maritime search and rescue
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Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 83
Author(s):  
Sung-Won Cho ◽  
Jin-Hyoung Park ◽  
Hyun-Ji Park ◽  
Seongmin Kim

In the event of a maritime accident, surveying the maximum area efficiently in the least amount of time is crucial for rescuing survivors. Increasingly, unmanned aerial vehicles (UAVs) are being used in search and rescue operations. This study proposes a method to generate a search path that covers all generated nodes in the shortest amount of time with multiple heterogeneous UAVs. The proposed model, which is a mixed-integer linear programming (MILP) model based on a hexagonal grid-based decomposition method, was verified through a simulation analysis based on the performance of an actual UAV. This study presents both the optimization technique’s calculation time as a function of the search area size and the various UAV routes derived as the search area grows. The results of this study can have wide-ranging applications for emergency search and rescue operations.


2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Marzena Malyszko

The article discusses methods of ships assessment when determining their suitability for search and rescue action (SAR) at sea. Selection of the most preferable ships is one of the action planning elements. Due to various construction and equipment the civilian ships can only perform rescue task to a certain degree. According to the Multi-Criteria Decision Analysis (MCDA), many parameters and data have to be compared in order to create a ranking of vessels ordered according to the coordinator’s preferences. When data are missing, incomplete or uncertain, a similar effect can be obtained using fuzzy logic. The author discussed the nature of the criteria, evaluation methods and presented a simulation of a ship study using fuzzy logic. The author developed fuzzy rules and presented the principle of operation of the controller. The article deals with the main principles of a decision support system (DSS) for the selection of ships in SAR operations.


2021 ◽  
Vol 241 ◽  
pp. 110098
Author(s):  
Bo Ai ◽  
Maoxin Jia ◽  
Hanwen Xu ◽  
Jiangling Xu ◽  
Zhen Wen ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yixiong Yu

AbstractThe selection of optimal search effort for air-sea integrated search has become the most concerned issue for maritime search and rescue (MSAR) departments. Helicopters play an important role in maritime search because of their strong maneuverability and hovering ability. In this work, the requirements of maritime search were analyzed, from which a global optimization model with quantitative constraints for vessels and aircraft was developed by setting the least search time as single-objective optimization problem; then the improved Dinkelbach algorithm was used to solve the continuous programming problem, and the discrete mission planning algorithm was used to improve the calculation accuracy of search time and area. A case study shows that the errors in calculating search time and area decrease from 12–18 min to 36 s and from 76.5 to 0.45 n mile2, respectively. The results obtained from the discrete mission planning algorithm can provide better guidance for MASR departments in selecting optimal search scheme.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252129
Author(s):  
Guobo Wang ◽  
Minglu Ma ◽  
Lili Jiang ◽  
Fengyun Chen ◽  
Liansheng Xu

Based on the missing situation and actual needs of maritime search and rescue data, multiple imputation methods were used to construct complete data sets under different missing patterns. Probability density curves and overimputation diagnostics were used to explore the effects of multiple imputation. The results showed that the Data Augmentation (DA) algorithm had the characteristics of high operation efficiency and good imputation effect, but the algorithm was not suitable for data imputation when there was a high data missing rate. The EMB algorithm effectively restored the distribution of datasets with different data missing rates, and was less affected by the missing position; the EMB algorithm could obtain a good imputation effect even when there was a high data missing rate. Overimputation diagnostics could not only reflect the data imputation effect, but also show the correlation between different datasets, which was of great importance for deep data mining and imputation effect improvement. The Expectation-Maximization with Bootstrap (EMB) algorithm had a poor estimation effect on extreme data and failed to reflect the dataset’s variability characteristics.


2021 ◽  
Vol 20 (2) ◽  
pp. 41-47
Author(s):  
Olga Potemkina ◽  

The article analyses the accusations made by the press against the Frontex agency (The European Border and Coast Guard Agency – EBCG). Media investigations have revealed noncompliance with the norms of European and international law in the agency’s operations, including violations of migrants’ rights during maritime search and rescue operations: pushback of boats, abuse of authority during return of those who were refused asylum. The author presents the positions of the Council and the Commission, emphasizing that the activities and reputation of the EBCG are very important for the EU leadership, since the agency’s reform is one of the few points of the program document «Pact on Migration and Asylum» that does not cause objections from the Member States. The article also touches upon the issues of arming the agency’s personnel, which cannot be organized without a clear legal justification. While agreeing with the Commission’s assertion that the increased attention to Frontex’s activities is due to the prospects for expanding its powers, staff and funding, the author still concludes that the agency’s problems reflect the unsatisfactory state of the EU’s migration and asylum policy.


Author(s):  
Thomas Harzheim ◽  
Marc Mühmel ◽  
Holger Heuermann

Abstract This paper introduces a new maritime search and rescue system based on S-band illumination harmonic radar (HR). Passive and active tags have been developed and tested while attached to life jackets and a small boat. In this demonstration test carried out on the Baltic Sea, the system was able to detect and range the active tags up to a distance of 5800 m using an illumination signal transmit-power of 100 W. Special attention is given to the development, performance, and conceptual differences between passive and active tags used in the system. Guidelines for achieving a high HR dynamic range, including a system components description, are given and a comparison with other HR systems is performed. System integration with a commercial maritime X-band navigation radar is shown to demonstrate a solution for rapid search and rescue response and quick localization.


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