2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)最新文献_第2页

Performance of Sentimental Analysis by Studying and Mining Social Media using Parsing Technique 运用解析技术研究挖掘社交媒体的情感分析表现

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753070

C. Sowmya, S. Deena, S. Anbuchelian

{"title":"Performance of Sentimental Analysis by Studying and Mining Social Media using Parsing Technique","authors":"C. Sowmya, S. Deena, S. Anbuchelian","doi":"10.1109/ICGCIOT.2018.8753070","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753070","url":null,"abstract":"The social media networks have evolved quickly and many people often use these services to communicate with others and categorize themselves by sharing their opinions, views and concepts. It is usually dispensed by winnowing the corresponding or interlinked events mentioned on social media websites like Twitter, Facebook, YouTube and Pinterest etc. A social media analysis has rapt from being a unidirectional to a bidirectional dialogue i.e. between generations to generation. The rudimentary objective behind such analyses is to visualize the extent of criticality with relevancy criticism or appreciation delineate at intervals the comments, tweets or blogs. This analysis shows how individuals assume, assess, talk and opine concerning completely different problems.This paper centers on the pattern location and examine the feelings communicated in a particular sentence, passage or archive. The opinions and sentiments are extracted from the collected data and it is fairly estimated based on the degree of quality. The rule commitment of this paper is to give a blueprint to the individuals who try to use internet based life scratching and examination utilizing distinctive programming apparatuses either in their investigation or business. In addition, the system design to implement the proposed idea has been discussed.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131346471","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

Distributed computing using SMART Sensors in Industrial automation framework 工业自动化框架中基于智能传感器的分布式计算

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753076

N. Singa, Nilesh Jadhav, Bony Mathew

引用次数: 0

A Hybrid of Round Robin and Shortest Job First CPU Scheduling Algorithm for Minimizing Average Waiting Time 最小化平均等待时间的轮循和最短作业优先混合调度算法

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8752975

Tanuja Jha, T. Choudhury

引用次数: 0

An intelligent web spider for online e-commerce data extraction 一种用于在线电子商务数据提取的智能网络蜘蛛

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753071

Ranjani Murali

引用次数: 8

A Platform for Human-Chatbot Interaction Using Python 一个基于Python的人机交互平台

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753031

Bhaumik Kohli, T. Choudhury, Shilpi Sharma, Praveen Kumar

引用次数: 13

Predicting Lung Cancer Using Datamining Techniques With the AID of SVM Classifier 基于SVM分类器的数据挖掘技术预测肺癌

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753095

Dr. S. Senthil, B. Ayshwarya

{"title":"Predicting Lung Cancer Using Datamining Techniques With the AID of SVM Classifier","authors":"Dr. S. Senthil, B. Ayshwarya","doi":"10.1109/ICGCIOT.2018.8753095","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753095","url":null,"abstract":"The suggested techniques provide a noble quality tool to predict lung tumor classification and play a major role, particularly in the finding and classification of medical data. The literature reports a number of lung cancer diagnosis systems which predict normal and abnormal lung cancers with the support of SVM. Our proposed research focuses on predicting lung cancer whether it is normal or abnormal, with respect to the classification technique. Initially, in the preprocessing phase, suitable data from the input data set are extracted after preprocessing; the resultant output is fed to the feature selection. In this feature selection phase, the features are selected with the aid of the firefly algorithm. After the feature selection, the particular features are served in to the support vector machine (SVM) classifier; with the aid of this classifier, the data are classified as either normal or abnormal. The proposed method will be implemented in Matlab with various lung cancer data. In addition to this, our proposed work will be in comparison with the present strategies and algorithms for proving that our proposed work is the best one.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124358280","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

ICT based Fertilizer Distribution System 基于ICT的肥料分配系统

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753018

P. Roy, Anugrah Pandya, V. Deep, Purushottam Sharma

引用次数: 1

Smart Farm Monitoring Using LoRa Enabled IoT 使用LoRa支持的物联网进行智能农场监控

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753086

R. Kodali, Subbachari Yerroju, S. Sahu

{"title":"Smart Farm Monitoring Using LoRa Enabled IoT","authors":"R. Kodali, Subbachari Yerroju, S. Sahu","doi":"10.1109/ICGCIOT.2018.8753086","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753086","url":null,"abstract":"Agricultural practices need to be transformed in order to overcome future food scarcity due to overpopulation across the globe. By employing emerging, disruptive technologies like IoT in the agricultural sector, it is possible to monitor farm fields using low-cost and low-power consuming devices, to automate irrigation systems for efficient usage of water resources. Weather forecast using IoT can help to plan farm filed activities like sowing, harrowing, harvesting, etc. This reduces negative impacts like yield losses due to uncertain weather changes. LPWAN technologies serve IoT applications in a better possible way so that these applications can overcome bandwidth, power and coverage constraints which are main drawbacks in other wireless communication technologies. In agricultural fields, LoRaWAN protocol or LoRa in LPWAN space gives additional advantages like scalability, security and robustness in designing IoT applications. In this paper, a smart farm monitoring model is proposed. This model utilizes LoRa communication mechanism to send sensor data like temperature (°C), humidity (%) and soil moisture (%) from the transmitter node to receiver node. The receiving node which is Wi-Fi enabled uses MQTT services to monitor the data in IBM Watson IoT platform and to store the same data in IBM cloud DB service.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203207","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: 26

Design of Dual-band Microstrip antenna for WiMax and X band applications 用于WiMax和X波段应用的双频微带天线设计

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753080

Prahlad, P. M, R. V, Mohammed Riyaz Ahmed

引用次数: 4

Three Phase Improved Cascaded Multilevel Inverter Fed Induction Motor Drives For THD Reduction 用于降低THD的三相改进级联多电平变频馈电动机驱动器

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2018-08-01 DOI: 10.1109/ICGCIOT.2018.8753045

Dipak Narsale, S. S. Dhamse

引用次数: 0