scholarly journals A Study on Optimal Deployment for Improvement of EMI between MOSCOS and ES DF Antenna on a Surface Ship

2017 ◽  
Vol 20 (2) ◽  
pp. 197-205
Author(s):  
Hoseong Chang ◽  
Yoonjun Son
Keyword(s):  
Surface Ship ◽  
Optimal Deployment

Review of Department of the Navy, Judge Advocate General's Surface Ship Fire Investigation Reports for the Period 1980 through 1986

1989 ◽  
Author(s):  
J. T. Leonard ◽  
Jr Shanley ◽  
Scheffey J. H. ◽  
Ferguson J. L. ◽  
J. B.
Keyword(s):  
Fire Investigation ◽  
Surface Ship ◽  
Department Of The Navy

On the Effective Parallelization and Near-Optimal Deployment of Service Function Chains

2021 ◽  
Vol 32 (5) ◽  
pp. 1238-1255
Author(s):  
Jianzhen Luo ◽  
Jun Li ◽  
Lei Jiao ◽  
Jun Cai
Keyword(s):  
Service Function ◽  
Optimal Deployment

scholarly journals Optimal Deployment Framework for Multi-Cloud Virtualized Radio Access Networks

2020 ◽  
pp. 1-1
Author(s):  
Fahri Wisnu Murti ◽  
Jose A. Ayala-Romero ◽  
Andres Garcia-Saavedra ◽  
Xavier Costa-Perez ◽  
George Iosifidis
Keyword(s):  
Access Networks ◽  
Radio Access Networks ◽  
Radio Access ◽  
Optimal Deployment ◽  
Multi Cloud

scholarly journals Modified Vector Field Path-Following Control System for an Underactuated Autonomous Surface Ship Modelin the Presence of Static Obstacles

2021 ◽  
Vol 9 (6) ◽  
pp. 652
Author(s):  
Haitong Xu ◽  
Miguel A. Hinostroza ◽  
C. Guedes Guedes Soares
Keyword(s):  
Control System ◽  
Vector Field ◽  
Path Following ◽  
Field Method ◽  
Integrated System ◽  
Ship Model ◽  
Surface Ship ◽  
Path Following Control ◽  
Exponentially Stable ◽  
Vector Field Method

A modified path-following control system using the vector field method for an underactuated autonomous surface ship model is proposed in the presence of static obstacles. With this integrated system, autonomous ships are capable of following the predefined path, while avoiding the obstacles automatically. It is different from the methods in most published papers, which usually study path-following and obstacle collision avoidance, separately. This paper considers the coupled path following and collision avoidance task as a whole. Meanwhile, the paper also shows the heading control design method in the presence of static obstacles. To obtain a strong stability property, a nonlinear autopilot is designed based on the manoeuvring tests of the free-running ship model. The equilibrium point of the controller is globally exponentially stable. For the guidance system, a novel vector field method was proposed, and the proof shows the coupled guidance and control system is uniform semi-global exponentially stable (USGES). To prevent the obstacles near the predefined path, the proposed guidance law is augmented by integrating the repelling field of obstacles so that it can control the ship travel toward the predefined path through the obstacles safely. The repelling field function is given considering the obstacle shape and collision risk using the velocity obstacle (VO) algorithm. The simulations and ship model test were performed to validate the integrated system of autonomous ships.

scholarly journals Towards a Framework of Operational-Risk Assessment for a Maritime Autonomous Surface Ship

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3879
Author(s):  
Cunlong Fan ◽  
Jakub Montewka ◽  
Di Zhang
Keyword(s):  
Expert Knowledge ◽  
Safety Evaluation ◽  
Manual Control ◽  
Operational Mode ◽  
Surface Ship ◽  
Open Questions ◽  
Study Results ◽  
Operational Modes ◽  
Mass Case

Global research interest in the domain of maritime autonomous surface ships (MASS) is dramatically increasing. With new prototypes planned to be set to the seas where various operational modes (OMs) are claimed, the issue of the safety evaluation of an MASS, and criteria for selecting the appropriate OM for given conditions remain open questions. This paper proposes a four-step risk-informed framework to assess risk in a scenario for an MASS operating at one of three OMs: manual control (MC), remote control (RC), and autonomous control (AC). To this end, the concept of risk priority numbers (RPNs), adopted from failure mode and effects analysis (FMEA), is utilized. The required parameters to defined RPNs are obtained in the course of analyzing a model MASS accident with expert knowledge. The applicability of the proposed framework is demonstrated via a model MASS case study. Results reveal that, in the same scenario, the risk of MASS varied across the analyzed OMs. On the basis of the aggregated results for each operational mode, suggestions for OM switching are put forward.

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