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2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)最新文献

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Free-Form Parametric Fitting of Van der Waals Binodal and Spinodal Curves with Bat Algorithm 基于Bat算法的范德华双量曲线和旋量曲线自由形式参数拟合
Almudena Campuzano, A. Iglesias, A. Gálvez
This paper concerns the Van der Waals (VdW) equation of state, originally conceived to be a generalization of the ideal gas law. For practical use, it is often necessary to compute two characteristic curves of VdW, called binodal and spinodal curves. They are usually constructed through polynomial fitting from a collection of 2D points in the pressure-volume plane by using standard numerical procedures. However, the resulting models are still limited and can be further enhanced. In this paper, we carry out this task through least-squares approximation of sets of 2D points using free-form Bézier curves. This requires to perform data parameterization in addition to computing the poles of the curves. To this aim, we apply a powerful nature-inspired swarm intelligence method for continuous optimization called the bat algorithm. To test the performance of this new approach, it has been applied to real data of a gas. Our experimental results show that the method can reconstruct the characteristic curves with very good accuracy. In addition, the computing times are also very good, given the complexity of this problem. These remarkable features make this approach very promising in the field. Furthermore, it is actually ready to be applied to real-world instances of chemical components and mixtures.
本文讨论了范德华(VdW)状态方程,它最初被认为是理想气体定律的推广。在实际应用中,通常需要计算VdW的两条特征曲线,即双节曲线和旋节曲线。它们通常是通过使用标准数值程序从压力-体积平面上的二维点集合进行多项式拟合来构建的。然而,所得到的模型仍然是有限的,可以进一步增强。在本文中,我们通过使用自由形式的bsamzier曲线对2D点集进行最小二乘逼近来完成这项任务。这除了计算曲线的极点外,还需要执行数据参数化。为此,我们应用一种强大的自然启发的群体智能方法进行连续优化,称为蝙蝠算法。为了验证该方法的性能,将其应用于某气体的实际数据。实验结果表明,该方法可以很好地重建特征曲线。此外,考虑到这个问题的复杂性,计算时间也非常好。这些显著的特点使该方法在该领域非常有前途。此外,它实际上已经准备好应用于化学成分和混合物的现实世界实例。
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引用次数: 2
MotiVar: Motivating Weight Loss Through A Personalised Avatar 动机:通过个性化化身激励减肥
H. Ugail, Rokas Mackevicius, M. Hardy, A. Hill, M. Horne, T. Murrells, J. Holliday, R. Chinnadorai
This work aims to develop a personalised avatar based virtual environment for motivating weight loss and weight management. Obesity is a worldwide epidemic which has not only enormous resource impact for the healthcare systems but also has substantial health as well as a psychological effect among the individuals who are affected. We propose to tackle this issue via the development of a personalised avatar, the form of which can be adjusted to show the present and the future self of the individual. For the avatar design and development phase, we utilise a parametric based mathematical formulation derived from the solutions of a chosen elliptic partial differential equation. This method not only enables us to generate a parameterised avatar model, but it also allows us to quickly and efficiently create various avatar shapes corresponding to different body weights and even to different body postures.
这项工作旨在开发一个个性化的虚拟环境,以促进减肥和体重管理。肥胖是一种世界性的流行病,它不仅对医疗保健系统造成巨大的资源影响,而且对受影响的个人的健康和心理产生重大影响。我们建议通过开发个性化头像来解决这个问题,这种头像的形式可以调整,以显示个人现在和未来的自我。对于虚拟化身的设计和开发阶段,我们利用从所选椭圆偏微分方程的解中导出的基于参数的数学公式。这种方法不仅使我们能够生成参数化的化身模型,而且还可以快速有效地创建对应于不同体重甚至不同身体姿势的各种化身形状。
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引用次数: 0
Firefly Algorithm Approach For Rational Bézier Border Reconstruction of Skin Lesions from Macroscopic Medical Images 基于萤火虫算法的宏观医学图像皮肤病变理性bsamzier边界重建
A. Gálvez, A. Iglesias, H. Ugail, L. You, H. Haron, Z. Habib
Image segmentation is a fundamental step for image processing of medical images. One of the most important tasks in this step is border reconstruction, which consists of constructing a border curve separating the organ or tissue of interest from the image background. This problem can be formulated as an optimization problem, where the border curve is computed through data fitting procedures from a collection of data points assumed to lie on the boundary of the object under analysis. However, standard mathematical optimization techniques do not provide satisfactory solutions to this problem. Some recent papers have applied evolutionary computation techniques to tackle this issue. Such works are only focused on the polynomial case, ignoring the more powerful (but also more difficult) case of rational curves. In this paper, we address this problem with rational Bézier curves by applying the firefly algorithm, a popular bio-inspired swarm intelligence technique for optimization. Experimental results on medical images of melanomas show that this method performs well and can be successfully applied to this problem.
图像分割是医学图像处理的一个基本步骤。这一步中最重要的任务之一是边界重建,它包括构建一个边界曲线,将感兴趣的器官或组织从图像背景中分离出来。这个问题可以表述为一个优化问题,其中边界曲线是通过数据拟合程序从假设位于被分析对象边界上的数据点集合中计算出来的。然而,标准的数学优化技术并不能为这个问题提供令人满意的解决方案。最近的一些论文应用了进化计算技术来解决这个问题。这些工作只关注多项式的情况,忽略了更强大(但也更困难)的有理曲线的情况。在本文中,我们通过应用萤火虫算法(一种流行的生物启发的群体智能优化技术)来解决这个问题。在医学黑色素瘤图像上的实验结果表明,该方法具有良好的性能,可以成功地应用于该问题。
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引用次数: 1
An Efficient Cryptosystem based on the Logistic-Chebyshev Map 基于Logistic-Chebyshev映射的高效密码系统
Bassem Abd-El-Atty, M. Amin, A. El-latif, H. Ugail, I. Mehmood
We utilise the Logistic-Chebyshev map as a cascade discrete-time chaotic system to design a new form of a cryptosystem. Based on the Logistic-Chebyshev map, we present a novel method for constructing substitution boxes or S-boxes. The performance of the proposed S-box scheme is investigated. Our results shows that the constructed S-box has significant qualities for viable applications in security related domains. Additionally, we utilise a new pseudo-random number generator (PRNG) scheme for the purpose of generating keystreams for further encryption. We utilise this technique to demonstrate how a PRNG based chaotic system can be utilsied for image encryption. Our simulation results and analysis show that the proposed scheme has efficient performance for cryptographic based image processing applications.
我们利用逻辑-切比雪夫映射作为级联离散混沌系统来设计一种新的密码系统形式。基于Logistic-Chebyshev映射,提出了一种构造替换盒或s盒的新方法。研究了所提出的s盒方案的性能。我们的研究结果表明,构建的S-box在安全相关领域具有显著的可行性。此外,我们利用一个新的伪随机数生成器(PRNG)方案来生成用于进一步加密的密钥流。我们利用这种技术来演示如何将基于PRNG的混沌系统用于图像加密。仿真结果和分析表明,该方案在基于密码学的图像处理应用中具有良好的性能。
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引用次数: 10
On the Curve of Minimal Length between Two Points On a Bézier Surface bsamzier曲面上两点间最小长度曲线的研究
A. Carriazo, M. C. Márquez, H. Ugail
In this paper, we present a method to obtain the distance between two fixed points of a Bézier surface by minimizing the length of curves on the surface linking the two points. We use a discretization of the classical orthogonal variations method for a regular planar curve. We provide interesting examples of Bézier surfaces which approximate the cylinder, the sphere and the hyperbolic paraboloid.
在本文中,我们提出了一种通过最小化连接两点的曲面上的曲线长度来获得bsamzier曲面上两点之间距离的方法。本文采用经典正交变分法对规则平面曲线进行离散化处理。我们提供了类似圆柱、球面和双曲抛物面的bsamzier曲面的有趣例子。
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引用次数: 0
A Burst and Congestion-Aware Routing Metric for RPL Protocol in IoT Network 物联网网络中RPL协议的突发和拥塞感知路由度量
Hussien Saleh Altwassi, Zeeshan Pervez, K. Dahal
The packet loss and power consumption are the main issues considered once congestion occurs in any network, such as the Internet of Things (IoT) with a huge number of sensors and applications. Since IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is not initially designed for high stream traffic load, this restricts the application domain of RPL in several IoT scenarios such as burst traffic scenarios. The performance of RPL suffers in a network with burst traffic load, which leads to reducing the lifetime of the network and causing traffic congestion among the neighbour nodes. Therefore, to address this issue, we proposed a Burst and Congestion-Aware Metric for RPL called BCA-RPL, which calculates the rank, considering the number of packets. Also, the proposed mechanism includes congestion avoiding and load balancing techniques by switching the best parent selection to avoid the congested area. Our scheme is built and compared to the original RPL routing protocol for low power and lossy network with OF0 (OF0-RPL). Simulation results based on Cooja simulator shows BCA-RPL performs better than the original RPL-OF0 routing protocol in terms of packet loss, power consumption and packet delivery ratio (PDR) under burst traffic load. The BCA-RPL significantly improves the network where it decreases the packet loss around 50% and power consumption to an acceptable level with an improvement on the PDR of the IoT network.
在任何网络中,如具有大量传感器和应用的物联网(IoT),一旦发生拥塞,丢包和功耗都是要考虑的主要问题。由于IPv6低功耗和有损网络路由协议(IPv6 Routing Protocol for Low Power and Lossy Networks, RPL)最初不是为高流量负载设计的,这限制了RPL在突发流量等几种物联网场景中的应用范围。在突发流量负载的网络中,RPL的性能会受到影响,导致网络的生存时间缩短,并导致邻居节点之间的流量拥塞。因此,为了解决这个问题,我们提出了一个RPL的突发和拥塞感知度量,称为BCA-RPL,它根据数据包的数量计算排名。此外,所提出的机制包括拥塞避免和负载平衡技术,通过切换最佳父选择来避免拥塞区域。提出了一种基于OF0的低功耗、低损耗网络RPL路由协议(OF0-RPL),并与之进行了比较。基于Cooja模拟器的仿真结果表明,在突发流量负载下,BCA-RPL在丢包、功耗和包分发率(PDR)方面都优于原始的RPL-OF0路由协议。BCA-RPL显著改善了网络,通过改善物联网网络的PDR,它将丢包率降低了50%左右,功耗降低到可接受的水平。
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引用次数: 2
An interactive approach to teach automation in the training of the industry 4.0 在工业4.0的培训中,以互动的方式教授自动化
T. Tran, H. Yahoui, N. Siauve
In this paper, we propose a new method to teach automation in the training of industry 4.0. This method uses an interactive approach to help students rapidly familiarize with PLC programming. Computers are transformed into PLC training kits using Factory I/O – a 3D factory simulator and CodeSys – a development system. A series of training activities have been organized to encourage life-long learning among the students. Besides, a survey has been conducted with 20 students in first-year master Energy at Energy Master, Claude Bernard University Lyon 1, Lyon, France. The results indicate that students are satisfied with this approach.
在本文中,我们提出了一种在工业4.0培训中教授自动化的新方法。该方法采用交互式的方式帮助学生快速熟悉PLC编程。使用Factory I/O (3D工厂模拟器)和CodeSys(开发系统)将计算机转换为PLC培训包。学校组织了一系列培训活动,鼓励学生终身学习。此外,本文还对法国里昂第一克劳德伯纳德大学能源硕士一年级的20名学生进行了调查。结果表明,学生对这种方法感到满意。
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引用次数: 6
Trust and the Digital Transformation 信任与数字化转型
A. Gábor
Digitalization, digital transformation radically change society, social life. Trust is a controversial phenomenon in the context of digitalization, since, on one hand contributes to the declination of trust, on the other hand offers numerous opportunities to recovery or re-build trust. The paper introduces the trust declination of trust in the life of a local community, outlines the problems of grabbing the trust level and operationalization of trust measurement through a case study. In the final part a deployed semantic technology-based trust recovery action is demonstrated.
数字化,数字化转型从根本上改变了社会,社会生活。在数字化背景下,信任是一个有争议的现象,因为一方面有助于信任的下降,另一方面提供了许多恢复或重建信任的机会。本文介绍了地方社区生活中的信任衰退,并通过案例分析概述了信任水平的把握和信任测量的可操作性问题。最后,介绍了一种基于语义技术的可部署信任恢复动作。
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引用次数: 1
Smart Security System Using Face Recognition on Raspberry Pi 树莓派上使用人脸识别的智能安全系统
Fahim Faisal, S. A. Hossain
Privacy and Security are two of the most important universal rights. To ensure security in our daily life through technology, a lot of research is going on. Among them facial recognition is a popular and well-established technology. In this technology, faces are detected and identified out of images and with the help of Internet of Things (IoT), it becomes even more useful and precise. Using face recognition and IoT, we aim to create a smart door, which secures the gateway on the basis of who we are. In our proof of the concept of such a smart security system, we have used Viola-Jones method to detect faces and Eigenfaces method to recognize people. A Raspberry Pi has been used as the microprocessor for ensuring low-cost and small size of the system. The door will open automatically for the known person upon receiving command from the processor. On the other hand, photo of the unknown will be uploaded to a webserver while an email is sent to the owner of the place containing a link to the image. From the website of the system, the owner can then allow/block entry and also trigger an alarm from anywhere in the world.
隐私和安全是两项最重要的普遍权利。为了通过技术确保我们日常生活中的安全,人们正在进行大量的研究。其中,面部识别是一项流行且成熟的技术。在这项技术中,人脸从图像中被检测和识别出来,在物联网(IoT)的帮助下,它变得更加有用和精确。利用人脸识别和物联网,我们的目标是创造一扇智能门,它可以根据我们的身份来保护门户。在我们对这种智能安全系统概念的证明中,我们使用了Viola-Jones方法来检测人脸,使用了Eigenfaces方法来识别人。树莓派被用作微处理器,以确保系统的低成本和小尺寸。在接收到处理器的命令后,门将自动为已知的人打开。另一方面,未知的照片将被上传到网络服务器上,同时向该地方的所有者发送一封包含该图像链接的电子邮件。从系统的网站上,主人可以允许/阻止进入,也可以从世界上任何地方触发警报。
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引用次数: 9
Smart Farming in Thailand 泰国的智慧农业
Supalin Tiammee, Jirapohn Wongyai, Piyachat Udomwong, Aniwat Phaphuangwittayakul, Lampang Saenchan, Somsak Chanaim
Thailand’s economic growth depends on agriculture. Roughly 30 to 40 percents of the total employment in Thailand is in the agricultural sector, but this group of people do not earn enough to spend on a daily basis. In this study, we proposed two production functions for Thai agriculture: with and without entrepreneurships. Entrepreneurship in agriculture is defined based on Schumpeter framework. In the first model, the Cobb- Douglas production function is applied to agricultural production without entrepreneurship and the stochastic frontier analysis is applied as an estimation technique to estimate the parameters. In the second model, the entrepreneurship variable is part of land, capital and labor inputs. Maximum likelihood estimation is used to find the estimated parameters. The results show that the returns to scale obtained from the developed production function with entrepreneurship are greater than those obtained from the production function without entrepreneurship.
泰国的经济增长依赖于农业。泰国大约30%到40%的就业人口在农业部门,但这群人的收入不足以维持日常支出。在本研究中,我们提出了泰国农业的两种生产函数:有企业家精神和没有企业家精神。农业企业家精神的定义是基于熊彼特框架的。在第一个模型中,将Cobb- Douglas生产函数应用于没有企业家精神的农业生产,并将随机前沿分析作为估计技术来估计参数。在第二个模型中,企业家精神变量是土地、资本和劳动力投入的一部分。使用最大似然估计来找到估计的参数。结果表明,有企业家精神的发达生产函数的规模收益大于没有企业家精神的发达生产函数的规模收益。
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引用次数: 1
期刊
2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)
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