Abstract: Method for predicting the overall hydraulic performance of a sink-type dishwasher. Process begins with unsteady numerical computation on a dishwasher pump under static conditions to obtain a characteristic pump curve. Using this curve, rotation velocity adaptation coefficient (Ad) and axial velocity coefficient (Bd) are determined. Mapping relationship is established between composite superposition virtual impeller and composite impeller. Passive rotation velocity of the volute and the nozzle flow rate are calculated using GMO model and virtual impeller. A jet mass source is established, using the nozzle flow rate and the volute's passive rotation velocity as boundary conditions. This leads to a non-submerged rotating jet flow computation with a multi-nozzle setup using the VOF method.

Abstract: Provided is a sludge drying composite conditioner. The sludge drying composite conditioner comprises a Fenton's reagent or/and Fenton-like reagent and a matrix construct, the weight ratio between the Fenton's reagent or/and the Fenton-like reagent and the matrix construct is 1:0.05 to 300, and the matrix construct is powder. Further provided is an application method of the sludge drying composite conditioner, which comprises the steps of: adding a Fenton's reagent or/and Fenton-like reagent in a sludge, performing stirring and mixing, and performing an oxidation reaction; and adding a matrix construct to the sludge added with the Fenton's reagent or/and Fenton-like reagent and performing stirring and mixing.

Abstract: A well constrained transverse variable height-velocity curve constructing method for seismic wave velocity field construction involves the steps of: a) calculating interval velocity of each stratum by a sonic logging curve, and calculating the conversion horizon velocity of each horizon; b) drawing a circle to collect well points; c) calculating the characteristic parameter values of the height-velocity curve by the interval velocity and the conversion interval velocity of each well; d) calculating the characteristic parameter values by Kriging interpolation.

Abstract: A base station device, method, and communication system are disclosed. The base station includes a covariance matrix obtaining unit forming a covariance matrix of an interference vector and a noise vector from received signals from multiple user equipment; a ratio calculation and comparison unit that calculates a relative ratio between the interference and the noise in the received signals based on the covariance matrix and compares the ratio with a predetermined threshold; an adjusting unit that reduces values of non-diagonal elements in the covariance matrix when the ratio is less than the predetermined threshold; an equalizer unit that performs equalization based on the covariance matrix using an Interference Rejection Combining algorithm when the ratio is greater than or equal to the predetermined threshold, and equalizes the received signals based on the adjusted covariance matrix using a Minimum Mean Square Error algorithm when the ratio is less than the predetermined threshold.

Abstract: Provided is a sludge drying composite conditioner. The sludge drying composite conditioner comprises a Fenton's reagent or/and Fenton-like reagent and a matrix construct, the weight ratio between the Fenton's reagent or/and the Fenton-like reagent and the matrix construct is 1:0.05 to 300, and the matrix construct is powder. Further provided is an application method of the sludge drying composite conditioner, which comprises the steps of: adding a Fenton's reagent or/and Fenton-like reagent in a sludge, performing stirring and mixing, and performing an oxidation reaction; and adding a matrix construct to the sludge added with the Fenton's reagent or/and Fenton-like reagent and performing stirring and mixing.

Abstract: A base station device, a method thereof and a communication system thereof are disclosed.

Abstract: A well constrained horizontal variable height-velocity curve constructing method for seismic wave velocity field construction involves the steps of: a) calculating horizon velocity of each horizon by a sonic logging curve, and calculating the conversion horizon velocity of each horizon; b) drawing a circle to collect well points; c) calculating the characteristic parameter values of the height-velocity curve by the horizon velocity and the conversion horizon velocity of each well; d) calculating the characteristic parameter values by Kriging interpolation.