scholarly journals A detection and restoration approach for vessel trajectory anomalies based on AIS

2021 ◽  
Vol 39 (1) ◽  
pp. 119-125
Author(s):  
Lixiang Zhang ◽  
Yi'an Zhu ◽  
Wei Lu ◽  
Jie Wen ◽  
Junyun Cui
Keyword(s):  
Singular Point ◽  
Data Processing ◽  
Cubic Spline ◽  
New Method ◽  
Spline Method ◽  
Continuous Increase ◽  
Location Data ◽  
Single Location ◽  
Abnormal Points ◽  
Application Scope

In view of the continuous increase in the amount of AIS data at sea and the existence of more abnormal points, it is difficult to construct ship trajectories based on AIS data. Aiming at this problem, a new method for identifying and repairing abnormal points in trajectories only based the AIS data of the ship itself is proposed. Longitude and latitude, speed, acceleration, direction and other parameters are comprehensively used to identify and repair the abnormal points in the method proposed. Compared with the methods based on single location data, it can effectively reduce the missed judgement of outliers. Compared with the methods based on trajectories clustering to judge singular point, this method does not require the data of historical trajectories to expand the application scope. The cubic spline method is used to interpolate points for the discontinuous segments to further improve the continuity and integrity of the ship trajectory. The results of AIS data processing and analysis on ships in actual sea areas verify the feasibility and effectiveness of the proposed method.

scholarly journals Instruction Based Power Estimation Method in AURIX Micro controller

2021 ◽  
Vol 23 (06) ◽  
pp. 784-793
Author(s):  
Kiran Guruprasad Shetty P S ◽  
◽  
Dr. Ravish Aradhya H V ◽  
Keyword(s):  
Data Processing ◽  
Data Transfer ◽  
Estimation Method ◽  
Power Estimation ◽  
New Method ◽  
Abstraction Levels ◽  
Program Software

Power estimation is a very prominent aspect in micro controllers which aims to to be more efficient in terms of power. A new method of estimation of power based on the execution of instruction in AURIX, which is an automotive micro- controller is proposed. The main aim of this method is to estimate the power in perspective of program(software) or instruction level which is constantly processed in microprocessor which is more accurate when compared with the previous methodologies. The estimation is done based on some set of instructions which is used in AURIX for Data transfer/storing in to memories, Data processing and Data Execution for various application. Most of the previous methodologies are all not accurate due to the abstraction levels.

scholarly journals Non-parametric estimation of population size changes from the site frequency spectrum

2017 ◽  
Author(s):  
Berit Lindum Waltoft ◽  
Asger Hobolth
Keyword(s):  
Population Size ◽  
Frequency Spectrum ◽  
Goodness Of Fit ◽  
Weighted Average ◽  
Cubic Spline ◽  
Parametric Estimation ◽  
New Method ◽  
Eigenvalue Decomposition ◽  
Human Populations ◽  
Site Frequency Spectrum

AbstractThe variability in population size is a key quantity for understanding the evolutionary history of a species. We present a new method, CubSFS, for estimating the changes in population size of a panmictic population from the site frequency spectrum. First, we provide a straightforward proof for the expression of the expected site frequency spectrum depending only on the population size. Our derivation is based on an eigenvalue decomposition of the instantaneous coalescent rate matrix. Second, we solve the inverse problem of determining the variability in population size from an observed SFS. Our solution is based on a cubic spline for the population size. The cubic spline is determined by minimizing the weighted average of two terms, namely (i) the goodness of fit to the SFS, and (ii) a penalty term based on the smoothness of the changes. The weight is determined by cross-validation. The new method is validated on simulated demographic histories and applied on data from nine different human populations.

Geophysics Bright Spots

2020 ◽  
Vol 39 (3) ◽  
pp. 212-213
Author(s):  
Jyoti Behura
Keyword(s):  
Data Processing ◽  
Seismic Data ◽  
Cutting Edge ◽  
New Method ◽  
Seismic Data Processing ◽  
Light Bulb ◽  
Colorado School ◽  
Bright Spots ◽  
Outside The Box

Welcome to a new collection of Geophysics Bright Spots. I remember reading the first Bright Spots column as a student at Colorado School of Mines. Steve Hill, who conceived the wonderful idea of initiating this column, was my instructor there for a course on seismic data processing. He is a brilliant teacher — always challenging his students to think outside the box and ever open to discussions and debates. Through this column, he exposed readers to cutting-edge research in the field of geophysics while providing a new and important platform for authors to reach industry practitioners. Below is a list of research the editors found interesting in the latest issue of Geophysics. If any of them pique your interest, please read the full Geophysics article. Maybe a light bulb will go off in your head for a new method or algorithm.

A New Method of Data Processing Based on Geomagic Studio and Imageware in Reverse Modeling of Equipment Parts

2011 ◽  
Vol 120 ◽  
pp. 89-93
Author(s):  
Qun Zhang Tu ◽  
Jian Xun Zhao ◽  
Da Zhen Su ◽  
Jun Yan
Keyword(s):  
Data Processing ◽  
Point Clouds ◽  
New Method ◽  
Practical Application ◽  
Processing Flow

The processing flow of data clouds is analyzed concretely. Based on software Geomagic Studio and Imageware, a new method of data processing for point clouds is put forward, and the scheme of data processing is designed. Taking a mechanism part for example, the practical application is performed, and proves the feasibility and practicality of the method.

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