2022 International Conference on Electronics and Renewable Systems (ICEARS)最新文献_第7页

Research on Heat Map Modeling of Guiding Big Data Research Hotspots Based on CiteSpace 基于CiteSpace的大数据研究热点引导热图建模研究

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752328

Guanqi Tao

引用次数: 0

The Solar Tracker Using Micro-controller 采用微控制器的太阳能跟踪器

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9751796

Mehrunnisa, J. Priyanka, B. S. Chandra

{"title":"The Solar Tracker Using Micro-controller","authors":"Mehrunnisa, J. Priyanka, B. S. Chandra","doi":"10.1109/ICEARS53579.2022.9751796","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751796","url":null,"abstract":"During the next half-century, generating energy for reduction of petroleum products is an endless task. When compared to other sustainable resources, Idea of converting sun-light oriented energy into energy using solar boards is on the leading edge. Regardless, the regular substitution in the related mentality of the sunlight based toward the earth reduces the watts delivered through the sun powered charger. As per the present circumstance the sunlight based following device is the top -notch way to build the effectiveness of a solar board. The sun board which screens the sun incorporates two LDRs, a sun-light based charger and a servo engine and an ATmega328 Micro regulator. Gentle principally put together resistors are mounted with respect to the edges of the sun powered charger. While delicate falls on them, light-based wounds cause no obstacle. A servo engine connected to the board rotates the board in the direction of the light. Boards are coordinated at the sorted way so delicate within the LDRs interestingly, with boards are pivoted near the LDR which has a prevalent limit with regards to bring down check conversely, with the backwards. The Servo engine turns the board at an uplifting perspective. At the point when slight pressure drops to the right side of the higher LDR, the board focuses on the right side to some extent and accepts pressure on the left side of 50% of the higher LDR, the board developments slower to the left. The light moves toward the front over the time, and the depth of gentle on the two boards is indistinguishable. In such circumstances, Board may or may not be recoverable, and there may or may not be a pivot.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"54 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113959813","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

Generating QA from Rule-based Algorithms 从基于规则的算法生成QA

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9751723

Pratiksha Rajesh Rao, Tanay Navneet Jhawar, Yash Avinash Kachave, V. Hirlekar

{"title":"Generating QA from Rule-based Algorithms","authors":"Pratiksha Rajesh Rao, Tanay Navneet Jhawar, Yash Avinash Kachave, V. Hirlekar","doi":"10.1109/ICEARS53579.2022.9751723","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751723","url":null,"abstract":"In the education industry answering questions is used as a common parameter to judge one’s understanding of a topic. Taking quizzes on a regular basis helps an individual feel confident and it also helps the professor assess the student’s understanding on a particular topic. Generating question and answer pairs is a time-consuming task. To solve this problem, this paper discusses methods to generate automatic Natural Language Processing models which creates diverse types of question-answer pairs. The model takes an input in the form of text in the English language and produces output as Complex Questions, Multiple Choice Questions with relevant distractors, and Fill in the Blanks type of questions. To generate Complex Questions a Rule-Based Algorithm is used. To generate Multiple Choice Questions and Fill in the Blanks type questions, a Vector Algorithm from the GLoVe Model is used along with Rule-Based Algorithms. This paper also includes a detailed explanation of the analysis of the pattern and rules that are observed in the question-making process. SQuAD dataset is used for this analysis and used the same dataset to train the model. The implementation process of this model focused on generating diverse questions with higher syntactic correctness than the existing models. The approach mentioned in this paper can be used in the fields of education, entertainment, generation of quizzes, virtual learning assistance and to get a deeper insight into any topic.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122897125","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: 2

Smart Home Automation Implemented using LabVIEW and Arduino 利用LabVIEW和Arduino实现智能家居自动化

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752265

Sanjay S Tippannavar, Shivaprasad N, P. S

引用次数: 8

Monitoring Of Industrial Electrical Equipments 工业电气设备监控

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9751843

A. Amudha, M. Siva Ramkumar, K. Balachander, G. Emayavaramban, G. N, S. S, Suresh Mt

{"title":"Monitoring Of Industrial Electrical Equipments","authors":"A. Amudha, M. Siva Ramkumar, K. Balachander, G. Emayavaramban, G. N, S. S, Suresh Mt","doi":"10.1109/ICEARS53579.2022.9751843","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751843","url":null,"abstract":"There is a considerable chance of fire breakouts in industries such as petroleum, chemical, oils, & gas, resulting in massive devastation, destruction of livelihood, and the great majority of all, the loss of life. When an event happens, it's essential to have a mechanism in place that can alert authorized personnel and ensure that the premises are safe. In order to detect fires (via smoke as well as temperature sensors) and LPG leaks, an IOT-based industrial problem detection project was created. Data is sent to a remote location through the Internet of Things (IoT). 'Things' can communicate with sensors, circuits, programs, and accessibility through the Internet of Things (IOT). Human interaction is unnecessary for these technologies.(p)(p)Monitoring voltage and current consumption by industry is also a feature of this system. Use this tool to locate the hottest area, which may be assessed by determining the most hazardous area for people or production. A current sensor measures the overall amount of current consumed by the industrial sector. ' If the power exceeds the threshold and the load is tripped, the IOT cloud app will notify the appropriate person.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133223307","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

Incorporating ESG in Decision Making for Responsible and Sustainable Investments using Machine Learning 利用机器学习将ESG纳入负责任和可持续投资的决策中

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752343

Ellia Twinamatsiko, Dinesh Kumar

{"title":"Incorporating ESG in Decision Making for Responsible and Sustainable Investments using Machine Learning","authors":"Ellia Twinamatsiko, Dinesh Kumar","doi":"10.1109/ICEARS53579.2022.9752343","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752343","url":null,"abstract":"Over the years, the number of firms measuring and reporting environmental, social, and governance data has seen a massive shift due to the overwhelming demand and pressure from different stakeholders. The introduction of various international regulatory bodies like the Corporate Sustainability Reporting Directive (CSRD), has also been intentional in encouraging companies to disclose publicly documents like annual reports, integrated reports in regards to topics like social, environmental, employee affairs and human rights. When it comes to investing, ESG issues take into account a firm’s operational influence on the native environment. Customers, policy makers, investors, and regulators are exerting huge amount of pressure on Companies to carry out Environmental, Social, and Governance (\"ESG\") reporting also known as non-financial reporting. Sustainability reporting has previously exhibited numerous advantages to businesses as accurate data collection and reporting are essential for managing the company’s sustainability performance as well as improving financial decision making. It is vital for a company’s long-term performance to actively disclose and communicate its non-financial practices and approaches. Therefore, in order to answer questions like; “Is it vital for developing market firms to disclose non-financial information, such as that relating to environmental, social, and governance (ESG)?”, this paper will attempt to provide a deeper insight into ESG disclosure and the impact it has on Firm Performance using Machine Learning techniques (Regression) and performance Ratios (Return On Assets & Return On Equity).","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133451755","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: 3

Implementation of 5G Network Architecture with Interoperability in Heterogeneous Wireless Environment using Radio Spectrum 利用无线电频谱实现异构无线环境下具有互操作性的5G网络架构

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752267

P. William, Siddhartha Choubey, M. Ramkumar, Apurv Verma, K. Vengatesan, Abha Choubey

{"title":"Implementation of 5G Network Architecture with Interoperability in Heterogeneous Wireless Environment using Radio Spectrum","authors":"P. William, Siddhartha Choubey, M. Ramkumar, Apurv Verma, K. Vengatesan, Abha Choubey","doi":"10.1109/ICEARS53579.2022.9752267","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752267","url":null,"abstract":"In this study, we suggest a revolutionary network architectural design strategy for future 5G mobile networks, which we believe would be beneficial. The proposed design is based on a mobile environment that is centered on the user and incorporates a range of wireless and mobile technologies to achieve this. Because it is impossible to make changes to any wireless technology, new or old, in a heterogeneous wireless environment, each solution for next-generation mobile and wireless networks should be implemented in the service stratum, whereas radio access technologies should be implemented in the transport stratum in the Next-Generation Networks approach. The user terminal in the proposed design has the option of altering the Radio Access Technology - RAT based on the parameters that have been supplied. This paper introduces the Policy-Router, which is a node in the core network that constructs IP tunnels to the mobile terminal across many available RATs to the terminal, while enabling the mobile terminal to change RATs in an unobtrusive manner. After learning about the RAT via the mobile terminal's performance measurements, the mobile terminal selects the RAT by executing a multi-criteria decision-making process using the specified user agent. In this paper, we describe the QoSPRO methodology, which allows control information to be shared between the mobile terminal and the Policy Router throughout the performance evaluation procedure.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133755655","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: 11

Object Detection using TensorFlow 使用TensorFlow进行对象检测

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752263

yellamma pachipala, M. Harika, B. Aakanksha, M. Kavitha

{"title":"Object Detection using TensorFlow","authors":"yellamma pachipala, M. Harika, B. Aakanksha, M. Kavitha","doi":"10.1109/ICEARS53579.2022.9752263","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752263","url":null,"abstract":"Objects in the home that are often used tend to follow specific patterns in terms of time and location. Analyzing these trends can help us keep track of our belongings and increase efficiency by reducing the amount of time wasted forgetting or looking for them. Tensor Flow, a relatively new framework from Google, was utilised to model our neural network in our project. Multiple objects in real-time video streams are detected using the Tensor Flow Object Detection API. The system then detects trends and alerts the user if an abnormality is discovered. Finding REMO—detecting relative mobility patterns in geographic lifelines is a study reported by Laube et al. A neural network model is constructed and trained with the goal of being able to accurately identify digits from handwritten photographs. For this, the Tensor Flow syntax was employed, using Keras as the front end. The trained model can take an image of a handwritten digit as input and predict the digit's class, that is, it can predict the digit or the input picture's class. Machine vision improvements, in combination with a camera and artificial intelligence programming, may now be used by PCs to recognize images.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132345427","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: 2

Quality Assessment and Grading of Milk using Sensors and Neural Networks 基于传感器和神经网络的牛奶质量评价与分级

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752269

J. Swarup Kumar, D. Indira, K. Srinivas, M. N. Satish Kumar

引用次数: 4

Brain Tumor Detection On MR Images Using Improved Support Vector Machine 基于改进支持向量机的MR图像脑肿瘤检测

2022 International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2022-03-16 DOI: 10.1109/ICEARS53579.2022.9752093

N. Bodapati, Ala Divya, N. Triveni, Narahari Indiradevi, Koppuravuri Yamini

{"title":"Brain Tumor Detection On MR Images Using Improved Support Vector Machine","authors":"N. Bodapati, Ala Divya, N. Triveni, Narahari Indiradevi, Koppuravuri Yamini","doi":"10.1109/ICEARS53579.2022.9752093","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752093","url":null,"abstract":"The brain may be the most important organ in the human body. Memory, vision, hearing, and other senses are all under its control, as are personality traits and the ability to judge one's own strengths and weaknesses. There are many different types of tumors, some of which can lead to cancerous growths in the brain. Tumors are most commonly caused by the stalled growth of brain cells. With the aid of automatic tumor detection algorithms using Magnetic Resonance Imaging, the most deadly brain tumor can be diagnosed quickly and accurately. Radiation imaging provides detailed information on human tissue, which aids in tumor diagnosis. The clinical device's ability to determine a tumor's location relies heavily on accurate segmentation of the Magnetic Resonance Image picture. An Magnetic Resonance Imaging scan is used to examine the patient's medical status. The goal of this work is to devise the best method for detecting tumors on brain Magnetic Resonance Imaging scans and, if that proves to be the case, to determine whether the neoplasm is benign or malignant. Once these systems are applied to Magnetic Resonance images, it takes no time at all to make a neoplasm prediction, and the subsequent accuracy makes treating patients much easier. The radiologist can make quick decisions with the help of these predictions. K-means clustering method is then used to divide the brain into distinct tissues.. This method shows promise in the classification of a variety of disorders using a certain style of Magnetic Resonance images.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115600789","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: 2