Results 51 to 60 of about 8,703,478 (291)
Methodology of Introducing Fleet Management System
Promet (Zagreb), 2008 Fleet management systems are increasingly changing invarious transport companies. Although according to claims ofdifferent producers, the usage of such systems can achieve greatsavings in the business operation, the studies show that for ...
Kristijan Rogić +2 more
doaj +1 more source
Fleet Management and Charging Scheduling for Shared Mobility-on-Demand System: A Systematic Review
IEEE Open Access Journal of Power and Energy, 2022 Challenged by urbanization and increasing travel needs, existing transportation systems call for new mobility paradigms. In this article, we present the fleet management and charging scheduling of a shared mobility-on-demand system, whereby electric ...
Wenrui Tan +3 more
doaj +1 more source
International Journal For Multidisciplinary Research, 2023 The Internet of Things (IoT) and big data have become popular subjects in recent years. New applications, like predictive maintenance, are possible with all this data being created. For a fleet of public transportation buses, consensus self-organized models approach (COSMO) is an illustration of a predictive maintenance system that aims to identify ...
Shiva Prasad Gupta -, Saumya Vatsyayan -
openaire +1 more source
Multilevel organisational structure in the management of fleet safety [PDF]
, 2006 This thesis presents a program of research exploring the multilevel organisational structure of fleet safety management. The aim of this research was to investigate three current fleet safety initiatives, and individual and contextual factors influencing
Newnam, Sharon
core
Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Advanced Photonics Research, Volume 6, Issue 5, May 2025.Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
In-Field Route Planning Optimisation and Performance Indicators of Grain Harvest Operations
Agronomy, 2022 Operational planning, automation, and optimisation of field operations are ways to sustain the production of food and feed. A coverage path planning method mitigating the optimisation and automation of harvest operations, characterised by capacity ...
Michael Nørremark +2 more
doaj +1 more source
Effort allocation of the Dutch beam trawl fleet in response to a temporarily closed area in the North Sea [PDF]
, 2001 The spawning stock of North Sea cod is at a historic low level and immediate management measures are needed to improve this situation. As a first step, the European Commission in 2001 closed a large area in the North Sea between February 15 and April 30 ...
Piet, G.J., Poos, J.J., Rijnsdorp, A.D.
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Definition of Reference Models for Power, Weight, Working Width, and Price for Seeding Machines
Agriculture, 2018 Machine functional parameters define fleet composition and management and, thus, play an important role in economic and environmental performance. Large availability of programming methods and decision support systems are available in the market, however,
Tatevik Yezekyan +4 more
doaj +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source