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1,048 results for “Performance evaluation”
Metrics for Evaluating Performance of Prognostics Techniques
Prognostics is an emerging concept in condition based maintenance (CBM) of critical systems. Along with developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the technology calls for fielded applications as it inches towards maturation. This requires a stringent performance evaluation so that the significance of the concept can be fully exploited. Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. This lack of standards is in part due to the varied end-user requirements for different applications, time scales, available information, domain dynamics, etc. to name a few issues. Instead, the research community has used a variety of metrics based largely on convenience with respect to their respective requirements. Very little attention has been focused on establishing a common ground to compare different efforts. This paper surveys the metrics that are already used for prognostics in a variety of domains including medicine, nuclear, automotive, aerospace, and electronics. It also considers other domains that involve prediction-related tasks, such as weather and finance. Differences and similarities between these domains and health maintenance have been analyzed to help understand what performance evaluation methods may or may not be borrowed. Further, these metrics have been categorized in several ways that may be useful in deciding upon a suitable subset for a specific application. Some important prognostic concepts have been defined using a notational framework that enables interpretation of different metrics coherently. Last, but not the least, a list of metrics has been suggested to assess critical aspects of RUL predictions before they are fielded in real applications.
Metrics for Evaluating Performance of Prognostic Techniques
Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the technology calls for fielded applications as it inches towards maturation. This requires a stringent performance evaluation so that the significance of the concept can be fully exploited. Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. This lack of standards is in part due to the varied end-user requirements for different applications, time scales, available information, domain dynamics, etc. to name a few issues. Instead, the research community has used a variety of metrics based largely on convenience with respect to their respective requirements. Very little attention has been focused on establishing a common ground to compare different efforts. This paper surveys the metrics that are already used for prognostics in a variety of domains including medicine, nuclear, automotive, aerospace, and electronics. It also considers other domains that involve prediction-related tasks, such as weather and finance. Differences and similarities between these domains and health maintenancehave been analyzed to help understand what performance evaluation methods may or may not be borrowed. Further, these metrics have been categorized in several ways that may be useful in deciding upon a suitable subset for a specific application. Some important prognostic concepts have been defined using a notational framework that enables interpretation of different metrics coherently. Last, but not the least, a list of metrics has been suggested to assess critical aspects of RUL predictions before they are fielded in real applications.
Prognostics Performance Evaluation
This is the first version of the performance evaluation tool. Evaluation is based on point estimates of the RUL predictions. a more detailed documentation will be available with the tool soon. in the meantime, please download the attached files/folder in the same root folder to run a demo. To evaluate your own results create results & application data files in .mat format and save in the results folder. please make sure you name your files as xxx_results.mat for results and yyy_appData.mat for application data.
Performance Evaluation of Single Board Computer based Hadoop Clusters
<p>This data sets comprises of various test runs on three Hadoop cluster. The results include test runs from</p> <p>Netpipe</p> <p>Pi computation</p> <p>Hadoop word count</p> <p>DFSIO Read and Write</p> <p>Tera Gen </p> <p>Tera Validate</p> <p>Tera Sort</p> <p>HIPI Library</p>
SNIAPE: Sensor Network and IoT Application Performance Evaluation Benchmark
<p>This repository is currently anonymised for submission. It contains the code, data, questionnaire and the full report version of SNIAPE, which is a sensor network and IoT application performance evaluation benchmark</p>
Dataset for the Study: Performance evaluation of a novel solar desalination system under continuous operation for freshwater recovery
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Dataset - "Performance evaluation of the 3D-ring Cadmium-Zinc-Telluride (CZT) StarGuide system according to the NEMA NU-1 2018 standard"
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Evaluation of the Performance of Supercapacitors Composed of Twin and Non-Twin Graphene and Graphyne Electrodes
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ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.