scholarly journals Method for Select Best AIS Data in Prediction Vessel Movements and Route Estimation

2021 ◽  
Vol 11 (5) ◽  
pp. 2429
Author(s):  
Rogelio Bautista-Sánchez ◽  
Liliana Ibeth Barbosa-Santillan ◽  
Juan Jaime Sánchez-Escobar
Keyword(s):  
Historical Data ◽  
Resource Saving ◽  
Navigation Data ◽  
Computational Performance ◽  
Commercial Exchange ◽  
Maritime Navigation ◽  
Prediction Techniques ◽  
Computational Resources ◽  
Sample Method ◽  
Complete Path

The prediction of vessel maritime navigation has become an exciting topic in the last years, especially considering economics, commercial exchange, and security. In addition, vessel monitoring requires better systems and techniques that help enterprises and governments to protect their interests. Specifically, the prediction of vessel movements is essential for safety and tracking. However, the applications of prediction techniques have a high cost related to computational efficiency and low resource saving. This article presents a sample method to select historical data on vessel-specific routes to optimize the computational performance of the prediction of vessel positions and route estimation in real-time. These historical navigation data can help to estimate a complete path and perform vessel position predictions through time. This Select Best AIS Data in Prediction Vessel Movements and Route Estimation (PreMovEst) method works in a Vessel Traffic Service database to save computational resources when predictions or route estimations are executed. This article discusses AIS data and the artificial neural network. This work aims to present a prediction model that correctly predicts the physical movement in the route. It supports path planning for the Vessel Traffic Service. After testing the method, the results obtained for route estimation have a precision of 76.15%, and those for vessel position predictions through time have an accuracy of 81.043%.

A Gaze-Contingent System for Foveated Multiresolution Visualization of Vector and Volumetric Data

2020 ◽  
Vol 2020 (1) ◽  
pp. 374-1-374-11
Author(s):  
Thanawut Ananpiriyakul ◽  
Joshua Anghel ◽  
Kristi Potter ◽  
Alark Joshi
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Scientific Data ◽  
Graphics Hardware ◽  
Limiting Factor ◽  
The Gaze ◽  
Computational Performance ◽  
Foveated Imaging ◽  
Novel Algorithms ◽  
Computational Resources

Computational complexity is a limiting factor for visualizing large-scale scientific data. Most approaches to render large datasets are focused on novel algorithms that leverage cutting-edge graphics hardware to provide users with an interactive experience. In this paper, we alternatively demonstrate foveated imaging which allows interactive exploration using low-cost hardware by tracking the gaze of a participant to drive the rendering quality of an image. Foveated imaging exploits the fact that the spatial resolution of the human visual system decreases dramatically away from the central point of gaze, allowing computational resources to be reserved for areas of importance. We demonstrate this approach using face tracking to identify the gaze point of the participant for both vector and volumetric datasets and evaluate our results by comparing against traditional techniques. In our evaluation, we found a significant increase in computational performance using our foveated imaging approach while maintaining high image quality in regions of visual attention.

Shape Optimization of 3D Mechanical Systems Using Metamodels

2013 ◽  
Vol 705 ◽  
pp. 429-435
Author(s):  
Alexander Janushevskis ◽  
Anatolijs Melnikovs ◽  
Alexander Boyko
Keyword(s):  
Shape Optimization ◽  
Statistical Data ◽  
Lattice Structure ◽  
Optimization Technique ◽  
Design Parameters ◽  
Resource Saving ◽  
Software Packages ◽  
Weighted Polynomials ◽  
Computational Resources ◽  
Mechanical Objects

In this work resource saving technique is used for shape optimization of 3D mechanical objects. According to statistical data, appearance of cracks in the areas of barrel support pads of tank wagons often causes damages to the barrels. The shape optimization of barrel support pads of a tank wagon is implemented and, as result, the concentration of stresses is significantly reduced in the barrel support areas. The optimization technique is based on CAD/CAE, design of experiment, approximation and optimization software packages. The shape of the support pads is defined by NURBS polygon points that serve as design parameters. For reduction of computational resources, FE models of tank wagon are replaced with high-quality metamodels which are based on locally weighted polynomials. The specific recommendations for the shape of the pads are given. As the second object truly spatial tetrapod is considered. The optimal curved shape of the tetrapod for lattice structure is elaborated.

Augmented reality for maritime navigation data visualisation: a systematic review, issues and perspectives

2021 ◽  
pp. 1-18
Author(s):  
Francesco Laera ◽  
Michele Fiorentino ◽  
Alessandro Evangelista ◽  
Antonio Boccaccio ◽  
Vito M. Manghisi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Augmented Reality ◽  
Data Visualisation ◽  
Publication Type ◽  
Technological Readiness ◽  
Navigation Data ◽  
Fundamental Information ◽  
Scientific Papers ◽  
Maritime Navigation ◽  
Augmented Reality Technology

Abstract This study investigates the use of augmented reality technology (AR) in the field of maritime navigation and how researchers and designers have addressed AR data visualisation. The paper presents a systematic review analysing the publication type, the AR device, which information elements are visualised and how, the validation method and technological readiness. Eleven AR maritime solutions identified from scientific papers are studied and discussed in relation to previous navigation tools. It is found that primitive information such as course, compass degrees, boat speed and geographic coordinates continue to be fundamental information to be represented even with AR maritime solutions.

scholarly journals A Quantum Blind Multi-Signature Method for the Industrial Blockchain

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1520
Author(s):  
Zhengying Cai ◽  
Shi Liu ◽  
Zhangyi Han ◽  
Rui Wang
Keyword(s):  
Quantum Entanglement ◽  
Quantum Key Distribution ◽  
Key Distribution ◽  
Future Research ◽  
Research Directions ◽  
Computational Performance ◽  
Future Research Directions ◽  
Computational Resources

Traditional anti-quantum methods and multi-signature technologies to secure the blockchain against quantum attacks will quickly reduce the efficiency and scalability of the industrial blockchain, where the computational resources will experience a polynomial rise with the increasing number of traders. Here, a quantum blind multi-signature method is proposed for the multi-party transaction to provide anti-quantum security. First, the proposed multi-party transaction frame and quantum key distribution in the industrial blockchain are introduced. It integrates a novel quantum blind multi-signature algorithm that is based on the quantum entanglement mechanism, and it is absolutely secure in theory. Second, the anti-quantum multi-signature algorithm is illustrated, where there are four phases, i.e., initialization, signing, verification, and implementation. Third, the security and complexity of the proposed framework are analyzed and compared with related methods in references, and our proposed method is verified to be able to offer good computational performance and blockchain scalability for multi-party transaction. Last, the paper is summarized and future research directions are proposed.

Detection of Abnormal Vessel Behaviour Based on Probabilistic Directed Graph Model

2020 ◽  
Vol 73 (5) ◽  
pp. 1014-1035
Author(s):  
Huang Tang ◽  
Liqiao Wei ◽  
Yong Yin ◽  
Helong Shen ◽  
Yinghong Qi
Keyword(s):  
Directed Graph ◽  
Historical Data ◽  
Graph Model ◽  
Statistical Characteristics ◽  
Automatic Identification ◽  
Trajectory Data ◽  
Abnormal Behaviour ◽  
Simulation Experiments ◽  
Probability Map ◽  
Maritime Navigation

To detect the abnormal behaviour of ships in the waters of any jurisdiction and to improve the safety of maritime navigation, the meshing-based method is adopted to obtain discrete trajectory data and a probabilistic directed graph model is established to obtain historical data from ships' AIS (automatic identification systems). The state statistical characteristics of each node in the ship probability map are obtained to detect the navigation state of the ship in real time. By predicting the normal navigation trajectory of the ship, it can be judged whether the ship has the potential to behave abnormally at some moment in the future. Simulation experiments were designed based on a maritime simulator platform. The experimental results indicate that the model can correctly predict abnormal behaviour by ships, including excessive speed and deviation from the channel or normal sailing mode.

Practical electron tomography

1995 ◽  
Vol 53 ◽  
pp. 742-743
Author(s):  
C.L. Woodcock
Keyword(s):  
Electron Tomography ◽  
Tomographic Reconstruction ◽  
Three Dimensional ◽  
3D Shape ◽  
Computational Resources ◽  
Shape Of Particles

Despite the potential of the technique, electron tomography has yet to be widely used by biologists. This is in part related to the rather daunting list of equipment and expertise that are required. Thanks to continuing advances in theory and instrumentation, tomography is now more feasible for the non-specialist. One barrier that has essentially disappeared is the expense of computational resources. In view of this progress, it is time to give more attention to practical issues that need to be considered when embarking on a tomographic project. The following recommendations and comments are derived from experience gained during two long-term collaborative projects.Tomographic reconstruction results in a three dimensional description of an individual EM specimen, most commonly a section, and is therefore applicable to problems in which ultrastructural details within the thickness of the specimen are obscured in single micrographs. Information that can be recovered using tomography includes the 3D shape of particles, and the arrangement and dispostion of overlapping fibrous and membranous structures.

Regional Policy in the Field of Natural Resources Management in the Far North

2003 ◽  
pp. 108-116
Author(s):  
A. Bykov
Keyword(s):  
Economic Development ◽  
Natural Resources ◽  
Regional Policy ◽  
Natural Resources Management ◽  
Economic Factors ◽  
Resource Saving ◽  
Resources Management ◽  
Legal Norms ◽  
Far North ◽  
The Russian Federation

According to the legal norms of the Russian Federation in the ownership, usage and disposal of natural resources the author analyses interaction between natural resources users and local authorities. The interaction is based upon ecological and economic factors, which cause the peculiarities of requirements put before natural resource users in the Far North. The strategic directions of resource saving economic development of these regions are considered.

Fiscal rules: Excessive limitation or indispensable instrument of fiscal sustainability?

2016 ◽  
pp. 5-29 ◽  
Author(s):  
E. Gurvich ◽  
I. Sokolov
Keyword(s):  
Historical Data ◽  
Federal Budget ◽  
Fiscal Sustainability ◽  
Fiscal Rules ◽  
External Shocks ◽  
Base Price ◽  
Depth Analysis ◽  
Fiscal Balance ◽  
Lower Size ◽  
Budget Expenditure

In-depth analysis of international and Russia’s experiences with implementing fiscal rules is presented. Theoretical and empirical evidences are suggested in favor of retaining the present fiscal rules with some modifications aimed at ensuring: a) a relatively stable level of federal budget expenditure with guaranteed full execution of all commitments; b) countercyclical fiscal policy, based on flexibleand proper reaction to revenue changes; and c) robustness of fiscal rules to internal and external shocks. The main new features suggested include modified calculation of the oil base price, different measurement of cyclical fiscal revenues, lower size of structural fiscal balance, and thorough specification of sources for each item of the balance. The modified rules envisage increased flexibility by relaxing to a pre-set extent and for a pre-set time spending limits in response to extreme shocks. The suggested version of fiscal rules has been tested by application to historical data for 2005-2015, and macro projections for 2015-2025.

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