2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)最新文献

{"title":"SDR – Self Driving Car Implemented using Reinforcement Learning & Behavioural Cloning","authors":"Sanjay S Tippannavar, Yashwanth S D, Puneeth K M","doi":"10.1109/ICRTEC56977.2023.10111893","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111893","url":null,"abstract":"The answer to strengthening the mobility intelligence connected with utilising is to use autonomous, self-driving cars. This project offers a practical method for putting a self-driving car into practise. Neural networks, computer vision, and artificial intelligence are the main foundations of the proposed work. We are using a variety of elements in our task, including mapping, monitoring, and nearby planning. We are able to effectively design a car that can exhibit accurate lane changes, parking, and U-activates on its own. The unique improvements we use include barriers and minimise detection strategies, street car trackers, and assessing each site traffic circumstances. This will result in a reliable, neutral self-driven car. It will successfully display appropriate lane changes, parking allocation, and automatic U-turns. The continual development of complicated systems, like self-driving automobiles, is made easier through simulation platforms (SDCs). The majority of the automatically created tests, however, do not significantly assist to developing trust in the quality and dependability of the SDC, according to prior findings on evaluating SDCs using simulations. That makes the tests “uninformative,” and conducting them often entails squandering valuable computer resources. By taking pictures of the environment, these vision transformers may be used in self-driving automobiles to determine the ideal steering angle. When compared to CNN models, the vision transformers perform better since they can use the attention mechanism to concentrate on the most crucial elements of the picture, such as road lanes, other cars, traffic signs, etc.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115107139","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":"Smart Transformer - An Analysis of Recent Technologies for Monitoring Transformer","authors":"Sanjay S Tippannavar, Vijay Mishra, Yashwanth S D, Rishitha R Gowda, Sathvik H R, Ajay M","doi":"10.1109/ICRTEC56977.2023.10111875","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111875","url":null,"abstract":"A crucial part of the electrical power system is played by the transformer. Continuous monitoring has become an integral aspect of its operation since it deals with high voltage and current, which may significantly damage the device's performance and physical state. The goal of this review article is to provide an overview of IoT (Internet of Things)-based electrical parameter monitoring and control technologies. The necessity for various monitoring systems that use various electrical, mechanical, optical, chemical, and acoustic sensors to monitor the critical properties of the power transformer is due to the significance of the continuous service of power transformers and their role in the reliability of the power delivery. For the power/energy management department, remote equipment monitoring and control, which is often carried out manually or with the help of a costly PLC and SCADA system, is a crucial problem. Real data from the environment or objects is gathered using a variety of sensors. People may establish a machine-to-machine link with the aid of the IoT idea. Temperature, oil level, and vibration are significant indications used to assess the condition of the transformer. The stability, precision, and efficiency of the transformer may all be improved while using less labour. With the advent of the internet and the computational age, it is extremely desired to have an intelligent monitoring and trustworthy controlling system over the complete sub-station equipment. This may be accomplished by using the Internet of Things (IoT) technology. The Internet of Things (IoT) is a network of physical objects that are integrated with electronics, software, sensors, actuators, and network connection that have the capacity to recognize, collect, and share data. Each strategy is then briefly explained along with the appropriate reading recommendations. A quick guide is therefore provided for professionals looking into the sensors used for power transformer monitoring.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118872","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":"Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App","authors":"Akula Shravya Sri, Bobbili Varshith Reddy, Kanuri Balakrishna, Vollala Akshitha, Sreedhar Kollem, C. Prasad","doi":"10.1109/ICRTEC56977.2023.10111887","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111887","url":null,"abstract":"This article presents Multi-modal MRI scans used to classify brain tumors according to their size and imaging appearance. Object detection has been significantly improved by utilizing convolutional neural networks and deep learning approaches, resulting in superior performance. Our solution to tackle uncertainty involves a new deep learning method that incorporates pre-processing techniques such as data augmentation, as well as a customized convolutional neural network. The proposed method aims to achieve three objectives. (1) To address overfitting concerns, pre-processing techniques such as data augmentation are employed. (2) A customized deep learning method is used, which includes a convolutional neural network, to classify brain tumors. (3) A Web APP is utilized to provide information related to the tumor. The suggested procedure's performance is evaluated using sensitivity, specificity, and accuracy, and it outperforms traditional deep learning methods. Additionally, the entire process can be completed on the Python platform.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134052507","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":"SCIG Based Wind Energy Conversion System Fed DC Micro Grid Using DTC","authors":"H. T, Chaitanya. G, S. D","doi":"10.1109/ICRTEC56977.2023.10111866","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111866","url":null,"abstract":"In recent years, the significance of the renewable energy sources is increased rapidly. Between, wind energy is the leading renewable energy source due to its advantages such as cost effective and sustainable. In view of this, Squirrel cage induction generator (SCIG) acts as an important role in the wind energy system. The wind energy system (WECS) based SCIG is fed to DC micro grid using multilevel converters on both sides i.e., machine side and load side. The power quality issues like voltage stability, efficiency, grid interference and the influence of a wind turbine are to be analysed on the DC micro grid. Therefore, direct torque control (DTC) implemented three level diode clamped converter is connected in this proposed system, so that better performance in terms of voltage ripples, current ripples, active power, reactive power and THD analysis for both machine side and grid side is achieved. The MATLAB/Simulink environment is used to validated the novel control strategy.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131891517","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 Comprehensive Review and Comparative analysis of 5G and 6G based MIMO Channel Estimation Techniques","authors":"Susandhika M, S. A.","doi":"10.1109/ICRTEC56977.2023.10111907","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111907","url":null,"abstract":"A wireless network's overall performance is greatly impacted by the accuracy of its channel estimate. Deep learning has also shown to be a significant advancement in improving communication reliability and lowering processing complexity for 5G and beyond networks. Massive multiple-input multiple-output (MIMO) and mmWave communications are disruptive technologies that have been implemented into fifth-generation (5G) and subsequent wireless communication standards, such as 6G, in order to handle the increasing wireless data traffic and maintain connections. MIMO systems use space multiplex by using a variety of antennas to increase efficiency at a specifically used bandwidth. MIMO allows for numerous sources and sinks to share a single communication channel. The characteristics of these networks are their spectral variety and their ability to multiplex spatially. This study still provided an overview of MIMO, examined MIMO channel estimation methods based on the 5G and 6G wireless communication standards, and analysed MIMO channel estimation methods for the coexistence of these two wireless network generations.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115389466","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":"Wavelet-based method for enhancing the visibility of hazy images using Color Attenuation Prior","authors":"N. M, N. Kaulgud","doi":"10.1109/ICRTEC56977.2023.10111879","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111879","url":null,"abstract":"Image processing may be used in the majority of computer vision applications, including those for remote sensing, aerial photography, and vehicle navigation. Images taken outside in bad weather could suffer from degradation. Therefore, it is essential for these applications to enhance the degraded images before processing them. The contrast and saturation that are lost due to scattering must be restored to improve the hazy image. To address this issue, a novel model is built for enhancing a single hazy image efficiently and effectively. Using multilevel wavelet transforms, the image is first decomposed into two frequency domains - the low-frequency domain and the high-frequency do-main. Later, it is dehazed only in the low-frequency domain using the Color Attenuation Prior(CAP). Soft-thresholding operation is carried out in the high-frequency domain to remove any residual noise. Additionally, texture detail in this domain can be improved by using the estimated transmission obtained during the dehazing of the low-frequency component of the image by CAP. Extensive tests were performed on images from the RESIDE and HazeRD datasets to assess the efficiency of our method. Results of tests show that our approach dehazes faster and enriches the hazy image more effectively than other existing dehazing techniques.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114734342","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":"eCF Paper Id","authors":"","doi":"10.1109/icrtec56977.2023.10111902","DOIUrl":"https://doi.org/10.1109/icrtec56977.2023.10111902","url":null,"abstract":"","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979338","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":"An Analysis on the Techniques for Water Quality Prediction from Remotely Sensed data","authors":"Alakesh Sarma, J. O","doi":"10.1109/ICRTEC56977.2023.10111933","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111933","url":null,"abstract":"Water Quality plays an important role in every aspect of human life as it is a major source of metabolism in every living organism. The prediction of Water Quality is very important considering the changes in the ecological and topological changes in the environment. This paper presents a systematic review of Prediction of water Quality by Remote Sensing approaches along with retrieval measures of different parameters to make the concentration of water at its purest form that is fit for consumption. The data sources are classified as Multispectral and Hyperspectral which can be achieved through satellite and airborne imagery and upon analysis and manipulation of this data, the features can be extracted and different parameters can be retrieved from water bodies. A study of this review can help in improvement in analysis by providing an insight for different approaches in Artificial Intelligence and Machine Learning Techniques for Water Quality Prediction.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123673891","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":"Wind Turbine Integrated Generator Rectifier System with Fuzzy Logic Controller based on MPPT","authors":"Naveen Kumar Peelam, K. R, N. K, Swathi. N","doi":"10.1109/ICRTEC56977.2023.10111867","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111867","url":null,"abstract":"Offshore wind turbines have high popularity because it generates more energy compared to onshore and it also very useful to maintain better aquatic and weather conditions. Having an aspiring Levelized cost of energy is big task because offshore turbines require better power conversion systems which is acquired by the use of combined system i.e., combination of both permanent magnet synchronous generator (PMSG) and rectifier system. The rectifier system consists of one active rectifier and several passive rectifiers. Because of passive rectifiers which are uncontrollable, it is challenging to get required maximum power. In this paper, a new fuzzy logic controller (FLC) based MPPT architecture is proposed. The proposed method acquires maximum power (MPPT) by the analysis of d-axis current which is generated by FLC. The results are evaluated by MATLAB/Simulink Source.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128595831","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":"Performance Analysis for LLC Resonant Converter in Electric Vehicle Applications","authors":"Sathya K, Guruswamy K P","doi":"10.1109/ICRTEC56977.2023.10111915","DOIUrl":"https://doi.org/10.1109/ICRTEC56977.2023.10111915","url":null,"abstract":"This paper explains performance analysis of LLC resonant converter for electric vehicle applications. Due to their exceptional efficiency and minimal switching losses, LLC resonant converters are often used. In this study, small signal modelling methods based on extended describing function (EDF) are used to investigate the behaviour of LLC resonant converters. This paper also examines the effect of variable frequency control in LLC resonant converter on its input impedance. In addition, MATLAB Simulink simulation platform is used to develop and apply modeling approaches to validate. Control to output voltage of LLC converters are derived in this paper to evaluate model's accuracy.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"60 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129322028","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}