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An Effective RF-based Intrusion Detection Algorithm with Feature Reduction and Transformation 一种有效的基于射频特征约简和变换的入侵检测算法
Pub Date : 2019-05-03 DOI: 10.5220/0007718602210228
Jinxia Wei, Chun Long, Wei Wan, Yurou Zhang, Jing Zhao, Guanyao Du
Intrusion detection systems are essential in the field of network security. To improve the performance of detection model, many machine learning algorithms have been applied to intrusion detection models. Higher-quality data is critical to the accuracy of detection model and could greatly improve the performance. In this paper, an effective random forest-based intrusion detection algorithm with feature reduction and transformation is proposed. Specifically, we implement the correlation analysis and logarithm marginal density ratio to reduce and strengthen the original features respectively, which can greatly improve accuracy rate of classifier. The proposed classification system was deployed on NSL-KDD dataset. The experimental results show that this paper achieves better results than other related methods in terms of false alarm rate, accuracy, detection rate and running time.
入侵检测系统是网络安全领域的重要组成部分。为了提高入侵检测模型的性能,许多机器学习算法被应用到入侵检测模型中。高质量的数据对检测模型的准确性至关重要,可以大大提高检测模型的性能。本文提出了一种有效的基于随机森林的特征约简和变换入侵检测算法。具体来说,我们分别通过相关分析和对数边际密度比对原始特征进行约化和强化,可以大大提高分类器的准确率。将该分类系统部署在NSL-KDD数据集上。实验结果表明,本文在虚警率、准确率、检测率和运行时间等方面均优于其他相关方法。
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引用次数: 2
A Proposal for an Integrated Smart Home Service Platform 一个集成的智能家居服务平台的构想
Pub Date : 2019-05-03 DOI: 10.5220/0007751006300636
Robert Wehlitz, Theo Zschörnig, Bogdan Franczyk
The growing popularity of Internet-connected smart devices in consumers’ homes has led to a steady increase in the number of smart homes worldwide. In order to provide meaningful added value for consumers and businesses alike, smart devices need to be accompanied by services and applications which excel conventional devices’ usages. However, integrated solutions to support the development and operation of smart home services for, and across, different devices and application scenarios are still missing in research as well as in industry. In this paper, we present the motivation, requirements and an initial concept for a fully integrated smart home service platform (SHSP), which may serve as a basis for further discussion.
互联网连接的智能设备在消费者家中的日益普及,导致全球智能家居数量稳步增长。为了为消费者和企业提供有意义的附加价值,智能设备需要伴随着超越传统设备用途的服务和应用程序。然而,支持针对不同设备和应用场景的智能家居服务开发和运营的集成解决方案在研究和行业中仍然缺乏。在本文中,我们提出了一个完全集成的智能家居服务平台(SHSP)的动机,要求和初步概念,可以作为进一步讨论的基础。
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引用次数: 1
MobileECG: An Ubiquitous Heart Health Guardian 移动心电图:无处不在的心脏健康卫士
Pub Date : 2019-05-03 DOI: 10.5220/0007703705790586
José Maria S. Monteiro, J. P. Madeiro, Angelo Brayner, N. Arruda
Electrocardiogram (ECG) is a widespread and efficient medical procedure for monitoring heart health. ECG is a fast, low-cost and non-invasive examination. Its output allows anomaly analysis by health experts. Despite its application in clinical environments, ECG acquisition and analysis as a daily routine is far from being a reality for a large part of the world’s population. In this context, we present here a mobile and pervasive platform, named MobileECG, which provides ECG signal acquisition, automatic feature extraction and real-time prediagnosis. Furthermore, MobileECG implements the ubiquitous computing features. Hence, it runs on mobile devices (smartphone or tablet), assuring this way anytime and anywhere access for anyone to its functionalities. MobileECG is in fact an ubiquitous Heart Health Guardian. Besides, MobileECG supports ECG data integration and publication using Linked Data technology, providing a public knowledge base, which may be used to support complex queries, run mining algorithms and yield collaboration among experts.
心电图(ECG)是一种广泛而有效的监测心脏健康的医疗程序。心电图是一种快速、低成本、无创的检查方法。它的输出允许健康专家进行异常分析。尽管心电图采集和分析在临床环境中得到了应用,但对于世界上很大一部分人来说,作为日常工作的心电图采集和分析还远远没有成为现实。在此背景下,我们提出了一个移动的普适平台MobileECG,该平台提供心电信号采集、自动特征提取和实时预诊断功能。此外,MobileECG实现了普适计算特性。因此,它运行在移动设备(智能手机或平板电脑)上,确保任何人随时随地访问其功能。MobileECG实际上是一个无处不在的心脏健康卫士。此外,MobileECG使用关联数据技术支持心电数据集成和发布,提供公共知识库,可用于支持复杂查询,运行挖掘算法并产生专家之间的协作。
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引用次数: 0
An Iterated Local Search-Based Algorithm to Support Cell Nuclei Detection in Pap Smears Test 基于迭代局部搜索的巴氏涂片细胞核检测算法
Pub Date : 2019-05-03 DOI: 10.1007/978-3-030-40783-4_5
D. N. Diniz, M. Souza, C. Carneiro, D. Ushizima, F. Medeiros, Paulo H. C. Oliveira, A. G. Bianchi
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引用次数: 6
Records Management Support in the Interoperability Framework for the Portuguese Public Administration 葡萄牙公共管理互操作性框架中的记录管理支持
Pub Date : 2019-05-03 DOI: 10.5220/0007673300840094
C. Viegas, André Vasconcelos, J. Borbinha, Zaida Chora
The Portuguese public administration has a core technological infrastructure for interoperability, which assures reliable core transactions, but takes all information objects as equals, leaving any necessary specialization to the applications. However, public administrations are highly regulated environments, which implies business processes involving entities of that domain are subject to strong requirements for information management. Records management in special is a specific concern, meaning metadata for that purpose must be produced along the production of the regular business information objects. In that sense, when two or more entities of a domain of this kind engage in transactions, it is helpful for all those involved if also metadata created for that purpose can be shared, which requires it to be commonly understood. In Portugal, national guidelines have been developed to support that goal, remaining now the challenge of their implementation. This is a classic problem of interoperability in distributed information systems, which has particular challenges when scoped in the domain of a large public administration, involving thousands of local systems. This paper describes the results of a research project intended to provide a proof of concept for that for the case of the Portuguese public administration, which resulted in a case of application of the Canonical Data Model method. The metadata schema produced is assessed using the Bruce-Hillman metadata quality framework, which made possible to conclude by its effectiveness, along with suggestions for future improvements.
葡萄牙公共行政具有互操作性的核心技术基础设施,它确保可靠的核心事务,但平等对待所有信息对象,将任何必要的专门化留给应用程序。然而,公共管理是高度规范的环境,这意味着涉及该领域实体的业务流程受制于对信息管理的强烈需求。记录管理是一个特别关注的问题,这意味着用于该目的的元数据必须在生成常规业务信息对象的同时生成。从这个意义上说,当这类领域的两个或多个实体参与事务时,如果为此目的创建的元数据也可以共享,这对所有涉及的实体都是有帮助的,这需要人们普遍理解它。在葡萄牙,已经制定了支持这一目标的国家准则,但目前仍是执行这些准则的挑战。这是分布式信息系统中互操作性的一个经典问题,在涉及数千个本地系统的大型公共管理领域中,它具有特殊的挑战。本文描述了一项研究项目的结果,该项目旨在为葡萄牙公共行政的案例提供概念证明,这导致了规范数据模型方法的应用。生成的元数据模式使用Bruce-Hillman元数据质量框架进行评估,该框架可以通过其有效性得出结论,并提供对未来改进的建议。
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引用次数: 2
A Framework to Evaluate Architectural Solutions for Ubiquitous Patient Identification in Health Information Systems 一个评估健康资讯系统中无所不在的病患识别的架构解决方案的框架
Pub Date : 2019-05-03 DOI: 10.5220/0007696305800587
Zuhaib Memon, O. Noran, P. Bernus
The lack of accurate, reliable and consistent patient information is a major issue in healthcare, despite a relatively high Health Information System (HIS) adoption level worldwide. The main reason for this appears to be patient records lacking accurate particulars, including links to associated care programs, disease classification and treatment plans. The causes for this are multiple, including incompatibility of healthcare standards between version releases, inconsistent HIS implementation, lack of effective data input / validation, and the rapid evolution of and absence of a single ‘universal’ technological solution. Sustainable, stable and long-term architectural solutions are required. This research builds on previous work identifying major challenges and root causes of the problem and proposing essential non-functional requirements for HIS architectures. The paper elaborates on non-functional requirements and proposes an evaluation framework (based on a new international standard) that can be used to assess aspiring HIS architectures for long term stability and self-evolution and thus to support strategic decision making from within the evolving HIS.
尽管全球卫生信息系统(HIS)采用率相对较高,但缺乏准确、可靠和一致的患者信息是医疗保健领域的一个主要问题。造成这种情况的主要原因似乎是患者记录缺乏准确的细节,包括与相关护理方案、疾病分类和治疗计划的联系。造成这种情况的原因是多方面的,包括版本之间的医疗保健标准不兼容、HIS实现不一致、缺乏有效的数据输入/验证,以及快速发展和缺乏单一的“通用”技术解决方案。需要可持续、稳定和长期的建筑解决方案。这项研究建立在先前工作的基础上,确定了问题的主要挑战和根本原因,并提出了HIS架构的基本非功能需求。本文详细阐述了非功能需求,并提出了一个评估框架(基于新的国际标准),该框架可用于评估有抱负的HIS体系结构的长期稳定性和自我进化,从而支持不断发展的HIS内部的战略决策。
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引用次数: 5
Usage of Smart Contracts with FCG for Dynamic Robot Coalition Formation in Precision Farming 基于FCG的智能合约在精准农业动态机器人联盟组建中的应用
Pub Date : 2019-05-03 DOI: 10.1007/978-3-030-40783-4_7
A. Smirnov, L. Sheremetov, N. Teslya
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引用次数: 3
The Determination of Customer Location as Human-Computer Interaction in the Retail Trade: Potentials and New Business Models 零售业人机交互中的顾客定位:潜力与新商业模式
Pub Date : 2019-05-03 DOI: 10.5220/0007618304250432
M. Wißotzki, P. Schweers, Johannes Wichmann
The Customer Journey has to be better grasped and understood, so that enterprises will be able to exist at the stationary trade regarding the future of digital competition. The seamless transition from outdoor to indoor navigation and analyses of movement streams enable many new fields of application, which improve the Customer Journey. The derivation of new fields of application and business models requires knowledge of a market’s needs and potentials. The aim of this work is to determine the needs and potentials for the regulation of indoor location as well as the derivation of new cases of application and potential business models. For this purpose, interviews with experts from leading software and technology companies as well as specialists of retail trade with many years of professional experience were conducted.
在数字化竞争的未来,企业必须更好地把握和理解客户之旅,才能在静止的贸易中生存。从室外到室内的无缝过渡导航和运动流分析实现了许多新的应用领域,从而改善了客户的旅程。新的应用领域和商业模式的衍生需要了解市场的需求和潜力。这项工作的目的是确定室内位置监管的需求和潜力,以及衍生新的应用案例和潜在的商业模式。为此,我们采访了来自领先的软件和科技公司的专家,以及具有多年专业经验的零售业专家。
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引用次数: 3
A Tool for Analyzing Academic Genealogy 一个分析学术谱系的工具
Pub Date : 2019-05-03 DOI: 10.1007/978-3-030-40783-4_21
Gabriel Madeira, E. N. Borges, Giancarlo Lucca, H. Santos, G. Dimuro
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引用次数: 2
A Data Traffic Reduction Approach Towards Centralized Mining in the IoT Context 物联网环境下集中挖掘的数据流量减少方法
Pub Date : 2019-05-03 DOI: 10.5220/0007674505630570
R. Brandão, R. Goldschmidt, R. Choren
The use of Internet of Things (IoT) technology is growing each day. Its capacity to gather information about the behaviors of things, humans, and process is grabbing researchers’ attention to the opportunity to use data mining technologies to automatically detect these behaviors. Traditionally, data mining technologies were designed to perform on single and centralized environments requiring a data transfer from IoT devices, which increases data traffic. This problem becomes even more critical in an IoT context, in which the sensors or devices generate a huge amount of data and, at the same time, have processing and storage limitations. To deal with this problem, some researchers emphasize the IoT data mining must be distributed. Nevertheless, this approach seems inappropriate once IoT devices have limited capacity in terms of processing and storage. In this paper, we aim to tackle the data traffic load problem by summarization. We propose a novel approach based on a grid-based data summarization that runs in the devices and sends the summarized data to a central node. The proposed solution was experimented using a real dataset and obtained an expressive reduction in the order of 99% without compromising the original dataset distribution’s shape.
物联网(IoT)技术的使用每天都在增长。它能够收集有关事物、人类和过程行为的信息,这吸引了研究人员的注意力,使他们有机会使用数据挖掘技术来自动检测这些行为。传统上,数据挖掘技术被设计为在需要从物联网设备传输数据的单一和集中环境中执行,这增加了数据流量。在物联网环境中,这个问题变得更加关键,因为传感器或设备会产生大量数据,同时具有处理和存储限制。为了解决这一问题,一些研究者强调物联网数据挖掘必须是分布式的。然而,一旦物联网设备的处理和存储能力有限,这种方法似乎就不合适了。在本文中,我们的目标是通过总结来解决数据流量负载问题。我们提出了一种基于网格的数据汇总的新方法,该方法在设备中运行,并将汇总的数据发送到中心节点。在真实数据集上进行了实验,在不影响原始数据集分布形状的情况下,获得了99%左右的表达性约简。
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引用次数: 1
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International Conference on Enterprise Information Systems
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