2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)最新文献_第8页

A Novel Deep Learning-based Approach for Covid-19 Infection Identification in Chest X-ray Image using Improved Image Segmentation Technique

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125745

Gouri Shankar Chakraborty, Salil Batra, Makul Mahajan

{"title":"A Novel Deep Learning-based Approach for Covid-19 Infection Identification in Chest X-ray Image using Improved Image Segmentation Technique","authors":"Gouri Shankar Chakraborty, Salil Batra, Makul Mahajan","doi":"10.1109/ICOEI56765.2023.10125745","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125745","url":null,"abstract":"Covid-19 diagnosis systems are being improved with the emerging development of deep learning techniques. Covid-19 is widely known for the deadly effects and its high transmission rate. To overcome the challenges, different deep learning-based detection methods have been introduced through which the disease can easily be identified in patient's body. But only identification of the disease is not sufficient to assist physicians for further diagnosis. Infection identification process with severity measurement from medical image can put an advancement in current Covid-19 diagnosis systems. This work presents a novel infection detection approach based on image segmentation technique that can be used to localize the infection. The proposed system is able to predict segmented lung and mask images with visual representation so that it makes the diagnosis task easier for the physicians. ResNet-U-N et, VGG16-U-Net and a modified U-Net model have been implemented in the proposed work where the modified U-Net performed better with 0.968 IoU, 98.60% accuracy and 0.9567 of dice coefficient. An advanced module using OpenCV has been designed that can calculate the area of the predicted lung and infection mask images separately and then the infection percentage can be calculated accurately.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129410676","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

Key Generation using Curve Fitting for Polynomial based Cryptography 基于多项式密码的曲线拟合密钥生成

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125901

K. R. Ramkumar, Taniya Hasija, Bhupendra Singh, Amanpreet Kaur, S. Mittal

引用次数: 0

Effective Security Testing of Mobile Applications for Building Trust in the Digital World 在数字世界中建立信任的有效移动应用安全测试

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125814

Kapil Kant Kamal, Padmaja Joshi, A. Bang, Kavita Bhatia

{"title":"Effective Security Testing of Mobile Applications for Building Trust in the Digital World","authors":"Kapil Kant Kamal, Padmaja Joshi, A. Bang, Kavita Bhatia","doi":"10.1109/ICOEI56765.2023.10125814","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125814","url":null,"abstract":"In recent years, mobile applications have become increasingly important. These applications differ significantly from desktop and web applications, and being used increasingly in various enterprise domains. Accordingly, this motivates the mobile industries to increase the accessibility of mobile applications and their development across many platforms, including Android and iPhone. This research work discusses the security testing procedure and features of India's first indigenous AppStore “mSeva AppStore”. To ensure the quality of the hosted mobile applications, distinct techniques, and effective testing approaches are required. Before hosting the application on mSeva AppStore regressive testing is performed in all aspects like insecure permissions, data storage, secure logic, proper platform algorithms, etc. However, in the current mobile application testing scenario, other AppStore does not consider all factors before hosting the applications, which is quite necessary. This study highlights the key terminologies of mobile application testing and quality parameters. Further, demonstrates the actual results that are obtained during the security testing of various applications. Along with this, the first-ever Common Weakness Enumeration (CWE) based classification regarding common artifacts in mobile application testing is provided. The peculiarities discussed with respect to mobile applications and the testing requirements in the context of secure hosting will help the relevant researcher and stakeholders in this field.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121624775","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

Need of Cyber Security, Tools, Uses and Future Research 网络安全的需求、工具、用途和未来研究

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125792

P. Pandey, M. Wazid, A. Mishra, N. Mohd., D. P. Singh

引用次数: 2

IoT based Overload Detection System in Public Transportation Vehicles 基于物联网的公共交通车辆过载检测系统

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125693

B. Masram, Aakansha Nimje, Arpita Raut, Neha Mehatre, Sayli Humane

引用次数: 0

Disease Identification in Tomato Leaves Using Inception V3 Convolutional Neural Networks 基于Inception V3卷积神经网络的番茄叶片病害识别

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125758

Srinivas Samala, Nakka Bhavith, Raghav Bang, Durshanapally Kondal Rao, C. Prasad, Srikanth Yalabaka

{"title":"Disease Identification in Tomato Leaves Using Inception V3 Convolutional Neural Networks","authors":"Srinivas Samala, Nakka Bhavith, Raghav Bang, Durshanapally Kondal Rao, C. Prasad, Srikanth Yalabaka","doi":"10.1109/ICOEI56765.2023.10125758","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125758","url":null,"abstract":"Tomatoes are the most widely grown vegetable, used in a wide variety of dishes around the world. After potatoes and sweet potatoes, it is the third most extensively cultivated crop in the world. However, due to several diseases, both the quality and quantity of tomato harvests dedine. To maximize tomato yields, it is important to identify and eradicate the many diseases that harm the crop as early as possible. In this paper, we investigate the potential of deep learning techniques for diagnosing diseases on tomato leaves. The use of automatic methods for tomato leaf disease detection is helpful because it reduces the amount of monitoring needed in large-scale crop farms and does so at a very early stage when the signs of the disease identified on plant leaves are still easy to cure. The Kaggle dataset for tomato leaf disease was used for the study. A technique based on convolutional neural networks is used for disease identification and classification. Deep learning models, such as Inception V3 are used in this work. This proposed system obtained an accuracy of 99.60% suggesting that the neural network approach is effective even under difficult situations.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430744","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

A Dual Band Fractal Antenna with Truncated Hexagonal Nested Rings for Wireless Applications 用于无线应用的截断六边形嵌套环双波段分形天线

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125628

N. Srikanta, M. Pachiyaannan

引用次数: 0

IoT-based Web Application for Passenger Travel Tracking System 基于物联网的旅客出行跟踪系统Web应用

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125610

M. Sohaib, V. Aarthi, M. N. Laxmi, G. G. Shivaji, T. A. Kumar, M. Ramesh

{"title":"IoT-based Web Application for Passenger Travel Tracking System","authors":"M. Sohaib, V. Aarthi, M. N. Laxmi, G. G. Shivaji, T. A. Kumar, M. Ramesh","doi":"10.1109/ICOEI56765.2023.10125610","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125610","url":null,"abstract":"In this work, RFID (Radio Frequency Identification Device) labels are used to create electronic transportation tickets for the public transportation system. Transport systems with cutting-edge innovations like RFID, IoT, and GPS will eventually gain popularity due to their advantages of greater comfort and higher ethical standards as compared to traditional transport systems or paper ticketing systems. In the proposed approach, the passenger is automatically identified by using their RFID card, and the fare according to the distance travelled by the passenger is automatically subtracted from the RFID card. GPS and RFID tags are used to increase the precision of fare calculation and passenger identification. The RFID system can replace conventional paper-based tickets since they are better because they are reusable and offer improved accuracy. This eliminates the outdated paper-based bus booking system and guards against money laundering and corruption. RFID tags are used as reusable tickets that calculate the fee based on the user's GPS-measured distance travelled. By using this system, human errors and effort are reduced.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129195996","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

Analysis and Implementation of Image Steganography by Using AES Algorithm 基于AES算法的图像隐写分析与实现

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125790

Riya Kedia, B. Kumar, Pallab Banerjee, Pooja Jha, Tannisha Kundu, Mohan Kumar Dehury

引用次数: 0

KARE - Presto Canteen Management System with an Android Application KARE - Presto食堂管理系统与Android应用程序

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) Pub Date : 2023-04-11 DOI: 10.1109/ICOEI56765.2023.10125634

P. Manikandan, K. K. Babu, G. M. Reddy, G. Kalayan, V. Muneeswaran

{"title":"KARE - Presto Canteen Management System with an Android Application","authors":"P. Manikandan, K. K. Babu, G. M. Reddy, G. Kalayan, V. Muneeswaran","doi":"10.1109/ICOEI56765.2023.10125634","DOIUrl":"https://doi.org/10.1109/ICOEI56765.2023.10125634","url":null,"abstract":"In the midst of a technological revolution that is set to drastically alter human daily lives and may even redefine the concept of humanity. One area where technology is being implemented is in canteen management systems, which offer a convenient way for university students and staff to order food without having to physically go to the cafeteria and wait in long queues. This research work proposes a canteen management system that utilizes an ARM processor, Bluetooth module, thermal printer, Liquid Crystal Display (LCD), and an Android application. The Android app dis plays the food menu with prices and ratings, allowing users to remotely order their food from within the canteen. This saves time for students and staff, who no longer must stand in line for extended periods. The canteen cashier can see the orders and print the bill once the user has paid. This system is designed to streamline the food ordering process and reduce wait times. Many universities do not have a food order collection system, forcing students to go directly to the counter and place an order, which is a time-consuming process. This system aims to solve this problem and provide a more efficient way for students and staff to order food.","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131646829","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