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An Arabic semantic search engine for large governmental organization 大型政府组织的阿拉伯语语义搜索引擎
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275370
Walaa Medhat, K. Fouad, A. Yousef, I. Moawad
{"title":"An Arabic semantic search engine for large governmental organization","authors":"Walaa Medhat, K. Fouad, A. Yousef, I. Moawad","doi":"10.1109/ICCES.2017.8275370","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275370","url":null,"abstract":"Large organizations contain huge structured and unstructured data. This data need to be analyzed and retrieved as a part of their daily business. Data extractor that depends on entity recognition to extract data from documents and converts it into structured database can solve the problem of searching in unstructured data. In addition, semantic search engines that use query expansion to extract results that are more informative can solve the problem of polysemy and synonymy. This paper proposes a complete solution to solve these problems. An Arabic semantic search engine is proposed which consists of four components (data extractor, taxonomy builder, database indexer, and search engine). The system is applied on a real case study of a large governmental organization's database. The results show superior performance compared to other solutions. It gives good measures for the F-score and gives a mean average precision of 0.8.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122702184","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
Search space pruning by evolving probabilistic strategies 基于进化概率策略的搜索空间剪枝
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275357
M. Fayek, A. Ezzat
{"title":"Search space pruning by evolving probabilistic strategies","authors":"M. Fayek, A. Ezzat","doi":"10.1109/ICCES.2017.8275357","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275357","url":null,"abstract":"A famous application of Genetic Algorithms (GA) is evolving strategies, pioneered by Axelrod's Prisoner's dilemma experiment. This paper aims to explore two new techniques for evolving playing strategies relative to that of Axelrod. The three techniques have been tested by a very challenging game: Rock-paper-scissors-lizard-spock. The proposed techniques evolve a probabilistic choice. In the first proposed technique the history is completely disregarded. The chromosome size is shortened by 99% relative to Axelrod's. The second proposed technique is a compromise between Axelrod's and the later probabilistic technique. Still the chromosome size is shortened by more than 95%. Results show that the hybrid strategy was the only one that could win all other strategies, the probabilistic technique comes next. Finally, processing requirements considering memory consumption and cpu utilization time are investigated.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123281962","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
Intelligent organization of multiuser photo galleries using sub-event detection 基于子事件检测的多用户相册智能组织
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275347
Ahmed M. Abdelhalim, Mohammed Abdel-Megeed Salem
{"title":"Intelligent organization of multiuser photo galleries using sub-event detection","authors":"Ahmed M. Abdelhalim, Mohammed Abdel-Megeed Salem","doi":"10.1109/ICCES.2017.8275347","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275347","url":null,"abstract":"When a group of people share photos and albums that were taken using different devices, it is ideal that these photos and albums be automatically organized to represent the different events that they belong to. The main objective is to develop a tool that uses image classification techniques to create and manage photo albums based on event recognition. It exploits Deep Convolutional Neural Networks to extract features from photos taken by multiple users. These features are then reduced and used to assess the similarities between the different photos. The similarities are used to group relevant photos using unsuper-vised clustering techniques. This provides a richer and a multi-perspective view of the events where those photos were taken. The system is tested and evaluated on a publicly available dataset. Its functionality is demonstrated in a simple web application where multiple users can use to upload photo collections and have them integrated with other users' photos to generate intelligent albums. The proposed methods proved effective as they achieved an accuracy of up to 98%.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130213085","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
FPGA implementation of pulsed noise interference against LFM radar 脉冲噪声干扰LFM雷达的FPGA实现
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275395
Tamer M. Samy, M. Abdel-Latif, S. Elgamel, F. Ahmed
{"title":"FPGA implementation of pulsed noise interference against LFM radar","authors":"Tamer M. Samy, M. Abdel-Latif, S. Elgamel, F. Ahmed","doi":"10.1109/ICCES.2017.8275395","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275395","url":null,"abstract":"Linear Frequency Modulation Pulse Compression LFM-PC radars have high processing gain make it difficult to be jammed. Classical noise jammer needs a massive power to affect the LFM radar detection capability which is not practical in modern jammers. This paper introduces a FPGA implementation of prototype noise jammer using pulsed noise jamming techniques to jam LFM with adequate power. Furthermore a complete LFM PC radar model is introduced for jammer evolution purpose. Firstly, the designed jamming technique is simulated in SystemVue environment and secondly Xilinx ISE 14.7 Design tool. Xilinx FPGA board and 4DSP DAC card are used for hardware implantation. The selected FPGA board is Kintex-7 (xc7k325t-2ffg900) and the chosen DAC board is FMC-150. The implementation results for the model in jamming free environment and under the effect of pulsed noise interference agreed with the simulation and earlier model results.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131208923","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
Design and implementation of new delay-efficient/configurable multiplier using FPGA 基于FPGA的新型延迟高效/可配置乘法器的设计与实现
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275268
Soad Gamal Mohamed El Atre, Mahmoud Alshewimy
{"title":"Design and implementation of new delay-efficient/configurable multiplier using FPGA","authors":"Soad Gamal Mohamed El Atre, Mahmoud Alshewimy","doi":"10.1109/ICCES.2017.8275268","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275268","url":null,"abstract":"New delay-efficient configurable multiplier based on Modified Booth's Algorithm (MBA) and Wallace Tree (WT) structure for multiplying two m-bit operands — where m ranges from 8-bit to 128-bit — is introduced. WT structure has been used to reduce the number of sequential adding stages and speed improvements have been achieved. Modifying Booth's multiplier architecture at a fundamental level is an advantageous concept that sets FPGA based multiplier models apart from rigid-architecture conventional multipliers. In the context of this work, various multipliers, based on MBA and WT, have been developed with the smallest possible time delay. Comparisons have been made between the proposed multiplier implementations and those found in the literature. The comparative results show that the proposed multiplier introduces delay improvement reaches % 42.64.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133365299","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
Adaptive image denoising approach for low-dose computed tomography 低剂量计算机断层扫描的自适应图像去噪方法
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275279
Haneen A. Elyamani, S. El-Seoud, H. Kudo, E. Rashed
{"title":"Adaptive image denoising approach for low-dose computed tomography","authors":"Haneen A. Elyamani, S. El-Seoud, H. Kudo, E. Rashed","doi":"10.1109/ICCES.2017.8275279","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275279","url":null,"abstract":"Low-dose computed tomography (LDCT) is usually performed by reducing the power of the x-ray tube in clinical CT scanners. However, images acquired through LDCT are known to be of low-quality due to the presence of statistical noise and other related artifacts. Effective denoising techniques are required to improve the quality of LDCT images towards green and safe CT imaging. In this paper, a new method is presented to improve the so-called, non-local means (NLM) filtering for effective LDCT imaging. The proposed method incorporates a prior knowledge obtained from probabilistic atlas during the filtering process. Additional anatomical information obtained through the atlas is likely to be useful in improving the image quality using NLM filtering. The proposed method is evaluated using real data and a notable improvement in image quality improvement is achieved.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133528945","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
Adaptive PID sliding surface-based second order sliding mode controller for perturbed nonlinear systems 针对扰动非线性系统的基于滑动面的自适应 PID 二阶滑模控制器
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275313
Nada M. Moawad, W. Elawady, A. Sarhan
{"title":"Adaptive PID sliding surface-based second order sliding mode controller for perturbed nonlinear systems","authors":"Nada M. Moawad, W. Elawady, A. Sarhan","doi":"10.1109/ICCES.2017.8275313","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275313","url":null,"abstract":"This paper presents an adaptive PID sliding surface-based second order sliding mode control algorithm for uncertain nonlinear systems using an adaptive PID controller and second order sliding mode control (SOSMC). In the adopted control algorithm, the SOSMC, which is published recently in the literature for linear systems, is extended to nonlinear systems and combined with an adaptive PID sliding surface. The PID sliding surface parameters are adapted online using an adaptation algorithm. The proposed control algorithm (APID-SOSMC) is derived based on Lyapunov stability criterion such that the stability of the overall system is guaranteed. Numerical simulations with dynamical model of the nonlinear inverted pendulum system are presented to demonstrate the effectiveness of the designed controller and proof the system robustness against parameters uncertainty and external load disturbances.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130517679","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
Enhancing Wi-Fi fingerprinting for indoor positioning system using single multiplicative neuron and PCA algorithm 利用单乘法神经元和PCA算法增强室内定位系统的Wi-Fi指纹识别
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275322
Y. Basiouny, M. Arafa, A. Sarhan
{"title":"Enhancing Wi-Fi fingerprinting for indoor positioning system using single multiplicative neuron and PCA algorithm","authors":"Y. Basiouny, M. Arafa, A. Sarhan","doi":"10.1109/ICCES.2017.8275322","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275322","url":null,"abstract":"Location based service for indoor positioning has been studied widely as it has several applications in various fields. Wi-Fi fingerprinting techniques are often used in positioning systems resulting in proposing many algorithms for these systems. K-Nearest Neighbor (KNN), support vector machines (SVM), neural networks (NN), Naive Bayes Classifier (NBC) and other hybrid algorithms are the most commonly used techniques for Wi-Fi fingerprinting. In the present paper, we propose a Wi-Fi fingerprinting indoor positioning system which utilizes the single multiplicative neuron (SMN) as a fingerprinting technique to improve the positioning accuracy and speed. Neural networks based on single multiplicative neuron are simple in their structure and fast in the learning process, which make them suitable for real-time applications. We use the principal component analysis algorithm (PCA) in both the offline and the online phases to reduce the dimension of the received signal strength values and to remove the noisy measurements. Comparisons have been held with three well-known fingerprinting techniques: KNN, SVM and NN. The results, in terms of accuracy and responsiveness, demonstrate the superiority of the proposed positioning system based on SMN and PCA algorithm.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127674677","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: 13
The application of data mining for the trouble ticket prediction in telecom operators 数据挖掘在电信运营商故障单预测中的应用
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275308
Ahmed F. Fahmy, A. Yousef, H. K. Mohamed
{"title":"The application of data mining for the trouble ticket prediction in telecom operators","authors":"Ahmed F. Fahmy, A. Yousef, H. K. Mohamed","doi":"10.1109/ICCES.2017.8275308","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275308","url":null,"abstract":"Telecommunication Providers face many challenges in retaining customers especially under the fierce competition between each other. One of these challenges is to improve the efficiency of operations and to achieve better customer experience through minimizing the business impact of service interruption and proactively handle it. In this paper, trouble ticket repeat prediction framework is proposed to integrate the enormous data of operations that consist of the voice of the customer (VOC) and the voice of machine (VOM). The VOC is represented by customer trouble tickets collected by the customer relationship management system (CRM) and VOM is represented by the modems' event log that is loaded daily into our platform. Finally, the results from deploying the proposed framework in one of the biggest Telecom Operator in the middle east are presented. In summary, the proposed framework is explained in details starting from tickets classification ending with the actions that control and sustain the improvements through the set up for continuous mining of the data and the plan for monitoring and maintenance of the model.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126292486","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: 4
Hardware-accelerating the BLASTN bioinformatics algorithm using high level synthesis 基于高级合成的BLASTN生物信息学算法硬件加速
2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275339
Reem Khairy, M. Safar, M. El-Kharashi
{"title":"Hardware-accelerating the BLASTN bioinformatics algorithm using high level synthesis","authors":"Reem Khairy, M. Safar, M. El-Kharashi","doi":"10.1109/ICCES.2017.8275339","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275339","url":null,"abstract":"BLASTN is one of the most known algorithms used for biological sequence analysis in bioinformatics. This algorithm is highly optimized for similarity searches. However, the significance increase in the size of genomic databases causes performance degradation in the search algorithm. Thus, there is an increasing need to accelerate this algorithm. This paper introduces a new hardware approach to accelerate BLASTN using high level synthesis. Our approach takes advantage of the high level synthesis capabilities in designing complex systems by simply writing the algorithm functionalities in high level language. Experimental results show a speedup up to 100x over software. Moreover, we proved the feasibility of our proposed HLS implementation through a comparison with similar algorithms. Our HLS BLASTN achieves an average speedup of 70x over the NCBI BLASTN implementation and a speedup of 11x over the Mercury BLASTN implementation. We conclude that high level synthesis is an appealing approach to accelerate the BLASTN algorithm to satisfy the high performance need of biological searches.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126306239","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
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