Global Transitions Proceedings最新文献_第8页

Survey on application programming interfaces in software defined networks and network function virtualization 软件定义网络与网络功能虚拟化应用编程接口研究综述

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.018

S.M. Hari Krishna, Rinki Sharma

引用次数: 6

Block chain based agricultural supply chain-A review 基于区块链的农业供应链研究进展

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.041

Harshitha M S, Shashidhar R, Roopa M

引用次数: 8

Comparative study analysis of practical EEG sensors in medical diagnoses 实用脑电图传感器在医学诊断中的比较研究分析

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.009

Raju Hajare , Sanjana Kadam

引用次数: 6

Protection of data using image watermarking technique 利用图像水印技术保护数据

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.035

Sowmya S, Sahana Karanth, Sharath Kumar

引用次数: 2

Contemporary secured target locality in wireless sensor networks 当代无线传感器网络中的安全目标局部性

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.023

Venkatesh Shankar

引用次数: 1

Performance enhancement of dual axis solar tracker system for solar panels using proteus ISIS 7.6 software package 利用Proteus ISIS 7.6软件包增强太阳能帆板双轴跟踪系统性能

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.049

Prajakta Pawar, Priyanka Pawale, Tanuja Nagthane, Mohan Thakre, Nayana Jangale

{"title":"Performance enhancement of dual axis solar tracker system for solar panels using proteus ISIS 7.6 software package","authors":"Prajakta Pawar, Priyanka Pawale, Tanuja Nagthane, Mohan Thakre, Nayana Jangale","doi":"10.1016/j.gltp.2021.08.049","DOIUrl":"10.1016/j.gltp.2021.08.049","url":null,"abstract":"<div><p>In this article, a standalone solar tracking system is intended and successfully synchronized using proteus 7.6 ISIS. Best at instantly aligning a solar panel with the position of the sun, resulting in a 40% increase in efficiency. A low-cost solar tracking detector is being used to rotate the solar panel paired to the motor at such a specific angle to rotate 180°s in 8 steps per day with better accuracy. A microcontroller (Atmega3285P) is used as a control unit, and ADC ports are used to interconnect sensor units. To interconnect a solar array, the motor driver ULN 293D is also used to rotate the solar panel at the highest solar power angle. The modeling is performed in two ways, using four LDRs and eight LDRs, and the results of both are measured. The simulation and analysis results show that the maximum current drawn by the solar tracking sensor is less than 0.5 mA. “Proteus 7.6 ISIS” and “Arduino UNO” and “Code Vision AVR” are used to write the program code and to burn over Atmega3285P for parameters estimation.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 455-460"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77876176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Unsupervised Aspect Extraction Algorithm for opinion mining using topic modeling 基于主题建模的意见挖掘无监督方面提取算法

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.005

Azizkhan F Pathan , Chetana Prakash

{"title":"Unsupervised Aspect Extraction Algorithm for opinion mining using topic modeling","authors":"Azizkhan F Pathan , Chetana Prakash","doi":"10.1016/j.gltp.2021.08.005","DOIUrl":"10.1016/j.gltp.2021.08.005","url":null,"abstract":"<div><p>With the massive use of electronic gadgets and the developing fame of web-based media, a great deal of text information is being produced at the rate never observed. It is not feasible for people to pursue all information produced and discover what is being investigated in their area of interest. To determine topics in large textual documents Topic modeling is used. Topic Modeling Algorithms are Unsupervised Machine Learning approaches which are widely used and have proven to be successful in the area of Aspect-based Opinion Mining to extract ‘latent’ topics, which are aspects of interest. In this paper, the approaches that are widely used for topic modeling are examined and compared to find their importance in detecting topics based on metrics such as Perplexity and Coherence. As a result, Latent Dirichlet Allocation is a good topic modeling algorithm compared to Latent Semantic Analysis and Hierarchical Dirichlet Process for aspect extraction process in aspect-based opinion mining. Also, we have proposed an unsupervised aspect extraction algorithm based on topic models for Aspect-based Opinion mining.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 492-499"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77974404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

ASD classification for children using deep neural network 基于深度神经网络的儿童ASD分类

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.042

Ashima Sindhu Mohanty , Priyadarsan Parida , Krishna Chandra Patra

引用次数: 3

Site reliability engineering for IOS mobile application in small-medium scale industries 中小型行业IOS移动应用的站点可靠性工程

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.065

N Kavyashree , Dr. Supriya M C , Dr. Lokesh M R

{"title":"Site reliability engineering for IOS mobile application in small-medium scale industries","authors":"N Kavyashree , Dr. Supriya M C , Dr. Lokesh M R","doi":"10.1016/j.gltp.2021.08.065","DOIUrl":"10.1016/j.gltp.2021.08.065","url":null,"abstract":"<div><p>Software reliability is one and only the standard used to calculate the excellence of a software system. In this situation, we suggest a method to forecast software reliability in the primary creation of any process growth phases since from the designing stage only. Software mobile application has remained a significant tool in our lifetime, and several small-medium scale software progress companies capitalize the substantial resources to mark accessible prospects. The landscape of mobile atmospheres varies as of server environments owing to various issues, by means of the net, liveliness, battery-operated, and compatibility. Estimating and forecasting mobile application reliability remain the actual contests as of the variety of the mobile situations in which the applications are used, and the absence of widely available fault data. In addition, error information is optionally given in to the end-users. Hence, in what way to estimate reliability of mobile software application has remained more and more significant. In this paper, site reliability engineering (SRE) for mobile application is proposed for the reliability of software and is taken as a case study. Their failure is copied back to the exact features of mobile application is useful and powerful.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 137-144"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88374233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Debunking health fake news with domain specific pre-trained model 揭穿健康假新闻与领域特定的预训练模型

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.038

Santoshi Kumari, Harshitha K Reddy, Chandan S Kulkarni, Vanukuri Gowthami

{"title":"Debunking health fake news with domain specific pre-trained model","authors":"Santoshi Kumari, Harshitha K Reddy, Chandan S Kulkarni, Vanukuri Gowthami","doi":"10.1016/j.gltp.2021.08.038","DOIUrl":"10.1016/j.gltp.2021.08.038","url":null,"abstract":"<div><p>During this covid pandemic it is clearer than ever how much health misinformation effects. It is much easier now to publish health related articles online without validation, these articles are shared across social media contributing to the spread of health fake news. This Health fake news are spread with intent to damage image of person or product, to increase sells of a product or to promote a product. In recent research papers, many useful health misinformation detection models use BERT (Bidirectional Encoder Representations from Transformers) which is pretrained on unlabeled data extracted from English Wikipedia and book corpus and are mostly dealt with health misinformation on social media. Therefore, a self - ensemble SCIBERT (Scientific BERT) based model that makes use of domain specific word embeddings is proposed for detection of health misinformation specifically in news which is less explored and a dataset combining existing FakeHealth dataset and custom dataset that contains health articles scraped from news fact checking website Snopes.com. Classification results exhibits that the proposed model provides weighted F1 score of 0.715.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 267-272"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79537801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4