Pub Date : 2021-07-13DOI: 10.1109/ICIAS49414.2021.9642534
Nurul Athirah Abu Hussein, H. F. Hawari, Y. H. Wong
Ternary hybrid materials have gained significant attention in recent years due to their unique synergistic effect shown to enhance the performance of devices in a variety of applications. In this present work, a novel ternary hybrid nanocomposite of ɣ-Fe2 O3 PANI-RGO was synthesized and hybrid together through ex-situ method to hybrid them into nanocomposite materials. The as-synthesized hybrid nanocomposite was subjected to physico-chemical characterization by x-ray diffraction and FTIR spectroscopy study. The experimental results observed that the hybrid materials have the individual material’s peak suggesting that they are blending well, and it was confirmed with FTIR analysis where the functional group and vibrational mode was studied. The crystallite size calculated from Debye-scherrer equation shows that the materials are in nano size. The RGO material shows a good responsive towards 100ppm acetone where the response and recovery time was 7.01 and 7.71s respectively
{"title":"Synthesis of Iron Oxide/Polyaniline/Reduced Graphene Oxide Nanocomposite Materials as Active Sensing Material","authors":"Nurul Athirah Abu Hussein, H. F. Hawari, Y. H. Wong","doi":"10.1109/ICIAS49414.2021.9642534","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642534","url":null,"abstract":"Ternary hybrid materials have gained significant attention in recent years due to their unique synergistic effect shown to enhance the performance of devices in a variety of applications. In this present work, a novel ternary hybrid nanocomposite of ɣ-Fe2 O3 PANI-RGO was synthesized and hybrid together through ex-situ method to hybrid them into nanocomposite materials. The as-synthesized hybrid nanocomposite was subjected to physico-chemical characterization by x-ray diffraction and FTIR spectroscopy study. The experimental results observed that the hybrid materials have the individual material’s peak suggesting that they are blending well, and it was confirmed with FTIR analysis where the functional group and vibrational mode was studied. The crystallite size calculated from Debye-scherrer equation shows that the materials are in nano size. The RGO material shows a good responsive towards 100ppm acetone where the response and recovery time was 7.01 and 7.71s respectively","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"110 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":"123332956","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/ICIAS49414.2021.9642541
Furqan Zahoor, F. Hussin, F. A. Khanday, Mohamad Radzi Ahmad, I. Nawi, Shagun Gupta
The existing binary logic (two-level) and MOSFET (metal oxide semiconductor field effect transistor) have limitations in terms of storage density, chip area and interconnect limitations. To overcome these limitations, the concept of multiple valued logic (MVL) circuits is introduced. The ternary logic is one of the most effective implementation for design of multivalued logic circuits due to its reduced interconnect complexity and chip area. The design methodology for the implementation of 2-bit ternary comparator utilizing carbon nanotube field effect transistor (CNTFET) and resistive random access memory (RRAM)is presented in this manuscript. CNTFETs are preferred for design of ternary logic circuits due to its desirable property of adjusting the desired threshold voltage which is dependent on the the carbon nanotube (CNT) diameter. Additionally, another technology suitable for ternary design implementation is RRAM due to its ability to store multiple resistance states within a single cell. The ternary comparator has been designed using CNTFETRRAM ternary logic gates and utilizing negation of literals technique. The comparator design utilizes both binary and ternary gates for effective implementation. This paper presents the simulation results of the ternary comparator using HSPICE software.
{"title":"Carbon Nanotube Field Effect Transistor and Resistive Random Access Memory based 2-bit Ternary Comparator","authors":"Furqan Zahoor, F. Hussin, F. A. Khanday, Mohamad Radzi Ahmad, I. Nawi, Shagun Gupta","doi":"10.1109/ICIAS49414.2021.9642541","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642541","url":null,"abstract":"The existing binary logic (two-level) and MOSFET (metal oxide semiconductor field effect transistor) have limitations in terms of storage density, chip area and interconnect limitations. To overcome these limitations, the concept of multiple valued logic (MVL) circuits is introduced. The ternary logic is one of the most effective implementation for design of multivalued logic circuits due to its reduced interconnect complexity and chip area. The design methodology for the implementation of 2-bit ternary comparator utilizing carbon nanotube field effect transistor (CNTFET) and resistive random access memory (RRAM)is presented in this manuscript. CNTFETs are preferred for design of ternary logic circuits due to its desirable property of adjusting the desired threshold voltage which is dependent on the the carbon nanotube (CNT) diameter. Additionally, another technology suitable for ternary design implementation is RRAM due to its ability to store multiple resistance states within a single cell. The ternary comparator has been designed using CNTFETRRAM ternary logic gates and utilizing negation of literals technique. The comparator design utilizes both binary and ternary gates for effective implementation. This paper presents the simulation results of the ternary comparator using HSPICE software.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"18 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":"121970172","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/ICIAS49414.2021.9642630
M. A. M. Radzi, M. Ahmad, N. H. Ali, A. M. Ariffin
Partial Discharge (PD) is a natural phenomenon that occurs inevitably in high voltage equipment mainly due to the degradation of insulation materials. PD emits high frequency signals above 40 kHz which can be easily detected by Acoustic Emission (AE) method. This paper presents the processes of designing a PD detection device using ultrasonic sensor. The finished design is known as Partial Discharge Detection (PDD) device and its function is to detect PD on a medium voltage cross-linked polyethylene (XLPE) cable. Outcomes of the design processes show the complete design of the PDD device, the fabricated PDD device, and the functionality of the PDD device. The end results show that the PDD device is capable to detect PD much like a HFCT sensor does. The prototype device will be very beneficial in the upcoming future as the physical dimension of the device itself is relatively small, portable and cost efficient to manufacture when compared to the commercial PD sensing devices. Further advancement of the PD device, such as to incorporate Artificial Intelligence (AI), can be an added feature to the device moving forward. In addition, the prototype can also be converted into Flexible Printed Circuit Board (FPCB) form factor for ease of implementation and robustness. Such finding will be of utmost help to the power industries in monitoring PD activities on high voltage equipments using an affordable and efficient device in an effort to reduce the repair and maintenance costs.
{"title":"Development of Partial Discharge Detection Device for PD Detection on Medium Voltage XLPE Cable","authors":"M. A. M. Radzi, M. Ahmad, N. H. Ali, A. M. Ariffin","doi":"10.1109/ICIAS49414.2021.9642630","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642630","url":null,"abstract":"Partial Discharge (PD) is a natural phenomenon that occurs inevitably in high voltage equipment mainly due to the degradation of insulation materials. PD emits high frequency signals above 40 kHz which can be easily detected by Acoustic Emission (AE) method. This paper presents the processes of designing a PD detection device using ultrasonic sensor. The finished design is known as Partial Discharge Detection (PDD) device and its function is to detect PD on a medium voltage cross-linked polyethylene (XLPE) cable. Outcomes of the design processes show the complete design of the PDD device, the fabricated PDD device, and the functionality of the PDD device. The end results show that the PDD device is capable to detect PD much like a HFCT sensor does. The prototype device will be very beneficial in the upcoming future as the physical dimension of the device itself is relatively small, portable and cost efficient to manufacture when compared to the commercial PD sensing devices. Further advancement of the PD device, such as to incorporate Artificial Intelligence (AI), can be an added feature to the device moving forward. In addition, the prototype can also be converted into Flexible Printed Circuit Board (FPCB) form factor for ease of implementation and robustness. Such finding will be of utmost help to the power industries in monitoring PD activities on high voltage equipments using an affordable and efficient device in an effort to reduce the repair and maintenance costs.","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":"130708734","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/ICIAS49414.2021.9642698
Muhammad Junaid, M. Khir, G. Witjaksono, M. S. M. Saheed, Z. Ullah, M. A. Siddiqui
The reduced graphene oxide is expected to be material for enhanced plasmons emitter due to its unique optoelectronic properties. In this paper, we have performed FDTD analysis of reduced graphene oxide layer and on the hybrid gold structure and $mathrm{SiO}_{2} / mathrm{Si}$ substrate. Where remarkably enhanced and tunable plasmons emission from reduced graphene oxide was observed. In the prospective enhancement field emission from the simulation, the structure is conformed from FDTD analysis in term of absorption, reflectance, emission spectra. The tunable ability of emission radiation was also investigated with an induced energy bandgap in reduced graphene oxide. Moreover, the simulation results show that the reduced graphene oxide is suitable for optoelectronic device applications i.e., such as Fermi level modulations through low voltage implication. The structural design approach defined here will be very suitable for the forthcoming design of highly efficient optical and optoelectronic devices. In addition, the proposed design offers an alternative route for the application of reduced graphene oxide for optical and optoelectronic devices.
{"title":"Enhanced and Tunable Surface Plasmons Assisted Emission from Reduced Graphene Oxide and Gold Hybrid Configuration","authors":"Muhammad Junaid, M. Khir, G. Witjaksono, M. S. M. Saheed, Z. Ullah, M. A. Siddiqui","doi":"10.1109/ICIAS49414.2021.9642698","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642698","url":null,"abstract":"The reduced graphene oxide is expected to be material for enhanced plasmons emitter due to its unique optoelectronic properties. In this paper, we have performed FDTD analysis of reduced graphene oxide layer and on the hybrid gold structure and $mathrm{SiO}_{2} / mathrm{Si}$ substrate. Where remarkably enhanced and tunable plasmons emission from reduced graphene oxide was observed. In the prospective enhancement field emission from the simulation, the structure is conformed from FDTD analysis in term of absorption, reflectance, emission spectra. The tunable ability of emission radiation was also investigated with an induced energy bandgap in reduced graphene oxide. Moreover, the simulation results show that the reduced graphene oxide is suitable for optoelectronic device applications i.e., such as Fermi level modulations through low voltage implication. The structural design approach defined here will be very suitable for the forthcoming design of highly efficient optical and optoelectronic devices. In addition, the proposed design offers an alternative route for the application of reduced graphene oxide for optical and optoelectronic devices.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"25 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":"133547274","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/ICIAS49414.2021.9642596
Niharika Singh, I. Elamvazuthi, P. Nallagownden, N. Badruddin, Firas Ousta, A. Jangra
A Smart Microgrid consists of physical and communication layered networks. It provides communication services to each connected component and resource through multi-agent system. This paper proposes a reinforcement learning based methodology, Q-reinforcement Learning based Multi-agent based Bellmanford Routing (QRL-MABR), using multiple agents communicating over the microgrid network. It strengthens the decision-making core of the microgrid by improving Quality of service and network reliability of the smart microgrid. The performance analysis of the algorithm is tested over small-scale IEEE microgrid models i.e. IEEE 9 and IEEE 14. The work is tested and compared with four routing oriented decision-making algorithms, Open shortest path first (OSPF), Optimized link state routing (OLSR), Routing information protocol (RIP) and Multi-agent based Bellmanford routing (MABR). The results validate the productivity and learning capabilities of the proposed QRL-MABR algorithm.
{"title":"Smart Microgrid QoS and Network Reliability Performance Improvement using Reinforcement Learning","authors":"Niharika Singh, I. Elamvazuthi, P. Nallagownden, N. Badruddin, Firas Ousta, A. Jangra","doi":"10.1109/ICIAS49414.2021.9642596","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642596","url":null,"abstract":"A Smart Microgrid consists of physical and communication layered networks. It provides communication services to each connected component and resource through multi-agent system. This paper proposes a reinforcement learning based methodology, Q-reinforcement Learning based Multi-agent based Bellmanford Routing (QRL-MABR), using multiple agents communicating over the microgrid network. It strengthens the decision-making core of the microgrid by improving Quality of service and network reliability of the smart microgrid. The performance analysis of the algorithm is tested over small-scale IEEE microgrid models i.e. IEEE 9 and IEEE 14. The work is tested and compared with four routing oriented decision-making algorithms, Open shortest path first (OSPF), Optimized link state routing (OLSR), Routing information protocol (RIP) and Multi-agent based Bellmanford routing (MABR). The results validate the productivity and learning capabilities of the proposed QRL-MABR algorithm.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"72 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":"133187380","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/ICIAS49414.2021.9642627
Aliyu Nuhu Shuaibu, D. Dajab, F. Usman
High rate of occurrences of cardiovascular diseases has led to development of devices and systems that can measure and detect early warning symptoms of abnormalities. Recent studies show that cardiovascular diseases are the topmost leading cause of death, thus we need to detect symptoms of these diseases before they deteriorate. There is a need to develop systems that will monitor cardiovascular properties such as pulse rate and blood oxygen concentration. This will be very useful to people at high risks of cardiovascular ilness. In this paper, sparse representation technique has been used to monitor the heart rate using IP camera. The PPG signal is used to estimate the physical parameters using non-invasive camera. The result is compared with existing dictionaries such as discrete wavelet transform and discrete cosine transform for sparse signal reconstruction. The results show that the proposed method produced better performance Signal-to-Noise Ratio (SNR) as compared to the start-of-the-art methods.
{"title":"Heart Rate Measurement Using Non-invasive Sparse Signal Approach","authors":"Aliyu Nuhu Shuaibu, D. Dajab, F. Usman","doi":"10.1109/ICIAS49414.2021.9642627","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642627","url":null,"abstract":"High rate of occurrences of cardiovascular diseases has led to development of devices and systems that can measure and detect early warning symptoms of abnormalities. Recent studies show that cardiovascular diseases are the topmost leading cause of death, thus we need to detect symptoms of these diseases before they deteriorate. There is a need to develop systems that will monitor cardiovascular properties such as pulse rate and blood oxygen concentration. This will be very useful to people at high risks of cardiovascular ilness. In this paper, sparse representation technique has been used to monitor the heart rate using IP camera. The PPG signal is used to estimate the physical parameters using non-invasive camera. The result is compared with existing dictionaries such as discrete wavelet transform and discrete cosine transform for sparse signal reconstruction. The results show that the proposed method produced better performance Signal-to-Noise Ratio (SNR) as compared to the start-of-the-art methods.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"157 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":"133042487","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/ICIAS49414.2021.9642518
Chee Ying-Chan, P. Nallagownden, N. M. Nor
Power transformers are critical components in a power system network, and they are subjected to multifactorial stresses. Regular performance assessments are conducted, and the Health Index (HI) technique is sometimes adopted. HI integrates field test results into a single index representing the overall health. Existing Transformer HI (THI) models do not consider electrical and environmental factors unique to oil and gas facilities. Exclusion of operating history and failure data analysis affects the accuracy of the models. A pilot study was conducted using 4 existing THI models to investigate the accuracy of the THI scores in depicting the actual condition of a failed transformer installed in a gas processing plant. 2 models with 24 and 15 input parameters successfully indicated a significant deterioration within the transformer. Nevertheless, a final “Fair” score would not trigger urgent intervention. With evidences that similar failure has occurred repeatedly across the facilities, the relevant field tests could have been included as dedicated input parameters to produce a more precise THI score. Another 2 models with less than 4 input parameters, placed the failing transformer in “Very Good” band, which was totally erroneous. To design an accurate THI model, it is essential to consider specific load characteristics and environment factors by applying actual failure probability as basis.
{"title":"Utility Based Performance Assessment of Oil-Filled Transformers Considering Specific Load Characteristics and Environmental Factors","authors":"Chee Ying-Chan, P. Nallagownden, N. M. Nor","doi":"10.1109/ICIAS49414.2021.9642518","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642518","url":null,"abstract":"Power transformers are critical components in a power system network, and they are subjected to multifactorial stresses. Regular performance assessments are conducted, and the Health Index (HI) technique is sometimes adopted. HI integrates field test results into a single index representing the overall health. Existing Transformer HI (THI) models do not consider electrical and environmental factors unique to oil and gas facilities. Exclusion of operating history and failure data analysis affects the accuracy of the models. A pilot study was conducted using 4 existing THI models to investigate the accuracy of the THI scores in depicting the actual condition of a failed transformer installed in a gas processing plant. 2 models with 24 and 15 input parameters successfully indicated a significant deterioration within the transformer. Nevertheless, a final “Fair” score would not trigger urgent intervention. With evidences that similar failure has occurred repeatedly across the facilities, the relevant field tests could have been included as dedicated input parameters to produce a more precise THI score. Another 2 models with less than 4 input parameters, placed the failing transformer in “Very Good” band, which was totally erroneous. To design an accurate THI model, it is essential to consider specific load characteristics and environment factors by applying actual failure probability as basis.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"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":"128646656","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/ICIAS49414.2021.9642643
Chong Lay Ng, S. Soeung, G. S. Ng, S. Cheab
This paper introduces an approach to design a dual-mode dual-band waveguide filter that operates within sub-6 GHz frequency. This approach can further reduce the size of the dual-band filter while maintaining the low power loss. The design technique combines chained-response multiband function, chained-function, and dual-mode waveguide filter. For demonstration, a dual-mode dual-band filter which operates in 3.5 GHz is designed and simulated. The filter has a bandwidth of 80 MHz for both passbands and two center frequencies of lower and upper passbands which are located at 3.36 GHz and 3.61 GHz respectively. The theoretical and simulation results are compared and discussed at the end of the paper.
{"title":"Design of Chained-Function Dual-band Waveguide Filter Based on Dual-mode Resonators","authors":"Chong Lay Ng, S. Soeung, G. S. Ng, S. Cheab","doi":"10.1109/ICIAS49414.2021.9642643","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642643","url":null,"abstract":"This paper introduces an approach to design a dual-mode dual-band waveguide filter that operates within sub-6 GHz frequency. This approach can further reduce the size of the dual-band filter while maintaining the low power loss. The design technique combines chained-response multiband function, chained-function, and dual-mode waveguide filter. For demonstration, a dual-mode dual-band filter which operates in 3.5 GHz is designed and simulated. The filter has a bandwidth of 80 MHz for both passbands and two center frequencies of lower and upper passbands which are located at 3.36 GHz and 3.61 GHz respectively. The theoretical and simulation results are compared and discussed at the end of the paper.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"30 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":"128429840","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/ICIAS49414.2021.9642407
Maveeya Baba, N. M. Nor, M.A. Sheikh, A. M. Baba, M. Rehman, Syed Hamid Ali Shah
This paper presents a hybrid approach envision to determine the optimal PMU placement problem (OPPP) in any sort of IEEE network to make it observable. While using the old version of Graph-Theoretic Procedure (GTH) for optimization purposes, it takes additional time to complete the process and uses an extra number of PMUs for the placement model. Therefore, the importance of the presented work is to improve the performance of GTH using a merging process, and a certain number of important parameters from the Recursive algorithm (RA) are combined successfully. The proposed work is tested on different IEEE-case systems such as IEEE-9, -14, -24, -30, and New England 39-case system. Moreover, the results of the proposed hybrid approach are compared with the existing techniques to get the effectiveness of the proposed work about minimizing the number of PMUs.
{"title":"A Hybrid Algorithm For Optimal PMU Placement","authors":"Maveeya Baba, N. M. Nor, M.A. Sheikh, A. M. Baba, M. Rehman, Syed Hamid Ali Shah","doi":"10.1109/ICIAS49414.2021.9642407","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642407","url":null,"abstract":"This paper presents a hybrid approach envision to determine the optimal PMU placement problem (OPPP) in any sort of IEEE network to make it observable. While using the old version of Graph-Theoretic Procedure (GTH) for optimization purposes, it takes additional time to complete the process and uses an extra number of PMUs for the placement model. Therefore, the importance of the presented work is to improve the performance of GTH using a merging process, and a certain number of important parameters from the Recursive algorithm (RA) are combined successfully. The proposed work is tested on different IEEE-case systems such as IEEE-9, -14, -24, -30, and New England 39-case system. Moreover, the results of the proposed hybrid approach are compared with the existing techniques to get the effectiveness of the proposed work about minimizing the number of PMUs.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"7 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":"126985032","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/ICIAS49414.2021.9642651
M. Abdulaal
In recent months, crowd management has become more important than ever, given the spread of contagious diseases such as COVID-19. The Hajj, in Saudi Arabia, is one of the largest gatherings in the world; it happens annually and is getting bigger every year. The development of radio-frequency identification (RFID) and mobile apps has been investigated to help estimate crowd movements in and among the holy sites. However, network-based technologies require large infrastructures and are therefore very costly. In this paper, a system is proposed to use existing closed-circuit television (CCTV) to accurately visualize the movements of crowds in the Almasjid Alnabawi, also known as The Prophet's Mosque. The proposed neural network is trained with large datasets of crowd images to produce estimates of the number of pilgrims in an image. Images are then integrated to produce crowd level models throughout the building. The system has been tested on two instances and showed high performance.
{"title":"Crowd Analysis of Almasjid Alnabawi using convolutional neural networks of CCTV footage","authors":"M. Abdulaal","doi":"10.1109/ICIAS49414.2021.9642651","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642651","url":null,"abstract":"In recent months, crowd management has become more important than ever, given the spread of contagious diseases such as COVID-19. The Hajj, in Saudi Arabia, is one of the largest gatherings in the world; it happens annually and is getting bigger every year. The development of radio-frequency identification (RFID) and mobile apps has been investigated to help estimate crowd movements in and among the holy sites. However, network-based technologies require large infrastructures and are therefore very costly. In this paper, a system is proposed to use existing closed-circuit television (CCTV) to accurately visualize the movements of crowds in the Almasjid Alnabawi, also known as The Prophet's Mosque. The proposed neural network is trained with large datasets of crowd images to produce estimates of the number of pilgrims in an image. Images are then integrated to produce crowd level models throughout the building. The system has been tested on two instances and showed high performance.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"37 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":"117296849","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：