- Abstract Algebra and Applications, Adaptive Control, Agriculture, environment, health applications, Algorithms, Applications of modelling in science and engineering, Artificial Neural Networks (ANNs), and 55 moreComputational Complexity, Control Theory, Differential Geometry, Digital Control, Discrete Mathematics, Embedded Systems, Evolutionary algorithms, Functional Analysis, Fuzzy logic and applications, Fuzzy set theory, Genetic Algorithms, Genetic algorithms and evolutionary computing, Graph Theory and Applications, Hybrid Systems, Industry, military, space applications, Linear and nonlinear control systems, Linear and Nonlinear Programming, Markov Chains and Applications, Mathematical Modelling, Model Predictive Control, Networked Control Systems, Fuzzy Logic and Neural Networks, A Neuro-Fuzzy Controller for Collaborative Applications in Robotics Using LabVIEW, Numerical Analysis, Numerical Analysis and Scientific Computing, Operations Research, Optimal Control, Dynamic Optimization and Optimal Control, Optimization Theory, Ordinary and Partial Differential Equations, Instrumentation and Control of Agricultural Machinery and Processes, Real and Complex Analysis, Real-time issues, Robust control, Scientific Computing (Computational Science), Sliding mode control, Soft Computing Fuzzy Logic Genetic Algorithm and Inventory Control, Statistics, Stochastic control and filtering, Stochastic Modelling, Nonlinear System Identification and Control, Systems and automation, Fuzzy topology and analysis, Softcomputing, Mathamatical Modeling, Soft Computing, Mathematics, Artificial Neural Network, Mathamatics, Programming Languages, Engineering, Computer Science, Communication, Mathematical Sciences, and Software Testingedit
- The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is an open access new collaborations in these areas .edit
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests: Set Theory, Statistics, Computational Complexity, Optimal Control, Operations Research, and 13 moreGraph Theory, Networked Control Systems, Genetic Algorithms, Embedded Systems, Soft Computing, Adaptive Control, Numerical Analysis, Digital Control, Scientific Computing, Discrete Mathematics, Artificial Neural Networks, Optimal Control theory, and Computer Modelling
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests: Functional Analysis, Algorithms, Computational Complexity, Control Theory, Graph Theory, and 13 moreNetworked Control Systems, Genetic Algorithms, Embedded Systems, Adaptive Control, Agriculture, Model Predictive Control (MPC), Mathematical Modelling, Digital Control, Discrete Mathematics, Artificial Neural Networks, Abstract Algebra, 18. Genetic and evolutionary algorithms, and Computer Modelling
will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical... more
will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Interests:
8th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques... more
8th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques in the broad field of electrical, instrumentation and communication Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical Electronics & Instrumentation Engineering.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Research Interests:
8th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques... more
8th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques in the broad field of electrical, instrumentation and communication Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical Electronics & Instrumentation Engineering.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to
Research Interests:
International Conference on Computing and Information Technology (CITE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering... more
International Conference on Computing and Information Technology (CITE 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
Research Interests: Biochemical Engineering, Optimization techniques, Bioprocess/ Biochemical Engineering, Semiconductor Devices, Biomedical informatics, and 7 moreBiomedical Instrumentation, Non Conventional Energy Resources, Optical Communication Networks, Vlsi Technology, Antenna,Microwave and RF engineering, Sensor technology & Virtual Instrumentation, and Mechatronics and Avionics
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly
peer-reviewed and refereed open access journal that publishes articles which contribute new
results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and
Control. The focus of this new journal is on all theoretical and numerical methods on soft
computing, mathematics and control theory with applications in science and industry. The
goal of this journal is to bring together researchers and practitioners from academia and
industry to focus on latest topics of soft computing, pure, applied and numerical mathematics
and control engineering, and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate new
algorithms, theorems, modelling results, research results, projects, surveying works and
industrial experiences that describe significant advances in Soft Computing, Mathematics and
Control Engineering
peer-reviewed and refereed open access journal that publishes articles which contribute new
results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and
Control. The focus of this new journal is on all theoretical and numerical methods on soft
computing, mathematics and control theory with applications in science and industry. The
goal of this journal is to bring together researchers and practitioners from academia and
industry to focus on latest topics of soft computing, pure, applied and numerical mathematics
and control engineering, and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate new
algorithms, theorems, modelling results, research results, projects, surveying works and
industrial experiences that describe significant advances in Soft Computing, Mathematics and
Control Engineering
Research Interests:
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering
Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering
Research Interests: Functional Analysis, Evolutionary algorithms, Control Theory, Embedded Systems, Discrete Mathematics, and 5 moreFeedback Control, Differential Geometry,Riemannian Geometry, Contact manifolds, Multi-resolution techniques to Fault Detection and Isolation (FDI), Fuzzy Set Theory, Fuzzy Logic and Applications, and Genetic algorithms and evolutionary computing
6th International Conference on Electrical and Electronics Engineering (ICEEE 2023) aims to bring together researchers and practitioners from academia and industry to focus on Electrical and Electronics Engineering advancements, recent... more
6th International Conference on Electrical and Electronics Engineering (ICEEE 2023) aims
to bring together researchers and practitioners from academia and industry to focus on Electrical
and Electronics Engineering advancements, recent systems and techniques in the broad field of
electrical Electronics Engineering.
to bring together researchers and practitioners from academia and industry to focus on Electrical
and Electronics Engineering advancements, recent systems and techniques in the broad field of
electrical Electronics Engineering.
Research Interests: Biochemical Engineering, Digital Signal Processing, Optimization techniques, Semiconductor Devices, Biomedical informatics, and 14 moreEmbedded Systems and Intelligent Robotics, Biomedical Instrumentation Engineering, Analog and digital Circuit Design, Non Conventional Energy Resources, Optical Communication Networks, System Modeling and Simulation, Antenna,Microwave and RF engineering, Aerospace Mechatronics and Avionics Systems, Information systems and network security, Advanced Power System and Control system, VLSI technology & Design, Sensor technology & Virtual Instrumentation, • Soft computing / Nano computing/ Grid computing, and Remote sensing and satellite communication
8th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques... more
8th International Conference on Emerging Trends in Electrical, Electronics &
Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners
from academia and industry to focus on recent systems and techniques in the broad field of
electrical, instrumentation and communication Engineering.
Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners
from academia and industry to focus on recent systems and techniques in the broad field of
electrical, instrumentation and communication Engineering.
Research Interests: Digital Signal Processing, Optimization techniques, Semiconductor Devices, Biomedical informatics, Biomedical Instrumentation, and 13 moreEmbedded Systems and Intelligent Robotics, Electrical Machines, Electrical Drives, Power Electronics, Analog and digital Circuit Design, Non Conventional Energy Resources, Optical Communication Networks, System Modeling and Simulation, Aerospace Mechatronics and Avionics Systems, Information systems and network security, Advanced Power System and Control system, VLSI technology & Design, Sensor technology & Virtual Instrumentation, • Soft computing / Nano computing/ Grid computing, and Remote sensing and satellite communication
Scope & Topics International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which... more
Scope & Topics
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering
Research Interests:
Scope & Topics International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which... more
Scope & Topics
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests:
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics
and control engineering, and establishing new collaborations in these areas.
and control engineering, and establishing new collaborations in these areas.
Research Interests: Control Systems Engineering, Mathematics, Applied Mathematics, History of Mathematics, Contract Law, and 14 moreMathematics Education, Soft Computing, Soft Computing Techniques, Philosophy of Mathematics Education, Computational Mathematics, Control Systems, Quality Control, Internal Control, Soft Computing and optimization, Mathematics and Statistics, Mesopotamian mathematics, Using Digital Technology for Learning Mathematics, Using Digital Technology for Teaching Mathematics, and Artificial Intelligent and Soft Computing Methodologies
A mathematical model is presented in this paper to study the dispersion of aerosols with and without chemical reaction in the presence of electric and magnetic field. The Taylor dispersion coefficient is determined and are numerically... more
A mathematical model is presented in this paper to study the dispersion of aerosols with and without chemical reaction in the presence of electric and magnetic field. The Taylor dispersion coefficient is determined and are numerically computed for different values of reaction rate, electric and Hartmann numbers. The results are depicted graphically and conclusions are drawn in the final section.
Research Interests:
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests: Control Systems Engineering, Mathematics, Control Theory, Optimal Control, Fuzzy set theory, and 10 moreSoft Computing, Soft Computing Techniques, Robust control, Digital Control, Computational Mathematics, Control Systems, Scientific Computing, Soft Computing and optimization, Mathematics and Statistics, and Artificial Intelligent and Soft Computing Methodologies
The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all optimization techniques. The proposed... more
The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all optimization techniques. The proposed 'Butterfly-Particle Swarm Optimization (Butterfly or BF-PSO)' is inspired by butterfly natural intelligence, character, behavior, intelligent network and intelligent communication during the nectar search process. The BF-PSO introduces new parameters such as sensitivity of butterfly (s), probability of food (nectar) (p), the degree of the node and the time varying probability coefficient (α). These parameters improve the searching ability, excellent convergence and the overall performance of the Butterfly-PSO effectivly. The BF-PSO optimizations results have been presented for various functions with the multi-dimension problems.
Research Interests: Mathematics, History of Mathematics, Mathematics Education, Soft Computing, Soft Computing Techniques, and 4 moreComputational Mathematics, Applications of soft computing techniques in Environmental and water Resources Engineering, Soft Computing and optimization, and Artificial Intelligent and Soft Computing Methodologies
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests: Control Systems Engineering, Mathematics, History of Mathematics, Philosophy Of Mathematics, Mathematics Education, and 9 moreFuzzy Logic, Control Engineering, Soft Computing, Fuzzy Logic Control, Soft Computing Techniques, Computational Mathematics, Control Systems, Soft Computing and optimization, and Artificial Intelligent and Soft Computing Methodologies
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied... more
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas .Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering.
Research Interests:
org/iceee/index Scope 5 th International Conference on Electrical and Electronics Engineering (ICEEE-2021) aims to bring together researchers and practitioners from academia and industry to focus on Electrical and Electronics Engineering... more
org/iceee/index Scope 5 th International Conference on Electrical and Electronics Engineering (ICEEE-2021) aims to bring together researchers and practitioners from academia and industry to focus on Electrical and Electronics Engineering advancements, recent systems and techniques in the broad field of electrical Electronics Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical and Electronics Engineering. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Research Interests:
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied... more
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas .Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering.
Research Interests:
org/eei/index Scope & Topics 6 th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2021) aims to bring together researchers and practitioners from academia and industry to focus on... more
org/eei/index Scope & Topics 6 th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2021) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques in the broad field of electrical, instrumentation and communication Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical Electronics & Instrumentation Engineering. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to
Research Interests:
Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft... more
Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modeling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering Topics of interest include, but are not limited to the following: Abstract Algebra and Applications Adaptive control Agriculture, environment, health applications Algorithms Applications of modeling in science and engineering Artificial Neural Networks (ANN)
Research Interests:
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering
Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering
Research Interests: Mathematics, Set Theory, Computer Science, Operations Research, Graph Theory, and 15 moreMathematics Education, Digital Media, Feedback (Education), Industrial Design, Fuzzy Logic, Hybrid Systems, Genetic Algorithms, Embedded Systems, Soft Computing, Scientific Reasoning, Nonlinear Control, Military, Real Time, Intuitionistic fuzzy sets, and Linear Regression
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering
Research Interests: Functional Analysis, Algorithms, Evolutionary algorithms, Tactile (Haptic) Feedback Control of Installation Aspects, Computational Complexity, and 15 moreControl Theory, Operations Research, Embedded Systems, Adaptive Control, Differential Geometry, Digital Control, Discrete Mathematics, Real and Complex Analysis, Multi-resolution techniques to Fault Detection and Isolation (FDI), Fuzzy Set Theory, Fuzzy Logic and Applications, Water Quality Modelling (COMPUTER MODELLING), Soft Computing Fuzzy Logic Genetic Algorithm and Inventory Control, Artificial Neural Networks (ANNs), Agriculture, environment, health applications, and Applications of modelling in science and engineering
In the industry, Multi-objectives problems are a big defy and they are also hard to be conquered by conventional methods. For this reason, heuristic algorithms become an executable choice when facing this kind of problems. The main... more
In the industry, Multi-objectives problems are a big defy and they are also hard to be conquered by conventional methods. For this reason, heuristic algorithms become an executable choice when facing this kind of problems. The main objective of this work is to investigate the use of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) technique using the real valued recombination and the real valued mutation in the tuning of the computed torque controller gains of a PUMA560 arm manipulator. The NSGA-II algorithm with real valued operators searches for the controller gains so that the six Integral of the Absolute Errors (IAE) in joint space are minimized. The implemented model under MATLAB allows an optimization of the Proportional-Derivative computed torque controller parameters while the cost functions and time are simultaneously minimized.. Moreover, experimental results also show that the real valued recombination and the real valued mutation operators can improve the performance of NSGA-II effectively.
Research Interests:
In this paper we have considered nonlinear fractional programming problem with multiple constraints. A pair of primal and dual for a special type of nonlinear fractional programming has been considered under fuzzy environment. Exponential... more
In this paper we have considered nonlinear fractional programming problem with multiple constraints. A pair of primal and dual for a special type of nonlinear fractional programming has been considered under fuzzy environment. Exponential membership function has been used to deal with the fuzziness. Duality results have been developed for the special type of nonlinear programming using exponential membership function. The method has been illustrated with numerical example. Genetic Algorithm as well as Fuzzy programming approach has been used to solve the problem.
Research Interests:
Environmental and sustainability concerns are developing the significance of distributed generation (DG) based on renewable energy sources. In this paper, dynamic responses investigation of grid connected wind turbine using permanent... more
Environmental and sustainability concerns are developing the significance of distributed generation (DG) based on renewable energy sources. In this paper, dynamic responses investigation of grid connected wind turbine using permanent magnet synchronous generator (PMSG) under variable wind speeds and load circumstances is carried out. In order to control of turbine output power using Fuzzy Logic controller (FLC) in comparison with PI controller is proposed. Furthermore, the pitch angle based on FLC using wind speed and active power as inputs, can have faster responses, thereby leading to smoother power curves, enhancement of dynamic performance of wind turbine and prevention of mechanical damages to PMSG. Inverter adjusted the DC link voltage and active power is fed by d-axis and reactive power is fed by q-axis (using P-Q control mode). Simulation of wind power generation system (WPGS) is carried out in Matlab/Simulink, and the results verify the correctness and feasibility of control strategy.
Research Interests:
4th International Conference on Soft Computing, Mathematics and Control (SMC 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft... more
4th International Conference on Soft Computing, Mathematics and Control (SMC 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Interests: Control Systems Engineering, Mathematics, Applied Mathematics, Software Engineering, Fuzzy Logic, and 7 moreSoft Computing, Software Development, Computational Mathematics, Discrete Mathematics, Software, Hybrid Power from solar and wind energy, and Artificial Intelligent and Soft Computing Methodologies
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied... more
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry.
Research Interests:
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests:
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry.
Research Interests:
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied... more
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests:
Reducing of pollutants with simultaneous increase of the gas turbine power, is always a fundamental aim of the Turbine technology. New developed structures and operating systems in the turbine production have been established. In the... more
Reducing of pollutants with simultaneous increase of the gas turbine power, is always a fundamental aim of the Turbine technology. New developed structures and operating systems in the turbine production have been established. In the meanwhile, burning instabilities are still appearing in these systems during a Cross-ignition process (CI), creating pollutants due to high flame temperatures, and are not yet completely investigated. The phenomena of a CI is taking place during operation of malty-burner combustion chambers, when one burner is extinguished and a particular volume of combustible mixture is formed in the distance between this burner and the adjacent lightened one, which considered to be as an ignition path. Cross ignition process should be performed along the ignition path in a particularly controlled small time. So that, no excessive quantities of combustible mixtures will be injected during this time in the combustion chamber. Otherwise, burning instabilities and mechanical wear will be occurred. Depending on this illustration, the Cross Ignition Time (CIT) of an extinguished burner, that will be considered as the evaluation measure for the entire cross-ignition process, should be Possibly as low as its normal ignition time. The main objective of this project is to reproduce constructive criteria for controlling of cross ignition process by influencing the mixing process and heat flux in a defined mixing zone existing along the ignition path.
Research Interests:
Research Interests:
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied... more
The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry.
Research Interests:
Driver's drowsiness is one of the major causes of serious accidents in road traffic. Thus, special effort in searching for better assistant technology has been paid. However, several existing approaches fail to work effectively as the... more
Driver's drowsiness is one of the major causes of serious accidents in road traffic. Thus, special effort in searching for better assistant technology has been paid. However, several existing approaches fail to work effectively as the head of a drowsy driver is usually in slanting state. Moreover, the shaking of vehicle or the driver's winking even makes the problem much more complicated. Anyway, head bend posture also signifies a drowsy state. Consequently, this paper proposes a novel approach by considering head nodding behaviour as an input in our detection model. After detecting a human face, some significant facial features are extracted; then, they are used to calculate the predetermined optimal parameters; finally, drowsiness is evaluated based on these thresholds. In our empirical experiments, the proposed algorithm can successfully and accurately detect 96.56% of cases.
Research Interests:
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and... more
International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas.
Research Interests: Algorithms, Computational Complexity, Control Theory, Adaptive Control, Differential Geometry, and 6 moreDigital Control, Computer Modelling, Artificial Neural Networks (ANNs), Abstract Algebra and Applications, Agriculture, environment, health applications, and Applications of modelling in science and engineering
Volatility Forecasting is an interesting challenging topic in current financial instruments as it is directly associated with profits. There are many risks and rewards directly associated with volatility. Hence forecasting volatility... more
Volatility Forecasting is an interesting challenging topic in current financial instruments as it is directly associated with profits. There are many risks and rewards directly associated with volatility. Hence forecasting volatility becomes most dispensable topic in finance. The GARCH distributions play an important role in the risk measurement and option pricing. The min motive of this paper is to measure the performance of GARCH techniques for forecasting volatility by using different distribution model. We have used 9 variations in distribution models that are used to forecast the volatility of a stock entity. The different GARCH distribution models observed in this paper are Std, Norm, SNorm, GED, SSTD, SGED, NIG, GHYP and JSU. Volatility is forecasted for 10 days in advance and values are compared with the actual values to find out the best distribution model for volatility forecast. From the results obtain it has been observed that GARCH with GED distribution models has outperformed all models.
Research Interests:
The purpose of this article is to determine the usefulness of the Graphics Processing Unit (GPU) calculations used to implement the Latent Semantic Indexing (LSI) reduction of the TERM-BY-DOCUMENT matrix. Considered reduction of the... more
The purpose of this article is to determine the usefulness of the Graphics Processing Unit (GPU) calculations used to implement the Latent Semantic Indexing (LSI) reduction of the TERM-BY-DOCUMENT matrix. Considered reduction of the matrix is based on the use of the SVD (Singular Value Decomposition) decomposition. A high computational complexity of the SVD decomposition-O(n 3), causes that a reduction of a large indexing structure is a difficult task. In this article there is a comparison of the time complexity and accuracy of the algorithms implemented for two different environments. The first environment is associated with the CPU and MATLAB R2011a. The second environment is related to graphics processors and the CULA library. The calculations were carried out on generally available benchmark matrices, which were combined to achieve the resulting matrix of high size. For both considered environments computations were performed for double and single precision data.
Research Interests:
An advanced direct torque control (DTC) technique using Model predictive control (MPC) is proposed for matrix converter (MC)-based permanent-magnet synchronous motor (PMSM) drive system, which reduces the torque ripples, does not need the... more
An advanced direct torque control (DTC) technique using Model predictive control (MPC) is proposed for matrix converter (MC)-based permanent-magnet synchronous motor (PMSM) drive system, which reduces the torque ripples, does not need the duty cycle calculation, and ensures the fixed switching frequency. Analytical expressions of change rates of torque and flux of PMSM as a function of MC – dqo components are derived. The predictive model of PMSM and MC is realized by means of State model. Then, the advanced MC-fed DTC algorithm is implemented based on Cost function evaluation. The simulation results exhibit remarkable torque ripple reduction with the help of MPC. As a result, the proposed strategy is proved to be effective in minimizing the torque ripples for MC-based PMSM drives. Keywords Direct torque control (DTC), matrix converter (MC), permanent-magnet synchronous motor (PMSM), Model predictive control (MPC), and Cost function
Research Interests:
Environmental and sustainability concerns are developing the significance of distributed generation (DG) based on renewable energy sources. In this paper, dynamic responses investigation of grid connected wind turbine using permanent... more
Environmental and sustainability concerns are developing the significance of distributed generation (DG) based on renewable energy sources. In this paper, dynamic responses investigation of grid connected wind turbine using permanent magnet synchronous generator (PMSG) under variable wind speeds and load circumstances is carried out. In order to control of turbine output power using Fuzzy Logic controller (FLC) in comparison with PI controller is proposed. Furthermore, the pitch angle based on FLC using wind speed and active power as inputs, can have faster responses, thereby leading to smoother power curves, enhancement of dynamic performance of wind turbine and prevention of mechanical damages to PMSG. Inverter adjusted the DC link voltage and active power is fed by d-axis and reactive power is fed by q-axis (using P-Q control mode). Simulation of wind power generation system (WPGS) is carried out in Matlab/Simulink, and the results verify the correctness and feasibility of control strategy.
Research Interests:
In this paper is proposed a new algorithm to construct S-Boxes over GF(28) with Branch Number value at least 3. This is an important property that guarantees a high diusion in the S-Box [12]. Also are introduced some defnition and... more
In this paper is proposed a new algorithm to construct S-Boxes over GF(28) with Branch Number value at least 3. This is an important property that guarantees a high diusion in the S-Box [12]. Also are introduced some defnition and properties that show the behavior of S-Boxes under the composition with affine functions. Finally is presented a comparision between this algorithm and the method proposed by Tavares [12]. 1 INTRODUCATION In his paper Communication Theory of Secrecy Systems", Claude Shannon defines confusion and diffusion as two essential properties for block cipher design. S-Boxes to be used in this cryptographic algorithms require the compliance of criteria such as Nonlinearity, Branch Number, Algebraic Degree and Differential Characteristic, which bring security against differential and linear cryptanalysis [9][10]. In 1994 Tavares [12] proposes a method to and S-Boxes with a desired value of Branch Number. The principal problem of this proposal is that the obtained S-Boxes can have a big number of fixed points and his Nonlinearity values were small to be used in Block Ciphers. In this paper we propose a new algorithm to construct S-Boxes with Branch Number at least 3. In this method the obtained S-Boxes doesn't have fixed points and his Nonlinearity values are acceptable. Also we present the definition of Parameter Set and introduce some properties that allow show when the parameter set of a S-Box is invariant under the composition with affine transformations. This have an special importance because we can obtain dynamic S-Boxes for Block Ciphers constructing one with good Parameter Set and making the composition with a_ne functions. 2 THEORETICAL ASPECTS In this section are presented some definitions related with S-boxes design that are very important for a better understanding of the paper.
Research Interests:
In this paper suggested an improve estimator for mean using Linex loss function and shows that the improved estimator dominates the Searls (1964) estimator underLinex loss function. The sufficient statistics can be used to find the... more
In this paper suggested an improve estimator for mean using Linex loss function and shows that the improved estimator dominates the Searls (1964) estimator underLinex loss function. The sufficient statistics can be used to find the uniformly minimum risk unbiased estimators. In this paper an improve estimation forµ 2 is suggested (which uses coefficient of variation) under Linex loss function. The mathematical expression of improve estimator of fourth power of mean is also obtained and an improve estimator for common mean in negative exponential distribution is also proposed under Linex loss function.Pandey and Malik (1994) considered the estimator y x w y w x w T 3 2 2 2 1 1 + + = ′ for common mean with the restriction. 1 3 2 1 = + + w w w Here considered the above estimator for 1 3 2 1 ≠ + + w w w and studied its property under Linex loss function. In this paper alsoconsidered the displaced exponential distribution under Linex loss function and suggested an improve estimator.
Research Interests:
The aim of this paper is to present some odd graceful graphs. In particular we show that an odd graceful labeling of the all subdivision of double triangular snakes (2 k ∆-snake). We also prove that the all subdivision of 2 1 m ∆-snake... more
The aim of this paper is to present some odd graceful graphs. In particular we show that an odd graceful labeling of the all subdivision of double triangular snakes (2 k ∆-snake). We also prove that the all subdivision of 2 1 m ∆-snake are odd graceful. Finally, we generalize the above two results (the all subdivision of 2 k m ∆-snake are odd graceful).
Research Interests:
Computing the minimum spanning tree of the graph is one of the fundamental computational problems. In this paper, we present a new parallel algorithm for computing the minimum spanning tree of an undirected weighted graph with n vertices... more
Computing the minimum spanning tree of the graph is one of the fundamental computational problems. In this paper, we present a new parallel algorithm for computing the minimum spanning tree of an undirected weighted graph with n vertices and m edges. This algorithm uses the cluster techniques to reduce the number of processors by fraction 1/ () f n and the parallel work by the fraction O (1 lo g (()) f n),where () f n is an arbitrary function. In the case () 1 f n = , the algorithm runs in logarithmic-time and use super linear work on EREWPRAM model. In general, the proposed algorithm is the simplest one.
Research Interests:
In the industry, Multi-objectives problems are a big defy and they are also hard to be conquered by conventional methods. For this reason, heuristic algorithms become an executable choice when facing this kind of problems. The main... more
In the industry, Multi-objectives problems are a big defy and they are also hard to be conquered by conventional methods. For this reason, heuristic algorithms become an executable choice when facing this kind of problems. The main objective of this work is to investigate the use of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) technique using the real valued recombination and the real valued mutation in the tuning of the computed torque controller gains of a PUMA560 arm manipulator. The NSGA-II algorithm with real valued operators searches for the controller gains so that the six Integral of the Absolute Errors (IAE) in joint space are minimized. The implemented model under MATLAB allows an optimization of the Proportional-Derivative computed torque controller parameters while the cost functions and time are simultaneously minimized.. Moreover, experimental results also show that the real valued recombination and the real valued mutation operators can improve the performance of NSGA-II effectively. KEYWORDS DEFY PD Computed Torque Control, Intelligent Control, PUMA560 arm manipulator, Multi-objective Optimization, NSGA-II algorithm, real valued recombination.
Research Interests:
Ring theory is one of the branches of the abstract algebra that has been broadly used in images. However, ring theory has not been very related with image segmentation. In this paper, we propose a new index of similarity among images... more
Ring theory is one of the branches of the abstract algebra that has been broadly used in images. However, ring theory has not been very related with image segmentation. In this paper, we propose a new index of similarity among images using rings and the entropy function. This new index was applied as a new stopping criterion to the Mean Shift Iterative Algorithm with the goal to reach a better segmentation. An analysis on the performance of the algorithm with this new stopping criterion is carried out. The obtained results proved that the new index is a suitable tool to compare images.
Research Interests:
In this paper, we show that the number of edges for any odd harmonious Eulerian graph is congruent to 0 or 2 (mod 4), and we found a counter example for the inverse of this statement is not true. We also proved that, the graphs which are... more
In this paper, we show that the number of edges for any odd harmonious Eulerian graph is congruent to 0 or 2 (mod 4), and we found a counter example for the inverse of this statement is not true. We also proved that, the graphs which are constructed by two copies of even cycle Cn sharing a common edge are odd harmonious. In addition, we obtained an odd harmonious labeling for the graphs which are constructed by two copies of cycle Cn sharing a common vertex when n is congruent to 0 (mod 4). Moreover, we show that, the Cartesian product of cycle graph Cm and path Pn for each) 4 (mod 0 , 2 ≡ ≥ m n are odd harmonious graphs. Finally many new families of odd harmonious graphs are introduced.
Research Interests:
Data mining consists of evolving set of techniques that can be used to extract valuable information and knowledge from massive volumes of data. This paper highlights the data mining techniques applied to mine a group of received staff... more
Data mining consists of evolving set of techniques that can be used to extract valuable information and knowledge from massive volumes of data. This paper highlights the data mining techniques applied to mine a group of received staff petitions through staff complaint mechanism in UN organization in Gaza. Staff complaint mechanism (feedback mechanism) is a mechanism that supports the staff members. The employees send complaints / petitions that face them by filling the requested details including the request type (complaint, question, suggestion, others, beneficiary or not categorized). The response unit receives the requests and categorize it, and finally prepares the reply then sends it back to the employee. The important thing is: after the employee receives the reply, the employee should indicate whether he/she is satisfied with it or not. So the period between request date and reply date may affects the feedback since the regular reply period must not exceed 7 days after receiving any request. In this paper we attempted to study and analyze the data received within 18 months. This data sample contains more than 6000 records that cover different employee requests types. Thus, we try to know the effects of delay of reply on the feedback received by complainant staff; furthermore, we need to know what kinds of staff that always ask questions and try to find the relationship between staff salary (according to grade) and nature of the request. Thus this paper gives insight on how data mining can be applied in finding the consequences of staff requests and needs and hence try to minimize these requests over the time.
Research Interests:
Data mining consists of evolving set of techniques that can be used to extract valuable information and knowledge from massive volumes of data. This paper highlights the data mining techniques applied to mine a group of received staff... more
Data mining consists of evolving set of techniques that can be used to extract valuable information and knowledge from massive volumes of data. This paper highlights the data mining techniques applied to mine a group of received staff petitions through staff complaint mechanism in UN organization in Gaza. Staff complaint mechanism (feedback mechanism) is a mechanism that supports the staff members. The employees send complaints / petitions that face them by filling the requested details including the request type (complaint, question, suggestion, others, beneficiary or not categorized) .
Research Interests: Data Mining, Opinion Mining (Data Mining), Educational Data Mining, Data mining (Data Analysis), Spatio Temporal Data Mining (Data Mining), and 12 moreGraph Data Mining, Distributed Data Mining, Data Warehousing and Data Mining, Privacy Preserving Data Mining, Data Mining – Concepts and Techniques, Current Trends in Data Mining, Big Data / Analytics / Data Mining, Data mining and Text mining, Data Mining Techniques, Data Mining in Higher Education, Data Mining Classification, and Data Mining and Business Intelligence
Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we study the behavior of entropy in digital images through an iterative... more
Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we study the behavior of entropy in digital images through an iterative algorithm of mean shift filtering. The order of a digital image in gray levels is defined. The behavior of Shannon entropy is analyzed and then compared, taking into account the number of iterations of our algorithm, with the maximum entropy that could be achieved under the same order. The use of equivalence classes it induced, which allow us to interpret entropy as a hyper-surface in real mdimensional space. The difference of the maximum entropy of order n and the entropy of the image is used to group the the iterations, in order to caractrizes the performance of the algorithm.
Research Interests:
Driver's drowsiness is one of the major causes of serious accidents in road traffic. Thus, special effort in searching for better assistant technology has been paid. However, several existing approaches fail to work effectively as the... more
Driver's drowsiness is one of the major causes of serious accidents in road traffic. Thus, special effort in searching for better assistant technology has been paid. However, several existing approaches fail to work effectively as the head of a drowsy driver is usually in slanting state. Moreover, the shaking of vehicle or the driver's winking even makes the problem much more complicated. Anyway, head bend posture also signifies a drowsy state. Consequently, this paper proposes a novel approach by considering head nodding behaviour as an input in our detection model. After detecting a human face, some significant facial features are extracted; then, they are used to calculate the predetermined optimal parameters; finally, drowsiness is evaluated based on these thresholds. In our empirical experiments, the proposed algorithm can successfully and accurately detect 96.56% of cases.
Research Interests:
Driver's drowsiness is one of the major causes of serious accidents in road traffic. Thus, special effort in searching for better assistant technology has been paid. However, several existing approaches fail to work effectively as the... more
Driver's drowsiness is one of the major causes of serious accidents in road traffic. Thus, special effort in searching for better assistant technology has been paid. However, several existing approaches fail to work effectively as the head of a drowsy driver is usually in slanting state. Moreover, the shaking of vehicle or the driver's winking even makes the problem much more complicated. Anyway, head bend posture also signifies a drowsy state. Consequently, this paper proposes a novel approach by considering head nodding behaviour as an input in our detection model. After detecting a human face, some significant facial features are extracted; then, they are used to calculate the predetermined optimal parameters; finally, drowsiness is evaluated based on these thresholds. In our empirical experiments, the proposed algorithm can successfully and accurately detect 96.56% of cases.
Research Interests:
This paper presents a new approach to determine the optimal proportional-integral-derivative controller parameters for the speed control of a separately excited DC motor using firefly optimization technique. Firefly algorithm is one of... more
This paper presents a new approach to determine the optimal proportional-integral-derivative controller
parameters for the speed control of a separately excited DC motor using firefly optimization technique.
Firefly algorithm is one of the recent evolutionary methods which are inspired by the Firefly’s behavior in
nature. The firefly optimization technique is successfully implemented using MATLAB software. A
comparison is drawn from the results obtained between the linear quadratic regulator and firefly
optimization techniques. Simulation results are presented to illustrate the performance and validity of the
design method.
parameters for the speed control of a separately excited DC motor using firefly optimization technique.
Firefly algorithm is one of the recent evolutionary methods which are inspired by the Firefly’s behavior in
nature. The firefly optimization technique is successfully implemented using MATLAB software. A
comparison is drawn from the results obtained between the linear quadratic regulator and firefly
optimization techniques. Simulation results are presented to illustrate the performance and validity of the
design method.
Research Interests:
This paper introduces SL5 Object, the Simpler Level 5 Object Expert System Language. SL5 Object is a rule-based language for specifying expert systems.This paper first introduces the concept of expert systems and production systems, as... more
This paper introduces SL5 Object, the Simpler Level 5 Object Expert System Language. SL5 Object is a
rule-based language for specifying expert systems.This paper first introduces the concept of expert systems
and production systems, as well as the typical architecture of such a system. Then it presents a thorough
outline of the SL5 Object Language: the syntax of rules and Objects, allowed constructs, the module
structure. It also presents the execution cycle of the SL5 Object engine, as well as a number of methods to
influence the default progress of this cycle.Finally, this paper introduces an example of Cars diagnoses
problems to illustrate the capabilities of SL5 Object and the concepts presented.
rule-based language for specifying expert systems.This paper first introduces the concept of expert systems
and production systems, as well as the typical architecture of such a system. Then it presents a thorough
outline of the SL5 Object Language: the syntax of rules and Objects, allowed constructs, the module
structure. It also presents the execution cycle of the SL5 Object engine, as well as a number of methods to
influence the default progress of this cycle.Finally, this paper introduces an example of Cars diagnoses
problems to illustrate the capabilities of SL5 Object and the concepts presented.
Research Interests:
This paper illustrates a Comparative study of highly non-linear, complex and multivariable Inverted Pendulum (IP) system on Cart using different soft computing techniques. Firstly, a Fuzzy logic controller was designed using triangular... more
This paper illustrates a Comparative study of highly non-linear, complex and multivariable Inverted
Pendulum (IP) system on Cart using different soft computing techniques. Firstly, a Fuzzy logic controller
was designed using triangular and trapezoidal shape Membership functions (MF's). The trapezoidal fuzzy
controller shows better results in comparison to triangular fuzzy controller. Secondly, an Adaptive neuro
fuzzy inference system (ANFIS) controller was used to optimize the results obtained from trapezoidal fuzzy
controller. Finally, the study illustrates the effect of variation in shape of MF's on Performance parameters
of the IP system. The results shows that ANFIS controller provides better results in comparison to both
fuzzy controller.
Pendulum (IP) system on Cart using different soft computing techniques. Firstly, a Fuzzy logic controller
was designed using triangular and trapezoidal shape Membership functions (MF's). The trapezoidal fuzzy
controller shows better results in comparison to triangular fuzzy controller. Secondly, an Adaptive neuro
fuzzy inference system (ANFIS) controller was used to optimize the results obtained from trapezoidal fuzzy
controller. Finally, the study illustrates the effect of variation in shape of MF's on Performance parameters
of the IP system. The results shows that ANFIS controller provides better results in comparison to both
fuzzy controller.
Research Interests:
Reducing of pollutants with simultaneous increase of the gas turbine power, is always a fundamental aim of the Turbine technology. New developed structures and operating systems in the turbine production have been established. In the... more
Reducing of pollutants with simultaneous increase of the gas turbine power, is always a fundamental aim
of the Turbine technology. New developed structures and operating systems in the turbine production have
been established. In the meanwhile, burning instabilities are still appearing in these systems during a
Cross-ignition process (CI), creating pollutants due to high flame temperatures, and are not yet completely
investigated.
The phenomena of a CI is taking place during operation of malty-burner combustion chambers, when one
burner is extinguished and a particular volume of combustible mixture is formed in the distance between
this burner and the adjacent lightened one, which considered to be as an ignition path.
Cross ignition process should be performed along the ignition path in a particularly controlled small time.
So that, no excessive quantities of combustible mixtures will be injected during this time in the combustion
chamber. Otherwise, burning instabilities and mechanical wear will be occurred.
Depending on this illustration, the Cross Ignition Time (CIT) of an extinguished burner, that will be
considered as the evaluation measure for the entire cross-ignition process, should be Possibly as low as its
normal ignition time.
The main objective of this project is to reproduce constructive criteria for controlling of cross ignition
process by influencing the mixing process and heat flux in a defined mixing zone existing along the ignition
path.
of the Turbine technology. New developed structures and operating systems in the turbine production have
been established. In the meanwhile, burning instabilities are still appearing in these systems during a
Cross-ignition process (CI), creating pollutants due to high flame temperatures, and are not yet completely
investigated.
The phenomena of a CI is taking place during operation of malty-burner combustion chambers, when one
burner is extinguished and a particular volume of combustible mixture is formed in the distance between
this burner and the adjacent lightened one, which considered to be as an ignition path.
Cross ignition process should be performed along the ignition path in a particularly controlled small time.
So that, no excessive quantities of combustible mixtures will be injected during this time in the combustion
chamber. Otherwise, burning instabilities and mechanical wear will be occurred.
Depending on this illustration, the Cross Ignition Time (CIT) of an extinguished burner, that will be
considered as the evaluation measure for the entire cross-ignition process, should be Possibly as low as its
normal ignition time.
The main objective of this project is to reproduce constructive criteria for controlling of cross ignition
process by influencing the mixing process and heat flux in a defined mixing zone existing along the ignition
path.
Research Interests:
The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all optimization techniques. The proposed... more
The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all optimization techniques. The proposed ‘Butterfly- Particle Swarm Optimization (Butterfly or BF-PSO)’ is inspired by butterfly natural intelligence, character, behavior, intelligent network and intelligent communication during the nectar search process. The BF-PSO introduces new parameters such as sensitivity of butterfly (s), probability of food (nectar) (p), the degree of the node and the time varying probability coefficient (α). These parameters improve the searching ability, excellent convergence and the overall performance of the Butterfly-PSO effectivly. The BF-PSO optimizations results have been presented for various functions with the multi-dimension problems.
Research Interests: Optimization techniques, Sensitivity Analysis, Reinforcement sensitivity theory, Arts-based methodologies, Gluten Sensitivity, and 15 moreNectar Larcenists, Qualitative Methodologies, Gender sensitivity, Nectar, Sensitivity, Nectar Robbing, Human Anatomy and Physiology Teaching Methodologies, Particle Swarm Optimization PSO), Artificial Intelligent and Soft Computing Methodologies, Training Methodologies, Nectar Analysis, Butterfly-PSO (BF-PSO), Butterfly communication network, Probability of nectar, and efficient methodologies
Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we study the behavior of entropy in digital images through an iterative... more
Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we study the behavior of entropy in digital images through an iterative algorithm of mean shift filtering. The order of a digital image in gray levels is defined. The behavior of Shannon entropy is analyzed and then compared, taking into account the number of iterations of our algorithm, with the maximum entropy that could be achieved under the same order. The
use of equivalence classes it induced, which allow us to interpret entropy as a hyper-surface in real mdimensional space. The difference of the maximum entropy of order n and the entropy of the image is used to group the the iterations, in order to caractrizes the performance of the algorithm.
use of equivalence classes it induced, which allow us to interpret entropy as a hyper-surface in real mdimensional space. The difference of the maximum entropy of order n and the entropy of the image is used to group the the iterations, in order to caractrizes the performance of the algorithm.
Research Interests: Image segmentation, Entropy, Image processing, medical image segmentation, PET-CT, High Entropy Alloys, Entropy generation, and 18 moreColor Image Segmentation, Medical Image Segmentation, Thermodynamics Irreversibility and Entropy, Mean Shift Tracker, Mean shift, Concept Formation/categorization, Stimulus Meaningfulness, Variables That Enhance the Formation of Equivalence Classes, Breast Cancer detection using image segmentation for mammogfraphical images, Segmentation of Medical Images, Document Image Segmentation, Reorganization of Equivalence Classes, Equivalence Classes, Logarithmic correction to BH entropy as Noether charge, Meaning Shifts, Mean Shift Clustering, Mean Shift Algorithm, Relative Decision Entropy, Energetic relative entropy, and Maximum entropy of order n
7th International Conference on Soft Computing, Mathematics and Control (SCMC 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft... more
7th International Conference on Soft Computing, Mathematics and Control (SCMC 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Research Interests: Functional Analysis, Algorithms, Evolutionary algorithms, Control Theory, Genetic Algorithms, and 9 moreFuzzy set theory, Embedded Systems, Adaptive Control, Robust control, Digital Control, Fault Detection and Isolation, Real and Complex Analysis, Process Control and Instrumentation, and Systems and automation
Applied Mathematics and Sciences: An International Journal (MathSJ) aims to publish original research papers and survey articles on all areas of pure mathematics, theoretical applied mathematics, mathematical physics, theoretical... more
Applied Mathematics and Sciences: An International Journal (MathSJ) aims to publish original research papers and survey articles on all areas of pure mathematics, theoretical applied mathematics, mathematical physics, theoretical mechanics, probability and mathematical statistics, and theoretical biology. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics.
Research Interests: Applied Mathematics, Functional Analysis, Algorithms, Statistics, Evolutionary algorithms, and 15 moreComputational Complexity, Control Theory, Hybrid Systems, Fuzzy set theory, Embedded Systems, Adaptive Control, Differential Geometry, Mathematical Modelling, Digital Control, Discrete Mathematics, Abstract Algebra, Markov chains, Feedback Control, Applied Sciences, and Artificial Neural Networks (ANNs)
6th International Conference on Electrical and Electronics Engineering (ICEEE 2023) aims to bring together researchers and practitioners from academia and industry to focus on Electrical and Electronics Engineering advancements, recent... more
6th International Conference on Electrical and Electronics Engineering (ICEEE 2023) aims to bring together researchers and practitioners from academia and industry to focus on Electrical and Electronics Engineering advancements, recent systems and techniques in the broad field of
electrical Electronics Engineering.
electrical Electronics Engineering.
Research Interests: Mechatronics, Biochemical Engineering, Power System, Digital Signal Processing, Optimization techniques, and 8 moreSatellite Communications, Optical Networks, Biomedical informatics, Control Systems, Mechatronics Engineering, RF/Microwave Engineering, Vlsi Technology, and System Modeling and Simulation
8th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques... more
8th International Conference on Emerging Trends in Electrical, Electronics & Instrumentation Engineering (EEI 2023) aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques in the broad field of electrical, instrumentation and communication Engineering.