2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)最新文献_第6页

Autonomous Fire Detecting and Extinguishing Robot 自主火灾探测和灭火机器人

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969067

Mukul Diwanji, S. Hisvankar, C. Khandelwal

引用次数: 13

Sentiment Analysis of Train Derailment in India: A Case Study from Twitter Data 印度火车出轨的情绪分析:以Twitter数据为例

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969012

Vartika, C. Krishna, Ravin Kumar, Yogita

{"title":"Sentiment Analysis of Train Derailment in India: A Case Study from Twitter Data","authors":"Vartika, C. Krishna, Ravin Kumar, Yogita","doi":"10.1109/ICCT46177.2019.8969012","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969012","url":null,"abstract":"The services of Indian Railway are availed by many people in the country. It is an important mode of transportation. Most of the users of Indian Railway express their views about it on different social media sites like Twitter, Facebook etc. It leads to generation of large amount of data and sentimental analysis of that data can be very helpful in understanding public opinions towards Indian Railway and in decision making. In this paper, the lexicon based sentimental analysis technique has been applied to the twitter data collected corresponding to three train accidents namely Puri-Haridwar-Kalinga Utkal Express, Delhi-bound Kaifiyat Express and Mumbai-Nagpur Duranto Express which took place on 19/08/2017, 23/08/2017 and 29/08/2017 respectively. Further, tweets are classified into different categories and analyzed in terms of percentage frequency. The results present the pattern how the sentiments of the public fluctuate with time as when derailment happens the negative tweets has high frequency of occurrence but with passage of time frequency of occurrence of neutral tweets become high.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124315879","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

Line Following Robot Using Arduino for Hospitals 医院用Arduino线路跟踪机器人

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/icct46177.2019.8969022

J. Chaudhari, Asmita A. Desai, S. Gavarskar

{"title":"Line Following Robot Using Arduino for Hospitals","authors":"J. Chaudhari, Asmita A. Desai, S. Gavarskar","doi":"10.1109/icct46177.2019.8969022","DOIUrl":"https://doi.org/10.1109/icct46177.2019.8969022","url":null,"abstract":"This paper describes the line following robot using arduino for surveying, inspecting and enhancing the transportation of necessary materials inside the healthcare institutions, industries also. The proposed system spot the black path and proceed in its direction on to the ground. This system eases the work of material conveyance as well as minimizes the manpower. This technology targets on the secured, punctual and constructing transportation of goods. This paper aims to implement controlled movement of robot by tuning control parameters and thus achieve better performance. This robot is predominantly design to proceed in a predefined path. To locate this path two sensors are used. Robots like this are mainly used in industrial plants comprising of pick and place facility. This robot carries components from desired source to destination by following fixed path. Recently lot of research has been done to empower the automation in hospitals as well in industries. This robot is made to supply the essential goods such injections, medicine, etc. This paper is divided into hardware and software modules.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"478 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120869335","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: 12

Brain Stroke Detection Using Convolutional Neural Network and Deep Learning Models 脑卒中检测使用卷积神经网络和深度学习模型

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969052

Bhagyashree Rajendra Gaidhani, R. R.Rajamenakshi, Samadhan Sonavane

{"title":"Brain Stroke Detection Using Convolutional Neural Network and Deep Learning Models","authors":"Bhagyashree Rajendra Gaidhani, R. R.Rajamenakshi, Samadhan Sonavane","doi":"10.1109/ICCT46177.2019.8969052","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969052","url":null,"abstract":"For the last few decades, machine learning is used to analyze medical dataset. Recently, deep learning technology gaining success in many domain including computer vision, image recognition, natural language processing and especially in medical field of radiology. This research attempts to diagnose brain stroke from MRI using CNN and deep learning models. The proposed methodology is to classify brain stroke MRI images into normal and abnormal images and delineate abnormal regions using semantic segmentation [4]. In particular, two types of convolutional neural network that are LeNet [2] and SegNet are used. For classification, we passed pre-processed stroke MRI for training, trained all layers of LeNet and classify normal and abnormal patient. Then this abnormal patient data stored into two dimensional array and passed this two dimensional array to SegNet which is auto encoder decoder [3] model for segmentation, trained all layers of SegNet except fully connection layer. The experimental result show that classification model achieve accuracy between 9697% and segmentation model achieve accuracy between 8587%.Through experimental results, we found that deep learning models not only used in non-medical images but also give accurate result on medical image diagnosis, especially in brain stroke detection.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123127034","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: 12

Temperature Profiling for Early Detection of Foot Complications 早期发现足部并发症的温度谱分析

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969029

Pai Manohara M. M., S. Kolekar, R. Pai

引用次数: 1

Development of Smart Sole based Foot Ulcer Prediction System 基于智能鞋底的足溃疡预测系统的开发

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8968777

M. M. Manohara Pai, S. Kolekar, R. Pai

引用次数: 2

A New Segmentation method for Plant Disease Diagnosis 植物病害诊断的一种新的分割方法

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969021

K. Gurrala, Lenin Yemineni, Krupa Spandan Raj Rayana, Lokesh Kumar Vajja

引用次数: 8

Feature Analysis for Fake Review Detection through Supervised Classification 基于监督分类的虚假评论检测特征分析

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969059

P. Tiwari, Rishi Gupta, R. Gupta

{"title":"Feature Analysis for Fake Review Detection through Supervised Classification","authors":"P. Tiwari, Rishi Gupta, R. Gupta","doi":"10.1109/ICCT46177.2019.8969059","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969059","url":null,"abstract":"Presently days, audit destinations are increasingly more defied with the spread of falsehood, i.e., assessment spam, which goes for advancing or harming some objective organizations, by deceiving either human peruses, or computerized feeling mining and opinion investigation frameworks. Thus, in the most recent years, a few information-driven methodologies have been proposed to survey the believability of client created content diffused through online life as on-line audits. Particular methodologies frequently think about various subsets of qualities, i.e., highlights, associated with the two audits and commentators, just as to the system structure connecting unmistakable elements on the survey site in test. This work goes for giving an examination of the fundamental audit and commentator driven highlights that have been proposed up to now in the writing to identify counterfeit surveys, specifically from those methodologies that utilize directed AI systems. These arrangements furnish when all is said in done better outcomes concerning simply unsupervised methodologies, which are frequently founded on chart-based strategies that think about social ties in audit destinations. besides, this work proposes and assesses.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127156703","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

Social Media Survey using Decision Tree and Naive Bayes Classification 使用决策树和朴素贝叶斯分类的社交媒体调查

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969058

T. Roshini, P. Sireesha, Dhanush Parasa, Shahana Bano

{"title":"Social Media Survey using Decision Tree and Naive Bayes Classification","authors":"T. Roshini, P. Sireesha, Dhanush Parasa, Shahana Bano","doi":"10.1109/ICCT46177.2019.8969058","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969058","url":null,"abstract":"Social media is one of the most important aspects of our day to day life. For you my wonder what exactly is social media. Social media is nothing more than a website or an application that is used to create and share content among a social networking. Recent studies claim that an average person spends roughly 142 minutes per day on some form of social media. Now that may seem like a small number but considering how many people are addicted to social media might make the number far larger. Over the past few years the daily usage of social media for an average person has increased from a mere 100 minutes per day to its current 142 minutes per day. Although people around the world are spending a chunk of their day on social media platforms it is hard to identify whether such platforms are a boon or a con for mankind. Although most people argue that social media is purely a waste of time, a recent study was able to establish a conclusion that people who use social media have lower stress levels. A women who used social media several times a day scored 21% less stress levels then that of a women who had no interest of social media at all. However there are many argument out there to support that it is a bad influence among people as well. One of the most popular one being the fact that people simply are so caught up with social media that they forget the value or even how to interact with someone face to face. We weren't particularly interested in the effects of social media but we wanted to learn what types of social media platforms people preferred. Considering the fact that we live in a digital era where any data on the internet can be easily manipulated we wanted to find out how secure people felt on each social media platform. Keeping all these in mind we decided to learn more about people's approach to social media platforms. “How Do People React and Feel Towards Their Social Media Platforms?”","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185992","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: 5

SOUL: Simulation of Objects in Unity for Learning SOUL:模拟对象在统一学习

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8968786

Lavina Nagpal, Meghna Jaglan, Anuraj Kathait, Aakil Mathur, A. Vichare

引用次数: 0