Radio Frequency Measurements for Selected Manufacturing and Industrial Environments using a PN Code Sounding methodology. The resulting measurements include complex impulse responses and spectrum analysis traces. Complex impulse responses were validated using both ray tracing and an outdoor two-ray reference facility. This data is meant to serve as a reference of how radio waves at 2.4 GHz and 5 GHz propagate in industrial environments.

Cyber-physical systems are systems governed by the laws of physics that are tightly controlled by computer-based algorithms and network-based sensing and actuation. Wireless communication technology is envisioned to play a primary role in conducting the information flows within such systems. A practical industrial wireless use case involving a robot manipulator control system, an integrated wireless force-torque sensor, and a remote vision-based observer is constructed and the performance of the cyber-physical system is examined. The resulting data from the experiments conducted are included in the dataset.

This computer code contains the Tennessee Eastman (TESIM) chemical process model to be simulated using hardware-based simulation approaches. The code is optimized for wireless system integration as a part of the NIST Industrial Wireless project. This code allows for integration with external sensor and actuator equipment and the evaluation of operational performance under different wireless scenarios. Disclaimer: Certain commercial equipment, instruments, or materials are identified in this paper in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

This data is associated with the manuscript titled Radio-Frequency Fingerprinting Millimeter-Wave Commercial Off-the-Shelf Cellular User Equipment. The abstract of this manuscript is: We present a measurement test bed and algorithm for non-destructive, millimeter wave over-the-air fingerprinting of commercial off-the-shelf cellular user equipment (UE) at the model level. This test bed has been configured to repeatably collect radiated fields from UEs in a 5G mmWave scenario. We evaluate the performance of a classification algorithm that uses linear discriminant analysis on two types of measured waveforms from cellular user equipment under test. One of the waveforms is the user equipment transmitted symbol constellation vector, which is complex-valued. The classification algorithm uses the symbol constellation waveforms collected from the UEs to generate a unique fingerprint of the test UE. The other waveform is the filtered uplink spectrum waveform from the UEs. We evaluate the performance of our test bed and algorithm by analyzing the temporal stability of the data sets for the purposes of fingerprinting and quantifying the classification performance of the test bed and algorithm.

This data is associated with the manuscript titled Radio-Frequency Fingerprinting Millimeter-Wave Commercial Off-the-Shelf Cellular User Equipment. The abstract of this manuscript is: We present a measurement test bed and algorithm for non-destructive, millimeter wave over-the-air fingerprinting of commercial off-the-shelf cellular user equipment (UE) at the model level. This test bed has been configured to repeatably collect radiated fields from UEs in a 5G mmWave scenario. We evaluate the performance of a classification algorithm that uses linear discriminant analysis on two types of measured waveforms from cellular user equipment under test. One of the waveforms is the user equipment transmitted symbol constellation vector, which is complex-valued. The classification algorithm uses the symbol constellation waveforms collected from the UEs to generate a unique fingerprint of the test UE. The other waveform is the filtered uplink spectrum waveform from the UEs. We evaluate the performance of our test bed and algorithm by analyzing the temporal stability of the data sets for the purposes of fingerprinting and quantifying the classification performance of the test bed and algorithm.

방송통신기자재등의 시험기관이 시험할 수 있는 시험분야 시험항목 상세 내역입니다, 국내 지정시험기관과 MRA 시험기관 포함입니다.

Wireless technology is a key enabler of the vision of the future factory work-cell. Such work-cell will operate autonomously with a high degree of mobility enabled by wireless technology. This model describes the work-cell using the Systems Modeling Language (SysML). Using SysML the structural and parametric characteristics of the work-cell are described. Our model provides the architectural components and performance constraints of the work-cell in which wireless is used for a significant portion of connectivity. It identifies the structural components, interfaces, and data flows. Parametric characteristics that impact work-cell performance are included in the model. Using this model, industrial wireless networking requirements and work-cell behaviors may be developed and performance limits may be evaluated. Note: This dataset is stored in MagicDraw XML format. To open the XML file, MagicDraw 18.4 or higher with the SysML plugin is required. An HTML report is included. To view the HTML report, and browser that supports ActiveX is required.