2019 14th International Conference on Computer Engineering and Systems (ICCES)最新文献_第7页

Improving Golay Code Using Hashing Technique 使用哈希技术改进Golay代码

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068153

Sara Salama, Rashed K. Salem, H. Abdel-Kader

引用次数: 0

Swarm Intelligence Optimization for Feature Selection of Biomolecules 生物分子特征选择的群体智能优化

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068178

Walaa Alkady, Walaa K. Gad, K. Bahnasy

引用次数: 2

Implementing Arabic Handwritten Recognition Approach using Cloud Computing and Google APIs on a mobile application 在移动应用程序上使用云计算和Google api实现阿拉伯手写识别方法

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068124

Nada Shorim, Taraggy M. Ghanim, Ashraf AbdelRaouf

{"title":"Implementing Arabic Handwritten Recognition Approach using Cloud Computing and Google APIs on a mobile application","authors":"Nada Shorim, Taraggy M. Ghanim, Ashraf AbdelRaouf","doi":"10.1109/ICCES48960.2019.9068124","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068124","url":null,"abstract":"Cloud computing application for automatic recognition of Arabic handwritten is needed nowadays and of great importance especially when implemented on a mobile application. It is a type of applications that includes many challenging aspects. This paper introduces for the first time a cloud based mobile app that applies Arabic handwritten recognition for translation purposes and finding locations on Google maps. Proposing such a service for non-Arabic speakers is of great importance especially while visiting Arabic speaking countries. Our approach is the first to build a mobile app based on cloud computing that proposes a multi-phase hybrid classifier for Arabic Handwritten text recognition. Google Maps and Google Translate APIs are applied on the recognized text as part of the introduced cloud computing application. The recognition part of the proposed approach is a multi-stage classifier introduced to cope with big database and high computation complexities. The experiment applied on our approach shows better results of our Arabic handwritten recognition when compared with similar approaches.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129655736","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

Implementation of A Homomorphic MAC Scheme in a Transparent Hardware Appliance for Network Coding 网络编码透明硬件设备中同态MAC方案的实现

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068122

A. Kamal, H. Dahshan, A. Elbayoumy

{"title":"Implementation of A Homomorphic MAC Scheme in a Transparent Hardware Appliance for Network Coding","authors":"A. Kamal, H. Dahshan, A. Elbayoumy","doi":"10.1109/ICCES48960.2019.9068122","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068122","url":null,"abstract":"Network coding (NC) can effectively improve data delivery in a noisy network. It allows the nodes to combine multiple packets and deliver them out. The destination can then recover it. However, pollution attacks are the most common threat to NC. As malicious nodes can inject false Ethernet packets into the network to ban the receiver from decoding the packets properly, certain authentication information must be embedded in the packets to enable the receiver to authenticate received packets. In this paper, a new scheme to apply secure Message Authentication Code (MAC) with network coding is proposed. By applying this scheme, malicious packets could be rejected in intermediate nodes without waiting until verified and dropped by the receiving node. This technique is applied with the aid of a separate hardware device with an Altera Cyclone IV FPGA chip to generate the MAC and append it to the original ethernet packets. The proposed scheme can be integrated in the existing running environments without any changes in the network configuration. The performance of the proposed scheme is evaluated to measure its throughput.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128931964","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

Impact of segmentation on iris liveness detection 分割对虹膜活性检测的影响

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068147

Manar Ramzy Dronky, W. Khalifa, M. Roushdy

引用次数: 1

Hardware-Assisted Virtualization for Heterogeneous Automotive Applications 异构汽车应用的硬件辅助虚拟化

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068143

Mohamed Mounir, Mohamed Abdelsalam, M. Safar, A. Salem

{"title":"Hardware-Assisted Virtualization for Heterogeneous Automotive Applications","authors":"Mohamed Mounir, Mohamed Abdelsalam, M. Safar, A. Salem","doi":"10.1109/ICCES48960.2019.9068143","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068143","url":null,"abstract":"Today's car manufacturers are racing in deploying new innovative functionalities in modern cars like human-machine interface (HMI) technologies, cloud-based services, vehicle ad-hoc networks (V ANET) and autonomous driving. Such new technologies increase the complexity of vehicle's E/E architecture and adds new requirements on automotive software systems. This can specially be seen in cockpit domain units like Advanced Driver Assistance Systems (ADAS), Infotainment Head Units (IHU) and Telematics (TEM). The software applications of such units now exhibit large variations in requirements in terms of safety, security and connectivity as they are involved in both in-Vehicle network communication and cellular vehicle communication (V2X). In addition to that, Original Equipment Manufacturers (OEMs) are heading towards consolidating multiple units into single high computing platform. Although this simplifies the networking model of the vehicle, it adds more challenges on the architecture of automotive software systems. This paper focuses on utilizing hardware-assisted virtualization techniques to allow consolidating these heterogeneous applications on the same hardware. The performance of the proposed approach is evaluated to proof meeting the requirements of such applications.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128600998","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

Statistical and Time Series Analysis of Accelerometer Signals for Human Activity Recognition 用于人体活动识别的加速度计信号的统计和时间序列分析

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068140

W. Gomaa

{"title":"Statistical and Time Series Analysis of Accelerometer Signals for Human Activity Recognition","authors":"W. Gomaa","doi":"10.1109/ICCES48960.2019.9068140","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068140","url":null,"abstract":"Sensor-based human activity recognition HAR has become increasingly more important in our daily lives for a number of reasons. Advances in the sensing capabilities of personal devices have seen unprecedented growth over the past decade. HAR systems have many applications especially in health monitoring, intelligent environments, and smart spaces. Wearable sensors are particularly suited in these areas. This is due to the fact that they have small size, their cost has been steadily decreasing, and they are currently embedded in almost all commodity mobile devices such as smart phones, smart watches, sensory gloves, hand straps, and shoes. In this paper we focus on analyzing sensory accelerometer data collected from wearable devices. And in particular, we study activities of daily living (ADL) which are the activities ordinary people have the ability for doing on a daily basis like eating, moving, individual hygiene, and dressing. To the best of our knowledge most HAR systems are based on supervised machine learning techniques and algorithms, In this paper we widens the scope of techniques that can be used for the automatic analysis of human activities and provide a valuation of the relative effectiveness and efficiency of a potentially myriad pool of techniques. Specifically, we apply two approaches. The first approach is time-aware treating the incoming data in its natural form as a sequential temporal sequence of measurements. The techniques we used are based on time series analysis. The other approach is time-neglectful. It is based on using statistical methods based on goodness-of-fit tests. Our comparative assessment shows that the latter approach has some potential in classification accuracy, though needs further investigation. The time-aware approach gives much better results, though the computational resources required can be prohibitive, so also needs further investigation from that perspective.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125199105","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: 3

A Computer Aided Detection System for Breast Cancer in the MammogramsBased on Particle Swarm Optimization Algorithm 基于粒子群优化算法的乳腺x线影像中乳腺癌计算机辅助检测系统

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068111

Nesma El-Sokkary, A. Arafa, Ahmed H. Asad, H. Hefny

{"title":"A Computer Aided Detection System for Breast Cancer in the MammogramsBased on Particle Swarm Optimization Algorithm","authors":"Nesma El-Sokkary, A. Arafa, Ahmed H. Asad, H. Hefny","doi":"10.1109/ICCES48960.2019.9068111","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068111","url":null,"abstract":"the majority cancer mortality among women is due to breast cancer over the world wide. Recent researches have shown the effectiveness of x-ray mammography in early detection of breast cancer. Unfortunately, the present systems for early detection are expensive and needs extremely complex algorithms. The crucial challenge in designing a computer-aided detection (CAD) systems for breast cancer are the segmentation phase, which requires highly complex computation. Hence, this paper proposes a CAD system to be utilized for breast cancer detection in mammographic datasets. The segmentation step is performed by a Particle Swarm Optimization Algorithm (PSO). Statistical, textural and shape feature are calculated over the segmented region. A non linear support vector machine (SVM) is exploited in the next phase in order to analyze the extracted features and classify the mammograms into normal, benign or malignant. For the sack of evaluating the performance, the experiment is performed on Mini-MIAS database. The obtained accuracy rates based on 10-folds cross validation are 85.4% for classifying normal from abnormal, 89.5% for classifying malignant from benign. The experiment shows that the classification accuracy is 81% when classifying normal, malignant or benign. The result compromises with recent researches concurs that the proposed algorithm compromises between the achieved accuracy to complexity cost.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115379256","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

Alzheimer's Disease Integrated Ontology (ADIO) 阿尔茨海默病集成本体(ADIO)

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068176

Nora Shoaip, S. Barakat, Mohammed M Elmogy

{"title":"Alzheimer's Disease Integrated Ontology (ADIO)","authors":"Nora Shoaip, S. Barakat, Mohammed M Elmogy","doi":"10.1109/ICCES48960.2019.9068176","DOIUrl":"https://doi.org/10.1109/ICCES48960.2019.9068176","url":null,"abstract":"In the near future, the elderly will occupy nearly a quarter of the world's population. Such a percentage poses a significant challenge to face diseases related to this age, including Alzheimer's disease (AD), which is responsible for the destruction of brain cells and memory. This paper is our first step toward comprehensive research in the Alzheimer management system. It related to AD knowledge structures and semantic reasoning by using ontology. There is a necessary need to coordinate strategies that reuse existing ontology to support and enhance knowledge resources around the world. So we aim to reuse existing ontology and ensure comprehensive integration between them to improve the accuracy of reasoning. We propose Alzheimer's Disease Integrated Ontology (ADIO) that is intended to integrate two important biomedical ontologies for AD researches (i) Alzheimer's disease ontology (ADO) and (ii) AD Map Ontology (ADMO). ADO was described in OWL format and related to clinical, preclinical, experimental, and molecular mechanisms. ADMO represents the complexity of AD pathophysiology and more specific for the description of biological systems. So ADO and ADMO are relevant complements with each other, and their integration can increase the satisfaction of AD knowledge resources. As a result, HermiT 1.4.3.456 reasoner in Protégé provides checking of AD I 0 consistency, and the results of DLQuery show that ADIO is reliable and effective.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404265","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

Improvement the Performing of Spectrum Distinguishing in Cognitive Radio using MIMO-Alamouti Scheme 利用MIMO-Alamouti方案改进认知无线电频谱识别性能

2019 14th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2019-12-01 DOI: 10.1109/ICCES48960.2019.9068107

Mohamed Ismail Ibrahim, Dina M. Ellaithy

引用次数: 0