Doriginti Mohammad, Kanna Rakesh, Geethu Remadevi Somanathan, R. Bhakthavatchalu
{"title":"Programmable Variable-Length Pseudo-Random Sequence Generator","authors":"Doriginti Mohammad, Kanna Rakesh, Geethu Remadevi Somanathan, R. Bhakthavatchalu","doi":"10.1109/ICAECT54875.2022.9808067","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808067","url":null,"abstract":"In this work, a Programmable Variable-Length Pseudo-Random Sequence Generator is designed which generates test patterns of different lengths depending on a set of input signals from the user. According to the inputs, the proposed design is able to select from different feedback paths which are based on different primitive and non-primitive polynomials and thus capable of producing multi-pattern sequences of different lengths. This system is used to implement multiple polynomials of degree 2 to 10 in Vivado. The proposed system can be used in various applications, including Built-In Self-Test (BIST), wireless communications and cryptography.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133877550","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}
R. Perez-Siguas, H. Matta-Solis, E. Matta-Solis, Lourdes Matta-Zamudio
{"title":"Automated Attendance Control System for Health Center Staff","authors":"R. Perez-Siguas, H. Matta-Solis, E. Matta-Solis, Lourdes Matta-Zamudio","doi":"10.1109/ICAECT54875.2022.9808069","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808069","url":null,"abstract":"The world is still affected by SARS-COV-2 that was spreading little by little and generated many human losses, causing an economic crisis worldwide, which led governments to declare a quarantine to avoid physical contact since medical personnel were doing their best to control the virus, but it was not enough. Given this, a growth in the development of automation technologies was observed, this technology has been applied in the annotation of worker assistance sheets, where previously it was necessary to supervise someone being a non-optimal method and causing loss of time in the process of looking for previous files that by mistake were not registered, there is some physical contact. In view of this problem, in this article an automated attendance control system was made for the staff of the health center and verify their time of entry and exit of each worker to be visualized through a user interface, with this it will be possible to control the labor discipline of each worker since this system will store in the cloud the data that is recorded daily in an orderly manner. replacing the manual system. Through the development of the system, it was observed that the system works effectively since an efficiency of 94.17% was obtained in its operation to control the time of entry and exit of each worker, being an accepted value since the process is conducted quickly and lightly.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133232562","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}
{"title":"Grid Tied Photovoltaic Based Electric Vehicle Charging Infrastructure","authors":"M. Gupta, A. K. Seth, Mukhtiar Singh","doi":"10.1109/ICAECT54875.2022.9808038","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808038","url":null,"abstract":"This paper presents detailed simulation of grid tied photovoltaic (PV) based an electric vehicle (EV) charging infrastructure. The EV charger can work in both modes of power flow i.e., grid to vehicle (G2V) and vehicle to grid (V2G), which can be employed in diverse load power requirement scenarios. The overall system uses various converters at each stage, boost converter for harnessing solar PV power, a bi-directional buck-boost converter for EV charging, and a voltage source converter (VSC) with LCL filter for integrating overall system with the grid. The controlling of DC-DC boost converter for extracting peak power output is done using maximum power point tracking (MPPT) technique. The controller associated with bidirectional buck-boost converter is used for controlling power flow of battery pack. Moreover, the controller of grid side bidirectional AC-DC converter is utilized for controlling DC-link voltage. The system presented in this paper contributes towards maximizing energy output from PV system with perturbation and observation (P&O), uninterrupted EV charging, enhancing grid performance and using EV as a form of energy storage system when required. Extensive simulation for various power flow modes have been performed to verify the aforementioned claims. The overall design and simulation work is executed in MATLAB/Simulink software and results are confirmed for various input conditions.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134559509","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}
{"title":"Improve Security Using Steganography and Cryptography Based on Smartphone Users Locations","authors":"Anfal Mahmood Ahmed, A. Nori","doi":"10.1109/ICAECT54875.2022.9808046","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808046","url":null,"abstract":"Smartphones have become one of the most important used devices worldwide. This is, in fact, due to the significant advances in: communication technology, mobility, and the development of various types of these devices. They have been used for communication, entertainment, navigation, etc. Smartphones are usually integrated with navigation systems such as The Global Positioning System (GPS). As a result, the location of smartphone users can be determined via such systems. The security of transmitting information over mobile phone networks is an issue by itself. In this paper, proposed a system that integrates the location of the smartphone obtained via GPS with steganography for transmitting confidential information, and an encryption method to improve the security of the transmitted information. The proposed system has implemented the Twofish Algorithm to encrypt confidential information, and the RSA algorithm to encrypt the GPS coordinates that will serve as keys. A number of measures of image quality were used to evaluate the proposed system such as MSE, PSNR, SSIM and NCC. As a result of this integration, the proposed system showed more flexibility and a high level of security.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130778579","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}
R. Remya, B. Shan, K. Umamaheshwari, D. Derwin, D. Lavanya
{"title":"Improved DWT Algorithm for Filtering of MRI Images for an Efficient Diagnosis","authors":"R. Remya, B. Shan, K. Umamaheshwari, D. Derwin, D. Lavanya","doi":"10.1109/ICAECT54875.2022.9807955","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807955","url":null,"abstract":"Medical scan images allow the Expert to identify the abnormal regions present in the image at its earlier stage. The detection of irregularity in the images becomes a difficult task; if the noise captures under any noisy effect. Such a difficulty is overwhelmed by image filtering after the scanning process. The methodology first converts the RGB to a grayscale image. After that, image filtering has done by the modified DWT (Discrete Wavelet Transform) filtering approach. To evaluate the performance of the proposed algorithm, it utilizes variegated performance metrics includes PSNR (Peak Signal to Noise Ratio), SSIM (Structural Similarity Index Measure), NK (Normalized Cross-Correlation), SC (Structural Content), MD (Maximum Difference), and NAE (Normalized Absolute Error). It has computed between the denoised image and the input image. The experimentation has to be computed on four different medical images, which incorporates brain tumor, skin lesion, chest X-Ray, and lung cancer. The average attained for PSNR, SSIM, NK, SC, and NAE were better for overall set of images. These results exploit that the new approach can potentially improve the filtering performance.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133824502","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}
B. Ghosh, Siddhartha Banerjee, Ayush Chakraborty, Swapnajoy Saha, J. K. Mandal
{"title":"A Deep Learning Based Image Steganalysis Using Gray Level Co-Occurrence Matrix","authors":"B. Ghosh, Siddhartha Banerjee, Ayush Chakraborty, Swapnajoy Saha, J. K. Mandal","doi":"10.1109/ICAECT54875.2022.9808013","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808013","url":null,"abstract":"Image steganalysis is the technique to identify steganography in images and if possible try to predict the quantity of hidden data. Targeted steganalysis need the knowledge of the steganographic algorithm used to embed the data, whereas blind steganalysis is independent of the embedding process. Its objective is to find patterns in the stego image that are generated due to steganographic process. This work proposed an elegant technique of blind steganalysis which takes input clean image from a benchmark dataset and find the co-occurrence matrix of grayscale image(GLCM) for four pixel pair direction and produces average GLCM. After that PCA and Haralick features are generated from average GLCM. Next, steganographic embedding is applied to the clean images with Steghide application with different payload. Each of this stego images are applied similar feature extraction process as clean images in the dataset. Now a deep neural network based model is trained on the prepared dataset with proper label. The proposed method gives 90.93% and 84.63% accuracy for LFW and BOSS dataset respectively and outperform many similar algorithms.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114234683","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}
Md. Mehadi Hasan Shamim, Sidratul Montaha Silmee, M. Sikder
{"title":"Design and Techno-economic Analysis of a Grid-connected Solar Photovoltaic System in Bangladesh","authors":"Md. Mehadi Hasan Shamim, Sidratul Montaha Silmee, M. Sikder","doi":"10.1109/ICAECT54875.2022.9808078","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9808078","url":null,"abstract":"Growing energy demand has exacerbated the issue of energy security and causes us to necessitate the utilization of renewable resources. The best alternative for promoting electricity generation in Bangladesh with renewable energy is solar photovoltaic technology and grid-connected solar photovoltaic (PV) systems are increasingly being popular considering solar potential and the recent cost of PV modules. This study proposes a grid-connected system using solar PV with a net metering strategy using Hybrid Optimization of Multiple Electric Renewables model. Outcomes reveal combining 420 kW PV with a 405-kW converter and connecting to the utility grid is the least cost and ecologically healthy configuration of the system. Electricity generation cost is estimated to be 0.0725 dollars per kilowatt-hour with a payback period of 6.4 years based on the system’s 20-year lifespan. Also, compared to the existing grid and the electricity generation of diesel, the optimized system with a renewable fraction of 31.10%, provides a reduction in carbon dioxide emissions respectively of 191 tons and 1,028 tons each year.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114350496","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}
Anusha Chintam, G. R. Rajendra Kumar, D. Chandramouli, J. Anitha Rani, M.A Praveen
{"title":"Accurate stock prices prediction on Grouped Time Series Data using Recurrent Neural Network Variants","authors":"Anusha Chintam, G. R. Rajendra Kumar, D. Chandramouli, J. Anitha Rani, M.A Praveen","doi":"10.1109/ICAECT54875.2022.9807842","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807842","url":null,"abstract":"Stocks are an alluring venture choice since they can create enormous benefits contrasted with different organizations. The development of stock cost designs on the financial exchange is exceptionally unique; consequently it requires precise information demonstrating to gauge stock costs with a low mistake rate. Estimating models utilizing Deep Learning are accepted to have the option to precisely foresee stock cost developments utilizing time-series information, particularly the Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) calculations. Be that as it may, a few past execution concentrates on have not had the option to acquire persuading precision outcomes. This work given the execution of the estimating technique by arranging the development of time-sequence information on organization stock costs into three gatherings utilizing GRU and LSTM. The precision of the fabricated model is assessed utilizing misfortune elements of Rooted Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). The outcomes showed that the presentation assessment of the two models are precisely GRU is generally better than LSTM. The most noteworthy approval of GRU was 98.93% of RMSE and 97.78% of MAPE, while the LSTM approval was 94.23% of RMSE and 96.61% of MAPE.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114678754","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}
{"title":"Design and Implementation of a novel Z source Multilevel inverter for Photovoltaic Applications","authors":"T. Rampradesh, B. Elangovan, G. Anbumani","doi":"10.1109/ICAECT54875.2022.9807887","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807887","url":null,"abstract":"Photovoltaics is an emerging technology across the globe to scatter the power crisis. Unlike before many countries have come forward to erect huge capacities of solar power plants. Therefore the small challenges related to the efficient operation of PV systems are to be addressed. This paper proposes an inverter which can operate in conditions of intermittence and generate power with the available sunlight. The concept of the inverter is based on, clubbing the properties of a Z source inverter and multilevel inverter. The proposed inverter has a Z source network in the front end and multilevel inverter in the load side. 10 levels of voltage is obtained which can generate a near sinusoidal output waveform. A unique Pulse Width Modulation technique was adopted to control the switches of the inverter which can be interfaced with the Perturb and Observe MPPT algorithm. The system performance was assessed using simulation. The output characteristics show that the system is well suited for PV applications and the proposed inverter can operate with a very high voltage gain and less THD value.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131924698","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}
{"title":"T-Type Multilevel Inverter based Performance Improvement of Induction Motor","authors":"Ismail M. Abbas, R. Hassan","doi":"10.1109/ICAECT54875.2022.9807855","DOIUrl":"https://doi.org/10.1109/ICAECT54875.2022.9807855","url":null,"abstract":"In this paper the performance of the induction motor (IM) using direct torque control (DTC) strategy has been examined. The traditional configuration of this strategy was compared with the modified structure based on three level T-type inverter (TLTI). The performance comparison process aims to inspect the effect of increasing the number of voltage levels on the behavior of this control system. Moreover, the other objective in this work is to employ a multilevel inverter structure that possesses a reduced component count. Software implementation of the DTC algorithm was obtained using MATLAB/Simulink program. The basic structure of the DTC is utilized for performance verification of the induction motor based on conventional inverter. When the DTC algorithm employs T-type inverter, a slight modification was needed in the algorithm structure in order to make the most of the advantages of the three level inverter. The modification included an increase in the levels of the comparators of the flux and torque, as well as increasing the number of sectors. The performance comparison was focused on the evaluation of the flux and torque ripples as well as the stator current quality points of view. The results of the simulation results showed a noticeable improvement of the IM behavior when using the TLTI. A significant reduction of the ripples and enhancing the stator current quality have been achieved.","PeriodicalId":346658,"journal":{"name":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132129860","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}