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Full-Text Articles in Social and Behavioral Sciences
Maritime Surveillance In The Gulf Of Suez : Identifying Opportunities For Future Improvements, Esslam Hassan, Dimitrios Dalaklis
Maritime Surveillance In The Gulf Of Suez : Identifying Opportunities For Future Improvements, Esslam Hassan, Dimitrios Dalaklis
Conference Papers
The Gulf of Suez (GOS) is one of the most important waterways in the world. Furthermore, issues like maritime safety, avoidance of accidents and effective conduct of navigation, as well as protection of the marine environment in the GOS are always among the highest priorities of Egyptian legislators. As a result, maritime surveillance in the area under discussion is facilitated by a technologically advanced Vessel Traffic Management System (VTMS) that has been established by the competent authority as a cost-effective measure to reduce and mitigate risks in accordance with international standards and guidelines. The main aim of this paper is …
A Hidden Markov Model For Matching Spatial Networks, Benoit Costes, Julien Perret
A Hidden Markov Model For Matching Spatial Networks, Benoit Costes, Julien Perret
Journal of Spatial Information Science
Datasets of the same geographic space at different scales and temporalities are increasingly abundant, paving the way for new scientific research. These datasets require data integration, which implies linking homologous entities in a process called data matching that remains a challenging task, despite a quite substantial literature, because of data imperfections and heterogeneities. In this paper, we present an approach for matching spatial networks based on a hidden Markov model (HMM) that takes full benefit of the underlying topology of networks. The approach is assessed using four heterogeneous datasets (streets, roads, railway, and hydrographic networks), showing that the HMM algorithm …
Integrating Multiple Genetic Detection Methods To Estimate Population Density Of Social And Territorial Carnivores, Sean M. Murphy, Ben C. Augustine, Jennifer R. Adams, Lisette P. Waits, John J. Cox
Integrating Multiple Genetic Detection Methods To Estimate Population Density Of Social And Territorial Carnivores, Sean M. Murphy, Ben C. Augustine, Jennifer R. Adams, Lisette P. Waits, John J. Cox
Forestry and Natural Resources Faculty Publications
Spatial capture–recapture models can produce unbiased estimates of population density, but sparse detection data often plague studies of social and territorial carnivores. Integrating multiple types of detection data can improve estimation of the spatial scale parameter (σ), activity center locations, and density. Noninvasive genetic sampling is effective for detecting carnivores, but social structure and territoriality could cause differential detectability among population cohorts for different detection methods. Using three observation models, we evaluated the integration of genetic detection data from noninvasive hair and scat sampling of the social and territorial coyote (Canis latrans). Although precision of estimated density was …
Smartphone Sensing Meets Transport Data: A Collaborative Framework For Transportation Service Analytics, Yu Lu, Archan Misra, Wen Sun, Huayu Wu
Smartphone Sensing Meets Transport Data: A Collaborative Framework For Transportation Service Analytics, Yu Lu, Archan Misra, Wen Sun, Huayu Wu
Research Collection School Of Computing and Information Systems
We advocate for and introduce TRANSense, a framework for urban transportation service analytics that combines participatory smartphone sensing data with city-scale transportation-related transactional data (taxis, trains etc.). Our work is driven by the observed limitations of using each data type in isolation: (a) commonly-used anonymous city-scale datasets (such as taxi bookings and GPS trajectories) provide insights into the aggregate behavior of transport infrastructure, but fail to reveal individual-specific transport experiences (e.g., wait times in taxi queues); while (b) mobile sensing data can capture individual-specific commuting-related activities, but suffers from accuracy and energy overhead challenges due to usage artefacts and lack …
Early Work In Database Research On Schema Mapping/Merging/Transformation, Semantic Heterogeneity, And Use Of Ontology And Description Logics For Schematic And Semantic Integration, Amit P. Sheth
Kno.e.sis Publications
No abstract provided.