Search Results - (( program implementation model algorithm ) OR ( parameter implementation using algorithm ))

Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition by Reyfill Konnik, Charlie Ivan

“…This algorithm is designed using an iterative design model, whereby the program is continually tested and improved. …”
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Fuzzy state space modeling for solving inverse problems in multivariable dynamic systems by Ismail, Razidah

“…To facilitate the implementation of these algorithms, a semi-automated computational tool using Matlab® programming facilities is developed. …”
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DC motor control using LQR algorithm by Adezeno, Sagoli Olid

“…An application in Matlab called Simulink is used as tools for algorithm implementation. Simulink is chosen due to its block diagram implementation and its creation of user interface which allowing interfacing with programs in others languages. …”
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Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.] by Ismail, Razidah, Ahmad, Tahir, Harish, Noor Ainy, A. Halim, Rosenah

“…In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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Experimental implementation controlled SPWM inverter based harmony search algorithm by Najeeb M., Mansor M., Razali R., Daniyal H., Yahaya J.A.F.

Rapid software framework for the implementation of machine learning classification models by Rahman, A.S.A., Masrom, S., Rahman, R.A., Ibrahim, R.

“…However, to implement a complete machine learning model involves some technical hurdles such as the steep learning curve, the abundance of the programming skills, the complexities of hyper-parameters, and the lack of user friendly platform to be used for the implementation. …”
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SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR by FUNG , CHUN TING

“…This project aims to develop the algorithm for the tuning method that based on Nyquist Stability Criterion and at later stage build a Neural Network Model to predict the tuning parameters for the PID controller. …”
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Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization by Lee, Jesee Kar Ming

“…The ANN model is further improved using GA and PSO. Each algorithm has its own parameters and is further optimized using RSM. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

“…Then, timetabling process is performed to identify a set of departure times at both origin and destination based on predefined parameters. The multiobjective set covering model is used by including some real-world restrictions to find number of buses and drivers as it can represent the problem clearly for implementation. …”
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Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan A... by Hamsani, Aqil Khairy, Mohd Bahrin, Ummu Fatihah, Wan Abdul Manan, Wan Dorishah

“…The project's objectives are to study the classifying approach of Google Play Store application reviews using the Decision Tree algorithm, develop a prototype of a classifying application program, and evaluate the accuracy model of the review classification program. …”
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Numerical simulation of hybrid composite tubes under oblique compression by Ismail, Al Emran, Nezere, N.

“…A proper contact algorithm is implemented to prevent interpenetration among elements and surfaces. …”
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Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar by Vijyakumar, Kanendra Naidu

“…The online wavelet filter is further implemented to filter out the noise in the LFC model. …”
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Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

“…The computational results show that the algorithms which implement this new formulation are able to produce better solutions. …”
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Computer control of batch process plant (software development) by Safian, Salehudin

“…The algorithm has been successful tested using the Non-interacting Liquid Level Control of Three lank System plant models transfer function.…”
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Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain by Sadrnia, Abdolhossein

“…The Multiobjective GSA (MOGSA) algorithm is adopted and then programmed using MATLAB software particularly to the MOACLSC. …”
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Effects of Authentication of Users in Mobile Internet Protocol Version 6 by Obenofunde, Simon Tabi

“…In this thesis, a user authentication program is modeled and simulated using Network simulator2 (NS2). …”
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Fast Transient Simulations From S-Parameters With Improved Reference Impedance by Khairulzaman, Mohd Ridzuan

“…In this research, the S-parameter frequency domain convolution was presented, which was later converted to impulse response or time domain data using the inverse Fast Fourier Transform (IFFT) algorithm for the fast transient simulation of multiport interconnect network or typically addressed as a black box model. …”
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Monitoring and Control of Pressure in a Gas Plant via PID plus Feedforward Controller by Sulaiman, Ezyan Hanis

“…This project is about the development of a controller for a process using well-established advanced process control (APC) algorithm; mainly PID and Feedforward controls. …”
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QUANTIFYING CRITICAL PARAMETER IN DISEASE TRANSMISSION by Kok, Woon Chee

“…For numerical method, R programming algorithms were implemented to estimate the parameter faster and easier. …”
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

“…The SOS and its variants Discrete Symbiotic Organisms Search (DSOS) algorithm have been used to solve different optimisation problems including tasks scheduling in cloud computing environment where results obtained are promising in comparison with stateof- the-art metaheuristic algorithms. …”
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