Search Results - (( java implementation tree algorithm ) OR ( programming based control algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Control algorithm for two-tank system using multiparametric programming by Zakaria, A., Mid, E.C., Mohamed, M.F., Hussin, M.H.M., Shaari, A.S., Ruslan, Eliyana, Hadi, Dayanasari, Masri, M.

“…This study proposes a control algorithm for a two-tank system based on multiparametric programming. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Real-time implementation of H∞ controller for UAV helicopter using MATLAB-based embedded programming approach by Tijani, Ismaila, Akmeliawati, Rini, Legowo, Ari

“…The design and deployment of an H∞ based flight control algorithm onto an embedded target is presented for a small scale unmanned helicopter system. …”
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PIC-Based Controller for IGBT Inverter for 3-Phase Motor Drive by SUSETYO, BIANLALA

“…The controller, based on Microchip PIC, needs to be programmed with the commutation algorithm and control strategy.…”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

“…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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Diagnosis of Poor Control Loop Performance: Development of a Model Based Compensation Algorithm for Control Valve Stiction Nonlinearity by N. Narayanasamy, Anand

“…The objective of this paper is to develop a model based compensation algorithm using optimization approach of MIQP based MPC backlash compensator for control valve stiction nonlinearity. …”
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CAR TRACTION CONTROL SYSTEM by MOHD ISMAIL, ADIBAH

“…VHDL is used in FPGA - based implementation. The methodology includes designing the fuzzy logic controller, development of the algorithm and codes programming. …”
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Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach by Gholizadeh, Somayyeh

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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.

Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

“…Navigation algorithms are tested in a variety of differently shaped environments to encourage the development of robust solutions, and reduce the possibility of solutions based on memorization of a fixed set of movements. …”
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Reference-pulse CNC parametric curve real-time interpolator parallel algorithm using parallel programming by A. F. A., Nasir, W. A. W., Yusoff

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A hybrid intelligent algorithm for solving the bilevel programming models by Shamsul Bahar, Yaakob, Prof. Madya, Watada, Junzo

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Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension by Affandy

“…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). The efficacy evaluation of the prototype is based on pre- and post- test of the students’ programming performance. …”
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Neural network based model predictive control for a steel pickling process by Kittisupakorn, P., Thitiyasook, P., Hussain, Mohd Azlan, Daosud, W.

“…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
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Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system by Khaksar W., Hong T.S., Sahari K.S.M., Khaksar M., Torresen J.

“…Adaptive control systems; Controllers; Fuzzy neural networks; Fuzzy systems; Motion planning; Robot programming; Robots; Tabu search; Adaptive neuro fuzzy inference systems (ANFIS); Adaptive neuro-fuzzy inference system; ANFIS; Fuzzy controllers; Motion planning algorithms; Sampling-based algorithms; Sampling-based motion planning; Unknown environments; Fuzzy inference…”

Design and implementation of an optimal fuzzy logic controller using genetic algorithm by Khan, Sheroz, Abdulazeez, Salami Femi, Adetunji, Lawal Wahab, Alam, A. H. M. Zahirul, Salami, Momoh Jimoh Emiyoka, Hameed, Shihab A., Hassan Abdalla Hashim, Aisha, Islam, Mohd Rafiqul

“…Present study was based on a software approach which was focusing on an algorithmic approach for programming a PIC16F877A microcontroller, for eliminating altogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system to changing operational conditions. …”
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PID TUNING OF DC MOTOR USING SWARM ITELLIGENCE ALGORITHM by Hasdi Aimon, Arhimny

“…In this project, Particle Swarm Optimization (PSO) as one of Swarm Intelligence Algorithm based has proposed to be integrated with PID (Proportional, Integral, Derivative) Controller in order to achieve optimal tuning method. …”
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Modular motor driver with torque control for gripping mechanism by How D.N.T., Baharuddin M.Z., Mohideen S.S.K., Sahari K.S.M., Anuar A.

“…In implementing the project, several algorithms were tested to achieve the torque control algorithm requirement including on-off algorithm, P algorithm, PI algorithm, PD algorithm and PID algorithm. …”