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Showing 2 results for Saybani

Hamid Zeraatgar, Mesbah Saybani,
Volume 1, Issue 1 (9-2004)
Abstract

Dhow (LanJ) is a wooden vessel which is traditionally operating in Persian Gulf and Oman Sea. In contrast of its frequent lost, ordinary people believe that it has very good behavior at waves. In this study, by means of seakeeping computer software, authors have calculated its dynamic behavior in waves. Comparison between dhow performances in waves against seakeeping criteria has been made. Then, its operable sea waves is concluded. Then the reason behind people believe has been discussed, thoroughly. The end result is that the typical wooden dhow may withstand in waves of significant wave height of not more than 1 meter.


Kumars Mahmoodi, Mesbah Saybani, Abbas Moradi,
Volume 11, Issue 21 (9-2015)
Abstract

Digital Shoreline Analysis System (DSAS) is the most widely used tool by researchers and experts to shoreline change rate measurements. Several factors may cause uncertain data in the measured values by this tool. Understanding these errors and fix them if possible, improve the accuracy of the results. The DSAS does not have this capability. The purpose of this paper is to present a new computational module for DSAS to identify suspected data errors. This module is an executable file that is written using MATLAB software and communicate through XML files with DSAS. Suspected data error detection is performed using statistical methods include: Box plot, Hampel’s test, Median Absolute Deviation (MAD) and Z-score test. The results show the good performance of this module to identify possible errors in data.



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