Search Results - ((_ processing) OR (data processing))
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1
Implementation Of Bluetooth Baseband Controller Based On FPGA Design
Published 2017“…Since the data path of baseband controller is bidirectional, the data restoration process is the reversal process of packet processing. …”
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Monograph -
2
Measuring the performance of big data analytics process
Published 2019“…BDA involves data and tools for processing and analyzing, and the process which data is handled and managed. …”
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Process oriented data virtualization design model for business processes evaluation (PODVDM) research in progress
Published 2015“…The approach implements process-oriented data warehouse and mining techniques.However, the main issue is providing the right information at the right time to facilitate process evaluation that can be used for performance analysis and improve business process.Existing techniques have limitations, including huge data in database log files, performance of Process Warehouse (PW), which is highly dependent on specific design), complexity of PW design, lack of convergence between business processes and PW specifications, and the need for real data during process evaluation stage.Objects such as processes, storage, and data repositories can be virtualized to address these limitations.The main aim of this study is to propose a process-oriented data virtualization design model for process evaluation in BPM.The model will be validated through expert reviews and prototype development as well as through a case study.In this paper, we describe the research motivation, questions, approach, and methodology related to addressing the described limitations by designing a model for evaluation in business processes using the Data Virtualization technique.…”
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The effect of PDP to organizational processes and performance: a case study
Published 2020“…Data were collected through in-depth interviews from respondents who were involved in data collecting, data processing, and data controlling in their daily tasks.…”
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The impact of data quality dimensions on business process improvement
Published 2014“…Guaranteeing high data quality level is an important issue to increase the efficiency of the business processes. …”
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Parallel processing for data retrieval in ODOO enterprise resource planning reporting system / Roua Abdelmuniem Osman Alhag Eisa
Published 2021“…Report processing time increases while the number of data increases due to data retrieving from the relational database, where the more data are processed; the more time it needs to generate a report. …”
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7
Knowledge measures, data processes and data quality : an evaluation of mas’s finance support service division / Zarina Zulkifli
Published 2006“…The research was specifically focusing on data production processes and data quality performed by three roles within the data production processes, namely data collectors, data custodians and data consumers. …”
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Quality Control (QC) Process On Pipeline Engineering Geospatial Data
Published 2008“…The project is about quality control process on Pipeline Engineering Data for improvement in Pipeline Engineering. …”
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Final Year Project -
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Local and global measures for measuring performance of big data analytics process
Published 2019“…One pivotal aspect of big data is the process which handles it, mainly referred to as big data analytics (BDA) process. …”
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10
The Design of Pre-Processing Multidimensional Data Based on Component Analysis
Published 2011“…RapidMiner is used for data pre-processing using FastICA algorithm. Kernel K-mean is used to cluster the pre-processed data and Expectation Maximization (EM) is used to model. …”
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The reliability studies of terrestrial laser scanner for direct and indirect post-processing approaches for as-built plan / Amar Haikal Azman
Published 2021“…Both methods, however, have their own limitation where direct post-processing approaches require extensive experience and expertise in processing point cloud data. …”
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13
A new defuzzifying process of type-2 fuzzy data modeling
Published 2020“…Therefore, this new defuzzification process will give the crisp fuzzy result in which the type-reduction process is excluded from this processing. …”
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Proceedings -
14
Data pre-processing of website browsing record: An initial step for web page classification
Published 2021“…There are many steps in data pre-processing which include data cleaning and web content pre-processing. …”
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Assessment of Process Capability Using Weibull Analysis
Published 2011“…This study will use Weibull distribution to find a process capability on one set of production data. …”
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Final Year Project -
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Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data
Published 2025“…Fault detection and diagnosis (FDD) play a vital role in abnormal situation management of chemical industrial processes. Current FDD technologies mostly rely on data-driven solutions by making full use of abundant process data collected by the state-of-the-art distributed process instruments and sensors. …”
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Prioritized EWMA control chart for time-sensitive process
Published 2020“…This research outlines the exponentially weighted moving average(EWMA)control charts that are applied on time series data of a dairy distribution process. Different data are simulated from the AR, MA, and ARMA processes. …”
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IT asset management: refining the process to improve the asset center data accuracy: a case study in IT infrastructure of an oil and gas company located in Malaysia / Halimatun Aris
Published 2010Subjects: “…Electronic data processing. Information technology. Knowledge economy. …”
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Realizing the value of big data in process monitoring and control: Current issues and opportunities
Published 2019“…The paper emphasizes on the issues and opportunities faced by process industries in terms of Big Data collection, storage and analysis for process monitoring and control. …”
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Realizing the value of big data in process monitoring and control: Current issues and opportunities
Published 2019“…The paper emphasizes on the issues and opportunities faced by process industries in terms of Big Data collection, storage and analysis for process monitoring and control. …”
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