2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)最新文献_第5页

Secure Framework for Cloud based E-Education using Deep Neural Networks 基于深度神经网络的云教育安全框架

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445302

K. Priya, L. Sumalatha

{"title":"Secure Framework for Cloud based E-Education using Deep Neural Networks","authors":"K. Priya, L. Sumalatha","doi":"10.1109/ICIEM51511.2021.9445302","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445302","url":null,"abstract":"E-Education is an important aspect that facilitates the online and virtual education. The advancements in the education institutes are increasing tremendously which requires high-end servers, software’s, and applications that leads to the huge investment cost. The optimized solution is adoption of cloud services. Hosting the applications and documents over the cloud provides flexibility, performance, and quality of the education. Despite the advantages, the main challenge associated with the E-Education over the cloud is privacy and security of the outsourced data. In the existed solutions stores all the documents in the same storage area, similar type of authentication algorithm for all users, and single type of encryption algorithm is applied for all documents. In this paper, a secure framework of E-Education over the cloud environment is proposed that performs the authentication of the cloud users in the effective way through the multiple-factors based on the role and activities of a user. To extract the accurate features of the biometric face modality VGG2F Convolutional neural network is applied. Documents storage classification, secure question paper generation, and verification are proposed in the secure way. The proposed model reduces the overhead, processing time, and billing cost by adopting different deployment models, authentication mechanisms, and cryptographic ciphers. The biometric face authentication through the VGG2F model improves the accuracy, and hybrid combination of encryption algorithms with different key sizes applied on the documents resists various attacks. The evaluated results show that the proposed framework is suitable for E-education in the cloud.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"24 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120995676","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

“Deep Learning based diagnosis of sickle cell anemia in human RBC” 基于深度学习的人类红细胞镰状细胞性贫血诊断

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445293

Bheem Sen, Adarsh Ganesh, Anupama Bhan, Shubhra Dixit

{"title":"“Deep Learning based diagnosis of sickle cell anemia in human RBC”","authors":"Bheem Sen, Adarsh Ganesh, Anupama Bhan, Shubhra Dixit","doi":"10.1109/ICIEM51511.2021.9445293","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445293","url":null,"abstract":"Sickle cell disease is a type of anemia distinguish by irregular erythrocytes that cause blood stream blocking, it is a severe hematological condition that causes people to be treated regularly during their lives and may also result in death. Standard RBC have a spherical form and are compact and resilient, allowing them to travel across narrow capillaries with ease. Irregular RBC’s, on the other hand, have a sickle appearance and are rigid and blunt, allowing them to get trapped in thin blood vessels. Patients will experience discomfort as a result of this, and low oxygen and exhaustion will result. In this research a Deep CNN model, to classy sickle cell disease and data augmentation technique such as flipping, zooming, height and width shift done to get much better accuracy, in this research Idb1 erythrocytes microscopic photographs of blood smears obtained from patients infected with sickle cell, and the dataset is divided into test and train for each classis which are circular, elongated and others. For the classification task five pre trained model are used which are VGG16, VVG19, ResNet50, ResNet101 and Inception V3. Proposed models’ efficiency is shown by the results of the work, which offers better accuracy of the classification.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134044094","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: 4

Investigation of Solar Passive concepts in building envelope for a reduction of energy usage 建筑围护结构中太阳能被动式概念的研究，以减少能源的使用

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445359

Jaspal Singh, R. K. Tomar, N. Kaushika, G. Nandan

引用次数: 0

An AI Integrated Face Detection System for Biometric Attendance Management 一种用于生物识别考勤管理的AI集成人脸检测系统

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445295

Ashish Khuran, B. P. Lohani, Vimal Bibhu, Pradeep Kushwaha

{"title":"An AI Integrated Face Detection System for Biometric Attendance Management","authors":"Ashish Khuran, B. P. Lohani, Vimal Bibhu, Pradeep Kushwaha","doi":"10.1109/ICIEM51511.2021.9445295","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445295","url":null,"abstract":"Fair attendance processing and management is a critical process to organizations and institution. The biometric system also results the false positive and false negative. People do not prefer biometric due to exposure of sensors imaging to the certain part of body. This paper discusses the efficient biometric attendance management through integrating Artificial Intelligence sub systems. The proposed system discusses an integrated technological framework to control and manage the attendance of employee and staff members. Face recognition system is approached with many of the algorithms but in this integrated approach of Artificial Intelligence and biometric systems with LBPH algorithm provides the precise output. This LBPH algorithm processes the pixels of a detected image and threshold value is determined with binary pattern. A regular database is created to manage and preserve the attendance to execute the future processing. This integrated technological system produces efficient results and also reduces the false negative and false positive response of the biometric attendance management system.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134538915","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

e-Vaccine: An Immunization App 电子疫苗:一个免疫应用程序

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445386

Shirin Hasan, Mir Mohammad Yousuf, Mubashir Farooq, Nishita Marwah, Syed Ahtisam Ashraf Andrabi, Hemant Kumar

引用次数: 3

DME: An Efficient Encryption Technique for Body Sensor Network in Healthcare Internet of Things (HIoT) DME:医疗物联网(HIoT)中人体传感器网络的高效加密技术

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445374

Chetan Pandey, Sachin Sharma, Priya Matta

引用次数: 6

Parametric Binary Tree Labeling Based RDHEI Technique 基于参数二叉树标记的RDHEI技术

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445389

Abhishek Jain, N. Kumar

{"title":"Parametric Binary Tree Labeling Based RDHEI Technique","authors":"Abhishek Jain, N. Kumar","doi":"10.1109/ICIEM51511.2021.9445389","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445389","url":null,"abstract":"The current paper proposes a reversible data hiding technique in an encrypted image (RDHEI) using a parametric binary tree labeling (PBTL) scheme. The PBTL scheme provides a range of prediction errors to be utilized in data embedding. The binary tree is characterized by a tuple parameter, which is configured to provide the highest embedding rate. Yi et. al.’s technique introduces PBTL based RDHEI scheme, but it lacks high embedding capacity and high security. Further, it utilizes a causal predictor, which is not efficient in predicting embeddable errors. The proposed technique suggests a two-layer embedding strategy in encrypted image in which one of the pixel layers is exploited using the non-causal predictor and another pixel layer is exploited using the causal predictor. The advantages of both causal predictor and non-causal predictor are utilized in the proposed technique to increase embedding capacity than the conventional techniques. In addition to this, data security is also improved by employing a standard pixel-based encryption technique. Thus, in comparison to conventional techniques, the proposed technique maximizes the embedding rate and also ensures high data security.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125215566","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

Design of Metasurface based Printed Monopole Antenna for Wideband Applications 宽带超表面印刷单极天线的设计

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445315

Shaik Abdul Khadar, Niten Kumar Panda, S. Mohapatra, S. Sahu

引用次数: 0

Development of Information Technology Telecom Chatbot: An Artificial Intelligence and Machine Learning Approach 信息技术电信聊天机器人的发展:一种人工智能和机器学习方法

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445354

Mallikarjuna Gowda C P, A. Srivastava, Shubham Chakraborty, Anurag Ghosh, Harsh Raj

{"title":"Development of Information Technology Telecom Chatbot: An Artificial Intelligence and Machine Learning Approach","authors":"Mallikarjuna Gowda C P, A. Srivastava, Shubham Chakraborty, Anurag Ghosh, Harsh Raj","doi":"10.1109/ICIEM51511.2021.9445354","DOIUrl":"https://doi.org/10.1109/ICIEM51511.2021.9445354","url":null,"abstract":"Nowadays, educators can show case the technology of chatbots in various fields such as teaching and learning. Earlier the resources are almost negligible, in the field of education with the learning design integrated in it. But now with the advancement of technology, chatbot can fill the gap in the teaching landscape too. Using chatbot in the education domain is reassuring, since these bots can point out some of the logistics and diversified issues that a normal class might face. Besides this, with the further advancement of Artificial Intelligence, tech-giants like Apple, Google, and Amazon are providing platforms where building conversation is more focused rather than technicalities of computer programming i.e., to be more specific in natural language processing. In this paper, we have built a rule based chatbot on a platform named Discord, also showcased that how a chatbot can be integrated into other online platforms to counter the challenges faced in teaching. Q/A features are used to get in-depth knowledge about various preinstalled data in chatbot.","PeriodicalId":264094,"journal":{"name":"2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130398421","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: 4

Efficient Approach for Measuring Heart Pulse from Real Time Facial RGB Color Videos 从实时面部RGB彩色视频中测量心跳的有效方法

2021 2nd International Conference on Intelligent Engineering and Management (ICIEM) Pub Date : 2021-04-28 DOI: 10.1109/ICIEM51511.2021.9445283

P. Sai Kiran, Sujith Reddy Vangala, M. Rashid

引用次数: 0