Pub Date : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938343
Tossaporn Surinkaew, R. Shah, S. Islam
Low-probability high-impact (HILP) events such as windstorms, earthquakes, wildfires, and floods, which can cause significant damages to power systems, are inevitable and unpredictable. Besides, uncertainties from distributed renewable energy resources may prevent conventional techniques to improve reliability of power grids. In previous research works, several strategies have been introduced to investigate risk and resiliency, and to find effective solutions to improve system reliability under such extreme events. In this paper, a critical review of these strategies is presented. Modelings of the HILP events are dis-cussed. In the conclusion, this paper pinpoints significant findings and give directions for robustly protecting power systems.
{"title":"Risk and Resiliency Assessments of Renewable Dominated Edge of Grid Under High-Impact Low-Probability Events -A Review","authors":"Tossaporn Surinkaew, R. Shah, S. Islam","doi":"10.1109/GlobConPT57482.2022.9938343","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938343","url":null,"abstract":"Low-probability high-impact (HILP) events such as windstorms, earthquakes, wildfires, and floods, which can cause significant damages to power systems, are inevitable and unpredictable. Besides, uncertainties from distributed renewable energy resources may prevent conventional techniques to improve reliability of power grids. In previous research works, several strategies have been introduced to investigate risk and resiliency, and to find effective solutions to improve system reliability under such extreme events. In this paper, a critical review of these strategies is presented. Modelings of the HILP events are dis-cussed. In the conclusion, this paper pinpoints significant findings and give directions for robustly protecting power systems.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836600","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938299
Karam Khairullah Mohammed, S. Mekhilef
Extraction of maximum power from the PV panels, especially during partial shadowing conditions (PSC), is one of the most pressing issues in the operation of a photovoltaic (PV) system. While the conventional techniques are not able to capture the global maximum power (GMPP). Consequently, several optimization algorithms to track the GMPP have been presented. However, optimization methods are unable to distinguish uniform shading from PSCs. This paper presents a novel hybrid MPPT technique to address this drawback. An ANFIS method is proposed with a new partial shading detection approach to determine the maximum power if the system is subject to the uniform shading conditions (USCs) with the irradiance sensor being removed to reduce the cost. While a novel hybrid rat swarm optimization technique (MRSO) will implement only if partial shading occurs to avoid an unnecessary scan of the whole P-V curve during the USCs, which decreases the tracking time for USCs. The proposed approach was developed using MATLAB/SIMULINK, with a 0.05 seconds of sampling time. The simulation results revealed that the proposed method was successfully implemented, with an average tracking time of 0.375 s for uniform and PSCs with high efficiency. The effectiveness of the suggested approach has then been evaluated in light of more recent, closely similar approaches in this area.
{"title":"An Improved Hybrid Global Maximum Power Point Tracking Approach for PV Systems based on Partial Shading Detection","authors":"Karam Khairullah Mohammed, S. Mekhilef","doi":"10.1109/GlobConPT57482.2022.9938299","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938299","url":null,"abstract":"Extraction of maximum power from the PV panels, especially during partial shadowing conditions (PSC), is one of the most pressing issues in the operation of a photovoltaic (PV) system. While the conventional techniques are not able to capture the global maximum power (GMPP). Consequently, several optimization algorithms to track the GMPP have been presented. However, optimization methods are unable to distinguish uniform shading from PSCs. This paper presents a novel hybrid MPPT technique to address this drawback. An ANFIS method is proposed with a new partial shading detection approach to determine the maximum power if the system is subject to the uniform shading conditions (USCs) with the irradiance sensor being removed to reduce the cost. While a novel hybrid rat swarm optimization technique (MRSO) will implement only if partial shading occurs to avoid an unnecessary scan of the whole P-V curve during the USCs, which decreases the tracking time for USCs. The proposed approach was developed using MATLAB/SIMULINK, with a 0.05 seconds of sampling time. The simulation results revealed that the proposed method was successfully implemented, with an average tracking time of 0.375 s for uniform and PSCs with high efficiency. The effectiveness of the suggested approach has then been evaluated in light of more recent, closely similar approaches in this area.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129868579","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938161
Vandana Jain, Bhim Singh, Seema
This work introduces a control approach for a single stage solar photovoltaic (PV) generation system interfaced to the utility. In a single stage system, the voltage source converter (VSC) is used for MPPT (Maximum Power Point Tracking) operation of the PV array. It also maintains the DC-link voltage and converts the DC power produced by the PV array to the AC power to be supplied to the loads connected at PCC. The PSCs (Positive Sequence Components) of the unbalanced grid voltages are estimated for the evaluation of the unit templates. Moreover, it also provides the harmonics compensation of the load currents along with (UPF) unity power factor operation using multi-variable filter-based control algorithm. Thus, the distortion levels in the grid currents are decreased below 5%. During the grid failure, the system operates in standalone mode. A synchronization control is used for the smooth connection of the system to the grid during its availability and disconnection from the grid when it is unavailable. Experiments are done on a laboratory prototype at various dynamics and steady state conditions.
{"title":"Smooth Transition of a Grid Connected PV System to Standalone operation","authors":"Vandana Jain, Bhim Singh, Seema","doi":"10.1109/GlobConPT57482.2022.9938161","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938161","url":null,"abstract":"This work introduces a control approach for a single stage solar photovoltaic (PV) generation system interfaced to the utility. In a single stage system, the voltage source converter (VSC) is used for MPPT (Maximum Power Point Tracking) operation of the PV array. It also maintains the DC-link voltage and converts the DC power produced by the PV array to the AC power to be supplied to the loads connected at PCC. The PSCs (Positive Sequence Components) of the unbalanced grid voltages are estimated for the evaluation of the unit templates. Moreover, it also provides the harmonics compensation of the load currents along with (UPF) unity power factor operation using multi-variable filter-based control algorithm. Thus, the distortion levels in the grid currents are decreased below 5%. During the grid failure, the system operates in standalone mode. A synchronization control is used for the smooth connection of the system to the grid during its availability and disconnection from the grid when it is unavailable. Experiments are done on a laboratory prototype at various dynamics and steady state conditions.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126573687","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938349
Kazi Samira Shamsi Huq, Md. Saiful Islam, Md. Tazul Islam
Maximum Power Point Tracking (MPPT) techniques improve PV system efficiency by keeping the operating point at or close to the point of maximum power along the non-linear characteristics curve of a solar cell. Incremental Conductance (IC) based MPPT techniques can largely improve the efficiency and output power of a PV system but it suffers from slow convergence speed and poor power quality. A Fuzzy Logic based algorithm can reduce these limitations through adaptive duty cycle and voltage steps that respond to the changing environmental conditions. This paper proposes a novel Fuzzy Logic based fast converging MPPT algorithm that divides the characteristics I-V curve into five regions of operation and assigns variable step-size duty cycles based on the distance of the operating point from the point of the maximum power. The further the distance, the larger the duty cycle and vice versa. Simulation results show that the performance of the proposed algorithm is better both in static and changing environmental conditions than the IC algorithm.
{"title":"Design and Performance Analysis of A Novel Fuzzy Logic Based Fast Converging MPPT Algorithm for Solar Panel","authors":"Kazi Samira Shamsi Huq, Md. Saiful Islam, Md. Tazul Islam","doi":"10.1109/GlobConPT57482.2022.9938349","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938349","url":null,"abstract":"Maximum Power Point Tracking (MPPT) techniques improve PV system efficiency by keeping the operating point at or close to the point of maximum power along the non-linear characteristics curve of a solar cell. Incremental Conductance (IC) based MPPT techniques can largely improve the efficiency and output power of a PV system but it suffers from slow convergence speed and poor power quality. A Fuzzy Logic based algorithm can reduce these limitations through adaptive duty cycle and voltage steps that respond to the changing environmental conditions. This paper proposes a novel Fuzzy Logic based fast converging MPPT algorithm that divides the characteristics I-V curve into five regions of operation and assigns variable step-size duty cycles based on the distance of the operating point from the point of the maximum power. The further the distance, the larger the duty cycle and vice versa. Simulation results show that the performance of the proposed algorithm is better both in static and changing environmental conditions than the IC algorithm.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127954423","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938324
Totan Das, Sukanta Halder, Varsha A. Shah
In 3-Phase motor drive to incorporate hybrid energy storage system, a bi-directional DC-DC converter is needed, which adds complexity and cost to the system. In open winding motor drive, hybrid energy storage system can be integrated without using any DC-DC converters. Another important advantage of using open winding motor drive is reduction of voltage rating of the sources. The open- winding induction motor is fed by two voltage source inverters with isolated dc storage systems. By controlling the inverter output voltages, it is possible to control the motor output power and power flow between two storage devices simultaneously. An energy management system has been developed with three modes of operations, accelerating mode, cruising mode and braking mode depending upon driving condition. The developed energy management system has been tested for a real sized car (Tata Nano) with two different urban drive cycle in MATLAB Simulink environment.
{"title":"Efficient Energy Management System for Open-Winding Motor Drive for Electrical Vehicle With Hybrid Energy Storage Systems","authors":"Totan Das, Sukanta Halder, Varsha A. Shah","doi":"10.1109/GlobConPT57482.2022.9938324","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938324","url":null,"abstract":"In 3-Phase motor drive to incorporate hybrid energy storage system, a bi-directional DC-DC converter is needed, which adds complexity and cost to the system. In open winding motor drive, hybrid energy storage system can be integrated without using any DC-DC converters. Another important advantage of using open winding motor drive is reduction of voltage rating of the sources. The open- winding induction motor is fed by two voltage source inverters with isolated dc storage systems. By controlling the inverter output voltages, it is possible to control the motor output power and power flow between two storage devices simultaneously. An energy management system has been developed with three modes of operations, accelerating mode, cruising mode and braking mode depending upon driving condition. The developed energy management system has been tested for a real sized car (Tata Nano) with two different urban drive cycle in MATLAB Simulink environment.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"48 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120905931","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938182
M. Yl, S. K.
The stock split remains One of the most unpredictable and unstable activities is the stock split market. To maximize the benefits, mathematical and computational techniques have been developed. Although the quantity of shares notable increases by way of a specific multiple, the complete dollar price of the shares stays the identical compared to pre-split amounts, because the split does no longer add any real value. People regularly confuse bonus shares with stock split. So here help investors with the aid of analyze stock split whether they going to get profit or no longer and after stock split. Down the line how a lot income investors will get. Using Enhanced-LSTM brings a higher perception of the altering prices considered throughout buying and selling of fairness to day traders and economic advisers seeing that Enhanced-LSTM technique is implemented to deal with time and efficient data prediction. Capitalizing on the stock market has resulted in significant gains and losses. A stock split's main goal is to make shares appear more appealing to individual investors and more accessible to small investors.; prediction models are no longer accurate but instead outline a more methodical approach to making money. An Enhanced-LSTM model has been developed in this study to analyze the stock split, In order to validate the created prediction method, a case study for the stock split prediction of given data is conducted. The examination of the results and discussion show that this strategy performs better than competing models and can successfully enable stock split price prediction. Enhanced-LSTM mannequin will be used for the stock split prediction.
{"title":"Stock Split Analysis and Market Value Predictions by using Enhanced Long Short-Term Memory","authors":"M. Yl, S. K.","doi":"10.1109/GlobConPT57482.2022.9938182","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938182","url":null,"abstract":"The stock split remains One of the most unpredictable and unstable activities is the stock split market. To maximize the benefits, mathematical and computational techniques have been developed. Although the quantity of shares notable increases by way of a specific multiple, the complete dollar price of the shares stays the identical compared to pre-split amounts, because the split does no longer add any real value. People regularly confuse bonus shares with stock split. So here help investors with the aid of analyze stock split whether they going to get profit or no longer and after stock split. Down the line how a lot income investors will get. Using Enhanced-LSTM brings a higher perception of the altering prices considered throughout buying and selling of fairness to day traders and economic advisers seeing that Enhanced-LSTM technique is implemented to deal with time and efficient data prediction. Capitalizing on the stock market has resulted in significant gains and losses. A stock split's main goal is to make shares appear more appealing to individual investors and more accessible to small investors.; prediction models are no longer accurate but instead outline a more methodical approach to making money. An Enhanced-LSTM model has been developed in this study to analyze the stock split, In order to validate the created prediction method, a case study for the stock split prediction of given data is conducted. The examination of the results and discussion show that this strategy performs better than competing models and can successfully enable stock split price prediction. Enhanced-LSTM mannequin will be used for the stock split prediction.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122737371","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938209
Naman Batra, Brahmjit Singh
Constant improvements in transistor technology have made it possible for computer design to support ever-increasing numbers of processing cores on a single silicon die. With the number of cores on a chip and complexity increasing, there is a greater need for on-chip communication capacity. As per recent research outcomes the packet-switched network-on-chip (NoC) proved to be a most scalable cores and low-cost communication fabric systems with dozens or even hundreds of processors' core. So, In this paper the performance, features, pros and cons of all the traditional on-chip interconnect architecture like Buses, Crossbar, Network-on-chip are reviewed. This is then followed by the review of the most frequent benefits and downsides of NoC's current power-saving practices.
{"title":"Evolution of Efficient On-Chip Interconnect Architecture for SOC: A Review","authors":"Naman Batra, Brahmjit Singh","doi":"10.1109/GlobConPT57482.2022.9938209","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938209","url":null,"abstract":"Constant improvements in transistor technology have made it possible for computer design to support ever-increasing numbers of processing cores on a single silicon die. With the number of cores on a chip and complexity increasing, there is a greater need for on-chip communication capacity. As per recent research outcomes the packet-switched network-on-chip (NoC) proved to be a most scalable cores and low-cost communication fabric systems with dozens or even hundreds of processors' core. So, In this paper the performance, features, pros and cons of all the traditional on-chip interconnect architecture like Buses, Crossbar, Network-on-chip are reviewed. This is then followed by the review of the most frequent benefits and downsides of NoC's current power-saving practices.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122777236","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938204
Nishitha T, G. A.
The goal of this work is to evaluate the performance of routing protocols for mobile ad hoc networks (MANETs) in the presence of various rate control algorithms at the data link layer and to identify the optimal rate control algorithms (RCA) for enhancing efficiency or quality of service of mobile ad hoc networks. They are self-configuring networks that lack a fixed infrastructure structure, and routing is crucial to their operation. Rate control is a critical function of the data link layer, and rate control algorithms are responsible for optimizing performance by dynamically selecting rates depending on the conditions of the channel. In this paper, we proposed a cross-layer approach for optimizing the performance of MANETs. The following metrics like packet delivery ratio, throughput, goodput, and average end-to-end delay are used to assess the proposed approach.
{"title":"Cross Layer Approach for Analysing the Performance of Mobile Ad hoc Networks","authors":"Nishitha T, G. A.","doi":"10.1109/GlobConPT57482.2022.9938204","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938204","url":null,"abstract":"The goal of this work is to evaluate the performance of routing protocols for mobile ad hoc networks (MANETs) in the presence of various rate control algorithms at the data link layer and to identify the optimal rate control algorithms (RCA) for enhancing efficiency or quality of service of mobile ad hoc networks. They are self-configuring networks that lack a fixed infrastructure structure, and routing is crucial to their operation. Rate control is a critical function of the data link layer, and rate control algorithms are responsible for optimizing performance by dynamically selecting rates depending on the conditions of the channel. In this paper, we proposed a cross-layer approach for optimizing the performance of MANETs. The following metrics like packet delivery ratio, throughput, goodput, and average end-to-end delay are used to assess the proposed approach.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117101344","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938333
R. Trivedi, S. Patra, S. Khadem
This article proposes a data-centric strategy that emphasises data preprocessing, interpretation of machine learning models' performance, improving data quality and modifying models to deal with issues identified during the iterative loop of classification model development. The framework consists of three stages: stage-1 focuses on data collection and pre-processing, followed by data quality improvement and feature extraction in stage-2, and the final stage-3 with model hyper-parameter tuning. The concept of model interpretation is added within the framework that helps to understand the learning behaviour of machine learning (ML) models. This makes the models' performance more explainable and is known as Explainable Artificial Intelligence (XAI). For stage-1, the data is generated from a simulation of cyber-attacks in CIGRE low voltage microgrid network, which is then preprocessed. In stage-2, data is augmented using ensembled Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbour (ENN) methods, followed by feature extraction using the Boruta python package. Finally, the hyper-parameters are tuned through a Tree-structured Parzen Estimator (TPE) algorithm. A time-series transformer model is also presented for cyber-attack detection. The findings from the proposed approach demonstrate that the model's predictive performance increases with subsequent stages.
{"title":"Data-centric Cyber-attack Detection in Community Microgrids Using ML Techniques","authors":"R. Trivedi, S. Patra, S. Khadem","doi":"10.1109/GlobConPT57482.2022.9938333","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938333","url":null,"abstract":"This article proposes a data-centric strategy that emphasises data preprocessing, interpretation of machine learning models' performance, improving data quality and modifying models to deal with issues identified during the iterative loop of classification model development. The framework consists of three stages: stage-1 focuses on data collection and pre-processing, followed by data quality improvement and feature extraction in stage-2, and the final stage-3 with model hyper-parameter tuning. The concept of model interpretation is added within the framework that helps to understand the learning behaviour of machine learning (ML) models. This makes the models' performance more explainable and is known as Explainable Artificial Intelligence (XAI). For stage-1, the data is generated from a simulation of cyber-attacks in CIGRE low voltage microgrid network, which is then preprocessed. In stage-2, data is augmented using ensembled Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbour (ENN) methods, followed by feature extraction using the Boruta python package. Finally, the hyper-parameters are tuned through a Tree-structured Parzen Estimator (TPE) algorithm. A time-series transformer model is also presented for cyber-attack detection. The findings from the proposed approach demonstrate that the model's predictive performance increases with subsequent stages.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"8 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132532272","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938275
Cheena Singhal, N.K. Srivastava, Sheetal Singh
With the development of CMOS technology in wireless communication it has led to the unification of wireless circuitry on a single chip. For reconfigurable RF front end circuitry for RF transceivers spiral inductors were preferred which were bulkier, fixed and used to cover large areas and were affected by parasitic losses, resistive losses, so with rising demands and rising technological advancement led to the discovery of on-chip filters based on emulation of inductors using active devices like op-amps, trans-resistance amplifiers, transconductance amplifiers. Various active filter topologies are studied and reviewed of years with regress efforts such as the switched capacitor topology, the active RC- filter topology, the MOSFET-C topology and Gm-C filter topology with their merits and applications specifically in wireless communication for radio frequencies. A band pass filter based on emulated active inductor circuit is being analysed at 21.6GHz frequency on cadence virtuoso gpdk 90nm technology with analysed parameters as noise figure, power dissipation, quality factor etc. A comparative study of the different band pass filters so far study is also presented.
{"title":"A Comparitive Analysis of Radio Frequency Band Pass Filters for Wireless Communication Application","authors":"Cheena Singhal, N.K. Srivastava, Sheetal Singh","doi":"10.1109/GlobConPT57482.2022.9938275","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938275","url":null,"abstract":"With the development of CMOS technology in wireless communication it has led to the unification of wireless circuitry on a single chip. For reconfigurable RF front end circuitry for RF transceivers spiral inductors were preferred which were bulkier, fixed and used to cover large areas and were affected by parasitic losses, resistive losses, so with rising demands and rising technological advancement led to the discovery of on-chip filters based on emulation of inductors using active devices like op-amps, trans-resistance amplifiers, transconductance amplifiers. Various active filter topologies are studied and reviewed of years with regress efforts such as the switched capacitor topology, the active RC- filter topology, the MOSFET-C topology and Gm-C filter topology with their merits and applications specifically in wireless communication for radio frequencies. A band pass filter based on emulated active inductor circuit is being analysed at 21.6GHz frequency on cadence virtuoso gpdk 90nm technology with analysed parameters as noise figure, power dissipation, quality factor etc. A comparative study of the different band pass filters so far study is also presented.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066493","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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