2015 International Conference and Workshop on Computing and Communication (IEMCON)最新文献

A feature level multimodal approach for palmprint and knuckleprint recognition using AdaBoost classifier 基于AdaBoost分类器的特征级多模态掌纹和指关节纹识别方法

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344431

Iman Sheikh Oveisi, Morteza Modarresi

{"title":"A feature level multimodal approach for palmprint and knuckleprint recognition using AdaBoost classifier","authors":"Iman Sheikh Oveisi, Morteza Modarresi","doi":"10.1109/IEMCON.2015.7344431","DOIUrl":"https://doi.org/10.1109/IEMCON.2015.7344431","url":null,"abstract":"This paper represents a multimodal biometric recognition system by combining palmprint and knuckleprint images based on feature level fusion. We intend to propose an effective feature representation using Dual Tree-Complex Wavelet Transform which provides both approximate shift invariance and good directional selectivity. This representation is intends to better preserve the discriminable features in order to achieve less redundancy and high computational efficiency. AdaBoost classifier has been employed to address the problem of limited number of training data in unimodal systems. This is done by combining neural networks as weak learners. Here we do not regard the method presented as state-of-the-art; rather, we aim to show the efficiency of AdaBoost classifier in comparison with other matching approaches. Our researches indicate that no advanced paper has yet used this classifier in the design of palmprint and knuckleprint multimodal systems. The performance of our multimodal system using AdaBoost classifier is proved overall superior to unimodal and other matching approaches.","PeriodicalId":111626,"journal":{"name":"2015 International Conference and Workshop on Computing and Communication (IEMCON)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115167298","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: 6

Convex-hull & DBSCAN clustering to predict future weather 凸壳和DBSCAN聚类预测未来天气

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344438

Ratul Dey, Sanjay Chakraborty

引用次数: 13

Design and analysis of frequency tuned application specific microstrip antenna with angular DGS for wireless communication 带角DGS的无线通信专用调频微带天线的设计与分析

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344503

Srijita Chakraborty, Shayak Bhattacharyya, Sohon Sengupta, U. Chakraborty, M. Gangopadhyaya, Mrinmoy Chakraborty

引用次数: 0

Multi-constellation satellite signal characterization near the northern crest of Equatorial Ionization Anomaly (EIA) 赤道电离异常(EIA)北波峰附近多星座卫星信号特征

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344465

K. Chatterjee, A. Sen, A. Das

引用次数: 0

Instance transformation for declarative solvers or: Instant model finders 用于声明式求解器或:即时模型查找器的实例转换

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344487

Megan O’Connor, D. Mitchell

引用次数: 0

The dynamic nature of Congestion inInfiniBand infiniband拥塞的动态特性

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344436

Li-Yu Daisy Liu, R. Russell, Fabrice Mizero, M. Veeraraghavan, J. Dennis, Benjamin F. Jamroz

{"title":"The dynamic nature of Congestion inInfiniBand","authors":"Li-Yu Daisy Liu, R. Russell, Fabrice Mizero, M. Veeraraghavan, J. Dennis, Benjamin F. Jamroz","doi":"10.1109/IEMCON.2015.7344436","DOIUrl":"https://doi.org/10.1109/IEMCON.2015.7344436","url":null,"abstract":"The InfiniBand Congestion Control (CC) mechanism is able to reduce congestion and improve performance in many situations. In this paper we study the characteristics of congestion in InfiniBand by monitoring and analyzing the CC mechanism with a hardware analyzer. To the best of our knowledge, this is the first paper that presents experience with, and analysis of, the InfiniBand CC with such a tool. We found that there can be more than one “root of congestion”, as defined by the IBTA specification, existing at the same time in the congestion tree, and a “root of congestion” can be converted to a “victim of congestion” as its nature changes. We also observed that even with constant traffic flows, the “root of congestion” will shift from one place to another within the congestion tree, with corresponding consequence for packets from various traffic sources: traffic that might be negatively impacted by tree spreading and might be not contributing to the “root of congestion” before, will be treated as a congestion contributor and then be throttled by the CC mechanism.","PeriodicalId":111626,"journal":{"name":"2015 International Conference and Workshop on Computing and Communication (IEMCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128524446","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

Influences of learning styles on learner satisfaction in E-learning environment 网络学习环境下学习方式对学习者满意度的影响

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344511

H. Huiting, P. Prasad, A. Alsadoon, Kamini Bajaj

引用次数: 4

Allan variance the stability analysis algorithm for MEMS based inertial sensors stochastic error 基于随机误差的惯性传感器稳定性分析算法

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344524

R. Bhardwaj, Vipan Kumar, Neelesh Kumar

引用次数: 5

A hotspot aware taxi zone queuing system 热点感知出租车区域排队系统

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344451

C. Dow, Hsi-Chung Chen, Shiow-Fen Hwang

引用次数: 1

Formalizing big data processing lifecycles: Acquisition, serialization, aggregation, analysis, mining, knowledge representation, and information dissemination 形式化大数据处理生命周期:获取、序列化、聚合、分析、挖掘、知识表示和信息传播

2015 International Conference and Workshop on Computing and Communication (IEMCON) Pub Date : 2015-12-03 DOI: 10.1109/IEMCON.2015.7344533

Khalil A. Abuosba

{"title":"Formalizing big data processing lifecycles: Acquisition, serialization, aggregation, analysis, mining, knowledge representation, and information dissemination","authors":"Khalil A. Abuosba","doi":"10.1109/IEMCON.2015.7344533","DOIUrl":"https://doi.org/10.1109/IEMCON.2015.7344533","url":null,"abstract":"In today's e-Business environment, ERP, CRM, collaboration tools, and networked sensors may be characterized as data generators resources. Business Intelligence (BI) is a term that incorporates a range of analytical and decision support applications in business including data mining, decision support systems, knowledge management systems, and online analytical processing; processing data within these systems produce new data that are characterized to grow rapidly causing limitation problem of data management if handled by a Relational Database Management System (RDBMS) or statistical tools. Collectively these structured and unstructured data are referred to as Big Data. Successful and efficient handling of Big Data requires deployment of specific IT infrastructure components as well as adopting an emerging service model. In this research we introduce a conceptual model that abstracts the processing scheme of big data processing lifecycle. The model addresses the main phases of the lifecycle: data acquisition, data serialization, data aggregation, data analysis, data mining, knowledge representation, and information dissemination. The model is driven by projecting Service Oriented Architecture attributes to the building block of the lifecycle and adhering to the Lifecycle Modeling Language specification.","PeriodicalId":111626,"journal":{"name":"2015 International Conference and Workshop on Computing and Communication (IEMCON)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128064060","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: 6