2022 6th International Conference on Electronics, Communication and Aerospace Technology最新文献_第9页

A Blockchain-based Document Verification Model in Freshers Hiring Process 新生招聘过程中基于区块链的文档验证模型

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009358

A. V. Kumar, G. Vyshnavi, P. Harshini, Papareddy Sushanth Reddy

{"title":"A Blockchain-based Document Verification Model in Freshers Hiring Process","authors":"A. V. Kumar, G. Vyshnavi, P. Harshini, Papareddy Sushanth Reddy","doi":"10.1109/ICECA55336.2022.10009358","DOIUrl":"https://doi.org/10.1109/ICECA55336.2022.10009358","url":null,"abstract":"A quick growth of information sharing and transferring has been observed recently. Everything is getting digitized, and everyone requires a simple and straightforward method. As a result, the number of fake documents generated for job applications is increasing, and checking all the documents manually is not a good option as it takes a lot of time. Therefore, digitizing documents is becoming an increasingly popular option for companies and individuals as it is the most secure and least time-consuming way of verifying documents. As Blockchain is a decentralized system that guarantees the protection of data kept in it, this article proposes a solution based on Federated Blockchain technology that allows specific organizations to submit candidates' original documents. It validates the student's submitted document hash value by comparing the existing cryptographic hash in the Blockchain. SHA-512 is used to generate the hash values for the documents. This technique is incredibly efficient, consumes less time, and is less expensive to execute all types of verifications.","PeriodicalId":356949,"journal":{"name":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450384","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

Intelligent Attitude Analysis Algorithm based on Computer Somatosensory Technology 基于计算机体感技术的智能姿态分析算法

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009542

Chen Ping

引用次数: 0

Low Cost Analog EEG amplifier for Healthcare Applications 医疗保健应用的低成本模拟脑电图放大器

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009370

Jerin Joel J, Jefina Jacklin J, R. J. Bharathi, Augustine E, Ajay Sairam N

引用次数: 0

Firefly Optimization with Bidirectional Gated Recurrent Unit for COVID-19 Diagnosis on Chest Radiographs 基于双向门控复发单元的萤火虫优化胸片COVID-19诊断

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009192

J. Amalraj, B. Suchitra, Harshad Naranbhai Prajapati, M. Shrimali, R. Gnanakumaran, N. Girdharwal

{"title":"Firefly Optimization with Bidirectional Gated Recurrent Unit for COVID-19 Diagnosis on Chest Radiographs","authors":"J. Amalraj, B. Suchitra, Harshad Naranbhai Prajapati, M. Shrimali, R. Gnanakumaran, N. Girdharwal","doi":"10.1109/ICECA55336.2022.10009192","DOIUrl":"https://doi.org/10.1109/ICECA55336.2022.10009192","url":null,"abstract":"The epidemic of coronavirus disease 2019 (COVID-19) has caused an ever-growing demand for treatment, testing, and diagnosis. Chest x-rays are a fast and low-cost test that can detect COVID19 but chest imaging is not a first-line test for COVID19 because of lower diagnosis performance and confounding with other viral pneumonia. Current studies using deep learning (DL) might assist in overcoming these issues as convolution neural networks (CNN) have illustrated higher performance of COVID19 diagnoses at the earlier phase. This study develops a new Firefly Optimization with Bidirectional Gated Recurrent Unit (FFO-BGRU) for COVID19 diagnoses on Chest Radiographs. The main intention of the FFO-BGRU technique lies in the recognition and classification of COVID-19 on Chest X-ray images. At the initial stage, the presented FFO-BGRU technique applies Wiener filtering (WF) technique for noise removal process. Followed, the hyperparameter tuning process takes place by using FFO algorithm and SqueezeNet architecture is applied for feature extraction. Lastly, the BGRU model is applied for COVID19 recognition and classification. A wide range of simulations were performed to demonstrate the betterment of the FFO-BGRU model. The comprehensive comparison study highlighted the improved outcomes of the FFO-BGRU algorithm over other recent approaches.","PeriodicalId":356949,"journal":{"name":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127945262","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

Ensemble Learning Model for Object Detection in Image and Videos 图像和视频中目标检测的集成学习模型

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009128

ChandraRekha Rayapureddy, G. Jayalakshmi, Bade Kranthi Priya, Divyasri Munugumati

引用次数: 0

Feature Selection and Classification using a Positive Learning Approach Focused on Graph and Neural Network 基于图和神经网络的正面学习方法的特征选择和分类

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009427

A. Sangeetha Devi, A. Shanmugapriya, A. Kalaivani

{"title":"Feature Selection and Classification using a Positive Learning Approach Focused on Graph and Neural Network","authors":"A. Sangeetha Devi, A. Shanmugapriya, A. Kalaivani","doi":"10.1109/ICECA55336.2022.10009427","DOIUrl":"https://doi.org/10.1109/ICECA55336.2022.10009427","url":null,"abstract":"Real-world knowledge is represented by a knowledge graph that provides assistance for various applications built on the basis of artificial intelligence. Awareness of the neighbourhood is obtained from the individuals and relationships of the Knowledge Graph. High-dimensional data analysis is a difficult task in many applications and this article discusses the dimensionality by specifying a limited collection of features that implies high-dimensional data without visible or substantial data loss. An unsupervised learning approach based on learning that uses the neural network principle and learns the features using the graph. The Positive Feature Selection approach using the Neural Network (PFSNN) approach in this paper defines features using a graph where the classification is carried out by the NN process and analyses the output of the proposed system. The efficiency of the PFSNN is evaluated by contrasting it with existing classification methods and using different datasets. Performance is measured using the classification performance metrics and it is defined from the observation that the proposed PFSNN algorithm has the best outcome.","PeriodicalId":356949,"journal":{"name":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114144479","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

Blockchain based Effective Ledger and Decentralization in Healthcare System 基于区块链的医疗保健系统有效分类账与分权

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009365

Komal T, K. S, Meenalakshmi S, M. R

{"title":"Blockchain based Effective Ledger and Decentralization in Healthcare System","authors":"Komal T, K. S, Meenalakshmi S, M. R","doi":"10.1109/ICECA55336.2022.10009365","DOIUrl":"https://doi.org/10.1109/ICECA55336.2022.10009365","url":null,"abstract":"On the subject of a decentralized open healthcare network, healthcare blockchains provide a novel way to information depository, transaction execution, along with trust building for data integration and sharing. In spite of that, problems relating to safety and solitude are the major focusing concerns in terms of working with technology like blockchain for sectors like healthcare. However, blockchain technology for healthcare has acquired widespread interest and recognition in business, administration, and education. This composition targets on the safety protocols and solitude concerns for the exchange of healthcare information via blockchain and examines the threats and obligation more in detail. Privacy, as well as methodologies and technical solutions. This research study initially reviews the prerequisites and the required security and privacy features to install a healthy blockchain and share electronic health data. Furthermore, this research study confers about the function involved in blockchain, including anonymous signatures, attribute-based encryption, proof-of-nothing, and verification techniques to secure smart contracts. This research study is finally concluded by discussing about other potential use cases in medical sector. This study will provide technical and insightful information on healthcare management system using blockchain technology to efficiently deal with the safety protocols, privacy concepts, threats, prerequisite as well as developments for healthcare professionals, healthcare providers, policy makers and health service developers.","PeriodicalId":356949,"journal":{"name":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","volume":"1245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127434049","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 Review on Early Prediction of Pneumonia Using Deep Learning, Convolutional Neural Network and X-Ray Images 基于深度学习、卷积神经网络和x射线图像的肺炎早期预测研究进展

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009389

Hari Krishna Marrapu, B. Maram, Smritilekha Das, T. Daniya

引用次数: 0

Orbital Angular Momentum Mode Propagation in a Hexagonal-Ring Core Spiral PCF 六角形环核螺旋PCF的轨道角动量模式传播

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009239

Amogh A. Dyavangoudar, Avneesh Sharma, A. Saharia, Y. Ismail, A. Bourdine, M. Tiwari

{"title":"Orbital Angular Momentum Mode Propagation in a Hexagonal-Ring Core Spiral PCF","authors":"Amogh A. Dyavangoudar, Avneesh Sharma, A. Saharia, Y. Ismail, A. Bourdine, M. Tiwari","doi":"10.1109/ICECA55336.2022.10009239","DOIUrl":"https://doi.org/10.1109/ICECA55336.2022.10009239","url":null,"abstract":"This research work proposes a photonic crystal fiber in which the air holes are structured in the shape of spiral. The material selected for background is fused silica. Operating wavelength is selected as 1550 nm. Hence, the refractive index of fused silica (1.444) is computed using Sellmeier coefficients. Finite Element Analysis is used for modal analysis and mode propagation in the fiber is studied. TE0,1, HE2,1, and TE0,1 are identified. Further OAM mode propagation is studied and 2 OAM modes have successfully been shown to propagate. Multiple fiber parameters are further studied for TE0,1 mode. Wavelength dependent effective refractive index is studied using Sellmeier coefficients and is observed to be monotonically decreasing with wavelength. In the wavelength range from 0.5-2.0µm, an all-anomalous dispersion is achieved for the PCF with values ranging from ~209 ps(km-nm)−1 to ~42 ps(km-nm)−1. Imaginary refractive index dependent confinement loss is also studied. With values ranging from 1.87×10−11 m2 at 0.5µm to 2.31×10−11 m2 at 2µm, the effective area of the PCF is found to be increasing with wavelength. Nonlinearity is vastly influenced by effective area due to their inverse nature. Hence, nonlinearity is observed to be increasing in the wavelength window. Highest and lowest values achieved are 18.8 (Wkm)−1 and 3.79 (Wkm)−1","PeriodicalId":356949,"journal":{"name":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125759377","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

Comparative study of Landslide Identification using different optimization Algorithms 不同优化算法在滑坡识别中的比较研究

2022 6th International Conference on Electronics, Communication and Aerospace Technology Pub Date : 2022-12-01 DOI: 10.1109/ICECA55336.2022.10009178

Lijesh L, G. Saroja

{"title":"Comparative study of Landslide Identification using different optimization Algorithms","authors":"Lijesh L, G. Saroja","doi":"10.1109/ICECA55336.2022.10009178","DOIUrl":"https://doi.org/10.1109/ICECA55336.2022.10009178","url":null,"abstract":"Landslide is a complicated phenomenon related to land movement that cause heavy human loss, ecological imbalance and structural damages. This complicated phenomenon is commonly seen in mountainous regions due to gravitational mass movement and shear strength decrement leading to geological disaster. Here, human activities include excavation, digging, and deforestation; whereas natural calamities includeheavy rainfall, volcanic eruptions and earthquake. Landslide is ranked third among disaster types, as it causes monetary loss to billions of dollars along human loss to millions. Hence, it is compulsory needed to identify landslide to avoid losses in its earlier stage itself. To identify these losses, researchers have established various new methods by utilizing optimization algorithms. The aim of this research is to justify and compare various optimization algorithms for the identification of landslide. The comparison analysis for landslide identification is done with five algorithms, such as Competitive S warm Optimizer (CSO)-basedDeepGenerative Adversarial Network (Deep GAN), Tunicate Swarm Algorithm (TSA)-based deep GAN, Particle Swarm Optimization (PSO) algorithm-based deep GAN, Water Cycle Algorithm (WCA)-based deep GAN, and Water Cycle Particle Swarm Optimization (WCPSO)-based GAN. However, WCPSO is derived by the hybridization of WCA and PSO. From the comparison, the WCPSO exhibits maximum values of accuracy, specificity, and sensitivity with 0.897, 0.857, and 0.915.","PeriodicalId":356949,"journal":{"name":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128125757","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