Search Results - ((((signal processing) OR (good processing))) OR (data processing))
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1
A signal processing of deep drilling process
Published 2015“…In this experiment, signal processing method was chosen to monitor the tool condition. …”
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Undergraduates Project Papers -
2
Design and development of a fully automated consumer-based wireless communication system for fruit grading
Published 2023Subjects:Conference paper -
3
Development of a cryptography model based on improved filtering, compression and encryption techniques for ECG signal processing
Published 2022“…This research work proposed a model to combine approaches for ECG denoising, data encoding, and encryption. Further, improved ECG signal processing based on improved filtering, an adaptive lossless compression mechanism, and hybrid cryptography are proposed. …”
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4
A Study on Self Similar Vehicle Arrival Pattern at Isolated Signalized Intersection
Published 2018“…Then, statistical analysis such as hypothesis tests was executed to examine the goodness-of-fit between Poisson process and self-similar process. …”
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Final Year Project / Dissertation / Thesis -
5
Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals
Published 2015“…Based on the analysis, it was found that kurtosis and skewness value are the most appropriate parameters to represent the deep twist drill tool conditions behaviors from vibrations and forces data. The condition of the deep twist drill process been classified according to good, blunt and fracture. …”
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Conference or Workshop Item -
6
Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data
Published 2007“…Existing HOS based techniques are good in processing of non-minimum phase system but most of them fails when noise dominates the actual signal. …”
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Conference or Workshop Item -
7
Precise Electrocardiogram Signal Analysis Using ResNet, DenseNet, and XceptionNet Models in Autistic Children
Published 2026journal::journal article -
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EWMA Control Chart in Detecting and Diagnosing a Persistent Shift in a Process Mean
Published 2012“…In this paper, two data sets collected respectively from a production process of small electronic devices designed to emit timing signal of 200 milliseconds (ms) duration and from a production line of forged piston rings, are analyzed. …”
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Conference or Workshop Item -
9
Evaluation of tool wear and machining performance by analyzing vibration signal in friction drilling
Published 2020“…Pattern recognition was identified and categorized into one of three clusters which are; tool at good, half-life and worn-out conditions. The results found that the vibration amplitude is directly proportional to tool wear and friction which support the nature of tool wear in drilling process. …”
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Article -
10
Statistical Analysis of Deep Drilling Process Conditions Using Vibrations and Force Signals
Published 2016“…Result found that kurtosis and skewness value are the most appropriate parameters to represent the deep twist drill tool conditions behaviors from vibrations and forces data. The condition of the deep twist drill process been classified according to good, blunt and fracture. …”
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Conference or Workshop Item -
11
Determination of total electron content (TEC) with the use of selected pseudo-random noise code / Amirah Aiyub
Published 2013“…Total Electron content (TEC) measurements are made mostly using GPS data because of the good global coverage of the GPS observation network. …”
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Thesis -
12
Development of graphical user interface (GUI) for bearing fault detection
Published 2013“…The objective of this project is to develop software with signal processing tools to detect defect features in mechanical signal of the bearing. …”
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Undergraduates Project Papers -
13
Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis
Published 2016“…Intelligent methods have concerted on sensing precise failure modes and recommending intelligent maintenance decisions based on the signatures collected through signal processing. Therefore, an advanced signal processing must be considered to derive the fault signature accomplish with a powerful decision-making technique. …”
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14
Condition monitoring of deep drilling process for cooling channel making in hot press die
Published 2016“…SVM performs classification process based on the data input vector that comprise as fault in the machine. …”
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Undergraduates Project Papers -
15
EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
Published 2019“…The process of developing the EEG eye state classification algorithm, includes data extraction, pre-processing, data normalization, feature extraction, feature selection and classification are detailed out in this paper. …”
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Conference or Workshop Item -
16
EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
Published 2019“…The process of developing the EEG eye state classification algorithm, includes data extraction, pre-processing, data normalization, feature extraction, feature selection and classification are detailed out in this paper. …”
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Conference or Workshop Item -
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Analysis Of Signal To Noise Ratio On Restored Multispectral Data
Published 2017“…The data comes from multispectral satellite sensor and has undergone a restoration process due to the degradation by atmospheric haze. …”
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Article -
19
Fault detection for rotating machine using time frequency localization method
Published 2010“…This signal processing analysis is recommended to use in on-line monitoring of parameters while the machine is producing.…”
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Undergraduates Project Papers -
20
PCM data link using analog-to-digital converter (ADC) / Mohamad Heary Mohamad Yasin
Published 2003“…However the main advantage of PCM is a much wider bandwidth than that of the corresponding analog signal. In PCM there are three processing stage involved in the conversion of an analog signal to PCM signal that is sampling, quantizing and coding. …”
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