2023 4th International Conference on Signal Processing and Communication (ICSPC)最新文献_第2页

Electric Vehicle Motor Controller Design using ATmega64M1 基于ATmega64M1的电动汽车电机控制器设计

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125647

Anand Sutar, Swati Mahamuni, S. Bagwan, Sagar Jamadar, Yogesh Patil, Priyal Thakur

引用次数: 0

Ensemble Learning for the Survivability Prediction of Breast Cancer Patients Using METABRIC and SEER Datasets 使用METABRIC和SEER数据集进行乳腺癌患者生存能力预测的集成学习

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125945

E. J. Sweetlin, S. Saudia

{"title":"Ensemble Learning for the Survivability Prediction of Breast Cancer Patients Using METABRIC and SEER Datasets","authors":"E. J. Sweetlin, S. Saudia","doi":"10.1109/ICSPC57692.2023.10125945","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125945","url":null,"abstract":"Breast cancer is the most life-threatening disease among women worldwide. Nowadays, clinical and genomic data in breast cancer datasets are analyzed to identify the incidence and impact of the disease. This paper proposes an analysis on the clinical breast cancer datasets, METABRIC and SEER for the prediction of survivability of breast cancer patients through ensemble classifiers. It attempts to identify informative independent features for those classifiers using filter methods, Mutual Information and Chi-Square and wrapper methods, Sequential Forward Selection, Sequential Backward Selection and Recursive Feature Elimination in the feature selection sequence. An analysis on the performance of ensemble techniques namely, bagging, boosting and stacking shows that the ensemble techniques produce higher accuracy when compared to the accuracies produced by the base classifiers. Also, the stacking ensemble model produces higher accuracies of 99.2% and 99.8% than other ensemble techniques on METABRIC and SEER datasets respectively. The SBS wrapper method aids higher accuracy to all classifiers than SFS and RFE.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128302952","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

Modelling and Analysis of Mixed Mode EM Emission in EV for Electro-Magnetic Compatibility 电动汽车电磁兼容混合模式电磁发射建模与分析

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125723

P. Arokia Mary Caroline, C. Vasanthanayaki

{"title":"Modelling and Analysis of Mixed Mode EM Emission in EV for Electro-Magnetic Compatibility","authors":"P. Arokia Mary Caroline, C. Vasanthanayaki","doi":"10.1109/ICSPC57692.2023.10125723","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125723","url":null,"abstract":"The emergence of electric vehicles (EVs) has a great impact on energy utilization and controlling pollution in the environment. The EVs are significantly different from conventional vehicles in terms of a control units such as the use of an electric drive system (EDS) instead of the internal combustion engine (ICE) and other aspects that affect the vehicle’s performance. One such unique feature of EVs is the use of power line communication (PLC), where main lines from the battery to other devices is used to exchange information. The high switching characteristics of the EDS as well as the implementation of PLC, have a drawback of generating ElectroMagnetic Interference (EMI). The Common-Mode (CM) and Differential-Mode (DM) currents of the EDS and PLC contribute to the EMI, and separate analysis of both CM and DM is essential, in spite of the Mixed-Mode (MM) analysis, to get the accurate picture of emission levels and for improving the design and performance. Hence, this work aims to model the EM emission of EDS and PLC in the EV using suitable simulation software. For the implementation of the same MATLAB-SIMULINK tool is used. In this work, both CM and DM conducted emission spectrum and general MM spectrum were analyzed. The current through EV systems are the main source of EM emission at high frequency and analyzed results indicate the same. The future scope of this work involves, applying suppression techniques to suffice the Electro-Magnetic Compatibility (EMC).","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134188674","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

A Vision-Based Approach for the Diagnosis of Digital Asthenopia 一种基于视觉的诊断数字性视弱视的方法

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125593

Y. Nancy Jane, Krishna Padmanabhan, S. Karthika, K. Blessing Christiana

{"title":"A Vision-Based Approach for the Diagnosis of Digital Asthenopia","authors":"Y. Nancy Jane, Krishna Padmanabhan, S. Karthika, K. Blessing Christiana","doi":"10.1109/ICSPC57692.2023.10125593","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125593","url":null,"abstract":"With the advent of the pandemic, a sea change has been observed with working professionals having seen their work transition online where dependence on electronic devices have increased with online meetings. The same is true for students as well as younger children who cannot go outside to occupy themselves. Prolonged exposure leaves them susceptible to Computer Vision Syndrome or Digital Eye Strain also termed as Digital Asthenopia. The proposed system recognizes the need to combat digital eye strain and diagnose it using a Vision Based approach by receiving footage of an individual while they are occupied with the use of an electronic device facing a screen and notify them. This is done by the detection of the parameters of blinking rate, redness of the eyes and dryness of the eyes. The classification model that is developed analyzes footage of the human eye and identifies whether or not the individual is suffering from digital eye strain. It is done through a YOLO based Object Detection model where the model was trained over a self-built dataset of stills of the human eye with samples marked as healthy or red eyes and healthy or dry eyes. The calculation of blinking rate and ascertainment of whether it is above a typical rate or not is done by the calculation of Eye Aspect Ratio (EAR) using a dlib model to identify facial landmarks. The dataset collected is initially preprocessed by annotation following which augmentation of the images was done with horizontal and vertical splits as well as 90-degree rotations. The results obtained were the successful identification of blinking rate as well as the accuracy and success of the object detection models that were developed represented by a Mean Average Precision (MAP) of 0.85 and 0.75 for redness and dryness respectively.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133108008","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

Performance Improvement of Solar Cell using Modified Boost Converter 改进升压变换器对太阳能电池性能的改善

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125734

S. Visalakshi, R. Raj, M. Aswin, R. Santhosh, A. Yuwaraj

引用次数: 0

Design of an Autonomous Mower with Height Adjustable Cutting Motor 具有高度可调切割电机的自动割草机的设计

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125879

S. Diwakaran, M. D. V. Kumar, P. S. Mohanreddy, Ch. Rishika, P. Sreenivasulu, M. Sivasubramanian

{"title":"Design of an Autonomous Mower with Height Adjustable Cutting Motor","authors":"S. Diwakaran, M. D. V. Kumar, P. S. Mohanreddy, Ch. Rishika, P. Sreenivasulu, M. Sivasubramanian","doi":"10.1109/ICSPC57692.2023.10125879","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125879","url":null,"abstract":"This paper presents the design of an autonomous mower, by automating lawnmowers we can be able to minimize the manual work. Generally, to cut the grass in lawn areas humans use wired grass-cutting machines, and it requires human power to move across the grass area, humans need to walk behind the mower. Cutting the grass manually will consume more time and causes health issues in overcoming those issues autonomous mowers will play a huge role. The newest proof of thousands of reservations for associate autonomous, all- electric powerhouse designed for the industrial landscaping sector, also as key talent acquisitions by the corporate that creates the lawn mower from the technical school giants SpaceX Star link and Magic Leap. The planned project is to style and develop of autonomous lawn mower. offered for lawns of all shapes and sizes, golem field mowers area units are comparatively simple to line up and program, and, because rechargeable battery packs power them, they are super quiet. It’s available for lawns of all shapes and sizes. The autonomous mower which we are designing can mow the grass within the area with minimal human interaction by using the line-following method, the mower can also detect an obstacle and stops collision with that obstacle, and it consists of a rechargeable battery. The mower is lightweight and easily carriable with an extra feature of size adjustment of the grass-cutting motor with minimum cost.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114790905","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

Effective Detection of Copy Move Forgery Using Surf 基于Surf的副本移动伪造有效检测

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10126042

R. A. Rakhi, Aldin Justin Sundararaj, R. Joy, J. Winston

引用次数: 0

Design and Analysis of Frequency Synthesizer for Implantable Cardioverter Defibrillator (ICD) in 90 NM Technology 基于90nm技术的植入式心律转复除颤器频率合成器的设计与分析

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125955

Shaik Babafakruddin, G. Manoj, J. Samson Immanuel, D. S. Shylu Sam, R. Durai Balaji, V. Shriashwinraja E G

引用次数: 0

Flight Delay Prediction Using Different Regression Algorithms in Machine Learning 机器学习中不同回归算法的航班延误预测

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125675

A. Evangeline, R. Joy, A. Rajan

{"title":"Flight Delay Prediction Using Different Regression Algorithms in Machine Learning","authors":"A. Evangeline, R. Joy, A. Rajan","doi":"10.1109/ICSPC57692.2023.10125675","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125675","url":null,"abstract":"The two forms of regression algorithms are investigated and compared in this Article Such as LASSO and RIDGE regression. For scheduled airlines to improve customer satisfaction and success, accurate forecasting of delay is essential. There is no way to stop a flight from being delayed, yet they significantly affect the profits and losses of carriers. This research investigates a larger spectrum of potential flight delay difficulties and compares two machine learning algorithms in defined extended flight delay time series forecasting. A dataset for the suggested technique is created by gathering, decoding, and linking automatic dependent surveillance-broadcast (ADS-B) signals with additional data including weather, flight schedules, and airport information. A regression approach is used in conjunction with a number of forecasting tasks as part of the defined prediction challenges. The accuracy of the suggested prediction model was examined and compared to current prediction approaches. The results of LASSO and RIDGE regression with the mean absolute errorMAE (0.2 and 0.1), mean squared error-MSE (0.1 and 0.04), root mean square error-RMSE (0.3 and 0.2) and Accuracy (99.7% and 99.8%) respectively.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122379167","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

Optimization of Fine Tuned Deep Learning Model for Multiclass Classification of Chest X-Rays 胸部x射线多类分类的微调深度学习模型优化

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10126060

V. G. Sreena, D. N. Ponraj

引用次数: 0