A5054072214- Maritime Navigation and Safety
- Maritime Security and History
- Maritime Transport Emissions and Efficiency
- Travel-related health issues
- Data Quality and Management
- Data Management and Algorithms
- Maritime Ports and Logistics
- Anomaly Detection Techniques and Applications
- Marine and fisheries research
- Vehicle emissions and performance
- Advanced Database Systems and Queries
- Ocean Waves and Remote Sensing
- Privacy-Preserving Technologies in Data
- Oceanographic and Atmospheric Processes
- Engineering Applied Research
- Soil Geostatistics and Mapping
- Ship Hydrodynamics and Maneuverability
- Cloud Computing and Resource Management
- Marine animal studies overview
- Software System Performance and Reliability
- Orthopedic Surgery and Rehabilitation
- Reconstructive Surgery and Microvascular Techniques
- Remote Sensing and LiDAR Applications
- Target Tracking and Data Fusion in Sensor Networks
- Bone fractures and treatments
Hellenic Centre for Marine Research
2020-2024
University of the Aegean
2020-2024
California Maritime Academy
2020
NATO Centre for Maritime Research and Experimentation
2020
University of Salerno
2020
Harokopio University of Athens
2020
Argo (Greece)
2013
Technical University of Crete
2010
Abstract To prevent the outbreak of Coronavirus disease (COVID-19), many countries around world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior global mobility patterns, evidently disrupting economic activities. Here, using maritime traffic data collected via a network Automatic Identification System (AIS) receivers, we analyze effects that COVID-19 pandemic measures had on shipping industry, which...
In this work we propose a novel spatial knowledge discovery pipeline capable of automatically unravelling the "roads sea" and maritime traffic patterns by analysing voluminous vessel tracking data, as collected through Automatic Identification System (AIS). We present computationally efficient highly accurate solution, based on MapReduce approach unsupervised learning methods, identifying spatiotemporal dynamics ship routes most crucially their characteristics, thus deriving "patterns life"...
Abstract Several modern day problems need to deal with large amounts of spatio-temporal data. As such, in order meet the application requirements, more and systems are adapting specificities those The most prominent case is perhaps data storage systems, that have developed a number functionalities efficiently support operations. This work motivated by question which better suited address needs industrial applications. In particular, conducted, set identify efficient store system terms...
Today, most of the maritime surveillance systems rely on automatic identification system (AIS), which is compulsory for vessels specific categories to carry. Anomaly detection typically refers problem finding patterns in data that do not conform expected behaviour. AIS switch-off such a pattern fact many turn off their transponder order hide whereabouts when travelling waters with frequent piracy attacks or potential illegal activity, thus deceiving either authorities other vessels....
Abstract To prevent the outbreak of Coronavirus disease (COVID-19), numerous countries around world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior global mobility patterns, evidently disrupting economic activities. Here, using maritime traffic data, collected via a network Automatic Identification System (AIS) receivers, we analyze effects that COVID-19 pandemic measures had on shipping industry, which...
This paper presents a recently developed Operational Forecast Platform (OFP) for prevailing sea conditions at very important ports worldwide (Accu-Waves). The OFP produces reliable high-resolution predictions of wave characteristics in and around ocean ports. Its goal is to support safer navigation, predict possible port downtime, assist vessel approaching, enhance management towing services, bolster secure ship maneuvering busy the globe. Accu-Waves based on integrated, modelling over...
Well poisoning is an ancient war stratagem which was frequently used as a "scorched earth tactic". Today this tactic has been adapted by malicious attackers to the digital world and evolved into "stream poisoning", in corrupt or fallacious data injected lake, so integrity of information stored there. Numerous maritime surveillance systems nowadays rely on Automatic Identification System (AIS), compulsory for vessels over 299 Gross Tones, vessel tracking purposes. Ship AIS spoofing involves...
Today, most of the maritime surveillance systems rely on automatic identification system (AIS), which is compulsory for vessels specific categories to carry. Anomaly detection typically refers problem finding patterns in data that do not conform expected behaviour. AIS switch-off such a pattern fact many turn off their transponder order hide whereabouts when travelling waters with frequent piracy attacks or potential illegal activity, thus deceiving either authorities other vessels....
Objectives: To evaluate the long-term radiological, clinical, and functional result of intramedullary nailing in intra-articular distal tibia fractures. Design: Retrospective clinical study. Setting: Level II Trauma Hospital. Patients/Participants: Between December 2000 2006, 185 consecutive fractures were admitted our institution. Fifty included According to OTA classification, there 28 (56%) type 43 C1 22 (44%) C2. Intervention: All treated with closed static locking. In 37 (74%) patients,...
In this paper we attempt to define the major trade routes which vessels of follow when travelling across globe in a scalable, data-driven unsupervised way. For this, exploit large volume historical AIS data, so as estimate location and connections routes, with minimal reliance on other sources information. We address challenges posed due data by leveraging distributed computing techniques present novel MapReduce based algorithmic approach, capable handling skewed nonuniform geospatial data....
For applications such as navigation and others, timeliness is a top priority; making the right decision steering vessel away from danger, only useful if it made in due time. Effectiveness of time critical computing systems dependent not on accuracy result produced, but also which was computed. In this paper, we present distributed architecture capable detecting possible collisions, groundings, unexpected communication gaps travel pattern deviations ships fitted with Automatic Identification...
Optimal ship tracks computed via the VISIR model are compared to recorded by Automatic Identification System (AIS).The evaluation regards 43 in Southern Atlantic Ocean, sailed during 2016-2017 different bulk carriers.In this exercise, is fed wave analysis fields from Copernicus Marine Environment Monitoring Service (CMEMS).In order reproduce vessel speed loss waves, a new methodology developed, where kinematic information AIS fusioned with CMEMS.Resulting analyzed along terms of their...
Analysing maritime traffic supports understanding activities that take place at sea, for purposes ranging from spatial planning, improving safety of operations and environmental protection, to studying the biodiversity sustainability ecosystems. Often requires processing very large datasets vessel movement, such as those produced by Automatic Identification System (AIS). Originally developed purpose collision avoidance, AIS allows constant monitoring activity through spatiotemporal messages...
The article “MongoDB Vs PostgreSQL: A comparative study on performance aspects”, written by Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimitrios Zissis, Dimosthenis Anagnostopoulos, was originally published electronically the publisher’s internet portal 05 June 2020 without open access.
The ability to reliably forecast sea states (most importantly level, wind and wave conditions) within or close the entrance of ports is a critical tool for all involved stakeholders. In this paper we present our work on prototype decision support system capable providing accurate state forecasts based three high-resolution hydrodynamic models, i.e. spectral model (model A), mild-slope equation B) barotropic circulation H). We an end novel data processing pipeline, handling challenges posed...
<title>Abstract</title> Ships are often considered as the backbone of global economy. A fundamental unresolved problem is how to best operate fleets, given a sudden increase in demand, such that reported following first months COVID19 pandemic. Advancing our knowledge supply chain's delicate equilibrium between demand and supply, requires analyzing huge amounts ship-related positional data, thus revealing which areas should be avoided due potential congestion buildup where cargoes rerouted...