2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)最新文献_第3页

Nonlinear Temporal Analysis of Uterine EMG for Preterm Birth Classification 子宫肌电图对早产分类的非线性时间分析

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036595

Irtiza Hasan, A. Das, Mohammed Imamul, Hassan Bhuiyan

{"title":"Nonlinear Temporal Analysis of Uterine EMG for Preterm Birth Classification","authors":"Irtiza Hasan, A. Das, Mohammed Imamul, Hassan Bhuiyan","doi":"10.1109/IC4ME247184.2019.9036595","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036595","url":null,"abstract":"Premature birth, one of the root causes of maternal mortality and childhood morbidity, is growing at an increased rate worldwide. Several screening tests used in clinical settings to predict preterm births do not show satisfactory results. Electrohysterography, a noninvasive automated method of monitoring uterine contractions during labor, has shown to be effective in the classification task. In this work, we explored the potential use of several temporal nonlinear parameters for carrying out classification process. A publicly available TPEHG DB (Term Preterm Electrohysterogram Database) containing 262 term records and 38 preterm records was used to conduct the study. To execute effective classification tasks, Synthetic Minority Over-Sampling Technique (SMOTE) was applied on unbalanced dataset to generate equal number of training dataset by oversampling the minority class. New suitable nonlinear features have been addresed in this study other than the features used in the previous works to compare the performance of the classifiers. The analysis showed that extremely randomized trees or extra trees classifier shows significant improvement by using these features in the classification process of term and preterm records with cross validation accuracy 91.4%, specificity 90.2% and sensitivity 95.5%. The proposed approach could be combined with other methods to excel in the existing classification performance.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"2013 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":"128084269","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

Synthesis and Microscopic Study of Zinc Sulfide Nanoparticles 硫化锌纳米颗粒的合成及显微研究

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036683

Amrit Regmi, B. R. Bhattarai, S. K. Gautam

引用次数: 1

IC4ME2 2019 Table of Contents IC4ME2 2019目录表

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/ic4me247184.2019.9036688

引用次数: 0

An Approach for Recognizing Vehicle Based on Appearance 一种基于外观的车辆识别方法

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036598

M. Mamun, K. Deb

引用次数: 3

Effect of Smoking in EEG Pattern and Time-Frequency Domain Analysis for Smoker and Non-Smoker 吸烟对吸烟者和非吸烟者脑电图的影响及时频域分析

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036492

Md Mahmudul Hasan, Nafiul Hasan, Azizur Rahman, Md. Mustafizur Rahman

引用次数: 3

Automated Prediction of Phishing Websites Using Deep Convolutional Neural Network 基于深度卷积神经网络的钓鱼网站自动预测

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036647

K. M. Zubair Hasan, Md. Zahid Hasan, N. Zahan

{"title":"Automated Prediction of Phishing Websites Using Deep Convolutional Neural Network","authors":"K. M. Zubair Hasan, Md. Zahid Hasan, N. Zahan","doi":"10.1109/IC4ME247184.2019.9036647","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036647","url":null,"abstract":"Phishing is one of the ruinous issues encountered by the World Wide Web (WWW) and steers to the financial catastrophes for individuals and businesses. It has been perpetually a perplexing issue to identify phishing attacks with high exactness. The tremendous outcomes in the area of classification have been succeeded by the state-of-the-art invention of the deep convolutional neural networks (DCNNs). This paper is concerned with an accurate identifying approach for web phishing attacks based on deep convolutional neural networks. Our developed model has the ability to classify the attacked phishing websites from legitimate sites. However, due to the limitation of samples in the dataset, other machine learning algorithms (SVM, AdaBoost, Decision Tree, KNN) cannot perform proficiently for analyzing the data. In this respect, our proposed Deep Convolution Neural Network (DCNN) model has an automated approach to predict the phishing sites within the earlier stage. The empirical results show that the overall accuracy of 99% is achieved by the recommended methodology.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"18 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":"126139746","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

Detecting and Preventing IP Spoofing and Local Area Network Denial (LAND) Attack for Cloud Computing with the Modification of Hop Count Filtering (HCF) Mechanism 基于HCF (Hop Count Filtering)机制的云计算IP欺骗和LAND攻击检测与防范

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036507

Subrina Sultana, Sumaiya Nasrin, Farhana Kabir Lipi, Md. Afzal Hossain, Zinia Sultana, Fatima Jannat

{"title":"Detecting and Preventing IP Spoofing and Local Area Network Denial (LAND) Attack for Cloud Computing with the Modification of Hop Count Filtering (HCF) Mechanism","authors":"Subrina Sultana, Sumaiya Nasrin, Farhana Kabir Lipi, Md. Afzal Hossain, Zinia Sultana, Fatima Jannat","doi":"10.1109/IC4ME247184.2019.9036507","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036507","url":null,"abstract":"In today’s world the number of consumers of cloud computing is increasing day by day. So, security is a big concern for cloud computing environment to keep user’s data safe and secure. Among different types of attacks in cloud one of the harmful and frequently occurred attack is Distributed Denial of Service (DDoS) attack. DDoS is one type of flooding attack which is initiated by sending a large number of invalid packets to limit the services of the victim server. As a result, server can not serve the legitimate requests. DDoS attack can be done by a lot of strategies like malformed packets, IP spoofing, smurf attack, teardrop attack, syn flood attack, local area network denial (LAND) attack etc. This paper focuses on IP spoofing and LAND based DDoS attack. The objective of this paper is to propose an algorithm to detect and prevent IP spoofing and LAND attack. To achieve this objective a new approach is proposed combining two existing solutions of DDoS attack caused by IP spoofing and ill-formed packets. The proposed approach will provide a transparent solution, filter out the spoofed packets and minimize memory exhaustion through minimizing the number of insertions and updates required in the datatable. Finally, the approach is implemented and simulated using CloudSim 3.0 toolkit (a virtual cloud environment) followed by result analysis and comparison with existing algorithms.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"1 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":"130256039","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

Saliency Detection using the Combination of Boundary Aware Color-map and Seam-map 结合边界感知颜色图和接缝图的显著性检测

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036637

A. Islam, S. M. M. Ahsan, J. Tan

引用次数: 2

Numerical Modeling to evaluate the performance of FBG-based Strain Sensors 基于fbg的应变传感器性能的数值模拟

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036623

Ahsan Yaqub Rabbi, M. R. Kaysir, Md Jahirul Islam

引用次数: 1

Network-based quantitative frameworks to identify pleotropic factors that influence for cardiomyopathy progression 基于网络的定量框架，以确定影响心肌病进展的多效性因素

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) Pub Date : 2019-07-01 DOI: 10.1109/IC4ME247184.2019.9036486

Md. Nasim Haidar, M. Islam, Utpala Nanda Chowdhury, F. Huq, Julian M. W. Quinn, M. Moni

{"title":"Network-based quantitative frameworks to identify pleotropic factors that influence for cardiomyopathy progression","authors":"Md. Nasim Haidar, M. Islam, Utpala Nanda Chowdhury, F. Huq, Julian M. W. Quinn, M. Moni","doi":"10.1109/IC4ME247184.2019.9036486","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036486","url":null,"abstract":"This paper presents network-based quantitative frameworks to study the complex relationship of cardiomyopathy (CMP) and risk factors that influence CMP progression in order to identify new CMP biomarkers. We analyzed gene expression microarray data from CMP affected and unaffected (control) tissues, and data from individuals with high body fat, high fat diet and type-II diabetes. We examined differentially expressed genes (DEGs) for each dataset and compared CMP with each factor pairwise to identify common DEG overlaps. In our analysis, 2589 DEGs are identified for CMP of which 1283 genes are over expressed and 1306 genes are under expressed. Protein-protein interaction (PPI) network found 10 core genes, namely SMARCA4, NCOR2 and histone genes HIST1H4K, HIST1H4I, HIST2H4B, HIST1H4H, HIST2H4A, HIST4H4, HIST1H4F and HIST1HL. Ontological and pathway analysis with this information identified significant pathways for CMP progression. The findings were validated using dbGaP (gene SNP-disease linkage) and OMIM databases for gold-standard benchmarking of their significance in disease progression. Thus, our network-based method identified a number of factors, notably histones, that may be pleiotropic influencing factors of the CMP.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"1 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":"129192003","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