Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157901
Bhavesh Sonkriwal, Patil Rahul D, H. Tiwari
Permanent magnetic synchronous motor (PMSM) drive is one of the very famous AC motor drives in the industry. This motor is being used in various platform because of its most advantageous compared to other AC drives like small in size, light weight, wide speed range, high power factor, high efficiency and large overload capacity. An approach for PMSM drive to control the drive using space vector pulse width modulation (SVPWM) technique is used based on the field orientation control (vector control). As the PMSM-drive is having characteristic of non-linearity, strong coupling and time-varying parameters which is not self-tuning for PI controller with the variable system states as PI controller comes with a large overshot, steady state error, torque ripples and slow response with variable states which has been overcome in this paper using FUZZY-PI controller. This paper proposes the Fuzzy PI controller with changing PI online accordingly with the system states, this is then compared with the standard PI controller. The simulation result has been showed for the speed and torque dynamics of the PMSM drive for comparison.
{"title":"Analysis of FUZZY-PI and PI Control Strategies for Permanent Magnetic Synchronous Motor Drive","authors":"Bhavesh Sonkriwal, Patil Rahul D, H. Tiwari","doi":"10.1109/ICEEICT56924.2023.10157901","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157901","url":null,"abstract":"Permanent magnetic synchronous motor (PMSM) drive is one of the very famous AC motor drives in the industry. This motor is being used in various platform because of its most advantageous compared to other AC drives like small in size, light weight, wide speed range, high power factor, high efficiency and large overload capacity. An approach for PMSM drive to control the drive using space vector pulse width modulation (SVPWM) technique is used based on the field orientation control (vector control). As the PMSM-drive is having characteristic of non-linearity, strong coupling and time-varying parameters which is not self-tuning for PI controller with the variable system states as PI controller comes with a large overshot, steady state error, torque ripples and slow response with variable states which has been overcome in this paper using FUZZY-PI controller. This paper proposes the Fuzzy PI controller with changing PI online accordingly with the system states, this is then compared with the standard PI controller. The simulation result has been showed for the speed and torque dynamics of the PMSM drive for comparison.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130835150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10156910
Pawan Meena, M. Pawar, Anjana Pandey
An improved technique for ranking node importance based on the division of complex network communities (NI-DCN) is proposed because Page Rank results are too concentrated and do not consider the structural properties of complex network communities. According to the results of the Label Propagation Algorithm's (LPA) community division of the complex network, the internal and external connections of the community are transformed into the probability representation of community selection; based on the community selection probability, a certain proportion of candidate key nodes are extracted from each community; these candidates are then evaluated. To obtain the key node sorting results, the nodes are reordered. The SIR propagation performance investigation uses experimental data from four existing complex networks to compare with the existing algorithm. The experimental results indicate that the nodes chosen by the NI-DCN algorithm have a more significant impact on the overall efficacy of the network's propagation. Moreover, the NI-DCN algorithm can effectively rank the significance of the complex network's nodes.
{"title":"Significance of End User Ranking Mechanism for Community Detection","authors":"Pawan Meena, M. Pawar, Anjana Pandey","doi":"10.1109/ICEEICT56924.2023.10156910","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156910","url":null,"abstract":"An improved technique for ranking node importance based on the division of complex network communities (NI-DCN) is proposed because Page Rank results are too concentrated and do not consider the structural properties of complex network communities. According to the results of the Label Propagation Algorithm's (LPA) community division of the complex network, the internal and external connections of the community are transformed into the probability representation of community selection; based on the community selection probability, a certain proportion of candidate key nodes are extracted from each community; these candidates are then evaluated. To obtain the key node sorting results, the nodes are reordered. The SIR propagation performance investigation uses experimental data from four existing complex networks to compare with the existing algorithm. The experimental results indicate that the nodes chosen by the NI-DCN algorithm have a more significant impact on the overall efficacy of the network's propagation. Moreover, the NI-DCN algorithm can effectively rank the significance of the complex network's nodes.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133975918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157923
Hassan Salman Hamad, A. H. Herez, Adnan Hussein Ali, A. Al-Hilali, Mohammed G. S. AL-Safi, M. Mnati
Currently, renewable energy sources are a well-liked alternative to traditional electrical energy sources that governments are even planning to increase the quantity of electricity generated from renewable energy sources. The rapid growth of investments in renewable energy has drawn the attention of experts who are working to improve its effectiveness. This really is due to a surge in electrical energy consumption brought on by the quick development of technology, population expansion, and high fuel prices utilized in traditional electrical energy generation. Solar energy has gotten a lot of attention from researchers and scientists because it is the most important source of sustainable energy for electric power generation. However, it has a problem that is exacerbated by two factors: changes in solar irradiation intensity besides temperature, which causes their electrical features_to become non-linear, lowering its efficiency. With respect to efficiency issue solving, the researchers devised a number of methods for tracking the MPP point and harvesting the maximum energy from solar panels under a variety of measuring scenarios. In solar energy systems, MPPT technology is the most extensively employed. In this paper, MPPT technology based on the FLC algorithm developed utilizing MATLAB/Simulink is simulated aimed at a purpose of power maximization plus controlling the DC-DC buck converter duty cycle. Through the simulation results, an efficiency of 97.35% is achieved under standard test conditions and 96.41% under volatile weather conditions which gives the superiority of FLC in performance and efficiency of the FLC algorithm.
{"title":"Comparative Simulation Analysis of MPPT Techniques of PV System Based on Variuos Algorithms","authors":"Hassan Salman Hamad, A. H. Herez, Adnan Hussein Ali, A. Al-Hilali, Mohammed G. S. AL-Safi, M. Mnati","doi":"10.1109/ICEEICT56924.2023.10157923","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157923","url":null,"abstract":"Currently, renewable energy sources are a well-liked alternative to traditional electrical energy sources that governments are even planning to increase the quantity of electricity generated from renewable energy sources. The rapid growth of investments in renewable energy has drawn the attention of experts who are working to improve its effectiveness. This really is due to a surge in electrical energy consumption brought on by the quick development of technology, population expansion, and high fuel prices utilized in traditional electrical energy generation. Solar energy has gotten a lot of attention from researchers and scientists because it is the most important source of sustainable energy for electric power generation. However, it has a problem that is exacerbated by two factors: changes in solar irradiation intensity besides temperature, which causes their electrical features_to become non-linear, lowering its efficiency. With respect to efficiency issue solving, the researchers devised a number of methods for tracking the MPP point and harvesting the maximum energy from solar panels under a variety of measuring scenarios. In solar energy systems, MPPT technology is the most extensively employed. In this paper, MPPT technology based on the FLC algorithm developed utilizing MATLAB/Simulink is simulated aimed at a purpose of power maximization plus controlling the DC-DC buck converter duty cycle. Through the simulation results, an efficiency of 97.35% is achieved under standard test conditions and 96.41% under volatile weather conditions which gives the superiority of FLC in performance and efficiency of the FLC algorithm.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134088166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157764
Vineeth C Johnson, Jyoti S. Bali, Shilpa Tanvashi, C. B. Kolanur
A study on the FPGA development board PYNQ-Z2 for hardware acceleration is presented in this research paper. The experiment accelerates the tasks of optical character recognition (OCR) and image recognition using the FPGA on PYNQ-Z2. The output results on hardware acceleration (Processing system (PS) and Programmable Logic (PL)) are compared with the output results obtained while executing the same tasks on the Arm processor (Processing System (PS)) alone. In this experiment, a Long short-term memory (LSTM) neural network is used to implement OCR, and a Binarized neural network (BNN) is used to implement image recognition. LSTM and BNN here are quantized to reduce memory usage while implementing them on PYNQ-Z2.
{"title":"FPGA-Based Hardware Acceleration Using PYNQ-Z2","authors":"Vineeth C Johnson, Jyoti S. Bali, Shilpa Tanvashi, C. B. Kolanur","doi":"10.1109/ICEEICT56924.2023.10157764","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157764","url":null,"abstract":"A study on the FPGA development board PYNQ-Z2 for hardware acceleration is presented in this research paper. The experiment accelerates the tasks of optical character recognition (OCR) and image recognition using the FPGA on PYNQ-Z2. The output results on hardware acceleration (Processing system (PS) and Programmable Logic (PL)) are compared with the output results obtained while executing the same tasks on the Arm processor (Processing System (PS)) alone. In this experiment, a Long short-term memory (LSTM) neural network is used to implement OCR, and a Binarized neural network (BNN) is used to implement image recognition. LSTM and BNN here are quantized to reduce memory usage while implementing them on PYNQ-Z2.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130955682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157477
P. Palanisamy
Continuing exponential surge in mobile data traffic demands the need for heterogeneous networks (HetNets) in which low-power nodes small cells such as picocells and femtocells coexist with macrocells. Specifically, Femtocells are rapidly emerging as a promising indoor solution that provides excellent indoor coverage, high data rate service, and moreover, offloads the traffic of the existing macrocell networks that are moving rapidly towards congestion. Due to closed access mode operation of small cells and independent sharing of radio resources among them, the inter cell interference (ICI) management is a highly challenging one. This kind of ICI severely affects the Quality of Service achieved by the victim users and hinders the user throughput maximization. For maximizing the user throughput, ICI management can be effectively accomplished by ICI coordination (ICIC) techniques and particularly in HetNets, the self-organization of small cells using intelligent learning such as Reinforcement learning, Fuzzy Q-learning, and deep learning methods have been investigated in many recent works for ICIC. At first, this paper presents an overview of downlink interference scenarios in femtocell networks and then presents the simulation results that have been obtained using LTE-A Femto-Macro simulator, which clearly exemplify the rigorousness of interference that claims the need for ICIC schemes. Finally, it highlights the importance of intelligent learning methods to solve the said ICIC problem in the wireless networks.
{"title":"Downlink Intercell Interference Behavior in Heterogeneous Networks","authors":"P. Palanisamy","doi":"10.1109/ICEEICT56924.2023.10157477","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157477","url":null,"abstract":"Continuing exponential surge in mobile data traffic demands the need for heterogeneous networks (HetNets) in which low-power nodes small cells such as picocells and femtocells coexist with macrocells. Specifically, Femtocells are rapidly emerging as a promising indoor solution that provides excellent indoor coverage, high data rate service, and moreover, offloads the traffic of the existing macrocell networks that are moving rapidly towards congestion. Due to closed access mode operation of small cells and independent sharing of radio resources among them, the inter cell interference (ICI) management is a highly challenging one. This kind of ICI severely affects the Quality of Service achieved by the victim users and hinders the user throughput maximization. For maximizing the user throughput, ICI management can be effectively accomplished by ICI coordination (ICIC) techniques and particularly in HetNets, the self-organization of small cells using intelligent learning such as Reinforcement learning, Fuzzy Q-learning, and deep learning methods have been investigated in many recent works for ICIC. At first, this paper presents an overview of downlink interference scenarios in femtocell networks and then presents the simulation results that have been obtained using LTE-A Femto-Macro simulator, which clearly exemplify the rigorousness of interference that claims the need for ICIC schemes. Finally, it highlights the importance of intelligent learning methods to solve the said ICIC problem in the wireless networks.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133896202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157251
R. Meenakshi, K. Selvi
The Solar PV based Microgrid is increasing in the small-scale power generation, with the rapid increase in tapping the potential of renewables in power generation. The grid-connected operation of such small-scale grid requires a proper control design operation for effective power injection into the grid line at rated voltage and frequency. This work studies the design of an Integral Terminal Sliding Mode Control (ITSMC) for the controlled switching of the Voltage Source Inverter (VSI), to regulate active power flow into the infinite bus. A 2kW Solar PV system coupled to a 1ϕ 230 V, 50 Hz grid is designed in MATLAB/SIMULINK platform to evaluate the controller performance. The controller response is seen to be robust and also the efficiency of power extraction from the PV source into the grid is achieved around 97% for varying irradiances. For oscillatory response during high temperatures, the controller proves to provide rapid switching signals tracking the deviations appropriately.
{"title":"Controller design for a Single-Stage Single-Phase Grid-Connected Solar PV Microgrid","authors":"R. Meenakshi, K. Selvi","doi":"10.1109/ICEEICT56924.2023.10157251","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157251","url":null,"abstract":"The Solar PV based Microgrid is increasing in the small-scale power generation, with the rapid increase in tapping the potential of renewables in power generation. The grid-connected operation of such small-scale grid requires a proper control design operation for effective power injection into the grid line at rated voltage and frequency. This work studies the design of an Integral Terminal Sliding Mode Control (ITSMC) for the controlled switching of the Voltage Source Inverter (VSI), to regulate active power flow into the infinite bus. A 2kW Solar PV system coupled to a 1ϕ 230 V, 50 Hz grid is designed in MATLAB/SIMULINK platform to evaluate the controller performance. The controller response is seen to be robust and also the efficiency of power extraction from the PV source into the grid is achieved around 97% for varying irradiances. For oscillatory response during high temperatures, the controller proves to provide rapid switching signals tracking the deviations appropriately.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"18 1‐2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132340725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10156920
Chafle Pratiksha Vasantrao, N. Gupta, Naga Surekha Jonnala, A. Mishra
The change detection (CD), resembles as basic issues in Earth tracking attains the major research concern over the past few decades. There is a considerable enhancement in the CD resource data in view of the rapid evolution in the satellite sensors in the current years, which provides very-high-resolution multispectral image with copious change evidences. However, localizing the precise varying area is considered as the real challenge. Hence, this research attempts to develop the Dual adaptive model to precisely locate the real changed areas. The pixel evaluation is done by the fusion network that hybrid the pre-trained model like segnet, U-net, ResNet and Fc-densenet. The pre-trained model is hybridized by the fusion parameter that is productively trained by using the adaptive optimization. The experimental result exhibits that the Dual adaptive model exceeds the competent model considering accuracy, precision, recall and F1-measure.
{"title":"Dual adaptive model for change detection in multispectral images","authors":"Chafle Pratiksha Vasantrao, N. Gupta, Naga Surekha Jonnala, A. Mishra","doi":"10.1109/ICEEICT56924.2023.10156920","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156920","url":null,"abstract":"The change detection (CD), resembles as basic issues in Earth tracking attains the major research concern over the past few decades. There is a considerable enhancement in the CD resource data in view of the rapid evolution in the satellite sensors in the current years, which provides very-high-resolution multispectral image with copious change evidences. However, localizing the precise varying area is considered as the real challenge. Hence, this research attempts to develop the Dual adaptive model to precisely locate the real changed areas. The pixel evaluation is done by the fusion network that hybrid the pre-trained model like segnet, U-net, ResNet and Fc-densenet. The pre-trained model is hybridized by the fusion parameter that is productively trained by using the adaptive optimization. The experimental result exhibits that the Dual adaptive model exceeds the competent model considering accuracy, precision, recall and F1-measure.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133557554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10156974
K. Vigneshwaran, R. Samson Daniel
A slotted cavity-backed Substrate Integrated Waveguide (SIW) antenna is suggested for use in wireless applications. The SIW cavity-backed antenna that is being proposed is designed for multiband operations. The operational frequencies for UMTS, WLAN, C-band and wave applications are 2.15 GHz, 2.7 GHz, 4.2 GHz, and 6.8 GHz respectively. Two typical modes are provided by a rectangular cavity (i.e., TE110 and TE120). The SIW cavity's current distribution is altered by loading slots on top of the cavity. The traditional modes couple together without enlarging the antenna and provide a new resonance frequency (i.e. Hybrid mode). As a result, the proposed antenna can operate in several bands, and the mode theory method has been used to explore radiating modes.
{"title":"Substrate Integrated Waveguide Antenna With Slots For Multiband Operation Using ANN","authors":"K. Vigneshwaran, R. Samson Daniel","doi":"10.1109/ICEEICT56924.2023.10156974","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10156974","url":null,"abstract":"A slotted cavity-backed Substrate Integrated Waveguide (SIW) antenna is suggested for use in wireless applications. The SIW cavity-backed antenna that is being proposed is designed for multiband operations. The operational frequencies for UMTS, WLAN, C-band and wave applications are 2.15 GHz, 2.7 GHz, 4.2 GHz, and 6.8 GHz respectively. Two typical modes are provided by a rectangular cavity (i.e., TE110 and TE120). The SIW cavity's current distribution is altered by loading slots on top of the cavity. The traditional modes couple together without enlarging the antenna and provide a new resonance frequency (i.e. Hybrid mode). As a result, the proposed antenna can operate in several bands, and the mode theory method has been used to explore radiating modes.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133150934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157249
Abhishek Tyagi, Anil Kumar Ahlawat
Articulation points And Bridge illustrate weak spots in a connected network graph, single points that, if they failed, would cause the network to break into two or more halves. SPOF stands for Single Point of Failure, which has the potential to render a system completely useless. SPOF that is Single Point of Failure is essentially a weakness in the blueprint or configuration of a system or circuit, or execution of a system, circuit, or component that bearing a possible peril because it can result in a scenario where there is just one issue or malfunction stops the entire system from working. The cargo ship “Ever Given” became stranded in the Suez Canal in 2021. The ship became stuck in a crucial area of the canal that was working as a single channel. The obstruction rendered the whole canal's cargo lanes inoperable. The non-redundant canal served as the lone point of failure. Understanding of articulation points and the role of a bridge in a network or in graph becomes vital when constructing trustworthy and robust networks with no single point of failure. The purpose of this study is to present an algorithm which is an elegant blend of Depth First Search and Recursion to find Articulation points And Bridge in a graph.
{"title":"A New Approach to find Articulation Points and Bridges in Undirected Graphs","authors":"Abhishek Tyagi, Anil Kumar Ahlawat","doi":"10.1109/ICEEICT56924.2023.10157249","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157249","url":null,"abstract":"Articulation points And Bridge illustrate weak spots in a connected network graph, single points that, if they failed, would cause the network to break into two or more halves. SPOF stands for Single Point of Failure, which has the potential to render a system completely useless. SPOF that is Single Point of Failure is essentially a weakness in the blueprint or configuration of a system or circuit, or execution of a system, circuit, or component that bearing a possible peril because it can result in a scenario where there is just one issue or malfunction stops the entire system from working. The cargo ship “Ever Given” became stranded in the Suez Canal in 2021. The ship became stuck in a crucial area of the canal that was working as a single channel. The obstruction rendered the whole canal's cargo lanes inoperable. The non-redundant canal served as the lone point of failure. Understanding of articulation points and the role of a bridge in a network or in graph becomes vital when constructing trustworthy and robust networks with no single point of failure. The purpose of this study is to present an algorithm which is an elegant blend of Depth First Search and Recursion to find Articulation points And Bridge in a graph.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114811136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157650
V. Tharakeswari, M. Kameswari, T. Rishi, M. Seenivasan
In the field of medicine, fuzzy set analysis is essential. Fuzzy matrices are used in a variety of models to address various challenging elements of medical diagnosis. Fuzzy matrices were used in the diagnostic modelsusing to show the relationship between symptoms and diseases in medicine. The most significant and rapidly expanding field of uses of uncertain set theory. The type of medical records and ambiguous data acquired through the usage of a fuzzy hexagonalmatrix. In this research, fuzzy matrices are defined, and an algorithm for medical diagnostic and treatment phases is devised. A fuzzy membership matrix is used to construct patient and drug information. The suggested algorithms are used to locate patients who have a disease.
{"title":"A hexagonal fuzzy matrix application in medical diagnosis","authors":"V. Tharakeswari, M. Kameswari, T. Rishi, M. Seenivasan","doi":"10.1109/ICEEICT56924.2023.10157650","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157650","url":null,"abstract":"In the field of medicine, fuzzy set analysis is essential. Fuzzy matrices are used in a variety of models to address various challenging elements of medical diagnosis. Fuzzy matrices were used in the diagnostic modelsusing to show the relationship between symptoms and diseases in medicine. The most significant and rapidly expanding field of uses of uncertain set theory. The type of medical records and ambiguous data acquired through the usage of a fuzzy hexagonalmatrix. In this research, fuzzy matrices are defined, and an algorithm for medical diagnostic and treatment phases is devised. A fuzzy membership matrix is used to construct patient and drug information. The suggested algorithms are used to locate patients who have a disease.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133942214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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