The Experts below are selected from a list of 24 Experts worldwide ranked by ideXlab platform
Axel Hahn - One of the best experts on this subject based on the ideXlab platform.
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Statistical Maneuver Net Generation for Anomaly Detection in Navigational Waterways
2019 6th International Conference on Control Decision and Information Technologies (CoDIT), 2019Co-Authors: Arne Lamm, Axel HahnAbstract:Maritime Observation Systems (AIS, radar, ...) generating a lot of data, which have a great potential to gain new insights and a better understanding of the maritime traffic. Identifying anomalies (e.g. unplanned maneuvers) for test case generation is an important topic in the development process of highly automated systems. For anomaly detection it is necessary to identify common behavior, to separate normal from anomal maneuvering in navigational waterways. By Observing Vessel tracks, the behavior can be derived from the driven maneuvers of a Vessel. Extracting maneuvers out of historical observation data (e.g. AIS) is an important task. In the following work the authors propose the Maneuver Net generation process for deriving the sailing behavior and how Maneuver Nets can be used for unplanned maneuver detection.
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CoDIT - Statistical Maneuver Net Generation for Anomaly Detection in Navigational Waterways
2019 6th International Conference on Control Decision and Information Technologies (CoDIT), 2019Co-Authors: Arne Lamm, Axel HahnAbstract:Maritime Observation Systems (AIS, radar, …) generating a lot of data, which have a great potential to gain new insights and a better understanding of the maritime traffic. Identifying anomalies (e.g. unplanned maneuvers) for test case generation is an important topic in the development process of highly automated systems. For anomaly detection it is necessary to identify common behavior, to separate normal from anomal maneuvering in navigational waterways. By Observing Vessel tracks, the behavior can be derived from the driven maneuvers of a Vessel. Extracting maneuvers out of historical observation data (e.g. AIS) is an important task. In the following work the authors propose the Maneuver Net generation process for deriving the sailing behavior and how Maneuver Nets can be used for unplanned maneuver detection.
Arne Lamm - One of the best experts on this subject based on the ideXlab platform.
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Statistical Maneuver Net Generation for Anomaly Detection in Navigational Waterways
2019 6th International Conference on Control Decision and Information Technologies (CoDIT), 2019Co-Authors: Arne Lamm, Axel HahnAbstract:Maritime Observation Systems (AIS, radar, ...) generating a lot of data, which have a great potential to gain new insights and a better understanding of the maritime traffic. Identifying anomalies (e.g. unplanned maneuvers) for test case generation is an important topic in the development process of highly automated systems. For anomaly detection it is necessary to identify common behavior, to separate normal from anomal maneuvering in navigational waterways. By Observing Vessel tracks, the behavior can be derived from the driven maneuvers of a Vessel. Extracting maneuvers out of historical observation data (e.g. AIS) is an important task. In the following work the authors propose the Maneuver Net generation process for deriving the sailing behavior and how Maneuver Nets can be used for unplanned maneuver detection.
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CoDIT - Statistical Maneuver Net Generation for Anomaly Detection in Navigational Waterways
2019 6th International Conference on Control Decision and Information Technologies (CoDIT), 2019Co-Authors: Arne Lamm, Axel HahnAbstract:Maritime Observation Systems (AIS, radar, …) generating a lot of data, which have a great potential to gain new insights and a better understanding of the maritime traffic. Identifying anomalies (e.g. unplanned maneuvers) for test case generation is an important topic in the development process of highly automated systems. For anomaly detection it is necessary to identify common behavior, to separate normal from anomal maneuvering in navigational waterways. By Observing Vessel tracks, the behavior can be derived from the driven maneuvers of a Vessel. Extracting maneuvers out of historical observation data (e.g. AIS) is an important task. In the following work the authors propose the Maneuver Net generation process for deriving the sailing behavior and how Maneuver Nets can be used for unplanned maneuver detection.
Virgil Zetterlind - One of the best experts on this subject based on the ideXlab platform.
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Application of a New Shore-Based Vessel Traffic Monitoring System Within San Francisco Bay
Frontiers in Marine Science, 2020Co-Authors: Samantha Cope, Ellen Hines, R.w. Bland, Jerry Davis, Brendan Tougher, Virgil ZetterlindAbstract:Vessel traffic management systems can be employed for environmental management where Vessel activity may be of concern. One such location is in San Francisco Bay where a variety of Vessel types transit a highly-developed urban estuary. We analyzed Vessel presence and speed across space and time using Vessel data from the Marine Monitor, a Vessel tracking system that integrates data from the Automatic Identification System and a marine-radar sensor linked to a high-definition camera. In doing so, we provide data that can inform collision risk to cetaceans who show an increased presence in the Bay and evaluation of the value in incorporating data from multiple sources when Observing Vessel traffic. We found that ferries traveled the greatest distance of any Vessel type. Ferries and other commercial Vessels (e.g., cargo and tanker ships and tug boats) traveled consistently in distinct paths while recreational traffic (e.g., motorized recreational craft and sailing Vessels) was more dispersed. Large shipping Vessels often traveled at speeds greater than 10 kn when transiting the study area, and ferries traveled at speeds greater than 30 kn. We found that distance traveled and speed varied by season for tugs, motorized recreational and sailing Vessels. Distance traveled varied across day and night for cargo ships, tugs, and ferries while speed varied between day and night only for ferries. Between weekdays and weekends, distance traveled varied for cargo ships, ferries, and sailing Vessels, while speed varied for ferries, motorized recreational craft, and sailing Vessels. Radar-detected Vessel traffic accounted for 33.9% of the total track distance observed, highlighting the need to include data from multiple Vessel tracking systems to fully assess and manage Vessel traffic in a densely populated urban estuary.
Samantha Cope - One of the best experts on this subject based on the ideXlab platform.
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Application of a New Shore-Based Vessel Traffic Monitoring System Within San Francisco Bay
Frontiers in Marine Science, 2020Co-Authors: Samantha Cope, Ellen Hines, R.w. Bland, Jerry Davis, Brendan Tougher, Virgil ZetterlindAbstract:Vessel traffic management systems can be employed for environmental management where Vessel activity may be of concern. One such location is in San Francisco Bay where a variety of Vessel types transit a highly-developed urban estuary. We analyzed Vessel presence and speed across space and time using Vessel data from the Marine Monitor, a Vessel tracking system that integrates data from the Automatic Identification System and a marine-radar sensor linked to a high-definition camera. In doing so, we provide data that can inform collision risk to cetaceans who show an increased presence in the Bay and evaluation of the value in incorporating data from multiple sources when Observing Vessel traffic. We found that ferries traveled the greatest distance of any Vessel type. Ferries and other commercial Vessels (e.g., cargo and tanker ships and tug boats) traveled consistently in distinct paths while recreational traffic (e.g., motorized recreational craft and sailing Vessels) was more dispersed. Large shipping Vessels often traveled at speeds greater than 10 kn when transiting the study area, and ferries traveled at speeds greater than 30 kn. We found that distance traveled and speed varied by season for tugs, motorized recreational and sailing Vessels. Distance traveled varied across day and night for cargo ships, tugs, and ferries while speed varied between day and night only for ferries. Between weekdays and weekends, distance traveled varied for cargo ships, ferries, and sailing Vessels, while speed varied for ferries, motorized recreational craft, and sailing Vessels. Radar-detected Vessel traffic accounted for 33.9% of the total track distance observed, highlighting the need to include data from multiple Vessel tracking systems to fully assess and manage Vessel traffic in a densely populated urban estuary.
Shanmugam Achiraman - One of the best experts on this subject based on the ideXlab platform.
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In vivo antitumor activity of biosynthesized silver nanoparticles using Ficus religiosa as a nanofactory in DAL induced mice model.
Colloids and Surfaces B: Biointerfaces, 2013Co-Authors: Jacob Joe Antony, Mohamed Ali Ayisha Sithika, Thomas Amal Joseph, Udhayaraj Suriyakalaa, Arunachalam Sankarganesh, Durairaj Siva, Seenivasan Kalaiselvi, Shanmugam AchiramanAbstract:Abstract Ficus religiosa leaf extract was chosen as a reducing agent to fabricate silver nanoparticles (AgNPs) by a simple, cost-effective and eco-friendly process with the aim of treating Dalton's ascites lymphoma (DAL) in mice model. The formation of synthesized nanoparticles were characterized by UV–visible analysis (UV–vis), Fourier transform infra-red (FT-IR), transmission electron microscopy (TEM), X-ray diffraction (XRD) and zeta potential analyses. A peak at 431 nm indicated the surface plasmon resonance of AgNPs. FTIR studies indicated polyphenols and proteins as possible encapsulates. TEM analysis showed particles size in the range of 5–35 nm. Healthy Swiss Albino mice (30–35 g) were intraperitoneally induced with DAL cells and treated with F. religiosa derived AgNPs at a dose of 50 μg/ml. Blood and liver tissues were collected subsequent to dissection and subjected to hematological, biochemical and anticancer assays. Hematological and biochemical analyses revealed revival after treating with F. religiosa derived AgNPs. Antioxidant activity results further proved supportive evidence. The apoptosis inducing effect of AgNPs was observed through acridine orange staining (AO and EB) and DNA fragmentation assay. Anti- angiogenic activity was confirmed by Observing Vessel development. All these observations indicate that the AgNPs were effective in treatment of DAL.
