A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
A carbon‐free, as‐sintered MgO–steel cermet anode, fabricated via cold isostatic pressing using MgO–C refractory recyclate, was evaluated under laboratory‐scale K‐cryolite electrolysis at 800°C. Operation at this reduced temperature, combined with the electrolyte's limited electrical conductivity, led to an increase in cell voltage.
Farhan Hossain +7 more
wiley +1 more source
Hardware for Deep Learning Acceleration
Deep learning (DL) has proven to be one of the most pivotal components of machine learning given its notable performance in a variety of application domains.
Choongseok Song +3 more
doaj +1 more source
High Performance Direct Gravitational N-body Simulations on Graphics Processing Units [PDF]
We present the results of gravitational direct $N$-body simulations using the commercial graphics processing units (GPU) NVIDIA Quadro FX1400 and GeForce 8800GTX, and compare the results with GRAPE-6Af special purpose hardware.
Belleman, Robert +2 more
core +6 more sources
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Approximate CNN Hardware Accelerators for Resource Constrained Devices
Implementation of Convolutional Neural Networks (CNNs) on edge devices require reduction in computational complexity. Leveraging optimization techniques or approximate computing techniques can reduce the overhead associated with hardware implementation ...
P Thejaswini +3 more
doaj +1 more source
A Morphological Associative Memory Employing A Stored Pattern Independent Kernel Image and Its Hardware Model [PDF]
An associative memory provides a convenient way for pattern retrieval and restoration, which has an important role for handling data distorted with noise.
Harada, Hidetaka +2 more
core
Compiling Geometric Algebra Computations into Reconfigurable Hardware Accelerators [PDF]
Geometric Algebra (GA), a generalization of quaternions and complex numbers, is a very powerful framework for intuitively expressing and manipulating the complex geometric relationships common to engineering problems.
+4 more
core +1 more source
Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May +9 more
wiley +1 more source
Hardware acceleration for next-to-leading order event generation within MadGraph5_aMC@NLO [PDF]
As the quality of experimental measurements increases, so does the need for Monte Carlo-generated simulated events — both with respect to the total amount and to their precision.
Wettersten Zenny +4 more
doaj +1 more source

