2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)最新文献_第5页

Renova: A Techno-Strategic Commodity Locator Inception Renova:一个技术战略商品定位器的开端

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441705

Ms. Abhigna B.S, Sudeshna Chakraborty, Manik Arora

引用次数: 0

IoT based Security Model to Enhance Blockchain Technology 基于物联网的安全模型增强区块链技术

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441720

Saksham Awasthi, P. Johri, S. Khatri

引用次数: 4

Adaptive Spectrum Handoff Scheme in Cognitive Radio Ad-Hoc Networks 认知无线电Ad-Hoc网络中的自适应频谱切换方案

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441757

Atif Shakeel, Riaz Hussain, Adeel Iqbal, Irfan Latif, S. Malik, Babatunji Omoniwa

{"title":"Adaptive Spectrum Handoff Scheme in Cognitive Radio Ad-Hoc Networks","authors":"Atif Shakeel, Riaz Hussain, Adeel Iqbal, Irfan Latif, S. Malik, Babatunji Omoniwa","doi":"10.1109/ICACCE.2018.8441757","DOIUrl":"https://doi.org/10.1109/ICACCE.2018.8441757","url":null,"abstract":"Cognitive radio improves the spectrum utilization by permitting the secondary users in accessing the underutilized spectrum band of the primary network in an opportunistic manner. Spectrum handoff is considered as one of the important phases in cognitive cycle, where the secondary users have to vacate the occupied channel on the appearance of primary user for maintaining the QoS requirements of both primary and secondary communication. It also helps secondary users to find an appropriate target channel to resume its undone transmission either through switching handoff scheme or non-switching handoff process. The process of spectrum handoff becomes more critical in cognitive radio ad-hoc networks, as the coordination among the secondary users is a challenging task. This research presents an analytical model for the performance evaluation of secondary users, in terms of extended data delivery time for both switching and non-switching spectrum handoff in ad-hoc network environment. Channel rendezvous among secondary users is achieved usings of common control channel. The results achieved are based on preemptive resume priority M/M/1 queuing network, considering varying number of secondary users, their average arrival and service time. An adaptive spectrum handoff is proposed based on the primary user traffic intensity, number of SU and total number of primary channels.","PeriodicalId":214619,"journal":{"name":"2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126468944","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: 3

IoT based Car Pollution Detection Using AWS 基于物联网的汽车污染检测使用AWS

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441730

Aditya Bhatnagar, V. Sharma, G. Raj

引用次数: 12

A Blockchain-based Secure IoT Control Scheme 基于区块链的安全物联网控制方案

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441717

S. Choi, J. Burm, Wonjin Sung, J. Jang, Young Ju Reo

引用次数: 18

To detect and Recognize Object from Videos for Computer Vision by Parallel Approach using Deep Learning 基于深度学习并行方法的计算机视觉目标检测与识别

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441718

G. Nalinipriya, Balamurugan Baluswarny, Rizwan Patan, Suresh Kallam, Tamizharasi Gs, M. R. Babu

{"title":"To detect and Recognize Object from Videos for Computer Vision by Parallel Approach using Deep Learning","authors":"G. Nalinipriya, Balamurugan Baluswarny, Rizwan Patan, Suresh Kallam, Tamizharasi Gs, M. R. Babu","doi":"10.1109/ICACCE.2018.8441718","DOIUrl":"https://doi.org/10.1109/ICACCE.2018.8441718","url":null,"abstract":"Computer vision is the multidisciplinary domain extracts and analyses digital images in an automated manner. The application of computer vision is widespread and it ranges from agriculture to robotics. At present, computer vision adopts the concept of machine learning to build a model and solves classification problems. However, this technique becomes inefficient when it is directly applied to digital images as it ignores the structure and compositional nature of the images. Deep Convolutional Neural Network (CNN) acts as the best solution to traditional computer vision approaches as it learns to extract features from the raw images along with the classification process. In this paper, we present a deep learning based solution to computer vision problem. First, we define a CNN based approach to learn and extract features from the real time videos. Next, an extended linear support vector machine (SVM) classifier is used for object classification processes. Thus the proposed method make use of the combinational approach of the deep learning and machine learning to solve computer vision problems. Since deep CNN are massively parallel algorithms the application of CNN techniques with GPU forms the effective solution for computer vision problems. The experimental results are evaluated in terms performance, accuracy and simplicity measures.","PeriodicalId":214619,"journal":{"name":"2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"75-76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124008071","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

Analysis of Cache in Service Worker and Performance Scoring of Progressive Web Application Service Worker缓存分析及渐进式Web应用的性能评分

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441715

Abhi Gambhir, G. Raj

引用次数: 0

Analysis of Weather Prediction using Machine Learning & Big Data 利用机器学习和大数据分析天气预报

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441679

Shubham Madan, Praveen Kumar, S. Rawat, T. Choudhury

{"title":"Analysis of Weather Prediction using Machine Learning & Big Data","authors":"Shubham Madan, Praveen Kumar, S. Rawat, T. Choudhury","doi":"10.1109/ICACCE.2018.8441679","DOIUrl":"https://doi.org/10.1109/ICACCE.2018.8441679","url":null,"abstract":"The whole world is plagued by the dynamical clement and their facet, to cut back this facet effects up to some extent there are several techniques and algorithms through which we will predict the weather on the ready reference along with respective context of given information from past years example temperature, dew, humidity air pressure and wind direction,. When doing the analysis of existing data from past few years we inculcated the proposed scheme or techniques which have a tendency to conclude that, machine learning paradigm and permits us to research the given set of knowledge and extract the helpful information from the given dataset, thus so as to grasp the unsteady patterns of climatic conditions, a prognosticative model is also persuaded. During this paper or scheme, we have a tendency to explore progressive statistical linear regression and support vector machine techniques of machine learning that teams' constant kind information sets along and to prefigure the forecast or weather prediction. Under the proposed scheme we have a tendency to inculcate the augmented algorithmic rule that provides approximate and nearby results to forecast the climate for the next 5 days and at the end results are calculated on the idea of mathematical and statistical decision tree and conditions vide confusion matrix for more appropriate and accurate forecasting using Big Data.","PeriodicalId":214619,"journal":{"name":"2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131221189","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: 10

Comparative Study of Classification Algorithms for Big Data in VANET VANET中大数据分类算法的比较研究

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8458065

Bahije Najat, E. Salah

引用次数: 2

Web-based Visualization and Navigation of the Content of SNOMED CT 基于web的SNOMED CT内容可视化与导航

2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) Pub Date : 2018-06-01 DOI: 10.1109/ICACCE.2018.8441707

Schillaci McInnis, Ankur Agrawal

引用次数: 1