modified to evaluate the reconstruction method. the phantom was imaged in a 3 and 2-dimensional  conformation and the results were compared.   materials  and  methods:  the  2d  phant...

we have designed a new type of optical channel drop filter (cdf) based on two dimensionaltriangular lattice photonic crystals. cdf operation is based on coupling to the photonic crystalwaveguide. the proposed structure is optimized to work as a cdf for obtaining the cdfcharacteristics and band structure of the filter the finite difference time domain (fdtd) method andplane wave expansion (pwe) ...

in order to compare sampling efficiencies of total and inhalable dust methods, three airborne dust sampling systems , 7-hole sampler , close and open face filter cassette were compared side-by-side , as stationary and for the personal samplers , in a wood working industry to evaluate their relative efficiency. a total of 162 samples were collected. the study of particle size distribution by cas...

With the increase in drilling fluid density requirements low-pressure coefficient formations, traditional hollow bead fluids and foam each have different degrees of deficiencies. Through extensive indoor experiments, an amphoteric surfactant (cocoamidopropyl betaine) with better foaming performance was selected to formulate ultra-low-density that combines a agent glass microbeads reduce fluid, ...

This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive against the uncertainty in the process and measurement noise covariances. This is accomplished by deriving two recursive updating rules for the noise covariances, these rules are easy to implement and reduce the n...