2011 International Conference on Innovations in Information Technology最新文献_第6页

IT integration in power distribution substation, AADC substations' automation and management 配电变电站IT集成、AADC变电站自动化与管理

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893797

K. W. Darwish

引用次数: 0

An automated assessment and reporting tool for introductory Java programs 用于介绍性Java程序的自动评估和报告工具

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893842

Fatima AlShamsi, Ashraf Elnagar

引用次数: 5

A survey of indoor positioning systems and algorithms 室内定位系统和算法综述

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893813

Klaithem Al Nuaimi, Hesham Kamel

引用次数: 229

Incremental evolution of collective network of binary classifier for content-based image classification and retrieval 基于内容的图像分类与检索二元分类器集体网络的增量进化

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893823

S. Kiranyaz, Stefan Uhlmann, Jenni Raitoharju, T. Ince, M. Gabbouj

{"title":"Incremental evolution of collective network of binary classifier for content-based image classification and retrieval","authors":"S. Kiranyaz, Stefan Uhlmann, Jenni Raitoharju, T. Ince, M. Gabbouj","doi":"10.1109/INNOVATIONS.2011.5893823","DOIUrl":"https://doi.org/10.1109/INNOVATIONS.2011.5893823","url":null,"abstract":"In this paper, we propose an incremental evolution scheme within collective network of (evolutionary) binary classifiers (CNBC) framework to address the problem of incremental learning and to achieve a high retrieval performance for content-based image retrieval (CBIR). The proposed CNBC framework can still function even though the training (ground truth) data may not be entirely present from the beginning and thus the system can only be evolved incrementally. The CNBC framework basically adopts a “Divide and Conquer” type approach by allocating several networks of binary classifiers (NBCs) to discriminate each class and performs evolutionary search to find the optimal binary classifier (BC) in each NBC. This design further allows such scalability that the CNBC can dynamically adapt its internal topology to new features and classes with minimal effort. Both visual and numerical performance evaluations of the proposed framework over benchmark image databases demonstrate its efficiency and accuracy for scalable CBIR and classification.","PeriodicalId":173102,"journal":{"name":"2011 International Conference on Innovations in Information Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125657191","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

Countermeasures against consistency anomalies in distributed integrated databases with relaxed ACID properties 放宽ACID特性的分布式集成数据库一致性异常对策

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893830

L. Frank

引用次数: 12

The unequal protection of Network Coding with multi-generation mixing 多代混合网络编码的不平等保护

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893837

Mohammed D. Halloush, H. Radha

引用次数: 4

Experimental evaluation of image compression and transmission for TinyOS-based imote2 platform 基于tinos的imote2平台图像压缩与传输的实验评价

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893811

M. Mowafi, F. Awad, E. Taqieddin, O. Banimelhem

引用次数: 7

Intelligent techniques for image segmentation in cell tracking and mobility analysis 细胞跟踪和移动分析中图像分割的智能技术

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893846

A.A. Aly, S. Deris, N. Zaki

{"title":"Intelligent techniques for image segmentation in cell tracking and mobility analysis","authors":"A.A. Aly, S. Deris, N. Zaki","doi":"10.1109/INNOVATIONS.2011.5893846","DOIUrl":"https://doi.org/10.1109/INNOVATIONS.2011.5893846","url":null,"abstract":"Segmentation and tracking of cells is important step in cell motility studies. Over the past two decades, researchers have developed powerful methods for detecting and tracking the living cells. To improve the overall living cells tracking systems performance, we focused on developing a novel algorithm for image processing. This paper presents novel image segmentation and tracking system technique to incorporate the advantages of both Topological Alignments and snakes. Where the initial segmentation by Topological Alignments is firstly transformed into the input of the snake model and begins its evolvement to the interested object boundary and analyzes the cells mobility. In our experiments, we compared our algorithm with traditional snake. The results demonstrate that the proposed algorithm achieves accurate tracking for detecting and analyzing the mobility of the living cells. Our results indicate better segmentation and more accurate tracking for detecting and analyzing the mobility of the living cells. We have achieved better tracking and detecting for the cells, also dealing with under and over segmentation.","PeriodicalId":173102,"journal":{"name":"2011 International Conference on Innovations in Information Technology","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132843170","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

Revocation in VANETs: A survey VANETs的撤销:调查

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893820

Hind Obaid Al Falasi, E. Barka

引用次数: 23

Adaptive scheduling in mobile ad hoc networks using reinforcement learning approach 基于强化学习方法的移动自组织网络自适应调度

2011 International Conference on Innovations in Information Technology Pub Date : 2011-04-25 DOI: 10.1109/INNOVATIONS.2011.5893856

Malika Bourenane

引用次数: 2