2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)最新文献_第5页

Communication characteristics of parallel shared-memory multicore applications 并行共享内存多核应用程序的通信特性

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360553

Mohammed Sultan Mohammed, Gheith A. Abandah

{"title":"Communication characteristics of parallel shared-memory multicore applications","authors":"Mohammed Sultan Mohammed, Gheith A. Abandah","doi":"10.1109/AEECT.2015.7360553","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360553","url":null,"abstract":"Multicore processor architectures have been gaining increasing popularity in recent years. However, many available applications cannot take full advantage of these architectures. Therefore, many researchers have developed several characterization techniques to help programmers to understand the behavior of these applications on multicore platforms and to tune them for better efficiency. Characterizing the communication characteristics is important to help programmers to avoid the expensive communication patterns. This paper proposes an on-the-fly, configuration-independent characterization approach for characterizing the inherent communication characteristics of multicore applications. This approach is fast because it does not depend on the details of any specific machine configuration and does not require repeating the characterization for every target configuration. It just keeps track of memory accesses and the cores that perform these accesses through piping memory traces on-the-fly to the analysis tool. We applied this approach to characterize eight applications drawn from SPLASH-2 and PARSEC benchmark suites. This paper presents the communication characteristics of these applications including communication patterns, sharing degree, invalidation degree, and communication locality. The results indicate that SPLASH-2 has higher communication rates than PARSEC and these rates generally increase as the number of used threads increases. Most of the sharing and invalidation occurs in small degrees. However, two of SPLASH-2 applications have significant fraction of communication with high sharing degrees involving four or more threads. Most of the applications have some uniform communication component and the initial thread is generally involved in more communication compared to the other threads.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124591289","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: 2

An indoors AoA study for mobile phones utilizing frequency reconfigurable MIMO antennas 使用频率可重构MIMO天线的移动电话室内AoA研究

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360535

U. Johar, R. Hussain, A. Muqaibel, Wajih Abu-Saud, M. Sharawi

引用次数: 3

Variable Step-Size Transform Domain ILMS and DLMS algorithms with system identification over adaptive networks 自适应网络中具有系统辨识的变步长变换域ILMS和DLMS算法

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360542

Ali Almohammedi, M. Deriche

引用次数: 4

Analysis of Enhanced Distributed Channel Access protocol under non-saturation 非饱和条件下增强型分布式信道接入协议分析

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360536

Ahmed Abu-Khadrah, Zahriladha Zakaria, M. Othman, M. Zin

引用次数: 1

Data normalization for triangle features by adapting triangle nature for better classification 利用三角形的性质对三角形特征进行数据归一化，以达到更好的分类效果

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360572

M. S. Azmi, Nur Atikah Arbain, A. Muda, Z. Abas, Zulkiflee Muslim

{"title":"Data normalization for triangle features by adapting triangle nature for better classification","authors":"M. S. Azmi, Nur Atikah Arbain, A. Muda, Z. Abas, Zulkiflee Muslim","doi":"10.1109/AEECT.2015.7360572","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360572","url":null,"abstract":"Geometry features especially triangle has been widely used in face, fingerprint, vehicle detection and digit recognition. Features from the triangle are used to generate useful features for classification processed. Recently, triangle features used in digit recognition has adopted angle as part of features. This has influenced accuracy due to big gap between angle values and other feature values such as ratio and gradient of sides. To overcome this issue, data normalization can be used to address the issue. Experiments have been made using existing normalization techniques such as Z-score, Minimax and libSVM scale function. Experiments have been conducted using Z-Score and libSVM scale function, but results of classification are worst compared to triangle features without normalization. Thus, the results of classification can be improved by proposed a new technique of normalization based on nature of triangle geometry. In this paper, we have proposed a new normalization technique by adopting the nature of triangle geometry. Datasets HODA, MNIST, IFHCDB and BANGLA digit have been chosen to extract triangle features. Then, we will apply normalization on the extracted features before classify them by using Support Vector Machine. The results shows normalization by adapting the nature of triangle geometry gives better result compared to other techniques. The proposed normalization technique only applies to Cartesian Plane Zone that contributes 45 features. The benchmarking for other researchers should refer to our 25 zones that give 225 features of triangle geometry.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115060637","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: 11

Reversible data hiding based on histogram shifting of prediction errors using two predictors 基于直方图偏移的可逆数据隐藏

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360540

Enas N. Jaara, I. Jafar

{"title":"Reversible data hiding based on histogram shifting of prediction errors using two predictors","authors":"Enas N. Jaara, I. Jafar","doi":"10.1109/AEECT.2015.7360540","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360540","url":null,"abstract":"Reversible data hiding (RDH) is a special class of steganography that can not only embed secret data into images, but also can restore the original images after secret data are extracted. Prediction-based techniques constitute an important class of reversible data hiding methods. However, most prediction-based RDH rely on the use of a single predictor to compute predictions that are used for data embedding. This may restrict the embedding capacity and image quality. The objective of this paper is to improve the efficiency of prediction-based reversible data hiding algorithms by proposing an algorithm that employs multiple predictors to take advantage of their varying characteristics and prediction accuracy in order to increase the embedding capacity. The proposed algorithm is based on the efficient modification of prediction errors (MPE) algorithm; however, it incorporates two predictors and uses only one bin of the prediction errors histogram for data embedding. The performance evaluation of the proposed algorithm showed its ability to increase the embedding capacity with competitive image quality without the need for additional overhead information.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127294946","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: 7

Automated electrical stimulation and physical activity monitoring of zebrafish larvae 斑马鱼幼体的自动电刺激和身体活动监测

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360529

Q. Al-Jubouri, W. Al-Nuaimy, M. Al-Taee, J. L. Luna, L. Sneddon

引用次数: 10

A low complexity direction finding system based on a six-port integrated MIMO antenna system 基于六端口集成MIMO天线系统的低复杂度测向系统

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.5455/JJCIT.71-1450162922

R. Hussain, A. Muqaibel, Wajih A. Abu-Al-Saud, M. Sharawi

引用次数: 0

An innovative design and evaluation of a stratified hot water storage system - the Water Snake 一种分层热水储存系统的创新设计和评价-水蛇

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360564

S. Fanshawe, A. Al-Habaibeh, B. Shakmak

引用次数: 4

Automatic electricity meter reading based on image processing 基于图像处理的电表自动抄表

2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) Pub Date : 2015-12-21 DOI: 10.1109/AEECT.2015.7360571

Lamiaa A. Elrefaei, Asrar Bajaber, Sumayyah Natheir, Nada AbuSanab, Marwa Bazi

{"title":"Automatic electricity meter reading based on image processing","authors":"Lamiaa A. Elrefaei, Asrar Bajaber, Sumayyah Natheir, Nada AbuSanab, Marwa Bazi","doi":"10.1109/AEECT.2015.7360571","DOIUrl":"https://doi.org/10.1109/AEECT.2015.7360571","url":null,"abstract":"This paper introduces a system based on image processing to obtain efficiently and accurately reading of the electricity digital meter. In this system the back camera of the mobile phones is used to acquire the image of the electricity meter. The system then applies a sequence of image processing functions to automatically extract and recognize the digits of the meter reading image. This image goes through three main stages: preprocessing which ends up with cropping the numeric reading area, segmentation of individual digits using horizontal and vertical scanning of the cropped numeric area, and recognition of the reading by comparing each segmented digit with the digits templates. The proposed system is implemented using Android Studio software with openCV library and has been tested on 21 images of electric meters captured by Smartphone camera in Saudi Arabia, and results shows a recognition with the accuracy rate of 96,49% (per number digit) and 85.71% accuracy rate for the electricity meter readings. The proposed system will be used in the future to develop a mobile application that could be used by the electricity company employees to facilitate the reading process.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130059978","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: 34