edge computing

TinyHLS, a Python-based Hardware Compiler for 1D and 2D Convolutional Neural Networks

TinyHLS is a Python-based hardware compiler that automatically generates hardware accelerators in the form of hardware description language (HDL) code for Convolutional Neural Networks (CNNs). The description of the CNN architecture as well as the training is done in advance using Python TensorFlow Keras. TinyHLS reduc...

Reproducibility package — Source-Code Analysis of iFogSim for Simulating Distributed IoT Architectures

Simulation is an indispensable tool for validating distributed IoT architectures before physical deployment, and iFogSim has emerged as one of the most widely adopted platform in the fog and edge computing research community. Yet the experience of using iFogSim for non-canonical, application-specific architectures rema...

Improved Conservative Scheme for Lenard‐Bernstein Collisions in Gyrokinetic Turbulence Simulations

Turbulence in the edge and scrape‐off layer regions plays a critical role for the performance of future magnetic confinement fusion power plants. Gyrokinetic simulations allow studying this regime with high fidelity. A key aspect in these regions is the high concentration of impurities, which can radiate energy, lead...

Bursty workload-adaptive scheduling with data protections for industrial cloud–edge collaboration

The Zero-Knowledge random range proof based scheduling data protection algorithm (ZKRRP-SDPA) is introduced, which employs an enhanced zero-knowledge range proof for real-valued ranges together with digital signatures, guaranteeing the security of node attribute data against any adversary except the node itself.

Gray Langurs Optimizer-Optimized Feature Mode Decomposition for Adaptive Denoising of Multi-Source Monitoring Data from Floating Offshore Wind Turbines

Feature Mode Decomposition (FMD) adaptively decomposes signals into band-limited modes through an adaptive finite impulse response (FIR) filter bank optimized via correlated kurtosis (CK) maximization, yet its denoising performance is highly sensitive to four hyperparameters—the number of decomposition modes nm, the fi...

Cooperative Computation for Multiuser Task Offloading in Wireless-Powered MEC Systems

The numerical results show that the proposed joint computing-and-relaying scheme consistently outperforms computing-only, relaying-only, and dedicated-helper cooperation.

Reconfigurable terahertz spatial differentiation via incident angle tuned beam shifts on a Bi2Te3 platform

Optical spatial differentiation offers an ultrafast, low-power route to edge detection by directly processing the optical field and can address the inherent diffraction-limited blurring of terahertz (THz) imaging. However, existing THz edge detection schemes face persistent bottlenecks. Metasurfaces and diffractive dev...

Quantum phenomenology from a classical integer automaton: an emergent Schrödinger sector, exact exchange statistics, CHSH violation without randomness, foliation-independent Bell statistics, a selection-rule theorem for ensemble entanglement, a stimulated parametric pair channel with a capacity wall, a surviving isotropy no-go, two engine-measured forced rationals, and obstruction theorems for dynamic geometry

What this is. A single bit-exactly reversible, integer-valued lattice automaton in which a broad range of quantum phenomenology arises as measurable, checksum-reproducible behaviour. Evolution is a permutation of integer microstates, not approximate numerical integration — which is why the gates below can be bit-exact...

Deviation-aware digital twin-enabled joint user association and task partitioning for industrial IoT offloading

Latency-critical industrial Internet of Things (IIoT) applications outstrip on-device computing capability, yet digital twin (DT)-assisted multi-access edge computing (MEC) is typically modeled as a perfectly synchronized mirror and treats edge association and task partitioning separately. This paper proposes a deviati...

Understanding Photon-Counting CT: Physics, Detector Technology, and Image Reconstructions

Photon-counting computed tomography (PCCT) represents a detector-level transformation in CT imaging. Unlike conventional energy-integrating detectors, photon-counting detectors directly convert individual X-ray interactions into electrical pulses and classify them according to energy. This architecture enables electron...

Quantum phenomenology from a classical integer automaton: an emergent Schrödinger sector, exact exchange statistics, CHSH violation without randomness, foliation-independent Bell statistics, a selection-rule theorem for ensemble entanglement, a stimulated parametric pair channel with a capacity wall, a surviving isotropy no-go, two engine-measured forced rationals, and obstruction theorems for dynamic geometry

What this is. A single bit-exactly reversible, integer-valued lattice automaton in which a broad range of quantum phenomenology arises as measurable, checksum-reproducible behaviour. Evolution is a permutation of integer microstates, not approximate numerical integration — which is why the gates below can be bit-exact...

CReIS: Computation Reuse through image similarity in ICN-based edge computing