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Multi-agent Reinforcement Learning for Urban Projects Planning 城市项目规划的多智能体强化学习
Boudjemaa Khelifa, Mohamed Ridda Laouar
Actually, planners always need more and more updated plans to satisfy eventual changes. Those plans usually bring immediate and even sustainable solutions. According to the nature of problems, and decision-makers yearnings, the allocated time to establish plans is still tight. Therefore, adequate technics and methods are suitable to tackle this problem. Recently, a primer research field called Machine learning (ML), whose technics are based on learning by studying data or by applying known rules to categorize things, to predict outcomes, to identify patterns, or to detect unexpected behaviors. Reinforcement learning (RL) is an active research field of ML, based on learning how to map situations to actions, so as to maximize a numerical reward. By employing RL methods, the aim is to provide better plans for urban projects, wherein they are modeled to form a multi-agents system, acting cooperatively and optimally.
实际上,规划者总是需要越来越多的更新计划来满足最终的变化。这些计划通常会带来立竿见影甚至可持续的解决方案。根据问题的性质和决策者的愿望,分配给制定计划的时间仍然很紧张。因此,适当的工艺和方法是适合解决这一问题的。最近,一个初级研究领域被称为机器学习(ML),其技术是基于通过研究数据或应用已知规则来对事物进行分类、预测结果、识别模式或检测意外行为的学习。强化学习(RL)是机器学习的一个活跃研究领域,它基于学习如何将情境映射到行动,从而最大化数值奖励。通过使用RL方法,目的是为城市项目提供更好的规划,其中它们被建模形成一个多智能体系统,合作和最佳地行动。
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引用次数: 1
IDSS-BM: Intelligent Decision Support System for Business Models 商业模式智能决策支持系统
Basma Hamrouni, A. Korichi, Abdelhabib Bourouis
For decision makers, the Business Model is crucial for the success of organizations. It reflects manager's assumptions about what customers want, and how an enterprise can best meet those needs and get paid for. Decision support systems can assist in making Business Model design decisions. However, previous work on decision support systems for business models provides no solution for explaining their reasoning for managers. The purpose of this paper is to discuss the development of a new generation of intelligent decision support system that have ability of providing explanations to increase confidence in proposed solutions. The intelligent system by giving some support for the suggested conclusions could be used as learning tool in business schools. The proposed system uses Case-Based Reasoning (CBR) as the resolution methodology, which is an important aspect of artificial intelligence. It is a computational methodology designed to generate new solutions to given problems by analyzing known solutions to previously solved problems. The Business Model decision-making tool would provide both the solution and explanation on how it is obtained.
对于决策者来说,商业模式对组织的成功至关重要。它反映了管理者对客户需求的假设,以及企业如何才能最好地满足这些需求并获得回报。决策支持系统可以帮助制定业务模型设计决策。然而,以前关于商业模型决策支持系统的工作没有为管理者解释其推理提供解决方案。本文的目的是讨论新一代智能决策支持系统的发展,该系统具有提供解释的能力,以增加对拟议解决方案的信心。智能系统通过对建议的结论提供一些支持,可以作为商学院的学习工具。该系统采用基于案例的推理(CBR)作为解决方法,这是人工智能的一个重要方面。它是一种计算方法,旨在通过分析已知解决方案来生成给定问题的新解决方案。商业模型决策工具将提供解决方案和如何获得解决方案的解释。
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引用次数: 7
Hybrid Approach for Congestion Control in VANETs VANETs中拥塞控制的混合方法
Boubakeur Achichi, F. Semchedine, L. Derdouri
Vehicular Ad-Hoc Network, or VANETs, is a form of MANET, through which cars will exchange messages to detect dangerous situations and announce them to drivers. In VANETs, vehicles (nodes) are characterized by a high dynamics and high mobility, in addition to the high rate of topology change and density variability. Quality of service in VANETs represents a major challenge, not yet solved, due to the characteristics and strict constraints of VANETs. In order to improve the performance and reliability of message dissemination on VANETs, congestion control must be taken into account. Many studies asserted that proper congestion control algorithms are essential to ensure an efficient network operation. However, most of the existing congestion control solutions have limitations. In this paper, we propose congestion control algorithm as solution to avoid congestion in VANETs environment. The proposed solution is based on a combination of two approaches: the event-oriented and the measurement-based, with message scheduling. The proposed solution is to reduce congestion and increase reliability to VANETs by assigning higher priority to critical security message.
车辆自组织网络(Vehicular Ad-Hoc Network,简称VANETs)是MANET的一种形式,通过这种网络,汽车可以交换信息,发现危险情况并向驾驶员通报。在VANETs中,车辆(节点)除了具有高拓扑变化率和密度变异性外,还具有高动态和高移动性的特点。由于VANETs的特点和严格的约束,VANETs的服务质量是一个尚未解决的重大挑战。为了提高vanet上消息传播的性能和可靠性,必须考虑拥塞控制。许多研究认为,适当的拥塞控制算法是保证网络高效运行的关键。然而,大多数现有的拥塞控制解决方案都有局限性。本文提出了拥塞控制算法作为解决VANETs环境下的拥塞问题的方法。建议的解决方案基于两种方法的组合:面向事件的方法和基于度量的方法,并带有消息调度。提出的解决方案是通过为关键安全消息分配更高的优先级来减少拥塞并提高vanet的可靠性。
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引用次数: 7
Device and Circuit Level Performance Analysis of a New Nanoscale DGJL MOSFET Design Using an Accurate Numerical Computation 基于精确数值计算的新型纳米级DGJL MOSFET器件及电路级性能分析
Elasaad Chebaki, F. Djeffal, T. Bentrcia, H. Ferhati
This paper shows a new Double Gate Junctionless (DGJL) MOSFET design based on both highly doped drain/source extensions and gate material engineering. The device electrical behavior at the nanoscale level is investigated using an accurate numerical computation based on TCAD simulation provided by ATLAS 2D simulator, where quantum confinement effects and the modified drift-diffusion transport model that takes into account SCEs are included. Circuit performance parameters are also developed incorporating the impact of dual-material gate engineering and highly doped extension regions. The effect of the proposed design amendments on the performance of the common source single stage amplifier circuit based on DGJL MOSFET is also performed, where the proposed design exhibits an outstanding capability for offering improved amplifier properties. In order to analyze the characteristics and circuit performance of the device, we have adopted mixed mode simulation under Silvaco environment for the implementation of the inverter circuit. Based on the numerical, outcomes satisfactory results are recorded in comparison with the conventional nanoscale junctionless design.
本文提出了一种基于高掺杂漏源扩展和栅极材料工程的新型双栅无结MOSFET (DGJL)设计。采用基于ATLAS 2D模拟器提供的TCAD仿真的精确数值计算,研究了纳米级器件的电学行为,其中包括量子约束效应和考虑ses的修正漂移-扩散输运模型。考虑到双材料栅极工程和高掺杂延伸区域的影响,还开发了电路性能参数。提出的设计修正对基于DGJL MOSFET的共源单级放大电路性能的影响也被执行,其中提出的设计显示出提供改进的放大器性能的杰出能力。为了分析该器件的特性和电路性能,我们采用了在Silvaco环境下的混合模式仿真来实现逆变电路。在此基础上,与传统的纳米级无结设计进行了比较,得到了满意的结果。
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引用次数: 0
Energy consumption and economic growth: the case of Morocco 能源消费与经济增长:以摩洛哥为例
Safae Misry, Abdellah Echaoui, Y. E. Ouazzani
This study examines the link between energy consumption and economic growth in the case of Morocco for the period from 1981 to 2017. Using the procedure of Toda and Yamamoto, the result shows that there is a unidirectional causality between energy consumption and economic growth.
本研究考察了1981年至2017年期间摩洛哥能源消费与经济增长之间的联系。利用Toda和Yamamoto的方法,结果表明能源消费与经济增长之间存在单向因果关系。
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引用次数: 0
A Hybrid Approach for Amazigh-English Machine Translation 一种混合的阿奇英机器翻译方法
I. Taghbalout, Fadoua Ataa-Allah
In this paper, we present our hybrid methodology for building a bidirectional Amazigh-English machine translation. The architecture of the proposed system is based on both Interlingua-Based Machine Translation (IBMT) and Statistical-Based Machine Translation (SBMT) approaches. Amazigh is a less-resourced language. It does not have parallel corpora with enough size. So, using statistical approach for such language will not be a good choice, because this approach requires large parallel corpora to well train probabilistic models, and to ensure a translation of good quality. Since we dispose of an Amazigh IBMT based deconverter, we thought, firstly, to use it in building an Amazigh-English parallel corpus. This latter have been exploited to train the necessary models in SBMT.
在本文中,我们提出了我们的混合方法来构建双向阿马齐格-英语机器翻译。该系统的体系结构基于基于语言间的机器翻译(IBMT)和基于统计的机器翻译(SBMT)两种方法。Amazigh是一种资源较少的语言。它没有足够大的平行语料库。因此,对这种语言使用统计方法并不是一个好的选择,因为这种方法需要大量的并行语料库来很好地训练概率模型,并确保高质量的翻译。由于我们处理了一个基于Amazigh IBMT的反转换器,我们认为,首先,将其用于构建Amazigh- english平行语料库。后者已经被用来训练SBMT中必要的模型。
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引用次数: 0
Automatic approach for the extraction of indexes of electric meters and water 一种自动提取电表、水表指标的方法
Ayman Naim, A. Aaroud, Said Saadani
The water meter is used as a gadget in order to calculate water consumption. This gadget use a water flow and shows an arithmetic result with a mechanical number counter. In practice, The operator manually checks the number counter periodically. The operator makes records of the number displays by the water meter for water consumption. This process takes time and is Vulnerable to human error. In this article, we suggest an Android mobile device that calculates water consumption for the customer in real time. By owning applications that support Android smartphones, Customers can have access to their water bill at any time by creating their own account. when the subscriber account is created, the subscriber can take a picture of the water meter that will then be sent to the server for processing, and the level of consumption and any alerts will be definitely transferred to the user on his smartphone according to the picture sent. absolutely, the client will use this application by connecting to the internet.
水表是用来计算用水量的小工具。这个小工具利用水流,用机械数字计数器显示算术结果。在实际操作中,操作员定期手工检查号码计数器。操作员记录水表显示的用水量数字。这个过程需要时间,而且容易出现人为错误。在本文中,我们建议使用一种Android移动设备,它可以实时计算客户的用水量。通过拥有支持Android智能手机的应用程序,客户可以通过创建自己的帐户随时访问他们的水费账单。当用户创建帐户时,用户可以拍摄水表的照片,然后将其发送到服务器进行处理,并且根据发送的照片,消耗水平和任何警报将明确地传输到用户的智能手机上。当然,客户端将通过连接到互联网来使用这个应用程序。
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引用次数: 0
Extracting Geographic Knowledge from Wikipedia 从维基百科中提取地理知识
D. Benhaddouche, Mohamed Tekkouk, Abdelghani Chernnouf Youcef
GIS is becoming a necessity in a wide variety of application domains and the extraction of such geographic information has taken an important part in the computer science field. This thesis has the objective of extracting geographic data from Wikipedia to make it easier for users to obtain the information they want. One problematic aspect is the large volume XML file processing, we try to use text mining and machine learning techniques to solve this problem. In this work, we present and evaluate an approach to extract geographic data from Wikipedia from a very large XML file and create a geographic databae. Our technique is to extract infoboxes from geographic articles using the supervised machine learning (SVM) technique. We create after that tables containing geographic data (name, longitude, latitude ... etc) and we make the joins between different tables that will help us to structure our result.
地理信息系统已成为各种应用领域的必需品,地理信息的提取已成为计算机科学领域的重要组成部分。本文的目的是从维基百科中提取地理数据,使用户更容易获得他们想要的信息。其中一个问题是大量XML文件的处理,我们尝试使用文本挖掘和机器学习技术来解决这个问题。在这项工作中,我们提出并评估了一种从一个非常大的XML文件中提取维基百科地理数据并创建地理数据库的方法。我们的技术是使用监督机器学习(SVM)技术从地理文章中提取信息框。之后,我们创建包含地理数据(姓名、经度、纬度……)的表。等),我们在不同的表之间建立连接,这将帮助我们构建我们的结果。
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引用次数: 0
Best Road Based Immersive Visualization Framework for patient in emergency: The ISRM application 急诊患者最佳道路沉浸式可视化框架:ISRM应用
Hanen Faiez, J. Akaichi
To immerse a person is to give him the feeling of being present in a virtual space. To concatenate immersive with analytic we obtain "The immersive analytics". Immersive Analysis is an area that explores new interaction and display technologies for analytics to support multi-discipline data reasoning. Monitoring systems and routing algorithms are two disciplines that have greatly beneficiated from this area since that the image is the basis on which we build our decision in this kind of systems. Since these techniques increase the human capacity for analysis and to understand heterogeneous, massive and often multiform data sets, and because a good detection of routing or performance degradation anomalies depends on a good data analysis, using a visual analysis system we show in this article how immersive analysis immerse the user in his task to better support data analysis allowing him to provide clear and timely information to make the right decision specially in emergencies
让一个人沉浸其中就是给他一种置身于虚拟空间的感觉。将沉浸式与分析式结合起来,我们得到了“沉浸式分析”。沉浸式分析是一个探索新的交互和显示技术的分析领域,以支持多学科数据推理。监控系统和路由算法是这一领域极大受益的两个学科,因为图像是我们在这类系统中建立决策的基础。由于这些技术提高了人类分析和理解异构、大规模和多形式数据集的能力,并且由于良好的路由或性能下降异常检测依赖于良好的数据分析,因此我们在本文中使用可视化分析系统展示了沉浸式分析如何使用户沉浸在他的任务中,以更好地支持数据分析,使他能够提供清晰及时的信息,以便在紧急情况下做出正确的决策
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引用次数: 0
Normalization of XML Schema Definitions XML模式定义的规范化
Zouhaier Brahmia, F. Grandi, R. Bouaziz
An XML schema definition can be organized according to one of the following design styles: "Russian Doll", "Salami Slice", "Venetian Blind", or "Garden of Eden"; otherwise, it is said to be in "Bologna" style, which actually means free format. Converting a complex XML schema from a style to another without automated support is not a trivial task. The "Garden of Eden" style can be considered as a normalized format since the definitions of all components (i.e., elements, attributes and types) are global and, thus, can be re-used in the definition of other XML schema constructs (e.g., when expanding the schema or importing it into another schema or using it to define an XML namespace). In this work, we present a Normalize procedure, which can be used to convert any given XML schema to the "Garden of Eden" style, by automatically transforming and rearranging all declarations and definitions it contains.
XML模式定义可以根据以下设计风格之一进行组织:“俄罗斯娃娃”、“香肠片”、“威尼斯窗帘”或“伊甸园”;否则,它被称为“博洛尼亚”风格,这实际上意味着自由格式。在没有自动化支持的情况下将复杂的XML模式从一种样式转换为另一种样式并不是一项简单的任务。“伊甸园”风格可以被视为一种规范化格式,因为所有组件(即元素、属性和类型)的定义都是全局的,因此可以在其他XML模式构造的定义中重用(例如,在扩展模式或将其导入另一个模式或使用它来定义XML命名空间时)。在本文中,我们提出了一个Normalize过程,它可以通过自动转换和重新排列XML模式包含的所有声明和定义,将任何给定的XML模式转换为“伊甸园”风格。
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引用次数: 1
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Proceedings of the 7th International Conference on Software Engineering and New Technologies
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