Pub Date : 2023-11-24DOI: 10.11648/j.ijse.20230701.12
Kedir Lemma Arega
{"title":"Design and Implementation of an IPsec VPN Tunnel to Connect the Head Office and Branch Office of Hijra Bank","authors":"Kedir Lemma Arega","doi":"10.11648/j.ijse.20230701.12","DOIUrl":"https://doi.org/10.11648/j.ijse.20230701.12","url":null,"abstract":"","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"2014 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-16DOI: 10.11648/j.ijse.20230701.11
Yanjing Li
: Spiking neural networks (SNNs) is a type of biological neural network model, which is more biologically plausible and computationally powerful than traditional artificial neural networks (ANNs). SNNs can achieve the same goals as ANNs, and can build a large-scale network structure (i.e. deep spiking neural network) to accomplish complex tasks. However, training deep spiking neural network is difficult due to the non-differentiable nature of spike events, and it requires much computation time during the training period. In this paper, a time-reduced model adopting two methods is presented for reducing the computation time of a deep spiking neural network (i.e. approximating the spike response function by the piecewise linear method, and choosing the suitable number of sub-synapses). The experimental results show that the methods of piecewise linear approximation and choosing the suitable number of sub-synapses is effective. This method can not only reduce the training time but also simplify the network structure. With the piecewise linear approximation method, the half of computation time of the original model can be reduced by at least. With the rule of choosing the number of sub-synapses, the computation time of less than one-tenth of the original model can be reduced for XOR and Iris tasks.
{"title":"Time-Reduced Model for Multilayer Spiking Neural Networks","authors":"Yanjing Li","doi":"10.11648/j.ijse.20230701.11","DOIUrl":"https://doi.org/10.11648/j.ijse.20230701.11","url":null,"abstract":": Spiking neural networks (SNNs) is a type of biological neural network model, which is more biologically plausible and computationally powerful than traditional artificial neural networks (ANNs). SNNs can achieve the same goals as ANNs, and can build a large-scale network structure (i.e. deep spiking neural network) to accomplish complex tasks. However, training deep spiking neural network is difficult due to the non-differentiable nature of spike events, and it requires much computation time during the training period. In this paper, a time-reduced model adopting two methods is presented for reducing the computation time of a deep spiking neural network (i.e. approximating the spike response function by the piecewise linear method, and choosing the suitable number of sub-synapses). The experimental results show that the methods of piecewise linear approximation and choosing the suitable number of sub-synapses is effective. This method can not only reduce the training time but also simplify the network structure. With the piecewise linear approximation method, the half of computation time of the original model can be reduced by at least. With the rule of choosing the number of sub-synapses, the computation time of less than one-tenth of the original model can be reduced for XOR and Iris tasks.","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":" 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91415492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-09DOI: 10.11648/j.ijse.20220602.11
V. Teymoori, N. Arish, M. Moradi, Pedram Ghalebani
: The development and improvement of the control of electric motors has drawn the researchers' attention to the implementation of all types of controllers in motors, especially the permanent magnets, because of advantages such as high-power density in lower volumes, lower losses, higher efficiency, high speed performance range and etc. in comparison with other motors, as well as extensive use in the industries including robotics, military, medical
{"title":"Permanent Magnet Synchronous Motor (PMSM) Speed Response Correction Using Fuzzy-PID Self-Tuning Controller Under Sudden and Gradual Load Variation","authors":"V. Teymoori, N. Arish, M. Moradi, Pedram Ghalebani","doi":"10.11648/j.ijse.20220602.11","DOIUrl":"https://doi.org/10.11648/j.ijse.20220602.11","url":null,"abstract":": The development and improvement of the control of electric motors has drawn the researchers' attention to the implementation of all types of controllers in motors, especially the permanent magnets, because of advantages such as high-power density in lower volumes, lower losses, higher efficiency, high speed performance range and etc. in comparison with other motors, as well as extensive use in the industries including robotics, military, medical","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79403290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-09DOI: 10.11648/j.ijse.20210501.15
N. B. Ngang, B. Kazeem, U. Ikechukwu, Aneke Nnamere Ezekiel
The epileptic power supply from the national grid due to instability is a concern to energy consumer. This instability in power supply experienced in power distribution network could be minimized by introducing Optimized Genetic Algorithm (OGA). It is achieved by characterizing 33KV distribution network, running the load flow of the characterized 33KV distribution network, determining the distribution losses from the load flow. Minimizing the determined losses in 33kv distribution network using (OGA), and designing SIMULINK model for improving loss minimization in 33kv power distribution network using OGA. Finally, validating and justifying the percentage of loss reduction in improving loss minimization in 33kv power distribution network without and with OGA. The results obtained are conventional percentage power loss in 33KV distribution network, 75%, while that when OGA is incorporated in the system is 72.9%. With these results obtained, the percentage improvement in loss reduction in 33KV distribution network when OGA is used is 2.1%. The conventional percentage of power loss in 33KV distribution network is 80%. The percentage power loss in the distribution network now is 72.9%; hence, power loss reduction in distribution network. Unmitigated power loss was 76.7% when OGA is introduced we had 74.63%. The percentage power loss in distribution network in bus 8 is 81.7% while that when OGA is applied is 79.49%. The percentage power loss in bus 9 of 33KV distribution network is 86.7%. Finally, when optimized genetic algorithm is incorporated in the system the percentage power loss in the network was reduced to 84.36%.
{"title":"Improving Loss Minimization in 33kv Power Distribution Network Using Optimized Genetic Algorithm","authors":"N. B. Ngang, B. Kazeem, U. Ikechukwu, Aneke Nnamere Ezekiel","doi":"10.11648/j.ijse.20210501.15","DOIUrl":"https://doi.org/10.11648/j.ijse.20210501.15","url":null,"abstract":"The epileptic power supply from the national grid due to instability is a concern to energy consumer. This instability in power supply experienced in power distribution network could be minimized by introducing Optimized Genetic Algorithm (OGA). It is achieved by characterizing 33KV distribution network, running the load flow of the characterized 33KV distribution network, determining the distribution losses from the load flow. Minimizing the determined losses in 33kv distribution network using (OGA), and designing SIMULINK model for improving loss minimization in 33kv power distribution network using OGA. Finally, validating and justifying the percentage of loss reduction in improving loss minimization in 33kv power distribution network without and with OGA. The results obtained are conventional percentage power loss in 33KV distribution network, 75%, while that when OGA is incorporated in the system is 72.9%. With these results obtained, the percentage improvement in loss reduction in 33KV distribution network when OGA is used is 2.1%. The conventional percentage of power loss in 33KV distribution network is 80%. The percentage power loss in the distribution network now is 72.9%; hence, power loss reduction in distribution network. Unmitigated power loss was 76.7% when OGA is introduced we had 74.63%. The percentage power loss in distribution network in bus 8 is 81.7% while that when OGA is applied is 79.49%. The percentage power loss in bus 9 of 33KV distribution network is 86.7%. Finally, when optimized genetic algorithm is incorporated in the system the percentage power loss in the network was reduced to 84.36%.","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88168687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-09DOI: 10.11648/j.ijse.20210501.16
Md. Zayedul Hasan, A. Asif, Md. Tareque Rahaman, S. Akter
This research work was intended to discover the effect of super white washing process temperature and OBA (optical brightening agent) concentration on various properties of stretch denim fabric. Different properties like tensile strength, tear strength, dimensional stability, pilling resistance, hand feel performance, color fastness to washing, color fastness to perspiration, color fastness to light were investigated. All experimental tests were carried out according to the ISO (International Organization for Standardization) standards. Stretch denim fabric treated with super white washing process demonstrated better results regarding tensile strength, tear strength and dimensional stability for 35°C temperature and 30g/L OBA concentration along with illustrated moderate to good ratings in different color fastness properties after gradual increase of processing OBA concentration and temperature; although no significant change was observed regarding the grade of color change and color staining for color fastness to wash, color fastness to perspiration and color fastness to light with respect to stretch denim fabric treated with super white washing. The grade for pilling resistance and hand feel performance was comparatively good after the elevation of processing temperature and OBA concentration. The GSM (gram per square meter) of stretch denim fabric also changed accordingly after increasing the OBA concentration and washing process temperature for super white washed stretch denim fabric. The dimensional stability of stretch denim fabric also altered after going through different OBA concentration and washing process temperature.
{"title":"Effect of Super White Washing Process Temperature and Optical Brightening Agent Concentration on Various Properties of Stretch Denim Fabric","authors":"Md. Zayedul Hasan, A. Asif, Md. Tareque Rahaman, S. Akter","doi":"10.11648/j.ijse.20210501.16","DOIUrl":"https://doi.org/10.11648/j.ijse.20210501.16","url":null,"abstract":"This research work was intended to discover the effect of super white washing process temperature and OBA (optical brightening agent) concentration on various properties of stretch denim fabric. Different properties like tensile strength, tear strength, dimensional stability, pilling resistance, hand feel performance, color fastness to washing, color fastness to perspiration, color fastness to light were investigated. All experimental tests were carried out according to the ISO (International Organization for Standardization) standards. Stretch denim fabric treated with super white washing process demonstrated better results regarding tensile strength, tear strength and dimensional stability for 35°C temperature and 30g/L OBA concentration along with illustrated moderate to good ratings in different color fastness properties after gradual increase of processing OBA concentration and temperature; although no significant change was observed regarding the grade of color change and color staining for color fastness to wash, color fastness to perspiration and color fastness to light with respect to stretch denim fabric treated with super white washing. The grade for pilling resistance and hand feel performance was comparatively good after the elevation of processing temperature and OBA concentration. The GSM (gram per square meter) of stretch denim fabric also changed accordingly after increasing the OBA concentration and washing process temperature for super white washed stretch denim fabric. The dimensional stability of stretch denim fabric also altered after going through different OBA concentration and washing process temperature.","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90771160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-15DOI: 10.11648/J.IJSE.20210501.14
Yong Gao, Chuanfeng Wei
Low drop-out (LDO) voltage regulators are widely used in many portable applications, such as cell phones, laptops, and earplugs. However, the design and simulation of the circuit takes a long time. Hence, the behavioral model for an LDO regulator is greatly needed. In this paper, the hybrid modeling method has been illustrated for generating a behavioral model for an LDO regulator circuit. The hybrid modeling method integrates a table-based modeling method and a circuit simplification method for generating an LDO linear regulator behavioral model. Based on research of the automation topologies and algorithms a behavioral model generation tool for an LDO linear regulator, LDOCad, is also described, including the software architecture and different modules of LDOCad. This tool provides the modeler, or circuit designer, with an approach to quickly and automatically generate a behavioral model for an LDO linear regulator. When the netlist processing algorithm, the table generation algorithm, and the modeled node and topology device extraction algorithm are executed, the hybrid model can be generated through the model topology formulator. The algorithms are generic and robust. The models tested demonstrate an accurate match with the performance of the original circuits and achieve from a 5 to 19 times speed improvement in simulations.
{"title":"LDOCad – A Behavioral Model Generation Tool for an LDO Linear Regulator","authors":"Yong Gao, Chuanfeng Wei","doi":"10.11648/J.IJSE.20210501.14","DOIUrl":"https://doi.org/10.11648/J.IJSE.20210501.14","url":null,"abstract":"Low drop-out (LDO) voltage regulators are widely used in many portable applications, such as cell phones, laptops, and earplugs. However, the design and simulation of the circuit takes a long time. Hence, the behavioral model for an LDO regulator is greatly needed. In this paper, the hybrid modeling method has been illustrated for generating a behavioral model for an LDO regulator circuit. The hybrid modeling method integrates a table-based modeling method and a circuit simplification method for generating an LDO linear regulator behavioral model. Based on research of the automation topologies and algorithms a behavioral model generation tool for an LDO linear regulator, LDOCad, is also described, including the software architecture and different modules of LDOCad. This tool provides the modeler, or circuit designer, with an approach to quickly and automatically generate a behavioral model for an LDO linear regulator. When the netlist processing algorithm, the table generation algorithm, and the modeled node and topology device extraction algorithm are executed, the hybrid model can be generated through the model topology formulator. The algorithms are generic and robust. The models tested demonstrate an accurate match with the performance of the original circuits and achieve from a 5 to 19 times speed improvement in simulations.","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89710424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-08DOI: 10.11648/j.ijse.20210501.13
Magy Kandil Salwa Helmy Ahmed Refaey
In Nuclear Power plants, Reactivity Induced Accidents can lead to sever accidents. Rod Ejection Accidents are part of Reactivity Induced Accidents that induced through driven by reactivity insertion due to many failures. Thus, safety analysis of core behaviour under many external rod reactivities in Nuclear power plants are mandatory by regulators or safety authorities. In this research, a new dynamic model is proposed for core safety analysis under Rod Ejection Accidents. Thermal Power and other core parameters predictions are the most important goals for any reactor operation policy, during all periods and specifically at zero power to avoid severe accidents. The proposed model involves of a point kinetics explanation of neutronics combined with thermal hydraulic dynamics in the reactor core to predict its variation of parameters during transients using MATLAB environment. The proposed model is validated through comparing with the transient dynamic responses obtained through previous research for a chosen design of NuScale small modular reactor. In addition, the proposed model is verified through determining the dynamic reactor responses of Rod Ejection Accidents at hot zero power with many perturbations of different control rod ejection. The Performed safety analysis results of validation and the verification demonstrate that, the proposed model represents the reactor core behavior during the rod ejection transients with good prediction of thermal power of core peaks. Moreover, it allowed large explorations of core safety parameters and predicting the performance of its rector core during Rod Ejection Accidents under critical Hot zero power.
{"title":"Predication of the SMR Critical Core Performance Under Zero Power","authors":"Magy Kandil Salwa Helmy Ahmed Refaey","doi":"10.11648/j.ijse.20210501.13","DOIUrl":"https://doi.org/10.11648/j.ijse.20210501.13","url":null,"abstract":"In Nuclear Power plants, Reactivity Induced Accidents can lead to sever accidents. Rod Ejection Accidents are part of Reactivity Induced Accidents that induced through driven by reactivity insertion due to many failures. Thus, safety analysis of core behaviour under many external rod reactivities in Nuclear power plants are mandatory by regulators or safety authorities. In this research, a new dynamic model is proposed for core safety analysis under Rod Ejection Accidents. Thermal Power and other core parameters predictions are the most important goals for any reactor operation policy, during all periods and specifically at zero power to avoid severe accidents. The proposed model involves of a point kinetics explanation of neutronics combined with thermal hydraulic dynamics in the reactor core to predict its variation of parameters during transients using MATLAB environment. The proposed model is validated through comparing with the transient dynamic responses obtained through previous research for a chosen design of NuScale small modular reactor. In addition, the proposed model is verified through determining the dynamic reactor responses of Rod Ejection Accidents at hot zero power with many perturbations of different control rod ejection. The Performed safety analysis results of validation and the verification demonstrate that, the proposed model represents the reactor core behavior during the rod ejection transients with good prediction of thermal power of core peaks. Moreover, it allowed large explorations of core safety parameters and predicting the performance of its rector core during Rod Ejection Accidents under critical Hot zero power.","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89032552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-30DOI: 10.11648/j.ijse.20210501.12
F. Deba, A. Rehman, Z. Khan, Saleem Iqbal, Naveed Sheikh
In this article, an attempt has been made to study the behavior of non-Newtonian viscoelastic model of a Williamson fluid flow problem containing nanoparticles and is assumed to be flowing over a stretching sheet stretched along its surface in both directions with the same constant surface stretching velocity. The boundary layer governing equations of the conservation of mass, conservation of linear momentum and the energy are first modeled into a set of nonlinear coupled partial differential equations along with the appropriate boundary conditions. A numerical study of impact of nanofluid flow over a stretching sheet is tabulated. The basic equations of Williamson fluid are modeled with the help of Navier-Stokes equations for momentum and heat transfer. With the assistance of appropriate similarity transformations these pair of PEDs is transformed into up-to-date system of coupled nonlinear ODEs. These transformed systems of equations are evaluated numerically with the assistance of shooting method using forth order. The dominant physical properties for system of equations of the model that is wall shear stress, and the coefficient of skin friction are acquired. The behavior of nondimensional velocity and thermal flow profiles are discussed for the important involved dimensionless parameters like the Williamson fluid parameter and the nanoparticles volume fraction through tables and graphs.
{"title":"Flow of a Williamson Fluid over a Stretching Sheet Containing Nanoparticles","authors":"F. Deba, A. Rehman, Z. Khan, Saleem Iqbal, Naveed Sheikh","doi":"10.11648/j.ijse.20210501.12","DOIUrl":"https://doi.org/10.11648/j.ijse.20210501.12","url":null,"abstract":"In this article, an attempt has been made to study the behavior of non-Newtonian viscoelastic model of a Williamson fluid flow problem containing nanoparticles and is assumed to be flowing over a stretching sheet stretched along its surface in both directions with the same constant surface stretching velocity. The boundary layer governing equations of the conservation of mass, conservation of linear momentum and the energy are first modeled into a set of nonlinear coupled partial differential equations along with the appropriate boundary conditions. A numerical study of impact of nanofluid flow over a stretching sheet is tabulated. The basic equations of Williamson fluid are modeled with the help of Navier-Stokes equations for momentum and heat transfer. With the assistance of appropriate similarity transformations these pair of PEDs is transformed into up-to-date system of coupled nonlinear ODEs. These transformed systems of equations are evaluated numerically with the assistance of shooting method using forth order. The dominant physical properties for system of equations of the model that is wall shear stress, and the coefficient of skin friction are acquired. The behavior of nondimensional velocity and thermal flow profiles are discussed for the important involved dimensionless parameters like the Williamson fluid parameter and the nanoparticles volume fraction through tables and graphs.","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85157158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-23DOI: 10.11648/J.IJSE.20210501.11
Sinitsyn Igor Nikolaevich, Sinitsyn Vladimir Igorevich, Korepanov Edward Rudolfovich, Konashenkova Tatyana Dmitirievna
For filtering problems in StSHA under nonGaussian ShD methodological and algorithmically WL support is developed. 3 types of filters are considered: KBF (WLKBF), LPF (WLLPF) and SOLF (WLSOLF). These filters have the following advantages: on-line regime, high accuracy and possibility of algorithmically description of complex ShD. Wavelet filter modifications are based on Galerkin method and Haar wavelet expansions. WLF unlike KBF, LPF and SOLF do not need to integrate system of ordinary differential Eqs. These filters must solve system of linear algebraic Eqs with constant coefficients. KBF (WLKBF) and SOLF (WLSOLF) are recommended for StSHA with additive ShD whereas LPF (WLLPF) are recommended for StSHA with parametric and additive ShD. Basic applications are: on-line identification and calibration of nonstationary processes in StSHA of ShD. Methods are illustrated by example of 3 dimensional differential linear information control system at complex ShD. Basic algorithms and error analysis for KBF (WLKBF) and LPF (WLLPF) are presented and 15 Figure; illustrate filters peculiarities for small and fin damping. These filters allow to estimate the accumulation effects for systematic and random errors. Results may be generalized for filtration, extrapolation with interpolation problems in StSHA and multiple ShD.
{"title":"Wavelet Filtering in Shock Stochastic Systems with High Availability","authors":"Sinitsyn Igor Nikolaevich, Sinitsyn Vladimir Igorevich, Korepanov Edward Rudolfovich, Konashenkova Tatyana Dmitirievna","doi":"10.11648/J.IJSE.20210501.11","DOIUrl":"https://doi.org/10.11648/J.IJSE.20210501.11","url":null,"abstract":"For filtering problems in StSHA under nonGaussian ShD methodological and algorithmically WL support is developed. 3 types of filters are considered: KBF (WLKBF), LPF (WLLPF) and SOLF (WLSOLF). These filters have the following advantages: on-line regime, high accuracy and possibility of algorithmically description of complex ShD. Wavelet filter modifications are based on Galerkin method and Haar wavelet expansions. WLF unlike KBF, LPF and SOLF do not need to integrate system of ordinary differential Eqs. These filters must solve system of linear algebraic Eqs with constant coefficients. KBF (WLKBF) and SOLF (WLSOLF) are recommended for StSHA with additive ShD whereas LPF (WLLPF) are recommended for StSHA with parametric and additive ShD. Basic applications are: on-line identification and calibration of nonstationary processes in StSHA of ShD. Methods are illustrated by example of 3 dimensional differential linear information control system at complex ShD. Basic algorithms and error analysis for KBF (WLKBF) and LPF (WLLPF) are presented and 15 Figure; illustrate filters peculiarities for small and fin damping. These filters allow to estimate the accumulation effects for systematic and random errors. Results may be generalized for filtration, extrapolation with interpolation problems in StSHA and multiple ShD.","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87051311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.11648/j.ijse.20210502.14
M. Hussaini, M. Scholz
{"title":"A Natural Sequence of Socio-Technical Transition Pathways","authors":"M. Hussaini, M. Scholz","doi":"10.11648/j.ijse.20210502.14","DOIUrl":"https://doi.org/10.11648/j.ijse.20210502.14","url":null,"abstract":"","PeriodicalId":14477,"journal":{"name":"International Journal of Systems Engineering","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80238363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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