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ShareScore release 0.9.0
Dataset results
9 results for “Smart Maintenance”
Development, Education, and Implementation of a Low-Cost Audio Sensor-based Autonomous Surveillance System for Smart and Connected Transportation Infrastructure Construction and Maintenance
<p>Each DOT has to govern and oversee an enormous number of transportation construction and maintenance projects. However, since a transportation construction project entails several miles of a job site including numerous work tasks and equipment operations, it has been increasingly challenging for each DOT to consistently monitor progress of all projects in each State as well as efficiently evaluate work performance. In particular, with limited human resources and time, DOTs in Region 6 States have managed large-scale transportation construction and maintenance projects by a human inspection and recovered direct and indirect damages of transportation infrastructure systems caused from the recent natural disasters. In this demanding situation, DOT practitioners and project managers have long recognized the importance of automated monitoring and surveillance of transportation construction and maintenance processes that helps consistently track work progress and take immediate remedial action. As one promising supplement for site monitoring and human inspection, this project proposes a new approach for low-cost audio sensor-based autonomous site and safety surveillance of transportation construction and maintenance, which allows for faster, more convenient, and more accurate work zone monitoring. The proposed innovation using the sound-based site and safety monitoring framework possesses several competitive advantages over traditional site management and existing vision-based work monitoring methods, which not only sounds can be easily recognized and instantly analyzed by diverse sound sensors. In addition, this sound-based monitoring approach supports an unlimited range of monitoring angles and illumination levels with lightweight data processing and comparatively quick analytics. To achieve these goals, this study developed a low-cost wearable audio-sensor for automated work zone monitoring and real-time activity log generation. This new intelligent site and safety surveillance system is expected to support real-time monitoring of construction progress, evaluation of task performance, and rapid identification of safety issues in transportation construction and maintenance projects.</p>
DT-MAS architecture for smart maintenance of aircraft fuel distribution systems
<p><strong>Project Goal:</strong> Develop a digital twin architecture using a multi-agent system and AI for smart maintenance of aircraft distribution systems.</p> <p><strong>Objective:</strong> Build a reliable model that accurately represents the real system in an offline environment.</p> <p><strong>Methodology : </strong></p> <ul> <li>Developed a simulation based on an aircraft distribution system model, mimicking real system behavior.</li> <li>Created a dataset with four runs, five scenarios per run, and five operating points per scenario.</li> <li>Simulated healthy and faulty conditions using MATLAB-injected faults across various categories.</li> <li>Focused on four system components: hydraulic pump, tanks, engines, and pumps.</li> <li>Generated data for 11 healthy and faulty scenarios, including six fault types: <ul> <li>Noise on instruments</li> <li>Abnormal instrument readings</li> <li>Minor service problems</li> <li>External leakage</li> <li>Parameter deviation</li> <li>Structural deficiency</li> </ul> </li> <li>Features used for analysis: <ul> <li>Pump flow for pumps</li> <li>Pump motor speed for hydraulic pumps</li> <li>Driver power</li> <li>Tank volume and temperature</li> </ul> </li> </ul> <p><strong>Expected Results:</strong></p> <ul> <li>Compare performance of different asset health estimation models.</li> <li>Develop new predictive maintenance strategies.</li> <li>Predict and emulate complex aircraft behavior through multi-agent systems and AI.</li> </ul>
Smart-phone Health Coaching Intervention to Promote Maintenance of Exercise in Breast Cancer Survivors:Protocol
ClinicalTrials.gov study NCT02620735. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Quiescence modulates stem cell maintenance and regenerative capacity in the aging brain – SMART-seq2
GEO Series GSE115622. Mus musculus. 168 samples. Type: Expression profiling by high throughput sequencing.
Non-interventional Surveillance of Effectiveness of Symbicort® Maintenance And Reliever Therapy (Symbicort® SMART) in the Treatment of Moderate and Severe Asthma
ClinicalTrials.gov study NCT00573222. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Follow-up Survey to Compare Stable Dosing (SERETIDE) With SYMBICORT, SMART, Maintenance and Reliever Therapy in One Inhaler in Moderate and Severe Asthmatics.
ClinicalTrials.gov study NCT00858286. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Symbicort SMART (Symbicort Maintenance And Reliever Therapy)
ClinicalTrials.gov study NCT00523679. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cost-effectiveness Study of Symbicort as Maintenance and Reliever Therapy (SMART)
ClinicalTrials.gov study NCT00937066. IPD Sharing: Not stated. Countries: 1. Publications: 0.
RORα is required for expansion and memory maintenance of ILC1s via a lymphnode-liver axis [Smart-seq]
GEO Series GSE248316. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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