2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence最新文献_第7页

A novel approach for encoding and decoding of high storage capacity color QR code 一种新的高存储容量彩色QR码编码解码方法

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943188

Ashwdeep Singh, Vikas Verma, G. Raj

{"title":"A novel approach for encoding and decoding of high storage capacity color QR code","authors":"Ashwdeep Singh, Vikas Verma, G. Raj","doi":"10.1109/CONFLUENCE.2017.7943188","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943188","url":null,"abstract":"With the enhancement in mobile technology, QR (Quick Response) codes became popular. QR codes are widely used in our daily life from social media websites to cashless shopping wallets, ERP(Enterprise Resource Planning) software implementation to display advertising and digital marketing etc. In this paper we have focused upon one major issue with the QR codes. We have focused upon data various techniques used to increase data storage capacity of QR code. This paper is divided into five subparts. In first part we have introduced about basics of QR codes, their versions, creating and scanning process and its various applications. Then in second part we have written about various features of QR codes, due to them QR code became so popular and we have also discussed about its structure to understand its basic functionality. Thereafter we have compared three different kinds of co des-b ar code, quick response code and color quick response code, on the basis of its storage capacity, error resistance, 360° reading and other factors. Then in fourth part we have reviewed the literature and mentioned various techniques used by researcher to in crease data storage capacity of QR codes. In fifth part of this research paper we have proposed encoding and decoding algorithm, which will result into high storage color QR code. And a t the end, we have discussed about our future directions in order to increase storage capacity of QR codes and make stored information more secure and reliable for the end users.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"23 1","pages":"425-430"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87356555","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

UIDC: Cloud based UID application UIDC:基于云的UID应用

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943169

Shubham Gupta, R. Johari

引用次数: 3

Architectural scheme for future embedded systems involving large number of processing cores 未来涉及大量处理核心的嵌入式系统的体系结构方案

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943181

S. Jafar, Pankaj Kumar, Ranjana Rajnish, Minsa Jafar

{"title":"Architectural scheme for future embedded systems involving large number of processing cores","authors":"S. Jafar, Pankaj Kumar, Ranjana Rajnish, Minsa Jafar","doi":"10.1109/CONFLUENCE.2017.7943181","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943181","url":null,"abstract":"Embedded system design is the core for many time constraint application designs like avionics and railways. These systems employ multi core architecture for faster and time critical applications. Use of multi cores as the processing part is ever challenging due to the complexities involved in their designs, memory architecture, issues related to synchronization between the cores and problems like deadlock between the executing cores. Also as per the Moore's Law, number of cores on as ingle processing element increase exponentially becoming double after every 18 months. In the face of such fast increasing cores the time is not far when there will be 100 or 1000 of cores on a single chip. Then there will be bigger challenges of dealing with problems like heat dissipation, concurrency control and speedy communication between the cores, without compromising the performance and outcome of embedded systems employing these multiple cores. In this paper we have studied some of the pre existing protocols and technologies for handling concurrency in large number of multi core systems and have proposed a framework for concurrency control with a routing protocol for multi core system employing 64 cores. Then we have proposed to scale this system for higher number of cores leading to up to 100 cores and w ill study the performance on an embedded system.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"174 1","pages":"392-396"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79628557","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

Software defect prediction analysis using machine learning algorithms 利用机器学习算法进行软件缺陷预测分析

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943255

Praman Deep Singh, A. Chug

引用次数: 52

Hyper spectral image classification using multilayer perceptron neural network & functional link ANN 基于多层感知器神经网络和功能链接神经网络的超光谱图像分类

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943230

Anita Thakur, Deepak Mishra

{"title":"Hyper spectral image classification using multilayer perceptron neural network & functional link ANN","authors":"Anita Thakur, Deepak Mishra","doi":"10.1109/CONFLUENCE.2017.7943230","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943230","url":null,"abstract":"The human eye can perceive information from the visible light in terms of bands of three colors (red, green, blue), so generally images store in the digital are made up of three dimensions i.e., R, G and B. But hyper spectral imaging perceives information from across the electromagnetic spectrum; the process of spectral imaging further splits the spectrum into more bands. This process of changing images into bands can be even in the invisible spectrum. Hence the hyper spectral images can be considered as n-dimensional matrices and each pixel can be regarded as n-dimens ional vector. These images contain various areas with similar characteristics like crop fields, forest area and deserts. To classify such regions one has look for certain features among the captured images. Some similarity measures should be undertaken to make clusters of areas having similar characteristics from the images. Finding the relative similarities in terms of numerical score can be carried out with the help of some standard algorithm. So, feature classification on basis of relative similarities pixel is robust method. In this paper proposing classification of hyper spectral images using Multilayer Perceptron Artificial Neural Network (MLPANN) and Functional Link Artificial Neural Network (FLANN) and their performance is compare in term of accuracy rate.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"27 1","pages":"639-642"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74062008","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: 9

Device independent activity monitoring using smart handhelds 使用智能手持设备进行设备独立活动监控

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943184

Jayita Saha, C. Chowdhury, Supama Biswas

引用次数: 4

Experimental study of IP spoofing attack in 6LoWPAN network 6LoWPAN网络中IP欺骗攻击实验研究

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943192

Monali Mavani, Krishna Asawa

引用次数: 1

Post-disaster relief distribution using a two phase bounded heuristic approach 基于两阶段有界启发式方法的灾后救援分配

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943139

B. Mishra, K. Dahal, Zeeshan Pervez

{"title":"Post-disaster relief distribution using a two phase bounded heuristic approach","authors":"B. Mishra, K. Dahal, Zeeshan Pervez","doi":"10.1109/CONFLUENCE.2017.7943139","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2017.7943139","url":null,"abstract":"Relief logistics distribution to disaster affected areas is crucial that needs quick and effective action. Logistics distribution through an efficient method is essential for easing the impact of the disaster in the affected areas. Disaster is non-deterministic, highly composite and uncertain in nature, therefore, the relief logistics distribution becomes a challenging task. Relief items can be distributed either from a single node or from multiple distributed nodes. Resources available at distributed nodes are not utilized when only single node logistics distribution is used. This paper presents a two-phase bounded heuristic approach for logistics distribution as a response to the post-disaster relief operation. The proposed approach is focused on two major objectives: minimization of unmet demand and travel distance. Simulated disaster scenario is synthesized as a case study for the distribution of relief items. The results indicate that the proposed approach is effective in logistic scheduling. It improves the relief logistics distribution systems in the disasters affected areas by utilizing the resources available at distributed nodes hence leads to decline in unmet demands level with minimum travel time.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"49 1","pages":"143-148"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75212224","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

Performance analysis of frequency domain based feature extraction techniques for facial expression recognition 基于频域特征提取技术的面部表情识别性能分析

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943220

Neha Janu, Pratistha Mathur, S. Gupta, S. Agrwal

引用次数: 7

Implementation of K-means clustering in ECB framework of cloud computing environment 云计算环境下ECB框架中K-means聚类的实现

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI: 10.1109/CONFLUENCE.2017.7943165

Stobak Dutta, S. Sengupta

引用次数: 2