World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering最新文献
Pub Date : 2017-07-03DOI: 10.15406/eetoaj.2018.02.00013
Win Thandar Soe, Innocent Mpawenimana, M. Fazio, C. Belleudy, A. Z. Ya
Intelligent electronic equipment and automation network is the brain of high-tech energy management systems in critical role of smart homes dominance. Smart home is a technology integration for greater comfort, autonomy, reduced cost, and energy saving as well. These services can be provided to home owners for managing their home appliances locally or remotely and consequently allow them to automate intelligently and responsibly their consumption by individual or collective control systems. In this study, three smart plugs are described and one of them tested on typical household appliances. This article proposes to collect the data from the wireless technology and to extract some smart data for energy management system. This smart data is to quantify for three kinds of load: intermittent load, phantom load and continuous load. Phantom load is a waste power that is one of unnoticed power of each appliance while connected or disconnected to the main. Intermittent load and continuous load take in to consideration the power and using time of home appliances. By analysing the classification of loads, this smart data will be provided to reduce the communication of wireless sensor network for energy management system.
{"title":"Energy Management System and Interactive Functions of Smart Plug for Smart Home","authors":"Win Thandar Soe, Innocent Mpawenimana, M. Fazio, C. Belleudy, A. Z. Ya","doi":"10.15406/eetoaj.2018.02.00013","DOIUrl":"https://doi.org/10.15406/eetoaj.2018.02.00013","url":null,"abstract":"Intelligent electronic equipment and automation network is the brain of high-tech energy management systems in critical role of smart homes dominance. Smart home is a technology integration for greater comfort, autonomy, reduced cost, and energy saving as well. These services can be provided to home owners for managing their home appliances locally or remotely and consequently allow them to automate intelligently and responsibly their consumption by individual or collective control systems. In this study, three smart plugs are described and one of them tested on typical household appliances. This article proposes to collect the data from the wireless technology and to extract some smart data for energy management system. This smart data is to quantify for three kinds of load: intermittent load, phantom load and continuous load. Phantom load is a waste power that is one of unnoticed power of each appliance while connected or disconnected to the main. Intermittent load and continuous load take in to consideration the power and using time of home appliances. By analysing the classification of loads, this smart data will be provided to reduce the communication of wireless sensor network for energy management system.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76559376","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}
In Wireless Sensor Network (WSN), the main limitation is generally inimitable energy consumption during processing of the sensor nodes. Cluster head (CH) election is one of the main issues that can reduce the energy consumption. Therefore, discovering energy saving routing protocol is the focused area for research. In this paper, fuzzy-based energy aware routing protocol is presented, which enhances the stability and network lifetime of the network. Fuzzy logic ensures the well-organized selection of CH by taking four linguistic variables that are concentration, energy, centrality, and distance to base station (BS). The results show that the proposed protocol shows better results in requisites of stability and throughput of the network.
{"title":"Performance Analysis of ERA Using Fuzzy Logic in Wireless Sensor Network","authors":"Kamalpreet Kaur, H. Singh, Vikas Khullar","doi":"10.5281/ZENODO.1131523","DOIUrl":"https://doi.org/10.5281/ZENODO.1131523","url":null,"abstract":"In Wireless Sensor Network (WSN), the main limitation is generally inimitable energy consumption during processing of the sensor nodes. Cluster head (CH) election is one of the main issues that can reduce the energy consumption. Therefore, discovering energy saving routing protocol is the focused area for research. In this paper, fuzzy-based energy aware routing protocol is presented, which enhances the stability and network lifetime of the network. Fuzzy logic ensures the well-organized selection of CH by taking four linguistic variables that are concentration, energy, centrality, and distance to base station (BS). The results show that the proposed protocol shows better results in requisites of stability and throughput of the network.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78217103","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}
Voltage sag, voltage swell, high-frequency noise and voltage transients are kinds of disturbances in power quality. They are also known as power quality events. Equipment used in the industry nowadays has become more sensitive to these events with the increasing complexity of equipment. This leads to the importance of distributing clean power quality to the consumer. To provide better service, the best analysis on power quality is very vital. Thus, this paper presents the events detection focusing on voltage sag and swell. The method is developed by applying time domain signal analysis using wavelet transform approach in MATLAB. Four types of mother wavelet namely Haar, Dmey, Daubechies, and Symlet are used to detect the events. This project analyzed real interrupted signal obtained from 22 kV transmission line in Skudai, Johor Bahru, Malaysia. The signals will be decomposed through the wavelet mothers. The best mother is the one that is capable to detect the time location of the event accurately.
{"title":"Detection Of Voltage Sag And Voltage Swell In Power Quality Using Wavelet Transforms","authors":"N. Ramlee","doi":"10.5281/ZENODO.1131637","DOIUrl":"https://doi.org/10.5281/ZENODO.1131637","url":null,"abstract":"Voltage sag, voltage swell, high-frequency noise and voltage transients are kinds of disturbances in power quality. They are also known as power quality events. Equipment used in the industry nowadays has become more sensitive to these events with the increasing complexity of equipment. This leads to the importance of distributing clean power quality to the consumer. To provide better service, the best analysis on power quality is very vital. Thus, this paper presents the events detection focusing on voltage sag and swell. The method is developed by applying time domain signal analysis using wavelet transform approach in MATLAB. Four types of mother wavelet namely Haar, Dmey, Daubechies, and Symlet are used to detect the events. This project analyzed real interrupted signal obtained from 22 kV transmission line in Skudai, Johor Bahru, Malaysia. The signals will be decomposed through the wavelet mothers. The best mother is the one that is capable to detect the time location of the event accurately.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88477304","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}
Doubly-fed induction generator (DFIG) is currently the choice for many wind turbines. These generators, when connected to the grid through a converter, is subjected to varied power system conditions like voltage variation, frequency variation, short circuit fault conditions, etc. Further, many countries like Canada, Germany, UK, Scotland, etc. have distinct grid codes relating to wind turbines. Accordingly, following the network faults, wind turbines have to supply a definite reactive current. To satisfy the requirements including reactive current capability, an optimum electrical design becomes a mandate for DFIG to function. This paper intends to optimize the equivalent circuit parameters of an electrical design for satisfactory DFIG performance. Direct search method has been used for optimization of the parameters. The variables selected include electromagnetic core dimensions (diameters and stack length), slot dimensions, radial air gap between stator and rotor and winding copper cross section area. Optimization for 2 MW DFIG has been executed separately for three objective functions - maximum reactive power capability (Case I), maximum efficiency (Case II) and minimum weight (Case III). In the optimization analysis program, voltage variations (10%), power factor- leading and lagging (0.95), speeds for corresponding to slips (-0.3 to +0.3) have been considered. The optimum designs obtained for objective functions were compared. It can be concluded that direct search method of optimization helps in determining an optimum electrical design for each objective function like efficiency or reactive power capability or weight minimization.
{"title":"Optimization of Doubly Fed Induction Generator Equivalent Circuit Parameters by Direct Search Method","authors":"M. Rao","doi":"10.5281/zenodo.1130672","DOIUrl":"https://doi.org/10.5281/zenodo.1130672","url":null,"abstract":"Doubly-fed induction generator (DFIG) is currently the choice for many wind turbines. These generators, when connected to the grid through a converter, is subjected to varied power system conditions like voltage variation, frequency variation, short circuit fault conditions, etc. Further, many countries like Canada, Germany, UK, Scotland, etc. have distinct grid codes relating to wind turbines. Accordingly, following the network faults, wind turbines have to supply a definite reactive current. To satisfy the requirements including reactive current capability, an optimum electrical design becomes a mandate for DFIG to function. This paper intends to optimize the equivalent circuit parameters of an electrical design for satisfactory DFIG performance. Direct search method has been used for optimization of the parameters. The variables selected include electromagnetic core dimensions (diameters and stack length), slot dimensions, radial air gap between stator and rotor and winding copper cross section area. Optimization for 2 MW DFIG has been executed separately for three objective functions - maximum reactive power capability (Case I), maximum efficiency (Case II) and minimum weight (Case III). In the optimization analysis program, voltage variations (10%), power factor- leading and lagging (0.95), speeds for corresponding to slips (-0.3 to +0.3) have been considered. The optimum designs obtained for objective functions were compared. It can be concluded that direct search method of optimization helps in determining an optimum electrical design for each objective function like efficiency or reactive power capability or weight minimization.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82026830","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}
This paper presents an optimal state feedback controller based on Linear Quadratic Regulator (LQR) for a two-rotor aero-dynamical system (TRAS). TRAS is a highly nonlinear multi-input multi-output (MIMO) system with two degrees of freedom and cross coupling. There are two parameters that define the behavior of LQR controller: state weighting matrix and control weighting matrix. The two parameters influence the performance of LQR. Particle Swarm Optimization (PSO) is proposed to optimally tune weighting matrices of LQR. The major concern of using LQR controller is to stabilize the TRAS by making the beam move quickly and accurately for tracking a trajectory or to reach a desired altitude. The simulation results were carried out in MATLAB/Simulink. The system is decoupled into two single-input single-output (SISO) systems. Comparing the performance of the optimized proportional, integral and derivative (PID) controller provided by INTECO, results depict that LQR controller gives a better performance in terms of both transient and steady state responses when PSO is performed.
提出了一种基于线性二次型调节器(LQR)的双转子气动系统最优状态反馈控制器。TRAS是一种高度非线性的两自由度交叉耦合多输入多输出(MIMO)系统。定义LQR控制器行为的参数有两个:状态加权矩阵和控制加权矩阵。这两个参数影响LQR的性能。提出了粒子群算法(PSO)来优化LQR加权矩阵。使用LQR控制器的主要问题是通过使光束快速准确地移动以跟踪轨迹或达到所需高度来稳定TRAS。仿真结果在MATLAB/Simulink中进行。该系统被解耦成两个单输入单输出(SISO)系统。对比INTECO提供的优化后的比例积分导数(proportional, integral and derivative, PID)控制器的性能，结果表明LQR控制器在执行粒子群优化时，无论在瞬态响应还是稳态响应方面都具有更好的性能。
{"title":"Optimal Tuning of Linear Quadratic Regulator Controller Using a Particle Swarm Optimization for Two-Rotor Aerodynamical System","authors":"Ayad Al-Mahturi, H. Wahid","doi":"10.5281/ZENODO.1128899","DOIUrl":"https://doi.org/10.5281/ZENODO.1128899","url":null,"abstract":"This paper presents an optimal state feedback controller based on Linear Quadratic Regulator (LQR) for a two-rotor aero-dynamical system (TRAS). TRAS is a highly nonlinear multi-input multi-output (MIMO) system with two degrees of freedom and cross coupling. There are two parameters that define the behavior of LQR controller: state weighting matrix and control weighting matrix. The two parameters influence the performance of LQR. Particle Swarm Optimization (PSO) is proposed to optimally tune weighting matrices of LQR. The major concern of using LQR controller is to stabilize the TRAS by making the beam move quickly and accurately for tracking a trajectory or to reach a desired altitude. The simulation results were carried out in MATLAB/Simulink. The system is decoupled into two single-input single-output (SISO) systems. Comparing the performance of the optimized proportional, integral and derivative (PID) controller provided by INTECO, results depict that LQR controller gives a better performance in terms of both transient and steady state responses when PSO is performed.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86632361","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}
With the rapid increase of grid-connected PV systems over the last decades, genuine challenges have arisen for engineers and professionals of energy field in the planning and operation of existing distribution networks with the integration of new generation sources. However, the conventional distribution network, in its design was not expected to receive other generation outside the main power supply. The tools generally used to analyze the networks become inefficient and cannot take into account all the constraints related to the operation of grid-connected PV systems. Some of these constraints are voltage control difficulty, reverse power flow, and especially voltage unbalance which could be due to the poor distribution of single-phase PV systems in the network. In order to analyze the impact of the connection of small and large number of PV systems to the distribution networks, this paper presents an efficient optimization tool that minimizes voltage unbalance in three-phase distribution networks with active and reactive power injections from the allocation of single-phase and three-phase PV plants. Reactive power can be generated or absorbed using the available capacity and the adjustable power factor of the inverter. Good reduction of voltage unbalance can be achieved by reactive power control of the PV systems. The presented tool is based on the three-phase current injection method and the PV systems are modeled via an equivalent circuit. The primal-dual interior point method is used to obtain the optimal operating points for the systems.
{"title":"An Efficient Tool for Mitigating Voltage Unbalance with Reactive Power Control of Distributed Grid-Connected Photovoltaic Systems","authors":"Malinwo Estone Ayikpa","doi":"10.5281/ZENODO.1128826","DOIUrl":"https://doi.org/10.5281/ZENODO.1128826","url":null,"abstract":"With the rapid increase of grid-connected PV systems over the last decades, genuine challenges have arisen for engineers and professionals of energy field in the planning and operation of existing distribution networks with the integration of new generation sources. However, the conventional distribution network, in its design was not expected to receive other generation outside the main power supply. The tools generally used to analyze the networks become inefficient and cannot take into account all the constraints related to the operation of grid-connected PV systems. Some of these constraints are voltage control difficulty, reverse power flow, and especially voltage unbalance which could be due to the poor distribution of single-phase PV systems in the network. In order to analyze the impact of the connection of small and large number of PV systems to the distribution networks, this paper presents an efficient optimization tool that minimizes voltage unbalance in three-phase distribution networks with active and reactive power injections from the allocation of single-phase and three-phase PV plants. Reactive power can be generated or absorbed using the available capacity and the adjustable power factor of the inverter. Good reduction of voltage unbalance can be achieved by reactive power control of the PV systems. The presented tool is based on the three-phase current injection method and the PV systems are modeled via an equivalent circuit. The primal-dual interior point method is used to obtain the optimal operating points for the systems.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78615801","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 : 2017-01-01DOI: 10.17706/IJCCE.2017.6.3.201-211
H. Ouerghi, Olfa Mourali, E. Zagrouba
In this paper, we propose a novel multimodal MRI and CT images fusion method based on Multi-resolution Singular Value Decomposition (MSVD) and Modified Pulse Coupled Neural Network (MPCNN).Firstly, the input pre-registered MRI and CT images are decomposed into high frequency (HF) and low frequency (LF) sub-bands by using the MSVD transform. Then, the MPCNN model is applied on each LF sub-bands. The proposed method can adaptively determine the linking strength of the MPCNN model. After that, LF coefficients are combined based on the output of MPCNN coefficients while HF coefficients are fused by using the maximum selection rule. Finally, the inverse MSVD is applied to reconstruct the fused image. Visual effect and objective evaluation criteria are used to evaluate the performance of our approach for nine pairs of MRI and CT images. The experimental results demonstrate that the proposed method has a better performance than other current methods.
{"title":"Multimodal Medical Image Fusion Using Modified PCNN Based on Linking Strength Estimation by MSVD Transform","authors":"H. Ouerghi, Olfa Mourali, E. Zagrouba","doi":"10.17706/IJCCE.2017.6.3.201-211","DOIUrl":"https://doi.org/10.17706/IJCCE.2017.6.3.201-211","url":null,"abstract":"In this paper, we propose a novel multimodal MRI and CT images fusion method based on Multi-resolution Singular Value Decomposition (MSVD) and Modified Pulse Coupled Neural Network (MPCNN).Firstly, the input pre-registered MRI and CT images are decomposed into high frequency (HF) and low frequency (LF) sub-bands by using the MSVD transform. Then, the MPCNN model is applied on each LF sub-bands. The proposed method can adaptively determine the linking strength of the MPCNN model. After that, LF coefficients are combined based on the output of MPCNN coefficients while HF coefficients are fused by using the maximum selection rule. Finally, the inverse MSVD is applied to reconstruct the fused image. Visual effect and objective evaluation criteria are used to evaluate the performance of our approach for nine pairs of MRI and CT images. The experimental results demonstrate that the proposed method has a better performance than other current methods.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76170558","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 : 2017-01-01DOI: 10.17706/IJCCE.2017.6.1.57-66
Long Shi, Haiquan Zhao
In order to obtain a fast convergence rate, we propose a novel algorithm at the basis of the improved multiband-structured subband adaptive filter algorithm (IMSAF). The proposed algorithm incorporates the idea of set-membership into the IMSAF (SM-IMSAF). The update equation of the proposed SM-IMSAF is derived by using the Lagrange Multiplier method. Due to the effect of set-membership, the proposed SM-IMSAF achieves a better performance than some existing well-known algorithms. The simulation experiments are carried out under the condition of the system identification applications. Considering the practical condition, exact-modeling as well as under-modeling is taken into account in the simulations. At the same time, the tracking ability of SM-IMSAF algorithm is also researched when the unknown system mutates. The simulation results verify the superiority of the SM-IMSAF algorithm.
{"title":"A Proposed SM-IMSAF Algorithm with Fast Convergence Rate","authors":"Long Shi, Haiquan Zhao","doi":"10.17706/IJCCE.2017.6.1.57-66","DOIUrl":"https://doi.org/10.17706/IJCCE.2017.6.1.57-66","url":null,"abstract":"In order to obtain a fast convergence rate, we propose a novel algorithm at the basis of the improved multiband-structured subband adaptive filter algorithm (IMSAF). The proposed algorithm incorporates the idea of set-membership into the IMSAF (SM-IMSAF). The update equation of the proposed SM-IMSAF is derived by using the Lagrange Multiplier method. Due to the effect of set-membership, the proposed SM-IMSAF achieves a better performance than some existing well-known algorithms. The simulation experiments are carried out under the condition of the system identification applications. Considering the practical condition, exact-modeling as well as under-modeling is taken into account in the simulations. At the same time, the tracking ability of SM-IMSAF algorithm is also researched when the unknown system mutates. The simulation results verify the superiority of the SM-IMSAF algorithm.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87661328","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 : 2017-01-01DOI: 10.17706/ijcce.2017.6.2.111-126
Joe Bauer, Alphonso R. Bellamy
Cloud computing is a disruptive technology providing the occasion for change in the sociotechnical structures of IT capacity management, but what are the latent effects of this? With interviews from ten case study organizations, this qualitative research generates a model that describes a spectrum of IT capacity-management structures, from classic to cloud, and describes the patterned differences that were discovered. Among the ten organizations studied, the latent, or unintended consequences of IT capacitymanagement trying to “stay relevant” during a transition to cloud computing adoption appears to lead to its own obsolescence. This analysis can be used as a platform for more targeted hypothesis testing to provide evidence for or against the generalization and external validity of this exploratory research.
{"title":"Latent Effects of Cloud Computing on IT Capacity Management Structures","authors":"Joe Bauer, Alphonso R. Bellamy","doi":"10.17706/ijcce.2017.6.2.111-126","DOIUrl":"https://doi.org/10.17706/ijcce.2017.6.2.111-126","url":null,"abstract":"Cloud computing is a disruptive technology providing the occasion for change in the sociotechnical structures of IT capacity management, but what are the latent effects of this? With interviews from ten case study organizations, this qualitative research generates a model that describes a spectrum of IT capacity-management structures, from classic to cloud, and describes the patterned differences that were discovered. Among the ten organizations studied, the latent, or unintended consequences of IT capacitymanagement trying to “stay relevant” during a transition to cloud computing adoption appears to lead to its own obsolescence. This analysis can be used as a platform for more targeted hypothesis testing to provide evidence for or against the generalization and external validity of this exploratory research.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87516533","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 : 2017-01-01DOI: 10.17706/IJCCE.2017.6.1.75-82
U. Ozkaya, L. Seyfi
In this paper, Particle Swarm Optimization and Vortex Search Algorithm are applied to design desired characteristics of rectangular microstrip antenna with and without air gaps. The proposed artificial intelligence algorithms are inspired from natural events or behavior of living things in nature. Resonance frequency and return loss of microstrip antenna are dependence with design parameters. The computed results for dielectric substrate’s height is tuned by Particle Swarm Optimization and Vortex Search Algorithm for optimal design.
{"title":"Optimal Rectangular Microstrip Antenna with and without Air Gaps Design by Means of Particle Swarm Optimization and Vortex Search Algorithm","authors":"U. Ozkaya, L. Seyfi","doi":"10.17706/IJCCE.2017.6.1.75-82","DOIUrl":"https://doi.org/10.17706/IJCCE.2017.6.1.75-82","url":null,"abstract":"In this paper, Particle Swarm Optimization and Vortex Search Algorithm are applied to design desired characteristics of rectangular microstrip antenna with and without air gaps. The proposed artificial intelligence algorithms are inspired from natural events or behavior of living things in nature. Resonance frequency and return loss of microstrip antenna are dependence with design parameters. The computed results for dielectric substrate’s height is tuned by Particle Swarm Optimization and Vortex Search Algorithm for optimal design.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86661243","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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