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2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)最新文献

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IMAGE STITCHING BASED ON PARAMETRIC TRANSFORMATIONS 基于参数变换的图像拼接
A. Laraqui, Kamal Azmi, Mohammed Laraqui
Transformation functions play a major role in mosaic images of different geometry. In this article, parametric global transformations, such as the similarity model, affine model and perspective projection model (projective model) are explored, and their performance in the mosaic of images with geometric differences are compared with respect to the execution time and registration quality. The approaches under study are tested on different types of images to deduce a scientific interpretation of results.
变换函数在不同几何形状的拼接图像中起着重要的作用。本文对相似模型、仿射模型和透视投影模型(投影模型)等参数化全局变换进行了探讨,并从执行时间和配准质量两方面比较了它们在几何差异图像拼接中的表现。研究中的方法在不同类型的图像上进行了测试,以推导出对结果的科学解释。
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引用次数: 0
Elliptic curve and Lattice cryptosystem 椭圆曲线与点阵密码系统
M. Elhassani, A. Chillali, A. Mouhib
In this work, we will present a new hybrid cryptography method based on two hard problems: 1- The problem of the discrete logarithm on an elliptic curve defined on a finite local ring. 2- The closest vector problem in lattice and the conjugate problem on square matrices. At first, we will make the exchange of keys to the Diffie-Hellman. The encryption of a message is done with a bad basis of a lattice.
本文提出了一种新的混合密码方法,该方法基于两个难题:1-有限局部环上椭圆曲线上的离散对数问题。格中的最近向量问题和方阵上的共轭问题。首先,我们要交换迪菲-海尔曼的钥匙。消息的加密是用一个不好的格基来完成的。
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引用次数: 1
A novel approach to face recognition using freeman chain code and nearest neighbor classifier 基于freeman链码和最近邻分类器的人脸识别新方法
H. Zaaraoui, S. El Kaddouhi, M. Abarkan
This paper proposes a novel approach to face recognition using freeman chain code as a feature extractor for face representation, and the nearest neighbor classifier for face matching. The face description stage starts with resizing, and then dividing the face image into non-overlapping sub-regions, then a set of chains (words) are extracted from each region, and assigned later into the nearest word in a Dictionary of Visual Words (DoVW). As a result, each patch is represented by a histogram of visual words. Finally, the histograms are assembled into one to describe the face image. Unlike the most of the existing methods, which require a mask around the treated pixel, our methodology depends on directional changes from the starting pixel, which allow us to obtain information on the local and also the more global structures. The face matching is performed by using the nearest neighbor classifier with Hellinger, Cosine, or Chi-square as the distances measure between histograms. Experimental results show which metrics perform well and demonstrate the efficiency of the proposed approach in terms of recognition rate compared to the other face recognition methods.
本文提出了一种新的人脸识别方法,利用freeman链码作为人脸表征的特征提取器,利用最近邻分类器进行人脸匹配。人脸描述阶段从调整大小开始,然后将人脸图像划分为不重叠的子区域,然后从每个区域提取一组链(词),然后将其分配到视觉词字典(DoVW)中最近的词。因此,每个patch由视觉词的直方图表示。最后,将直方图组合成一个直方图来描述人脸图像。与大多数现有方法不同,这些方法需要在处理过的像素周围进行掩模,我们的方法依赖于从起始像素开始的方向变化,这使我们能够获得有关局部和更全局结构的信息。人脸匹配是通过使用Hellinger、余弦或卡方作为直方图之间距离度量的最近邻分类器来执行的。实验结果表明,与其他人脸识别方法相比,该方法在识别率方面表现良好。
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引用次数: 1
Sentiment Analysis of Arabic Algerian Dialect Using a Supervised Method 基于监督方法的阿拉伯阿尔及利亚语方言情感分析
Adel Abdelli, Fayçal Guerrouf, Okba Tibermacine, Belkacem Abdelli
Sentiment analysis holds an important place in Natural Language Processing (NLP) due to its utility in resolving different issues in many fields such as e-commerce, politic sciences, social media analysis, cybersecurity, etc. In fact, most of the work done in the field has been dedicated to the sentiment of English texts. However, adapting research findings to the Arabic language and its dialects is not trivial because of their linguistic features. In this work, we apply two supervised methods, namely, Deep Learning and Support Vector Machines (SVM), for sentiment analysis of Modern Arabic and the Algerian dialect. These methods have been applied on a huge annotated dataset collected from different Arabic Algerian sources. Findings are showing promising results in sentiment analysis of the Arabic Algerian dialect.
情感分析在自然语言处理(NLP)中占有重要的地位,因为它在解决电子商务、政治科学、社交媒体分析、网络安全等许多领域的不同问题方面具有实用价值。事实上,这一领域的大部分工作都致力于研究英语文本的情感。然而,由于阿拉伯语及其方言的语言特点,将研究成果应用于阿拉伯语及其方言并非易事。在这项工作中,我们应用了两种监督方法,即深度学习和支持向量机(SVM),用于现代阿拉伯语和阿尔及利亚方言的情感分析。这些方法已经应用于从不同的阿拉伯阿尔及利亚来源收集的巨大的带注释的数据集。在对阿拉伯阿尔及利亚方言的情感分析中,研究结果显示出令人鼓舞的结果。
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引用次数: 18
Efficient Lung CT Image Segmentation using Mathematical Morphology and the Region Growing algorithm 基于数学形态学和区域生长算法的肺CT图像分割
A. El Hassani, Brahim Ait Skourt, A. Majda
Computer Aided Diagnosis (CAD) systems are often used during Today's medical practicality. It helps the physician to perform an accurate detection and diagnosis of Lung Pathologies. Lung CT image segmentation is a prerequisite in lung CT analysis. In this paper we proposed an automated hybrid method for lung segmentation based on both mathematical morphology and the region growing algorithm. the seed points are selected automatically without any user interaction. Also, the structuring element used in mathematical morphology operation is dynamic and it changes its shape and parameters according to the input 2D lung CT slices.
计算机辅助诊断(CAD)系统在当今的医疗实践中经常使用。它可以帮助医生对肺部病变进行准确的检测和诊断。肺CT图像分割是肺CT分析的前提。本文提出了一种基于数学形态学和区域生长算法的自动混合肺分割方法。种子点是自动选择的,无需任何用户交互。此外,数学形态学运算中使用的结构元素是动态的,它会根据输入的二维肺CT切片改变其形状和参数。
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引用次数: 3
ITO: Intelligent Traceability Ontology ITO:智能追溯本体
Abdesselam Bougdira, I. Akharraz, A. Ahaitouf
A traceability tool is an asset to the supply chain, especially the food one. The supply chain involves various sources of data, which is essential for effective traceability. Hence, a traceability system should overcome the heterogeneous data integration issue. Therefore, this paper introduces an ontology that formalizes the traceability tasks and surroundings elements to exchange information. Thus, this article describes the main features of an Intelligent Traceability Ontology (ITO). This ontology represents the main relationships between traceability activities and the entities involved in these activities. Moreover, this modeling can be used not only for tracing and tracking product information but also for supervising the product's environment parameters.
可追溯性工具是供应链的资产,尤其是食品供应链。供应链涉及各种数据源,这对于有效的可追溯性至关重要。因此,跟踪系统应该克服异构数据集成问题。因此,本文引入了一种本体,将可追溯性任务和环境元素形式化,以进行信息交换。因此,本文描述了智能跟踪本体(Intelligent Traceability Ontology, ITO)的主要特性。这个本体表示了可追溯性活动和这些活动中涉及的实体之间的主要关系。此外,该模型不仅可以用于跟踪和跟踪产品信息,还可以用于监督产品的环境参数。
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引用次数: 0
Models of serious games design between generic and detailed approach 严肃游戏设计模型的一般与详细方法
Kossir Taoufik, Ouriagli Mohammed
This article deals with the problem of serious game design. The subject is analyzed according to two types of models: generic and detailed. A state of the art of six important models (MAGIC BULLET, DICE, LEGADEE, Moppliq, ATMSG, DISC) is presented firstly. A comparative study of the models is then carried out in two steps: a first step concerns generic models and a second step concerns models offering a more detailed design process, which was carried out according to factors affecting the quality of the design process.
本文讨论的是严肃游戏设计问题。本课题根据两种模型进行分析:一般模型和详细模型。首先介绍了MAGIC BULLET、DICE、LEGADEE、Moppliq、ATMSG、DISC这六种重要模型的研究现状。然后分两步对模型进行比较研究:第一步关注通用模型,第二步关注提供更详细设计过程的模型,这是根据影响设计过程质量的因素进行的。
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引用次数: 0
Performance evaluation of machine learning based big data processing framework for prediction of heart disease 基于机器学习的大数据处理框架在心脏病预测中的性能评价
Abderrahmane Ed-daoudy, K. Maalmi
Heart disease is one of the most prominent and dangerous diseases that threaten public health around the world, often leading to heart attacks and strokes. More recently, the amount of heart disease patients under supervision has been increasing significantly owing to lack of awareness and lifestyle related factors affecting health. There is therefore a need to ensure an effective and scalable solution to effectively find and prevent the heart disease within a short and very specific timeline. At this stage, the performance of four well-known classification algorithms; SVM, Decision Tree, Random Forest and Logistic Regression was evaluated for prediction of heart disease using Apache Spark, a fast and general engine for big data processing with its machine learning library, MLlib for batch data processing. The overall performance comparison was assessed in terms of prediction accuracy, building time and prediction time. Experimental results on processed cleveland data from heart disease dataset show that the highest classification accuracy of 87.50 % was reported using Random Forest with sensitivity and specificity of 86.67 and 88.37 %, respectively. On the other hand, the fast algorithm will be logistic regression.
心脏病是威胁全世界公众健康的最突出和最危险的疾病之一,经常导致心脏病发作和中风。最近,由于缺乏意识和与生活方式有关的影响健康的因素,接受监护的心脏病患者数量显著增加。因此,有必要确保有效和可扩展的解决方案,以便在短而非常具体的时间内有效地发现和预防心脏病。现阶段,四种知名分类算法的性能;使用Apache Spark(一种快速通用的大数据处理引擎,其机器学习库MLlib用于批量数据处理)评估SVM、决策树、随机森林和逻辑回归对心脏病的预测效果。从预测精度、构建时间和预测时间三个方面对整体性能比较进行评估。实验结果表明,随机森林的分类准确率最高,达到87.50%,灵敏度和特异性分别为86.67%和88.37%。另一方面,快速算法将是逻辑回归。
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引用次数: 3
Optimisation of poling conditions of the crosslinked polymers for nonlinear optical applications 非线性光学应用中交联聚合物极化条件的优化
H. Essaoudi, A. Essahlaoui
The corona discharge poling of a crosslinked epoxy polymers film was experimentally investigated. Besides the thermal analysis and the optimisation of poling parameters (temperature and voltage poling) of these systems, the reticulation of the polymer film, which is necessary for the orientation stabilisation after poling, was also studied using UV-visible analysis.
对交联环氧聚合物薄膜的电晕放电极化进行了实验研究。除了热分析和优化这些体系的极化参数(温度和电压极化)外,还使用紫外可见分析研究了聚合物薄膜的网状结构,这是极化后取向稳定所必需的。
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引用次数: 0
Numerical Modelling Of The Interaction Shock / Turbulent Boundary Layer For A Compressible Supersonic Flow 可压缩超音速流动激波/湍流边界层相互作用的数值模拟
Bahia Dris, Barkani Jamal
This paper is devoted to the numerical study of two-dimensional systems of conservation laws describing unsteady flows, supersonic, compressible and turbulent. The structured grids finite volume method is adopted here as well as the algebraic model of Baldwin and Lomax is used for the modelling of eddy viscosity. This model of turbulence was examined on two applications: the isothermal flat plate and the compression corner of 10°.
本文对描述非定常流、超声速流、可压缩流和湍流流的二维守恒律系统进行了数值研究。本文采用结构网格有限体积法,采用Baldwin和Lomax的代数模型对涡流粘度进行建模。在等温平板和10°压缩角两种情况下对该湍流模型进行了检验。
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2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)
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