2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第10页

Iot Enabling of Vacuum Heat Treatment Chambers for Data Acquisition and Analytics 物联网实现真空热处理室的数据采集和分析

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819829

M. Haripriya, S. Saravanan, Rejul M

{"title":"Iot Enabling of Vacuum Heat Treatment Chambers for Data Acquisition and Analytics","authors":"M. Haripriya, S. Saravanan, Rejul M","doi":"10.1109/ICCMC.2019.8819829","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819829","url":null,"abstract":"The Industrial Internet of Things capitalize application of sensors in getting real time data through computers, cloud servers for transformational business outcomes for Industrial applications. Some of the key benefits of Industrial Internet of Things are to reduce human errors, manual labor work, costs, time & money. We also cannot forget the possible underpinnings of IIoT in quality control and maintenance. The heat treatment industry is at turning point, in which digital technology has the capacity to unlock new ways of managing process variables and enhance productivity in vacuum heat treatment operations. Vacuum heat treatment (VHT) plays an important role in capacitor production. During the heat treatment process the zinc element has to undergo certain process within VHT chamber for strengthening the element. The temperature should be maintained and controlled in a proper proportion during capacitor production. By monitoring the live temperature, errors like temperature increase and decrease can be identified and predictive maintenance can be done. In this work, we developed a system to monitor the temperature levels in VHT especially the coolant pipe which is directed to VHT. The developed system uses pt100 sensors to monitor the live temperature of the coolant pipe through a gateway using the PLC. This overall process is done in real time at Schneider Electric, Bangalore. The time taken to complete one process takes 72 hours. The temperature values collected during the process is stored in database created using MySql and then transferred to cloud for analysis to do predictive maintenances.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131671449","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

An Analysis of Li-Fi based Prevalent Automated Billing Systems in Shopping Malls 基于Li-Fi的购物中心流行自动计费系统分析

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819693

Himani Pangasa, Shipra Aggarwal

引用次数: 9

Implementation of Data Collection Algorithm based on TDA in WSN Mobile Elements 基于TDA的无线传感器网络移动单元数据采集算法的实现

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819810

Sadaf Anjum, S. Shrivastava

引用次数: 0

A Review of Chaos based Image Encryption 基于混沌的图像加密技术综述

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819860

Kanika Suneja, Shelza Dua, M. Dua

引用次数: 22

Design and Implementation of an Image Classifier using CNN 基于CNN的图像分类器的设计与实现

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819765

Sarthak Haldar

引用次数: 0

Image Steganography Using the Fusion of Quantum Computation and Wavelet Transformation 基于量子计算和小波变换融合的图像隐写

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819681

Juned Ahmed Mazumder, K. Hemachandra

引用次数: 2

Background-modelling techniques for foreground detection and Tracking using Gaussian Mixture Model 基于高斯混合模型的前景检测与跟踪的背景建模技术

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819825

Meghana R K, Yojan Chitkara, A. Mohana

{"title":"Background-modelling techniques for foreground detection and Tracking using Gaussian Mixture Model","authors":"Meghana R K, Yojan Chitkara, A. Mohana","doi":"10.1109/ICCMC.2019.8819825","DOIUrl":"https://doi.org/10.1109/ICCMC.2019.8819825","url":null,"abstract":"Background Modelling and Foreground detection in sports has been achieved by cleverly developing a model of a background from a video by deducing knowledge from frames and comparing this model to every subsequent frame and subtracting the background region from it, hence leaving the foreground detected. This output from GMM background subtraction is fed into the feature extraction algorithm, which segregates the players based on teams. By extracting information of primary colors from each frame, the design of the algorithm based on the color of preference is done. Tracking algorithms Kalman and extended Kalman Filters help to predict and correct the location of players and in correctly estimating their trajectory on the field. Challenges such as shadowing, occlusions and illumination changes are addressed. The designed algorithms are tested against a set of performance parameters for the following datasets (Norway and FIFA) using MATLAB (2017b) and the inferences are respectively made. Object detection, motion detection and Kalman filter algorithms are implemented and the observed results are 100%, 84% and 100% accuracy respectively. With the results quantification and performance analysis, it is observed that with the decrease in contrast between player jerseys a decrease in detection accuracy occurs and with players crowded regions on the field and occluded players a decrease in tracking accuracy was observed.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217151","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: 19

Designing a Sales Prediction Model in Tourism Industry and Hotel Recommendation Based on Hybrid Recommendation 基于混合推荐的旅游行业及酒店销售预测模型设计

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819792

Piyush Anil Bodhankar, Rajesh K. Nasare, G. Yenurkar

引用次数: 3

Providing Cyber Security using Artificial Intelligence – A survey 利用人工智能提供网络安全-一项调查

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819719

Sagar B.S, N. S, Nithin Kashyap, Sachin D.N

引用次数: 14

Extension of the Lexicon Algorithm for Sarcasm Detection 反讽检测词典算法的扩展

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2019-03-01 DOI: 10.1109/ICCMC.2019.8819845

Joseph Herve Balanke, H. V

引用次数: 1