2019 1st International Conference on Advances in Information Technology (ICAIT)最新文献_第6页

An Efficient Technique for Feature Selection to Predict Customer Churn in telecom industry 电信行业客户流失特征选择的有效预测方法

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987317

Varun E, P. Ravikumar, Chandana S, S. M

引用次数: 3

Congestion Free And Bandwidth Aware Multipath Protocol for MANET 面向MANET的无拥塞和带宽感知多路径协议

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987274

Mani Bushan Dsouza, M. H.

引用次数: 1

IoT Based Smart Security Gadget for Women’s Safety 基于物联网的女性安全智能安全装置

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987242

T. R, Aishwarya, Chaithra K. S, D. K, Nagamma H

{"title":"IoT Based Smart Security Gadget for Women’s Safety","authors":"T. R, Aishwarya, Chaithra K. S, D. K, Nagamma H","doi":"10.1109/ICAIT47043.2019.8987242","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987242","url":null,"abstract":"Nowadays, personal safety has become a significant problem for everyone, but especially for women. A recent survey made by WHO indicates 35 percent of women, globally, facing some form of abuse and physical violence. The count of victim is gradually increasing. Here we introduce a system which makes sure the women protection. The device can be easily carried and could be taken whenever they sense the danger. The project idea is to provide a swift responding and reporting safety device for women. The application helps women to overcome with fear and can call to her guardian that she can take the help. It reports a situation just by pressing button on the smart band. Our project resembles a smart band; it has the capability to protect the women, with the various sensors integrated within the band. When she wearing the band or a watch, if she face any Kind of harassment or if she feel something happened to be endanger she can press the button located on the watch, when she fall in down, the various information such as location, body posture, pulse rate and SMS alert are sent to the predefined number by using the GSM through Raspberry Pi. We can get the exact location of the victim by using the GPS it sends the longitude and latitude of the victim so that, police can easily find the victim and the incident can be easily avoided and can save the women, punish the culprit. Using the IoT platform one we can track the information of the women remotely. This will help to reduce the crime against the women.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131720982","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: 20

Diagnosis of Diabetes by Tongue Analysis 用舌头分析诊断糖尿病

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987391

E. Srividhya, A. Muthukumaravel

引用次数: 5

Predicting Users’ Adoptive Behavior From Review Data 从评论数据预测用户的采用行为

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987351

Varnika Srivastava, Varuni Sutrave, Bhaskarjyoti Das

引用次数: 0

Data Rate Engine for USB 2.0 Based Bulk IN and OUT Transactions 数据率引擎为USB 2.0为基础的批量输入和输出事务

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987372

Prashanth R A, Adithya Rangan C K, A. Sreenivasan, Siddappa P Odeyar, V. Kulkarni, Aravinda K Holla

{"title":"Data Rate Engine for USB 2.0 Based Bulk IN and OUT Transactions","authors":"Prashanth R A, Adithya Rangan C K, A. Sreenivasan, Siddappa P Odeyar, V. Kulkarni, Aravinda K Holla","doi":"10.1109/ICAIT47043.2019.8987372","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987372","url":null,"abstract":"USB 2.0 is a serial communication protocol standard which connects peripherals like keyboards, mouse, cameras, audio devices like speakers and microphones, and other electronic devices like mass storage devices. Theoretically, USB 2.0 has defined a target of high speed data rate of 480Mbps, full speed data rate of 12Mbps and low speed data rate of 1.5Mbps. Hence, there arises a need to satisfy functional and speed requirements in the design and implementation of the USB 2.0 IP. This leads towards introducing a system that analyses the IP performance matching the protocol specifications. This paper depicts application of a data rate engine for bulk transfers of USB 2.0 protocol based transfers between host and device. The data rate engine consists of traffic analyzer, data rate calculator and performance tracker. The traffic analyzer recognizes different packets of the USB 2.0 transactions while keeping track of the data flow and related information. The data rate calculator acts as a plug-in to calculate the speed of transactions, additionally assisted by display unit to keep a record of obtained results. The performance tracker helps to understand the variation in data rate with respect to different factors affecting the IP performance. The implementation of data rate engine is in SystemVerilog in Linux platform and the corresponding behavior is identified through testcase simulations.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"248 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129942253","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

A Comparative Study of Link Prediction Algorithms For Social Networks of Varying Sizes 不同规模社交网络链接预测算法的比较研究

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987381

Mukund Sood, Srinivas Shekar, V. Rao, Bhaskarjyoti Das

{"title":"A Comparative Study of Link Prediction Algorithms For Social Networks of Varying Sizes","authors":"Mukund Sood, Srinivas Shekar, V. Rao, Bhaskarjyoti Das","doi":"10.1109/ICAIT47043.2019.8987381","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987381","url":null,"abstract":"Link prediction in social networks enables us to predict future links in an evolving social network as new nodes get added through the passage of time. It can also help to detect missing edges in the social graph. A successful link prediction method substantially reduces the experimental effort required to establish the topology of a network and can accelerate the mutually beneficial interactions that takes much longer to form by chance. In this work, the various state of art link prediction methods are analyzed while also looking at the kind of networks the algorithms work best with. Different social graph data sets are chosen based on their sizes and sparsity. Subsequently link prediction task on each of these data sets were done using various machine learning algorithms to understand the performance of several random walk based node embedding methods as compared with the performance of several classical approaches. It is found that the sparsity and size of the graph are important factors that determine the performance of random walk based node embedding methods.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040542","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

Sarcasm detection in Text Data to bring out genuine sentiments for Sentimental Analysis 文本数据中的讽刺检测，为情感分析挖掘真实情感

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987393

Adarsh M J, P. Ravikumar

引用次数: 6

ICAIT 2019 Cover Page ICAIT 2019封面

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/icait47043.2019.8987392

引用次数: 0

Epidemic Disease Expert System 流行病专家系统

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987421

Sudha S. Chikkaraddi, S. G. R.

{"title":"Epidemic Disease Expert System","authors":"Sudha S. Chikkaraddi, S. G. R.","doi":"10.1109/ICAIT47043.2019.8987421","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987421","url":null,"abstract":"The growth in the epidemic disease has created threat to human population. Many of the epidemic diseases are known to be sensitive to changes in the climate and short-term fluctuations in the weather. Recent outbreaks of Dengue, Chikungunya in India and Ebola in Africa have shown the importance of monitoring and understanding the public sentiments on disease outbreaks. These expert systems are fed with relevant knowledge and techniques to infer the result to make decisions. The paper focuses on extracting the web content like e-newspapers, Health related articles specific to the study of the disease occurrence and provide prior information of the outbreaks. The knowledge base is fed with the authenticated data collected from the field of medicine that provides information about the relationships between the diseases, symptoms, and medications. The system uses WebCrawler to crawl across the initial seed URL’s. The developed crawler supports the feature of multithreading crawling, content extraction and duplicate links detection. Around 3000 links are crawled by the WebCrawler. The dynamicity of the DOM structure of each e-newspaper is also taken care. Out of which few of the potential links related to the epidemic disease are taken for the study. Sentiment analysis of the curated newspaper article is demonstrated with real time data. The summary of the article, article published date, article title that are related to the epidemic disease is extracted. Pre-processing of data is done which includes parsing, tokenizing, lemmatizing and chinking of data. The Naïve Bayes Classifier is applied which results in the generation of score. The detailed view of the Disease related information is displayed to the user.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122256048","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