edge computing

SafeSpeaker: Voice Obfuscation for Resource-Constrained IoT Devices

Embodied voice assistants offer an intuitive and powerful interaction modality, but they also pose significant privacy-leakage risks when uploading raw voice recordings to the cloud for processing. These voice recordings contain a wealth of private information beyond just spoken content, such as acoustic features that...

Integrating CLAHE and H-MHI with CNN for prompt recognition in children with a diagnosis of autism

Individualized therapeutic prompts such as physical, gestural, or verbal cues are necessary to enable children diagnosed with autism to become independent in daily activities. However, the automated detection of the prompts in naturalistic conditions is difficult. The solutions currently proposed also have difficulty w...

ntpstats: NTP clock-offset and time-stability analysis toolkit

Added Power-law noise model (#25): ntpstats noise and ntpstats.noisefit fit h₂…h₋₂ and, optionally, a linear drift to OADEV/MDEV/HDEV curves and the spectrum. The expected estimator values are exact for the discrete Kasdin–Walter model. Model selection uses BIC. Intervals come from a parametric bootstrap. Monte Carlo c...

ntpstats: NTP clock-offset and time-stability analysis toolkit

Added Power-law noise model (#25): ntpstats noise and ntpstats.noisefit fit h₂…h₋₂ and, optionally, a linear drift to OADEV/MDEV/HDEV curves and the spectrum. The expected estimator values are exact for the discrete Kasdin–Walter model. Model selection uses BIC. Intervals come from a parametric bootstrap. Monte Carlo c...

XPPFEL

Intelligent decision-making for autonomous flying drones and vehicles requires real-time processing capabilities, while at the same time protecting the privacy of collected data, reducing latency, and guaranteeing effective communication. Centralized machine learning frameworks not only leak sensitive data but also res...

Data of all figures and codes employed to generate the theoretical data of "Anomalous diffusion and localization in a disorder-free atomic mixture".

Codes for the semiclassical simulations (solid lines in Figs. 2 and 3): 1) SemiClassicalSimulator.py2) SCSim_header.pyCode to evaluate the quantum diffusion constant (colormap in Fig 4d): DiffusionFromReturnProb.nbCodes for calculation of the mobility edge (white points in Fig. 4d): 1. grscalar.f: Computes eigenvalues...

Measuring Refractive Index Using Raspberry Pi

The refractive index is a fundamental optical property characteristic of every substance, serving as a distinct identifier that varies predictably as a function of the operational wavelength of light. In traditional experimental physics, measuring this parameter typically relies on manual optical instruments and mechan...

Measuring Refractive Index Using Raspberry Pi

The refractive index is a fundamental optical property characteristic of every substance, serving as a distinct identifier that varies predictably as a function of the operational wavelength of light. In traditional experimental physics, measuring this parameter typically relies on manual optical instruments and mechan...

Review of bearing fault diagnosis based on neural networks

Bearings are critical components in rotating machinery, and their condition directly determines the operational efficiency and safety of industrial equipment. Traditional bearing fault diagnosis methods rely heavily on manual feature extraction, making it difficult to deal with complex industrial scenarios such as stro...

Bibliometric Analysis and Co-word Mapping: The Field of Knowledge Graphs

Purpose: The rapid expansion of research in the field of Knowledge Graphs (KGs) over the past decade has positioned The field as a dynamic area at the intersection of computer science, artificial intelligence. Following Google’s introduction of the KG in 2012, scholars and industry stakeholders have increasingly explor...

Popularity-predictive two-timescale joint model caching, task offloading, and resource allocation for mobile edge computing

UAV-Assisted Resource Optimization for Priority-Aware and Trustworthy Services

The rapid expansion of Internet of things (IoT) devices generates increasing service demands that require reliable computation in regions with limited fixed infrastructure. Uncrewed aerial vehicle (UAV)-based mobile edge computing (MEC) systems provide a flexible solution by relocating computational resources close to...