2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)最新文献_第10页

Intelligent Event Finder and Management System 智能事件查找和管理系统

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640719

P. Afsar, M. Faizudheen, Mohammed Jasim Anikkadan, P. Mohammed Rashad, U. Mohammed Shabeer

{"title":"Intelligent Event Finder and Management System","authors":"P. Afsar, M. Faizudheen, Mohammed Jasim Anikkadan, P. Mohammed Rashad, U. Mohammed Shabeer","doi":"10.1109/I-SMAC52330.2021.9640719","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640719","url":null,"abstract":"An event can be a social or life cycle event which includes, engagement, wedding or an education or career based events like workshops, seminars and so on. Events are everywhere, either conducted in physical mode or often in virtual mode. Finding a perfect event is always important as there will be multiple events scheduled within the scope of a single topic. This can be challenging at times as there are no perfect platforms which can give you the perfect selection for an event. If n number of events are available for the user there is no way to select the right event. So in this paper intelligent event finder management system helps people to find the proper event according to their convenience. There are multiple stages the event organizers needs to go on, such as registration, ticketing and so on. Doing all these processes manually takes a lot of time and effort and often times people will be tempted to cancel the entire event just because of these tedious tasks. And hence, the system will give all the event organizers a platform where they can create and their events, accept registrations, payments, on boarding and so on. Every process gets automated through the platform and the organizers can concentrate on the event agenda rather than the concentrating on all other time consuming tasks.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121466286","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

Big-Data Based English-Chinese Corpus Collection and Mining and Machine Translation Framework 基于大数据的英汉语料库采集与挖掘与机器翻译框架

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640811

Han Guo, Liu Jiang

引用次数: 0

Global Warming Analysis and Prediction Using Data Science 利用数据科学分析和预测全球变暖

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640944

M. Purushotham Reddy, A. Aneesh, K. Praneetha, S. Vijay

引用次数: 5

Big Data: An opportunity and Challenge for M commerce 大数据:移动商务的机遇与挑战

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640738

Bhavna Galhotra

{"title":"Big Data: An opportunity and Challenge for M commerce","authors":"Bhavna Galhotra","doi":"10.1109/I-SMAC52330.2021.9640738","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640738","url":null,"abstract":"With an evolution of 5G technologies there is a drastic change in the industries and usage of internet. After the pandemic has hit the world there is an emergence of data with the usage of online transactions, online studies, exchange of good and services over the internet. Since there is an increase in the use of the internet and online applications more and more of the data is being generated and used. There is a paradigm shift in the Mobile commerce, with the use of mobile commerce there are various opportunities and challenges connected with it. M Commerce is exchange of goods and services over the internet using PDA’s. The advantage of M commerce is it can be done anytime and anywhere. With this there is a tremendous growth in the use of smart phones and most of the E commerce organizations are now using the applications based business models for buying and selling goods and services. The current study investigates how Big data is used and considered to be the biggest challenge for the M commerce business processing’s. The data is ballooning in the size with the usage of the applications, companies are utilizing the data for satisfying the customers’ requirements and benefitting the consumers with an increase in the profit for the organization as well. Along with this big data companies are also using the business technologies, artificial Intelligence and Machine Learning to advertise and attract the customers’ demands. In this paper author has discussed about the needs and challenges of the big data in Mobile commerce with smooth functioning of with the security concerns. Also the author has suggested that the block chain technology can also play a vital role in the use of the data for better functioning. It can massively change the functionality of the M commerce application performance as well.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115742369","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

Quantitative analysis of Elastic Optical Networks using Probabilistic and Support Vector Regression Algorithms 弹性光网络的概率和支持向量回归算法定量分析

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640783

A. Akilandeswari, D. Sungeetha, Himanshu Shekhar, G. S. Annie Grace Vimala

{"title":"Quantitative analysis of Elastic Optical Networks using Probabilistic and Support Vector Regression Algorithms","authors":"A. Akilandeswari, D. Sungeetha, Himanshu Shekhar, G. S. Annie Grace Vimala","doi":"10.1109/I-SMAC52330.2021.9640783","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640783","url":null,"abstract":"Optical signals are transferred at a very high speed in Elastic Optical Network. The impairment of path between optical nodes leads to physical challenges of allocating paths. In this work an intuitive interpretation of paths and its blocking probability has been done in both cases of directed and undirected models. The purpose of Structured Probability Routing Estimation in Optical Networks (SPREON) is to describe the best probability path with route estimation. Significance in data transfer is achieved by considering direct and indirect interactions of the nodes reducing the blocking probability. Unstructured Probability Routing Estimation in Optical Networks (UPREON) group node based on position for data transfer and estimates the routes among the peer nodes. The third work denotes Support Vector Regression Routing Estimation in Optical Networks (SVRREON) is to convert the feature space of resources available between communicating nodes into a linear classifier using Support Vector machine. Thus the non linear process of data transfer is being transformed in linear classification and optical routing and feasible routes are estimated. Results are compared independently across the model and also with existing work for delay, blocking probability metrics.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116174839","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

An Effective and Efficient Heart Disease Prediction Model Using Distributed High Performance Light GBM 基于分布式高性能轻型GBM的心脏病预测模型

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640897

B. Chowdary, Jaina Kedarnath, R. Vyshnavi, Valluri Lavakush, Chavula Shashidhar

{"title":"An Effective and Efficient Heart Disease Prediction Model Using Distributed High Performance Light GBM","authors":"B. Chowdary, Jaina Kedarnath, R. Vyshnavi, Valluri Lavakush, Chavula Shashidhar","doi":"10.1109/I-SMAC52330.2021.9640897","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640897","url":null,"abstract":"The healthcare industries acquire massive portions of facts which encompass some hidden information; it virtually is useful for making powerful options. For giving appropriate results as nicely as making dependable options on records, some modern-day-day facts enhancing strategies are used. In this check, A Reliable and additionally Reliable Heart Disease Prediction Version the usage of Distributed High Performance mild GBM is superior for predicting the risk diploma of coronary heart problem. The device makes use of 14 clinical specs collectively with age, sex, immoderate blood strain, ldl cholesterol, weight troubles and so on for prediction. The model anticipates the possibility of sufferers obtaining coronary heart trouble. It allows big records. E.G. Relationships in amongst clinical elements associated with coronary heart sickness similarly to styles, to be installation. The moderate slope improving technique has been used due to the training device. The received consequences have shown that the designed diagnostic device can efficaciously expect the threat of cardiovascular illness.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114207689","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

A 2.5 GHz Compact Wearable Microstrip Patch Antenna for off body Wireless Communication in WBANs 用于wban离体无线通信的2.5 GHz紧凑型可穿戴微带贴片天线

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9641027

S. Sreelekshmi, S. Sankar

引用次数: 1

Design of Log Periodic Inset Fed Microstrip Patch Antenna for S-Band Applications s波段对数周期插入式微带贴片天线的设计

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9641048

B. Ramana, P. Rao, M. Satyanarayana

引用次数: 1

IoT Based Design and Implementation of the Electric Power Quality Management System Using Arduino 基于物联网的电能质量管理系统的Arduino设计与实现

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640959

S. R., S. Divyapriya, A. Amudha, G. Emayavaramban, M. Siva Ramkumar, P. Nagaveni

引用次数: 0

Classification of Actual and Fake News in Pandemic 流行病中真假新闻的分类

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI: 10.1109/I-SMAC52330.2021.9640639

Manish Kumar Sharma, Prince Kumar, A. Rasool, A. Dubey, Vishal Kumar Mahto

引用次数: 6