{"title":"Multiple queries optimization for data streams on cloud computing","authors":"Fatma M. Najib, R. Ismail, N. Badr, M. Tolba","doi":"10.1109/ICCES.2015.7393012","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393012","url":null,"abstract":"Most of the recent applications such as sensor networks applications, financial applications and click-streams applications generate continuous, rapid, unbounded and time varying datasets that are called data streams. In this paper we proposed a multiple queries optimization for data streams processing on cloud computing (MQODS) frameworks that efficiently execute multiple queries simultaneously on the cloud environment based on their commonalities (common sub-queries). Also we proposed the optimized global plan (OGP) algorithm for data streams' multiple queries over the cloud environment. It generates an optimized global plan for executing multiple continuous queries at the same time on cloud environments. The experimental results prove that the proposed solution MQODS improves the overall performance of data stream processing over multiple queries on the cloud environment.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114364636","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}
S. M. El-Feky, A. M. Zaki, Ayman M. Bahaa-Eldin, M. H. El-Shafey
{"title":"Identification of systems with fast and slow dynamics using non-uniform sampling","authors":"S. M. El-Feky, A. M. Zaki, Ayman M. Bahaa-Eldin, M. H. El-Shafey","doi":"10.1109/ICCES.2015.7393021","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393021","url":null,"abstract":"This paper presents a new approach for modeling linear time invariant (LTI) discrete systems with fast and slow dynamics from its input-output data. The new method selects the `best' sample spacing among the output samples to best fit the model to the input-output data. The singular value decomposition (SVD) is used to find the `best' sample spacing to reduce the size of the data matrix in a way such that we catch both slow and fast system dynamics on one hand and still improve the numerical condition of the reduced matrix in order to increase the immunity of the parameter estimation problem against data noise.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130120005","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":"SystemC based simulation of AUTOSAR software components","authors":"Tariq S. Shatat, Bassem A. Abdullah, A. Salem","doi":"10.1109/ICCES.2015.7393028","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393028","url":null,"abstract":"AUTOSAR is a software methodology commonly used in automotive software system design and implementation. It provides high level of abstraction for the designer through the concept of software components (SWC) and virtual function bus (VFB). Unfortunately, no mature simulation tool is available to simulate the system at the VFB level which disables evaluating the model before system integration. On the other hand, SystemC provides a framework to simulate, analyze, and verify software. Besides, it considers the timing behavior of hardware and communication buses. The similarities and analogies between SystemC modeling components and AUTOSAR software component (SWC) modeling encourages us to rely on SystemC to propose a flow to the designer of AUTOSAR system for timing simulation purpose. In this paper, we present a tool that uses SystemC simulation kernel to provide quick simulation for the designer of Automotive based systems.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522705","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":"Blind image deblurring using sparse dictionary and orthogonal projections of filtered patches","authors":"I. El-Henawy, A. Ali, K. Ahmed, Hadeer Adel","doi":"10.1109/ICCES.2015.7393059","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393059","url":null,"abstract":"In this paper, we present a new blind image deblurring technique based on sparse representation and orthogonal projections of filtered patches. First, we use predefined sparse dictionaries to estimate an initial version of the latent image. To estimate the PSF, four stages are performed. First, a set of directional low-pass filters are applied to the input image. These filters greatly reduces the noise while preserving the blur info in the orthogonal direction. Second, an initial kernel estimation is performed for each filtered image using the initial latent image that was produced by sparse representation. Third, discrete radon transform is applied to each estimated kernel on the orthogonal direction to the low-pass filter and the set of projections at different angles are stored. Fourth, an inverse discrete radon transform is applied to the stored projections and the estimated final kernel is produced. Finally, iterative deconvolution approach is performed to estimate the final latent sharp image. Experimental results showed that the best obtained PSNR is 28.654 at 0.054 noise ratio, whereas the best obtained SSIM is 0.9265 at also 0.054 noise ratio.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134285451","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 classification framework for diagnosis of focal liver diseases","authors":"Tarek M. Hassan, Mohammed M Elmogy, E. Sallam","doi":"10.1109/ICCES.2015.7393083","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393083","url":null,"abstract":"Computer-aided detection/diagnosis (CAD) systems are critical for doctors to understand the medical images and to improve the accuracy of detection/diagnosis of various diseases. The goal of this paper is to propose a classification framework for diagnosing different focal liver diseases based on ultrasound (US) images. Ultrasound medical imaging is one of the most common modality, which is used in diagnostic systems because of its safety and cost effectiveness. In this paper, we introduced a framework for a CAD system to diagnosing three classes of focal liver diseases, which are Cyst, Hemangioma (HEM), and Hepatocellular Carcinoma (HCC). The proposed system begins with a preprocessing step to make enhancement and noise removal of US images using a median filter. The segmentation of the liver lesions regions is done using level set method followed by the fuzzy c-mean clustering algorithm. Finally, we have used a multi-support vector machine (multi-SVM) classifier to diagnosis the classes of the focal liver diseases. By using 10-fold cross validation method, we have got an overall classification accuracy of 96.5%. Our proposed system is compared with some state of the art techniques. The experimental results show that the proposed system gives better overall accuracy than the other tested techniques.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116239525","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":"Adaptive chaotic frequency hopping","authors":"Ahmed E. Mansour, Walid Saad, S. E. El Ramly","doi":"10.1109/ICCES.2015.7393068","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393068","url":null,"abstract":"Chaotic systems are widely used as robust and secure communication systems in jamming environments. Frequency hopping spread spectrum (FHSS) is an effective mechanism used to mitigate the effects of jamming, fading, and interference. To improve the performance of FHSS many adaptive frequency hopping schemes are used such as matched frequency hopping (MFH), clipped matched frequency hopping (CMFH), and advanced matched frequency hopping (AMFH). These schemes adaptively select the hopping pattern that includes only good sub-channels. Using these schemes result in forcing the system to be vulnerable to smart jammer attack. In this paper we propose a new algorithm that synthesizes one dimensional chaotic map which generates a random code that mostly selects good sub-channels to achieve good bit error rate (BER), good frequency diversity, and secure transmission provided by the high randomness properties of the chaotic systems.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122782314","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}
Khaled Soliman, M. Sobh, Ayman M. Bahaa-Eldin, E. Hegazi
{"title":"Energy aware Secure Clustering in Mobile Ad hoc Networks","authors":"Khaled Soliman, M. Sobh, Ayman M. Bahaa-Eldin, E. Hegazi","doi":"10.1109/ICCES.2015.7393053","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393053","url":null,"abstract":"Mobile Ad hoc Networks (MANETs) suffer from security attacks and privacy issues, which dramatically impede their applications. In addition, the security measures applied in MANETs (like encryption and key distribution) have a number of negative effects on the network's performance. Cryptographic operations introduce a lot of both CPU and communication overhead. Therefore, routing protocols improvement is a challenge for researchers to overcome the negative effects of security measures. Clustering the MANET is a known technique to lower the routing over-head. It can also be utilized to distribute encryption keys and the authentication process. In this paper, a new protocol called Secure Clustering and Energy Saver Protocol “SCESP” is proposed. SCESP secures the Mobile Ad hoc Networks and increase its network lifetime. This system introduces a novel self-node clustering technique based on Ad-hoc On-demand Distance Vector “AODV” routing protocol. In addition, it eliminates the key distribution overhead using smart token or similar hardware which is used for authentication. The SCESP system succeeded to enhance the security level of MANETs and decrease the battery consumption of mobile nodes due to the transmitted and received route requests messages propagated to discover new routes in AODV routing protocol.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131753902","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":"Detecting selfish nodes and motivating cooperation in Mobile Ad-hoc Networks","authors":"D. AbdelMohsen, T. Abdelkader","doi":"10.1109/ICCES.2015.7393064","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393064","url":null,"abstract":"A Mobile Ad hoc Network (MANET) is a dynamic wireless network without fixed infrastructure. Nodes move freely and organize themselves arbitrarily, and they usually have limited resources. Therefore, data delivery through this network requires cooperation among network nodes. Selfishness is a challenging problem that significantly degrades performance in MANETs. In this paper, we propose a selfishness detect-and-motivate (SDM) approach that detects selfish nodes and motivates them to cooperate in data delivery. We built a MANET simulator and implemented the proposed approach, and compared its performance with a selfishness detect-and-isolate (SDI) approach and a selfishness unaware (SU) approach. Results shows that the proposed approach achieves better performance in terms of dropped packets under different scenarios.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389553","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":"Design of an algorithmic Wallace multiplier using high speed counters","authors":"Shahzad Asif, Yinan Kong","doi":"10.1109/ICCES.2015.7393033","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393033","url":null,"abstract":"Wallace tree multipliers provide a power-efficient strategy for high speed multiplication. The use of high speed 7:3 counters in the Wallace tree reduction can further improve the multiplier speed. This paper presents an algorithmic approach to construct the counter based Wallace tree multipliers. The proposed algorithm can be used to implement the efficient counter based Wallace multiplier of any size suitable for FPGA or ASIC synthesis tools. The designs are synthesized in Synopsys Design Compiler using 90 nm CMOS technology. The detailed comparison of traditional and counter based Wallace multipliers is performed which shows that the counter based Wallace multiplier is up to 22% faster as compared to the traditional Wallace multiplier.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129955337","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}
Mohamed A. H. El-Hawy, K. Wassif, H. Hefny, Hesham A. Hassan
{"title":"A proposed shadowed intuitionistic fuzzy numbers","authors":"Mohamed A. H. El-Hawy, K. Wassif, H. Hefny, Hesham A. Hassan","doi":"10.1109/ICCES.2015.7393037","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393037","url":null,"abstract":"The methods of constructing shadowed sets have been developed to conserve the amount of uncertainty for fuzzy sets. The shadowed sets designed by such methods usually maintain one type of uncertainty for fuzzy sets. Moreover, such techniques are considered inappropriate for higher types of fuzzy sets. This paper proposes a new approach for inducing shadowed sets from intuitionistic fuzzy numbers. The proposed approach devises improved shadowed sets by conserving different uncertainty measures of intuitionistic fuzzy numbers. The new shadowed sets are more accurate in terms of preserving more aspects of uncertainty embedded in the intuitionistic fuzzy numbers and providing favorable approach for inducing shadowed sets for higher types of fuzzy sets.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131198284","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}