Pub Date : 2023-04-05DOI: 10.1109/ICEEICT56924.2023.10157144
Neetika Yadav, N. Pandey, Deva Nand
To incorporate the benefits of both Carbon Nano Tube Field Effect Transistor (CNTFET) transistor technology and footed Dual Mode Logic (DML) style, this contribution introduces an energy efficient CNTFET based Dual Mode Logic style and is referred to as C-DML. Owing to continuous transistor scaling, MOSFET based DML design suffers large parametric variations, short channel effects, high heat dissipation and decreased gate control. To resolve these issues, the C-DML design is proposed and simulated for 2-input NAND, NOR and 2:1 multiplexer circuit using HSPICE tool with 32nm CNTFET Stanford model at 0.9V and 5fF load capacitance in static and dynamic mode for both footed type A and type B configuration. Power, delay, and PDP are used to compare the existing CMOS and proposed C-DML circuits. The proposed design offers a maximum PDP reduction of 92.66% in static mode and 79.08% in dynamic mode. The effect of temperature and voltage variations on the PDP of both CMOS and proposed CNTFET DML based 2:1 multiplexer is also investigated. It is observed that there is negligible effect of temperature on the performance of proposed C-DML based 2:1 multiplexer. A PDP reduction of 77.89%-83.82% in static mode and 82.07%-87.73% in dynamic mode is observed at different voltages. The proposed technique is capable of reducing PDP at all voltages and temperatures.
{"title":"Energy Efficient CNTFET based Dual Mode Logic (C-DML) Design","authors":"Neetika Yadav, N. Pandey, Deva Nand","doi":"10.1109/ICEEICT56924.2023.10157144","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157144","url":null,"abstract":"To incorporate the benefits of both Carbon Nano Tube Field Effect Transistor (CNTFET) transistor technology and footed Dual Mode Logic (DML) style, this contribution introduces an energy efficient CNTFET based Dual Mode Logic style and is referred to as C-DML. Owing to continuous transistor scaling, MOSFET based DML design suffers large parametric variations, short channel effects, high heat dissipation and decreased gate control. To resolve these issues, the C-DML design is proposed and simulated for 2-input NAND, NOR and 2:1 multiplexer circuit using HSPICE tool with 32nm CNTFET Stanford model at 0.9V and 5fF load capacitance in static and dynamic mode for both footed type A and type B configuration. Power, delay, and PDP are used to compare the existing CMOS and proposed C-DML circuits. The proposed design offers a maximum PDP reduction of 92.66% in static mode and 79.08% in dynamic mode. The effect of temperature and voltage variations on the PDP of both CMOS and proposed CNTFET DML based 2:1 multiplexer is also investigated. It is observed that there is negligible effect of temperature on the performance of proposed C-DML based 2:1 multiplexer. A PDP reduction of 77.89%-83.82% in static mode and 82.07%-87.73% in dynamic mode is observed at different voltages. The proposed technique is capable of reducing PDP at all voltages and temperatures.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"64 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":"124584953","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/ICEEICT56924.2023.10157516
Deepthy G S, Nesasudha M
Microwave breast imaging (MBI) promises a more accurate and safer modality for breast cancer detection to provide information about breast tissues that uses longer wavelength low power signals when compared to other conventional techniques like X-ray mammography. This paper includes the performance analysis of slot loaded microstrip patch antennas suitable for breast cancer detection. Four types of antennas structures: without any slits, with truncated corners, with L shaped slots and square shaped slits arranged serially are designed with the help of FR4(dielectric constant = 4.4) as the substrate which is simulated using CST software. The designed antenna has been compared with conventional ones and results shows the superiority of designed antenna in terms of S11parameter, gain, directivity, return loss. The gain of the designed antenna is far superior to that of conventional antennas. As such antennas are used extensively for medical applications the measure of specific absorption rate (SAR) becomes very critical. It has been observed in the different structures that insertion of slits, slots and truncations helps to vary the resonant frequency of the antenna and helps in achieving circular polarization which is needed for medical applications. Optimum performance is achieved using the designed antenna in terms of gain, VSWR, return loss and the radiation limits were obtained which falls within limit of 1.6 W/kg as recommended by FCC.
{"title":"Design and Analysis of Slot Loaded Microstrip Antenna for Breast Cancer Detection","authors":"Deepthy G S, Nesasudha M","doi":"10.1109/ICEEICT56924.2023.10157516","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157516","url":null,"abstract":"Microwave breast imaging (MBI) promises a more accurate and safer modality for breast cancer detection to provide information about breast tissues that uses longer wavelength low power signals when compared to other conventional techniques like X-ray mammography. This paper includes the performance analysis of slot loaded microstrip patch antennas suitable for breast cancer detection. Four types of antennas structures: without any slits, with truncated corners, with L shaped slots and square shaped slits arranged serially are designed with the help of FR4(dielectric constant = 4.4) as the substrate which is simulated using CST software. The designed antenna has been compared with conventional ones and results shows the superiority of designed antenna in terms of S11parameter, gain, directivity, return loss. The gain of the designed antenna is far superior to that of conventional antennas. As such antennas are used extensively for medical applications the measure of specific absorption rate (SAR) becomes very critical. It has been observed in the different structures that insertion of slits, slots and truncations helps to vary the resonant frequency of the antenna and helps in achieving circular polarization which is needed for medical applications. Optimum performance is achieved using the designed antenna in terms of gain, VSWR, return loss and the radiation limits were obtained which falls within limit of 1.6 W/kg as recommended by FCC.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"25 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":"123888221","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/ICEEICT56924.2023.10157194
M. Mathews, Sethilnathan T.
Vehicle Re-identification has evolved in recent times. Initially, clicking a single picture of a vehicle or a car was done manually, inviting the workforce to complete a specified task. With the growth in technology, the method and techniques in Vehicle Re-Id also have advanced, transforming from manual to automation. Surveillance cameras were used to capture vehicle images and retrieve information about a specific vehicle. Re-trieving and identifying the images of the vehicle is done using computer vision, the most important branch of computer science and artificial intelligence. Earlier, Vehicle Re-Id implemented a single algorithm on a dataset, making the corresponding result insufficient to determine its effects. This paper proposes a brief survey of multi-modal techniques and methods for vehicle re-identification and fingerprinting. The different attributes of the vehicle are considered for ANPR (Automatic number plate recognition) for identifying the number plate, focusing on the vehicle's details or features as the initial phase of identification, and then the vehicle number plate.
{"title":"A study of CNN models for re-identification of vehicles","authors":"M. Mathews, Sethilnathan T.","doi":"10.1109/ICEEICT56924.2023.10157194","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157194","url":null,"abstract":"Vehicle Re-identification has evolved in recent times. Initially, clicking a single picture of a vehicle or a car was done manually, inviting the workforce to complete a specified task. With the growth in technology, the method and techniques in Vehicle Re-Id also have advanced, transforming from manual to automation. Surveillance cameras were used to capture vehicle images and retrieve information about a specific vehicle. Re-trieving and identifying the images of the vehicle is done using computer vision, the most important branch of computer science and artificial intelligence. Earlier, Vehicle Re-Id implemented a single algorithm on a dataset, making the corresponding result insufficient to determine its effects. This paper proposes a brief survey of multi-modal techniques and methods for vehicle re-identification and fingerprinting. The different attributes of the vehicle are considered for ANPR (Automatic number plate recognition) for identifying the number plate, focusing on the vehicle's details or features as the initial phase of identification, and then the vehicle number plate.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"30 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":"116179738","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/ICEEICT56924.2023.10157622
P. Bhattacharjee, S. Barman
A spin-wave filter that can operate at gigahertz frequencies may be built using a nanostrip magnonic-crystal waveguide with spatially periodic width modulation. Here, micromagnetic simulations are used to demonstrate the unique planar structure of magnonic-crystal waveguide composed of a magnetic material. In this structure, the permitted and forbidden bands of propagating dipole-exchange spin waves may be adjusted by periodic modulation of varying widths in thin-film nanostrips. A periodic nanostrip with a variable width, in contrast to a normal nanostrip with a fixed width, results in the production of forbidden bands (band gaps) as a consequence of spin-wave reflection by the periodic potential spurred on by long-range dipolar interactions. In this work, it is shown that the band structures of a width-modulated magnonic-crystal waveguide can be effectively tuned by controlling the magnetic anisotropy with a voltage. This research may provide a path toward the practical implementation of gigahertz-frequency, broadband spin wave filters.
{"title":"Control of band gap of spin waves in width-modulated nanostrip using voltage-controlled magnetic anisotropy: Spin wave filter","authors":"P. Bhattacharjee, S. Barman","doi":"10.1109/ICEEICT56924.2023.10157622","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157622","url":null,"abstract":"A spin-wave filter that can operate at gigahertz frequencies may be built using a nanostrip magnonic-crystal waveguide with spatially periodic width modulation. Here, micromagnetic simulations are used to demonstrate the unique planar structure of magnonic-crystal waveguide composed of a magnetic material. In this structure, the permitted and forbidden bands of propagating dipole-exchange spin waves may be adjusted by periodic modulation of varying widths in thin-film nanostrips. A periodic nanostrip with a variable width, in contrast to a normal nanostrip with a fixed width, results in the production of forbidden bands (band gaps) as a consequence of spin-wave reflection by the periodic potential spurred on by long-range dipolar interactions. In this work, it is shown that the band structures of a width-modulated magnonic-crystal waveguide can be effectively tuned by controlling the magnetic anisotropy with a voltage. This research may provide a path toward the practical implementation of gigahertz-frequency, broadband spin wave filters.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"5 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":"128074499","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/ICEEICT56924.2023.10157726
Amruta A. Nikam, Rupali B. Patil
For vehicle roof tops, a circular polarized square-shaped slot type antenna is proposed. The higher GNSS band which ranges from 1.559 to 1.606 GHz, is covered by the proposed antenna. The patch, square slot and chemfering edges of patch work together to produce circular polarization modes that significantly increase the antenna 3-dB axial ratio (AR). The AR for the antenna element in the simulations is 1.19 dB, the axial ratio bandwidth is 65 MHz, the VSWR is near about 1, the S11 parameter is less than −10 dB, and the gain is 8 dBic over the frequency range. It is made of poly vinyl chloride with dimensions of 54 mm x54 mm x 6.8 mm. The design procedure is explained in depth, as well as the antenna operating mechanism. A completely functional prototype was created and measured to confirm the proposed antenna's performance. When the measured voltage standing wave ratio (VSWR) and the S11 Parameter are compared with the observed data, a satisfactory agreement is found. Future multiband antenna designs for automotive communication could incorporate this antenna along with 4G/5G/6G band antenna.
{"title":"Design of Circularly Polarized Antenna for Vehicular GNSS Application","authors":"Amruta A. Nikam, Rupali B. Patil","doi":"10.1109/ICEEICT56924.2023.10157726","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157726","url":null,"abstract":"For vehicle roof tops, a circular polarized square-shaped slot type antenna is proposed. The higher GNSS band which ranges from 1.559 to 1.606 GHz, is covered by the proposed antenna. The patch, square slot and chemfering edges of patch work together to produce circular polarization modes that significantly increase the antenna 3-dB axial ratio (AR). The AR for the antenna element in the simulations is 1.19 dB, the axial ratio bandwidth is 65 MHz, the VSWR is near about 1, the S11 parameter is less than −10 dB, and the gain is 8 dBic over the frequency range. It is made of poly vinyl chloride with dimensions of 54 mm x54 mm x 6.8 mm. The design procedure is explained in depth, as well as the antenna operating mechanism. A completely functional prototype was created and measured to confirm the proposed antenna's performance. When the measured voltage standing wave ratio (VSWR) and the S11 Parameter are compared with the observed data, a satisfactory agreement is found. Future multiband antenna designs for automotive communication could incorporate this antenna along with 4G/5G/6G band antenna.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"9 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":"125649978","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}
Electroencephalogram (EEG) signals specify the electrical signals caused by neurons, which are very helpful to discriminate different activities of the human brain. In order to distinguish between the various functions of the human brain, electroencephalogram (EEG) signals describe the electrical signals produced by neurons. Traditional time domain or frequency domain methods of analysis are useless for any application since these signals exhibit nonstationary features. In this study, we examined a variety of more sophisticated time-frequency-based EEG signal component extraction algorithms for grouping and using it for automatic alcohol detection. The machine learning algorithms for alcohol EEG detection are proposed in this paper. It is made sense to conduct a thorough analysis of the decay of signs into recurrence subgroups using wavelet approach, DWT, and a set of quantifiable highlights that were subtracted from the EEG signals to address the circulation of wave coefficients. Furthermore, techniques like ICA and PCA are utilized for decreasing the feature vector dimensions, also an aspect of information and sign vectors which can be changed over completely to highlights vectors. Finally, a linear discriminant analysis (LDA) based classifier has been used after information decrease by reasonable determination technique and the classification performance has been measured by the parameters such as specificity, sensitivity and accuracy. These values in our work are 98.9%, 98.2% and 98.7% respectively.
{"title":"Computer Based Detection of Alcoholism using EEG Signals","authors":"Garima Chandel, Ashish Sharma, Sonia Bajaj, Saweta Verma","doi":"10.1109/ICEEICT56924.2023.10157879","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157879","url":null,"abstract":"Electroencephalogram (EEG) signals specify the electrical signals caused by neurons, which are very helpful to discriminate different activities of the human brain. In order to distinguish between the various functions of the human brain, electroencephalogram (EEG) signals describe the electrical signals produced by neurons. Traditional time domain or frequency domain methods of analysis are useless for any application since these signals exhibit nonstationary features. In this study, we examined a variety of more sophisticated time-frequency-based EEG signal component extraction algorithms for grouping and using it for automatic alcohol detection. The machine learning algorithms for alcohol EEG detection are proposed in this paper. It is made sense to conduct a thorough analysis of the decay of signs into recurrence subgroups using wavelet approach, DWT, and a set of quantifiable highlights that were subtracted from the EEG signals to address the circulation of wave coefficients. Furthermore, techniques like ICA and PCA are utilized for decreasing the feature vector dimensions, also an aspect of information and sign vectors which can be changed over completely to highlights vectors. Finally, a linear discriminant analysis (LDA) based classifier has been used after information decrease by reasonable determination technique and the classification performance has been measured by the parameters such as specificity, sensitivity and accuracy. These values in our work are 98.9%, 98.2% and 98.7% respectively.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"1 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":"130434535","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/ICEEICT56924.2023.10157226
P. Gnanachandra, A. M. Kumar, M. Seenivasan, R. Ramesh
In this article, we generalize the idea of fuzzy topological group to fuzzy paratopological group, fuzzy semitopological group and fuzzy quasitopological group with illustrated examples and properties. We proved that each fuzzy regular paratopological group is completely regular by using fuzzy uniformities. In addition, we model a robotic crash by using generalizations of fuzzy topological group and nano topology.
{"title":"On generalization of fuzzy topological groups and Modelling Robotic crash*","authors":"P. Gnanachandra, A. M. Kumar, M. Seenivasan, R. Ramesh","doi":"10.1109/ICEEICT56924.2023.10157226","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157226","url":null,"abstract":"In this article, we generalize the idea of fuzzy topological group to fuzzy paratopological group, fuzzy semitopological group and fuzzy quasitopological group with illustrated examples and properties. We proved that each fuzzy regular paratopological group is completely regular by using fuzzy uniformities. In addition, we model a robotic crash by using generalizations of fuzzy topological group and nano topology.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"3 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":"130854557","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/ICEEICT56924.2023.10157168
R. K. Ajeena, Shatha Mohammed Hashim, F. A. Abdullatif
The intersection of cryptography and number theory has been encapsulated by studying the graph theory. The graphs have an important role in building the cryptographic schemes. In this work, a new contribution has been proposed by using the Mersenne numbers. These numbers are used to define new weighted graphs which named by Mersenne weight graphs (MWG). An efficient symmetric encryption (SE) scheme using MWG has been formed. The implementation results of a proposed algorithm are presented in this study. The security analysis of the proposed MWG-SE algorithm is discussed as well.
{"title":"Mersenne Weighted Graph for Increasing the Symmetric Encryption Schemes Security","authors":"R. K. Ajeena, Shatha Mohammed Hashim, F. A. Abdullatif","doi":"10.1109/ICEEICT56924.2023.10157168","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157168","url":null,"abstract":"The intersection of cryptography and number theory has been encapsulated by studying the graph theory. The graphs have an important role in building the cryptographic schemes. In this work, a new contribution has been proposed by using the Mersenne numbers. These numbers are used to define new weighted graphs which named by Mersenne weight graphs (MWG). An efficient symmetric encryption (SE) scheme using MWG has been formed. The implementation results of a proposed algorithm are presented in this study. The security analysis of the proposed MWG-SE algorithm is discussed as well.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"1 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":"131248974","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/ICEEICT56924.2023.10157637
Vemu Santhi Sri, G. Lakshmi
Chronic kidney disease (CKD) is a global health burden that affects approximately 10% of the adult populationin the world. It is also recognized as the top 20 causes of death worldwide. Unfortunately, there is no cure for CKD houserver, it is possible to slow down its progression and mollify the damage by early diagnosis of the disease. Therefore, the use of modern computer-aided methods is necessary to aid the traditional CKD diagnosis system to be more efficient and accurate. Our proposed model is RCNN to classify the Tumour Area in the X-ray Kidney Image. Compare the Deep Learning Techniques of Mask RCNN Model with other models. Evaluated model is compared with other models by metrics of the Mask R-CNN model and Tuned Hyper parameter CNN Model. It gives Training accuracy of 0.9861 and testing accuracy of 0.9389 in the 5th Epochs of Mask RCNN Algorithm. And also, method uses More Metrics of PrecisionRecall, and F1-Score by comparing the RCNN Model and Hyper tuned CNN Model.
{"title":"Detection Analysis of Abnormality in Kidney using Deep Learning Techniques and its Optimization","authors":"Vemu Santhi Sri, G. Lakshmi","doi":"10.1109/ICEEICT56924.2023.10157637","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157637","url":null,"abstract":"Chronic kidney disease (CKD) is a global health burden that affects approximately 10% of the adult populationin the world. It is also recognized as the top 20 causes of death worldwide. Unfortunately, there is no cure for CKD houserver, it is possible to slow down its progression and mollify the damage by early diagnosis of the disease. Therefore, the use of modern computer-aided methods is necessary to aid the traditional CKD diagnosis system to be more efficient and accurate. Our proposed model is RCNN to classify the Tumour Area in the X-ray Kidney Image. Compare the Deep Learning Techniques of Mask RCNN Model with other models. Evaluated model is compared with other models by metrics of the Mask R-CNN model and Tuned Hyper parameter CNN Model. It gives Training accuracy of 0.9861 and testing accuracy of 0.9389 in the 5th Epochs of Mask RCNN Algorithm. And also, method uses More Metrics of PrecisionRecall, and F1-Score by comparing the RCNN Model and Hyper tuned CNN Model.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"19 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":"127802865","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/ICEEICT56924.2023.10157902
Manuel Wilson, Malavika S. Nair, Pramod P. Nair, Anusree M
Data mining is the process of discovering patterns, relationships, and insights from large datasets using various computational techniques. Association Rules is a data mining method to find various relations between items in an itemset. The Apriori algorithm is a popular and classical algorithm for association rule mining. It has been observed that an increase in the number of candidate sets decreases the efficiency of the Apriori algorithm rapidly. To overcome this issue, the hashing technique, which uses a hash function to reduce the size of the candidate set itemset, is often used. In this paper, a perfect hashing function for a d-itemset is proposed. The efficiency of the Apriori algorithm is enhanced by using the hash function.
{"title":"A perfect hashing to enhance the performance of Apriori algorithm","authors":"Manuel Wilson, Malavika S. Nair, Pramod P. Nair, Anusree M","doi":"10.1109/ICEEICT56924.2023.10157902","DOIUrl":"https://doi.org/10.1109/ICEEICT56924.2023.10157902","url":null,"abstract":"Data mining is the process of discovering patterns, relationships, and insights from large datasets using various computational techniques. Association Rules is a data mining method to find various relations between items in an itemset. The Apriori algorithm is a popular and classical algorithm for association rule mining. It has been observed that an increase in the number of candidate sets decreases the efficiency of the Apriori algorithm rapidly. To overcome this issue, the hashing technique, which uses a hash function to reduce the size of the candidate set itemset, is often used. In this paper, a perfect hashing function for a d-itemset is proposed. The efficiency of the Apriori algorithm is enhanced by using the hash function.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"46 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":"131858051","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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