Search Results - (( intelligence system control algorithm ) OR ( intelligence system ais algorithm ))

Power system stabilization based on artificial intelligent techniques: a review by Hassan, L.H., Moghavvemi, M., Mohamed, H.A.F.

“…These techniques are Artificial Neural Network (ANN), fuzzy logic, hybrid artificial intelligent, expert systems, and optimization techniques base AI such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Tabu Search (TS) algorithm, etc. …”
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Sustainability in intelligent building environments using weighted priority scheduling algorithm by Shahi, Ahmad, Sulaiman, Md Nasir, Mustapha, Norwati, Perumal, Thinagaran, Meimandi Parizi, Reza

“…Multi-platform type of heterogeneous systems functioning in intelligent building environments can lead to system failures with regard to deadlocks and unpredictable behavior, known as conflict occurrence. …”
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Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

“…In this work active intelligent control comprises a set of control techniques based on particle swarm optimisation (PSO), real coded genetic algorithm (RCGA) and artificial immune system (AIS). …”
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Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey by Ali, J.M., Hussain, Mohd Azlan, Tade, M.O., Zhang, J.

“…The versatility of Artificial Intelligence (AI) in process systems is not restricted to modelling and control,only, but also as estimators to estimate the unmeasured parameters as an alternative to the conventional observers and hardware sensors. …”
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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

“…Furthermore, the solar image formed on the on-axis target can also be easily affected by gear backlash and wind load, and an absolute encoder is used to reduce the errors produced by the sun-tracking system. Therefore, a fully artificial intelligent (AI)-integrated sun-tracking algorithm is proposed and can be used in any type of sun-tracking systems such as concentrated photovoltaic (CPV), flat photovoltaic (PV) or heliostat systems. …”
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Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

“…Therefore, this study presents the prospect of artificial intelligence-based algorithms, control systems, and energy management strategies advances on HFCEVs performance optimization. …”

Transform of Artificial Immune System algorithm optimization based on mathematical test function by Yaw M.W., Chong K.H., Kamil K.

“…Artificial intelligence; Control systems; Functions; Gallium; Genetic algorithms; Immune system; Mathematical transformations; Artificial Immune System; Artificial immune system algorithms; Biological immune system; Complex optimization problems; Global searching; Hybrid algorithms; Hyper mutation; Test functions; Optimization…”

Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

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Evaluating the Efficacy of Intelligent Methods for Maximum Power Point Tracking in Wind Energy Harvesting Systems by Umar D.A., Alkawsi G., Jailani N.L.M., Alomari M.A., Baashar Y., Alkahtani A.A., Capretz L.F., Tiong S.K.

“…Furtherly, Artificial Intelligence (AI)-based MPPT algorithms were proposed for the WEHS as either standalone or integrated with the traditional MPPT methods. …”

Automating commercial video game development using computational intelligence by Tse, Guan Tan, Teo, Jason Tze Wi, Patricia Anthony

“…Conclusion: Overall, the proposed algorithm has a very good performance with a high probability of automatically generating successful game AI controllers for the video game.…”
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Intelligent DNA signature detection for internet worms by Ghazali, Osman

“…Active worms spread in an automated fashion flooding the Internet in a very short time.Slammer worm infected more than 90% of vulnerable machines within 10 minutes on January 25th, 2003.Hence it is necessary to monitor and detect the worms as soon as they are introduced to minimize the damage caused by them.This project concentrates on developing an anti-scanning worm detection system that can automatically detect and control the spread of internet scanning worms without any manual intervention.The Intelligent Failure Connection Algorithm (IFCA) developed in this project can detect both stealth and normal worms within a short time.Experiments conducted as part of the evaluation shows that IFCA detects a worm within two scanning cycles of the worm.This is faster than any of the currently available algorithms or mechanisms reported in the literature.The IFCA uses Artificial Immune System (AIS) for the purpose of monitoring and detecting the worms.The Traffic Signature Algorithm (TSA) developed in the project captures the traffic signature of the worm from the infector when it sends the traffic to the victim.The Intelligent DNA Signature Detection Algorithm (IDNASDA) algorithm works by breaking an infection session into different infection phases, each phase containing a number of different traffic such as Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), or User Datagram Protocol (UDP).Finally it converts the traffic signature to DNA signature.The tests carried out show that the IDNASD could detect DNA signature for MSBlaster worm.…”
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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm by Shahrizal, Saat, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

“…The result was the BELBIC-PID controller inspired by the limbic system of the human brain, which has high precision. …”
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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm by Shahrizal, Saat, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

“…The result was the BELBIC-PID controller inspired by the limbic system of the human brain, which has high precision. …”
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A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells by Mohd Farid, Atan, Mohamad Afiq, Mohd Asrul, Andrica Claudia, Henry, Hafizah, Abdul Halim Yun, Ivy Tan, Ai Wei, Josephine Lai, Chang Hui

“…By directly targeting the bottlenecks of controller portability, computational load, and integration with industrial supervisory systems, this framework provides a practical roadmap for deploying intelligent MEC control across large-scale wastewater-to-hydrogen facilities.…”
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Employing artificial intelligence techniques in Mental Health Diagnostic Expert System by Masri R.Y., Mat Jani H.

Subjects: “…expert system…”

A review of photovoltaic water pumping system designing methods, control strategies and field performance by Muhsen D.H., Khatib T., Nagi F.

Computational intelligence based power system security assessment and improvement under multicontigencies conditions by Nor Rul Hasma, Abdullah

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Intelligent decision support systems: transforming smart cities management by Ahmed, Zeinab E., Hassan Abdalla Hashim, Aisha, Mokhtar, Rania A., Saeed, Mamoon M.

“…Hereby, we present a complex framework that involves Internet of Things (IoT) devices, Neural Networks, Artificial Intelligence (AI) to make decisions in traffic controlling, environmental issues and safety. …”
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Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm by Albert F.Y.C., Koh S.P., Tiong S.K., Chen C.P., Yap F.W.

“…The system would adopt the advantage of Genetic Algorithm to optimize its performance in terms of motion control and accuracy. …”

Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm by Ayman Khallel Al-ani, Shams Ul Arfeen Laghari, Hariprasath Manoharan, Shitharth Selvarajan, Mueen Uddin

“…Furthermore, a route management technique is combined with Artificial Intelligence (AI) algorithm to transmit the data to appropriate central servers. …”
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