Search Results - (( pressure distribution rate algorithm ) OR ( parameters variation via algorithm ))

Robustness Analysis Of An Optimized Controller Via Particle Swarm Algorithm by Chong, Chee Soon, Ghazali, Rozaimi, Jaafar, Hazriq Izzuan, Syed Hussein, Syarifah Yuslinda, Md Rozali, Sahazati

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Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha by Talha, Nor Syaliza

“…The objective is to find the optimum value of element spacing where it will give the best DOA estimation of signal impinging on a uniform linear array (ULA). The algorithms used in detecting the DOA are the Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational invariance Techniques (ESPRIT). …”
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Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha by Talha, Nor Syaliza

“…The objective is to find the optimum value of element spacing where it will give the best DOA estimation of signal impinging on a uniform linear array (ULA). The algorithms used in detecting the DOA arc the Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational invariancc Techniques (ESPRIT). …”
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Interpolation and extrapolation techniques based Neural Network in estimating the missing ionospheric TEC data by Jayapal V., Zain A.F.M.

“…This paper investigates the capabilities of Neural Network (NN) application in estimating the missing ionospheric total electron content (TEC) data via interpolation and extrapolation methods. TEC is an important parameter that describes the state of the ionosphere. …”

Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi by Mazhar, Hussain Abbasi

“…Internal parameters are used, for example, feed-forward compensator of current controller and parameters of observer model in sensor less position. …”
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Lumped parameter modelling in femoral popliteal artery for normal and severe conditions by Kaha, Asrizan, Taib, Ishkrizat, Paisal, Muhammad Sufyan Amir, Tajul Arifin, Ahmad Mubarak, Ismail, Al Emran, Asmuin, Norzelawati, Abdul Haq, Reazul Haq, Chatpun, Surapong, Yamamoto, Takahisa, Osman, Kahar

“…In conclusion, the obtained waveform propagation from the linear analysis of the lumped parameter modelling shows that the periodic mean pressures and flow rate distributions in large arteries are highly depend on the resistances and the compliances. …”
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Kinetic modelling of free-radical vinyl chloride polymerization with a mixture of initiators by Tan , Amy Siew Wern, Mohd. Yusof, Khairiyah, Hashim, Shahrir

“…The isothermal model predicts the overall monomer conversion, the polymerization rate, reactor pressure and the monomer distribution in the gas, aqueous, and polymer phases for the polymerization cycle. …”
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Interpolation and Extrapolation Techniques Based Neural Network in Estimating the Missing Ionospheric TEC Data by Jayapal, V, Zain, AFM

Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration by Jason, Cheah, Ilyas, Suhaib Umer, Ridha, Syahrir, Sehar, Umara, Alsaady, Mustafa, Krishna, Shwetank

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Study Of Processing Parameters In Manufacturing Of Flat Glass-Epoxy Composite Laminates Using Vacuum Bagging Oven Curing by Hanafiah, Nur Hafzareen Md

“…The physical quality analysis is also performed to evaluate the thickness variation and abnormalities throughout the laminate. …”
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IMPROVING QoS OF VoWLAN VIA CROSS-LAYER BASED ADAPTIVE APPROACH by AHMED ALI ALSHAKHSI, SAMEHA

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Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

“…The second algorithm reduces the quantity of interest regions by using the Extremal Region Selection (ERS) algorithm. …”
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Evolutionary low frequency steering vibration control towards human spine by Toha, Siti Fauziah

“…This technique combines physical behaviour information of the spine via mathematical model and robust black-box model of the spine with added vehicle speed variation. …”
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Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant by Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin

“…Neuro-fuzzy approach trained by a sequence of optimization algorithms-Particle Swarm Optimization (PSO) followed by Back-Propagation (BP)-is used to develop models for the steam drum pressure, steam drum water level, steam flow rate and chilled water supply temperature. …”
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DC-based PV-powered home energy system by Sabry, Ahmad H.

“…The controller algorithm requires also the variation range of the geographical weather parameters (irradiance and temperature) to specify the MPP which is equivalent to that operating voltage at minimum weather parameters. …”
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Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network by Mohamad Afiq, Mohd Asrul

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Development of a State-Space Observer for Active Noise Control Systems by Muhssin, Mazin T.

“…The secondary path of the ANC system is modeled by using the LMS algorithm to complete the design of the Filtered-X Least Mean Square (FXLMS) controller. …”
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Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system by Fayaz, Hussain, Ramesh, S., Afzal, Asif, Agbulut, Ümit, Khan, Sher Afghan, Asif, Mohammed, Raja, Vijayanandh, Linul, Emanoil

“…A finite volume solver is used for solving thermal and fluid flow governing equations. A pressure staggering option algorithm is applied for pressure–velocity coupling. …”
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Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system by Fayaz H., Ramesh S., Afzal A., A?bulut �., Afghan Khan S., Asif M., Raja V., Linul E.

“…A finite volume solver is used for solving thermal and fluid flow governing equations. A pressure staggering option algorithm is applied for pressure?…”

Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues by Samsudin , Mohd Dinie Muhaimin

“…Therefore, a predictability test was carried out using Monte Carlo algorithm. Results showed that consistence bioethanol yield with this study could be expected if the fluctuation of kinetic model parameters is 2.5% or below. …”
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