Communications

The dataset corresponding to the measurements performed in the article "Freehand System for Probe-Fed Antenna Diagnostics by Means of Amplitude-Only Acquisitions" is provided. In this work, a freehand acquisition system is used to characterize an integrated antenna fed by a GSG probe by means of amplitude-only measurements, with phase retrieval based on an indirect holography technique for broadband antennas. Spatial filtering and time-gating techniques are applied to eliminate the effect of the feeding probe.

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The researchers have conducted a strict and complete spectrum measurement from December 2006 to July 2007 at two locations in Aachen, Germany, and one location in Maastricht, Netherlands. The measured bands ranges from 20MHz to 6GHz and are composed of four subbands of each1.5GHz bandwidth. A resolution bandwidth of 200 kHz is chosen as a compromise between frequency resolution and the maximum supported span. So, each subband of 1.5GHz bandwidth includes 8192 measurement points, which will cause a small overlap between adjacent measurement channels.

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The necessity for strong security measures to fend off cyberattacks has increased due to the growing use of Industrial Internet of Things (IIoT) technologies. This research introduces IoTForge Pro, a comprehensive security testbed designed to generate a diverse and extensive intrusion dataset for IIoT environments. The testbed simulates various IIoT scenarios, incorporating network topologies and communication protocols to create realistic attack vectors and normal traffic patterns.

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The given data contains the results from laboratory trials related to the paper "Optimizing Congestion Management andEnhancing Resilience in Low-Voltage Grids Using OPF and MPC Control Algorithms Through Edge Computing and IEC 61850 Standards" currently in publication in IEEE Access.

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This dataset is in support of my research claim and presentation. Make sure you have read Caution. Make sure you have read LegalDisclosureStatement, as some later accuse of hiding.

 I. Research/ Presentation Title *:

(For Free download, pls. click on title)

* The submitted work will be used in my future presentations or future research paper, with same or different titles.

Videos uploaded on YouTube  are 

 

II.   Model

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194 Views

The integration of uncrewed aerial vehicles (UAVs)

with fifth-generation (5G) cellular networks has been a prominent

research focus in recent years and continues to attract significant

interest in the context of sixth-generation (6G) wireless networks.

UAVs can serve as aerial wireless platforms to provide on-demand

coverage, mobile edge computing, and enhanced sensing and

communication services. However, UAV-assisted networks present

new opportunities and challenges due to the inherent size, weight,

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154 Views

In this paper, a dual-ring sub-cavity erbium-doped random fiber laser (RFL) with strong random feedback distribution is proposed and experimentally investigated, utilizing erbium-doped fiber (EDF) for gain amplification and two segments of 10 km single-mode optical fibers (SMFs) for random feedback.

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In our ever-expanding world of advanced satellite and communications systems, there's a growing challenge for passive radiometer sensors used in the Earth observation like 5G. These passive sensors are challenged by risks from radio frequency interference (RFI) caused by anthropogenic signals. To address this, we urgently need effective methods to quantify the impacts of 5G on Earth observing radiometers. Unfortunately, the lack of substantial datasets in the radio frequency (RF) domain, especially for active/passive coexistence, hinders progress.

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This dataset contains LTE access signals (PRACH) emitted by 7 mobile phones and 1 USRP B205 software defined radio platform equipment. Files are stored in MAT form that can be read by MATLAB. The dataset of the mobile phone includes data from 3 different locations (\dif_loc), 3 different test times (\dif_date), and 3 different power-on times (\dif_working). The software defined radio platform equipment dataset consists of 3 datasets at different locations and 3 different test times.

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