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2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)最新文献

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A Distributed XACML based Access Control Architecture for IoT Systems 基于分布式XACML的物联网系统访问控制体系结构
L. Charaf, Imam Alihamidi, A. Addaim, A. Madi
IoT (Internet of Things) is the new technological revolution that enables the high connectivity of intelligent objects or devices both to each other or/and to humans. However, the major difficulty found in the use of this IoT technology is the lack of networking reference architectures and standards for this new paradigm. Moreover, security and privacy protection are foremost important issue to gain trust of IoT users. In this paper, we firstly present a comparative study of IoT security architectures previously proposed in the literature, then we investigate different works done in the field, based on the CIA triad (Confidentiality, Integrity and Availability) and the associated algorithms. The last part of this paper is devoted to study the proposed distributed model in order to face the IoT access control problems using the XACML language.
物联网(IoT)是一场新的技术革命,它使智能对象或设备彼此之间或/或与人类之间的高度连接成为可能。然而,在使用这种物联网技术时发现的主要困难是缺乏这种新范式的网络参考架构和标准。此外,安全和隐私保护是获得物联网用户信任的最重要问题。在本文中,我们首先对先前在文献中提出的物联网安全架构进行了比较研究,然后我们基于CIA三合一(保密性,完整性和可用性)和相关算法调查了该领域所做的不同工作。本文的最后一部分研究了基于XACML语言的物联网访问控制分布式模型。
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引用次数: 6
Optical based approach for brain tumor segmentation 基于光学的脑肿瘤分割方法
Essadike Abdelaziz, Ouabida Elhoussaine, Boublouh Souhaila, Halaq Hanan, Bouzid Abdenbi
Tumor segmentation from magnetic resonance images (MRI) is an error-prone and time-absorbing process. In this paper, we propose a novel architecture adapting the Optical Scanning Holography (OSH) to the detection of tumors regions in MRI. The proposed method combines an off-axis optical scan, performed by a heterodyne fringe pattern, and a MR image display ensured by a spatial light modulator. The output quadrature component of the scanned current is collected digitally. Hence, a high-precision distribution of biological tissues is extracted. Its maximum position is exactly the one of the tumor. Meanwhile, this position is used in an Active Contour Model (ACM) to perform a fast segmentation of the extent corresponding to the tumors. Several images of brain tumors from BRATS database, with tumors having different contrast and form, are used to test the proposed system. Parameters reverted by the optical process are used to investigate the detection performance. Further, in terms of tumor segmentation, the proposed OSH-ACM process has high performance metrics compared to some of recently published method. The underlying physics of the precision superiority, presented by the OSH-ACM, is the high-precision extraction of the abnormal tissue regions by the quadrature component of the scanned current.
从磁共振图像中分割肿瘤是一个容易出错且耗时的过程。本文提出了一种将光学扫描全息(OSH)应用于MRI肿瘤区域检测的新架构。所提出的方法结合了由外差条纹图案执行的离轴光学扫描和由空间光调制器保证的MR图像显示。扫描电流的输出正交分量以数字方式采集。因此,提取生物组织的高精度分布。它的最大位置正好是肿瘤的位置。同时,在活动轮廓模型(ACM)中使用该位置对肿瘤对应的范围进行快速分割。利用BRATS数据库中具有不同对比度和形态的脑肿瘤图像对该系统进行了测试。通过光学过程恢复的参数来研究检测性能。此外,在肿瘤分割方面,与最近发表的一些方法相比,所提出的OSH-ACM过程具有更高的性能指标。OSH-ACM提出的精度优势的潜在物理原理是通过扫描电流的正交分量高精度地提取异常组织区域。
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引用次数: 0
wind farms power estimation based on the different wake models and their optimization 基于不同尾流模型的风电场功率估计及其优化
Bellat Abdelouahad, Ech-chhibat My El houssine, L. Zahiri, Raihani Abdelhadi, K. Mansouri
Wind energy is currently one of the most profitable renewable energy sources in electricity generation. However, much remains to be done to improve wind energy production. In this work, we will focus on the influence of wake models on the efficiency of wind farm design and their comparisons. this study showed the inability of wake models to predict exactly the energy produced in wind farms due to assumptions to facilitate the calculations and uncertainties of the different variables. In the rest of this work we tried to discuss the possibility standardize and adjust the loss of wake for optimal production and lifetime of a wind farm.
风能是目前发电中最有利可图的可再生能源之一。然而,在改善风能生产方面仍有许多工作要做。在这项工作中,我们将重点关注尾流模型对风电场设计效率的影响及其比较。这项研究表明,由于便于计算的假设和不同变量的不确定性,尾流模型无法准确预测风电场产生的能量。在接下来的工作中,我们试图讨论标准化和调整尾流损失的可能性,以实现风电场的最佳生产和寿命。
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引用次数: 1
Conception of a Training System for Emergency Situation Managers 应急管理人员培训体系的构想
Youssef Mnaoui, Aouatif Najoua, H. Ouajji
This paper presents a new training approach based on artificial intelligence for air traffic management. A first objective is to provide a conceptual and theoretical connotation on how to treat the Concept of accident causation by establishing a critical approach to the concept. Also, we propose a Design of a Training /Evaluating system based on voice recognition based on temporal and qualitative modelling which can be used in two ways:A training system for air emergency managers where the acquired skills and professional attitudes will be developed and consolidated under the supervision of an instructor.An evolving training system for the benefit of natural or anthropogenic crisis managers allowing the injection of new scenarios.Our contribution proposes improvements that could be implemented in the training of Emergency Situation Managers in order to be more efficient and use less time to manage emergency situation.
提出了一种新的基于人工智能的空中交通管理训练方法。第一个目标是通过建立对事故因果概念的批判方法,提供如何处理事故因果概念的概念和理论内涵。此外,我们建议设计一个基于语音识别的培训/评估系统,该系统基于时间和定性建模,可用于两种方式:空中应急管理人员的培训系统,其中获得的技能和专业态度将在指导员的监督下发展和巩固。一个有利于自然或人为危机管理人员的不断发展的培训系统,允许注入新的场景。我们的贡献提出了可以在培训紧急情况管理人员方面实施的改进措施,以便提高管理紧急情况的效率,减少管理紧急情况的时间。
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引用次数: 3
Optimization approach under uncertainty in preliminary design for mechanical engineering 机械工程初步设计不确定条件下的优化方法
Abderazzak Ziat, M. Sallaou, H. Zaghar, Abdelmajid AITTALEB
This work is a contribution to the integration of the concepts of reliability and robustness in the design phase of a product optimization, However, the lack of information and the high degree of uncertainty during the early design phases hinder the use of these tools. To overcome this problem, we have proposed a structured approach based on the evaluation under uncertainty of two main phases of the design process (conceptual design and embodiment design).
这项工作对产品优化设计阶段的可靠性和鲁棒性概念的集成做出了贡献,然而,在早期设计阶段缺乏信息和高度不确定性阻碍了这些工具的使用。为了克服这一问题,我们提出了一种基于设计过程中两个主要阶段(概念设计和实施例设计)的不确定性评估的结构化方法。
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引用次数: 0
Comparative Study of Power Losses in Single and Parallel High-Power Photovoltaic Inverter Systems
E. Akoro, G. J. Tevi, M. E. Faye, F. Hamoud, A. S. Maiga, M. Doumbia
In this paper, a comparative study of power losses in single and parallel photovoltaic inverter systems is presented. The voltage source inverters (VSI) use power semiconductor as a switch. The insulated-gate bipolar transistor (IGBT) is the most used. These semiconductor devices generate significant power losses thus reducing the efficiency in high-power grid-connected photovoltaic (PV) systems. In this case, paralleling several PV inverters to share the load could improve the efficiency of the system. Using the polynomial approximation method, the losses in the IGBT module have been calculated. A theoretical comparative study in terms of power losses is first carried out and then, it would be validated by simulation using Matlab / Simulink software. The results show that, the parallel inverter structure in high power PV systems improves the efficiency of the system by reducing the power losses generated by the IGBT modules.
本文对单个和并联光伏逆变器系统的功率损耗进行了比较研究。电压源逆变器(VSI)使用功率半导体作为开关。其中使用最多的是绝缘栅双极晶体管(IGBT)。这些半导体器件产生显著的功率损耗,从而降低了大功率并网光伏(PV)系统的效率。在这种情况下,并联几个光伏逆变器来分担负载可以提高系统的效率。利用多项式近似法计算了IGBT模块的损耗。首先从功率损耗方面进行理论对比研究,然后利用Matlab / Simulink软件进行仿真验证。结果表明,大功率光伏系统中的并联逆变器结构通过降低IGBT模块产生的功率损耗,提高了系统的效率。
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引用次数: 0
Neural Embedding & Hybrid ML Models for Text Classification 用于文本分类的神经嵌入和混合ML模型
Mariem Bounabi, K. E. Moutaouakil, K. Satori
Representation of knowledge remains a problem for models of machine learning (ML). The Paragraph vector is one of the current methods for embedding the text, where many parameters govern the utility of representation. In this context, we are addressing the effect, on the text classification area, of Paragraph Vector-Distributed Memory (PV-DM) as variant of doc2vec. In comparison, we apply other classification systems focused on doc2vec forms, and a collection of classifiers with current practices in this article. Then, we incorporate hybrid ML methods to improve the quality of classification. The experiments, on benchmarking dataset, prove that the results obtained are excellent, with 99% accuracy in the system based on the PV-DM with average method, and majority voting as a classifier.
知识的表示仍然是机器学习(ML)模型的一个问题。段落向量是当前嵌入文本的方法之一,其中许多参数控制了表示的效用。在这种情况下,我们正在解决段落向量分布式记忆(PV-DM)作为doc2vec变体在文本分类领域的影响。相比之下,我们在本文中应用了其他侧重于doc2vec表单的分类系统,以及一组具有当前实践的分类器。然后,我们结合混合机器学习方法来提高分类质量。在基准数据集上进行的实验证明,基于平均方法的PV-DM,以多数投票作为分类器,系统的准确率达到99%。
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引用次数: 2
[Copyright notice] (版权)
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引用次数: 0
Interoperability of signaling interlocking and its Cyber-Security requirements* 信号联锁的互操作性及其网络安全要求*
Ikram Abourahim, M. Amghar, M. Eleuldj
Today interoperability in railway systems is a worldwide necessity especially in Europe. Indeed, multiple systems control the mobility of trains through borders from one country to another one, yet the communication of railway signaling interlocking between these borders is still a challenge. Some projects deal with the interoperability issue. ERTMS is one of them: it ensures an exchange between interlocking and the train. EULYNX is another project that standardises interfaces between field equipment and computer interlocking. Our paper presents an approach for interlocking communication all along the architecture of computer interlocking. Indeed, due to the evolution of computer interlocking technology, we are faced to many architectures depending on signaling principles of each country and also the proposition of each actor in the industry. Our approach will dress a vision of interoperability that relies on the architecture of Functional Blocks (FB) related to IEC 61499 standard and Service Oriented Architecture (SOA); this architecture allows an easy communication of relevant information but requires a high level of security.
今天,铁路系统的互操作性在世界范围内是必要的,特别是在欧洲。的确,多个系统控制着从一个国家到另一个国家边境的火车的机动性,但这些边界之间的铁路信号联锁通信仍然是一个挑战。一些项目处理互操作性问题。ERTMS就是其中之一:它保证了联锁和列车之间的交换。EULYNX是另一个标准化现场设备和计算机联锁之间接口的项目。本文提出了一种基于计算机联锁体系结构的联锁通信方法。事实上,由于计算机联锁技术的发展,我们面临着许多架构,这取决于每个国家的信号原则以及行业中每个参与者的主张。我们的方法将呈现一个互操作性的愿景,它依赖于与IEC 61499标准和面向服务的体系结构相关的功能块(FB)体系结构;这种体系结构可以方便地交流相关信息,但需要很高的安全性。
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引用次数: 1
Data Anonymization in Social Networks State of the Art, Exposure of Shortcomings and Discussion of New Innovations 社交网络中的数据匿名化技术现状、缺陷暴露与创新讨论
Baida Ouafae, Ramdi Mariam, Louzar Oumaima, Lyhyaoui Abdelouahid
Privacy is a concern of social network users. Social networks are a source of valuable data for scientific or commercial analysis. Therefore, anonymizing social network data before releasing it becomes an important issue. The nodes in the network represent the individuals and the links among them denote their relationships. Nevertheless, publishing a social graph directly by simply removing the names of people who contributed to this graph raises important privacy issues. In particular, some inference attacks on the published graph can lead to de-anonymizing certain nodes, learning the existence of a social relation between two nodes or even using the structure of the graph itself to deduce the value of certain sensitive attributes. In this paper, we present a brief yet systematic review of the existing anonymization techniques for privacy preserving publishing of social network data. We identify the challenges in privacy preserving publishing of social network data comparing to the extensively studied relational case. We survey the existing anonymization methods for privacy preservation in three categories: graph modification approaches, generalization approaches and differential privacy methods.
隐私是社交网络用户关心的问题。社交网络是科学或商业分析的宝贵数据来源。因此,在社交网络数据发布前对其进行匿名化处理成为一个重要问题。网络中的节点代表个体,节点之间的链接代表个体之间的关系。然而,直接通过删除对该图表做出贡献的人的名字来发布社交图谱会引发重要的隐私问题。特别是,对已发布的图的一些推理攻击可以导致某些节点的去匿名化,学习两个节点之间存在社会关系,甚至使用图本身的结构来推断某些敏感属性的值。在本文中,我们简要而系统地回顾了现有的匿名化技术,以保护社交网络数据的隐私。与广泛研究的关系案例相比,我们确定了社交网络数据隐私保护发布方面的挑战。本文将现有的匿名化隐私保护方法分为三类:图修改方法、泛化方法和差分隐私保护方法。
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引用次数: 6
期刊
2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
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