131,022 research outputs found
A telemetry antenna system for unmanned air vehicles
This paper presents a low VSWR high gain telemetry antenna system manufactured for UAVs that provides 360± coverage in the roll plane of the UAV. Proposed telemetry antenna system includes four telemetry antennas, one power divider that has one input and four output terminals which feeds the telemetry antennas with equal magnitude and phase. Proposed high gain telemetry antennas are based on the feeding of the microstrip patch antenna via aperture coupling. Full coverage in the roll plane of the UAV is obtained by using circular array configuration of telemetry antennas. RF power divider is designed by using couple of Wilkinson power dividers with equal line lengths and impedance sections from input terminal to the all four output terminals
DSN acquisition of Magellan high-rate telemetry data
The Magellan Project levied the stringent requirement of a 98 percent high-rate telemetry data capture rate on the Deep Space Network (DSN) during the Magellan Prime Mapping Mission. To meet this requirement, the DSN undertook extensive development of the DSN Telemetry System, as well as extensive DSN operation planning and test and training. In actuality, the DSN substantially exceeded the requirement by achieving a Prime Mapping Mission high-rate telemetry data capture rate of 99.14 percent. This article details the DSN telemetry system development, and DSN operations planning and test and training. In addition, the actual high-rate telemetry data outages are comprehensively presented and analyzed
Detection of Fog Network Data Telemetry Using Data Plane Programming
Fog computing has been introduced to deliver Cloud-based services to the Internet of Things (IoT) devices. It locates geographically closer to IoT devices than Cloud networks and aims at offering latency-critical computation and storage to end-user applications. To leverage Fog computing for computational offloading from end-users, it is important to optimize resources in the Fog nodes dynamically. Provisioning requires knowledge of the current network state, thus, monitoring mechanisms play a significant role to conduct resource management in the network. To keep track of the state of devices, we use P4, a data-plane programming language, to describe data-plane abstraction of Fog network devices and collect telemetry without the intervention of the control plane or adding a big amount of overhead. In this paper, we propose a software-defined architecture with a programmable data plane for data telemetry detection that can be integrated into Fog network resource management. After the implementation of detecting data telemetry based on In-Band Network Telemetry (INT) within a Mininet simulation, we show the available features and preliminary Fog resource management based on the collected data telemetry and future telemetry-based traffic engineering possibilities
An Updated Rounds Checklist to Increase Appropriate Use of Telemetry Monitoring
Background: Telemetry monitoring is an essential tool to monitor cardiac electrical activity. Its overuse is costly in time and resources and leads to subsequent testing and treatments that are not necessary for the patient and, in addition, healthcare staff is burdened with work that is potentially not clinically useful.
Aim: The global aim of increasing efficiency in telemetry use starts with the local improvement to facilitate nurse-physician communication of telemetry patients during
Methods: This study with pre and post data collection looked at the results of quantitative data, collected in May-July 2015, on the number of patients with telemetry and the corresponding clinical indication before and after implementation of a modified rounds checklist which included telemetry as a discussion point. The new checklist was initiated on June 22, 2015 and post intervention data was gathered to determine if there was a decrease in the overuse of and increase in the appropriate use of telemetry.
Results: With the implementation of the checklist the use of telemetry decreased, however the clinical indication for use did not improve.
Conclusion and implications for CNL practice: After the implementation of the checklist criteria there has been a consistent decrease in telemetry use. This may attributable to improve nurse-physician communication, however, there is still a lack of appropriate clinical indication of use and the CNL, as lateral integrator, in future improvement projects, should support further modifications to the clinical indication set to improve appropriateness of telemetry use
Accelerometer telemetry system
An accelerometer telemetry system incorporated in a finger ring is used for monitoring the motor responses of a subject. The system includes an accelerometer, battery, and transmitter and provides information to a remote receiver regarding hand movements of a subject wearing the ring, without the constraints of wires. Possible applications include the detection of fatigue from the hand movements of the wearer
Automatic telemetry checkout system
Telemetry checkout station is designed to automatically perform measurements on the vehicle telemetry. Its features include real-time digitizing and computer controlled station setup, data processing, and self-check. The station can handle a wide variety of automatic tests by changing its computer programs
The Use of Telemetry Monitoring Among General Medicine Patients
Objective:
To determine why and when general medicine non-ICU patients are upgraded from a non-telemetry level of care to telemetry monitoring at Thomas Jefferson University Hospital (TJUH). Comparison of the reasons for initiation of continuous ECG monitoring with the AHA and ACC guidelines would provide a greater understanding of the applicability of these recommendations to non-ICU general medicine patients. This information can provide guidance to identify areas of intervention to decrease inappropriate and/or overutilization of telemetry. The ultimate goal is to identify general medicine patients who are likely to benefit from continuous ECG monitoring, without negatively affecting clinical outcomes for those who do not receive cardiac monitoring.https://jdc.jefferson.edu/patientsafetyposters/1025/thumbnail.jp
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