Search Results - event detection algorithm

Real time power quality event detection using continuous wavelet transform by Tan R.H.G., Ramachandaramurthy V.K.

Subjects:

High impedance fault detection and identification based on pattern recognition of phase displacement computation by Ali, Mohd Syukri, Bakar, Ab Halim Abu, Tan, Chia Kwang, Arof, Hamzah, Mokhlis, Hazlie

“…There are two stages in this algorithm. In the first stage, the pattern of the PDC is analyzed to detect the occurrence of an event. …”
Get full text
Get full text

Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis by Kabir Ahmad, Farzana, Kamaruddin, Siti Sakira, Yusof, Yuhanis, Yusoff, Nooraini

“…Complex event pattern detection has become an emerging research area in various monitoring applications. …”
Get full text
Get full text

An enhanced binary bat and Markov clustering algorithms to improve event detection for heterogeneous news text documents by Al-Dyani, Wafa Zubair Abdullah

“…Event Detection (ED) works on identifying events from various types of data. …”
Get full text
Get full text

High Impedance Fault Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

“…The results show that the proposed algorithm can distinguish successfully HIFs from other events in distribution power system.…”
Get full text
Get full text
Get full text

Broken Conductor Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

“…It proposes an intelligent algorithm using the Fuzzy Subtractive Clustering Model (FSCM) to detect the high impedance fault. …”
Get full text
Get full text
Get full text

Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model by Sulaiman , Marizan, Adnan, Tawafan, Ibrahim, Zulkifilie

“…This paper presents the algorithm for HIF detection based on the amplitude of third and fifth harmonics of current, voltage and power. …”
Get full text
Get full text
Get full text

Adaptive Neural Subtractive Clustering Fuzzy Inference System for the Detection of High Impedance Fault on Distribution Power System by Tawafan, Adnan, Sulaiman , Marizan, Ibrahim, Zulkifilie

“…The algorithm for HIF detection based on the amplitude ratio of second and odd harmonics to fundamental is presented. …”
Get full text
Get full text
Get full text

Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection by Ng, Shi Ya

“…For these purposes, a web scraping program is developed to identify the supply risks caused by these temporary events. It is a low-cost solution for the temporary events to be evaluated so that the risks can be detected in real-time for better decision-making. …”
Get full text
Get full text
Get full text

Improving EEG Signal Peak Detection Using Feature Weight Learning of a Neural Network with Random Weights for Eye Event-Related Applications by Asrul, Adam, Zuwairie, Ibrahim, Norrima, Mokhtar, Mohd Ibrahim, Shapiai, Cumming, Paul, Marizan, Mubin

“…The optimization of peak detection algorithms for electroencephalogram (EEG) signal analysis is an ongoing project; previously existing algorithms have been used with different models to detect EEG peaks in various applications. …”
Get full text
Get full text
Get full text
Get full text

Test Data Generation for Event Driven System Using Bees Algorithm by Mohammed Zabil, Mohd H., Kamal Z., Zamli

“…For an event driven system, the order of the event sequence should also be tested to detect failure in any possible sequences of the event. …”
Get full text
Get full text

Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

“…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
Get full text
Get full text
Get full text

Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

“…Also, the results show that the proposed Anomaly Detection (AD) outperforms FTDA in terms of aggregated data accuracy in which the AD conserved approximately, 59.5% of aggregated data accuracy for event compared with FTDA algorithm which conserved 54.25% of aggregated data accuracy for event. …”
Get full text
Get full text
Get full text
Get full text
Get full text

A Distributed Event Detection Scheme for Wireless Sensor Networks by Muhamad Amin , Anang Hudaya, Khan, Asad I., Raja Mahmood, Raja Azlina

“…Many of the existing event detection schemes in wireless sensor networks that employ classification or clustering approaches suffer from high communication and computational overheads. …”
Get full text
Get full text

Walking gait event detection based on electromyography signals using artificial neural network by Nazmi, Nurhazimah, Abdul Rahman, Mohd Azizi, Yamamoto, Shin Ichiroh, Ahmad, Siti Anom

“…In many gait applications, the focal events are the stance and swing phases. Although detecting gait events using electromyography signals will help the development of assistive devices such as exoskeleton, orthoses, and prostheses, stance and swing phases have yet to be observed using electromyography signals. …”
Get full text
Get full text

Fatigue Features Extraction of Road Load Time Data Using the S-Transform by S., Abdullah, Che Ku Eddy Nizwan, Che Ku Husin, M. F. M., Yunoh, M. Z., Nuawi, Z. M., Nopiah

“…Three types of road load fatigue data were used for simulation purpose, pave track, highway and country road. In this study, an algorithm was developed, to detect the damaging events in the original fatigue signal. …”
Get full text
Get full text

Obligation and Prohibition Norms Mining Algorithm for normative multi-agent systems by Mahmoud M.A., Ahmad M.S., Ahmad A., Yusoff M.Z.M., Mustapha A., Hamid N.H.A.

“…In this paper, we present our proposed algorithm to detect the obligation and prohibition norms which we called the Obligation and Prohibition Norms Mining algorithm (OPNM). …”

Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review by Krishna, S., Ridha, S., Vasant, P., Ilyas, S.U., Sophian, A.

“…Several theoretical studies have been performed to detect and predict fluid loss event during hydrocarbon extraction. …”
Get full text
Get full text

Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review by Krishna, Shwetank, Ridha, Syahrir, Vasant, Pandian M., Ilyas, Suhaib Umer, Sophian, Ali

“…Several theoretical studies have been performed to detect and predict fluid loss event during hydrocarbon extraction. …”
Get full text
Get full text
Get full text
Get full text

Abnormal event detection in video surveillance / Lim Mei Kuan by Lim, Mei Kuan

“…The third contribution aims to provide an integrated solution to detect multiple events in different regions-of-interest of a given scene. …”
Get full text
Get full text