Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250929
Nik Sahidah Nik Ahmad, N. H. Radzi, M. N. Abdullah, K. R. Wagiman, S. Salimin, M. N. Ismail
The lighting system is one of the main systems in the building and contributes a considerable amount of energy. Therefore, the daylight harvesting system (DHS) is vital in the lighting system for control and minimize energy consumption from artificial lighting. The main objective of the lighting system is to minimize the dimming level of the luminaires. The optimization method was used in this research to solve the problem formulation in the lighting control system. There are several benefits by using optimization methods such as energy-saving while fulfilling the standard of the average illuminance level based on the European Standard EN12464-1 for the occupancy comfort. In this research, the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO) algorithm were compared in order to determine the best optimization method which can solve the problem formulation in the lighting system. The simulation result for FA and PSO has been carried out using MATLAB software. Based on the results, the PSO algorithm shows high performance compared to FA method in order to minimize the dimming level.
{"title":"Assessment on the Optimal Dimming Level in Lighting System between Firefly Algorithm and Particle Swarm Optimization Algorithm","authors":"Nik Sahidah Nik Ahmad, N. H. Radzi, M. N. Abdullah, K. R. Wagiman, S. Salimin, M. N. Ismail","doi":"10.1109/SCOReD50371.2020.9250929","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250929","url":null,"abstract":"The lighting system is one of the main systems in the building and contributes a considerable amount of energy. Therefore, the daylight harvesting system (DHS) is vital in the lighting system for control and minimize energy consumption from artificial lighting. The main objective of the lighting system is to minimize the dimming level of the luminaires. The optimization method was used in this research to solve the problem formulation in the lighting control system. There are several benefits by using optimization methods such as energy-saving while fulfilling the standard of the average illuminance level based on the European Standard EN12464-1 for the occupancy comfort. In this research, the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO) algorithm were compared in order to determine the best optimization method which can solve the problem formulation in the lighting system. The simulation result for FA and PSO has been carried out using MATLAB software. Based on the results, the PSO algorithm shows high performance compared to FA method in order to minimize the dimming level.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116133429","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250960
G. Asadullah, Md. Shazzadul Islam, M. R. Islam, Asif Jamil Sahad, Md. Abu Tayab Sakib
The proposed assembly comprises of 2 × 2 antenna elements with defected ground structure (DGS) to resonate at 5.8 GHz for WLAN application, where each antenna element excited by inset feeding technique. The proposed MIMO array has achieved - 10 dB bandwidth of 85 MHz with 36.5% reduction in antenna area with similar radiating element. Besides, the proposed design also achieved high radiation efficiency of 95% with a peak directivity of 11.94 dBi. The antenna resonates at the designated frequency with a minimum return loss of - 42dB. The results include parametric study by subtracting more slots from the ground and placed them in horizontal direction. The obtained antenna array can be used for WLAN application with low manufacturing cost.
{"title":"DGS-Based Quad Element Planar Array for WLAN Application with Enhanced Performance","authors":"G. Asadullah, Md. Shazzadul Islam, M. R. Islam, Asif Jamil Sahad, Md. Abu Tayab Sakib","doi":"10.1109/SCOReD50371.2020.9250960","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250960","url":null,"abstract":"The proposed assembly comprises of 2 × 2 antenna elements with defected ground structure (DGS) to resonate at 5.8 GHz for WLAN application, where each antenna element excited by inset feeding technique. The proposed MIMO array has achieved - 10 dB bandwidth of 85 MHz with 36.5% reduction in antenna area with similar radiating element. Besides, the proposed design also achieved high radiation efficiency of 95% with a peak directivity of 11.94 dBi. The antenna resonates at the designated frequency with a minimum return loss of - 42dB. The results include parametric study by subtracting more slots from the ground and placed them in horizontal direction. The obtained antenna array can be used for WLAN application with low manufacturing cost.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126201615","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250989
Talib M. Abbas, Faizan Qamar, M. N. Hindia, R. Hassan, I. Ahmed, M. Aslam
The drastic increase in the number of wireless devices and bandwidth requirements, most networks have evolved to distributed networks rather than central client-server configuration. In order to cater a larger number of devices, that is not centrally controlled, a routing scheme is needed that can work with limited configured devices, supports fully dynamic and distributed configurations, and does not overwhelm the network with control messages for the destination that exists in the network but has no message to send. Similarly, this work is focusing on performance analysis of Ad hoc on-demand Distance Vector (AODV) routing protocol to create a mobile ad hoc network (MANET) environment. The simulation has been designed for the real environment of NED University of Engineering and Technology, Karachi, Pakistan, where several buildings of various departments need to communicate with each other without compromising the node's performance with the change in the network occur. The simulation results show that the AODV provides better network performance with fewer packet drops and consistent throughput through the network for varying speeds and locations. The results proved that as compared to Destination-Sequenced Distance Vector (DSDV), the end-to-end delay had shown not much improvement, but comparative delays are observed.
{"title":"Performance Analysis of Ad Hoc on-Demand Distance Vector Routing Protocol for MANET","authors":"Talib M. Abbas, Faizan Qamar, M. N. Hindia, R. Hassan, I. Ahmed, M. Aslam","doi":"10.1109/SCOReD50371.2020.9250989","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250989","url":null,"abstract":"The drastic increase in the number of wireless devices and bandwidth requirements, most networks have evolved to distributed networks rather than central client-server configuration. In order to cater a larger number of devices, that is not centrally controlled, a routing scheme is needed that can work with limited configured devices, supports fully dynamic and distributed configurations, and does not overwhelm the network with control messages for the destination that exists in the network but has no message to send. Similarly, this work is focusing on performance analysis of Ad hoc on-demand Distance Vector (AODV) routing protocol to create a mobile ad hoc network (MANET) environment. The simulation has been designed for the real environment of NED University of Engineering and Technology, Karachi, Pakistan, where several buildings of various departments need to communicate with each other without compromising the node's performance with the change in the network occur. The simulation results show that the AODV provides better network performance with fewer packet drops and consistent throughput through the network for varying speeds and locations. The results proved that as compared to Destination-Sequenced Distance Vector (DSDV), the end-to-end delay had shown not much improvement, but comparative delays are observed.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125932806","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 : 2020-09-27DOI: 10.1109/scored50371.2020.9250995
{"title":"SCOReD 2020 Index","authors":"","doi":"10.1109/scored50371.2020.9250995","DOIUrl":"https://doi.org/10.1109/scored50371.2020.9250995","url":null,"abstract":"","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129263255","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250950
A. Zainuddin, Sakthyvell Superamaniam, Andrea Christella Andrew, Raman Muraleedharan, John Rakshys, Juana Miriam, M. A. S. M. Bostomi, Anas Mustaqim Ahmad Rais, Z. Khalidin, A. Mansor, Muhammad Syamsi Mohd Taufik
Patient monitoring is a pivotal part of the healthcare system nowadays, either at hospitals or at home. Critical patients require to be monitored consistently and less human involvement, 24 hours a day to enable them to get medical assistance in the moment of need. However, these types of services are only available in private hospitals. Typically, there is a small number of patients in private hospitals, especially from the higher socio-economic backgrounds. Conversely, in public hospital, a huge number of patients require medical attention due to the imbalance between staff to patient ratio. The patient monitoring system is restricted when they are asleep or unconscious due to incapability to call for assistance during an emergency. This may delay the treatment as the medical staff are unaware of the patients’ condition, hence resulting fatality. This work proposes a smart integrated patient monitoring system that automatically detects patient’s emotional state and heartbeat levels through face recognition algorithms, heartbeat and temperature sensors. A Raspberry Pi and NodeMCU are used as client nodes to collect the patient data. These data are then transmitted to an IoT cloud for realtime visualization. Through this monitoring system, critical patients can get immediate attention without the requirement of the staff being present there 24 hours a day. This system offers a faster response from medical staff to provide treatment in critical times.
{"title":"Patient Monitoring System using Computer Vision for Emotional Recognition and Vital Signs Detection","authors":"A. Zainuddin, Sakthyvell Superamaniam, Andrea Christella Andrew, Raman Muraleedharan, John Rakshys, Juana Miriam, M. A. S. M. Bostomi, Anas Mustaqim Ahmad Rais, Z. Khalidin, A. Mansor, Muhammad Syamsi Mohd Taufik","doi":"10.1109/SCOReD50371.2020.9250950","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250950","url":null,"abstract":"Patient monitoring is a pivotal part of the healthcare system nowadays, either at hospitals or at home. Critical patients require to be monitored consistently and less human involvement, 24 hours a day to enable them to get medical assistance in the moment of need. However, these types of services are only available in private hospitals. Typically, there is a small number of patients in private hospitals, especially from the higher socio-economic backgrounds. Conversely, in public hospital, a huge number of patients require medical attention due to the imbalance between staff to patient ratio. The patient monitoring system is restricted when they are asleep or unconscious due to incapability to call for assistance during an emergency. This may delay the treatment as the medical staff are unaware of the patients’ condition, hence resulting fatality. This work proposes a smart integrated patient monitoring system that automatically detects patient’s emotional state and heartbeat levels through face recognition algorithms, heartbeat and temperature sensors. A Raspberry Pi and NodeMCU are used as client nodes to collect the patient data. These data are then transmitted to an IoT cloud for realtime visualization. Through this monitoring system, critical patients can get immediate attention without the requirement of the staff being present there 24 hours a day. This system offers a faster response from medical staff to provide treatment in critical times.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131250724","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250956
A. S. Bakri, N. Nayan, A. Bakar, Z. Azman, N. A. Raship, Muliana Tahan, R. Ali
The GaN is considered by many as it has demonstrated the capability to be the displacement technology for silicon semiconductor in power electronic devices and light emitting diodes. In this project, heterostructure of GaN/AlN were deposited using RF magnetron sputtering at room temperature and its properties was studied. The structural and surface roughness of the deposited films were studied using X-ray diffraction (XRD) and atomic force microscope (AFM). Additionally, cross-sectional of field emission scanning electron microscope (FESEM) was used for the measurement of GaN/AlN thickness. The XRD results show that the deposited GaN is amorphous while the surface roughness and grain size are in the of $sim 2$ nm and 60 nm, respectively. The surface topography observed using AFM shows that the GaN/AlN has homogenous structure while FESEM images show that the GaN/AlN film has pebble like structure.
{"title":"Structural properties and surface roughness of heterostructure GaN/AlN on Si (100) substrate","authors":"A. S. Bakri, N. Nayan, A. Bakar, Z. Azman, N. A. Raship, Muliana Tahan, R. Ali","doi":"10.1109/SCOReD50371.2020.9250956","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250956","url":null,"abstract":"The GaN is considered by many as it has demonstrated the capability to be the displacement technology for silicon semiconductor in power electronic devices and light emitting diodes. In this project, heterostructure of GaN/AlN were deposited using RF magnetron sputtering at room temperature and its properties was studied. The structural and surface roughness of the deposited films were studied using X-ray diffraction (XRD) and atomic force microscope (AFM). Additionally, cross-sectional of field emission scanning electron microscope (FESEM) was used for the measurement of GaN/AlN thickness. The XRD results show that the deposited GaN is amorphous while the surface roughness and grain size are in the of $sim 2$ nm and 60 nm, respectively. The surface topography observed using AFM shows that the GaN/AlN has homogenous structure while FESEM images show that the GaN/AlN film has pebble like structure.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134105074","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251030
Zazilah May, Noor A’in A.Rahman, A. Mahmood
The ability of acoustic emission signal in detecting failure in steel structure make it a reliable method in modern non-destructive testing. Generally, the detection of failure relies on the features of signals originated from the source of acoustic emission signal. The aim of this study is to distinguish the acoustic emission signal, based on selected features from two different frictional sources namely metal rubbing and plastic rubbing events on a plate of mild steel panel. During data acquisition, the acoustic emission signals were recorded using a piezoelectric based sensor placed at three specific locations on the mild steel panel. The recorded signals are found to be highly dependent upon the acoustic properties of the source of events. Compared to plastic rubbing, metal rubbing event is found to produce higher absolute energy (<16,333,461aJ) and amplitude (up to 95dB) for all three sensors. Furthermore, the cumulative absolute energy value registered different patterns for both events. The features produced by AE waveforms from each frictional source can be used to characterize and classify the signals. The established correlation between acoustic emission features suggests that this technique can be a valuable tool in predicting various features of signals produced by such metal materials.
{"title":"Effect of frictional source signal on acoustic emission features produced on mild steel panel","authors":"Zazilah May, Noor A’in A.Rahman, A. Mahmood","doi":"10.1109/SCOReD50371.2020.9251030","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251030","url":null,"abstract":"The ability of acoustic emission signal in detecting failure in steel structure make it a reliable method in modern non-destructive testing. Generally, the detection of failure relies on the features of signals originated from the source of acoustic emission signal. The aim of this study is to distinguish the acoustic emission signal, based on selected features from two different frictional sources namely metal rubbing and plastic rubbing events on a plate of mild steel panel. During data acquisition, the acoustic emission signals were recorded using a piezoelectric based sensor placed at three specific locations on the mild steel panel. The recorded signals are found to be highly dependent upon the acoustic properties of the source of events. Compared to plastic rubbing, metal rubbing event is found to produce higher absolute energy (<16,333,461aJ) and amplitude (up to 95dB) for all three sensors. Furthermore, the cumulative absolute energy value registered different patterns for both events. The features produced by AE waveforms from each frictional source can be used to characterize and classify the signals. The established correlation between acoustic emission features suggests that this technique can be a valuable tool in predicting various features of signals produced by such metal materials.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131650105","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251035
Saravanaraj Sathasivam, A. Mahamad, S. Saon, A. Sidek, M. Som, H. A. Ameen
Transportation is widely used to allow user travel conveniently from place to place, for a personal of official purpose. Travel during peak hour or holiday, expose the driver to traffic jam for several hour, thus cause the drive to feel drowsy easily due to high concentration and lack of rest. This situation contributes the increasing of the percentage of car incident due to car driver fatigue is the primary origin of the car accident. In this paper, image detection drowsiness system is proposed to detect the state of the car driver using Eye Aspect Ratio (EAR) technique. A developed system that occupied with the Pi camera, Raspberry Pi 4 and GPS module are used to detect and analyse continuously the state of eye closure in real time. This system able to recognize whether the driver is drowsy or not, with the initial, wearing spectacles, dim light and microsleep condition experimental conducted successfully give 90% of accuracy. This situation can increase the vigilant of drivers significantly.
交通工具被广泛用于方便用户旅行从一个地方到另一个地方，为个人或公务目的。在高峰时间或节假日出行，使驾驶员暴露在交通堵塞中几个小时，从而使驾驶员由于高度集中和缺乏休息而容易感到昏昏欲睡。这种情况促成了汽车事故的百分比的增加，因为汽车驾驶员疲劳是交通事故的主要原因。本文提出了一种利用眼宽高比(EAR)技术检测汽车驾驶员状态的图像检测系统。利用Pi相机、Raspberry Pi 4和GPS模块开发的系统，实时连续检测和分析闭眼状态。该系统能够识别驾驶员是否昏昏欲睡，在初始、戴眼镜、昏暗灯光和微睡眠条件下进行的实验成功地给出了90%的准确率。这种情况可以大大提高司机的警惕性。
{"title":"Drowsiness Detection System using Eye Aspect Ratio Technique","authors":"Saravanaraj Sathasivam, A. Mahamad, S. Saon, A. Sidek, M. Som, H. A. Ameen","doi":"10.1109/SCOReD50371.2020.9251035","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251035","url":null,"abstract":"Transportation is widely used to allow user travel conveniently from place to place, for a personal of official purpose. Travel during peak hour or holiday, expose the driver to traffic jam for several hour, thus cause the drive to feel drowsy easily due to high concentration and lack of rest. This situation contributes the increasing of the percentage of car incident due to car driver fatigue is the primary origin of the car accident. In this paper, image detection drowsiness system is proposed to detect the state of the car driver using Eye Aspect Ratio (EAR) technique. A developed system that occupied with the Pi camera, Raspberry Pi 4 and GPS module are used to detect and analyse continuously the state of eye closure in real time. This system able to recognize whether the driver is drowsy or not, with the initial, wearing spectacles, dim light and microsleep condition experimental conducted successfully give 90% of accuracy. This situation can increase the vigilant of drivers significantly.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128515416","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251010
Z. Tukiran, Afandi Ahmad, N. H. Ja'afar, Azlan Muharam, Muhammad Muzakkir Mohd Nadzri
This paper describes the proposed implementation of accelerometer measurement on the FPGA platform. The FPGA platform is used to utilise the parallelism features offer by the FPGA instead of other processing devices. The acceleration measurement is designed using G-code in LabVIEW FPGA and then implemented on the NI sbRIO-9632 FPGA board using VHDL. The implementation results are evaluated in terms of FPGA speed and usage of FPGA resources. It shows that the acceleration measurement on the FPGA board utilises approximately 15% of FPGA resources with approximately 44MHz FPGA speed. The execution time of the acceleration measurement module shows the FPGA-based implementation outperforms the microcontroller-based implementation. The correctness of the computed output by the FPGA board is also verified. These findings provide insight into the implementation of real-time monitoring applications, particularly for the human motion measurement system on the FPGA platform.
{"title":"Implementation of Acceleration Measurement on FPGA platform for Real-time Monitoring Application","authors":"Z. Tukiran, Afandi Ahmad, N. H. Ja'afar, Azlan Muharam, Muhammad Muzakkir Mohd Nadzri","doi":"10.1109/SCOReD50371.2020.9251010","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251010","url":null,"abstract":"This paper describes the proposed implementation of accelerometer measurement on the FPGA platform. The FPGA platform is used to utilise the parallelism features offer by the FPGA instead of other processing devices. The acceleration measurement is designed using G-code in LabVIEW FPGA and then implemented on the NI sbRIO-9632 FPGA board using VHDL. The implementation results are evaluated in terms of FPGA speed and usage of FPGA resources. It shows that the acceleration measurement on the FPGA board utilises approximately 15% of FPGA resources with approximately 44MHz FPGA speed. The execution time of the acceleration measurement module shows the FPGA-based implementation outperforms the microcontroller-based implementation. The correctness of the computed output by the FPGA board is also verified. These findings provide insight into the implementation of real-time monitoring applications, particularly for the human motion measurement system on the FPGA platform.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125849296","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250936
M. R. B. Khan, J. Pasupuleti, R. Jidin
This paper proposes the design of a hybrid renewable energy generation system (HRES) for a large mosque. The selected location is the Putra Mosque, Putrajaya, Malaysia, as it represents a typical large mosque in the country. The location has promising results for the installation of a floating PV system based on the available area on the 12 km lake. Hence, the primary goal of this study is to conduct technical and economic analysis for an installation of a grid-connected floating Photovoltaic (PV) system to mitigate dependency in grid power and minimize CO2 emission. The overall RE system components modeled for the location comprises PV, converter, battery storage, and grid. Whereas, the data collected includes load profile and renewable resources such as solar radiation and temperature. Hybrid Optimization Model for Electrical Renewable (HOMER) software was used to model and simulate the optimal configuration of the hybrid system. The results show a 5-kW grid-connected floating PV system is the best configuration with an initial capital of $ 27,894 and NPC of $ 482,723. This configuration has a 3% RE fraction. This system has lower initial capital and NPC compared to other configurations and has a higher RE energy mix leading to lower CO2 emission
{"title":"Technical and Economic Analysis of Floating PV System for Putra Mosque in Malaysia","authors":"M. R. B. Khan, J. Pasupuleti, R. Jidin","doi":"10.1109/SCOReD50371.2020.9250936","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250936","url":null,"abstract":"This paper proposes the design of a hybrid renewable energy generation system (HRES) for a large mosque. The selected location is the Putra Mosque, Putrajaya, Malaysia, as it represents a typical large mosque in the country. The location has promising results for the installation of a floating PV system based on the available area on the 12 km lake. Hence, the primary goal of this study is to conduct technical and economic analysis for an installation of a grid-connected floating Photovoltaic (PV) system to mitigate dependency in grid power and minimize CO2 emission. The overall RE system components modeled for the location comprises PV, converter, battery storage, and grid. Whereas, the data collected includes load profile and renewable resources such as solar radiation and temperature. Hybrid Optimization Model for Electrical Renewable (HOMER) software was used to model and simulate the optimal configuration of the hybrid system. The results show a 5-kW grid-connected floating PV system is the best configuration with an initial capital of $ 27,894 and NPC of $ 482,723. This configuration has a 3% RE fraction. This system has lower initial capital and NPC compared to other configurations and has a higher RE energy mix leading to lower CO2 emission","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116978779","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：