2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)最新文献

Comparative study of machine learning techniques in sentimental analysis 情感分析中机器学习技术的比较研究

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975191

B. Bhavitha, Anisha P. Rodrigues, N. Chiplunkar

引用次数: 80

A survey on approaches for ECG signal analysis with focus to feature extraction and classification 心电信号分析方法综述，重点是特征提取和分类

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975175

Ashly Elizabeth Vincent, K. Sreekumar

引用次数: 10

A review on emotion recognition using speech 基于语音的情感识别研究进展

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975169

Saikat Basu, Jaybrata Chakraborty, Arnab Bag, Md. Aftabuddin

{"title":"A review on emotion recognition using speech","authors":"Saikat Basu, Jaybrata Chakraborty, Arnab Bag, Md. Aftabuddin","doi":"10.1109/ICICCT.2017.7975169","DOIUrl":"https://doi.org/10.1109/ICICCT.2017.7975169","url":null,"abstract":"Emotion recognition or affect detection from speech is an old and challenging problem in the field of artificial intelligence. Many significant research works have been done on emotion recognition. In this paper, the recent works on affect detection using speech and different issues related to affect detection has been presented. The primary challenges of emotion recognition are choosing the emotion recognition corpora (speech database), identification of different features related to speech and an appropriate choice of a classification model. Different types of methods to collect emotional speech data and issues related to them are covered by this presentation along with the previous works review. Literature survey on different features used for recognizing emotion from human speech has been discussed. The significance of various classification models has been presented along with some recent research works review. A detailed description of a prime feature extraction technique named Mel Frequency Cepstral Coefficient (MFCC) and brief description of the working principle of some classification models are also discussed here. In this paper terms like affect detection and emotion recognition are used interchangeably.","PeriodicalId":185697,"journal":{"name":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"37 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040844","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: 62

Authentication with privacy preservation in opportunistic networks 机会网络中具有隐私保护的身份验证

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975184

Prashant S. Kumar, N. Chauhan, N. Chand

引用次数: 8

A novel approach for medical assistance using trained chatbot 一种使用经过训练的聊天机器人进行医疗援助的新方法

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975195

D. Madhu, C. Jain, Elmy Sebastain, Shinoy Shaji, Anandhu Ajayakumar

引用次数: 96

Comparative analysis of resonance characteristics single sided SRR type metamaterials for varying gap size 不同间隙尺寸单面SRR型超材料共振特性的比较分析

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975171

A. Pandey, Pravesh Chaudhary

引用次数: 0

Issues and challenges in healthcare narrowband IoT 医疗窄带物联网中的问题和挑战

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975247

Sharath Anand, S. Routray

引用次数: 63

Sentiment analysis of product reviews: A review 产品评论的情感分析:综述

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975207

T. K. Shivaprasad, Jyothi Shetty

引用次数: 45

An analysis of various snort based techniques to detect and prevent intrusions in networks proposal with code refactoring snort tool in Kali Linux environment 分析了在Kali Linux环境下使用代码重构snort工具检测和防止网络入侵的各种基于snort的技术

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975177

Raviteja Gaddam, M. Nandhini

{"title":"An analysis of various snort based techniques to detect and prevent intrusions in networks proposal with code refactoring snort tool in Kali Linux environment","authors":"Raviteja Gaddam, M. Nandhini","doi":"10.1109/ICICCT.2017.7975177","DOIUrl":"https://doi.org/10.1109/ICICCT.2017.7975177","url":null,"abstract":"Security and reliability are the major concern of our daily life usage of any network. But with the swift advancements in network technology, attacks are becoming more sophisticated than defenses. Although firewalls and router-based packet filtering are essential elements of an overall network security topology, they are not enough on their own. So, to brace the network from unauthorized access the idea of Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) is attracting security experts. This paper briefs various trends in Intrusion Detection & Prevention. To understand various techniques in IDS, this paper analyses various approaches proposed by security researchers specifically using popular open source software Snort as their IDS tool. Being an open source IDS, Snort can be easily configured and deployed in any environment. To assess the efficiency, these research papers are analyzed in various performance aspects like Detection Accuracy, Scalability and Capability of detecting unknown attacks. To overcome various challenges like low detection rate, incapable of handling huge traffic, unsupported automated tuning, etc. that are identified during literature review, this paper proposes a level based architecture. All the levels are designed as incremental i.e. capable of providing the desired functionality and also its lower levels. To prove the efficiency of the proposed architecture, it can be integrated into Snort Tool using Code Refactoring. Also proposed an environment setup to evaluate the modified Snort Tool performance in future.","PeriodicalId":185697,"journal":{"name":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"70 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134004697","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: 36

Abnormalities detection in retinal fundus images 视网膜眼底图像的异常检测

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-10 DOI: 10.1109/ICICCT.2017.7975165

V. Sathananthavathi, G. Indumathi, R. Rajalakshmi

{"title":"Abnormalities detection in retinal fundus images","authors":"V. Sathananthavathi, G. Indumathi, R. Rajalakshmi","doi":"10.1109/ICICCT.2017.7975165","DOIUrl":"https://doi.org/10.1109/ICICCT.2017.7975165","url":null,"abstract":"The development of an automatic telemedicine system for screening and grading of Diabetic Retinopathy depends (DR) on reliable detection of abnormalities in retinal fundus images. The abnormalities in retinal fundus images due to DR are lesions which includes Micro aneurysms and Haemorrhages. An automatic detection of abnormalities like Micro aneurysm and Haemorrhages in colour fundus images is important to grade the diabetes level of patients in an automated system. The proposed method to detect the abnormalities in retinal fundus image is based on dynamic shape features and SVM classifier. Red lesion detected using two important aids. The first is candidate detection based on pixel classification. Using this technique vasculature and red lesions are separated from the back ground of the image. After removal of the connected vasculature the remaining objects are considered possible red lesions. Second the detected candidates are used to train the Support Vector Machine (SVM) classifier. The abnormalities detection accuracy of the proposed method is about 90% for diartedb1 database and 80% for stare database by cross training.","PeriodicalId":185697,"journal":{"name":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"30 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116742223","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