2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)最新文献_第5页

PACT - Programming Assistant ChaTbot PACT -编程助理聊天机器人

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969070

Aditya Yadav, Ishan Garg, Dr. Pratistha Mathur

引用次数: 3

Reduction of Position Error in GNSS receiver Coordinates using Iterative and PSO based Algorithms 基于迭代和粒子群算法的GNSS接收机坐标位置误差减小

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969071

J. Pavanija, G. Jyothi, B. Dhanraj, G. Kumar, A. Bose, Pratibha Verma

引用次数: 2

ICCT 2019 Keynote Speakers ICCT 2019主题演讲嘉宾

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/icct46177.2019.8969056

引用次数: 0

Anonymous Vehicle Detection for Secure Campuses: A Framework for License Plate Recognition using Deep Learning 安全校园的匿名车辆检测:使用深度学习的车牌识别框架

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969068

Crystal Dias, Astha Jagetiya, Sandeep Chaurasia

{"title":"Anonymous Vehicle Detection for Secure Campuses: A Framework for License Plate Recognition using Deep Learning","authors":"Crystal Dias, Astha Jagetiya, Sandeep Chaurasia","doi":"10.1109/ICCT46177.2019.8969068","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969068","url":null,"abstract":"Automatic license plate recognition is being widely used for numerous applications since its inception. The ability to procure license plate numbers accurately has been beneficial in maintaining traffic rules, parking enforcement, and security. In this paper, we have discussed the results of using ALPR for recognition of anonymous vehicles entering our university campus. We used deep learning for license plate localization and Tesseract OCR for license plate recognition. By doing so we could read the license plates of vehicles entering a particular campus and verify if the vehicle is authorized by comparing it with a predefined list of authorized vehicles. To efficiently extract these number plates we have trained our model using Faster RCNN and tuned it to get the best output. The results of which have been discussed in this paper. Further, the image processing techniques used for preprocessing the identified number plate have been mentioned here. For character segmentation and character recognition, we have used tesseract. While training our model for number plate extraction the minimum loss obtained was 0.011 with RMSprop optimizer at initial learning rate 0.002.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"23 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":"125086911","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: 9

Malaria Detection Using Multiple Deep Learning Approaches 使用多种深度学习方法检测疟疾

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969046

Satabdi Nayak, San Kumar, Mahesh Jangid

引用次数: 10

Mammogram Segmentation Methods: A Brief Review 乳房x光片分割方法综述

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8968781

S. Padhi, Suvendu Rup, Sanjay Saxena, Figlu Mohanty

{"title":"Mammogram Segmentation Methods: A Brief Review","authors":"S. Padhi, Suvendu Rup, Sanjay Saxena, Figlu Mohanty","doi":"10.1109/ICCT46177.2019.8968781","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8968781","url":null,"abstract":"Being the prime reason, after skin cancer, of high mortality rate among women in present day, breast cancer requires correct diagnosis and precise treatment at its earliest stage. From the time of the advent of diagnosis tools, medical practitioners have left no stone unturned in their efforts of delivering timely medication to the patients; but often human error has resulted in either death due to dosage of medicines resulting from wrongly detected malignancies or due to negligence arising from not detecting the tumors at the right time. Hence, computer-aided diagnosis (CADx) has come into light as a key tool in statistically analyzing medical images obtained from various imaging machines and classifying the specimens into the categories of normal, benign, and malignant. A major step involved in it is the segmentation of the medical image into various regions and determining the required region-of-interest (ROI) from them. Automated image segmentation is quintessential today in order to extract the correct suspicious regions for diagnosis, instead of relying on erroneous human eye judgment. The following study aims to compare and analyze the effectiveness of some existing segmentation methods used to extract the ROIs for analysis of digital mammograms for breast cancer detection.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"1 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":"129848801","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: 4

Network Attacks and Intrusion Detection System: A Brief 网络攻击与入侵检测系统简介

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969033

N. Sharma, Kavita, G. Agarwal

引用次数: 2

Petrography, XRD Analysis and Identification of Talc Minerals near Chhabadiya Village of Jahajpur Region, Bhilwara, India through Hyperion Hyperspectral Remote Sensing Data 利用Hyperion高光谱遥感数据对印度比尔瓦拉邦Jahajpur地区Chhabadiya村附近滑石矿物进行岩石学、XRD分析和鉴定

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969008

Mahesh Kumar Tripathi, H. Govil, P. Diwan

{"title":"Petrography, XRD Analysis and Identification of Talc Minerals near Chhabadiya Village of Jahajpur Region, Bhilwara, India through Hyperion Hyperspectral Remote Sensing Data","authors":"Mahesh Kumar Tripathi, H. Govil, P. Diwan","doi":"10.1109/ICCT46177.2019.8969008","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969008","url":null,"abstract":"The larger synoptic view and contiguous channels arrangement of Hyperion hyperspectral remote sensing data enhance the minor spectral identification of earth’s features such as minerals, atmospheric gasses, vegetation and so on. Hydrothermal alteration minerals mostly associated with vicinity of geological structural features such as lineaments and fractures. In this study Hyperion data is used for identification of hydrothermally altered minerals and alteration facies near Chhabadiya village of Jahajpur area, Bhilwara, Rajasthan. There are some minerals such as talc minerals identified through Hyperion imagery. The identified talc minerals correlated and evaluated through petrographic analysis, XRD analysis and spectroscopic analysis. The validation of identified minerals completed by field survey, field sample spectra and USGS spectral library talc mineral spectra. The conclusion is that Hyperion hyperspectral remote sensing data have capability to identify the minerals, mineral assemblage, alteration minerals and alteration facies.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"8 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":"127837029","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

Food Survey using Exploratory Data Analysis 探索性数据分析的食品调查

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969016

Rayapati RamyaSri, Shaik IshaSanjida, Dhanush Parasa, Shahana Bano

{"title":"Food Survey using Exploratory Data Analysis","authors":"Rayapati RamyaSri, Shaik IshaSanjida, Dhanush Parasa, Shahana Bano","doi":"10.1109/ICCT46177.2019.8969016","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969016","url":null,"abstract":"We are well aware of the many problems that our current generations are facing. From all these new enhancements in the real world it has been quite hard for them to keep up with everything evolving around them. Keeping all this in mind they work day in and out to make sure that their knowledge on their surroundings up to date, however we believe that they fail to properly take care of themselves in the process. No matter how much a certain individual may withstand in terms of workload, stress, or other mental & emotional barriers our physical body will always be the key aspect to overcoming them. Most people believe that working out and maintaining physical fitness are the major aspects to sustain a healthy physical form but they simply overlook the most important aspect which are their eating habits. Although our body may be physically fit, the nourishment of our body depends on the eating styles that we follow on a day to day basis. Food is what nourishes our body with most of the proteins & minerals that we require, without it we wouldn't be able to accomplish much. On conducting a worldwide research on people's lifestyles we were able to conclude that over the past 33 years the obesity rate among human beings has increased by a mere 27.5%. What seems to be the most thoughtful yet intriguing fact is that although many people are overweight as well as obese they still believe that their eating habits are healthy. Most people are living in the dilemma of the fact that they maintain a healthy lifestyle. We aim to study the views on a healthy lifestyle as per the norms of our current generation. We would like to analyse their daily eating habits as well as their own thoughts on their lifestyle. So the question that remains is… “What exactly is a Healthy Eating Lifestyle?”","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"30 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":"114583830","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

Real-Time Sentiment Analysis of 2019 Election Tweets using Word2vec and Random Forest Model 基于Word2vec和随机森林模型的2019年大选推文实时情感分析

2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT) Pub Date : 2019-09-01 DOI: 10.1109/ICCT46177.2019.8969049

Msr Hitesh, Vedhosi Vaibhav, Y.J Abhishek Kalki, Suraj Harsha Kamtam, S. Kumari

{"title":"Real-Time Sentiment Analysis of 2019 Election Tweets using Word2vec and Random Forest Model","authors":"Msr Hitesh, Vedhosi Vaibhav, Y.J Abhishek Kalki, Suraj Harsha Kamtam, S. Kumari","doi":"10.1109/ICCT46177.2019.8969049","DOIUrl":"https://doi.org/10.1109/ICCT46177.2019.8969049","url":null,"abstract":"Sentiment analysis of social media data consists of attitudes, assessments, and emotions which can be considered a way human think. Understanding and classifying the large collection of documents into positive and negative aspects are a very difficult task. Social networks such as Twitter, Facebook, and Instagram provide a platform in order to gather information about people’s sentiments and opinions. Considering the fact that people spend hours daily on social media and share their opinion on various different topics helps us analyze sentiments better. More and more companies are using social media tools to provide various services and interact with customers. Sentiment Analysis (SA) classifies the polarity of given tweets to positive and negative tweets in order to understand the sentiments of the public. This paper aims to perform sentiment analysis of real-time 2019 election twitter data using the feature selection model word2vec and the machine learning algorithm random forest for sentiment classification. Word2vec with Random Forest improves the accuracy of sentiment analysis significantly compared to traditional methods such as BOW and TF-IDF. Word2vec improves the quality of features by considering contextual semantics of words in a text hence improving the accuracy of machine learning and sentiment analysis.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"65 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":"128773100","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: 22