Search Results - (( developing linear path algorithm ) OR ( java implication based algorithm ))

Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control by Srazhidinov, Radik

“…Using this method, the need for the knowledge of the degree of nonlinearity in advance can be avoided. The proposed algorithm models the Wiener-Hammerstein linear and nonlinear components in the secondary path and applies the estimated degree of nonlinearity of the nonlinear secondary path in the control algorithm design.In previous works, SEF-NLFXLMS and THF-NLFXLMS algorithms for Hammerstein and Wiener structures were developed where the acoustic path is assumed to be a unit gain. …”
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

“…The purpose of this study is two folds such as the development of a statistically valid path model which considered the possible non-linear paths, mediators, and binary endogenous feature of CVDs status. …”
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Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming by Che Ku, Nor Azie Hailma, Omar, Rosli, Sabudin Elia Nadira, Sabudin Elia Nadira

“…Path planning is one of the issues to be handled in the development of autonomous systems. …”
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Development of AODV based static multi-hop linear routing algorithm using 802.11 wireless sensor network for oil and gas pipeline by Mohamad Yusry Lee, Ikhwan Lee

“…The objective of this research is to develop a reliable AODV based multi-hop linear routing algorithm in accordance with IEEE 802.11 and to analyse the network performance implementing the proposed technique. …”
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Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article by Othman, Nor Shuhaida

“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator by Othman, Nor Shuhaida

“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Autonomous mobile robot: Path planning using backward chaining by I.M., Nawi, M.A.S.A., Rahim

“…The paper describes the design process of the AMR development, from the initiation of idea to development of algorithms, to virtual prototype development of AMR mechanisms and controller board, to fabrication, to mobility, obstacle avoidance and path planning test. …”
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AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

“…The main objective of this project is to create and develop a Path Planning Mobile Robot able to avoid obstacles in its path and reach a target designated position from its starting point utilizing 3 wheel-based rover body, sensors, linear motors and microcontrollers. …”
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Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method by Abdul Latip, Nor Badariyah

“…Cun·ent studies have been focused on developing path planning algorithms to satisfy the criteria of path planning namely minimum path length, low computation time and complete, i.e., it gives positive result if a path is available or negative if otherwise. …”
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Development of Hybrid Algorithm for Integrated Aircraft Routing Problem and Crew Pairing Problem by NurulFarihan Mohamed, ZaitulMarlizawati Zainuddin, Said Salhi, Nurul Huda Mohamed, NurulAkmal Mohamed

STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.] by Ibrahim, Dzullijah, Yaakob, Yusli, Hussin, Norasikin, Samad, Zahurin

“…A hierarchical-based algorithm is used to extract the tool path data from STEP-NC tool path file of a product model. …”
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Simplified adaptive linear neuron harmonics extraction algorithm for dynamic performance of shunt active power filter by Mohd Zainuri, Muhammad Ammirrul Atiqi, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mariun, Norman, Abd Rahim, Nasrudin

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Design and modelling of an autonomous robotic airship with soft computing control by Wong, Wei Kitt

“…Along with the prototype airship, a path planner was also proposed for the UAV for the purpose of obstacle avoidance and path optimization using genetic algorithm to minimize on the distance travelled and to generate the shortest path to cover the specified waypoints. …”
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Path Following Using A Learning Neural Network by NHH , Mohamad Hanif

“…This thesis is a development ofprevious works done by [2} on capability of neural controller to efficiently track prescribed paths. …”
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Optimum Time-Cost Trade-Off Strategies on Critical Path Method for Project Management by Khalaf, Wakas S.

“…Approach of Crashing Critical Activities (CCA) was originally developed along with the Critical Path Method (CPM) for planning and controlling large scale projects in the late 50s. …”
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Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

“…Simulation and experimental results have shown that the developed THF-NLFXLMS achieves additional noise reduction of 19% from that being achieved by the linear FXLMS algorithm.…”
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Development of a precision measuring device on a loat cell of a pin-on-disc tribometer by Teh Eu Sam

Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…Kalman filter, named after its developer, is a very rare algorithm that is provable to be an optimal linear Gaussian estimator. …”
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Performance comparison of LFXLMS, MOVFXLMS and THF-NLFXLMS algorithms for Hammerstein NANC by Srazhidinov, Radik, Raja Ahmad, Raja Mohd Kamil

“…Filtered-X least mean square (FXLMS) algorithm is widely used in active noise control (ANC) systems when the secondary path is linear. …”
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Real time tracking in 3D space by robotic vision by Al-Khateeb, Khalid A. Saeed, Dandu, Mohd Akram

“…The target coordinates are determined by an image processing technique and non-linear prediction algorithm. The control signals derived from the video signal set the azimuth ? …”
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