2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)最新文献

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Generating Electricity by Non-Biodegradable Waste 利用不可生物降解的废物发电
R. Santhosh Kumar, Gharniyas. T.R, D. P, Arun Prasath. S
{"title":"Generating Electricity by Non-Biodegradable Waste","authors":"R. Santhosh Kumar, Gharniyas. T.R, D. P, Arun Prasath. S","doi":"10.1109/ICIDCA56705.2023.10099978","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099978","url":null,"abstract":"The waste substances from the environment have been segregated as organic and inorganic substances. The growth in the amount and diversity of waste substances produced in this society, effects the environment and human health, which in return leads to various illnesses. A comprehensive research was conducted to understand the potential of Waste Materials to Electric power (WtE) especially using non-biodegradable waste like plastics and tins by burning these substances, the heating panel will produce electricity. The WtE concept is a revolutionary approach that may help to reduce the environmental impact for the humans. The WtEplant converts the waste substances into electricity, through heating panel. The electricity generated from the WtE plant may be used to power homes, businesses, and other establishments, reducing the need for traditional electricity from non-renewable sources. The WtE plant also helps to reduce the amount of waste that is sent to landfills. By reducing the amount of waste being sent to landfills, the WtE plant would reduce the amount of greenhouse gases like CO2, CO, SO2, NO2, and heavy metals like mercury being released into the atmosphere. In addition, the WtE plant would also be able to reduce the amount of energy that is needed to transport the waste to and from the landfills.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"33 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917614","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
Oral Cancer Detection using Deep Learning Techniques 使用深度学习技术检测口腔癌
Nagamani Tenali, Vasavi Sripriya Desu, Charishma Boppa, Varshith Chowdary Chintala, Bhavana Guntupalli
{"title":"Oral Cancer Detection using Deep Learning Techniques","authors":"Nagamani Tenali, Vasavi Sripriya Desu, Charishma Boppa, Varshith Chowdary Chintala, Bhavana Guntupalli","doi":"10.1109/ICIDCA56705.2023.10100045","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100045","url":null,"abstract":"One of the most serious tumors that affects the oral cavity is oral cancer. Smoking cigarettes and increased tobacco use are the main risk factors for mouth cancer. When oral cancer is found in its early stages and treated successfully, many lives can be saved Histological analysis of an oral cavity tissue sample is the accepted method in medicine for identifying oral cancer. This method requires more time and is more invasive than obtaining a brush sample and then performing a cytological analysis. For a better prognosis, treatment plan, and chance of survival, early diagnosis is essential. Therefore, this paper suggests deep learning techniques to perform early detection of oral cancer and eventually leads to its prevention. Deep learning techniques enable early detection of disease to provide precision medicine. According to the recent research reports, this method has significantly advanced the extraction of data and interpretation of crucial information related to medical imaging. It has the potential to identify oral cancer with a cost-efficient, non-invasive, and effective method, having substantial clinical implications.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131648119","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
An Early Detection of Pneumonia in CXR Images using Deep Learning Techniques 利用深度学习技术在CXR图像中早期发现肺炎
Praveen Kumar Mannepalli, Parcha Kalyani, Sofia A. Khan, Vaishali Nitesh Ghodichor, Pradeep Singh
{"title":"An Early Detection of Pneumonia in CXR Images using Deep Learning Techniques","authors":"Praveen Kumar Mannepalli, Parcha Kalyani, Sofia A. Khan, Vaishali Nitesh Ghodichor, Pradeep Singh","doi":"10.1109/ICIDCA56705.2023.10100230","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100230","url":null,"abstract":"Pneumonia is a leading cause of death worldwide, and diagnosing other lung diseases, including lung cancer, cardiomegaly, atelectasis, etc., can be difficult. The most common technique for determining the presence of pneumonia is using chest X-ray imaging. However, analyzing a chest X-ray is a complex process that might result in significant subjective variation. In this research, one of the main goals is to figure out how to use deep learning (DL) to spot pneumonia on CXR. This study provides a CNN model for automatically detecting pneumonia in chest radiographs. This study has built an ensemble of three CNN models and used deep transfer learning (DTL) to deal with the data shortage. The methodology entails collecting a dataset of CXR images, which is then preprocessed, enhanced utilizing threshold, LNB feature extracted, data augmented to form a new data point and split into two datasets. In the end, CNN was utilized to teach about and categorize Pneumonia. With the suggested CNN approach, the greatest testing and training accuracy rates of 0.9888 and 0.9281 were obtained on the pneumonia detection (PD) dataset. These results are based on fusing the scores of four standard assessment metrics: precision, accuracy, recall, and f1-score.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131319435","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
Pyciuti: A Python Based Customizable and Flexible Cybersecurity Utility Tool for Penetration Testing Pyciuti:一个基于Python的可定制和灵活的网络安全实用工具,用于渗透测试
Muralidharan M, Keshav Balaji Babu, S. G
{"title":"Pyciuti: A Python Based Customizable and Flexible Cybersecurity Utility Tool for Penetration Testing","authors":"Muralidharan M, Keshav Balaji Babu, S. G","doi":"10.1109/ICIDCA56705.2023.10099938","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099938","url":null,"abstract":"Cybersecurity is the technology and process for safeguarding networks and devices against attacks, damage, or unauthorized access. Everyone who is in the field of cybersecurity has been at a phase where they have been confused about the endless list of tools that are used in this field. From Nmap to Burp suite. People who want to enter this field get confused at the endless list of tools and resources and thus end up using high-level tools for a long time before figuring them out or just giving up halfway. The challenge presented in this scenario is that for a given objective such as scanning a web application, the user needs to learn and use more than three or four tools, which are difficult to integrate. Thus the need for a general-purpose tool that has everything built inside it comes up so that professionals and new entrants don't have to search through an endless list of tools to find the good and useful ones. The objective of this research is to build a fully integrated tool that can be used by users, without having to download and learn all the different tools available on the market. The research work proposed a similar idea in the form of a general-purpose tool based on python that caters to everyone in this field. This tool includes custom scanners to crawlers and malware. The proposed work envisions all-purpose tool that is both flexible and customizable so thatit does not only cater to newusers in the field but also includes tools for professionals for a quick lookout.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126809627","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
Crop and Weed Semantic Segmentation using a Fuzzy Transform based Active Contour Model 基于模糊变换的活动轮廓模型的作物和杂草语义分割
Zaheeruddin Syed, K. Suganthi
{"title":"Crop and Weed Semantic Segmentation using a Fuzzy Transform based Active Contour Model","authors":"Zaheeruddin Syed, K. Suganthi","doi":"10.1109/ICIDCA56705.2023.10099979","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099979","url":null,"abstract":"The idea of semantic segmentation is crucial in many different fields, Including robotic vision, medicine, and manv others. Weeds are one of the main factors that could reduce crop productivity, thus it is essential to understand how crucial semantic segmentation is in the agricultural industry in segmenting crops from weed. Images are usually taken in a variety of climatic environments. often making them with low contrast. Using a fuzzy transform, which improves Image quality reasonably and will able to brinz out shapes or areas of interest within an image. To the resultant image enhancement using fuzzy transform, the study applies an active contour model which with the heln of the level set method identifies the boundaries and objects which were hidden due to low contrast. The propossed method when applied in the sezmentation of crop and weed delivers promising results. The outcomes of this strategy demonstrate its effectiveness.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114329932","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
A Multi-Objective Composite Model for Crop Prediction using Machine Learning Methods 基于机器学习方法的作物预测多目标组合模型
Mattaparthi Sai Rohith, Sanjana Rayavarupu, Veerubhotula Sarath Chandra, C. Lakshmi, T. P. Kalyan
{"title":"A Multi-Objective Composite Model for Crop Prediction using Machine Learning Methods","authors":"Mattaparthi Sai Rohith, Sanjana Rayavarupu, Veerubhotula Sarath Chandra, C. Lakshmi, T. P. Kalyan","doi":"10.1109/ICIDCA56705.2023.10100086","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100086","url":null,"abstract":"Every year, numerous farmers face problems because of seasonal and viral crop diseases, and results in crop loss. The proposed model, “FARMECO”, detects the crop diseases so that the farmer may be privy to it and search for solutions. It is often likely that the diseases go undetected but are not known to the general public. So this study has considered some well-known diseases and built a proposed ML predictive model. The proposed model initially requests the farmer (client) to offer pictures of the plant wherein they may experience any abnormalities and take them as input. Then, the TeachableMachines.io is used to add numerous pattern images of that precise plant and the diseases attacking it typically and try to expect what diseases the given plant pattern is struggling with. These challenges assist us in diagnosing the disorder or trouble so that some measures can be taken accordingly.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"727 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124018402","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 Novel Analysis and Detection of Autism Spectrum Disorder in Artificial Intelligence Using Hybrid Machine Learning 基于混合机器学习的人工智能自闭症谱系障碍分析与检测
Senthil G. A, R. Prabha, J. Nithyashri, S. P., I. Thamarai, S. S
{"title":"A Novel Analysis and Detection of Autism Spectrum Disorder in Artificial Intelligence Using Hybrid Machine Learning","authors":"Senthil G. A, R. Prabha, J. Nithyashri, S. P., I. Thamarai, S. S","doi":"10.1109/ICIDCA56705.2023.10099683","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099683","url":null,"abstract":"Heart Disease or Cardiovascular Disease refers to the range of heart conditions like cardiac arrest, coronary artery disease. Heart disease can be very well hindered through certain lifestyle changes. There is a significant increase in the mortality rate recently due to the distinctive heart diseases. Machine learning uses mathematical models to work efficiently with the enormous amount of data. It plays a crucial role in medical science in the prediction of distinctive diseases. Cardiologists inspects the heart functionality using electrocardiography, computed tomography. These tests are quite expensive for a common man. Recent times, the life span of a human is guaranteed only with the support of medications. As prevention is better than the cure, machine learning helps to predict the vulnerability of a heart disease with few elemental symptoms and health factors. It is been fed by the basic data of the patients like age and sex. Machine learning helps to predict the vulnerability in advance which provides the cardiologists with great acumen for the adaption of the treatment. Machine learning algorithms have proven to produce reliable and accurate output with the help of the inputs. The algorithms used in the article include K-Nearest Neighbour (KNN) and decision tree classifier which is compared to yield the desired and efficient output.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122450137","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
Security In Smartphone: A Comparison of Viruses and Security Breaches in Phones and Computers 智能手机中的安全:手机和电脑中的病毒和安全漏洞的比较
Akash Deep, Saikat Gochhait
{"title":"Security In Smartphone: A Comparison of Viruses and Security Breaches in Phones and Computers","authors":"Akash Deep, Saikat Gochhait","doi":"10.1109/ICIDCA56705.2023.10100128","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100128","url":null,"abstract":"In today's society, most of the waking hours are spent on mobile phones and personal computing devices; as reliance on technology and online transactions grows, which in turn increases the security risk. S martphones are becoming more accessible and convenient due to rapid technological improvements and cost reductions. The increasing dependence has serious security ramifications, mainly if the users are uninformed of smartphone information security risks. This paper discusses various security threats, viruses, countermeasures, information gathering, and OS, emphasizing open-source software developed to safeguard mobile phones from these attacks. The ease with which cyber attackers may acquire access to personal data is through cell phones to do private tasks. As a result, recommended practices for protecting and securing smart mobile phones were presented in this study.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124960902","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 Novel Method of Current Fed Dual Bridge DC to DC Converter with ZVS 一种带ZVS的馈流双桥DC - DC变换器的新方法
K. Deepak, M. Lakshmi, P. Riyaz, Bondili Veerendra singh, A. Sathish, vadde siva Kumar
{"title":"A Novel Method of Current Fed Dual Bridge DC to DC Converter with ZVS","authors":"K. Deepak, M. Lakshmi, P. Riyaz, Bondili Veerendra singh, A. Sathish, vadde siva Kumar","doi":"10.1109/ICIDCA56705.2023.10100212","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100212","url":null,"abstract":"DC to DC converters' applications are sporadic expanding due to their many benefits and simplicity. A dual bridge DC to DC converter with zero dead time and a low cost filter inductor is presented here as part of this study. When compared to other typical full bridge converters, the suggested dual bridge DC to DC converter has lower input current ripples, less stress on switches, and a requirement for a smaller inductor for filtering. Further the dead time is not present in the operation of proposed converter but it is existed in conventional converter. Lower inductance size can improve the transient speed and reduces the size of filter in output which helps to improve power density. This paper explains the suggested topology's operation in detail. To examine the suggested topology under various operating situations, the MATLAB/Simulink programme is utilised.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127510110","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
Role of Image Analysis on Coke Strength Prediction: A Survey 图像分析在焦炭强度预测中的作用综述
Shama Firdaus, Shamama Anwar, Subrajeet Mohapatra
{"title":"Role of Image Analysis on Coke Strength Prediction: A Survey","authors":"Shama Firdaus, Shamama Anwar, Subrajeet Mohapatra","doi":"10.1109/ICIDCA56705.2023.10099616","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099616","url":null,"abstract":"The metallurgical coke consists of different qualitative and quantitative properties. Qualitative properties defining the varied structure of a coke sample have visible influence on the strength of the coke and coke strength is a topic of study in view of its application areas. Image analysis provides a very reliable method for the quantification of these coke properties and establishes a direct link to the strength prediction of coke. With time, the different available microscopic imaging technologies have also evolved a lot and cater an extremely wide range of imaging requirements. The aim of this survey is to study the scope of image analysis in the field of the coke mineralogy. It tries to outline the properties of coke in two aspects, first are the established metrics that have been traditionally used to quantify the coke strength indexes and next are the qualitative properties engraving the structural complexity of coke. It also provides an idea of the different imaging modalities that have been applied in the area of study of coke behaviour, and their feasibility as per the requirements of the research. It has been tried to congregate an otherwise more scattered information into a single frame, that is available through various research work that has already been done. This survey covers the different structural features of the coke sample and their role in determining the coke quality, the influence of different carbon forms constituting the solid region of the coke body on the reactivity of coke, the role of the constituent coal blends of coke on its reactivity. It also provides a comparison of the different microscopic imaging technology available that will be helpful in making a choice as per the requirement of the experiment.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124454686","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
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