Results 51 to 60 of about 2,653,958 (217)
GNSS Software-Defined Radio: History, Current Developments, and Standardization Efforts
Taking the work conducted by the global navigation satellite system (GNSS) software-defined radio (SDR) working group during the last decade as a seed, this contribution summarizes, for the first time, the history of GNSS SDR development.
Thomas Pany+16 more
doaj +1 more source
ABSTRACT River managers are beginning to adopt natural capital approaches in practice. However, while it is crucial for river management, the link between river asset condition and the flow of ecosystem services is poorly understood. In this study, we conducted a Quick Scoping Review (QSR) of the research into river asset condition and ecosystem ...
Valentina Zini+7 more
wiley +1 more source
The Iris software radio has been updated to collect one-way Doppler and range data for potential use with deep space autonomous navigation. One-way radiometric data have found limited use because a typical radio oscillator is not sufficiently stable for ...
Todd Ely, Zaid Towfic, Dana Sorensen
doaj +1 more source
The North American river otter Lontra canadensis is a semi‐aquatic furbearer species that historically ranged throughout North America. Starting in the mid‐1800s and continuing through the early 1900s, the negative effects associated with anthropogenic disturbances (i.e.
Christopher K. Williams+3 more
wiley +1 more source
ABSTRACT The life cycle of the European eel (Anguilla anguilla) is inherently risky because it relies on the successful migration of larvae and adults across thousands of kilometres of the Atlantic Ocean. In between these migrations, eels need to grow and develop to maximise their potential for successful reproduction.
David Righton+2 more
wiley +1 more source
Biocentric Work in the Anthropocene: How Actors Regenerate Degenerated Natural Commons
Abstract As natural commons vital to selves, organizations, and institutions collapse under cumulative anthropogenic pressures, can human agency still reverse some of the damage already done? This article explores how emerging forms of social symbolic work regenerate degenerated natural commons.
Laura Albareda, Oana Branzei
wiley +1 more source
Improved context-sensitive transformer model for inland vessel trajectory prediction [PDF]
Physics-related and model-based vessel trajectory prediction is highly accurate but requires specific knowledge of the vessel under consideration which is not always practical. Machine learning-based trajectory prediction models do not require expert knowledge, but rely on the implicit knowledge extracted from massive amounts of data.
arxiv +1 more source
Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach [PDF]
Using data sources beyond the Automatic Identification System to represent the context a vessel is navigating in and consequently improve situation awareness is still rare in machine learning approaches to vessel trajectory prediction (VTP). In inland shipping, where vessel movement is constrained within fairways, navigational context information is ...
arxiv +1 more source
Vessel-following model for inland waterways based on deep reinforcement learning [PDF]
While deep reinforcement learning (RL) has been increasingly applied in designing car-following models in the last years, this study aims at investigating the feasibility of RL-based vehicle-following for complex vehicle dynamics and strong environmental disturbances.
arxiv
Sand‐Hungry: Accumulations, Erosions, and the Self‐Feeding Logic of Beach Renourishment
Abstract This paper interrogates the metaphor of beach renourishment to show how this common coastal engineering practice feeds its own logic. In a coastal town in Florida, renourishment (the practice of dredging sand to combat erosion) shores up the coastline materially and, importantly, politically, as a wider beachfront protects coastal property ...
Kimberly Schoemaker
wiley +1 more source