Đang chuẩn bị liên kết để tải về tài liệu:
Underwater Vehicles Part 12

Tham khảo tài liệu 'underwater vehicles part 12', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Environmental Impact Assessment and Management of Sewage Outfall Discharges using AUV S 429 This problem is partially eliminated if a norm L245 is used as show plots g and h . This value was empirically adjusted so that the sum of magnitudes of the measurements of each collocation point be approximated a unit value. Cross sections for the 3D measurements domain case not shown were performed and the results are similar to the 2D case previously presented. A less visited collocation point Xj was defined as one whose sum of magnitudes sum of elements of column vector j was less then the difference between the mean value of the all sums of magnitudes SumMag and three times the standard deviation of these sums lessvisitj Wij mean SumMag - 3 X std SumMag . 9 i 1 To increase information on the desired variable in the vicinity of less visited collocation points Xj a cell grid size update was performed Ar Ay Az . cell _ growth X Ar Ay Az 10 where cell _ growth 5. Finally a finer meshgrid of the form Ar Ay Az 2 2 0.2 was considered for the surface visualization generation. The desired variable on the M visualization points was calculated as follows N Pk WkjPj mean P k 1 . M 11 j 1 were the weights matrix Wkj was evaluated in the same manner as 4 . To improve the method efficiency the least squares solution 8 was either computed as follows P WTW WT P - mean P 12 so the mean value has to be added in 11 . Several interpolation methods such as Nearest Neighbor Bilinear and Bicubic were first applied to the measured data but with no successful results. The LSCM was then considered since it is specially attractive for problems posed on irregularity shaped domains which is the case here. Giving the intermittence of the phenomena in observation using local functions instead of using elementary functions which cover the all measurements domain e.g. Fourier Series no influence is assumed between widely estimated measurements of the desired variable. 3.1.2 Results As in other field .