Results 51 to 60 of about 186,586 (268)
Predicting changes in osmolality
Two neural circuits control the release of vasopressin in response to eating and drinking before there are any detectable changes in blood water levels.
Zhe Yang, Tongtong Wang, Yuki Oka
doaj +1 more source
Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang +14 more
wiley +1 more source
A Second-Order Single Loop Oversampling Analog-to-Digital Converter (ADC) with Proposed Hybrid Feedforward/Feedback Architecture [PDF]
This paper proposes hybrid architecture of feedforward/feedback second order single-loop modulator for high resolution analog-to-digital converter (ADC) applications. Different techniques for oversampling modulator are discussed.
Hasan M. Azzawi
doaj +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Near-Optimal Control for Offshore Structures with Nonlinear Energy Sink Mechanisms
To improve the safety and reliability of offshore structures subject to wave loading, the active vibration control problem is always one of significant issues in the field of ocean engineering.
Wei Chen +4 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Predicted evaporation in Basrah using artificial neural networks
Accurate evaporation estimation is crucial for managing hydrologic, hydraulic, and agricultural systems, among many other applications of water resources. Empirical formulae for estimating evaporation exist, but their performance is not always sufficient
Hamza Zuhal Abdul Hadi
doaj +1 more source
The Successful Prediction of Waterflooding Using a Feed-Forward Algorithm
Waterflooding is one of the most frequently used Enhanced Oil Recovery (EOR) methods to increase oil recovery because it can increase 30% -60% of total production.
Qunazatul Shima Batubara*, Tomi Erfando
doaj +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Energy Saving in Ship Central Cooling Systems: IMC-Tuned PID with Feedforward Control
This study examines the energy savings in a ship’s central cooling system using feedforward control with IMC (Internal Model Control)-based PID tuning.
Tae-Youl Jeon, Young-Chan Lee
doaj +1 more source

