Saly S. Hassaneen, H. Soliman, K. Elbarbary, A. Elhennawy
{"title":"Reducing the peak to average power ratio in MIMO OFDM systems","authors":"Saly S. Hassaneen, H. Soliman, K. Elbarbary, A. Elhennawy","doi":"10.1109/ICENCO.2013.6736488","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736488","url":null,"abstract":"Multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems have been receiving a great attention, as one of the solutions for achieving high speed, efficient, and high quality of service for wireless communications. However MIMO OFDM suffers from high PAPR, this demands expensive linear amplifiers with wide dynamic range. In MIMO OFDM systems, a straightforward way for PAPR reduction is to apply existing techniques separately on each transmit antenna, then the overall PAPR reduction is obtained. A proposed technique based on modified partial transmit sequences (PTS) using circular shifting and phase rotation is employed to achieve more reduction in the overall PAPR in MIMO OFDM, it exploits the extra degree of freedom provided by MIMO to reduce the overall PAPR. Two sub-optimal solutions for modified PTS are suggested, to reduce the complexity and side information in MIMO OFDM, with slight loss of PAPR reduction performance.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"56 6 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132030141","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}
{"title":"A new Generalized Data Stacking Programming (GDSP) model","authors":"Hala Elhadidy, R. Rizk, Hassan T. Dorrah","doi":"10.1109/ICENCO.2013.6736480","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736480","url":null,"abstract":"Six classes of the stack were recently introduced for describing the system change pathway under varying environment or events “on and above” the normal situations. Not only can stack store items at the top, but also can store items at the bottom, side(s), as outer ring, inner ring or randomly. The purpose of this paper is to develop the mathematical foundations and their programming algorithms for the necessary handling of the insertion and deletion operations in each of six generalized stacks. A Generalized Data Stacking Programming (GDSP) model is proposed to simulate what happen in the real world. GDSP uses the growing/shrinking matrix based implementation which is a generalization of the known array representation to be another way of implementing the stack.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133744234","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}
{"title":"Automatic liver Parenchyma segmentation from abdominal CT images","authors":"A. Anter, M. Elsoud, A. Hassanien","doi":"10.1109/ICENCO.2013.6736472","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736472","url":null,"abstract":"This article introduces hybrid automatic liver Parenchyma segmentation approach from abdominal CT images. The proposed approach consist of four main phases. Firstly, preprocessing phase which converts CT image into binary image using adaptive threshold method that examine the intensity values of the local neighborhood of each pixel. Then, the second phase is to apply multi-scale morphological operators to filter tissues nearby liver and to preserve the liver structure and remove the fragments of other organs. The third phase is a post-processing that uses connected component labeling algorithm (CCL) to remove small objects and false positive regions. The algorithm is tested using two different datasets and the experimental results obtained, show that the proposed approach are promising which could segment liver from abdominal CT in less than 0.6 s/slice and the overall accuracy obtained by the proposed approach is 93%.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134090685","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}
{"title":"Image sources separation for color mixtures","authors":"S. Eltaweel","doi":"10.1109/ICENCO.2013.6736478","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736478","url":null,"abstract":"In this paper, we have a mixture of two added images and it is required to separate the two image sources from the combined one after receiving the combined image and one of the two source images. The Discrete Wavelet Transform (DWT) is applied on the combined image. Also, it is applied on the corrupted and received image source. The high frequency components of the combined image and the image source are correlated. The result of correlation is used in classifying the pixel whether belongs to image source or zero. The experiment is applied on the other image source and the combined image. The performance is measured and compared to a recent paper in the same topic and the proposed method is proved to have better results than the results of the recent paper. In the recent paper, the color mixture is not considered, it is considered in our work and gave very good results.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128776277","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}
N. S. Labeeb, A. M. Mossa, Z. El Sanabary, Iman A. Badr, M. Y. El Nahas
{"title":"A framework for automatic analysis of digital fundus images","authors":"N. S. Labeeb, A. M. Mossa, Z. El Sanabary, Iman A. Badr, M. Y. El Nahas","doi":"10.1109/ICENCO.2013.6736467","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736467","url":null,"abstract":"The optic disc (OD), the blood vessels and the macula are the most important features in the retinal images. These features are used for automatic eye screening systems that provide an accurate and efficient tool for the early detection of many eye diseases. A method for detecting these features is presented in this paper. First, the blood vessels are detected by using the mathematical morphology. Then, based on the percentage of the brightest pixels in the OD, the temporal side is detected since it contains the brightest region in the OD. By combining the information from temporal side and blood vessels, the whole OD is segmented. Finally, the macula is extracted by using the spatial relationship with the OD. The proposed method is tested on two publicly databases DRIVE and DIARETDB1. The detection of the OD achieved a success rate of 97.5% and 95.5% for DRIVE and DIARETDB1 respectively while the macula is detected correctly with a success rate of 100% and 97.6% respectively.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130483579","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}
{"title":"Ensemble-based classifiers for prostate cancer diagnosis","authors":"Hanaa Ismail Elshazly, A. Elkorany, A. Hassanien","doi":"10.1109/ICENCO.2013.6736475","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736475","url":null,"abstract":"In this paper, we address microarray data sets dimensionality problem to achieve early and accurate diagnosis of prostate cancer without need to biopsy operation based rotation multiple classifier forest system. To evaluate the performance of presented approach, we present tests on different prostate data sets. The experimental results obtained, show that the overall accuracy offered by the employed technique is high compared with other machine learning techniques including random forest classifier, single decision trees and rough sets as well as features were reduced from 12600 features to 89 features using correlation filter method.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"432 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123051499","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}
{"title":"Applying formal concept analysis for visualizing DNA methylation status in breast cancer tumor subtypes","authors":"I. Amin, S. Kassim, A. Hassanien, H. Hefny","doi":"10.1109/ICENCO.2013.6736473","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736473","url":null,"abstract":"DNA methylation have been associated with cancer in several investigations. Methylation of CpG sites associated with genes can affect the expression of these genes. DNA methylation can be measured with Illumina microarrays. In this paper, formal concept analysis (FCA) is used as data mining tool to visualize the DNA methylation status among breast cancer tumor subtypes, by building formal concepts which represent each subtypes as a set of significant methylated genes, then the formal context is built which leads to construct a concept lattice. The concept lattice is the hierarchical order of the set of all concepts. This lattice visualizes the status of hypermethylated or hypomethylated genes among subtypes.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"209 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115562589","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}
{"title":"Enhanced hyperspectral image segmentation using wavelets transform","authors":"E. Hemayed, Reem Adel A. Megahed","doi":"10.1109/ICENCO.2013.6736477","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736477","url":null,"abstract":"Remote sensing technologies are very useful due to their wide practical applications. The latest new technology, hyperspectral imaging, could be a valuable tool to study and evaluate many economic and environmental issues. It offers an advanced monitoring technique in more detailed spectral information than previous remote sensing systems. The present work is devoted to the study of segmentation of hyperspectral imaging. The proposed approach depends on the principal component analysis to select the best features of the HS image. Then applying the wavelet transform to get different scales of the scene. Finally using the mean shift clustering technique we get the segmented image. The developed method is evaluated and proved result improvement over related work; it proved also that the segmented regions of the proposed approach are very smooth.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131943715","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}
Karama Ali Mohamed, M. S. Farhan, Mahmoud Mohamed Ahmed Abd Elatif
{"title":"Ontology-based concept maps for software engineering","authors":"Karama Ali Mohamed, M. S. Farhan, Mahmoud Mohamed Ahmed Abd Elatif","doi":"10.1109/ICENCO.2013.6736482","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736482","url":null,"abstract":"Ontology provides a formal representation of a shared conceptualization while conceptualization plays a major role in software engineering field, so ontology is recognized as a promising way to overcome the most of challenges of software engineering. A major bottleneck when developing ontologies for software project is the ability of stakeholders to understand and represent their knowledge. This paper provides a survey about using ontologies with software engineering and provides an ontology based concept for software engineering as a new approach to overcome some challenges that faces the use of ontology with software engineering.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128637758","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}
{"title":"A device for logging student driver's experience","authors":"A. Shaout, J. Gleichman, S. Awad","doi":"10.1109/ICENCO.2013.6736479","DOIUrl":"https://doi.org/10.1109/ICENCO.2013.6736479","url":null,"abstract":"This paper describes a system for helping teen drivers track there experience while training to obtain their driver's license. The proposed system is a portable in-vehicle device run by an embedded microcontroller that logs student driver hours and mileage and a PC program to create reports from the recorded data. The proposed device uses a GPS receiver to track distance traveled and time spent driving.","PeriodicalId":256564,"journal":{"name":"2013 9th International Computer Engineering Conference (ICENCO)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128105060","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}