المؤلفون: John Pearse, Brian Donohue

المصدر: Applied Acoustics. 182:108169

مصطلحات موضوعية: Warm front, Noise, Acoustics and Ultrasonics, Computer science, Rotor (electric), law, Broadband noise, Acoustics, Flow (psychology), Frost, Broadband, Tower, law.invention

الوصف: Wind machines are commonly used in vineyards in New Zealand during a radiation frost to draw warm air from above a crop and blow it over the crop to prevent frost damage. The primary source of noise produced by the wind machine has been identified as being aero-acoustic noise from the rotor. This paper describes a theoretical method for predicting both the broadband and tonal rotor noise. An empirical model that accounts for the effects of different blade tip geometries is derived from an experimental investigation and is combined with previously developed empirical methods to predict the broadband noise of the rotors. Several purely theoretical models are developed and used to predict the tone noise which is produced by rotating steady loading and thickness sources on the rotor blades as well as the interaction of the blades with the flow disturbance caused by the tower. The model is validated against measurements. As the method can calculate the noise level produced by a wind machine rotor very quickly, it is well suited for use in an optimization method where many different rotor designs are evaluated.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::f432aefe89c5833e148b4107a30fd605Test
https://doi.org/10.1016/j.apacoust.2021.108169Test

المؤلفون: Brian Donohue, Alexander P. Cox, Ron Rudnicki, Mark Jensen

المصدر: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX.

مصطلحات موضوعية: Situation awareness, Human–computer interaction, Computer science, Ontology (information science), Common core, Domain (software engineering)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::a71509bc6cfaa423555a5c8abb0cf128Test
https://doi.org/10.1117/12.2307719Test

المؤلفون: Mark Jensen, Alexander P. Cox, Ron Rudnicki, Brian Donohue

المصدر: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX.

مصطلحات موضوعية: Lossless compression, Computer science, Data exchange, Data mining, NoSQL, computer.software_genre, Data structure, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::de9ae2c5f904dd66653119cdf290032eTest
https://doi.org/10.1117/12.2307717Test

المؤلفون: Mark Jensen, Alexander P. Cox, Ron Rudnicki, Brian Donohue

المصدر: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX.

مصطلحات موضوعية: Relation (database), Computer science, business.industry, Artifact (software development), Ontology (information science), Semantic interoperability, Asset (computer security), computer.software_genre, Semantics, Data science, Analytics, business, computer, Data integration

الوصف: Integrating data about plans and artifact specifications with data about the actual instances of the entities prescribed by these provides numerous benefits for tasks such as mission planning, sensor assignment, and asset tasking. However, doing so raises several issues for data ingest, storage and analytics if a consistent semantics is to be maintained to enable extensible and unanticipated querying. In this paper, we examine strategies for overcoming these challenges and describe a method for using the Common Core Ontologies and Modal Relation Ontology to map and integrate data about planned and existing entities. We demonstrate a solution for ensuring reliable, dynamic and extensible data queries suitable for highly heterogeneous data sources that is agnostic to implementation requirements. We focus on examples relevant to sensor capabilities, selection and tasking.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::6d78593b829d6e89eef56ca4aea0f1a3Test
https://doi.org/10.1117/12.2307718Test