Day 1 Tue, September 21, 2021最新文献_第2页

Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement 基于一致性度的温度测量方法的比较分析

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-03 DOI: 10.36548/jei.2021.3.005

N. Shetty

{"title":"Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement","authors":"N. Shetty","doi":"10.36548/jei.2021.3.005","DOIUrl":"https://doi.org/10.36548/jei.2021.3.005","url":null,"abstract":"Many sports have a high risk of climatic ailments, such as hypothermia, hyperthermia, and heatstroke. The measurement of a sportsperson's body core temperature (Tc) may have an impact on their performances and it assists them to avoid injuries as well. To avoid complications like electrolyte imbalances or infections, it's essential to precisely measure the core body temperature during targeted temperature control when spontaneous circulation has returned. Previous approaches on the other hand, are intrusive and difficult to use. The usual technique, an oesophageal thermometer, was compared to a disposable non-invasive temperature sensor that used the heat flux methodology. This research indicates that, non-invasive disposable sensors used to measure core body temperature are very reliable when used for targeted temperature control after overcoming a cardiac arrest successfully. The non-invasive method of temperature measurement has somewhat greater accuracy than the invasive approach. The results of this study must be confirmed by more clinical research with various sensor types to figure out if the bounds of agreement could be increased. This will ensure that the findings are accurate based on core temperature.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82439529","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

Image Augmentation based on GAN deep learning approach with Textual Content Descriptors 基于文本内容描述符的GAN深度学习图像增强方法

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-01 DOI: 10.36548/jitdw.2021.3.005

Judy Simon

{"title":"Image Augmentation based on GAN deep learning approach with Textual Content Descriptors","authors":"Judy Simon","doi":"10.36548/jitdw.2021.3.005","DOIUrl":"https://doi.org/10.36548/jitdw.2021.3.005","url":null,"abstract":"Computer vision, also known as computational visual perception, is a branch of artificial intelligence that allows computers to interpret digital pictures and videos in a manner comparable to biological vision. It entails the development of techniques for simulating biological vision. The aim of computer vision is to extract more meaningful information from visual input than that of a biological vision. Computer vision is exploding due to the avalanche of data being produced today. Powerful generative models, such as Generative Adversarial Networks (GANs), are responsible for significant advances in the field of picture creation. The focus of this research is to concentrate on textual content descriptors in the images used by GANs to generate synthetic data from the MNIST dataset to either supplement or replace the original data while training classifiers. This can provide better performance than other traditional image enlarging procedures due to the good handling of synthetic data. It shows that training classifiers on synthetic data are as effective as training them on pure data alone, and it also reveals that, for small training data sets, supplementing the dataset by first training GANs on the data may lead to a significant increase in classifier performance.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90273329","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

Ethereum and IOTA based Battery Management System with Internet of Vehicles 基于以太坊和IOTA的车联网电池管理系统

Day 1 Tue, September 21, 2021 Pub Date : 2021-11-01 DOI: 10.36548/jucct.2021.3.006

R. Kanthavel

引用次数: 0

Enhancing the Speed of Response in Digital Money Transactions using Distributed Blockchain System 利用分布式区块链系统提高数字货币交易的响应速度

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-29 DOI: 10.36548/jitdw.2021.3.004

J. Chen, Lu-Tsou Yeh

{"title":"Enhancing the Speed of Response in Digital Money Transactions using Distributed Blockchain System","authors":"J. Chen, Lu-Tsou Yeh","doi":"10.36548/jitdw.2021.3.004","DOIUrl":"https://doi.org/10.36548/jitdw.2021.3.004","url":null,"abstract":"Waiting for anything is undesirable by most of the human beings. Especially in the case of digital money transactions, most of the people may have doubtful thoughts on their mind about the success rate of their transactions while taking a longer processing time. The Unified Payment Interface (UPI) system was developed in India for minimizing the typographic works during the digital money transaction process. The UPI system has a separate UPI identification number of each individual consisting of their name, bank name, branch name, and account number. Therefore, sharing of account information has become easier and it reduces the chances of typographic errors in digital transaction applications. Sharing of UPI details are also made easy and secure with Quick Response (QR) code scanning methods. However, a digital transaction like UPI requires a lot of servers to be operated for a single transaction same as in National Electronic Fund Transfer (NEFT) and Immediate Payment Services (IMPS) in India. This increases the waiting time of digital transactions due to poor server communication and higher volume of payment requests on a particular server. The motive of the proposed work is to minimize the server communications by employing a distributed blockchain system. The performance is verified with a simulation experiment on BlockSim simulator in terms of transaction success rate and processing time over the traditional systems.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86164782","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 Extended Hamming Code Technique Encryption for Audio Signals by Double Code Error Prediction 基于双码误差预测的扩展汉明码技术音频信号加密设计

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-27 DOI: 10.36548/jitdw.2021.3.003

R. Asokan, T. Vijayakumar

{"title":"Design of Extended Hamming Code Technique Encryption for Audio Signals by Double Code Error Prediction","authors":"R. Asokan, T. Vijayakumar","doi":"10.36548/jitdw.2021.3.003","DOIUrl":"https://doi.org/10.36548/jitdw.2021.3.003","url":null,"abstract":"Noise can scramble a message that is sent. This is true for both voicemails and digital communications transmitted to and from computer systems. During transmission, mistakes tend to happen. Computer memory is the most commonplace to use Hamming code error correction. With extra parity/redundancy bits added to Hamming code, single-bit errors may be detected and corrected. Short-distance data transmissions often make use of Hamming coding. The redundancy bits are interspersed and evacuated subsequently when scaling it for longer data lengths. The new hamming code approach may be quickly and easily adapted to any situation. As a result, it's ideal for sending large data bitstreams since the overhead bits per data bit ratio is much lower. The investigation in this article is extended Hamming codes for product codes. The proposal particularly emphasises on how well it functions with low error rate, which is critical for multimedia wireless applications. It provides a foundation and a comprehensive set of methods for quantitatively evaluating this performance without the need of time-consuming simulations. It provides fresh theoretical findings on the well-known approximation, where the bit error rate roughly equal to the frame error rate times the minimal distance to the codeword length ratio. Moreover, the analytical method is applied to actual design considerations such as shorter and punctured codes along with the payload and redundancy bits calculation. Using the extended identity equation on the dual codes, decoding can be done at the first instance. The achievement of 43.48% redundancy bits is obtained during the testing process which is a huge proportion reduced in this research work.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87853721","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 Smart Climatic Control Strategy for Optimizing Vegetable Crop Cultivation in Greenhouse using FBANN 利用fban优化温室蔬菜作物栽培的智能气候控制策略

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-25 DOI: 10.36548/jitdw.2021.3.002

S. Shakya

引用次数: 0

Design of Data Mining Techniques for Online Blood Bank Management by CNN Model 基于CNN模型的在线血库管理数据挖掘技术设计

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-20 DOI: 10.36548/jucct.2021.3.005

I. Jacob, P. Darney

{"title":"Design of Data Mining Techniques for Online Blood Bank Management by CNN Model","authors":"I. Jacob, P. Darney","doi":"10.36548/jucct.2021.3.005","DOIUrl":"https://doi.org/10.36548/jucct.2021.3.005","url":null,"abstract":"A blood bank is the organisation responsible for storing blood to transfuse it to the patients in need. The primary goal of a blood bank is to be reliable and ensure that patients get the relevant non-toxic blood to avoid transfusion-related complications since blood is a critical medicinal resource. It is difficult for the blood banks to offer high levels of precision, dependability, and automation in the blood storage and transfusion process if blood bank administration includes many human processes. This research framework is proposing to maintain blood bank records using CNN model classification method. In the pre-processing of CNN method, the datasets are tokenized and set the donor’s eligibility. It will make it easier for regular blood donors to donate regularly to charitable people and organizations. A few machine learning techniques offer the automated website updation. Jupyter note book has been used to analyze the dataset of blood donors using decision trees, neural networks, and von Bays techniques. The proposed method operates online through a website. Moreover, the donor's eligibility status with gender, body mass index, blood pressure level, and frequency of blood donations is also maintained. Finally, the comparison of different machine learning algorithms with the suggested framework is tabulated.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85920284","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

Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method 基于涡流缺陷自动识别的支持向量机分类器管道气体泄漏检测

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-18 DOI: 10.36548/jucct.2021.3.004

R. Sharma

引用次数: 10

Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm 使用混合强化学习和图卷积神经网络算法的晶体管尺寸

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-18 DOI: 10.36548/jei.2021.3.004

P. Karthigaikumar

引用次数: 1

Design of WhatsApp Image Folder Categorization Using CNN Method in the Android Domain 在Android域使用CNN方法对WhatsApp图像文件夹进行分类的设计

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-16 DOI: 10.36548/jucct.2021.3.003

R. Asokan, T. Vijayakumar

{"title":"Design of WhatsApp Image Folder Categorization Using CNN Method in the Android Domain","authors":"R. Asokan, T. Vijayakumar","doi":"10.36548/jucct.2021.3.003","DOIUrl":"https://doi.org/10.36548/jucct.2021.3.003","url":null,"abstract":"Recently, the use of different social media platforms such as Twitter, Facebook, and WhatsApp have increased significantly. A vast number of static images and motion frame pictures posted on such platforms get stored in the device folder making it critical to identify the social network of the downloaded images in the android domain. This is a multimedia forensic job with major cyber security consequences and is said to be accomplished using unique traces contained in picture material (SNs). Therefore, this proposal has been endeavoured to construct a new framework called FusionNet to combine two well-established single shared Convolutional Neural Networks (CNN) to accelerate the search. Moreover, the FusionNet has been found to improve classification accuracy. Image searching is one of the challenging issues in the android domain besides being a time-consuming process. The goal of the proposed network's architecture and training is to enhance the forensic information included in the digital pictures shared on social media. Furthermore, several network designs for the categorization of WhatsApp pictures have been compared and this suggested method has shown better performance in the comparison. The proposed framework's overall performance was measured using the performance metrics.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83309826","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: 6