Ping reponse times from google.com

Bluetooth communication is widely adopted in IoMT devices due to its various benefits. Nevertheless, because of its simplicity as a personal wireless communication protocol, Bluetooth lacks the security mechanisms which may result in devastating outcomes for patients treated using wireless medical devices.

We develop a potential biomarker to subdivide the stress groups into eustress and distress groups using hemodynamic responses of functional near-infrared spectroscopy (fNIRS). We stimulate two stress groups divided by saliva alpha-amylase (sAA) with an international affective picture system (IAPS) inducing positive or negative emotions and measure hemodynamic responses at the same time. As a result, we have developed a newly designed biomarker using fNIRS.

The provided dataset is obtained by crawling through various websites to identify all the possible webpages that which can be used to determine to what degree they are exposed to attacks. 

In this work, physical parameter‐based modeling of small signal parameters for a metal‐semiconductor field‐effect transistor (MESFET) has been carried out as continuous functions of drain voltage, gate voltage, frequency, and gate width. For this purpose, a device simulator has been used to generate a big dataset of which the physical device parameters included material type, doping concentration and profile, contact type, gate length, gate width, and work function.

Description:

This repository contains the datasets used as part of the OC2 lab's work on Student Performance prediction and student engagement prediction in eLearning environments using machine learning methods.

A criticality analysis dataset of the phenomenon occlusion on a T-intersection. Simulation was done using CARLA.

This repository includes the data collected from the aocl profile and the Jupyter notebooks with the memory model equations proposed. Application folder contains a set of benchmarks to validate the proposed model.

The model was developed using the Quartus aocl version 18.1 for Stratix10 GX and 19.4 for Stratix10MX

These datasets contain bulk BTE simulation results for GaAs, InP, GaSb and InAs as a function of electric field at 300 K.

This dataset is composed of side channel information (e.g., temperatures, voltages, utilization rates) from computing systems executing benign and malicious code.  The intent of the dataset is to allow aritificial intelligence tools to be applied to malware detection using side channel information.