2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)最新文献_第5页

Efficient Face Identification and Authentication Tool for Biometric Attendance System 生物识别考勤系统的高效人脸识别与认证工具

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9565990

Sahajpreet Singh, Sai Chandra Kumar Chintalacheruvu, Saksham Garg, Yash Giri, M. Kumar

{"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}

引用次数: 5

Figure of Merit Analysis of LRSPR Sensor using Graphene in NIR Regime 在近红外波段使用石墨烯的LRSPR传感器的优点分析图

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9566024

Narendra Pal, J. Maurya, Y. Prajapati

引用次数: 0

Voltage Profile Enhancement of a 33 Bus System Integrated with Renewable Energy Sources and Electric Vehicle 可再生能源和电动汽车集成33总线系统的电压分布增强

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9566111

Aishwarya Tripathy, M. M. Kar

引用次数: 1

Power Quality Enhancement of Cascaded H Bridge 5 Level and 7 Level Inverters 级联H桥5电平和7电平逆变器的电能质量提高

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9566143

Asha Singh, P. K. Nayak, R. Ruchira, P. Choudekar

引用次数: 0

Detection and Localization of Tampered Image using Hash Functions* 基于哈希函数的篡改图像检测与定位*

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9566130

Arpan Gupta, Amit Kumar, Tarun Chaudhary, Alka Leekha

引用次数: 1

Machine Learning approach to classify and predict different Osteosarcoma types 分类和预测不同骨肉瘤类型的机器学习方法

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9566061

Sanket Mahore, Kalyani Bhole, S. Rathod

引用次数: 7

A Comparative Analysis of DC - DC Boost Converter Voltages for Renewable Electrolysis 可再生电解用DC - DC升压变换器电压的比较分析

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9566103

Sheetal Chauhan, M. A. Ansari, O. Singh

{"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}

引用次数: 1

Miller Compensated Op-Amp Design for High PSRR & High Gain of 72dB in 180-nm CMOS Process 180nm CMOS工艺中72dB高PSRR高增益的Miller补偿运算放大器设计

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9565966

Abdul Qadir Khan, Harshit Yadav, Paurush Bhulania

{"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}

引用次数: 1

Development of an Algorithmic Approach for Hiding Sensitive Data and Recovery of Data based on Fingerprint Identification for Secure Cloud Storage 基于指纹识别的安全云存储敏感数据隐藏与恢复算法研究

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9566026

T. Lokhande, S. Sonekar, Aachal Wani

{"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}

引用次数: 0

Diabetes Type2 Patient Detection Using LASSO Based CFFNN Machine Learning Approach 基于LASSO的CFFNN机器学习方法检测2型糖尿病患者

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) Pub Date : 2021-08-26 DOI: 10.1109/SPIN52536.2021.9565965

Sandeep Tiwari, Nitesh Gupta, Pranay Yadav

引用次数: 11