2022 International Conference on Electronics and Renewable Systems (ICEARS)最新文献

{"title":"Automated Deep Learning based Disease Prediction Using Skin Health Records: Issues, Challenges and Future Directions","authors":"Sourav Singh, Sachin Sharma, S. Bhadula","doi":"10.1109/ICEARS53579.2022.9752422","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752422","url":null,"abstract":"Due to recent breakthroughs in Artificial Intelligence (AI) and automation in the healthcare industry, people have been able to see an increased possibility for merging deep learning with healthcare. Automated deep learning and healthcare integration have been found as a feasible technique for enhancing disease prediction accuracy, which will aid in disease prevention and control. AI-enabled skin health data could be used as a unique technique for preliminary body health prediction by matching symptoms and influenced skin photos to a pool of current disease databases. The goal of this research is to offer an automated deep learning framework for predicting illness outcomes based on changes in skin characteristics. Various issues and challenges are also investigated, with the purpose of anticipating the integration of deep learning into healthcare in future medical research.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124508185","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":"Dual Current Mirror Technique Based Energy Efficient 50mV to 1V Voltage Level Shifter","authors":"P. Aylapogu, R. V. P. Bhookya, D. Venkatachari, K. B","doi":"10.1109/ICEARS53579.2022.9752383","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752383","url":null,"abstract":"In this article, an energy efficient and low delay architecture for voltage level shifter with the help of dual current mirror approach has been discussed. Voltage shifter is competent of changing the voltage level from one value to another value. The pivotal principle of the shifter is to connect the different blocks in the circuit. Moreover voltage level shifter is preferable in System on Chip. The suggested design is to transfer 50mV to 1V level at a faster rate and significantly less usage power. It was created using the Wilson current mirror technology with less number of transistors. The suggested design is realized on 45-nm Technology using cadence tool. This circuit is having propagation latency of 0.959ns and power dissipation of 106.6nW. It is assured that the obtained simulations results are better than the existed results in terms of power and delay.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122971753","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 Simulation of Converters for HEV","authors":"Balachander K, A. A, S. M, E. G, D. S, A. S, Sambath Kumar M, Sambath Kumar S","doi":"10.1109/ICEARS53579.2022.9752337","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752337","url":null,"abstract":"The availability of petroleum capitals has dwindled, leaving more room for vehicle uses, particularly in hybrid electric vehicles (HEV). In order to achieve a better driving range and the best engine power, many DC-DC converters are employed in automotive applications. Basic converter design is critical and serves as the foundation for controllers like PI controllers, Fuzzy controllers, and so on. With the help of the PI closed loop, this study proposes a performance comparison of the CUK converter and improved converter to the present Boost converter. The results of the simulations were compared and analyzed. The Toyota Prius was chosen as the study's base model. Hopefully, this will provide a tiny boost to the electric vehicle market.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123636271","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":"DPMLT: Diabetes Prediction Using Machine Learning Techniques","authors":"Praveen Tumuluru, Lakshmi Burra, Katuku Krishna Sushanth, Shaik Nagoor Vali, Ch.M.H. Saibaba, P. Yellamma","doi":"10.1109/ICEARS53579.2022.9751944","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751944","url":null,"abstract":"One of the most frequent chronic diseases is diabetes, which can afflict anyone, regardless of age. When the glucose or sugar level is too high, several diseases attack. Diabetes causes a wide range of issues, adding to a high percentage of diabetic patient re-admission. The purpose of this study is to diagnose diabetes using machine learning techniques. Disease prediction decision-making relies heavily on learning-based models. Learning-based models play an essential role in disease prediction decision-making. Decision Tree, Logistic regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest are the models that were evaluated and compared to each other.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672539","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":"Hardware design of Single axis solar tracker and MPPT charge controller using PIC18F4520","authors":"R. Santhosh, Aswin Ramachandran, A. S., R. Mahalakshmi","doi":"10.1109/ICEARS53579.2022.9752007","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752007","url":null,"abstract":"Solar energy is abundantly available in Indian subcontinent. To extract maximum power from solar panels there are effective methods and technologies that can be applied. For obtaining the maximum power, the solar panel can be rotated towards the sun rays during the day time, and another method is to apply Maximum Power Point Tracking (MPPT) techniques in DC-DC converter arrangement. This paper focuses on both of the methods to achieve MPPT. The hardware implementation, methodology, working principle and construction of the standalone single axis solar tracker using operational amplifier is discussed in detail. The hardware prototype of a MPPT charge controller based upon microcontroller PIC18F4520 to increase the efficient battery charging and discharging is also proposed in this paper. The application of the proposed method for solar tracker and for charge controller found to be effective in solar energy conversion. The system can be used for solar panel array in a solar field.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121807562","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":"Database Patterns for the Cloud and Docker Integrated Environment using Open Source Machine Learning","authors":"Siripuri Kiran, V. C. S. Rao, S. Venkatramulu, M. PhridviRaj, Sreenivas Pratapagiri, Sujatha Madugula","doi":"10.1109/ICEARS53579.2022.9751894","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751894","url":null,"abstract":"Computer vision, natural language processing, sentiment analysis, and fraud detection are just a few of the sectors, where significant area of research are Machine and predictive analysis. Machine learning can be used to train or set up software and application of H/W for mining specially and the acquisition data. In order to extract accuracy and performance among datasets utilizes unsupervised and supervised data, MLDB for high-performance data analytics for a variety of applications is presented in the work as usage patterns of an open source machine learning platform.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123845988","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":"Analysis of Inherent and Foreign Factors Affecting Performance of Wireless Communication Protocols","authors":"Rushikesh S Tanksale, Ayesha S. Shaikh, Himali P Nemade, N. Sakhare","doi":"10.1109/ICEARS53579.2022.9751885","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751885","url":null,"abstract":"In this paper, we are contributing physical testing of parameters and how they affect the real-time performance of wireless protocols which are Wi-Fi, Bluetooth, and LTE. All the testing scenarios considered for performance analysis are from the real world and are considered as being used by end-users, not from much technical background. All of these protocols are used majorly in Internet of Things, or a new paradigm called Roof Computing. Introducing all of these 3 protocols has a different type of implementation like Wi-Fi being used as a common point to share internet over a certain area. LTE being and faster and mobile-based service to access the internet on the go. While Bluetooth replacing its use case from data transfer from one device to another device from the early 2000s to 2010 replacing IR data transfer, after the introduction of BLE its use case shifted from data transfer to Audio peripherals, Communication between gaming systems and controller which can be Mouse, Keyboard, and Controllers which makes it perfect for such scenarios as it consumes very much less energy and having near-zero latency. a) for a Wi-Fi-based system small changes in manufacturing can lead to longevity of product along with an increase in Quality of Service just like adding heat sinks to budget level routers or providing a PSU which have higher rated power delivery than required. b) For LTE-based devices which are being mostly used in mobile devices manufacturers do certain malpractices so that they can sell the upper model than the user intended like locking carrier aggregation on chipset even though they support it. c) Bluetooth devices being used more and more in past years because the 3.5 mm headphone jack is being removed by certain mobile smartphone manufacturers. Devices available at entry-level or budget range don’t provide certain Quality of Service factors like zero latency for audio channels and not utilizing all of the resources to sell higher-end products. The paper will cover points related.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124213131","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 an Intelligent Monitoring System for Um Interface Based on Software Radio","authors":"H. Zhenhua, Hong Doudou","doi":"10.1109/ICEARS53579.2022.9752155","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752155","url":null,"abstract":"Aiming at the shortcomings of cumbersome code writing and poor flexibility in traditional system design methods, this paper designs a wireless signal intelligent detection system based on software radio. The modular system design method is adopted to reduce the complexity of the design. Through the test on the high-speed comprehensive detection train, it is verified that the system can monitor the interaction process between the on-board equipment and the GSM-R network base station in real time, and realize the closed-loop monitoring of the vehicle-to-ground data transmission process. The receiving part and analysis part of the system can be connected through the network, and the flexibility of system deployment is increased by 7.3%.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126334462","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":"A Machine Learning Entrenched Brain Tumor Recognition Framework","authors":"S. S, Sagaya Aurelia","doi":"10.1109/ICEARS53579.2022.9752195","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752195","url":null,"abstract":"Brain tumor detection plays a significant role in medical image processing. Treatment for patients with brain tumors is primarily dependent on faster detection of these tumors. More rapid detection of brain tumors will help in the improvement of the patient's life chances. Diagnosis of brain tumors by doctors most commonly follow manual segmentation, which is difficult and time-consuming; instead, automatic detection is necessary. Nowadays, automatic detection plays a vital role and can be a solution to detecting brain tumors with better performance. Brain tumor detection using the MRI images method is an essential diagnostic tool for predicting brain tumors; the implementation for these kinds of detection can be done using various machine learning algorithms and methodologies. It helps the doctors understand the actual progression of the evolving tumor, allowing the doctors to decide how the treatment has to be given for that particular patient and measures required to follow up. Therefore, the intention is to create a framework to detect brain tumors in MRI images using a machine learning algorithm and analyze the performance of the brain tumor detection using sensitivity and specificity, which helps us to analyze how well the algorithm has performed in detecting the brain tumors accurately and develop a mobile application framework in which the MRI images can be directly scanned to know whether the cancer is present in a scanned MRI image or not.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128003337","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":"Analysis & Simulation of Open loop and Closed loop Control of a Flyback converter","authors":"Ms. Kruthi Jayaram","doi":"10.1109/ICEARS53579.2022.9752398","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752398","url":null,"abstract":"Power Electronic Converters plays a vital role in efficient conversion and control of electrical power. It is predominantly used in low power applications. One among the power electronic converters are DC-DC Converter, which use power electronic devices to transform a DC voltage from one level to a altered voltage level as per the requirement. In this paper, analysis and simulation of open, closed loop control of a flyback converter is implemented. The main aim of the work is to enumerate on the operation of flyback converter which finds its usage in low power applications like television sets, SMPs for computers, cell phone and mobile device chargers etc,. This paper provides performance analysis of open loop control and closed loop control using PID controller for a flyback converter. The circuit design is simulated in MATLAB/SIMULNK with a switching frequency of 100KHz and the results are presented.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124796215","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}