Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642658
S. M. Sanzad Lumen, R. Kannan, N. Yahaya
DC power system has gained vast popularity thanks to the enormous development of power electronics. DC converters, appliances, equipment etc. are also getting immense attention in the research arena. Protecting a DC power system from fault is an emerging area that needs to be explored and developed further. DC Circuit Breaker (DCCB) is one such sophisticated technology that plays a very important role in circuit protection as well as in normal load switching. But its quite challenging to design a dc circuit breaker. First of all, unlike AC current, DC current does not have any natural zero crossing point hence, this current can not be broken safely by conventional AC circuit breaker. Furthermore, DC network possesses a significant amount of network inductances which stores energy in terms of current. Sudden current breaking during DCCB tripping is opposed by this stored energy. Hence, this energy needs to be removed from the network and literature review shows that all the conventional topologies dissipate this stored energy as heat by using either snubber network or nonlinear resistor. However, this energy can be stored and reused later by using reactive element instead of resistive element. The prospects and technique of energy recovery and reuse in a DCCB is studied in this paper and accordingly a new DCCB topology with energy regeneration capability is proposed. The proposed topology is capable of feeding the stored energy of the network back into the same network during every current breaking operation.
{"title":"Prospects and Techniques of Regenerative Current Breaking in DC Circuit Breaker Topology","authors":"S. M. Sanzad Lumen, R. Kannan, N. Yahaya","doi":"10.1109/ICIAS49414.2021.9642658","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642658","url":null,"abstract":"DC power system has gained vast popularity thanks to the enormous development of power electronics. DC converters, appliances, equipment etc. are also getting immense attention in the research arena. Protecting a DC power system from fault is an emerging area that needs to be explored and developed further. DC Circuit Breaker (DCCB) is one such sophisticated technology that plays a very important role in circuit protection as well as in normal load switching. But its quite challenging to design a dc circuit breaker. First of all, unlike AC current, DC current does not have any natural zero crossing point hence, this current can not be broken safely by conventional AC circuit breaker. Furthermore, DC network possesses a significant amount of network inductances which stores energy in terms of current. Sudden current breaking during DCCB tripping is opposed by this stored energy. Hence, this energy needs to be removed from the network and literature review shows that all the conventional topologies dissipate this stored energy as heat by using either snubber network or nonlinear resistor. However, this energy can be stored and reused later by using reactive element instead of resistive element. The prospects and technique of energy recovery and reuse in a DCCB is studied in this paper and accordingly a new DCCB topology with energy regeneration capability is proposed. The proposed topology is capable of feeding the stored energy of the network back into the same network during every current breaking operation.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114500020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642629
S. A. Magsi, N. Saad, M. Khir, G. Witjaksono, M. A. Siddiqui, Linta Sameer
Car navigation systems have made place everywhere around the globe. Outdoor navigation systems can be widely located in almost every geographical location that has access to the internet. However, indoor navigation system is very important for the pedestrians to find out their ways in complicated indoor areas such as shopping malls, subways, universities, exhibitions, underground areas, and tunnels etc. The recent rapid expansion of Wi-Fi zones and the increase of Wi-Fi equipped smartphones have enabled transformation of this idea to the reality. This work presents university indoor navigation system designed to help students, staff, and visitors to find their desired location. The work shows promising results when using distance measuring algorithm, the Trilateration, and the ITU-R P.1238 model together using the Network Simulator 2 “NS2” for the indoor navigation.
{"title":"Wi-Fi Based Indoor Navigation System For Campus Directions","authors":"S. A. Magsi, N. Saad, M. Khir, G. Witjaksono, M. A. Siddiqui, Linta Sameer","doi":"10.1109/ICIAS49414.2021.9642629","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642629","url":null,"abstract":"Car navigation systems have made place everywhere around the globe. Outdoor navigation systems can be widely located in almost every geographical location that has access to the internet. However, indoor navigation system is very important for the pedestrians to find out their ways in complicated indoor areas such as shopping malls, subways, universities, exhibitions, underground areas, and tunnels etc. The recent rapid expansion of Wi-Fi zones and the increase of Wi-Fi equipped smartphones have enabled transformation of this idea to the reality. This work presents university indoor navigation system designed to help students, staff, and visitors to find their desired location. The work shows promising results when using distance measuring algorithm, the Trilateration, and the ITU-R P.1238 model together using the Network Simulator 2 “NS2” for the indoor navigation.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122122314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642589
M. A. Ishak, I. Ismail, Tareq Aziz AL-Qutami
This study aims to evaluate two independent approaches of Virtual Flow Meter (VFM) i. e., using Transient Multiphase Flow Simulator (TMFS) and data-driven using Diverse Ensemble Learning Neural Network (DELNN). The main objective of using the Virtual Flow Meter (VFM) developed from this study is to implement in real time as a mean of troubleshooting and validating the measurement provided by a physical Multiphase Flow Meter (MPFM) for well testing operation. The result of the study showed both VFM flow rate estimates were less than 10% of full-scale errorfor both oil and gas flow rates compared to the measured flow rate respectively. Additionally, both VFM also independently managed to track a similar trend of deviation in gas flow rate which help to identify failure in the Multiphase Flow Meter (MPFM) internal measurement devices. The result of the study proved that by employing two independent VFM approaches in parallel, we could position VFM with higher confidence as a reliable solution either as a backup or as a mean of troubleshooting solution to physical MPFM as well as an analytic tool to plan well testing procedure.
{"title":"Data Driven Versus Transient Multiphase Flow Simulator for Virtual Flow Meter Application","authors":"M. A. Ishak, I. Ismail, Tareq Aziz AL-Qutami","doi":"10.1109/ICIAS49414.2021.9642589","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642589","url":null,"abstract":"This study aims to evaluate two independent approaches of Virtual Flow Meter (VFM) i. e., using Transient Multiphase Flow Simulator (TMFS) and data-driven using Diverse Ensemble Learning Neural Network (DELNN). The main objective of using the Virtual Flow Meter (VFM) developed from this study is to implement in real time as a mean of troubleshooting and validating the measurement provided by a physical Multiphase Flow Meter (MPFM) for well testing operation. The result of the study showed both VFM flow rate estimates were less than 10% of full-scale errorfor both oil and gas flow rates compared to the measured flow rate respectively. Additionally, both VFM also independently managed to track a similar trend of deviation in gas flow rate which help to identify failure in the Multiphase Flow Meter (MPFM) internal measurement devices. The result of the study proved that by employing two independent VFM approaches in parallel, we could position VFM with higher confidence as a reliable solution either as a backup or as a mean of troubleshooting solution to physical MPFM as well as an analytic tool to plan well testing procedure.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131187830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642690
J. Yip, F.A. Faisal, M. A. Zakariya, M. Khir, M. Nor, A. Khairuddin, B. Rani, K. Aḥmad, G. Witjaksono
In wireless technology, microstrip Yagi antenna is one of the recent technologies that are used to obtain an efficient performance of the antenna. This paper provides a simulation and design works and prototype fabrication of Microstrip Yagi antenna for 4G communication applications. The microstrip Yagi antenna have limitation of having a narrow impedance bandwidth which is not suitable for wide bandwidth applications. In this project a technique for bandwidth enhancement and obtaining a good return loss are studied. The expectation of design had obtained a wider bandwidth and a higher gain with an operating frequency range within 4G Long-Term Evolution (LTE) frequency band. Several parametric studies of the proposed configuration were carried out to characterize the antennas and to verify the simulation result. The final result produces a good return loss and bandwidth which operates at frequency of 2.67 GHz with impedance bandwidth of 0.27 GHz. The antenna is fabricated, and the performance of the antenna is tested and measured. The result shows a closed agreement with simulated result.
{"title":"Development of Microstrip Yagi Antenna for 4G Application","authors":"J. Yip, F.A. Faisal, M. A. Zakariya, M. Khir, M. Nor, A. Khairuddin, B. Rani, K. Aḥmad, G. Witjaksono","doi":"10.1109/ICIAS49414.2021.9642690","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642690","url":null,"abstract":"In wireless technology, microstrip Yagi antenna is one of the recent technologies that are used to obtain an efficient performance of the antenna. This paper provides a simulation and design works and prototype fabrication of Microstrip Yagi antenna for 4G communication applications. The microstrip Yagi antenna have limitation of having a narrow impedance bandwidth which is not suitable for wide bandwidth applications. In this project a technique for bandwidth enhancement and obtaining a good return loss are studied. The expectation of design had obtained a wider bandwidth and a higher gain with an operating frequency range within 4G Long-Term Evolution (LTE) frequency band. Several parametric studies of the proposed configuration were carried out to characterize the antennas and to verify the simulation result. The final result produces a good return loss and bandwidth which operates at frequency of 2.67 GHz with impedance bandwidth of 0.27 GHz. The antenna is fabricated, and the performance of the antenna is tested and measured. The result shows a closed agreement with simulated result.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133189671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642593
Saud Wasly
Full-System simulators remain essential tools to quickly design and test novel architectural ideas. This work introduces a system-level hardware modeling and simulation framework with an emphasis on ease of use. It is entirely based on Python to improve developer productivity. At the same time, meta-tracing JIT compilation techniques are used to improve simulation speed without losing timing accuracy. The proposed framework supports modeling components ranging from cycle-accurate to purely functional. The simulation engine combines time-driven simulation with transaction-level modeling to allow for precise timing estimates without compromising simulation speed. The engine also supports multi-threaded execution for multi-master systems.
{"title":"ERAsim: A Flexible Python-based Architectural Modeling and Simulation Framework","authors":"Saud Wasly","doi":"10.1109/ICIAS49414.2021.9642593","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642593","url":null,"abstract":"Full-System simulators remain essential tools to quickly design and test novel architectural ideas. This work introduces a system-level hardware modeling and simulation framework with an emphasis on ease of use. It is entirely based on Python to improve developer productivity. At the same time, meta-tracing JIT compilation techniques are used to improve simulation speed without losing timing accuracy. The proposed framework supports modeling components ranging from cycle-accurate to purely functional. The simulation engine combines time-driven simulation with transaction-level modeling to allow for precise timing estimates without compromising simulation speed. The engine also supports multi-threaded execution for multi-master systems.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642689
Nivesh Gadipudi, I. Elamvazuthi, Cheng-Kai Lu, S. Paramasivam, R. Jegadeeshwaran
Neural networks proved their ability in complex classification and regression problems using labeled data. Recent trends have shown the impressive performance of neural networks in more complex problems like estimating ego-motion and homography tasks. Due to complexity and time consumption for labeling data, researchers tend to exhibit their attentiveness towards unsupervised data-based learning. However, there are no standard loss functions used for image reconstruction and less attention is drawn towards the loss functions than the end to end network architectures. In this paper, we carefully analyze and evaluate the two most commonly used loss functions for the homography estimation task.
{"title":"Analysis of Unsupervised Loss Functions for Homography Estimation","authors":"Nivesh Gadipudi, I. Elamvazuthi, Cheng-Kai Lu, S. Paramasivam, R. Jegadeeshwaran","doi":"10.1109/ICIAS49414.2021.9642689","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642689","url":null,"abstract":"Neural networks proved their ability in complex classification and regression problems using labeled data. Recent trends have shown the impressive performance of neural networks in more complex problems like estimating ego-motion and homography tasks. Due to complexity and time consumption for labeling data, researchers tend to exhibit their attentiveness towards unsupervised data-based learning. However, there are no standard loss functions used for image reconstruction and less attention is drawn towards the loss functions than the end to end network architectures. In this paper, we carefully analyze and evaluate the two most commonly used loss functions for the homography estimation task.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120909645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642574
A. Khairuddin, F.A. Faisal, M. A. Zakariya, J. H. Y. Jenn, M. Khir, M. F. M Nor, A. Alias, M. Adli, G. Witjaksono
Microstrip Yagi antenna has been actively developed for point-to-point communication due to its end fire radiation characteristics. In order to achieve a compact size of Yagi design with efficient performance, the structure and its tuning parameters of the design needs to be analyze and properly tuned for achieving higher gain in forward direction. This paper provides an analysis of tuning parameter for microstrip Yagi antenna design which operates at resonant frequency of 2.60 GHz using CST simulation tools. The technique achieved impedance bandwidth of 0.27 GHz and a good return loss level. The antenna achieved directional radiation with gain of 6.51 dBi. In this paper, the critical design parameters of the proposed antenna are analyzed to characterize the antenna performance accordingly.
{"title":"Analysis of Tuning Parameters for Compact Size Microstrip Yagi Antenna","authors":"A. Khairuddin, F.A. Faisal, M. A. Zakariya, J. H. Y. Jenn, M. Khir, M. F. M Nor, A. Alias, M. Adli, G. Witjaksono","doi":"10.1109/ICIAS49414.2021.9642574","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642574","url":null,"abstract":"Microstrip Yagi antenna has been actively developed for point-to-point communication due to its end fire radiation characteristics. In order to achieve a compact size of Yagi design with efficient performance, the structure and its tuning parameters of the design needs to be analyze and properly tuned for achieving higher gain in forward direction. This paper provides an analysis of tuning parameter for microstrip Yagi antenna design which operates at resonant frequency of 2.60 GHz using CST simulation tools. The technique achieved impedance bandwidth of 0.27 GHz and a good return loss level. The antenna achieved directional radiation with gain of 6.51 dBi. In this paper, the critical design parameters of the proposed antenna are analyzed to characterize the antenna performance accordingly.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129669433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642696
M. S. Al-Quraishi, I. Elamvazuthi, T. Tang, Muhammad Al-Qurishi, S. Parasuraman, A. Borboni
In contrast to other brain imaging methods, electroencephalography (EEG) has become a feasible method for investigating brain activity and is an interesting modality for brain-machine interfaces (BMIs) due to its portability and high temporal resolution. In this work, sensorimotor rhythms (SMR) signal was utilized to classify ankle joint movements. To achieve this goal the EEG signal in the motor cortex area was measured using 21 electrodes during the motor execution task of ankle joint movements. The event-related (de)synchronization (ERD/ ERS) technique was utilized to quantify the event-related in relation to EEG power changes. Inter and intralimb ankle movements were detected and classified. The results show interlimb movements can be recognized better than intralimb movements. Where the average classification accuracy of the interlimb movements was 89.44 ± 10.26% and 84.83 ± 13.65% for the intralimb movements.
{"title":"Detection of Lower Limb Movements using Sensorimotor Rhythms","authors":"M. S. Al-Quraishi, I. Elamvazuthi, T. Tang, Muhammad Al-Qurishi, S. Parasuraman, A. Borboni","doi":"10.1109/ICIAS49414.2021.9642696","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642696","url":null,"abstract":"In contrast to other brain imaging methods, electroencephalography (EEG) has become a feasible method for investigating brain activity and is an interesting modality for brain-machine interfaces (BMIs) due to its portability and high temporal resolution. In this work, sensorimotor rhythms (SMR) signal was utilized to classify ankle joint movements. To achieve this goal the EEG signal in the motor cortex area was measured using 21 electrodes during the motor execution task of ankle joint movements. The event-related (de)synchronization (ERD/ ERS) technique was utilized to quantify the event-related in relation to EEG power changes. Inter and intralimb ankle movements were detected and classified. The results show interlimb movements can be recognized better than intralimb movements. Where the average classification accuracy of the interlimb movements was 89.44 ± 10.26% and 84.83 ± 13.65% for the intralimb movements.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"141 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129137757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642579
F. Masood, P. Nallagownden, I. Elamvazuthi, J. Akhter, Mohammad Azad Alam, Mohammad Yusuf
This paper presents the design process and analyses the interrelationship amongst the critical design parameters of a low concentration Compound Parabolic Concentrator well suited for rooftop photovoltaic applications. The compound parabolic concentrator (CPC) is a non-imaging concentrator used to effectively concentrate solar radiation over a photovoltaic module to obtain a larger output with fewer PV cells. The CPC, intended for PV applications, was designed for an absorber width of78 mm and an acceptance half-angle of200. A MATLAB code was developed to generate a CPC profile using design equations. The implications of diverse design parameters for CPC height, entry aperture width, and total mirror area were examined. The designed concentrator was then truncated to achieve material saving and avoid multiple reflections of incident rays to obtain better optical efficiency. The repercussions of truncating the upper portions of CPC were investigated to determine the optimum truncation position. The truncated CPC height for different truncation positions was compared with full height. The height and aperture width were computed for different acceptance half-angles and concentration ratios. The effect of PV absorber width on the entry aperture and total height was also analyzed. The interrelationship between optical concentration ratio and acceptance half-angle was demonstrated for various acceptance half-angles. The resulting two-dimensional geometry is best suited for PV applications.
{"title":"Design and Parametric Analysis of Compound Parabolic Concentrator for Photovoltaic Applications","authors":"F. Masood, P. Nallagownden, I. Elamvazuthi, J. Akhter, Mohammad Azad Alam, Mohammad Yusuf","doi":"10.1109/ICIAS49414.2021.9642579","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642579","url":null,"abstract":"This paper presents the design process and analyses the interrelationship amongst the critical design parameters of a low concentration Compound Parabolic Concentrator well suited for rooftop photovoltaic applications. The compound parabolic concentrator (CPC) is a non-imaging concentrator used to effectively concentrate solar radiation over a photovoltaic module to obtain a larger output with fewer PV cells. The CPC, intended for PV applications, was designed for an absorber width of78 mm and an acceptance half-angle of200. A MATLAB code was developed to generate a CPC profile using design equations. The implications of diverse design parameters for CPC height, entry aperture width, and total mirror area were examined. The designed concentrator was then truncated to achieve material saving and avoid multiple reflections of incident rays to obtain better optical efficiency. The repercussions of truncating the upper portions of CPC were investigated to determine the optimum truncation position. The truncated CPC height for different truncation positions was compared with full height. The height and aperture width were computed for different acceptance half-angles and concentration ratios. The effect of PV absorber width on the entry aperture and total height was also analyzed. The interrelationship between optical concentration ratio and acceptance half-angle was demonstrated for various acceptance half-angles. The resulting two-dimensional geometry is best suited for PV applications.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131208969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642667
M. Ahmad, M. S. Muhamed Ali Cader, Z. A. Mohammad Khairuddin
Wireless sensor nodes (WSN) are usually used for the bridge monitoring system. The traditional way to supply power to these wireless sensor nodes by using the battery should be eliminated due to their disadvantages in terms of environmental health. Thus, an energy harvesting system has attracted interests among researchers due to its sustainability. Among all renewable energies, vibration energy is the most preferable energy for the application of the bridge sensor. Vibration energy consists of four transduction mechanisms which are piezoelectric, electromagnetic, electrostatic and magnetostrictive. In this paper, vibration energy harvesting is discussed by focusing on the hybrid energy harvester through the combination of piezoelectric and magnetostrictive transduction to enhance the output performance of the system. Hybrid structure based on piezoelectric and magnetostrictive mechanisms will be investigated in detail by focusing on their structure and the material to achieve the optimum output power than the conventional energy harvester. The spiral rectangular beam is designed and simulated by using the ANSYS software to get their resonance frequency value and frequency response for the beam. Simulation results show that the spiral rectangular design and lead zirconate titanate (PZT-5A) material proved promising results to obtain the optimum output power. For the magnetostrictive part, the ferromagnetic material has been replaced with the beryllium copper. Thus, distance of the magnet plays an important role for the optimum output power due to the presence of the magnetic flux density.
{"title":"Modeling of the Hybrid Vibration-based Energy Harvester for Self-Powered IoT Sensor","authors":"M. Ahmad, M. S. Muhamed Ali Cader, Z. A. Mohammad Khairuddin","doi":"10.1109/ICIAS49414.2021.9642667","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642667","url":null,"abstract":"Wireless sensor nodes (WSN) are usually used for the bridge monitoring system. The traditional way to supply power to these wireless sensor nodes by using the battery should be eliminated due to their disadvantages in terms of environmental health. Thus, an energy harvesting system has attracted interests among researchers due to its sustainability. Among all renewable energies, vibration energy is the most preferable energy for the application of the bridge sensor. Vibration energy consists of four transduction mechanisms which are piezoelectric, electromagnetic, electrostatic and magnetostrictive. In this paper, vibration energy harvesting is discussed by focusing on the hybrid energy harvester through the combination of piezoelectric and magnetostrictive transduction to enhance the output performance of the system. Hybrid structure based on piezoelectric and magnetostrictive mechanisms will be investigated in detail by focusing on their structure and the material to achieve the optimum output power than the conventional energy harvester. The spiral rectangular beam is designed and simulated by using the ANSYS software to get their resonance frequency value and frequency response for the beam. Simulation results show that the spiral rectangular design and lead zirconate titanate (PZT-5A) material proved promising results to obtain the optimum output power. For the magnetostrictive part, the ferromagnetic material has been replaced with the beryllium copper. Thus, distance of the magnet plays an important role for the optimum output power due to the presence of the magnetic flux density.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131616943","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：