2017 International Conference on Inventive Computing and Informatics (ICICI)最新文献_第2页

Text based sentiment analysis 基于文本的情感分析

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365326

Biswarup Nandi, Mousumi Ghanti, Souvik Paul

引用次数: 14

Classification of dengue dataset using J48 algorithm and ant colony based AJ48 algorithm 基于J48算法和基于蚁群的AJ48算法的登革热数据集分类

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365302

N. Saravanan, V. Gayathri

引用次数: 6

Recognition of facial expressions using Gaussian based edge direction and texture descriptor 基于高斯边缘方向和纹理描述符的面部表情识别

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365292

I. Revina, W. Emmanuel

引用次数: 1

Risk factors based classification for accurate prediction of the Preterm Birth 基于危险因素分类的早产准确预测

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365380

R. Pari, M. Sandhya, S. Sankar

{"title":"Risk factors based classification for accurate prediction of the Preterm Birth","authors":"R. Pari, M. Sandhya, S. Sankar","doi":"10.1109/ICICI.2017.8365380","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365380","url":null,"abstract":"With the advent of technological advances in the healthcare industry, predicting the labor-related complications becomes an important aspect in Gynecology and Obstetrics. It is a proactive way of preparing the patients mentally for facing any unforeseen situations which may arise due to these complications. The earlier the complications if any are detected; it is easier to prescribe the medication and the treatment to overcome the complications. Preterm Birth (PTB) is one such complication which needs a special attention and medication so that a possible PTB can be converted to a normal birth. Unfortunately, the clinical procedures like Ultrasound Scan and Swab test cannot reveal any major indicators of PTB and hence the number of spontaneous PTBs is increasing continuously. Between 1981 and 2008, PTB has increased from 9.4% to 12.3%. This is an increase of 36% in less than two decades. Hence there is a need to predict the PTB well in advance so that it helps the healthcare professionals to make decisions about the treatment. Subsequently, the expectant mother undergoes minimal or no complications of preterm labor. On the other hand, it also helps to avoid unnecessary hospitalization and treatment for women who are having a false labor pain. This study predicts the PTB by analyzing the historical data of patients who had either preterm or term birth. The results from this study show that PTB can be predicted with an accuracy of more than 98% using stacked generalization. The proposed approach helps the physicists in Gynecology and Obstetrics departments to accurately predict the PTB. Based on the prediction, the decision about the treatment to be rendered to the expectant mother to delay the birth is made on time. This, in turn, can reduce the mortality of babies due to preterm birth.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129471438","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

Survey of density based clustering algorithms and its variants 基于密度的聚类算法及其变体综述

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365272

Pradeep Singh, Prateek A. Meshram

{"title":"Survey of density based clustering algorithms and its variants","authors":"Pradeep Singh, Prateek A. Meshram","doi":"10.1109/ICICI.2017.8365272","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365272","url":null,"abstract":"Clustering technique is a unsupervised machine learning technique in the domain of data mining. Many of the clustering techniques are inherently sensitive to the input parameters. Different clustering techniques works differently for different types of the input datasets. Among all different varieties of clustering techniques, DBSCAN is one of the most important clustering technique whose working principle based on the density estimation while forming the clusters of the input dataset points which is basically used for spatial datasets of random shapes and sizes. It also eliminates the noise during the clustering formation process with a worst case run-time complexity of O(nA2). DBSCAN technique also produces a bad result for varied density datasets. In this paper we have discussed about different density based clustering techniques along with DBSCAN, its variants and some of its modified algorithms with respect to their input parameters and running time complexities. Also we have presented the comparison analysis of all the different variants of DBSCAN algorithms over different benchmark datasets for computing various measures.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124444429","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: 23

A pragmatic implementation of energy efficiency in the wireless body area network using CASTALIA 一个实用的实现能源效率在无线体域网络使用CASTALIA

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365291

K. Kalaiselvi, A. A. Cerli

引用次数: 3

Comparative analysis on the use of features and models for validating language identification system 使用特征和模型验证语言识别系统的比较分析

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365224

A. Revathi, C. Jeyalakshmi

{"title":"Comparative analysis on the use of features and models for validating language identification system","authors":"A. Revathi, C. Jeyalakshmi","doi":"10.1109/ICICI.2017.8365224","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365224","url":null,"abstract":"Identifying the spoken language from the speech is the emerging research area. For this task of language identification, experiments are implemented with two approaches such as Vector quantization (VQ) based clustering and Gaussian mixture modelling (GMM) with Mel frequency linear predictive cepstrum (MFPLPC), Mel frequency cepstrum (MFCC) and their shifted delta cepstral (SDC) features. Hypothesized language is identified based on minimum of averages and maximum log likelihood value corresponding to the model using minimum distance and Maximum a posteriori probability (MAP) classifiers. Better performance is observed for the basic feature MFPLP and VQ based clustering. The results are projected to indicate that the combined MFCC feature with its SDC component with size 52 has provided the better results using GMM as a modeling technique. Similarly, the combined MFPLP feature with its SDC component of size 52 provides next higher results as compared to the basic MFPLP feature of size 13 using clustering as a modeling technique. Overall performance of the system obtained is 99.81%. The database considered in this work contains speech utterances in seven classical and phonetically rich speaker specific Indian languages such as Bengali, Hindi, Kannada, Malayalam, Marathi, Tamil and Telugu.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132455225","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

Parking made easy an embedded design 停车使嵌入式设计变得容易

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365287

J. Josephin, M. Ukrit

{"title":"Parking made easy an embedded design","authors":"J. Josephin, M. Ukrit","doi":"10.1109/ICICI.2017.8365287","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365287","url":null,"abstract":"The modern world is moving towards the term ‘Automation’ which makes life simpler and easier. The rapid rise in the number of vehicles has increased the necessity of consideration about the parking system in shopping malls, airports, universities etc. Embedded system design for a real time parking is the latest and the emerging trend in the materialized world. A cost effective, reliable and accurate parking system is of great desire. It is believed that a cost effective, reliable and accurate parking system can save the time and minimize human efforts to a great extent. In this paper we present a embedded system design of a real time parking guidance system using PIC 16F877A micro-controllers which employs the incorporation of wireless communication to provide the user with remote control of elements like lights, sensors, and appliances falling within their working range of the designated environment. This system is designed to help the users by assisting them with parking their vehicles in the car lot. The system will automatically provide all the details in the parking areas on the basis of processing all the sensors data. It is designed to be running on a low budget platform and in the meantime, allowing their developers to eventually expand their controls over a variety of electronic devices.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130220890","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

Evaluation of machine learning models for employee churn prediction 评估员工流失预测的机器学习模型

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365293

Dilip Singh Sisodia, Somdutta Vishwakarma, Abinash Pujahari

引用次数: 50

Image segmentation based on multilevel thresholding using firefly algorithm 基于萤火虫算法的多级阈值图像分割

2017 International Conference on Inventive Computing and Informatics (ICICI) Pub Date : 2017-11-01 DOI: 10.1109/ICICI.2017.8365235

M. Sridevi

引用次数: 5