2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)最新文献_第2页

Bearing Health Condition Monitoring using Time-Domain Acoustic Signal Features 基于时域声信号特征的轴承健康状态监测

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768779

Taruv Harshita Priva, B. J. Shah, S. Kulkarni, V. Naidu

{"title":"Bearing Health Condition Monitoring using Time-Domain Acoustic Signal Features","authors":"Taruv Harshita Priva, B. J. Shah, S. Kulkarni, V. Naidu","doi":"10.1109/temsmet53515.2021.9768779","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768779","url":null,"abstract":"Bearings are widely used in industries because of their low friction and high precision moments. As a result, they are used in almost every rotating machinery, making it essential to monitor them. Also, they are the most vulnerable part of the machine due to its often-working condition at high load and high speed. If such bearing damage goes unnoticed, it results in problems within the bearings and even affects other mechanical components. Usually, bearing damage occurs at the outer cage, inner cage, and ball mainly because of its worn-out condition due to metal-to-metal contact. Regular bearing health condition monitoring is a process to increase safety and reduce the machine's maintenance cost in time. This paper deals with the acoustic signals provided by the acoustic sensor at four different health conditions to monitor the bearings. These signals are segmented at one second to classify the data from time-domain features and compare the model performance with and without feature selection. Two prominent time-domain features, i.e., slope sign change and kurtosis of energy operator, are selected using feature selection to classify bearing health in the present work. Different machine learning algorithms such as Naive Bayes and Support vector machine was used for classification and obtained an accuracy of 99.70%, 99.69%, respectively.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122259082","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

Mobile Charge Carrier Based Modeling of 4H–21 DNTT and Structure Analysis of OTFT 基于移动电荷载波的4H-21 DNTT建模及OTFT结构分析

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768714

Shubham Dadhich, G. Mathur, A. Dwivedi

引用次数: 0

Multi-Objective Optimal Siting & Location Of Multiple Dgs In Distribution Network Using Biogeography Based Optimization (BBO) 基于生物地理优化(BBO)的配电网中多个dg的多目标优化选址

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768768

Madhu Valavala

引用次数: 0

Utilising Data From Social Media In Modelling Vector-Borne Diseases 利用来自社交媒体的数据建模媒介传播疾病

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768688

Katyayani Akella N S, Mandaar B. Pande

{"title":"Utilising Data From Social Media In Modelling Vector-Borne Diseases","authors":"Katyayani Akella N S, Mandaar B. Pande","doi":"10.1109/temsmet53515.2021.9768688","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768688","url":null,"abstract":"Robust decision-making models in healthcare for service delivery evaluation and ground situation monitoring rely on electronic healthcare records. In the absence of such data in the Indian healthcare domain, decision-making models rely on retrospective data collected through structured data collection mechanisms as a part of standard operating procedures designed for monitoring and evaluation. However, studies indicate that the use of social media can improve reporting. But this data is unstructured and requires validation. However, increasing social media adoption has enabled citizen-centric reporting of daily events in real-time. While this has enabled the service industry to achieve better customer satisfaction, there is scope for greater adoption in healthcare. The current pandemic has highlighted the significance of such real-time data by facilitating contact tracing and identifying hotspots. The enablement of end-users has ensured improved impact and outreach of the desired objectives. The paper proposes a high-level conceptual model of the use of social media in the conventional models by establishing a relationship between social media content and actual ground data collected by field healthcare workers.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127798673","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

The Role of Resilience and Human Rights in the Green and Digital Transformation of Supply Chain 弹性和人权在供应链绿色数字化转型中的作用

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768730

Hanwen Liao, Chung-Lien Pan

{"title":"The Role of Resilience and Human Rights in the Green and Digital Transformation of Supply Chain","authors":"Hanwen Liao, Chung-Lien Pan","doi":"10.1109/temsmet53515.2021.9768730","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768730","url":null,"abstract":"To make supply chains sustainable and smart, companies can use information and communication technologies to manage procurement, sourcing, conversion, logistics, and customer relationship management activities. Characterized by profit, people, and planet, the supply chain processes of creating values and managing risks are expected to be digitally transformed. Once digitized, datafied, and networked, supply chains can account for substantial progress towards sustainability. Given the lack of clarity on the concepts of resilience and human rights for the supply chain, especially with the recent advancement of social media, big data, artificial intelligence, and cloud computing, the study conducts a scoping review. To identify the size, scope, and themes, it collected 180 articles from the Web of Science bibliographic database. The bibliometric findings reveal the overall conceptual and intellectual structure, and the gaps for further research and development. The concept of resilience can be enriched, for instance, by the environmental, social, and governance (ESG) concerns. The enriched notion of resilience can also be expressed in digitized, datafied, and networked forms.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128406395","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: 3

Performance Analysis of Hyperledger Fabric based Blockchain for Traceability in Food Supply Chain 基于超级账本结构的食品供应链可追溯性区块链性能分析

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768702

Ayushi Srivastava, Yash Desai

{"title":"Performance Analysis of Hyperledger Fabric based Blockchain for Traceability in Food Supply Chain","authors":"Ayushi Srivastava, Yash Desai","doi":"10.1109/temsmet53515.2021.9768702","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768702","url":null,"abstract":"Blockchain, a decentralized technology, has found application in various sectors like banking, healthcare, energy and supply chain management. Hyperledger fabric (HLF), an open-source platform to implement blockchain technology (BKCT), is gaining widespread attention in the industries. However, the analysis of performance of platforms as the like of HLF has been done in a restricted manner in the past. The performance analysis will indicate the effectiveness of these platforms to implement BKCT. This kind of study is especially useful in the field of supply chain management. Thus, this study proposes a BKCT enabled traceability in a food supply chain and evaluates the impact of latest version of Hyperledger Fabric implementing BKCT on performance metrics such as throughput, latency and organizational scalability. To evaluate the goal of performance analysis, the tests are run on a blockchain based traceability model for a food supply chain. The results indicate that this version can support a wide range of transactions from 50 to 10,00,000 with minimum latency of 67.3 ms. This study will guide the practitioners of supply chain management in appropriate selection of a suitable blockchain platform.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117150367","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

Running a Single Instruction Execution Stream to a Massively Parallelized Computational Operations 将单个指令执行流运行到大规模并行计算操作

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768703

Nisha Agrawal, Abhishek Das, R. Pathak, M. Modani

{"title":"Running a Single Instruction Execution Stream to a Massively Parallelized Computational Operations","authors":"Nisha Agrawal, Abhishek Das, R. Pathak, M. Modani","doi":"10.1109/temsmet53515.2021.9768703","DOIUrl":"https://doi.org/10.1109/temsmet53515.2021.9768703","url":null,"abstract":"GROMACS for biochemical molecules simulations are being used extensively. GROMACS's performance is optimized over the years on various homogeneous as well as heterogeneous computing architectures. This paper focuses on the study of the behavior of Molecular Dynamics (MD) simulations using GROMACS on the PARAM Siddhi-AI system. The application performance is analyzed on CPUs (AMD EPYC) and GPUs (NVIDIA A100). For CPU-only runs, it is observed that the single-node performance is slightly better with OpenMPI when compared to threaded MPI. The combination of 16 MPI ranks with 8 OpenMP threads shows better single-node performance. The performance of multi-node CPU-only GROMACS runs increases by the factor of 1.1x with the increase in the number of nodes. For single-node GROMACS-GPU runs, all the forces (bonded, non-bonded, and PME) are offloaded to GPUs. However, in the case of multi-node GROMACS GPU runs, only bonded and non-bonded forces are offloaded to GPUs. For single-node runs, GROMACS-GPU shows ~18x better performance when compared to single-node CPU-only runs. Also for single-node runs, GROMACS-GPU performance is approximately ~3x better than that observed from accelerated GROMACS execution on 5 nodes.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125122563","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 and PCR calculation of Triangular Ring Resonator (TRR) metamaterial for wide range of applications 广泛应用的三角环谐振器(TRR)超材料的设计与PCR计算

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768746

S. Dwivedi

引用次数: 1

Masked Deep Face Recognition using ArcFace and Ensemble Learning 屏蔽深度人脸识别使用ArcFace和集成学习

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768777

A. R, V. A. Solayappan, S. T, R. K

引用次数: 1

A review on Student Performance Prediction using Educational Data mining and Artificial Intelligence 基于教育数据挖掘和人工智能的学生成绩预测研究综述

2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pub Date : 2021-12-02 DOI: 10.1109/temsmet53515.2021.9768773

Poonam S Pawar, Rajashre Jain

引用次数: 0