Search Results - Power system optimization detection model

Autonomous Positioning Of Unmanned Aerial Vehicle (UAV) For Power Lines Insulator Detection by Sze Sin, Voon, Kho, Lee Chin, Ngu, Sze Song, Annie, Joseph, Kuryati, Kipli

“…This paper proposes an autonomous positioning model for Unmanned Aerial Vehicles (UAVs) that can detect power line insulators on transmission lines to address this need. …”
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A hybrid particle swarm optimization - extreme learning machine approach for intrusion detection system by M.H., Ali, Mohamad, Fadlizolkipi, Ahmad Firdaus, Zainal Abidin, Nik Zulkarnaen, Khidzir

“…There are several limitations that facing intrusion-detection system in current days, such as high rates of false positive alerts, low detection rates of rare but dangerous attacks. …”
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Development and implementation of intelligent condition monitoring system for steam turbine trips by Alnaimi F.B.I., Ismail R.I.B., Ker P.J.

“…Fault detection and diagnosis is a critical optimization factor in power generation sector. …”

Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model by Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.

“…Therefore, Border Security Systems (BSS) are deployed at border crossings to detect unauthorised intrusions. …”

Electricity Anomaly Point Detection using Unsupervised Technique Based on Electricity Load Prediction Derived from Long Short-Term Memory by Salleh N.S.M., Saripuddin M., Suliman A., Jorgensen B.N.

“…Anomaly detection; Brain; Errors; Forecasting; Gradient methods; Mean square error; Optimization; Statistics; Stochastic models; Stochastic systems; Anomaly detection; Electricity load; Electricity theft; Load predictions; Mean absolute error; Mean squared error; Optimizers; Point detection; Power providers; Unsupervised techniques; Long short-term memory…”

A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System by Khaleefah, Shihab Hamad, A. Mostafa, Salama, Gunasekaran, Saraswathy Shamini, Khattak, Umar Farooq, Yaacob, Siti Salwani, Alanda, Alde

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A deep learning-based fault detection and classification in smart electrical power transmission system by Khaleefah, Shihab Hamad, Mostafa, Salama A., Gunasekaran, Saraswathy Shamini, Khattak, Umar Farooq, Siti Salwani, Yaacob, Alanda, Alde

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Fault Detection and Diagnosis of Industrial Robot Based on Power Consumption Modeling by Sabry A.H., Nordin F.H., Sabry A.H., Abidin Ab Kadir M.Z.

A fast learning network with improved particle swarm optimization for intrusion detection system by Ali, Mohammed Hasan

“…In current days the intrusion detection systems (IDS) have several shortcomings such as high rates of false positive alerts, low detection rates of rare but dangerous attacks, and the need for a constant human intervention and tuning. …”
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Design of a low-noise low-power front-end readout circuit for neutron detection using 130nm CMOS technology by Aimaier, Nueraimaiti

“…A typical neutron detection system consists of detector itself and frontend readout electronics. …”
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Exploring the optimal potential of transient reflection method through mel-frequency ceptrums coefficient and artificial neural network for leak detection and size estimation in wa... by Muhammad Hanafi, Yusop

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Adaptive unified neural network for dynamic power quality compensation by Ghazanfarpour, Behzad, Mohd Radzi, Mohd Amran, Mariun, Norman, Shoorangiz, Reza

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A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System by Khaleefah S.H., Mostafa S.A., Gunasekaran S.S., Khattak U.F., Yaacob S.S., Alanda A.

Development Of An Intelligent Controller For Solid State Fault Current Limiter by Nur Asyikin Binti Ghazali

“…This thesis deals with the modelling and simulations of custom power devices, namely solid-state fault current limiter (SSFCL) with an intelligent controller of fuzzy logic controller (FLC). …”

Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines by Aker, Elhadi Emhemed Alhaaj Ammar

“…The model limitation is in retraining for new knowledge with changes in the power system network topology and lacks robustness. …”
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Deep learning inference on edge device: Traffic violation detection using OpenVino by Chiew, Jing Cheng

“…Before the project ends, a traffic violation detection application that combined with several deep learning pre-trained models will be configured and deployed in an intel-powered edge device (Intel UP board). …”
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Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions by Hajighorbani, Shahrooz

“…The significant reduction of oscillation in power is observed to be due to implementation of the modified P&O.As a conclusion, the DSMPP algorithm has successfully been performed to detect the GMPP under PSCs in minimum time, with low oscillation in power, and high accuracy as detecting the GMPP for different scenarios of shadowing.…”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

“…However, embedded system often been having limited computing power, small memory storage and relies on battery capacity. …”
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Overhead view based person counting using deep learning by Kaw, Chee Zhao

“…First, the YOLOv4 and YOLOv4-tiny object detection models are trained with the dataset of overhead camera perspective. …”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

“…This application, integrated with a predictive model, offers real-time visualisation of primary cooling system characteristics through handheld devices. …”
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