Results 71 to 80 of about 11,519,954 (284)

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

open access: yesAdvanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu   +6 more
wiley   +1 more source

A Cumulative Prospect Theory Approach to Passengers Behavior Modeling: Waiting Time Paradox Revisited

open access: yesJournal of Intelligent Transportation Systems / Taylor & Francis, 2004
Common travel-choice models are based on the assumption that travelers' behavior is rational. However, using normative models to describe individual choice was criticized by behavioral scientists, and recently also by transportation researchers.
E. Avineri
semanticscholar   +1 more source

Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level [PDF]

open access: yes
We report an empirical analysis of the responses of the supply and demand for secondary care to waiting list size and waiting times. Whereas previous empirical analyses have used data aggregated to area level, our analysis is novel in that it focuses on ...
Frank Windmeijer   +2 more
core  

Chapter 2 Investigating waiting

open access: yes, 2021
Researching ‘waiting’ necessitates practices of attunement to multiple coexisting temporalities and careful processes for handling and holding the temporal material produced by these practices. In this chapter, we share some of what has been learned from
Flexer, Michael J.   +4 more
core  

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ   +7 more
wiley   +1 more source

The effects on waiting times of expanding provider choice:evidence from a policy experiment [PDF]

open access: yes
Long waiting times for inpatient treatment in the UK National Health Service have long been a source of great popular and political concern, and therefore a target for policy initiatives.
Peter C Smith   +4 more
core  

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

The demand for private health insurance: do waiting lists or waiting times matter? CHERE Working Paper 2010/8 [PDF]

open access: yes
Besley, Hall, and Preston (1999) estimated a model of the demand for private health insurance in Britain as a function of regional waiting lists and found that increases in the number of people waiting for more than 12 months (the long-term waiting list)
Elizabeth Savage   +4 more
core  

Economic Models for Industrial Waiting Line Problems

open access: yes
Studies of industrial waiting line problems typically involve determining the proper balance between the amount of service and the amount of waiting for that service. This paper presents some basic results for the case where the study is to be based upon
Frederick S. Hillier
core   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

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