Pub Date : 2023-05-30DOI: 10.1080/00051144.2023.2205725
Kalamani C., Kamatchi S., Sasikala S., Murali L.
An adaptive filter is the utmost essential filter castoff in statistical signal dealing. The fine-tuning of the filter factor in relation to the response signal is the adaptive filter's key feature due to fewer calculations, Least Mean Square (LMS) adaptive filters are widely used to remove noise from Electrocardiograms (ECG). The adaptive filters are realized as signal processing algorithms in Digital Signal Processors (DSPs) or in VLSI Signal Processors (VSPs). The technique provides a way to create a folded adaptive lattice LMS filter, which requires less hardware than an adaptive lattice filter. Folding is an algorithm that uses a time scheduling technique that combines arithmetic operations into one operation which reduces Register and silicon chip areas. The design and implementation of a folded lattice adaptive filter remove Power Line Interference (PLI) noise from ECG signals. The MATLAB Xilinx System Generator tool is used to design the Adaptive Lattice LMS Filter and Folded Adaptive Lattice LMS Filter with Folding Order K = 2 and K = 4 and realized in the Virtex 5 FPGA KIT. The results of the folded architecture show that the area is reduced for K = 2 and K = 4 by 82.60% and 91.05%, respectively compared with a normal adaptive lattice filter.
{"title":"The design and implementation of folded adaptive lattice filter structures in FPGA for ECG signals","authors":"Kalamani C., Kamatchi S., Sasikala S., Murali L.","doi":"10.1080/00051144.2023.2205725","DOIUrl":"https://doi.org/10.1080/00051144.2023.2205725","url":null,"abstract":"An adaptive filter is the utmost essential filter castoff in statistical signal dealing. The fine-tuning of the filter factor in relation to the response signal is the adaptive filter's key feature due to fewer calculations, Least Mean Square (LMS) adaptive filters are widely used to remove noise from Electrocardiograms (ECG). The adaptive filters are realized as signal processing algorithms in Digital Signal Processors (DSPs) or in VLSI Signal Processors (VSPs). The technique provides a way to create a folded adaptive lattice LMS filter, which requires less hardware than an adaptive lattice filter. Folding is an algorithm that uses a time scheduling technique that combines arithmetic operations into one operation which reduces Register and silicon chip areas. The design and implementation of a folded lattice adaptive filter remove Power Line Interference (PLI) noise from ECG signals. The MATLAB Xilinx System Generator tool is used to design the Adaptive Lattice LMS Filter and Folded Adaptive Lattice LMS Filter with Folding Order K = 2 and K = 4 and realized in the Virtex 5 FPGA KIT. The results of the folded architecture show that the area is reduced for K = 2 and K = 4 by 82.60% and 91.05%, respectively compared with a normal adaptive lattice filter.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135691122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-28DOI: 10.1080/00051144.2023.2217601
WenJu Sun, Ting Li, Musa Mojarad
Hierarchical clustering is a common type of clustering in which the dataset is hierarchically divided and represented by a dendrogram. Agglomerative Hierarchical Clustering (AHC) is a common type of hierarchical clustering in which clusters are created bottom-up. In addition, semi-supervised clustering is a new method in the field of machine learning, where supervised and unsupervised learning are combined. Clustering performance is effectively improved by semi-supervised learning, as it uses a small amount of labelled data to aid unsupervised learning. Meanwhile, ensemble clustering by combining the results of several individual clustering methods can achieve better performance compared to each of the individual methods. Considering AHC with semi-supervised learning for ensemble clustering configuration has received less attention in the past literature. In order to achieve better clustering results, we propose a semi-supervised ensemble clustering framework developed based on AHC-based methods. Here, we develop a flexible weighting mechanism along with a new membership similarity measure that can establish compatibility between semi-supervised clustering methods. We evaluated the proposed method with several equivalent methods based on a wide variety of UCI datasets. Experimental results show the effectiveness of the proposed method from different aspects such as NMI, ARI and accuracy.
{"title":"Towards semi-supervised ensemble clustering using a new membership similarity measure","authors":"WenJu Sun, Ting Li, Musa Mojarad","doi":"10.1080/00051144.2023.2217601","DOIUrl":"https://doi.org/10.1080/00051144.2023.2217601","url":null,"abstract":"Hierarchical clustering is a common type of clustering in which the dataset is hierarchically divided and represented by a dendrogram. Agglomerative Hierarchical Clustering (AHC) is a common type of hierarchical clustering in which clusters are created bottom-up. In addition, semi-supervised clustering is a new method in the field of machine learning, where supervised and unsupervised learning are combined. Clustering performance is effectively improved by semi-supervised learning, as it uses a small amount of labelled data to aid unsupervised learning. Meanwhile, ensemble clustering by combining the results of several individual clustering methods can achieve better performance compared to each of the individual methods. Considering AHC with semi-supervised learning for ensemble clustering configuration has received less attention in the past literature. In order to achieve better clustering results, we propose a semi-supervised ensemble clustering framework developed based on AHC-based methods. Here, we develop a flexible weighting mechanism along with a new membership similarity measure that can establish compatibility between semi-supervised clustering methods. We evaluated the proposed method with several equivalent methods based on a wide variety of UCI datasets. Experimental results show the effectiveness of the proposed method from different aspects such as NMI, ARI and accuracy.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43664497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-25DOI: 10.1080/00051144.2023.2213927
Dinesh Kumar T.R., K. A.
Systems-on-chips need numerous predesigned cores to advance. NoC enables Multi-Core SoCs (MC_SoCs). Conventional NoC cores use power and latency on multi-hop wired connections. An effective Wireless Network-on-Chip (WiNoC) architecture can overcome NoC difficulties. On-chip antennas, transceivers, and routers replace multi-hop cable connections with high-bandwidth single-hop wireless networks using WiNoC. Nanotechnology development demands fast data transfer to overcome performance bottlenecks from sharing memory modules and connecting fabrics. This research offers a new Proactive Flow control using Adaptive Beam formation for Smart Intra-layer Data Communication technique(PF_SDC) to optimally use network resources and assure QoS in Wireless Network-on-Chip for next-generation nano-domain technology. Hybrid NoC architecture optimises application admission for data transfer over wired and wireless interconnects. Data traffic is managed by a fuzzy inference-based Intelligent Head Agent (IHA). Queue load predicts router status for the fittest path selection. IHA initiates beams at angles to admit data flow towards the target while utilising the least amount of network power and resources. A simulation model shows that the proposed system may be applied in real-world applications and consumes little power with good throughput.
{"title":"Proactive flow control using adaptive beam forming for smart intra-layer data communication in wireless network on chip","authors":"Dinesh Kumar T.R., K. A.","doi":"10.1080/00051144.2023.2213927","DOIUrl":"https://doi.org/10.1080/00051144.2023.2213927","url":null,"abstract":"Systems-on-chips need numerous predesigned cores to advance. NoC enables Multi-Core SoCs (MC_SoCs). Conventional NoC cores use power and latency on multi-hop wired connections. An effective Wireless Network-on-Chip (WiNoC) architecture can overcome NoC difficulties. On-chip antennas, transceivers, and routers replace multi-hop cable connections with high-bandwidth single-hop wireless networks using WiNoC. Nanotechnology development demands fast data transfer to overcome performance bottlenecks from sharing memory modules and connecting fabrics. This research offers a new Proactive Flow control using Adaptive Beam formation for Smart Intra-layer Data Communication technique(PF_SDC) to optimally use network resources and assure QoS in Wireless Network-on-Chip for next-generation nano-domain technology. Hybrid NoC architecture optimises application admission for data transfer over wired and wireless interconnects. Data traffic is managed by a fuzzy inference-based Intelligent Head Agent (IHA). Queue load predicts router status for the fittest path selection. IHA initiates beams at angles to admit data flow towards the target while utilising the least amount of network power and resources. A simulation model shows that the proposed system may be applied in real-world applications and consumes little power with good throughput.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41694937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-25DOI: 10.1080/00051144.2023.2213564
K. Roslin Dayana, P. Shobha rani
The environment of cloud computing provides several advantages and a variety of data storage models, which entirely frees users from the vexing processes of storage equipment upgradation and data administration. Nevertheless, the customers’ primary worry is the safety of their data, and the literature offers a number of different security-based solutions for addressing this issue. This paper proposes a technique for time-efficient cloud data storage that makes use of keccak and Advanced Encryption Standard (AES) which enhances the data availability with a reasonable storage space. Third party agents are not employed, due to the fact that a third party cannot be relied upon to maintain a high level of data security. Thus, the proposed algorithm is applied by cloud users before the process of outsourcing is carried out. This method is resistant to data tamper and analytical attacks. In addition, the execution of the work that has been proposed requires a limited amount of time, which, in turn, minimizes the amount of energy that is required. In contrast to the already used algorithms, the presented work demonstrates superior performance in terms of its overall effectiveness.
{"title":"Secure cloud data storage solution with better data accessibility and time efficiency","authors":"K. Roslin Dayana, P. Shobha rani","doi":"10.1080/00051144.2023.2213564","DOIUrl":"https://doi.org/10.1080/00051144.2023.2213564","url":null,"abstract":"The environment of cloud computing provides several advantages and a variety of data storage models, which entirely frees users from the vexing processes of storage equipment upgradation and data administration. Nevertheless, the customers’ primary worry is the safety of their data, and the literature offers a number of different security-based solutions for addressing this issue. This paper proposes a technique for time-efficient cloud data storage that makes use of keccak and Advanced Encryption Standard (AES) which enhances the data availability with a reasonable storage space. Third party agents are not employed, due to the fact that a third party cannot be relied upon to maintain a high level of data security. Thus, the proposed algorithm is applied by cloud users before the process of outsourcing is carried out. This method is resistant to data tamper and analytical attacks. In addition, the execution of the work that has been proposed requires a limited amount of time, which, in turn, minimizes the amount of energy that is required. In contrast to the already used algorithms, the presented work demonstrates superior performance in terms of its overall effectiveness.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43140639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1080/00051144.2023.2197821
A. Manjula, S. S, Mustafa Musa Jaber, Hamad Mohamad A.A, S. Sahu, Rajesh P. Verma, Prashant Vats
The current work aims to propose an adequate thermodynamic model, in addition to proposing and evaluating two composite models for the thermal decomposition of insulating mineral oil (IMO), considering that the models based on classical diagnostic methods do not have the ability to satisfactorily reproduce empirical data. The simulation results obtained using the proposed model showed better agreement with the presented data than the results obtained using classical models. The proposed model was also used in the development of a phenomenological based diagnostic method. The characteristics of this new phenomenological proposal and the classical diagnostic methods of dissolved gas analysis are compared and discussed; the proposed method showed better performance when compared to Rogers, Doernenburg, or IEC and equivalent performance to Duval triangle method commonly used in this field of knowledge. The general procedure for applying the new diagnostic method is also described. In order to account for the event's dynamics, the suggested model in particular made it feasible to replicate intermediate scenes of equilibrium C(s). Compared to the findings from the classical models found in the literature, the two-dimensional simulation results generated with this model demonstrated a better agreement with the actual data.
{"title":"Stratifying transformer defects through modelling and simulation of thermal decomposition of insulating mineral oil","authors":"A. Manjula, S. S, Mustafa Musa Jaber, Hamad Mohamad A.A, S. Sahu, Rajesh P. Verma, Prashant Vats","doi":"10.1080/00051144.2023.2197821","DOIUrl":"https://doi.org/10.1080/00051144.2023.2197821","url":null,"abstract":"The current work aims to propose an adequate thermodynamic model, in addition to proposing and evaluating two composite models for the thermal decomposition of insulating mineral oil (IMO), considering that the models based on classical diagnostic methods do not have the ability to satisfactorily reproduce empirical data. The simulation results obtained using the proposed model showed better agreement with the presented data than the results obtained using classical models. The proposed model was also used in the development of a phenomenological based diagnostic method. The characteristics of this new phenomenological proposal and the classical diagnostic methods of dissolved gas analysis are compared and discussed; the proposed method showed better performance when compared to Rogers, Doernenburg, or IEC and equivalent performance to Duval triangle method commonly used in this field of knowledge. The general procedure for applying the new diagnostic method is also described. In order to account for the event's dynamics, the suggested model in particular made it feasible to replicate intermediate scenes of equilibrium C(s). Compared to the findings from the classical models found in the literature, the two-dimensional simulation results generated with this model demonstrated a better agreement with the actual data.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43481768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1080/00051144.2023.2211439
P. Swathika, J. Sekar
Cloud computing technology is quite inevitable in today’s smart world. The excessive utilization of data mandates updated storage space, which is highly expensive and cloud storage is the best solution to it. As charges are levied for the utilized space, data redundancy must be avoided for the effective exploitation of cloud space. Data deduplication is a technique, which removes redundant data and conserves storage, bandwidth and charges. However, data retrieval upon deduplicated data is not well explored in the existing literature. This work attempts to present an effective retrieval framework for deduplicated data in a cloud environment by presenting two protocols namely Data Outsourcing Protocol (DOP) and Data Retrieval Protocol (DRP). The retrieval performance of the proposed approach is tested and compared with the existing approaches in terms of standard performance measures. The work performance of the proposed Deduplicated Data Retrieval (DDR) framework performs better in terms of retrieval precision, recall and time conservation rates. The average precision and recall rates attained by the proposed work are 97.9% and 95.75% respectively.
{"title":"Time-conserving deduplicated data retrieval framework for the cloud computing environment","authors":"P. Swathika, J. Sekar","doi":"10.1080/00051144.2023.2211439","DOIUrl":"https://doi.org/10.1080/00051144.2023.2211439","url":null,"abstract":"Cloud computing technology is quite inevitable in today’s smart world. The excessive utilization of data mandates updated storage space, which is highly expensive and cloud storage is the best solution to it. As charges are levied for the utilized space, data redundancy must be avoided for the effective exploitation of cloud space. Data deduplication is a technique, which removes redundant data and conserves storage, bandwidth and charges. However, data retrieval upon deduplicated data is not well explored in the existing literature. This work attempts to present an effective retrieval framework for deduplicated data in a cloud environment by presenting two protocols namely Data Outsourcing Protocol (DOP) and Data Retrieval Protocol (DRP). The retrieval performance of the proposed approach is tested and compared with the existing approaches in terms of standard performance measures. The work performance of the proposed Deduplicated Data Retrieval (DDR) framework performs better in terms of retrieval precision, recall and time conservation rates. The average precision and recall rates attained by the proposed work are 97.9% and 95.75% respectively.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48256777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1080/00051144.2023.2209416
K. M, Manikanda Rajagopal, Teresa V. V., P. Krishnan
Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channel’s AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods.
{"title":"Performance analysis of alternating minimization based low complexity detection for MIMO communication system","authors":"K. M, Manikanda Rajagopal, Teresa V. V., P. Krishnan","doi":"10.1080/00051144.2023.2209416","DOIUrl":"https://doi.org/10.1080/00051144.2023.2209416","url":null,"abstract":"Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channel’s AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41933947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1080/00051144.2023.2203560
R. D, P. Thirumoorthi, Premalatha K
In this paper, a current controlled-hybrid power compensator (CC-HPC) is presented to reduce the effect of input current harmonics on battery chargers. Passive filters have significant power loss and degrade system frequency due to excessive harmonic attenuation. The proposed system integrates the Higher Order Sliding Mode Controller (HOSMC) with a generalized form of p–q power theory and a Time Series – Artificial Neural Network (TS-ANN) is used to produce compensating reference current for a three-phase system and generates DC link inductor current. Switching pulses to Current Controlled-Active Power Compensator (CC-APC) switches are generated using a reference compensated signal. The development of CC-HPC and its control approach helps to reduce the overall harmonic distortion of the supply current used in battery chargers are the main contributions of the proposed system. HOSMC is a robust and adaptable controller that tracks reference current without causing chattering is the significant advantage of the proposed method. The control algorithm is designed in MATLAB/SIMULINK software for various load conditions and the experimental setup has been developed for rectified fed RC load using TS-ANN. The filtering process of CC-HPC can maintain the harmonic distortion of supply current within the IEEE 519-2014 standard.
{"title":"A new approach based on current controlled hybrid power compensator for power quality improvement using time series neural network","authors":"R. D, P. Thirumoorthi, Premalatha K","doi":"10.1080/00051144.2023.2203560","DOIUrl":"https://doi.org/10.1080/00051144.2023.2203560","url":null,"abstract":"In this paper, a current controlled-hybrid power compensator (CC-HPC) is presented to reduce the effect of input current harmonics on battery chargers. Passive filters have significant power loss and degrade system frequency due to excessive harmonic attenuation. The proposed system integrates the Higher Order Sliding Mode Controller (HOSMC) with a generalized form of p–q power theory and a Time Series – Artificial Neural Network (TS-ANN) is used to produce compensating reference current for a three-phase system and generates DC link inductor current. Switching pulses to Current Controlled-Active Power Compensator (CC-APC) switches are generated using a reference compensated signal. The development of CC-HPC and its control approach helps to reduce the overall harmonic distortion of the supply current used in battery chargers are the main contributions of the proposed system. HOSMC is a robust and adaptable controller that tracks reference current without causing chattering is the significant advantage of the proposed method. The control algorithm is designed in MATLAB/SIMULINK software for various load conditions and the experimental setup has been developed for rectified fed RC load using TS-ANN. The filtering process of CC-HPC can maintain the harmonic distortion of supply current within the IEEE 519-2014 standard.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41619440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1080/00051144.2023.2205724
T. Vinothkumar, S. S. Sivaraju, Anuradha Thangavelu, S. Srithar
Introduction: The Internet of Things (IoT) and Smart Grids (SGs) growth results from the advancement of computer hardware and ubiquitous computation for energy-efficient and reliable data gathering. Background: The limitations of the present cloud computing framework in energy systems remain unresolved, such as fully recognizing the requisites of high data usage with low latency which is discussed for a cloud computing scheme in IoT-based smart power stations. Problem Statement: IoT growth results from the advancement of computer hardware and ubiquitous computation. Among the various IoT solutions, SGs stand out because they combine several embedded smart techniques to increase the security and dependability of electricity grids. Methodology: A Particle Swarm Optimization based energy efficient integration of Smart Grid (PSO-SG) is designed using IoT. Modern technology establishes a novel hardware and software architecture and integrates cloud services into the cloud-based electricity network. Findings: As a result, a sizable amount of data produced by the electricity network will be examined, handled, and saved at the network. IoT-based power systems will enable the interconnection and administration of large endpoint devices, offer real-time evaluation and treatment of vast data, and promote the modernization of the power grid with the help of the cloud computing model.
{"title":"An energy-efficient and reliable data gathering infrastructure using the internet of things and smart grids","authors":"T. Vinothkumar, S. S. Sivaraju, Anuradha Thangavelu, S. Srithar","doi":"10.1080/00051144.2023.2205724","DOIUrl":"https://doi.org/10.1080/00051144.2023.2205724","url":null,"abstract":"Introduction: The Internet of Things (IoT) and Smart Grids (SGs) growth results from the advancement of computer hardware and ubiquitous computation for energy-efficient and reliable data gathering. Background: The limitations of the present cloud computing framework in energy systems remain unresolved, such as fully recognizing the requisites of high data usage with low latency which is discussed for a cloud computing scheme in IoT-based smart power stations. Problem Statement: IoT growth results from the advancement of computer hardware and ubiquitous computation. Among the various IoT solutions, SGs stand out because they combine several embedded smart techniques to increase the security and dependability of electricity grids. Methodology: A Particle Swarm Optimization based energy efficient integration of Smart Grid (PSO-SG) is designed using IoT. Modern technology establishes a novel hardware and software architecture and integrates cloud services into the cloud-based electricity network. Findings: As a result, a sizable amount of data produced by the electricity network will be examined, handled, and saved at the network. IoT-based power systems will enable the interconnection and administration of large endpoint devices, offer real-time evaluation and treatment of vast data, and promote the modernization of the power grid with the help of the cloud computing model.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48308906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-21DOI: 10.1080/00051144.2022.2140390
A. P., Kamaraja A. S., K. K. Kumar, S. G.
Power electronic devices and variable speed drives solve a power quality issue. To increase the power quality, the distribution side must be compensated by concurrently infusing actual and reactive power. A cost-effective method of preventing voltage sag and swell in power electronic loads is the use of a dynamic voltage restorer. To enhance the power quality for end users, a DC-link component will be combined with the DVR. Ratings for DC-Link elements and inverters are more challenging when constructing a DVR. To simplify things, the Distributed Energy Source (DES) is combined with the DC-Link and the Inverter. The PV-integrated DVR is under the supervision of the Interval type-2 Fuzzy Logic Controller using Synchronous Reference Frame Theory. Reactive power is injected and absorbed under defective situations using a variety of injection techniques with various controllers. The suggested controller enhances power quality and provides exact results under different fault scenarios. Matlab is used to compare the proposed IT2-FLC to a type-1 fuzzy-adjusted PI controller and a traditional mathematical PI controller. The results of the simulations showed that the suggested methodology provided a better outcome on the Distribution side. To validate the simulation results, a scaled-down rating prototype model is created.
{"title":"A simple robust mechanism of PV-supported dynamic voltage restorer using interval type-2 fuzzy logic controller","authors":"A. P., Kamaraja A. S., K. K. Kumar, S. G.","doi":"10.1080/00051144.2022.2140390","DOIUrl":"https://doi.org/10.1080/00051144.2022.2140390","url":null,"abstract":"Power electronic devices and variable speed drives solve a power quality issue. To increase the power quality, the distribution side must be compensated by concurrently infusing actual and reactive power. A cost-effective method of preventing voltage sag and swell in power electronic loads is the use of a dynamic voltage restorer. To enhance the power quality for end users, a DC-link component will be combined with the DVR. Ratings for DC-Link elements and inverters are more challenging when constructing a DVR. To simplify things, the Distributed Energy Source (DES) is combined with the DC-Link and the Inverter. The PV-integrated DVR is under the supervision of the Interval type-2 Fuzzy Logic Controller using Synchronous Reference Frame Theory. Reactive power is injected and absorbed under defective situations using a variety of injection techniques with various controllers. The suggested controller enhances power quality and provides exact results under different fault scenarios. Matlab is used to compare the proposed IT2-FLC to a type-1 fuzzy-adjusted PI controller and a traditional mathematical PI controller. The results of the simulations showed that the suggested methodology provided a better outcome on the Distribution side. To validate the simulation results, a scaled-down rating prototype model is created.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"64 1","pages":"672 - 680"},"PeriodicalIF":1.9,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42507547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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