Yosza Dasril | Universiti Tun Hussein Onn Malaysia (original) (raw)
Papers by Yosza Dasril
Journal of Physics: Conference Series
TELKOMNIKA (Telecommunication Computing Electronics and Control)
It is generally known that almost all filled function methods for one-dimensional unconstrained g... more It is generally known that almost all filled function methods for one-dimensional unconstrained global optimization problems have computational weaknesses. This paper introduces a relatively new parameter free filled function, which creates a non-ascending bridge from any local isolated minimizer to other first local isolated minimizer with lower or equal function value. The algorithm's unprecedented function can be used to determine all extreme and inflection points between the two considered consecutive local isolated minimizers. The proposed method never fails to carry out its job. The results of the several testing examples have shown the capability and efficiency of this algorithm while at the same time, proving that the computational weaknesses of the filled function methods can be overcomed.
Far East Journal of Mathematical Sciences (FJMS)
TELKOMNIKA (Telecommunication Computing Electronics and Control)
Journal of Physics: Conference Series
Solving unconstrained optimization problems using Newton method requires calculating Newton's dir... more Solving unconstrained optimization problems using Newton method requires calculating Newton's direction, which involves inverse Hessian matrices. Once the order of Hessian matrices is large, it may be impossible to store the inverse of the Hessian matrices using the direct method. To overcome this problem, we used a point iterative method as an inner iteration in finding Newton direction. Therefore in this paper, we proposed a combination between Newton method and successive overrelaxation (SOR) point iterative method for solving large scale unconstrained optimization problems in which the Hessian of the Newton direction is arrowhead matrices. To calculate and validate the performance of the proposed method, we used a combination of Newton method with Gauss-Seidel point iteration and Jacobi point iteration scheme as a reference method. The proposed method provides results that are more efficient compared to the reference methods in terms of execution time and a number of iteration.
Scientific Reports
In this study, a critical evaluation of analyte dielectric properties in a microvolume was undert... more In this study, a critical evaluation of analyte dielectric properties in a microvolume was undertaken, using a microwave biochemical sensor based on a circular substrate integrated waveguide (CsIW) topology. these dielectric properties were numerically investigated based on the resonant perturbation method, as this method provides the best sensing performance as a real-time biochemical detector. To validate these findings, shifts of the resonant frequency in the presence of aqueous solvents were compared with an ideal permittivity. The sensor prototype required a 2.5 µL volume of the liquid sample each time, which still offered an overall accuracy of better than 99.06%, with an average error measurement of ±0.44%, compared with the commercial and ideal permittivity values. The unloaded Q u factor of the circular substrate-integrated waveguide (CsIW) sensor achieved more than 400 to ensure a precise measurement. At 4.4 GHz, a good agreement was observed between simulated and measured results within a broad frequency range, from 1 to 6 GHz. The proposed sensor, therefore, offers high sensitivity detection, a simple structural design, a fast-sensing response, and cost-effectiveness. The proposed sensor in this study will facilitate real improvements in any material characterization applications such as pharmaceutical, bio-sensing, and food processing applications. The field of material characterization in enclosures has generated a major interest in research due to its wide application in various industries. Recent developments in microwave sensor technology have heightened the need for more accurate instruments for characterizing materials in order to fulfil the demands of industry such as chemical composition analysis, food processing monitoring, agriculture-based research, pharmaceutical detection, and bio-sensing 1. Knowledge of material properties is, of course, crucial for any understanding of proper scientific information. The dielectric characteristics of physical and chemical materials and the biomechanism of certain reactions need to be studied extensively in order to conduct an initial evaluation of materials used. Numerous studies have attempted to demonstrate, and various methods have been developed to produce high-efficiency sensors for fast detection, precise measurement, and reliable sensing capabilities 2-8. For example, reflection, transmission/reflection, resonator, and resonant perturbation methods 9. These types of methods can be realized with one or two-port network systems based on the specification and functionality of the sensor itself. Each method, nevertheless, is limited to specific frequency bands, selective physical properties of materials, and a narrow application by its own constraint 10,11. Furthermore, these group of microwave methods are depending on S-parameters behaviour to detect and extract the properties of material. To be exact, the change frequency shifting of S-parameters and the E-fields distribution on sensor structure would reflect the accuracy and sensitivity of the sensor. However, number of studies show that significant differences do exist, in a way to sense and characterize the material properties. This technique is called Surface Plasmon Resonance (SPR). Basically, SPR is an optical
SN Computer Science
We find that finding the unconstrained optimizer for large-scale problems with the Newton method ... more We find that finding the unconstrained optimizer for large-scale problems with the Newton method can be very expensive. Therefore, in this paper, we developed a new efficient method for solving large-scale unconstrained optimization problems with block diagonal Hessian matrices to reduce the cost of computing Newton's direction. This method is a combination of the Newton method and the 2-point explicit group successive-over relaxation (2EGSOR) block iterative method. To calculate the performance of the developed method, we used a combination of the Newton method with Gauss-Seidel (Newton-GS) point iteration and the Newton method with successive-over relaxation (Newton-SOR) point iteration as reference methods. The numerical experiment has proven that the developed algorithms generate results that are more efficient compared to the reference methods with less execution time and fewer iterations. Through 90 test cases, we observe that the speedup ratio for our proposed method is up to 659.87 times faster compared to the Newton-SOR method and up to 1963.57 times more rapidly than the Newton-GS method.
Journal of Physics: Conference Series
Finding the large scale unconstrained minimizer using Newton method has required the calculation ... more Finding the large scale unconstrained minimizer using Newton method has required the calculation of large and complicated linear systems results from solving the Newton direction. Therefore, in this paper, we propose a method for solving large scale unconstrained optimization problems with tridiagonal Hessian matrices to reduce the complexity of calculating Newton direction. Our proposed method was a combination of Newton method and Accelerated Over Relaxation (AOR) iterative method. To evaluate the performance of the proposed method, combination of Newton method with Gauss-Seidel iteration and Newton method with Successive Over Relaxation (SOR) iteration were used as reference method. Finally, the numerical experiment illustrated that the proposed method produce results that are more efficient compared to the reference methods with less execution time and minimum number of iterations.
THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)
This paper showed how Newton's method can be extended to the several interval Newton methods for ... more This paper showed how Newton's method can be extended to the several interval Newton methods for locating and bounding multiple and simple roots of a once continuously differentiable function in a given interval. Most of the discussion focused on the theoretical aspect and it had been supported by some numerical evidence. This paper proved that the proposed methods never fail to converge.
TELKOMNIKA (Telecommunication Computing Electronics and Control)
Journal of Physics: Conference Series
Numerous numerical methods have been used to solve unconstrained optimization problems. The Expli... more Numerous numerical methods have been used to solve unconstrained optimization problems. The Explicit Group iteration is one of the numerical methods that has an advantage of the efficient block iteration scheme for solving any linear system. In this paper we applied a combination of the Newton method with two-point Explicit Group (2-point EG) iterative scheme for solving large scale unconstrained optimization problems. In order to evaluate the performance of this method, combination between Newton method with classical Iterative methods namely Jacobi and Gauss-Seidel iterations were used as reference method. The numerical results show that our proposed method is more efficient than the reference method in terms of execution time, number of iteration and absolute error.
This paper discusses the randomness and normality tests to the set of points which are obtained b... more This paper discusses the randomness and normality tests to the set of points which are obtained by splitting an interval under consideration into several subintervals for verifying that the optimization problem constitutes a Wiener process. Then, by using the optimization probabilistic algorithm, a best subinterval can be chosen for unimodality test and will be continued with a simple local search
Journal of Science and Technology, Sep 9, 2011
In the development of transport, storage and distribution design within supply chain, great empha... more In the development of transport, storage and distribution design within supply chain, great emphasis is put on the planning of low task consuming material flows. The fast and efficient way of handling and storing components, raw materials, semifinished and finished products play a significant role in this process. Therefore, one of the most important issues in storage and transport processes is the formation of unit loads. During the placement into the unit load formation device, there are two important aspects: one of the utilization of the maximum volume and the second is the quickest method of the placement. Our aim is to review the major factors involved in the optimization method of the unit load formation. The solution variants are considered for the objective functions for the maximal use of space and/or minimal loading time. We show a method for the optimization of the process with the objective functions under the proper constraints.
In this paper, we proposed a simple way to find model reduction of
Abstrak Dalam makalah ini diperkenalkan suatu kaedah yang berpandukan pada sekumpulan kekangan te... more Abstrak Dalam makalah ini diperkenalkan suatu kaedah yang berpandukan pada sekumpulan kekangan tertentu yang dijelmakan tanpa melibatkan pekali Lagrange kepada set titik sehingga teknik pengoptimuman tak berkekangan boleh digunakan bagi penyelesaian masalah pengaturcaraan quadratik dalam kasus dua dimensi yang melibatkan rantau tersaur tertutup dan cembung sahaja.
Journal of Physics: Conference Series
TELKOMNIKA (Telecommunication Computing Electronics and Control)
It is generally known that almost all filled function methods for one-dimensional unconstrained g... more It is generally known that almost all filled function methods for one-dimensional unconstrained global optimization problems have computational weaknesses. This paper introduces a relatively new parameter free filled function, which creates a non-ascending bridge from any local isolated minimizer to other first local isolated minimizer with lower or equal function value. The algorithm's unprecedented function can be used to determine all extreme and inflection points between the two considered consecutive local isolated minimizers. The proposed method never fails to carry out its job. The results of the several testing examples have shown the capability and efficiency of this algorithm while at the same time, proving that the computational weaknesses of the filled function methods can be overcomed.
Far East Journal of Mathematical Sciences (FJMS)
TELKOMNIKA (Telecommunication Computing Electronics and Control)
Journal of Physics: Conference Series
Solving unconstrained optimization problems using Newton method requires calculating Newton's dir... more Solving unconstrained optimization problems using Newton method requires calculating Newton's direction, which involves inverse Hessian matrices. Once the order of Hessian matrices is large, it may be impossible to store the inverse of the Hessian matrices using the direct method. To overcome this problem, we used a point iterative method as an inner iteration in finding Newton direction. Therefore in this paper, we proposed a combination between Newton method and successive overrelaxation (SOR) point iterative method for solving large scale unconstrained optimization problems in which the Hessian of the Newton direction is arrowhead matrices. To calculate and validate the performance of the proposed method, we used a combination of Newton method with Gauss-Seidel point iteration and Jacobi point iteration scheme as a reference method. The proposed method provides results that are more efficient compared to the reference methods in terms of execution time and a number of iteration.
Scientific Reports
In this study, a critical evaluation of analyte dielectric properties in a microvolume was undert... more In this study, a critical evaluation of analyte dielectric properties in a microvolume was undertaken, using a microwave biochemical sensor based on a circular substrate integrated waveguide (CsIW) topology. these dielectric properties were numerically investigated based on the resonant perturbation method, as this method provides the best sensing performance as a real-time biochemical detector. To validate these findings, shifts of the resonant frequency in the presence of aqueous solvents were compared with an ideal permittivity. The sensor prototype required a 2.5 µL volume of the liquid sample each time, which still offered an overall accuracy of better than 99.06%, with an average error measurement of ±0.44%, compared with the commercial and ideal permittivity values. The unloaded Q u factor of the circular substrate-integrated waveguide (CsIW) sensor achieved more than 400 to ensure a precise measurement. At 4.4 GHz, a good agreement was observed between simulated and measured results within a broad frequency range, from 1 to 6 GHz. The proposed sensor, therefore, offers high sensitivity detection, a simple structural design, a fast-sensing response, and cost-effectiveness. The proposed sensor in this study will facilitate real improvements in any material characterization applications such as pharmaceutical, bio-sensing, and food processing applications. The field of material characterization in enclosures has generated a major interest in research due to its wide application in various industries. Recent developments in microwave sensor technology have heightened the need for more accurate instruments for characterizing materials in order to fulfil the demands of industry such as chemical composition analysis, food processing monitoring, agriculture-based research, pharmaceutical detection, and bio-sensing 1. Knowledge of material properties is, of course, crucial for any understanding of proper scientific information. The dielectric characteristics of physical and chemical materials and the biomechanism of certain reactions need to be studied extensively in order to conduct an initial evaluation of materials used. Numerous studies have attempted to demonstrate, and various methods have been developed to produce high-efficiency sensors for fast detection, precise measurement, and reliable sensing capabilities 2-8. For example, reflection, transmission/reflection, resonator, and resonant perturbation methods 9. These types of methods can be realized with one or two-port network systems based on the specification and functionality of the sensor itself. Each method, nevertheless, is limited to specific frequency bands, selective physical properties of materials, and a narrow application by its own constraint 10,11. Furthermore, these group of microwave methods are depending on S-parameters behaviour to detect and extract the properties of material. To be exact, the change frequency shifting of S-parameters and the E-fields distribution on sensor structure would reflect the accuracy and sensitivity of the sensor. However, number of studies show that significant differences do exist, in a way to sense and characterize the material properties. This technique is called Surface Plasmon Resonance (SPR). Basically, SPR is an optical
SN Computer Science
We find that finding the unconstrained optimizer for large-scale problems with the Newton method ... more We find that finding the unconstrained optimizer for large-scale problems with the Newton method can be very expensive. Therefore, in this paper, we developed a new efficient method for solving large-scale unconstrained optimization problems with block diagonal Hessian matrices to reduce the cost of computing Newton's direction. This method is a combination of the Newton method and the 2-point explicit group successive-over relaxation (2EGSOR) block iterative method. To calculate the performance of the developed method, we used a combination of the Newton method with Gauss-Seidel (Newton-GS) point iteration and the Newton method with successive-over relaxation (Newton-SOR) point iteration as reference methods. The numerical experiment has proven that the developed algorithms generate results that are more efficient compared to the reference methods with less execution time and fewer iterations. Through 90 test cases, we observe that the speedup ratio for our proposed method is up to 659.87 times faster compared to the Newton-SOR method and up to 1963.57 times more rapidly than the Newton-GS method.
Journal of Physics: Conference Series
Finding the large scale unconstrained minimizer using Newton method has required the calculation ... more Finding the large scale unconstrained minimizer using Newton method has required the calculation of large and complicated linear systems results from solving the Newton direction. Therefore, in this paper, we propose a method for solving large scale unconstrained optimization problems with tridiagonal Hessian matrices to reduce the complexity of calculating Newton direction. Our proposed method was a combination of Newton method and Accelerated Over Relaxation (AOR) iterative method. To evaluate the performance of the proposed method, combination of Newton method with Gauss-Seidel iteration and Newton method with Successive Over Relaxation (SOR) iteration were used as reference method. Finally, the numerical experiment illustrated that the proposed method produce results that are more efficient compared to the reference methods with less execution time and minimum number of iterations.
THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)
This paper showed how Newton's method can be extended to the several interval Newton methods for ... more This paper showed how Newton's method can be extended to the several interval Newton methods for locating and bounding multiple and simple roots of a once continuously differentiable function in a given interval. Most of the discussion focused on the theoretical aspect and it had been supported by some numerical evidence. This paper proved that the proposed methods never fail to converge.
TELKOMNIKA (Telecommunication Computing Electronics and Control)
Journal of Physics: Conference Series
Numerous numerical methods have been used to solve unconstrained optimization problems. The Expli... more Numerous numerical methods have been used to solve unconstrained optimization problems. The Explicit Group iteration is one of the numerical methods that has an advantage of the efficient block iteration scheme for solving any linear system. In this paper we applied a combination of the Newton method with two-point Explicit Group (2-point EG) iterative scheme for solving large scale unconstrained optimization problems. In order to evaluate the performance of this method, combination between Newton method with classical Iterative methods namely Jacobi and Gauss-Seidel iterations were used as reference method. The numerical results show that our proposed method is more efficient than the reference method in terms of execution time, number of iteration and absolute error.
This paper discusses the randomness and normality tests to the set of points which are obtained b... more This paper discusses the randomness and normality tests to the set of points which are obtained by splitting an interval under consideration into several subintervals for verifying that the optimization problem constitutes a Wiener process. Then, by using the optimization probabilistic algorithm, a best subinterval can be chosen for unimodality test and will be continued with a simple local search
Journal of Science and Technology, Sep 9, 2011
In the development of transport, storage and distribution design within supply chain, great empha... more In the development of transport, storage and distribution design within supply chain, great emphasis is put on the planning of low task consuming material flows. The fast and efficient way of handling and storing components, raw materials, semifinished and finished products play a significant role in this process. Therefore, one of the most important issues in storage and transport processes is the formation of unit loads. During the placement into the unit load formation device, there are two important aspects: one of the utilization of the maximum volume and the second is the quickest method of the placement. Our aim is to review the major factors involved in the optimization method of the unit load formation. The solution variants are considered for the objective functions for the maximal use of space and/or minimal loading time. We show a method for the optimization of the process with the objective functions under the proper constraints.
In this paper, we proposed a simple way to find model reduction of
Abstrak Dalam makalah ini diperkenalkan suatu kaedah yang berpandukan pada sekumpulan kekangan te... more Abstrak Dalam makalah ini diperkenalkan suatu kaedah yang berpandukan pada sekumpulan kekangan tertentu yang dijelmakan tanpa melibatkan pekali Lagrange kepada set titik sehingga teknik pengoptimuman tak berkekangan boleh digunakan bagi penyelesaian masalah pengaturcaraan quadratik dalam kasus dua dimensi yang melibatkan rantau tersaur tertutup dan cembung sahaja.