{"title":"A Sensor based design to Automate the Operation of a Fan","authors":"Parul Dubey, V. Verma, Amit Shrivastava","doi":"10.1109/InCACCT57535.2023.10141837","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141837","url":null,"abstract":"In countries with warm climates, fans are popular consumer product. However, they are seldom used when the temperature falls significantly, such as in the winter and at night. In such instances, they must be physically managed in order to maintain a comfortable temperature in our living environment. The fans need to be automated when we have kids and individuals in need of care, they cannot do it alone. Therefore, action must be made to resolve this problem. The invention in this paper is an IoT based project. This gadget was designed to solve this problem. In this design sensor and microcontroller will be used to automate the operating procedure. The fan’s operation will be automatically triggered if there is a fall in temperature range specified in the design. This is being created with affordability in mind so that middle-class individuals may afford to replace their present fan with a smart fan and enjoy the benefits of technology advances. Installing this innovation will give a standard fan the capabilities of a smart device, including the ability to switch on and off in response to changes in the surrounding temperature.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127326513","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":"Comparative Analysis of Supervised Learning Algorithms for Valuating Used Car Prices","authors":"Jayant Singh Jhala, D. Anand","doi":"10.1109/InCACCT57535.2023.10141827","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141827","url":null,"abstract":"The Indian automobile industry had its highest-ever annual domestic passenger vehicle sales last year. A total of 3.793 million or 37.93 lakh units were sold in the country in 2022, which is 23.1 percent higher than the preceding year. Similarly, the used car sale is also be increased day by day. The actual and reasonable rates of used cars are important to sale and purchase so that, buyers and sellers will be get benefited. The disparity in prices due to various characteristics or features consistently making prediction of price a difficult job. In the matter of used car price prediction, it has been equally tough. It is challenging to determine when the advertised price is indeed legitimate. Used car prices are highly affected by features like new car price, engine power (cc), maximum power (bhp). For the sake of predicting used car prices on ground of its characteristics, this research target to generate machine learning models incorporating multiple linear regression, decision tree regression and random forest regression. The Car Dekho data set that is used, initially had 13 attributes and 19974 records. In this Research Field, significant study has been carried out; although, not all of them utilized Scikit-learn. Our Suggested models produced accuracy of 94.10% with random forest regression whereas 92.45% with decision tree regression and 89.85% with multiple linear regression.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127561729","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 and Evaluation of Regression Models for Sales Forecasting","authors":"Ann Baby, Antony Kevin Newniz","doi":"10.1109/InCACCT57535.2023.10141828","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141828","url":null,"abstract":"Machine learning is transforming every sector of today’s world. By forecasting or forecasting sales, one can maximize the profits of business-to-consumer (B2C) models involving retail chains. This study examines aspects of predicting marketing trades by means of data. The results of this study will benefit store managers to provide a broad analysis of various forecasting methods for retail chain sales forecasting. This research study is to compare forecasting models that can analyze the seasonality of sales. Comparisons between different regression models such as linear regression, k-nearest neighbor, decision tree regression, random forest regression and XGB regression are performed and analyzed.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127593168","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":"Lungs Disease Classification using VGG-16 architecture with PCA","authors":"Vaishali Gupta, Ruchi Patel","doi":"10.1109/InCACCT57535.2023.10141690","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141690","url":null,"abstract":"People all over the world are afflicted by lung disease, which is a prevalent illness. The earliest possible diagnosis of lung illness is necessary. Due to this, a number of deep learning models for processing image data evolved over time. Advances in deep learning have helped identify lung disorders and detect them in diagnostic images. Various types of modern deep learning techniques, including vanilla neural networks, convolutional neural networks (CNN), visual geometry group (VGG) dependent neural networks, and capsule networks, can be used to classify lung cancer. The basic CNN performs poorly when trying to handle rotated, curved, or other unusual image orientations. As a result, the proposed work explored using principal components analysis (PCA) and the VGG16 deep learning architecture. In order to extract significant features from an image dataset, PCA is generally used. The Chest X-ray of National Institutes of Health (NIH) is taken as dataset which contains 112,120 images of X-ray of 30,805 different patients. In the current work, accuracy is used to evaluate performance, and VGG 16’s accuracy is 79.1%. The PCA approach has raised it by up to 96%. Additionally, the proposed architecture is contrasted with current work.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121936118","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}
Devyani Pokhriyal, Rajesh Bahuguna, M. Memoria, Rajiv Kumar
{"title":"Artificial Intelligence Based Legal Application For Combating Domestic Violence","authors":"Devyani Pokhriyal, Rajesh Bahuguna, M. Memoria, Rajiv Kumar","doi":"10.1109/InCACCT57535.2023.10141818","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141818","url":null,"abstract":"When we talk about domestic violence, it includes a broad range of violent acts committed by one family member or household against another. Restrictions imposed during the recent pandemic made it impossible for domestic violence victims to access proper authority for effective remedies. To overcome this research gap, we aim to propose artificial technology-based domestic violence redressal mechanisms using ASR (automated speech recognition) for people who cannot physically go to official authorities. A literature review was conducted using literature from Scopus, PubMed, Research gate, and Semantic Scholar. We discovered that lack of physical access during the pandemic was the reason for the rise in domestic violence cases. Proposed Artificial Intelligence technology-based redressal mechanisms would help to deter physical barriers imposed by the pandemic.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121953277","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}
S. Rana, A. Rana, S. M. N. I. Naz, Ashutosh Kumar Singh, B. Bhushan
{"title":"Supply Chain Strategies Supported By Blockchain Technology: Open Problems and Challenges","authors":"S. Rana, A. Rana, S. M. N. I. Naz, Ashutosh Kumar Singh, B. Bhushan","doi":"10.1109/InCACCT57535.2023.10141764","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141764","url":null,"abstract":"The most prevalent issue in the supply chain ecosystem is introducing transparency to the system. Another issue is fostering trust among various stakeholders to support successful process execution. Depending on the domain and the stakeholders, the supply chain process may change. Thus, solving the issue is challenging. Blockchain technology, sometimes referred to as distributed ledger technology, is beneficial in many ways in a variety of industries, including finance and healthcare. Blockchain based model can resolve the issues of traditional supply chain ecosystem. It creates a decentralized and transparent system where every decision is taken with the help of consensus of the associated stakeholders. This supports an immutable ledger so unauthorized modification is not supported. In this article, we address the issues that the supply chain ecosystem faces as well as the benefits of blockchain technology in resolving these issues. As well as some of the remaining challenges and opportunities, other aspects of blockchain technology are explored that will enable it flourish in future supply chains.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123341333","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}
Sandeep Sarowa, B. Bhanot, Vijay S. Kumar, Munish Kumar
{"title":"Review of Smart Transportation and Challenges: Cyber Security Perspective","authors":"Sandeep Sarowa, B. Bhanot, Vijay S. Kumar, Munish Kumar","doi":"10.1109/InCACCT57535.2023.10141708","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141708","url":null,"abstract":"Transportation plays an important role in human life. In this 20th century, whole world is connected via technology. This technological advancement has also changed the transportation sector. Smart Transportation is the need of the society and global development. However, this technological upgradation comes up with cyber security challenges. Advance preparedness and precautionary measures becomes the key to handle the victimized situations. In this paper, smart transportation, its components, security challenges and potential attack vectors in transport sector are discussed. A few global cyber-attack incidents over transportation sector are also studied to analyse the attack mechanism. The essential proactive measures to mitigate possible cyber-attack are discussed to improve the security posture of smart transportation ecosystem.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131752832","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":"Cyber-Physical Systems for Smart City Applications: A Comparative Study","authors":"K. Singh, Prabhdeep Singh, Rishu Chhabra, Gaganpreet Kaur, Ankit Bansal, Vikas Tripathi","doi":"10.1109/InCACCT57535.2023.10141719","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141719","url":null,"abstract":"Integrating Cyber-Physical Systems (CPS) in smart cities can significantly improve citizens’ quality of life and the overall functioning of urban areas. This study aimed to examine the use of CPS for smart city applications and to explore these systems’ potential benefits, challenges, and limitations. The study utilized a comprehensive way to gather data and insights on CPS in smart cities. The major findings of the study showed that CPS has the potential to significantly improve efficiency, citizen engagement, public safety, environmental management, and decision-making in smart cities. However, the study also found that some significant challenges and limitations need to be addressed, such as privacy and security concerns, scalability, and Integration with existing systems. The findings of this study can inform future policy and decision-making related to implementing CPS in smart cities. They can provide important insights for researchers and practitioners working in related fields.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131793347","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":"Security and Privacy Aspects of Electronic Health Records: A Review","authors":"Divya Sharma, C. Prabha","doi":"10.1109/InCACCT57535.2023.10141814","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141814","url":null,"abstract":"With the growth in population, there is an increase in the amount of Electronic Health Records (EHR) and so is the rise in concern regarding their security and privacy. At present, the security and privacy of EHR have gained significant importance. This research paper gives an indebt understanding of what EHR comprises and why they need to be secured. Further how the Internet of Medical Things (IoMT) devices contribute towards adding records into these EHR. Further, this paper answers Why these EHR are saved as big data? This research also compares the already prevalent security technique used in EHR. Finally, this paper studies the various performance evaluation metrics which are commonly used for the evaluation of EHR.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941058","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}
Pranitha Vodnala, Deepika Misala, Rupika Podarla, M. Srilatha
{"title":"Electronic Box Design to Avoid Exam Paper Leakage and Alerting System","authors":"Pranitha Vodnala, Deepika Misala, Rupika Podarla, M. Srilatha","doi":"10.1109/InCACCT57535.2023.10141813","DOIUrl":"https://doi.org/10.1109/InCACCT57535.2023.10141813","url":null,"abstract":"Security plays a significant part in preventing various assets and crimes everywhere. As it has been expanded from one to all people, education has turned into a fundamental human right. The examination plays a big role in the education system. The main goal of the exam would be to choose the best candidates for the various roles. Updates stating that tests have been postponed or cancelled owing to an investigation of paper leaks occurring every year. to avoid this spillage of exam papers, a mechanism is put in place. This system was created using an embedded system. The Arduino Uno, Face recognition, OTP generation, and GSM module are the essential components of this system.","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125724320","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}