تصفح Faculty Contributions حسب الموضوع "Data handling"
السجلات المعروضة 1 -- 10 من 10
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Cloud of things for sensing as a service: sensing resource discovery and virtualization
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)We propose Cloud of Things for Sensing as a Service: a global architecture that scales up cloud computing by exploiting the global sensing resources of the highly dynamic and growing Internet of Things (IoT) to enable ... -
Derivative-driven window-based regression method for gas turbine performance prognostics
( Elsevier Ltd , 2017 , Article)The domination of gas turbines in the energy arena is facing many challenges from environmental regulations and the plethora of renewable energy sources. The gas turbine has to operate under demand-driven modes and its ... -
Embedded gateway services for Internet of Things applications in ubiquitous healthcare
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)The continuous advancement in computer and communication technologies has made personalized healthcare monitoring a rapidly growing area of interest. New features and services are envisaged, raising users' expectations in ... -
Introducing data-centric engineering to instrumented infrastructure
( ICE Publishing , 2019 , Conference Paper)A variety of methods exist in the structural health monitoring literature that aim to combine the observed data and predicted outputs from physics-based models (e.g. model updating and calibration). Typically implemented ... -
LocationSpark: A distributed in-memory data management system for big spatial data
( VLDB Endowment , 2015 , Conference Paper)We present LocationSpark, a spatial data processing system built on top of Apache Spark, a widely used distributed data processing system. LocationSpark offers a rich set of spatial query operators, e.g., range search, ... -
On the Investigation of Monthly River Flow Generation Complexity Using the Applicability of Machine Learning Models
( Hindawi Limited , 2021 , Article)Streamflow is associated with several sources on nonstationaries and hence developing machine learning (ML) models is always the motive to provide a reliable methodology to understand the actual mechanism of streamflow. ... -
Processing geo-dispersed big data in an advanced mapreduce framework
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)Big data has emerged as a new era of information generation and processing. Big data applications are expected to provide a lot of benefits and convenience to our lives. Cloud computing is a popular infrastructure that has ... -
Sensor fault detection and isolation of an autonomous underwater vehicle using partial kernel PCA
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation (FDI) of an autonomous underwater vehicle (AUV). Principal component analysis (PCA) is an effective ... -
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
( 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015 , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ... -
The use of principle component analysis and MALDI-TOF MS for the differentiation of mineral forming: Virgibacillus and Bacillus species isolated from sabkhas
( Royal Society of Chemistry , 2020 , Article)Occurrence of mineral forming and other bacteria in mats is well demonstrated. However, their high diversity shown by ribotyping has not been explained, although it could explain the diversity of formed minerals. Common ...