Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10165559
Shani S J, S. G.
A space vector PWM (SVPWM) method for a five phase five level inverter is proposed. Two three level inverters are fed from opposite ends of an open end winding induction motor to create five level inversion. The proposed scheme is based on adding an offset voltage to the sampled reference voltage to achieve multilevel operation. The use of carrier region to identify the reference location will simplify the implementation of the algorithm. The eligible vectors, regions and switching sequence of the five vectors that define the accessible region can be directly determined from the modulation index value. This makes it easier to implement the optimal five vectors, and it is extendable to any multiphase multilevel inverter (odd number of levels) by simply changing the carrier region. The proposed algorithm was simulated in MATLAB/SIMULINK, and the results are presented.
{"title":"A Space Vector PWM Signal Generation for Five Level Five Phase Inverter Drives","authors":"Shani S J, S. G.","doi":"10.1109/ICCC57789.2023.10165559","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165559","url":null,"abstract":"A space vector PWM (SVPWM) method for a five phase five level inverter is proposed. Two three level inverters are fed from opposite ends of an open end winding induction motor to create five level inversion. The proposed scheme is based on adding an offset voltage to the sampled reference voltage to achieve multilevel operation. The use of carrier region to identify the reference location will simplify the implementation of the algorithm. The eligible vectors, regions and switching sequence of the five vectors that define the accessible region can be directly determined from the modulation index value. This makes it easier to implement the optimal five vectors, and it is extendable to any multiphase multilevel inverter (odd number of levels) by simply changing the carrier region. The proposed algorithm was simulated in MATLAB/SIMULINK, and the results are presented.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125745798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10165395
Anchana V., Biju K. S.
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental irregularity which is complex, universal and heterogeneous. Inattention, hyperactivity and impulsiveness are some of the symptoms of ADHD. The disease is developing at preschool years and can even extend to adulthood when proper diagnosis is not provided. Hence detection of ADHD is very essential. ADHD detection can be done using EEG signal. In this review, we analysed the available research on deep and machine learning studies on diagnosing ADHD and found the various diagnostic setups that have been employed. The paper discusses the existing techniques present using different classifiers. It briefly explains the different methods when using Artificial Neural Network (ANN), Support Vector Machine (SVM) and Convolutional Neural Networks (CNN) as classifier. Comparative study on these methods were done and performance measures was increased over time.
{"title":"Comparative Study of Detection of ADHD using EEG Signals","authors":"Anchana V., Biju K. S.","doi":"10.1109/ICCC57789.2023.10165395","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165395","url":null,"abstract":"Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental irregularity which is complex, universal and heterogeneous. Inattention, hyperactivity and impulsiveness are some of the symptoms of ADHD. The disease is developing at preschool years and can even extend to adulthood when proper diagnosis is not provided. Hence detection of ADHD is very essential. ADHD detection can be done using EEG signal. In this review, we analysed the available research on deep and machine learning studies on diagnosing ADHD and found the various diagnostic setups that have been employed. The paper discusses the existing techniques present using different classifiers. It briefly explains the different methods when using Artificial Neural Network (ANN), Support Vector Machine (SVM) and Convolutional Neural Networks (CNN) as classifier. Comparative study on these methods were done and performance measures was increased over time.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115900598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10164995
Sandipan Dey, Avishek Munsi, Sushan Pradhan, K. Aditya
With the increasing need for packet deliveries, inspections, surveillance, crop spraying etc, the world is moving towards an unmanned aerial vehicle (UAV) or drone ecosystem which will require more workforce for manual plugin charging. Wireless Power Transfer is an inspiring technology for the autonomous charging of drones to reduce human interventions. However, the usage of drones is less widespread thanks to their short flight time of 30-40 minutes. In this paper drone to drone opportunity charging is studied to increase its flight time which is specifically relevant in multi-agent systems. A wireless bidirectional dual active bridge (DAB) converter is designed and simulated in MATLAB/SIMULINK.
{"title":"Bidirectional Wireless System for drone to drone opportunity charging in a multi agent system","authors":"Sandipan Dey, Avishek Munsi, Sushan Pradhan, K. Aditya","doi":"10.1109/ICCC57789.2023.10164995","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10164995","url":null,"abstract":"With the increasing need for packet deliveries, inspections, surveillance, crop spraying etc, the world is moving towards an unmanned aerial vehicle (UAV) or drone ecosystem which will require more workforce for manual plugin charging. Wireless Power Transfer is an inspiring technology for the autonomous charging of drones to reduce human interventions. However, the usage of drones is less widespread thanks to their short flight time of 30-40 minutes. In this paper drone to drone opportunity charging is studied to increase its flight time which is specifically relevant in multi-agent systems. A wireless bidirectional dual active bridge (DAB) converter is designed and simulated in MATLAB/SIMULINK.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132930976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10165058
Vikas Kumar, V. H, Arpana M K, T. Venkatamuni
Doppler Weather Radar (DWR) systems operates in S, C and X Band depending on geography and operational range. Synthesizer is a critical module in DWR system which is functional in multiple bands. The paper discusses about configurable synthesizer module which can work in S-band and L-Band with change in footprint compatible filters and software up-gradation. The module can be reconfigured and re-used for S-Band, C–Band and X-Band application. Along with adaptability, it should meet ultra-low phase noise requirements as well, which dictates performance of Radar to detect slow moving targets. The developed synthesizer module meets the system requirement of spurious suppression, phase noise and power requirement. Frequency controls, command and status exchanged over the high speed Ethernet protocol. Programmable and modular approach makes it SWaP (Size, weight, Power and Cost) synthesizer for DWR Systems.
{"title":"Configurable Synthesizer For DWR Application","authors":"Vikas Kumar, V. H, Arpana M K, T. Venkatamuni","doi":"10.1109/ICCC57789.2023.10165058","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165058","url":null,"abstract":"Doppler Weather Radar (DWR) systems operates in S, C and X Band depending on geography and operational range. Synthesizer is a critical module in DWR system which is functional in multiple bands. The paper discusses about configurable synthesizer module which can work in S-band and L-Band with change in footprint compatible filters and software up-gradation. The module can be reconfigured and re-used for S-Band, C–Band and X-Band application. Along with adaptability, it should meet ultra-low phase noise requirements as well, which dictates performance of Radar to detect slow moving targets. The developed synthesizer module meets the system requirement of spurious suppression, phase noise and power requirement. Frequency controls, command and status exchanged over the high speed Ethernet protocol. Programmable and modular approach makes it SWaP (Size, weight, Power and Cost) synthesizer for DWR Systems.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"74 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125993924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10165122
B. F. Mon, A. Wahyudie, R. Errouissi, Tuanku Badzlin Hashfi
The purpose of this study was to evaluate damping control utilizing various maximum power point tracking (MPPT) approaches for heaving wave energy converters (WEC). A DC–DC boost converter was used to implement damping control. A perturb and observe approach was used to find the duty cycle for the MPPT. The optimal performance index for the MPPT is determined by this assessment study, along with the appropriate position for the observation parameters. The observing parameters were assessed and evaluated in three locations (electrical variables at the load, electrical variables between the source and the load, and mechanical variables near the source). According to the findings, the MPPT strategy performs the best when considering the characteristics between the source and load, and using power maximization as the performance metric.
{"title":"Damping Control for Heaving Wave Energy Converters Using Maximum Power Point Tracking Methods","authors":"B. F. Mon, A. Wahyudie, R. Errouissi, Tuanku Badzlin Hashfi","doi":"10.1109/ICCC57789.2023.10165122","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165122","url":null,"abstract":"The purpose of this study was to evaluate damping control utilizing various maximum power point tracking (MPPT) approaches for heaving wave energy converters (WEC). A DC–DC boost converter was used to implement damping control. A perturb and observe approach was used to find the duty cycle for the MPPT. The optimal performance index for the MPPT is determined by this assessment study, along with the appropriate position for the observation parameters. The observing parameters were assessed and evaluated in three locations (electrical variables at the load, electrical variables between the source and the load, and mechanical variables near the source). According to the findings, the MPPT strategy performs the best when considering the characteristics between the source and load, and using power maximization as the performance metric.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10165397
G. P, Jaya S, Krishnakumar Rao S
In this paper, we outline the design and development of an area optimized Floating-Point Unit (FPU) in accordance with the IEEE 754-2008 standard. This FPU acts as a coprocessor for RISC-V ISA based VEGA processor. The FPU supports both in-order and out-of-order execution of 58 RISC-V floating-point instructions with partial pipelining.
{"title":"An Area Optimized Floating-Point Coprocessor for RISC-V Processor","authors":"G. P, Jaya S, Krishnakumar Rao S","doi":"10.1109/ICCC57789.2023.10165397","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165397","url":null,"abstract":"In this paper, we outline the design and development of an area optimized Floating-Point Unit (FPU) in accordance with the IEEE 754-2008 standard. This FPU acts as a coprocessor for RISC-V ISA based VEGA processor. The FPU supports both in-order and out-of-order execution of 58 RISC-V floating-point instructions with partial pipelining.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129792146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10164967
Shamila Naval MK, Thara R J
With the development of computer and information technology, diverse types of data are being created daily. This data along with big data technologies could give a lot of useful information when used right. To make this possible, many data trading platforms exist now. But since these systems are based on a third party platform who collect and trade data, there are many privacy and security concerns. To solve these problems, blockchain technology have been being proposed. The decentralised and transparent nature of blockchain could help to solve many security concerns. In this work, we provide a survey on data trading systems which utilize blockchain as the primary entity for trust-enabling to avoid any intermediaries. We provide an overview of blockchain technology and discuss the working and limitations of the centralized data trading systems. Also, we provide insights into DApp and Ethereum blockchain.
{"title":"A Survey on Integration of Blockchain in Data Trading Industry","authors":"Shamila Naval MK, Thara R J","doi":"10.1109/ICCC57789.2023.10164967","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10164967","url":null,"abstract":"With the development of computer and information technology, diverse types of data are being created daily. This data along with big data technologies could give a lot of useful information when used right. To make this possible, many data trading platforms exist now. But since these systems are based on a third party platform who collect and trade data, there are many privacy and security concerns. To solve these problems, blockchain technology have been being proposed. The decentralised and transparent nature of blockchain could help to solve many security concerns. In this work, we provide a survey on data trading systems which utilize blockchain as the primary entity for trust-enabling to avoid any intermediaries. We provide an overview of blockchain technology and discuss the working and limitations of the centralized data trading systems. Also, we provide insights into DApp and Ethereum blockchain.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130643715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10164948
M. M, H. Kumar R
The high torque ripples developed in the switched reluctance motor (SRM) limit its usage for high-performance applications. The methods designed to lower the torque ripple affects the efficiency of drive system. This paper introduces a comprehensive analysis of particle swarm optimization (PSO) based tuning of the hysteresis current controller and direct instantaneous torque controller for a 4-phase 8/6 SRM. The controller parameters and commutation angles are optimized for reduced torque ripple, improved efficiency, and better steady-state performance. Simulations are run in the MATLAB/SIMULINK environment and the results support the efficacy of the suggested method.
{"title":"A Multi-Objective Particle Swarm Optimization based Current Control and Torque Control for 8/6 Switched Reluctance Motor","authors":"M. M, H. Kumar R","doi":"10.1109/ICCC57789.2023.10164948","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10164948","url":null,"abstract":"The high torque ripples developed in the switched reluctance motor (SRM) limit its usage for high-performance applications. The methods designed to lower the torque ripple affects the efficiency of drive system. This paper introduces a comprehensive analysis of particle swarm optimization (PSO) based tuning of the hysteresis current controller and direct instantaneous torque controller for a 4-phase 8/6 SRM. The controller parameters and commutation angles are optimized for reduced torque ripple, improved efficiency, and better steady-state performance. Simulations are run in the MATLAB/SIMULINK environment and the results support the efficacy of the suggested method.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128998851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10165457
Rinu Chacko, R. V. Binoj, P. E. Ameenudeen
Gyroscopes are sensors used to measure angular rate and find wide application in the aerospace industry. MEMS Gyroscopes have various advantages of lesser cost, mass, size, power but with a corresponding decrease in performance parameters. Noise is a limiting factor in MEMS sensors leading to poor Drift Stability, higher Angular and Rate random walks which will in turn affect the output of the sensors. Also, the thermal effect on MEMS sensors is well-documented as a limitation to their wide deployment as sensors in uncontrolled environments. A novel digital filtering method is introduced and carried out on the data, and by means of trimming the filter parameters, processed data of different bandwidth was obtained. Statistical measurements were done on the processed data and 90 percent improvement was obtained in the short-term stability, which highlights the efficiency of the filtering process. A temperature control algorithm is introduced for operation of sensor at stable temperature. Also, a Neural Network based learning approach is used to train the data with respect to temperature as the major parameter. When it was tested with original sensor data, a 100percent improvement in short term stability was obtained.
{"title":"Performance Improvement of a MEMS Gyroscope Using Filtering and Machine Learning Methods","authors":"Rinu Chacko, R. V. Binoj, P. E. Ameenudeen","doi":"10.1109/ICCC57789.2023.10165457","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165457","url":null,"abstract":"Gyroscopes are sensors used to measure angular rate and find wide application in the aerospace industry. MEMS Gyroscopes have various advantages of lesser cost, mass, size, power but with a corresponding decrease in performance parameters. Noise is a limiting factor in MEMS sensors leading to poor Drift Stability, higher Angular and Rate random walks which will in turn affect the output of the sensors. Also, the thermal effect on MEMS sensors is well-documented as a limitation to their wide deployment as sensors in uncontrolled environments. A novel digital filtering method is introduced and carried out on the data, and by means of trimming the filter parameters, processed data of different bandwidth was obtained. Statistical measurements were done on the processed data and 90 percent improvement was obtained in the short-term stability, which highlights the efficiency of the filtering process. A temperature control algorithm is introduced for operation of sensor at stable temperature. Also, a Neural Network based learning approach is used to train the data with respect to temperature as the major parameter. When it was tested with original sensor data, a 100percent improvement in short term stability was obtained.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126855681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1109/ICCC57789.2023.10165112
A. M, Joaquim Ignatious Monteiro
The prevalence of falls among older adults is a significant concern for healthcare professionals and researchers. Preventing fall-related injuries and deaths requires accurate and efficient fall detection systems. This paper proposes a novel approach for multi-class fall detection using machine learning techniques with the FallAIID dataset, evaluates its performances, and proposes an efficient low-cost prototype hardware system. The proposed method leverages the unique characteristics of the FallAIID dataset to accurately classify different types of falls and daily activities with an accuracy of 96% for wrist-worn devices and 95% for neck and waist worn devices. The results of our evaluation demonstrate the effectiveness of our approach and its potential to improve fall detection in real-world settings.
{"title":"Multi-Class Fall Detection Based on Machine Learning by using FallAIID dataset","authors":"A. M, Joaquim Ignatious Monteiro","doi":"10.1109/ICCC57789.2023.10165112","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165112","url":null,"abstract":"The prevalence of falls among older adults is a significant concern for healthcare professionals and researchers. Preventing fall-related injuries and deaths requires accurate and efficient fall detection systems. This paper proposes a novel approach for multi-class fall detection using machine learning techniques with the FallAIID dataset, evaluates its performances, and proposes an efficient low-cost prototype hardware system. The proposed method leverages the unique characteristics of the FallAIID dataset to accurately classify different types of falls and daily activities with an accuracy of 96% for wrist-worn devices and 95% for neck and waist worn devices. The results of our evaluation demonstrate the effectiveness of our approach and its potential to improve fall detection in real-world settings.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123084563","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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