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Smart Fall Detection by Enhanced SVM with Fuzzy Logic Membership Function 基于模糊隶属函数的增强支持向量机智能跌倒检测
4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2023-09-28 DOI: 10.3897/jucs.91399
Mohammad Kchouri, Norharyati Harum, Hussein Hazimeh, Ali Obeid
Falling is a critical issue for disabled people, and it leads to potentially serious injuries and death. Smart fall detection is a technology that depends on sensors and auxiliary devices that seek to improve the quality of life and enhance the lifestyle of disabled people. So far, the most widely used fall prediction methods collect data from inertial measurement unit (IMU) sensors. In addition, they use thresholds to identify falls based on artificial experiences or machine learning (ML) algorithms. Nonetheless, these approaches still require extensive classification and calibration. In this paper, we suggest a new technique to detect falls by combining Fuzzy Logic (FL) and Support Vector Machine (SVM). The FL model is built by using a fuzzy membership function along with the input dataset to obtain the intermediate output. Because combining these two algorithms is not an easy task, we leverage SVM with a kernel comprised of a fuzzy membership function and thus build a new model known as FSVM. Besides, the hyperplane of the SVM is used as the separating plane to replace the traditional threshold method for detecting falling Activities of Daily Living (ADLs) on a comprehensive dataset containing simulated falling ADLs, non-falling ADLs, and scripted ADLs, including falling ADLs and unscripted ADLs performed by volunteers with our designed device. The results show that no false-positive rate had been triggered, and 100% specificity was achieved for ADL. An overall accuracy of about 99.87% in detecting the fall function was obtained. Furthermore, the overall sensitivity of 100% with no false negative rate obtained was achieved by implementing the proposed method. The attained results validate that our introduced method can effectively learn from features extracted from a multiphase fall model. 
跌倒对残疾人来说是一个严重的问题,它可能导致严重的伤害和死亡。智能跌倒检测是一种依靠传感器和辅助设备的技术,旨在改善残疾人的生活质量和生活方式。到目前为止,最广泛使用的跌倒预测方法是从惯性测量单元(IMU)传感器收集数据。此外,他们使用阈值来识别基于人工经验或机器学习(ML)算法的跌倒。尽管如此,这些方法仍然需要广泛的分类和校准。本文提出了一种将模糊逻辑(FL)与支持向量机(SVM)相结合的跌倒检测方法。利用模糊隶属函数与输入数据集建立模糊隶属函数模型,得到中间输出。由于结合这两种算法不是一件容易的事情,我们利用支持向量机与一个由模糊隶属函数组成的核,从而建立一个新的模型,称为FSVM。此外,利用SVM的超平面作为分离平面,取代传统的阈值方法,在包含模拟跌倒活动、非跌倒活动和脚本式跌倒活动(包括志愿者使用我们设计的设备进行的跌倒活动和无脚本式跌倒活动)的综合数据集上检测跌倒活动。结果显示,未触发假阳性率,对ADL的特异性达到100%。对跌落函数的检测总体准确率达99.87%。此外,该方法的总体灵敏度达到100%,无假阴性率。实验结果表明,该方法可以有效地从多相跌落模型中提取特征进行学习。
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引用次数: 0
Semi-Supervised Semantic Segmentation for Identification of Irrelevant Objects in a Waste Recycling Plant 基于半监督语义分割的垃圾回收厂无关目标识别
4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2023-05-28 DOI: 10.3897/jucs.87643
César Domínguez, Jónathan Heras, Eloy Mata, Vico Pascual, Lucas Fernández-Cedrón, Marcos Martínez-Lanchares, Jon Pellejero-Espinosa, Antonio Rubio-Loscertales, Carlos Tarragona-Pérez
In waste recycling plants, measuring the waste volume and weight at the beginning of the treatment process is key for a better management of resources. This task can be conducted by using orthophoto images, but it is necessary to remove from those images the objects, such as containers or trucks, that are not involved in the measurement process. This work proposes the application of deep learning for the semantic segmentation of those irrelevant objects. Several deep architectures are trained and compared, while three semi-supervised learning methods (PseudoLabeling, Distillation and Model Distillation) are proposed to take advantage of non-annotated images. In these experiments, the U-net++ architecture with an EfficientNetB3 backbone, trained with the set of labelled images, achieves the best overall multi Dice score of 91.23%. The application of semi-supervised learning methods further boosts the segmentation accuracy in a range between 1.31% and 2.59%, on average.
在废物回收厂,在处理过程开始时测量废物体积和重量是更好地管理资源的关键。这项任务可以通过使用正射影像来完成,但有必要从这些图像中去除不涉及测量过程的物体,如集装箱或卡车。这项工作提出了将深度学习应用于这些不相关对象的语义分割。对几种深度架构进行了训练和比较,同时提出了三种半监督学习方法(伪标记、蒸馏和模型蒸馏)来利用未注释的图像。在这些实验中,采用高效率netb3主干的unet++架构,在标记图像集的训练下,获得了91.23%的最佳整体多Dice分数。半监督学习方法的应用进一步提高了分割准确率,平均在1.31% ~ 2.59%之间。
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引用次数: 0
Applying Brand Equity Theory to Understand the Opinion of Consumers in Social Media 运用品牌资产理论理解社交媒体中的消费者意见
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2016-01-01 DOI: 10.3217/jucs-022-05-0709
E. Kalampokis, Areti Karamanou, E. Tambouris, K. Tarabanis
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引用次数: 0
An MDA approach for goal-oriented requirement analysis in Web engineering Web工程中面向目标的需求分析的MDA方法
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2010-09-01 DOI: 10.3217/JUCS-016-17-2475
José Alfonso Aguilar Calderón, Irene Garrigós Fernández, José Norberto Mazón López, Juan Carlos Trujillo Mondéjar
Web designers usually ignore how to model real user expectations and goals, mainly due to the large and heterogeneous audience of the Web. This fact leads to websites which are difficult to comprehend by visitors and complex to maintain by designers. In order to ameliorate this scenario, an approach for using the i* modeling framework in Web engineering has been developed in this paper. Furthermore, due to the fact that most of the existing Web engineering approaches do not consider how to derive conceptual models of the Web application from requirements analysis we also propose the use of MDA (Model Driven Architecture) in Web engineering for: (i) the definition of the requirements of a Web application in a Computational Independent Model (CIM), (ii) the description of Platform Independent Models (PIMs), and (iii) the definition of a set of QVT (Query/View/Transformation) transformations for the derivation of PIMs from requirements specification (CIM), thus to enable the automatic generation of Web applications. Finally, we include a sample of our approach in order to show its applicability and we describe a prototype tool as a proof of concept of our research.
Web设计人员通常忽略了如何建模真实用户的期望和目标,这主要是由于Web的庞大和异构的受众。这一事实导致网站很难被访问者理解,设计师维护起来也很复杂。为了改善这种情况,本文开发了一种在Web工程中使用i*建模框架的方法。此外,由于大多数现有的Web工程方法没有考虑如何从需求分析中派生Web应用程序的概念模型,我们还建议在Web工程中使用MDA(模型驱动体系结构):(i)在计算独立模型(Computational Independent Model, CIM)中定义Web应用程序的需求,(ii)描述平台独立模型(Platform Independent Models, PIMs),以及(iii)定义一组QVT(查询/视图/转换)转换,用于从需求规范(requirements specification, CIM)中派生PIMs,从而能够自动生成Web应用程序。最后,我们包含了我们的方法的一个样本,以显示其适用性,我们描述了一个原型工具作为我们研究概念的证明。
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引用次数: 28
Computable Separation in Topology, from T_0 to T_3 拓扑中的可计算分离,从T_0到T_3
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2009-01-01 DOI: 10.4230/OASICS.CCA.2009.2276
K. Weihrauch
This article continues the study of computable elementary topology started in (Weihrauch, Grubba 2009). We introduce a number of computable versions of the topological $T_0$ to $T_3$ separation axioms and solve their logical relation completely. In particular, it turns out that computable $T_1$ is equivalent to computable $T_2$. The strongest axiom $SCT_3$ is used in (Grubba, Schroeder, Weihrauch 2007) to construct a computable metric.
本文延续了(Weihrauch, Grubba 2009)开始的可计算初等拓扑的研究。我们引入了拓扑$T_0$到$T_3$分离公理的若干可计算版本,并完全解决了它们之间的逻辑关系。特别是,它证明了可计算的$T_1$等价于可计算的$T_2$。最强公理$SCT_3$在(Grubba, Schroeder, Weihrauch 2007)中被用来构造一个可计算的度量。
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引用次数: 17
LIFT – A Legacy InFormation Retrieval Tool LIFT -一个遗留信息检索工具
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2008-01-01 DOI: 10.6084/M9.FIGSHARE.96670.V1
K. Brito, V. Garcia, E. Almeida, S. Meira
Nowadays software systems are essential to the environment of most organizations, and their maintenance is a key point to support business dynamics. Thus, reverse engineering legacy systems for knowledge reuse has become a major concern in software industry. This article, based on a survey about reverse engineering tools, discusses a set of functional and non- functional requirements for an effective tool for reverse engineering, and observes that current tools only partly support these requirements. In addition, we define new requirements, based on our group's experience and industry feedback, and present the architecture and implementation of LIFT: a Legacy InFormation retrieval Tool, developed based on these demands. Furthermore, we discuss the compliance of LIFT with the defined requirements. Finally, we applied the LIFT in a reverse engineering project of a 210KLOC NATURAL/ADABAS system of a financial institution and analyzed its effectiveness and scalability, comparing data with previous similar projects performed by the same institution.
如今,软件系统对大多数组织的环境至关重要,它们的维护是支持业务动态的关键点。因此,知识重用的逆向工程遗留系统已成为软件行业关注的主要问题。本文在对逆向工程工具进行调查的基础上,讨论了一套有效的逆向工程工具的功能和非功能需求,并观察到当前的工具仅部分支持这些需求。此外,我们根据我们团队的经验和行业反馈定义新的需求,并呈现LIFT的体系结构和实现:基于这些需求开发的遗留信息检索工具。此外,我们还讨论了LIFT与已定义需求的遵从性。最后,我们将LIFT应用于一家金融机构的210KLOC NATURAL/ADABAS系统的逆向工程项目中,并与同一机构以前执行的类似项目进行了数据比较,分析了其有效性和可扩展性。
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引用次数: 6
Cost model for bitstream access services with QoS parameters 带QoS参数的比特流接入业务的成本模型
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 2008-01-01 DOI: 10.3217/JUCS-014-05-0653
Laura Rodríguez de Lope López, Klaus Dietrich Hackbarth Planeta
The European Regulator Group (ERG) defines Bitstream Access Service as a wholesale service offered by a broadband network operator with significant market power to an Internet Service Provider, and identifies it as a market subject to regulation. This paper develops a cost model for the Bitstream Access Service under xDSL technology, following the recommendations of the ERG, considering different user classes with differentiated QoS requirements. For this purpose, three traffic engineering methods are analysed: separate virtual tunnels, over-engineering and priority queuing techniques.
欧洲监管机构集团(ERG)将比特流接入服务定义为由具有重要市场力量的宽带网络运营商向互联网服务提供商提供的批发服务,并将其确定为受监管的市场。本文根据ERG的建议,考虑到不同的用户类别具有不同的QoS需求,建立了xDSL技术下的比特流接入服务的成本模型。为此,分析了三种交通工程方法:分离虚拟隧道、过度工程和优先排队技术。
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引用次数: 6
Calibrating Software Cost Models to Department of Defense DatabasesA Review of Ten Studies 在国防部数据库中校准软件成本模型——十项研究综述
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 1998-11-01 DOI: 10.1080/10157891.1998.10462570
D. Ferens, D. Christensen
Abstract There are many sophisticated parametric models for estimating the size, cost, and schedule of software projects. In general, the predictive accuracy of these models is no better than within 25 percent of actual cost or schedule, about one half of the time (Thibodeau, 1981; IIT Research Institute, 1988). Several authors assert that a model's predictive accuracy can be improved by calibrating (adjusting) its default parameters to a specific environment (Kemerer, 1987; Van Genuchten and Koolen, 1991; Andolfi et al. 1996). This paper reports the results of a long-term project that tests this assertion.
有许多复杂的参数模型用于估算软件项目的规模、成本和进度。一般来说,这些模型的预测精度不超过实际成本或进度的25%,约占时间的一半(Thibodeau, 1981;印度理工学院研究所,1988年)。一些作者断言,模型的预测精度可以通过校准(调整)其默认参数来提高特定环境(Kemerer, 1987;Van Genuchten and Koolen, 1991;Andolfi et al. 1996)。本文报告了对这一断言进行检验的一个长期项目的结果。
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引用次数: 38
What is a Random String 什么是随机字符串
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 1996-01-01 DOI: 10.1007/978-3-642-80350-5_5
Cristian S. Calude
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引用次数: 2
An Efficient Distributed Algorithm For st-numbering The Vertices Of A Biconnected Graph 双连通图顶点st-编号的一种高效分布式算法
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Pub Date : 1996-01-01 DOI: 10.1007/978-3-642-80350-5_53
Rohan F. M. Aranha, C. Rangan
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引用次数: 8
期刊
Journal of Universal Computer Science
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