Search Results - (( deviation detection using algorithm ) OR ( program implementation using algorithm ))
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Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…Forward chaining strategy is used to interpret the rule-based system. The whole system has been developed using Microsoft Visual C++ programming language. …”
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Sensing texture using an artificial finger and a data analysis based on the standard deviation
Published 2015“…The standard deviation analysis for texture detection is novel as it uses a combination of arthmetic processes. …”
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A self-contained real-time angle deviation detection and measurement technique for straight line quadrocopter navigation using accelerometer / Nor Hashim Mohd Arshad … [et al.]
Published 2014“…This project proposes a new real-time adaptive trajectory correction algorithm for quadrocopter, which could specifically detect angle deviation through the use of accelerometer to allow for corrective action.…”
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Fault diagnostic algorithm for precut fractionation column
Published 2004“…Hazard and Operability Study (HAZOP) is used to support the diagnosis task. The algorithm has been successful in detecting the deviations of each variable by testing the data set. …”
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Sensing texture using an artificial finger and a data analysis based on the standard deviation
Published 2015“…The SD analysis for texture detection is novel as it uses a combination of arithmetic processes. …”
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Development of a rule-based fault diagnostic advisory system for precut fractionation column
Published 2005“…This research presents a Fault Diagnostic Advisory (FDA) System which can be used to detect and diagnose unexpected process deviation in the operation of fatty acid precut fractionation column. …”
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Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
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Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…Hence, it is critical for an anomaly detection algorithm to detect data anomalies patterns. …”
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Development of a computer vision-based technique for analysis of hand therapy exercise
Published 2018“…For this purpose, the ROM exercise was developed by using the hand detection and tracking, fingertips detection, skeleton joints detection algorithms and joint angle measurement algorithm. …”
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The effect of different distance measures in detecting outliers using clustering-based algorithm for circular regression model
Published 2017“…In this study, we proposed multiple outliers detection in circular regression models based on the clustering algorithm. …”
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The multiple outliers detection for circular univariate data using different agglomerative clustering algorithms
Published 2024“…Meanwhile, SL-Satari/Di, CL-Satari/Di, and AL-Satari/Di algorithms are recommended to be used for large sample sizes since these algorithms perform very well in detecting the outliers and have low masking and swamping effect at any percentage of outliers and concentration parameter. …”
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Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Published 2012“…The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
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A study on advanced statistical analysis for network anomaly detection
Published 2005“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
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Comparative study of clustering-based outliers detection methods in circular-circular regression model
Published 2021“…This paper is a comparative study of several algorithms for detecting multiple outliers in circular-circular regression model based on the clustering algorithms. …”
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Comparative study of clustering-based outliers detection methods in circular-circular regression model
Published 2021“…This paper is a comparative study of several algorithms for detecting multiple outliers in circular-circular regression model based on the clustering algorithms. …”
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Comparative study of clustering-based outliers detection methods in circularcircular regression model
Published 2021“…This paper is a comparative study of several algorithms for detecting multiple outliers in circular-circular regression model based on the clustering algorithms. …”
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Capacitive sensing algorithm for elderly activity detection scheme indoor environment
Published 2018“…The detecting and tracking algorithm uses the sensory data to indicate an associated situation in order to allow elderly people with special requirements. …”
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Implementation of autonomous vehicle navigation algorithms using event-driven programming
Published 2012“…The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
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Skin detection using HSV color component subtraction and texture information / Rizal Mat Jusoh and Norhazimi Hamzah
Published 2010“…This thesis presents skin detection algorithm for detecting human skin regions in color images. …”
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