scholarly journals Multi-Criteria Selection of Surface Units for SAR Operations at Sea Supported by AIS Data

2021 ◽  
Vol 13 (16) ◽  
pp. 3151
Author(s):  
Miroslaw Wielgosz ◽  
Marzena Malyszko
Keyword(s):  
Selection Process ◽  
Traffic Density ◽  
Automatic Identification ◽  
Identification System ◽  
Rescue Services ◽  
Expert Analysis ◽  
Electronic Chart ◽  
And Performance ◽  
High Traffic Density ◽  
Selection Of

The authors discuss currently conducted research aimed at improving the planning and performance of search and rescue (SAR) operations at sea. The focus is on the selection of surface units in areas of high traffic density. A large number of ships in the area of distress can make the process of selection of best suited vessels longer. An analysis of features which may render a vessel unsuitable for the job, depending on the area and type of operation, has been conducted. Criteria of assessment and selection of ships have been described, preceded by an expert analysis. The selection process has been made using Multi-Criteria Decision Analysis (MCDA). The authors propose to apply officially available data from the Automatic Identification System (AIS)—a sensor for the ECDIS and other electronic chart systems—in the analysis of the availability of ships. Algorithms filtering available units have been built and applied in a simulation, using real AIS data, of one of the most common types of SAR operations. The method is proposed as an enhancement of decision support systems in maritime rescue services.

scholarly journals Hiring an External Advisor Hydrology at Water Board De Dommel

2011 ◽  
Vol 3 (1) ◽  
pp. 112
Author(s):  
Bas Plehn
Keyword(s):  
The Netherlands ◽  
Paradigm Shift ◽  
Selection Process ◽  
Professional Services ◽  
Water Board ◽  
Best Value ◽  
And Performance ◽  
Design Firms ◽  
Selection Of

Best value PIPS has been introduced in the Netherlands in the procurement of construction systems. The Water Board De Dommel utilized best value PIPS to select engineering consultant services. The test differed from other Dutch tests in that the PIPS process used the pre-award phase before the award phase. The best value selection of engineers also proposes that design firms can compete on value (price and performance). The engineering selection process was much closer to the original BVP/PIPS than the construction phases. The major lesson learned is the BVP/PIPS is a paradigm shift. The success of the test led to the recommendation of more professional services using BVP/PIPS.

Ship Trajectories Pre-processing Based on AIS Data

2018 ◽  
Vol 71 (5) ◽  
pp. 1210-1230 ◽  
Author(s):  
Liangbin Zhao ◽  
Guoyou Shi ◽  
Jiaxuan Yang
Keyword(s):  
Data Mining ◽  
Traffic Density ◽  
Automatic Identification ◽  
Identification System ◽  
Traffic Data ◽  
Density Maps ◽  
Different Types ◽  
Quality Dimensions ◽  
Time Accuracy

Data derived from the Automatic Identification System (AIS) plays a key role in water traffic data mining. However, there are various errors regarding time and space. To improve availability, AIS data quality dimensions are presented for detecting errors of AIS tracks including physical integrity, spatial logical integrity and time accuracy. After systematic summary and analysis, algorithms for error pre-processing are proposed. Track comparison maps and traffic density maps for different types of ships are derived to verify applicability based on the AIS data from the Chinese Zhoushan Islands from January to February 2015. The results indicate that the algorithms can effectively improve the quality of AIS trajectories.

scholarly journals Using Recommender Systems for Matching Students with Suitable Specialization: An Exploratory Study at King Abdulaziz University

2021 ◽  
Vol 16 (03) ◽  
pp. 316
Author(s):  
Khloud Alshaikh ◽  
Naela Bahurmuz ◽  
Ola Torabah ◽  
Sara Alzahrani ◽  
Zainab Alshingiti ◽  
...  
Keyword(s):  
High School Graduates ◽  
Selection Process ◽  
Accuracy Ratio ◽  
King Abdulaziz University ◽  
Filtering Technique ◽  
Preliminary Study ◽  
And Performance ◽  
Preparatory Year ◽  
Initial Results ◽  
Selection Of

In Saudi Arabia, all high school graduates who want join local universities have to go through a preparatory year before selecting their specific specialization/major. One of the most concerning issues for those fresh undergraduate college students is the selection of their specialization. College specialization selection is critical for them, as their academic and career future will be affected by this decision. An un-suitable specialization selection will have unfortunate consequences, not only on the students' future but also on the university’s resources and budget. This paper sug-gests a solution to this problem by introducing a preliminary study of a recommend-er system (RS), which will recommend the appropriate specialization for the students based on various tests and grades during the preparatory year at King Abdulaziz University (KAU). The proposed system guides students through their specialization selection process based on their abilities. The collaborative filtering technique was used to build the RS and K-fold cross-validation was adopted to evaluate its accura-cy and performance. The results showed the prediction of a specialization for each student with good accuracy ratio. These promising initial results provide a feasible solution to assess this issue further in future studies.

scholarly journals Performance Analysis of a Medium Frequency Offshore Grid for Identification Of Vessels Sailing on High Density Maritime European Routes

2017 ◽  
Vol 24 (4) ◽  
pp. 18-26
Author(s):  
Alfonso López ◽  
Miguel Gutiérrez ◽  
Andrés Ortega ◽  
Cristina Puente ◽  
Alejandro Morales ◽  
...  
Keyword(s):  
Grid Method ◽  
Real Data ◽  
Satellite System ◽  
Simulation Software ◽  
High Density ◽  
Traffic Density ◽  
Automatic Identification ◽  
Identification System ◽  
Distributed Data ◽  
Medium Frequency

Abstract The paper analyses the performance of an Automatic Vessel Identification System on Medium Frequency (AVISOMEF), which works with the Grid Method (GM) on high density maritime European routes using real data and uniformly distributed data. Compared to other systems, AVISOMEF is a novelty, as it is not a satellite system, nor is it limited by a given coverage distance, in contrast to the Automatic Identification System (AIS), though in exceptional circumstances it leans towards it. To perform the analysis, special simulation software was developed. Moreover, a number of maritime routes along with their traffic density data were selected for the study. For each route, two simulations were performed, the first of which based on the uniform traffic distribution along the route, while the second one made use of real AIS data positioning of vessels sailing on the selected routes. The obtained results for both simulations made the basis for formulating conclusions regarding the capacity of selected routes to support AVISOMEF.

scholarly journals How can Automatic Identification System (AIS) data be used for maritime spatial planning?

2018 ◽  
Author(s):  
Matthieu Le Tixerant ◽  
Damien Le Guyader ◽  
Françoise Gourmelon ◽  
Betty Queffelec
Keyword(s):  
Spatial Planning ◽  
Legal Framework ◽  
Traffic Density ◽  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Legal Questions ◽  
Pertinent Data ◽  
Spatio Temporal ◽  
Maritime Spatial Planning

Although the importance of Maritime Spatial Planning (MSP) as a concept is know acknowledged and the legal framework is in place, the task of applying it remains a delicate one. One of the keys to success is having pertinent data. Knowing how maritime uses unfold in a spatio-temporal context, and what conflicting or synergistic interactions exist between activities, is crucial. However, this information is especially hard to obtain in a marine environment. As a result this information has often been identified as the missing layer in information systems developed by maritime stakeholders. Since 2002, the Automatic Identification System (AIS) has been undergoing a major development. Allowing for real time geo-tracking and identification for equipped vessels, the data that issues from AIS data promises to map and describe certain marine human activities.After recapitulating the main characteristics of AIS and the data it provides, this article proposes to evaluate how AIS is currently used in MSP at a European level, and to concisely present a series of methods and results obtained within the framework of several operational research projects. The objective is to illustrate how the AIS data processing and analysis can produce adequate information for MSP: maritime traffic density, shipping lanes and navigation flows, hierarchical network of maritime routes, alleged fishing zones, spatio-temporal interactions between activities (potential conflicting uses or synergies). The conclusion looks in particular at the legal questions concerning the use of AIS.

scholarly journals Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea

2018 ◽  
Vol 25 (4) ◽  
pp. 49-58 ◽  
Author(s):  
Burak Kundakçi ◽  
Selçuk Nas
Keyword(s):  
Data Storage ◽  
Aegean Sea ◽  
Traffic Density ◽  
Automatic Identification ◽  
Identification System ◽  
Cross Sectional ◽  
Marine Traffic ◽  
Desktop Application ◽  
Intersection Algorithm ◽  
Northern Aegean Sea

Abstract Automatic Identification System (AIS) data is used for monitoring the movements of vessels live movements through instant transmission of vessel information while, at the same time, historical AIS data is used for marine traffic analysis by researchers. There are several methods and computer programs developed for the analysis of marine traffic by the use of AIS data. Combining the intersection algorithm proposed by Antonio (1992) and distance calculation method, this study develops a method to analyse vessel distribution on a selected cross sectional line (SCS) in the Northern Aegean Sea. As a complementary to the new methods proposed, a desktop application is developed in C# programming language to visualize the vessel distribution on the SCS line. SQL server is used for AIS data storage and analysis. The study is conducted over 7-day AIS data, specifically 2.382.469 rows and 42.884.442 data in total, belonging to the Northern Aegean Sea marine traffic. As a result, the mapping of the movements of different types of vessels in the Northern Aegean Sea is effectively performed and Frequency-Distance, Draught-Distance, SOG-Distance, SOG-COG distributions on the SCS line are successfully analysed by the new method introduced.

scholarly journals CULTURE USE PROBLEMS IN SELECTION OF ISOLATED MICROSPORES IN GRAIN

2020 ◽  
Vol 55 (1) ◽  
pp. 31-39
Author(s):  
G. A. Iskakova ◽  
D. O. Baisaparova ◽  
D. R. Raimbek ◽  
K. Zh. Zhambakin
Keyword(s):  
Genetic Basis ◽  
Selection Process ◽  
Microspore Culture ◽  
Wheat Breeding ◽  
Identification System ◽  
Cultivar Development ◽  
Isolated Microspores ◽  
New Gene ◽  
Selection Of

Production of haploid plants by culture of isolated microspores is a quick way of obtaining homozygous crop lines. Recessive features of mutant homozygous plants are also possible to determine by this biotechnology. Contrary from anthers culture, in which the presence of anther walls can lead to the development of diploid somatic calli and plants, the microspore culture produces only haploid or dihaploid lines. Isolated microspores culture in addition represents and has a unique identification system for studying the mechanisms of embryogenesis in in vitro culture. The usage of haploid technology extends the genetic basis of wheat breeding, since it allows increasing the frequency of new gene combinations. This technology significantly increases the efficiency of breeding new highly productive varieties of crops. On this basis, it becomes possible to quickly assess the prospects of dihaploids, which significantly improves the efficiency of the selection process. DH plants are completely fertile and, if necessary, may be used as parents or processed as a cultivar. DHs have been widely used for cultivar development, genetic mapping, mutagenesis, and the study of gene functions.

Selection, Development, and Application of Forming and Densification Techniques for Silicon Nitride Heat Engine Components

1992 ◽  
Author(s):  
J. Pollinger ◽  
B. Busovne ◽  
M. Meiser ◽  
J. Nick
Keyword(s):  
Silicon Nitride ◽  
Combustion Engine ◽  
Selection Process ◽  
Heat Engine ◽  
Slip Casting ◽  
Densification Process ◽  
Forming Process ◽  
Material Forming ◽  
And Performance ◽  
Selection Of

A wide variety of silicon nitride structural ceramic components are currently being developed and evaluated for advanced heat engine applications. The size, geometry, and performance requirements of these components are the criteria driving the selection of the appropriate forming process and densification process. The different forming and densification processes have unique forming and resulting property advantages and limitations which must be considered during the selection process. Specific heat engine component applications, including gas turbine components such as hot section wheels and stators, and internal combustion engine cam rollers will be discussed and the rationale for selection of the material, forming process, and densification process will be presented. Performance of the components will be related to the material, forming, and densification techniques used. The forming techniques discussed are slip casting, injection molding, and compaction/ isostatic pressing. The densification techniques discussed are sintering, sinter-HIP, and glass-encapsulation-HIP.

Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System

2015 ◽  
Vol 68 (6) ◽  
pp. 1141-1154 ◽  
Author(s):  
Witold Kazimierski ◽  
Andrzej Stateczny
Keyword(s):  
Information System ◽  
Real Data ◽  
Automatic Identification ◽  
Identification System ◽  
Fusion Method ◽  
Radar Tracking ◽  
Automatic Identification System ◽  
Track Fusion ◽  
Electronic Chart ◽  
Tracking Radar

This paper presents the results of research on the fusion of tracking radar and an Automatic Identification System (AIS) in an Electronic Chart Display and Information System (ECDIS). First, the concept of these systems according to the International Maritime Organization (IMO) is described, then a set of theoretical information on radar tracking and the fusion method itself is given and finally numerical results with real data are presented. Two methods of fusion, together with their parameters, are examined. A proposal for calculating the covariance matrix for radar and AIS data is also given, and the paper ends with conclusions.

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