Pub Date : 2021-08-26DOI: 10.1109/SPIN52536.2021.9565990
Sahajpreet Singh, Sai Chandra Kumar Chintalacheruvu, Saksham Garg, Yash Giri, M. Kumar
Digitalization has been on the rise in the professional, educational, commercial, financial, and basically every major relevant field of the world for much of this century. As every institution race towards ensuring an online presence and accessibility, people have become reliant on digital utilities, sometimes more so than their physical versions. Among the many facilities that are being digitalized, one of them is very relevant to students, employees and organizations which handle mass numbers of people, the attendance system. This is one facility that is still plagued by many errors and loopholes despite its recent development. There is a lack of a secure, robust, userfriendly, automated, and live attendance collection system. This research paper aims to capitalize on this problem and provide a possible solution that addresses these issues.Method: Face recognition system is one such model, which is used to detect real-time human faces. These are used to look for front and side-looking faces and detect them using some technique. They are functioned on the basis of different algorithms. One such algorithm is the LBPH algorithm which this research paper will be talking about. It was earlier used only for text-recognition. But with time, it has evolved and now is able to detect faces with the help of some linking algorithms.Results: This research paper helped us to get an overview on how face recognition system which is in every way a robust, secure and contact-less system can be made. Also, how LBPH algorithm best suits in making such model can be seen through this paper.
{"title":"Efficient Face Identification and Authentication Tool for Biometric Attendance System","authors":"Sahajpreet Singh, Sai Chandra Kumar Chintalacheruvu, Saksham Garg, Yash Giri, M. Kumar","doi":"10.1109/SPIN52536.2021.9565990","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9565990","url":null,"abstract":"Digitalization has been on the rise in the professional, educational, commercial, financial, and basically every major relevant field of the world for much of this century. As every institution race towards ensuring an online presence and accessibility, people have become reliant on digital utilities, sometimes more so than their physical versions. Among the many facilities that are being digitalized, one of them is very relevant to students, employees and organizations which handle mass numbers of people, the attendance system. This is one facility that is still plagued by many errors and loopholes despite its recent development. There is a lack of a secure, robust, userfriendly, automated, and live attendance collection system. This research paper aims to capitalize on this problem and provide a possible solution that addresses these issues.Method: Face recognition system is one such model, which is used to detect real-time human faces. These are used to look for front and side-looking faces and detect them using some technique. They are functioned on the basis of different algorithms. One such algorithm is the LBPH algorithm which this research paper will be talking about. It was earlier used only for text-recognition. But with time, it has evolved and now is able to detect faces with the help of some linking algorithms.Results: This research paper helped us to get an overview on how face recognition system which is in every way a robust, secure and contact-less system can be made. Also, how LBPH algorithm best suits in making such model can be seen through this paper.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114337295","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9566024
Narendra Pal, J. Maurya, Y. Prajapati
In this work, LRSPR sensor for detection of macro biomolecules in near infrared range is presented. Using a buffer layer of dielectric with low refractive index between the prism and metal, a long-range surface plasmon resonance (LRSPR) biosensor that exhibits large detection accuracy as well as high figure of merit is proposed. Two-dimensional (2D) material graphene is used to attach biomolecules through carbon-carbon pi-stacking forces. First, the theoretical simulations for optimizing the thicknesses of dielectric buffer layer (Cytop) and gold (Au) metal layer has been carried out. Then, performance parameters DA and FOM were analyzed. The highest FOM of 847.4 RIU−1 is accomplished for the proposed LRSPR sensor with the use of 1500nm thickness of Cytop. We believe that the proposed LRSPR sensor with high DA and FOM could provide potential applications in medical and biosensing field.
{"title":"Figure of Merit Analysis of LRSPR Sensor using Graphene in NIR Regime","authors":"Narendra Pal, J. Maurya, Y. Prajapati","doi":"10.1109/SPIN52536.2021.9566024","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9566024","url":null,"abstract":"In this work, LRSPR sensor for detection of macro biomolecules in near infrared range is presented. Using a buffer layer of dielectric with low refractive index between the prism and metal, a long-range surface plasmon resonance (LRSPR) biosensor that exhibits large detection accuracy as well as high figure of merit is proposed. Two-dimensional (2D) material graphene is used to attach biomolecules through carbon-carbon pi-stacking forces. First, the theoretical simulations for optimizing the thicknesses of dielectric buffer layer (Cytop) and gold (Au) metal layer has been carried out. Then, performance parameters DA and FOM were analyzed. The highest FOM of 847.4 RIU−1 is accomplished for the proposed LRSPR sensor with the use of 1500nm thickness of Cytop. We believe that the proposed LRSPR sensor with high DA and FOM could provide potential applications in medical and biosensing field.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114649157","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9566111
Aishwarya Tripathy, M. M. Kar
With the increasing rise in global power demand, it is becoming necessary to integrate renewable energy sources into conventional radial distribution systems (RDS). IEEE 33 bus RDS is considered in this study, with solar PV sources incorporated for power loss reduction, voltage fluctuation, and improve the system efficiency. For the purpose of charging and discharging, some electric vehicles (EV) are incorporated into the test system. The objective of the study is to analyze how EVs and Renewable energy sources (RES) affect the voltage profile in the RDS. As RES is introduced in the test system, the voltage profile is improved. To decrease voltage fluctuations, the usage of the hull moving average (HMA) is recommended, which avoids the lag problem associated with the commonly used moving average approaches. The genetic algorithm (GA) is used to solve the optimization problem accurately. The simulation results show that the suggested strategy is effective at smoothing voltage fluctuations while taking into account EV battery degradation and charging plans.
{"title":"Voltage Profile Enhancement of a 33 Bus System Integrated with Renewable Energy Sources and Electric Vehicle","authors":"Aishwarya Tripathy, M. M. Kar","doi":"10.1109/SPIN52536.2021.9566111","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9566111","url":null,"abstract":"With the increasing rise in global power demand, it is becoming necessary to integrate renewable energy sources into conventional radial distribution systems (RDS). IEEE 33 bus RDS is considered in this study, with solar PV sources incorporated for power loss reduction, voltage fluctuation, and improve the system efficiency. For the purpose of charging and discharging, some electric vehicles (EV) are incorporated into the test system. The objective of the study is to analyze how EVs and Renewable energy sources (RES) affect the voltage profile in the RDS. As RES is introduced in the test system, the voltage profile is improved. To decrease voltage fluctuations, the usage of the hull moving average (HMA) is recommended, which avoids the lag problem associated with the commonly used moving average approaches. The genetic algorithm (GA) is used to solve the optimization problem accurately. The simulation results show that the suggested strategy is effective at smoothing voltage fluctuations while taking into account EV battery degradation and charging plans.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"145 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114093507","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9566143
Asha Singh, P. K. Nayak, R. Ruchira, P. Choudekar
Multilevel inverters are capable of attaining a staircase output voltage waveform with reduced harmonic content. In this paper, cascaded H bridge 5 level and 7 level inverters are simulated in MATLAB/SIMULINK. The power quality analysis has been carried out for both the designs with and without filters. Filters used at the output of the inverters are low pass filters and second order filters. The amount of deviation of output waveforms from the pure sinusoidal waveforms has been measured as total harmonic distortion. Comparison of both the inverter topologies with and without filters has been done on the basis of Total Harmonic Distortion (THD).
{"title":"Power Quality Enhancement of Cascaded H Bridge 5 Level and 7 Level Inverters","authors":"Asha Singh, P. K. Nayak, R. Ruchira, P. Choudekar","doi":"10.1109/SPIN52536.2021.9566143","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9566143","url":null,"abstract":"Multilevel inverters are capable of attaining a staircase output voltage waveform with reduced harmonic content. In this paper, cascaded H bridge 5 level and 7 level inverters are simulated in MATLAB/SIMULINK. The power quality analysis has been carried out for both the designs with and without filters. Filters used at the output of the inverters are low pass filters and second order filters. The amount of deviation of output waveforms from the pure sinusoidal waveforms has been measured as total harmonic distortion. Comparison of both the inverter topologies with and without filters has been done on the basis of Total Harmonic Distortion (THD).","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"59 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114107311","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9566130
Arpan Gupta, Amit Kumar, Tarun Chaudhary, Alka Leekha
In this fast-developing world digital dependency has taken up great heights. With its immense usage comes the concept of revealing false information of an image to feed the dreadful intention which is called nothing but Image Forgery. The duplicated or forged image is operated in a way that detecting the tampered regions can be an exhaustible task. The paper exactly deals with such alterations in the structure of the image. It offers a Hashing technique, which as best described, helps to detect and locate the tampered regions of the image. A comparison of various Hash Functions like MD5 and SHA-2, in particular, is put into effect with its implementation highlighting the desired tampered region of the image which is facilitated by the sliding window approach.
{"title":"Detection and Localization of Tampered Image using Hash Functions*","authors":"Arpan Gupta, Amit Kumar, Tarun Chaudhary, Alka Leekha","doi":"10.1109/SPIN52536.2021.9566130","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9566130","url":null,"abstract":"In this fast-developing world digital dependency has taken up great heights. With its immense usage comes the concept of revealing false information of an image to feed the dreadful intention which is called nothing but Image Forgery. The duplicated or forged image is operated in a way that detecting the tampered regions can be an exhaustible task. The paper exactly deals with such alterations in the structure of the image. It offers a Hashing technique, which as best described, helps to detect and locate the tampered regions of the image. A comparison of various Hash Functions like MD5 and SHA-2, in particular, is put into effect with its implementation highlighting the desired tampered region of the image which is facilitated by the sliding window approach.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115595451","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9566061
Sanket Mahore, Kalyani Bhole, S. Rathod
Family physicians rarely see a malignant bone cancer because it is hard to find, and most of the time, bone cancer is benign. It is very time-consuming and complicated for the pathologist to classify Osteosarcoma histopathological images. Typically Osteosarcoma classifies into viable, Non-viable, and Non-tumor classes, but intra-class variation and inter-class similarity are complex tasks. This paper used the Random Forest(RF) machine learning algorithm, which efficiently and accurately classifies Osteosarcoma into Viable, Non-viable, and Non-tumor classes. The Random Forest method gives a classification accuracy of 92.40%, a sensitivity of 85.44%, and specificity 93.38% with AUC=0.95.
{"title":"Machine Learning approach to classify and predict different Osteosarcoma types","authors":"Sanket Mahore, Kalyani Bhole, S. Rathod","doi":"10.1109/SPIN52536.2021.9566061","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9566061","url":null,"abstract":"Family physicians rarely see a malignant bone cancer because it is hard to find, and most of the time, bone cancer is benign. It is very time-consuming and complicated for the pathologist to classify Osteosarcoma histopathological images. Typically Osteosarcoma classifies into viable, Non-viable, and Non-tumor classes, but intra-class variation and inter-class similarity are complex tasks. This paper used the Random Forest(RF) machine learning algorithm, which efficiently and accurately classifies Osteosarcoma into Viable, Non-viable, and Non-tumor classes. The Random Forest method gives a classification accuracy of 92.40%, a sensitivity of 85.44%, and specificity 93.38% with AUC=0.95.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124998470","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9566103
Sheetal Chauhan, M. A. Ansari, O. Singh
The process that is responsible for changing a particular DC voltage to another DC voltage is termed as DC- to-DC voltage conversion. There are three types of DC-to-DC power converters. They are Buck Converter, Boost Converter and Buck-Boost Converter. Buck converter steps down voltage from its input to its output while a buck-boost converter maintains higher or lower output, which depends on the source voltage. A boost converter is a system where voltage at the output terminal is higher than the source voltage. It is generally referred by the name "step-up" converter because of its source voltage stepping up capability. Since, power must always be conserved; current at the output terminal is lower than the current at the input terminal. Power requirement for the boost converter can be fulfilled using some efficient DC source, such as batteries, PV panels and DC generators. Boost converter finds application in consumer electronics, DC motor drives, photovoltaic systems and so on. This paper presents a detailed analysis of DC-to-DC boost converter voltages for renewable electrolysis. The paper presents two circuit topologies of the boost converter viz. one with transformer and the other without transformer. A comparative analysis of these circuit topologies is done and MATLAB simulation results are obtained. It has been proved that the topology using a voltage-matching transformer of high frequency is better. In the analysis, the topology with transformer is proved better for renewable electrolysis due to its regulated output voltage and ripple-free characteristic.
{"title":"A Comparative Analysis of DC - DC Boost Converter Voltages for Renewable Electrolysis","authors":"Sheetal Chauhan, M. A. Ansari, O. Singh","doi":"10.1109/SPIN52536.2021.9566103","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9566103","url":null,"abstract":"The process that is responsible for changing a particular DC voltage to another DC voltage is termed as DC- to-DC voltage conversion. There are three types of DC-to-DC power converters. They are Buck Converter, Boost Converter and Buck-Boost Converter. Buck converter steps down voltage from its input to its output while a buck-boost converter maintains higher or lower output, which depends on the source voltage. A boost converter is a system where voltage at the output terminal is higher than the source voltage. It is generally referred by the name \"step-up\" converter because of its source voltage stepping up capability. Since, power must always be conserved; current at the output terminal is lower than the current at the input terminal. Power requirement for the boost converter can be fulfilled using some efficient DC source, such as batteries, PV panels and DC generators. Boost converter finds application in consumer electronics, DC motor drives, photovoltaic systems and so on. This paper presents a detailed analysis of DC-to-DC boost converter voltages for renewable electrolysis. The paper presents two circuit topologies of the boost converter viz. one with transformer and the other without transformer. A comparative analysis of these circuit topologies is done and MATLAB simulation results are obtained. It has been proved that the topology using a voltage-matching transformer of high frequency is better. In the analysis, the topology with transformer is proved better for renewable electrolysis due to its regulated output voltage and ripple-free characteristic.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123505294","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9565966
Abdul Qadir Khan, Harshit Yadav, Paurush Bhulania
Design of two stage Complementry Metal Oxide Semiconductor Operational amplifier has presented in this work, where the OpAmp is designed on T-SPICE with the help of 180 nm technology, also with miller compensation technique for large gain and PSRR. On incorporating the components of external feedback deployment, the op-amp can be utilized for a many applications e.g. in amplifications in ac & dc signals, oscillators, filters, regulators, comparators & other circuits. In this work, emphasis is given for achieving product of a large gain & also higher gain bandwidth. Work has been for obtaining a higher stability value in terms of Phase Margin & less dissipating power. Number of simulations had been presented for testing the targeted parameters, confirming a 72 dB gain with 51 MHz GBW. The phase margin of 57° have attained along with a slew rate value of 24 V/μs. The design & various simulations had carried out for validating the performance of power dissipation having value 290 μW & value of PSRR as 94.66 dB. With all results, the proposed Op-Amp provides a good use in comparator & other data converting services.
{"title":"Miller Compensated Op-Amp Design for High PSRR & High Gain of 72dB in 180-nm CMOS Process","authors":"Abdul Qadir Khan, Harshit Yadav, Paurush Bhulania","doi":"10.1109/SPIN52536.2021.9565966","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9565966","url":null,"abstract":"Design of two stage Complementry Metal Oxide Semiconductor Operational amplifier has presented in this work, where the OpAmp is designed on T-SPICE with the help of 180 nm technology, also with miller compensation technique for large gain and PSRR. On incorporating the components of external feedback deployment, the op-amp can be utilized for a many applications e.g. in amplifications in ac & dc signals, oscillators, filters, regulators, comparators & other circuits. In this work, emphasis is given for achieving product of a large gain & also higher gain bandwidth. Work has been for obtaining a higher stability value in terms of Phase Margin & less dissipating power. Number of simulations had been presented for testing the targeted parameters, confirming a 72 dB gain with 51 MHz GBW. The phase margin of 57° have attained along with a slew rate value of 24 V/μs. The design & various simulations had carried out for validating the performance of power dissipation having value 290 μW & value of PSRR as 94.66 dB. With all results, the proposed Op-Amp provides a good use in comparator & other data converting services.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121988318","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9566026
T. Lokhande, S. Sonekar, Aachal Wani
Information Security is a unified piece of information technology that has emerged as vibrant technology in the last two decades. To manage security, authentication assumes a significant part. Biometric is the physical unique identification as well as authentication for the third party. We have proposed the security model for preventing many attacks so we are used the innermost layer as a 3DES (Triple Encryption standard) cryptography algorithm that is providing 3- key protection as 64-bit and the outermost layer used the MD5 (Message Digest) algorithm. i. e. providing 128-bit protection as well as we is using fingerprint identification as physical security that is used in third-party remote integrity auditing. Remote data integrity auditing is proposed to ensure the uprightness of the information put away in the cloud. Data Storage of cloud services has expanded paces of acknowledgment because of their adaptability and the worry of the security and privacy levels. The large number of integrity and security issues that arise depends on the difference between the customer and the service provider in the sense of an external auditor. The remote data integrity auditing is at this point prepared to be viably executed. In the meantime, the proposed scheme is depending on identity-based cryptography, which works on the convoluted testament of the executives. The safety investigation and the exhibition assessment show that the planned property is safe and productive.
{"title":"Development of an Algorithmic Approach for Hiding Sensitive Data and Recovery of Data based on Fingerprint Identification for Secure Cloud Storage","authors":"T. Lokhande, S. Sonekar, Aachal Wani","doi":"10.1109/SPIN52536.2021.9566026","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9566026","url":null,"abstract":"Information Security is a unified piece of information technology that has emerged as vibrant technology in the last two decades. To manage security, authentication assumes a significant part. Biometric is the physical unique identification as well as authentication for the third party. We have proposed the security model for preventing many attacks so we are used the innermost layer as a 3DES (Triple Encryption standard) cryptography algorithm that is providing 3- key protection as 64-bit and the outermost layer used the MD5 (Message Digest) algorithm. i. e. providing 128-bit protection as well as we is using fingerprint identification as physical security that is used in third-party remote integrity auditing. Remote data integrity auditing is proposed to ensure the uprightness of the information put away in the cloud. Data Storage of cloud services has expanded paces of acknowledgment because of their adaptability and the worry of the security and privacy levels. The large number of integrity and security issues that arise depends on the difference between the customer and the service provider in the sense of an external auditor. The remote data integrity auditing is at this point prepared to be viably executed. In the meantime, the proposed scheme is depending on identity-based cryptography, which works on the convoluted testament of the executives. The safety investigation and the exhibition assessment show that the planned property is safe and productive.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124587512","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 : 2021-08-26DOI: 10.1109/SPIN52536.2021.9565965
Sandeep Tiwari, Nitesh Gupta, Pranay Yadav
Type 2 diabetes is a long-lived condition that prevents the insulin human system properly using. Insulin sensitivity is a condition that affects patients with type 2 diabetes. This type of diabetes seems to be more common among people in their early and middle years of life. In the proposed hybrid model is the combination of cascaded feed forward neural network (CFFNN) and Lasso Regression method. Lasso regression has always been a kind of regression in deep learning, which participate in training with the decision of functions. The absolute magnitude of the regression coefficient is prohibited. For the simulation of proposed method utilize MATlab (r2018b). For the analysis Diabetes Type2 Patient use Pima Indian and UCI data sets. The proposed hybrid approach shows better outcomes as compare to other recently presented methods in terms of accuracy and other performance parameters.
{"title":"Diabetes Type2 Patient Detection Using LASSO Based CFFNN Machine Learning Approach","authors":"Sandeep Tiwari, Nitesh Gupta, Pranay Yadav","doi":"10.1109/SPIN52536.2021.9565965","DOIUrl":"https://doi.org/10.1109/SPIN52536.2021.9565965","url":null,"abstract":"Type 2 diabetes is a long-lived condition that prevents the insulin human system properly using. Insulin sensitivity is a condition that affects patients with type 2 diabetes. This type of diabetes seems to be more common among people in their early and middle years of life. In the proposed hybrid model is the combination of cascaded feed forward neural network (CFFNN) and Lasso Regression method. Lasso regression has always been a kind of regression in deep learning, which participate in training with the decision of functions. The absolute magnitude of the regression coefficient is prohibited. For the simulation of proposed method utilize MATlab (r2018b). For the analysis Diabetes Type2 Patient use Pima Indian and UCI data sets. The proposed hybrid approach shows better outcomes as compare to other recently presented methods in terms of accuracy and other performance parameters.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994370","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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