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

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

Adaptive, AI-based automated knee physiotherapy system 自适应，基于人工智能的自动膝关节物理治疗系统

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.052

Sridhar Kashyap, Vasuki Venkatesh, M.K. Pushpa, Sidharth Narasimhan, Vrushali Chittaranjan

{"title":"Adaptive, AI-based automated knee physiotherapy system","authors":"Sridhar Kashyap, Vasuki Venkatesh, M.K. Pushpa, Sidharth Narasimhan, Vrushali Chittaranjan","doi":"10.1016/j.gltp.2021.08.052","DOIUrl":"10.1016/j.gltp.2021.08.052","url":null,"abstract":"<div><p>The paper is introduced with a brief survey about existing causes for Knee ailments followed by conventional treatments for them. Studies show that ailments like Osteo Arthritis (OA) of the Knee and Knee related injuries cause chronic pain and stiffness to the knee joint. This affects the range of motion of the leg. The severity of this is highly dependent on the age and BMI (Body-mass Index) of the patient. Further, a contrast between conventional Physiotherapy Machines (CPM) and the proposed model is established. The paper proposes an alternative to the existing CPMs. A cost-effective system capable of diagnosing the severity of the knee using machine learning models and provide appropriate Automated physiotherapy. Using gyroscopic data and a predefined questionnaire, a 1D-CNN is trained. An accuracy of 90.21% was obtained from the machine learning model. The accuracy of the proposed model exceeded the accuracy of some state-of-the-art algorithms in determining the severity of the affected knee by utilizing gyroscopic parameters and with the least computational cost.</p><p>© 2019 The Authors. Published by Elsevier B.V.</p><p>This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/)</p><p>Peer-review under responsibility of the scientific committee of the 8th International Conference on Through-Life Engineering Service – TESConf 2019.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 484-491"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85446462","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

Comparative performance analysis for speech digit recognition based on MFCC and vector quantization 基于MFCC和矢量量化的语音数字识别性能比较分析

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.013

Datta Rakshith KS , Rudresh MD , Shashibhushsan G

{"title":"Comparative performance analysis for speech digit recognition based on MFCC and vector quantization","authors":"Datta Rakshith KS , Rudresh MD , Shashibhushsan G","doi":"10.1016/j.gltp.2021.08.013","DOIUrl":"10.1016/j.gltp.2021.08.013","url":null,"abstract":"<div><p>The main goal of this research work is to experimentally verify the importance of spoken Speech digit signal in person authentication in controlling applications. The motivation is based on the earlier work of demonstrating the feasibility of using spoken speech digit utterance signal for person security and controlling applications. This paper work also discusses the. Comparative analysis of the cepstral analysis with the mel frequency cepstral coefficient (MFCC) by using vector quantization feature matching technique. All digits speech digit from zero utterance to nine digit utterance data has been collected for 15 subjects in three different sessions. For the thus collected spoken speech digit data, the feature extraction techniques such as cepstral and MFCC were applied to extract the Cepstral and MFCC features. In the next stage of work vector quantization was used for feature matching for both Cepstral and MFCC features and performance were recorded for two different session data. By comparing the performance of Cepstral plus VQ with the MFCC plus VQ, we can conclude that feature extraction technique MFCC gives the better performance than cepstral feature for spoken digit utterance data.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 513-519"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85639383","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: 11

Sentimental analysis of Indian regional languages on social media 印度地区语言在社交媒体上的情感分析

Global Transitions Proceedings Pub Date : 2021-11-01 DOI: 10.1016/j.gltp.2021.08.039

Kakuthota Rakshitha, Ramalingam H M, M Pavithra, Advi H D, Maithri Hegde

{"title":"Sentimental analysis of Indian regional languages on social media","authors":"Kakuthota Rakshitha, Ramalingam H M, M Pavithra, Advi H D, Maithri Hegde","doi":"10.1016/j.gltp.2021.08.039","DOIUrl":"10.1016/j.gltp.2021.08.039","url":null,"abstract":"<div><p>The idea of sentimental analysis is getting attention for the last few years. The key challenges in a sentimental analysis are the collection of huge data from the sources, applying appropriate algorithms or techniques, and classifying them into different sentiments. In this fast-spreading internet world, social media provides a platform for individuals to express their sentiments. With the changing ways of things in different areas in our day-to-day life, the way of expressing one's view or opinion has also changed. People tend to express themselves in their regional language or in a way convenient to them. These individual reviews play an important role in decision-making. With the huge amount of data that is obtained on social media, it is of no use if the opinions are not classified based on their sentiments. This paper provides information about the tweets posted by the customer are positive, negative, or neutral. For this the proposed model first scrape the tweets from Twitter by using Twitter APIs, then later by using text blob, the customer reviews are given different sentiment scores and classify them as positive, negative, or neutral by using text classification model.</p><p>This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/)</p><p>Peer-review under responsibility of the scientific committee of the 8th International Conference on Through-Life Engineering Service – TESConf 2019.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 414-420"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90688845","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: 18

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