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2019 International Conference of Computer Science and Renewable Energies (ICCSRE)最新文献

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An evaluation of learner clustering based on learning styles in MOOC course 基于学习风格的MOOC课程学习者聚类评价
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807503
Ali El Mezouary, Brahim Hmedna, Omar Baz
This article presents an approach for the automatic detection of learners' learning styles from their traces when they interact with a MOOC environment. The approach in question has been evaluated in particular to identify learners' learning styles associated with the active/reflective dimension, with reference to the Felder-Silverman model (FSLSM), which is one of the most popular models in the learning technology.
本文提出了一种从学习者与MOOC环境交互时的痕迹中自动检测学习者学习风格的方法。参考学习技术中最流行的模型之一Felder-Silverman模型(FSLSM),对所讨论的方法进行了特别评估,以确定与主动/反思维度相关的学习者的学习风格。
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引用次数: 5
Markov Decision Processes with Discounted Cost: The action elimination procedures 具有贴现成本的马尔可夫决策过程:行动消除过程
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807578
Abdellatif Semmouri, M. Jourhmane
Several accelerating procedures are developed for solving discounted Markov decisions processes problems. The most of them are focused on discounted reward by finding lower and upper bounds for the optimal value function. In the same framework, interested authors proposed some tests to eliminate non-optimal action in order to reduce de computational complexity.In this paper, we will present a new suboptimal test for the standard value iteration algorithm to minimize the discounted cost. This criterion has many applications areas like Economics and Management, Financial Modeling, Artificial Intelligence
几个加速程序开发解决贴现马尔可夫决策过程问题。它们大多通过寻找最优价值函数的下界和上界来关注折扣奖励。在相同的框架下,有兴趣的作者提出了一些测试来消除非最优行为,以降低计算复杂度。在本文中,我们将提出一个新的次优测试的标准值迭代算法,以最小化贴现成本。这一标准有许多应用领域,如经济与管理、金融建模、人工智能
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引用次数: 1
Industrial Automation PLC-based modeling and diode ideality factor impact on PV characteristics 基于工业自动化plc的建模及二极管理想性因素对PV特性的影响
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807632
Youness Ouberri, H. Yatimi, E. Aroudam
This paper proposes a novel modeling approach of photovoltaic (PV) module using SIEMENS industrial automation PLC S7-300. The main contribution of this work is the modeling of PV module using the automation PLC and the study of the impact of the diode ideality factor variation on the PV module characteristics. To validate the accuracy of the proposed approach, the datasheet’s I-V curves for several irradiation levels at 25°C of a multi-crystalline PV module will be compared to the simulated I-V and P-V curves obtained by SIEMENS WinCC flexible.
提出了一种基于西门子工业自动化PLC S7-300的光伏模块建模方法。本工作的主要贡献是利用自动化PLC对光伏组件进行建模,并研究了二极管理想因数变化对光伏组件特性的影响。为了验证所提出方法的准确性,将数据表中多晶光伏组件在25°C下几种辐照水平下的I-V曲线与SIEMENS WinCC flexible获得的模拟I-V和P-V曲线进行比较。
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引用次数: 3
Locker Security System Using Keypad and RFID 使用键盘和RFID的储物柜安全系统
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807588
S. Mohammed, Abdul Hakim Alkeelani
the main purpose of this paper is to design and implement a system based on a Password and a Radio-Frequency Identification RFID. This system is basically a password and an RFID based access-control system which permits only an authentic person to unlock. For doing this, the system will activate and authenticate the user. We have applied a security system via a passive type of RFID and a PASSWORD based on Atmega16 microcontroller. The RFID reader reads the ID number form RFID tag. Then enter the password from a Keypad, if the ID number of the tag and the password are correct, then the will unlock. The aim of constructing this system is to put in place a formidable locker security system with low cost and free of errors.
本文的主要目的是设计和实现一个基于密码和射频识别的RFID系统。这个系统基本上是一个密码和基于RFID的访问控制系统,它只允许一个真正的人解锁。为此,系统将激活并验证用户。我们应用了一个基于Atmega16单片机的无源RFID和密码的安全系统。RFID阅读器从RFID标签读取ID号码。然后从键盘输入密码,如果标签的ID号和密码正确,则解锁。构建该系统的目的是建立一个低成本、无错误的强大的储物柜安全系统。
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引用次数: 11
The role of big data in a connected environment Case study: smart city 案例研究:智慧城市
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807501
Sara Ftaimi, Tomader Mazeri
Recently data have been growing in an exponential way due to the evolution of technology and the emergence of internet. The apparition of 5G in 2020 will extremely increase the rate of data growth. Moreover the analytics of big data will be necessary, the results of big data analysis might be employed in different aspects of our daily lives and make it much easier. Understanding the data generated by sensors or mobile phones will help to know better citizens behavior, in order to develop a range of useful applications that can facilitate the individual’s life in the community. This paper discusses the different types of data collected in a smart city managed by mobile networking it will put the light on the data classifications in mobile networking and will identify priority data.
最近,由于技术的发展和互联网的出现,数据以指数方式增长。2020年5G的出现将极大地提高数据增长速度。此外,大数据的分析将是必要的,大数据分析的结果可能会在我们日常生活的不同方面使用,使它更容易。了解由传感器或移动电话产生的数据将有助于更好地了解公民的行为,从而开发一系列有用的应用程序,从而促进个人在社区中的生活。本文讨论了在移动网络管理的智慧城市中收集的不同类型的数据,它将阐明移动网络中的数据分类,并将确定优先级数据。
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引用次数: 2
Numerical and Mathematical Simulation of the Energy Efficiency of Traditional Buildings for Thermal Comfort 传统建筑热舒适能效的数值与数学模拟
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807777
M. SAIDI HASSANI ALAOUI, Kamal Guraoui, Y. Belkassmi
The present work consists of a mathematical and numerical study of the energy efficiency case of a traditional courtyard house model. The thermal behavior of the rooms surrounding this courtyard is analyzed in a temperate climate using a passive building design. The model governing this study is the equation of continuity, momentum and energy. Generally, the system of equation does not accept an analytical solution, the resolution it is done with a numerical method chosen one proposes the method of the finite differences, which gives a perfect resolution for the algebraic system by means of the method of Gauss Seidel. This model has carried out different thermal simulations using different parameters to improve the indoor climate in summer and winter in perfect agreement with those obtained by other authors.
本文对传统四合院模型的能效案例进行了数学和数值研究。使用被动式建筑设计,在温带气候下分析了庭院周围房间的热行为。指导本研究的模型是连续性、动量和能量的方程。一般情况下,方程组不接受解析解,用数值方法进行求解,其中提出了有限差分法,用高斯塞德尔法对代数方程组进行了完美的求解。该模型采用不同的参数进行了不同的热模拟,以改善夏季和冬季的室内气候,与其他作者的结果完全一致。
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引用次数: 2
Modeling and Electrical Parameters Extracting of Polymer Solar Cells 聚合物太阳能电池建模与电参数提取
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807750
E. Chahid, A. Malaoui, A. Koumina, S. Belaaouad
The Polymer Solar Cells (PSCs) have gained increasing interest in the past few years as a possible alternative to silicon cells and could provide many advantages as a flexibility and low cost... The functioning of PSCs depends heavily on intrinsic electrical parameters through the knowledge of the influence of each parameter on the I-V characteristic of the cell. In this work, we determine the PSC’s electrical parameters of the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl-C61-butyric acid methyl ester (PCBM). This identification is based on the experimental current- voltage characteristic using a single diode model. The Least Square Method (LSM) combined with Levenberg Marquardt’s algorithm are proposed to identify these electrical parameters. The obtained results indicate the importance of the proposed method and a high accuracy of the estimated parameters compared with the previous conducting studies.
聚合物太阳能电池(PSCs)作为硅电池的一种可能的替代品,在过去的几年里获得了越来越多的兴趣,并且可以提供许多灵活性和低成本的优点。通过了解每个参数对细胞I-V特性的影响,PSCs的功能在很大程度上取决于内在电参数。在这项工作中,我们确定了聚(3-己基噻吩)(P3HT)和[6,6]-苯基- c61 -丁酸甲酯(PCBM)的PSC的电参数。这种识别是基于单二极管模型的实验电流-电压特性。提出了结合Levenberg - Marquardt算法的最小二乘法(LSM)来识别这些电参数。所得结果表明,与以往的研究相比,所提出的方法的重要性和估计参数的准确性较高。
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引用次数: 0
Observer Design for Simultaneous State and Fault Estimation for a Class of Implicit Linear Models 一类隐式线性模型同时状态和故障估计的观测器设计
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807633
Kaoutar Ouarid, A. El Assoudi, J. Soulami, E. H. El Yaagoubi
A new observer design in explicit structure for a class of implicit linear models (ILMs) in presence of actuator and sensor faults is given in this paper. First, the study is based on the second equivalent form of an implicit model [1] where the differential equations are completely separated of the algebraic equations. Next, the observer is designed to estimate simultaneously the unknown states, the actuator faults and the sensor faults. The condition of exponential stability is given in term of linear matrix inequality (LMI) by using the Lyapunov theory. Finally, an application to an ILM of a heat exchanger process is presented to illustrate the performance of the proposed method.
针对一类存在执行器和传感器故障的隐式线性模型,提出了一种新的显式结构观测器设计方法。首先,研究基于隐式模型的第二种等效形式[1],其中微分方程与代数方程完全分离。其次,设计观测器来同时估计未知状态、执行器故障和传感器故障。利用李雅普诺夫理论给出了线性矩阵不等式(LMI)的指数稳定性条件。最后,以热交换过程的ILM为例说明了该方法的有效性。
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引用次数: 1
Solving Fuzzy Systems of Linear Equations by the First-Order Richardson Method 用一阶Richardson方法求解模糊线性方程组
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807550
Zineb Belhallaj, Abdellatif Semmouri
For the purpose of solving the systems of fuzzy equations, many interested researchers are proposed several iterative methods. The desired goal in this framework is to reduce the computational complexity either in memory space or in time. The natural idea is to improve the standard techniques, to give birth to others and to apply these theoretical results on the realistic plan.In this paper, we will extend the Richardson iterative method from crisp linear equations to fuzzy context. In addition, we explain the efficiency of suggested method by solving a numerical example as a fuzzy version of examples from classical circuit analysis.
为了求解模糊方程组,许多有兴趣的研究者提出了几种迭代方法。该框架的预期目标是减少内存空间或时间上的计算复杂度。自然的想法是改进标准技术,生产其他产品,并将这些理论结果应用于现实计划。在本文中,我们将理查德森迭代法从清晰的线性方程推广到模糊环境。此外,我们还通过求解一个数值实例来解释该方法的有效性,该实例是经典电路分析实例的模糊版本。
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引用次数: 0
Trends in deep convolutional neural Networks architectures: a review 深度卷积神经网络架构的发展趋势:综述
Pub Date : 2019-07-01 DOI: 10.1109/ICCSRE.2019.8807741
Azeddine Elhassouny, F. Smarandache
Deep convolutional Neural networks(CNN) has recognized much advances in recent years. Many CNN models have been proposed in few years ago which focused by first on improving accuracy, next minimize number of parameters using squeeze architecture, then CNN model adapted for embedded and mobile systems. But face the huge applications of CNN in computer vision, few papers discuss what is the theory behind building CNN models combining some components. In this paper, we present a survey of recent advances in CNN architecture design taking into account the three periods listed above.
近年来,深度卷积神经网络(CNN)取得了很大的进步。几年前提出了许多CNN模型,这些模型首先关注提高精度,然后使用挤压结构最小化参数数量,然后CNN模型适用于嵌入式和移动系统。但是面对CNN在计算机视觉中的巨大应用,很少有论文讨论结合某些组件构建CNN模型背后的理论是什么。在本文中,考虑到上述三个时期,我们对CNN建筑设计的最新进展进行了调查。
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引用次数: 34
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2019 International Conference of Computer Science and Renewable Energies (ICCSRE)
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