2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)最新文献_第2页

Efficient robot navigation for semi-structured indoor storehouse 半结构化室内仓库的高效机器人导航

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129468

Kai Sun, Yuanlong Yu, J. Gu

引用次数: 1

Design of adaptive antenna systems for LTE using Genetic Algorithm and Particle Swarm Optimization 基于遗传算法和粒子群优化的LTE自适应天线系统设计

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129420

Naga Raghavendra Surya Vara Prasad Koppisetti, Shankhanaad Mallick, V. Bhargava

引用次数: 1

Greener electric vehicles with VANETs 配备VANETs的绿色电动汽车

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129394

Maazen Alsabaan

引用次数: 2

Robustness of wavelet domain watermarking against scaling attack 小波域水印对尺度攻击的鲁棒性研究

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129451

Yashar Naderahmadian, S. Beheshti

引用次数: 3

The study of hybrid modulation based on cascade SVG and its DC control method 基于级联SVG的混合调制及其直流控制方法的研究

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129356

G. Yao, Luan He, Xin Wang, Lidan Zhou, Huajun Yu

引用次数: 1

Time-variant acoustic propagation characterization in seaport deployments 海港部署中的时变声传播特性

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129506

Jean-François Bousquet, G. McIntyre, J. Quirion

引用次数: 4

A unified practical approach to modulation classification in cognitive radio using likelihood-based techniques 基于似然技术的认知无线电调制分类的统一实用方法

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129415

A. Salam, R. Sheriff, S. Al-Araji, K. Mezher, Q. Nasir

{"title":"A unified practical approach to modulation classification in cognitive radio using likelihood-based techniques","authors":"A. Salam, R. Sheriff, S. Al-Araji, K. Mezher, Q. Nasir","doi":"10.1109/CCECE.2015.7129415","DOIUrl":"https://doi.org/10.1109/CCECE.2015.7129415","url":null,"abstract":"The automatic classification of digital modulated signals has been subject to extensive studies over the last decade, with numerous scholarly articles and research studies published. This paper provides an insightful guidance and discussion on the most practical approaches of automatic modulation classification (AMC) in cognitive radio (CR) using likelihood based (LB) statistical tests. It also suggests a novel idea of storing the known constellation sets on the receiver side using a look-up table (LUT) to detect the transmitted replica. Relevant performance measures with simulated comparisons in flat fading additive white Gaussian noise (AWGN) channels are examined. Namely, the average likelihood ratio test (ALRT), generalized LRT (GLRT) and hybrid LRT (HLRT) are particularly illustrated using linearly phase-modulated signals such as M-ary phase shift keying (MPSK) and quadrature amplitude modulation (MQAM). When the unknown signal constellation is estimated using the maximum likelihood (ML) method, results indicate that the HLRT performs well and near optimal in most situations without extra computational burden.","PeriodicalId":218111,"journal":{"name":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129028574","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

Optimization of control parameters using averaging of handover indicator and received power for minimizing ping-pong handover in LTE 基于切换指标和接收功率平均的LTE控制参数优化

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129166

N. Hassan, K. Elkhazeen, Kaarman Raahemiafar, Xavier N Fernando

引用次数: 8

A robust classification model based on iBSA and GCA biomarkers for diagnosis of epilepsy 基于iBSA和GCA生物标志物诊断癫痫的鲁棒分类模型

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129180

Ali Hassan, F. Riaz, A. Basit

{"title":"A robust classification model based on iBSA and GCA biomarkers for diagnosis of epilepsy","authors":"Ali Hassan, F. Riaz, A. Basit","doi":"10.1109/CCECE.2015.7129180","DOIUrl":"https://doi.org/10.1109/CCECE.2015.7129180","url":null,"abstract":"Presence of neurobiological disorder, like epilepsy, causes abnormalities in brain functionality. This is why connectivity and activity patterns of brain regions in epileptic patients are very different as compared with healthy subjects. These asymmetries can be used to distinguish epileptic patients from healthy subjects. Robust features are extracted to capture asymmetries in connectivity patterns. However, these features do not give any information about the brain activity in a particular local region. So in order to get better classification accuracy, we need robust features to capture asymmetries in regional activities. In this paper, we propose a novel feature set that captures abnormalities in activities at local regional level by finding inter subject blood oxygen level dependent (BOLD) signal asymmetries (iBSA). By combining this iBSA with asymmetries in global connectivity patterns, we are able to capture all asymmetries at global network as well as local regions in only 225 features. Employing these 225 features and support vector machines for classification, an overall accuracy of 86.6% was obtained on resting state fMRI (rfMRI) data of 180 subjects without any feature selection. The results presented in this paper are better than any other reported results in current literature.","PeriodicalId":218111,"journal":{"name":"2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123360343","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

Design of a 50nW, 0.5VDD sub-threshold OTA amplifier with indirect compensation technique and class AB output stage 采用间接补偿技术和AB级输出级的50nW、0.5VDD亚阈值OTA放大器的设计

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2015-05-03 DOI: 10.1109/CCECE.2015.7129316

R. Ganta, Mengye Cai, K. Fricke, R. Sobot

引用次数: 3