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A performance analysis of IPSec/AH protocol for automotive environment 汽车环境下IPSec/AH协议的性能分析
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812434
J. Lastinec, L. Hudec
With increasing the connectivity of today's vehicles it is necessary to consider the security of such communication. This paper deals with the security requirements for in-vehicle network traffic and presents a performance analysis of IPSec/AH protocol in automotive environment. The tests were conducted on an exemplar topology using a self-developed gateway between Controller Area Network and Ethernet network based on ARM Cortex-A7 dual core processor. The main contribution of this work is evaluating the time characteristics of CAN communication "tunnelled" through Ethernet network and secured using IPSec.
随着当今车辆连接性的增加,有必要考虑这种通信的安全性。本文讨论了车载网络流量的安全需求,并对车载环境下的IPSec/AH协议进行了性能分析。采用自主开发的基于ARM Cortex-A7双核处理器的控制器局域网与以太网之间的网关,在典型拓扑结构上进行了测试。这项工作的主要贡献是评估通过以太网“隧道化”并使用IPSec保护的CAN通信的时间特性。
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引用次数: 3
Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm 用标准遗传算法优化搜索空间边界的预定时间常数逼近方法
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812466
Kumaran Rajarathianm, J. Gomm, K. Jones, Dingli Yu
In this paper, a new predetermined time constant approximation (Tsp) method for optimising the search space boundaries to improve SGAs convergence is proposed. This method is demonstrated on parameter identification of higher order models. Using the dynamic response period and desired settling time of the transfer function coefficients offered a better suggestion for initial Tsp values. Furthermore, an extension on boundaries derived from the initial Tsp values and the consecutive execution, brought the elite groups within feasible boundary regions for better exploration. This enhanced the process of locating of the optimal values of coefficients for the transfer function. The Tsp method is investigated on two processes; excess oxygen and a third order continuous model with and without random disturbance. The simulation results assured the Tsp method's effectiveness and flexibility in assisting SGAs to locate optimal transfer function coefficients.
本文提出了一种新的预定时间常数近似(Tsp)方法来优化搜索空间边界,以提高SGAs的收敛性。该方法在高阶模型的参数辨识中得到了验证。利用传递函数系数的动态响应周期和期望沉降时间对初始Tsp值提出了较好的建议。此外,在初始Tsp值的基础上对边界进行扩展并连续执行,使精英群体处于可行的边界区域内,以便更好地进行勘探。这提高了寻找传递函数最优系数值的过程。Tsp方法在两个过程中进行了研究;过量氧和有和无随机干扰的三阶连续模型。仿真结果证明了Tsp方法在帮助SGAs定位最优传递函数系数方面的有效性和灵活性。
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引用次数: 1
Segmentation and feature extraction in capillaroscopic videos 毛细管镜视频的分割与特征提取
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812472
Emiliano Spera, D. Tegolo, Cesare Valenti
This contribution describes a method to select regions of interest as capillaries of the oral mucosa and to extract their main features useful for real diagnosis purposes. A discrete version of the wavelet transform has been adopted for segmenting the images coming from video sequences acquired by a prototype capillaroscopic, able to put in evidence the red blood flow. A set of proper characteristics is automatically computed for a correct evaluation of the peripheral microcirculation.
这一贡献描述了一种方法来选择感兴趣的区域作为口腔粘膜的毛细血管,并提取其主要特征对真正的诊断目的有用。小波变换的离散版本已被用于分割图像来自视频序列的原型毛细管镜,能够证明红血流。一组适当的特征是自动计算的外围微循环的正确评价。
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引用次数: 3
Multi-touch interaction techniques to control 3D objects on a smartphone screen 多点触控交互技术,控制智能手机屏幕上的3D对象
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812462
F. Hlavacek, A. Kovárová
In this paper we describe two new multi-touch interaction techniques. Both of them cover the six degrees of freedom and focus on one-handed touch-based approach. The first one (2F/3F) uses two and three finger gestures, the second one (1F/2F) one and two finger simple gestures. We conducted a series of user study tests. The main result is that the intuitiveness and comfort of 1F/2F is 91 % (against 2F/3F with 76 %) which is better than previously published results of other authors with less than 83 % of relevancy and easiness.
本文介绍了两种新的多点触控交互技术。它们都涵盖了六个自由度,并专注于基于单手触摸的方法。第一个(2F/3F)使用两个和三个手指的手势,第二个(1F/2F)使用一个和两个手指的简单手势。我们进行了一系列的用户研究测试。主要结果是1F/2F的直观性和舒适性为91% (2F/3F为76%),优于其他作者之前发表的相关性和易用性低于83%的结果。
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引用次数: 0
Portable knitting format - XML-based language for knitting symbols description 便携式编织格式。用于编织符号描述的基于xml的语言
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812465
E. Zaharieva-Stoyanova, Stefan Bozov
This paper views the problems related to the development of knitting software for handmade knitting. It presents an XML-based language for knitting symbols description, called Portable Knitting Format (PKF). Its purpose is to develop a uniform and platform independent description of simple graphics primitives corresponding to different types of stitches. PKF contains the XML elements describing the following graphic primitives: line, polygon, polyline, arc, ellipse, rectangle and Bezier curve. Using these primitives the editor can describe all possible knitting symbols. The XML language can be built on CAD systems for handmade knitting.
本文对手工编织软件开发中存在的问题进行了探讨。它提出了一种基于xml的编织符号描述语言,称为便携式编织格式(PKF)。它的目的是开发一个统一的、独立于平台的简单图形基元描述,对应于不同类型的缝线。PKF包含描述以下图形原语的XML元素:直线、多边形、折线、弧、椭圆、矩形和贝塞尔曲线。使用这些原语,编辑器可以描述所有可能的编织符号。XML语言可以建立在手工编织的CAD系统上。
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引用次数: 4
Grouping instances in kNN for classification based on computer mouse features 基于鼠标特征的kNN分类实例分组
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812454
D. Chudá, Peter Krátky
Computer mouse usage features could be used to distinguish web page visitors. Particular data instances representing user's navigation actions are insufficient when used separately to perform classification with basic k-nearest neighbors (kNN) classifier. We propose a modification of kNN method in which instances of the same class form groups. Finding the nearest neighbors is based on measuring distance between histograms representing distributions of values for the corresponding groups. The paper provides a series of experiments on dataset from 100 web visitors. It describes comparison of several distance metrics as well as different levels of grouping. Combination of non-parametric tests statistics for measuring distance and suitable size of groups improves classification success rate significantly.
电脑鼠标的使用特点可以用来区分网页访问者。当单独使用基本k近邻(kNN)分类器执行分类时,表示用户导航操作的特定数据实例是不够的。我们提出了一种改进的kNN方法,其中相同类的实例组成组。找到最近的邻居是基于测量直方图之间的距离,直方图表示对应组的值的分布。本文对100个网络访问者的数据集进行了一系列实验。它描述了几种距离度量的比较以及不同级别的分组。测量距离的非参数检验统计量与合适的分组大小相结合,显著提高了分类成功率。
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引用次数: 5
Comparison of two methods for computing FPGA-based weighted average linear spatial filters 基于fpga的加权平均线性空间滤波器两种计算方法的比较
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812444
Ivan Kanev
This paper presents a comparison between two methods for normalizing the filtered pixel - division and multiplication by the reciprocal value of the normalization factor. The resources utilized for the FPGA-based implementation of the filters and the time taken to compute the normalized value of the pixel being filtered are compared.
本文比较了滤波后像素归一化的两种方法——用归一化因子的倒数进行分割和乘法。对基于fpga的滤波器实现所利用的资源和计算被滤波像素的归一化值所花费的时间进行了比较。
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引用次数: 1
E-Learning and MOOCs: a short investigation in the context of the FETCH European thematic network E-Learning和MOOCs:在FETCH欧洲专题网络背景下的简短调查
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812451
B. Çiço, M. Porta
In this paper we briefly present and discuss the results of an online survey regarding e-learning and Massive Open Online Courses (MOOCs). Part of a larger study which considered several aspects of teaching and learning in the fields of Computer Science, Computer Engineering, Software Engineering and Information Systems, the investigation was carried out in the context of the FETCH European Thematic Network. In particular, for both e-learning and MOOCs, we analyse the benefits and disadvantages perceived by people working in the academia (Professors), former students (Alumni) and employers (Industry Representatives). Although the analysis cannot be generalized due to the limited number of participants in the survey, we think that it can anyway provide some interesting insights to lay the ground for more complete studies on the subject.
在本文中,我们简要介绍并讨论了一项关于电子学习和大规模开放在线课程(MOOCs)的在线调查结果。作为一项更大的研究的一部分,该研究考虑了计算机科学、计算机工程、软件工程和信息系统领域的教与学的几个方面,这项调查是在FETCH欧洲专题网络的背景下进行的。特别是,对于在线学习和mooc,我们分析了在学术界工作的人(教授)、以前的学生(校友)和雇主(行业代表)认为的利弊。虽然由于调查参与者的数量有限,分析不能一概而论,但我们认为它无论如何都可以提供一些有趣的见解,为更全面的研究奠定基础。
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引用次数: 2
Association rule mining and visualization of introductory programming course activities 关联规则挖掘和可视化入门编程课程活动
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812438
M. Matetić, Marija Brkic Bakaric, Sabina Sisovic
In introductory programming courses instructors usually experiment by introducing new activities based on new technologies in order to promote learning and achievement. This paper presents a case study from the Department of Informatics at the University of Rijeka where a blended course Programming 2 offers new supportive activities to students. The work gives objective evaluation of these activities implementing data mining on Moodle log data using the Apriori method and interactive visualization.
在编程入门课程中,讲师通常通过引入基于新技术的新活动来进行实验,以促进学习和成就。本文介绍了来自Rijeka大学信息系的一个案例研究,其中一个混合课程Programming 2为学生提供了新的支持性活动。该工作使用Apriori方法和交互式可视化对Moodle日志数据进行数据挖掘,对这些活动进行了客观评估。
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引用次数: 6
Big data in electricity-visualization aspect 电力可视化方面的大数据
Pub Date : 2015-06-25 DOI: 10.1145/2812428.2812441
Ilir Keka, B. Çiço
Nowadays, the rapid development of technology has made it possible to store the data in memory with high capacity. There are various sources from where the data are collected or generated Moreover, the speed of updating and processing the data is very important to many organizations. Big Data is a concept the covers capacity, speed and different formats of data in many organizations. The aim of this paper is to analyze the Big Data in electricity using visualization aspect. Also, it gives an overview of features and sources of Big Data. The visualization on electricity data is made based on Revolution R Enterprise (RRE) tool. Writing scripts in RRE is found the relationship between electricity load and time. This relationship is illustrated using the line of best fit and the smoothing line. Also, some statistical parameters are computed and the relationship of data is evaluated using visualization.
如今,科技的飞速发展使得在内存中存储大容量数据成为可能。收集或生成数据的来源多种多样。此外,更新和处理数据的速度对许多组织来说非常重要。大数据是一个概念,涵盖了许多组织中数据的容量、速度和不同格式。本文旨在从可视化的角度对电力大数据进行分析。同时,概述了大数据的特点和来源。基于Revolution R Enterprise (RRE)工具对电力数据进行可视化处理。在RRE中编写脚本,发现了电力负荷与时间的关系。这种关系用最佳拟合线和平滑线来说明。此外,还计算了一些统计参数,并利用可视化技术评估了数据之间的关系。
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引用次数: 0
期刊
International Conference on Computer Systems and Technologies
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