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Articles 1 - 11 of 11
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Path Planning For A 6 Dof Robotic Arm Based On Whale Optimization Algorithm And Genetic Algorithm, Mahmoud A. A. Mousa, Abdelrahman Tarek Elgohr, Hatem Khater
Path Planning For A 6 Dof Robotic Arm Based On Whale Optimization Algorithm And Genetic Algorithm, Mahmoud A. A. Mousa, Abdelrahman Tarek Elgohr, Hatem Khater
Journal of Engineering Research
The trajectory planning for robotic arms is a significant area of research, given its role in facilitating seamless trajectory execution and enhancing movement efficiency and accuracy. This paper focuses on the development of path planning algorithms for a robotic arm with six degrees of freedom. Specifically, three alternative approaches are explored: polynomial (cubic and quantic), Whale Optimization Algorithm (WOA), and Genetic Algorithm (GA). The comparison of outcomes between different methods revealed that polynomial methods were found to be more straightforward to implement, albeit constrained by the intricacy of the pathway. Upon examining the functioning of the WOA, it has been …
Path Planning For A 6 Dof Robotic Arm Based On Whale Optimization Algorithm And Genetic Algorithm, Mahmoud A. A. Mousa, Abdelrahman Tarek Elgohr, Hatem Khater
Path Planning For A 6 Dof Robotic Arm Based On Whale Optimization Algorithm And Genetic Algorithm, Mahmoud A. A. Mousa, Abdelrahman Tarek Elgohr, Hatem Khater
Journal of Engineering Research
The trajectory planning for robotic arms is a significant area of research, given its role in facilitating seamless trajectory execution and enhancing movement efficiency and accuracy. This paper focuses on the development of path planning algorithms for a robotic arm with six degrees of freedom. Specifically, three alternative approaches are explored: polynomial (cubic and quantic), Whale Optimization Algorithm (WOA), and Genetic Algorithm (GA). The comparison of outcomes between different methods revealed that polynomial methods were found to be more straightforward to implement, albeit constrained by the intricacy of the pathway. Upon examining the functioning of the WOA, it has been …
Comparative Study Between Glycated Hemoglobin And Glycated Albumin In Diabetes In Hemodialysis Patients, Alsayed Mohamed Rashed, Reda Fakhry Mohamed, Mohamed Alsayed Abo Ghabsha, Mohamed Shehata Shaaban Ghoneim
Comparative Study Between Glycated Hemoglobin And Glycated Albumin In Diabetes In Hemodialysis Patients, Alsayed Mohamed Rashed, Reda Fakhry Mohamed, Mohamed Alsayed Abo Ghabsha, Mohamed Shehata Shaaban Ghoneim
Al-Azhar International Medical Journal
Background: The importance of accurately measuring glycemic control in the diabetic people cannot be overstated, since better glycemic control decreases micro- and macrovascular problems in individuals with diabetes mellitus getting renal replacement treatment. Aim: This study's objective was to contrast between glycated hemoglobin and glycated albumin in diabetes in hemodialysis patients. Subject and Methods: This was Prospective Comparative research caried out on 100 diabetic patients. Two groups were created out of them: Group (I): that had 50 patients’ diabetic on hemodialysis. Group (II): that included 50 patients diabetic not on hemodialysis. From March 2022 to September 2022, this research was …
Designing A Novel Model For Stock Price Prediction Using An Integrated Multi-Stage Structure: The Case Of The Bombay Stock Exchange, Mojtaba Sedighi, Fereydoon Rahnamay Roodposhti
Designing A Novel Model For Stock Price Prediction Using An Integrated Multi-Stage Structure: The Case Of The Bombay Stock Exchange, Mojtaba Sedighi, Fereydoon Rahnamay Roodposhti
Australasian Accounting, Business and Finance Journal
Stock price prediction is considered a strategic and challenging issue in the stock markets. Considering the complexity of stock market data and price fluctuations, the improvement of effective approaches for stock price prediction is a crucial and essential task. Therefore, in this study, a new model based on “Adaptive Neuro-Fuzzy Inference System (ANFIS), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA)” is employed to predict stock price accurately. ANFIS has been utilized to predict stock price trends more precisely. PSO executes towards developing the vector, and GA has been utilized to adjust the decision vectors employing genetic operators. The stock …
From The Gas: Congratulations, Publications, Presentations, The University Of Southern Mississippi
From The Gas: Congratulations, Publications, Presentations, The University Of Southern Mississippi
SLIS Connecting
News and congratulations from SLIS Graduate Assistants for student, alumni, and faculty accomplishments, publications, and presentations.
From The Gas: Congratulations, Publications, Presentations, The University Of Southern Mississippi
From The Gas: Congratulations, Publications, Presentations, The University Of Southern Mississippi
SLIS Connecting
News and congratulations from SLIS Graduate Assistants for student, alumni, and faculty accomplishments, publications, and presentations.
Forestry Fire Spatial Diffusion Model Based On Integration Of Multi-Agent Algorithm With Cellular Automata, Zhao Di, Zhisheng Xu
Forestry Fire Spatial Diffusion Model Based On Integration Of Multi-Agent Algorithm With Cellular Automata, Zhao Di, Zhisheng Xu
Journal of System Simulation
Abstract: In view of the existing ultrasonic detection signal attenuation, directional difference, complex propagation paths, and characteristics of the components of complex, a kind of intelligent concrete defect nondestructive detection algorithm based on multi resolution singular entropy was put forward. By using the wavelet algorithm, the ultrasonic signal was decomposed into high, low frequency components of multi scales for each component, then each component was decomposed by singular spectrum analysis, at the same time using the information entropy theory, the calculation of singular entropy as the characteristic defect detection value, using the GA-SVM algorithm was used to train the singular …
Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan
Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan
Journal of System Simulation
Abstract: This paper proposes a method of quality control chart recognition based on Quantum Genetic Clustering Algorithm. This method is divided into two parts: quality feature extraction and pattern classification. By combining Quantum Genetic Algorithm(QGA) and K-means algorithm, a quantum genetic clustering algorithm based on a mechanism for determining the rotation direction of a quantum rotary gate is proposed, and its performance is verified by experimental simulation. Based on the clustering analysis of quality data using the quantum genetic algorithm proposed in this paper, a control chart feature description method is proposed. With this feature as input, Support Vector …
Heuristic Algorithm-Based Estimation Of Rotor Resistance Of An Induction Machine By Slot Parameters With Experimental Verification, Mehmet Çelebi̇, Murat Tören
Heuristic Algorithm-Based Estimation Of Rotor Resistance Of An Induction Machine By Slot Parameters With Experimental Verification, Mehmet Çelebi̇, Murat Tören
Turkish Journal of Electrical Engineering and Computer Sciences
The estimations of induction machine equivalent circuit parameters are still being widely used in the analysis and in determining the characteristics of the machine. Since the most important part of the machine is the rotor where torque is produced, the calculation of rotor resistance correctly will directly affect all other data. Almost all parameters belonging to the stator side can easily be determined through external measurements. However, due to the formulation of the rotor as a closed box, estimating rotor resistance and the rotor's slot shape by heuristic algorithms, without damaging the rotor physically, and comparing it with its actual …
From The Gas: Congratulations, Publications, Presentations, Usm School Of Library And Information Science
From The Gas: Congratulations, Publications, Presentations, Usm School Of Library And Information Science
SLIS Connecting
News and congratulations from LIS Graduate Assistants for student, alum, and faculty accomplishments, publications, and presentations.
Fractional Pid Controllers Tuned By Evolutionary Algorithms For Robot Trajectory Control, Zafer Bi̇ngül, Oğuzhan Karahan
Fractional Pid Controllers Tuned By Evolutionary Algorithms For Robot Trajectory Control, Zafer Bi̇ngül, Oğuzhan Karahan
Turkish Journal of Electrical Engineering and Computer Sciences
The aim of this paper is to compare the performances of a fractional order proportional integral derivative (FOPID) controller tuned with evolutionary algorithms for robot trajectory control. In order to make this comparison, a 2-degrees-of-freedom planar robot was controlled by a FOPID controller tuned with particle swarm optimization (PSO) and a real coded genetic algorithm (GA). In order to see the effects of the cost functions on the optimum parameters of the FOPID controller, 3 different cost functions were used: the root mean squared error (MRSE), mean absolute error (MAE), and mean minimum fuel and absolute error (MMFAE). In order …