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2017 International Conference on Cyberworlds (CW)最新文献

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Imitation of Handwriting for Art and Heritage in Cyberspace 网络空间笔迹的艺术模仿与传承
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.57
S. Klimenko, L. Mestetskiy, A. Semenov
Individual handwriting is an important feature of a person, reflecting his personality, cultural and intellectual level. The possibility of using in the cyberspace a unique manner of writing the text, which is inherent in every person, promotes the strengthening of the personal principle, emphasizes the uniqueness of the individual. The article deals with the problem of constructing individual digital fonts based on handwriting samples. To describe the font, a "trajectory format" is used, in which characters of the font are represented by fat curves. A fat curve is a family of circles centered on a smooth curve. To build a font for a given pattern, we solve the problem of fitting the fat curves to the bitmap image of handwritten text. The article proposes the solution of this problem, based on the continuous medial representation of the object shape in binary images.
个人笔迹是一个人的重要特征,反映了一个人的个性、文化和智力水平。在网络空间中使用独特的文字书写方式的可能性,是每个人固有的,促进了个人原则的加强,强调了个人的独特性。本文讨论了基于手写样本构建单个数字字体的问题。为了描述字体,使用了“轨迹格式”,其中字体的字符用粗曲线表示。胖曲线是以光滑曲线为中心的一组圆。为了构建给定模式的字体,我们解决了将胖曲线拟合到手写文本的位图图像的问题。本文提出了一种基于二值图像中物体形状的连续中间表示的方法来解决这个问题。
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引用次数: 1
Using Virtual Reality to Experience Different Powered Wheelchair Configurations 使用虚拟现实体验不同的动力轮椅配置
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.33
Thomas W. Day, William H. Dobson, C. Headleand, N. John, S. Pop
This paper presents recent additions to our Wheelchair-VR application, in particular the use of different drive configurations. We have previously shown that Wheelchair-VR can be used to improve driving skills. Here we consider the utility of the application in allowing users who are in the process of purchasing or upgrading a wheelchair to experience different configurations and options in a cost-effective virtual environment. A preliminary study is presented, which suggests that this approach can be effective.
本文介绍了我们的轮椅vr应用程序的最新添加,特别是不同驱动配置的使用。我们之前已经证明,轮椅vr可以用来提高驾驶技能。在这里,我们考虑应用程序的实用性,它允许正在购买或升级轮椅的用户在具有成本效益的虚拟环境中体验不同的配置和选项。初步研究表明,这种方法是有效的。
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引用次数: 4
Anisotropic Surface Reconstruction for Multiphase Fluids 多相流体的各向异性表面重构
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.30
Xiaokun Wang, X. Ban, Yalan Zhang, Zhigeng Pan, Sinuo Liu
Under particle-based framework, level set is generally defined for fluid surfaces and is integrated with marching cubes algorithm to extract fluid surfaces. In these methods, anisotropic kernels method has proven successful for reconstructing fluid surfaces with high quality. It can perfectly represent smooth surfaces, thin stream and sharp features of fluids compare to other methods. In this paper, we propose a novel approach to extend it to the simulation of multiphase fluids simulation. In order to ensure fine effects for both fluid surface and multiphase interface, we modify the calculation of original anisotropic kernels and address a binary tree strategy for reconstruction. Our method can extract fluid surfaces simply and effectively for particle-based multiphase simulation. It solved the problem of overlaps and gaps at multiphase interface that exist in traditional methods. The experimental results demonstrate that our method keep a good fluid surface and interface effects.
在基于粒子的框架下,一般定义了流体表面的水平集,并将其与行进立方算法相结合进行流体表面的提取。在这些方法中,各向异性核法被证明是高质量重建流体表面的成功方法。与其他方法相比,它可以完美地表现流体的光滑表面、细流和尖锐特征。在本文中,我们提出了一种新的方法将其扩展到多相流体的模拟中。为了保证流体表面和多相界面的良好效果,我们修改了原始各向异性核的计算,并采用二叉树策略进行重建。该方法可以简单有效地提取流体表面,用于基于颗粒的多相模拟。它解决了传统方法中存在的多相界面重叠和间隙问题。实验结果表明,该方法保持了良好的流体表面和界面效果。
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引用次数: 5
Scattered Data Points Fitting Using Ball B-Spline Curves Based on Particle Swarm Optimization 基于粒子群优化的球 B-样条曲线拟合分散数据点
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.13
Xingce Wang, Zhongke Wu, Junchen Shen, Qianqian Jiang, Yuanshuai Zhu, Mingquan Zhou
Scattered data fitting is always a challenging problem in the fields of geometric modeling and computer aided design. As the skeleton based three-dimensional solid model representation, the Ball B-Spline Curve is suitable to fit the tubular scattered data points. We study the problem of fitting the scattered data points with Ball B-spline curves (BBSCs) and propose the corresponding fitting algorithm based on the Particle Swarm Optimization (PSO) algorithm. In this process, we face three critical and difficult sub problems: (1) parameterization of the data points, (2) determination of the knot vector and (3) calculation of the control radii. All of them are multidimensional and nonlinear, especially the calculation of the parametric values. The parallelism of the PSO algorithm provides a high optimization, which is more suitable for solving nonlinear, nondifferentiable and multi-modal optimization problems. So we use it to solve the scattered data fitting problem. The PSO is applied in three steps to solve them. Firstly, we determine the parametric values of the data points with PSO. Then we compute the knot vector based on the parametric values of the data points. At last, we get the radius function. The experiments on the shell surface, the crescent surface and the real-world models verify the accuracy and flexibility of the method. The research can be widely used in the computer aided design, animation and model analysis.
散点数据拟合一直是几何建模和计算机辅助设计领域的难题。作为基于骨架的三维实体模型表示方法,球 B 样条曲线(Ball B-Spline Curve)适用于拟合管状散点数据。我们研究了用球 B 样条曲线(BBSC)拟合散乱数据点的问题,并基于粒子群优化(PSO)算法提出了相应的拟合算法。在这一过程中,我们面临三个关键和困难的子问题:(1) 数据点的参数化;(2) 节向量的确定;(3) 控制半径的计算。所有这些问题都是多维和非线性的,尤其是参数值的计算。PSO 算法的并行性提供了高优化性,更适合解决非线性、无差异和多模式优化问题。因此,我们用它来解决分散数据拟合问题。PSO 分三步进行求解。首先,我们用 PSO 确定数据点的参数值。然后,根据数据点的参数值计算节点向量。最后,得到半径函数。在贝壳表面、月牙表面和实际模型上的实验验证了该方法的准确性和灵活性。这项研究可广泛应用于计算机辅助设计、动画制作和模型分析。
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引用次数: 3
Mitigating Cyber Security Attacks by Being Aware of Vulnerabilities and Bugs 通过意识到漏洞和错误来减轻网络安全攻击
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.22
Ömer Aslan, R. Samet
Because the Internet makes human lives easier, many devices are connected to the Internet daily. The private data of individuals and large companies, including health-related data, user bank accounts, and military and manufacturing data, are increasingly accessible via the Internet. Because almost all data is now accessible through the Internet, protecting these valuable assets has become a major concern. The goal of cyber security is to protect such assets from unauthorized use. Attackers use automated tools and manual techniques to penetrate systems by exploiting existing vulnerabilities and software bugs. To provide good enough security; attack methodologies, vulnerability concepts and defence strategies should be thoroughly investigated. The main purpose of this study is to show that the patches released for existing vulnerabilities at the operating system (OS) level and in software programs does not completely prevent cyber-attack. Instead, producing specific patches for each company and fixing software bugs by being aware of the software running on each specific system can provide a better result. This study also demonstrates that firewalls, antivirus software, Windows Defender and other prevention techniques are not sufficient to prevent attacks. Instead, this study examines different aspects of penetration testing to determine vulnerable applications and hosts using the Nmap and Metasploit frameworks. For a test case, a virtualized system is used that includes different versions of Windows and Linux OS.
由于互联网使人们的生活更加便利,每天都有许多设备连接到互联网。个人和大公司的私人数据,包括健康相关数据、用户银行账户以及军事和制造业数据,越来越多地可以通过互联网访问。由于现在几乎所有的数据都可以通过互联网访问,因此保护这些有价值的资产已成为一个主要问题。网络安全的目标是保护这些资产免遭未经授权的使用。攻击者使用自动化工具和手动技术,利用现有的漏洞和软件缺陷来渗透系统。提供足够好的安全保障;应彻底调查攻击方法、脆弱性概念和防御策略。本研究的主要目的是表明,针对操作系统(OS)级别和软件程序中存在的漏洞发布的补丁并不能完全防止网络攻击。相反,为每个公司制作特定的补丁,并通过了解每个特定系统上运行的软件来修复软件错误,可以提供更好的结果。研究还表明,防火墙、杀毒软件、Windows Defender等防范技术不足以防范攻击。相反,本研究使用Nmap和Metasploit框架检查渗透测试的不同方面,以确定易受攻击的应用程序和主机。对于一个测试用例,使用一个虚拟化的系统,其中包括不同版本的Windows和Linux操作系统。
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引用次数: 9
A Non-invasive 2D Digital Imaging Method for Detection of Surface Lesions Using Machine Learning 一种利用机器学习检测表面病变的无创二维数字成像方法
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.39
Nosheen Hussain, P. Cooper, S. Shnyder, H. Ugail, A. M. Bukar, David Connah
As part of the cancer drug development process, evaluation in experimental subcutaneous tumour transplantation models is a key process. This involves implanting tumour material underneath the mouse skin and measuring tumour growth using calipers. This methodology has been proven to have poor reproducibility and accuracy due to observer variation. Furthermore the physical pressure placed on the tumour using calipers is not only distressing for the mouse but could also lead to tumour damage. Non-invasive digital imaging of the tumour would reduce handling stresses and allow volume determination without any potential tumour damage. This is challenging as the tumours sit under the skin and have the same colour pattern as the mouse body making them hard to differentiate in a 2D image. We used the pre-trained convolutional neural network VGG-16 and extracted multiple layers in an attempt to accurately locate the tumour. When using the layer FC7 after RELU activation for extraction, a recognition rate of 89.85% was achieved.
作为抗癌药物开发过程的一部分,实验皮下肿瘤移植模型的评估是一个关键过程。这包括在小鼠皮肤下植入肿瘤材料,并用卡尺测量肿瘤的生长情况。由于观察者的变化,这种方法已被证明具有较差的再现性和准确性。此外,使用卡钳对肿瘤施加的物理压力不仅会使小鼠感到痛苦,还可能导致肿瘤损伤。肿瘤的非侵入性数字成像将减少处理压力,并允许在没有任何潜在肿瘤损伤的情况下确定体积。这是具有挑战性的,因为肿瘤位于皮肤下,并且与小鼠身体具有相同的颜色模式,因此很难在二维图像中区分它们。我们使用预训练的卷积神经网络VGG-16,并提取多个层,试图准确定位肿瘤。采用RELU活化后的FC7层进行提取,识别率达到89.85%。
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引用次数: 3
A Collaborative Augmented Reality Framework Based on Distributed Visual Slam 基于分布式视觉Slam的协同增强现实框架
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.47
R. Gamage, M. Tuceryan
Visual Simultaneous Localization and Mapping (SLAM) has been used for markerless tracking in augmented reality applications. Distributed SLAM helps multiple agents to collaboratively explore and build a global map of the environment while estimating their locations in it. One of the main challenges in Distributed SLAM is to identify local map overlaps of these agents, especially when their initial relative positions are not known. We developed a collaborative AR framework with freely moving agents having no knowledge of their initial relative positions. Each agent in our framework uses a camera as the only input device for its SLAM process. Furthermore, the framework identifies map overlaps of agents using an appearance-based method.
视觉同步定位和映射(SLAM)技术已被用于增强现实应用中的无标记跟踪。分布式SLAM帮助多个代理协作探索和构建环境的全局地图,同时估计它们在其中的位置。分布式SLAM的主要挑战之一是识别这些代理的局部地图重叠,特别是当它们的初始相对位置未知时。我们开发了一个协作式AR框架,其中自由移动的代理不知道它们的初始相对位置。我们框架中的每个代理都使用相机作为其SLAM过程的唯一输入设备。此外,该框架使用基于外观的方法识别代理的地图重叠。
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引用次数: 7
Neurofeedback Training for Rifle Shooters to Improve Cognitive Ability 神经反馈训练对步枪射击运动员认知能力的提高
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.36
Yisi Liu, Salem Chandrasekaran Harihara Subramaniam, O. Sourina, Eesha Shah, Joshua Chua, Kirill Ivanov
Neurofeedback training is one type of the biofeedback training that allows the subject do self-regulation during the training according to his/her real-time brain activities recognized from Electroencephalogram (EEG) and given to him/her through visual, audio or haptic feedback. The Neurofeedback training has been proved to be helpful in improvement of cognitive abilities not only for patients with mental illnesses but also for healthy subjects including athletes. In this paper, we proposed an experiment in which we recruited elite shooters and conducted a novel individual beta-1/theta based neurofeedback training to confirm the usage of neurofeedback training in boosting the performance of rifle shooters. The efficiency of the neurofeedback training was examined by comparing the shooting scores and results of DAUF test assessing the ability of sustained attention of the shooters before and after neurofeedback training.
神经反馈训练是生物反馈训练的一种,它允许被试在训练过程中根据脑电图(EEG)实时识别的大脑活动,通过视觉、听觉或触觉反馈给予被试进行自我调节。神经反馈训练已被证明不仅对精神疾病患者,而且对包括运动员在内的健康受试者的认知能力的提高都有帮助。在本文中,我们提出了一项实验,我们招募了优秀的射击运动员,并进行了一种新颖的基于个体β -1/theta的神经反馈训练,以证实神经反馈训练在提高步枪射击运动员表现中的作用。通过比较射击成绩和神经反馈训练前后射击运动员持续注意能力的DAUF测试结果,检验神经反馈训练的有效性。
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引用次数: 4
Face Recognition-Based Mobile Automatic Classroom Attendance Management System 基于人脸识别的移动教室自动考勤管理系统
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.34
R. Samet, Muhammed Tanriverdi
Classroom attendance check is a contributing factor to student participation and the final success in the courses. Taking attendance by calling out names or passing around an attendance sheet are both time-consuming, and especially the latter is open to easy fraud. As an alternative, RFID, wireless, fingerprint, and iris and face recognition-based methods have been tested and developed for this purpose. Although these methods have some pros, high system installation costs are the main disadvantage. The present paper aims to propose a face recognition-based mobile automatic classroom attendance management system needing no extra equipment. To this end, a filtering system based on Euclidean distances calculated by three face recognition techniques, namely Eigenfaces, Fisherfaces and Local Binary Pattern, has been developed for face recognition. The proposed system includes three different mobile applications for teachers, students, and parents to be installed on their smart phones to manage and perform the real-time attendance-taking process. The proposed system was tested among students at Ankara University, and the results obtained were very satisfactory.
课堂出勤检查是学生参与和课程最终成功的一个重要因素。点名或分发考勤表都很耗时,尤其是后者很容易被欺骗。作为一种替代方案,基于RFID、无线、指纹、虹膜和人脸识别的方法已经为此目的进行了测试和开发。虽然这些方法有一些优点,但系统安装成本高是主要缺点。本文旨在提出一种基于人脸识别的移动教室自动考勤管理系统,无需额外的设备。为此,开发了一种基于欧几里得距离的人脸识别滤波系统,该滤波系统采用特征脸、渔场脸和局部二值模式三种人脸识别技术进行人脸识别。该系统包括三种不同的移动应用程序,供教师、学生和家长安装在他们的智能手机上,以管理和执行实时考勤过程。该系统在安卡拉大学的学生中进行了测试,取得了令人满意的结果。
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引用次数: 50
Modeling Deformable Objects for Medical Training with Haptic Devices 用触觉装置为医学训练建模可变形物体
Pub Date : 2017-09-01 DOI: 10.1109/CW.2017.43
Celia Romo, Francisco A. Conde, N. John, J. Torres
Medical training systems often require the use of haptic interaction with deformable models and high visual fidelity. It is necessary to get a compromise between the geometric model and the deformation model in order to achieve the required frame rate for haptic interaction of 1000Hz. Frequently low level geometric models are used to describe the geometry of the object. This produces large data structures for which it is difficult to reach real-time force feedback.This paper proposes to use a novel model based on Bezier hyperpatches to represent the object, computing the deformation using a mass-spring system. This model can represent free form objects in a concise way. A small test application to simulate palpation with a haptic probe is presented.
医疗培训系统通常需要使用可变形模型和高视觉保真度的触觉交互。为了达到1000Hz的触觉交互所需的帧率,有必要在几何模型和变形模型之间取得妥协。通常使用低级几何模型来描述对象的几何形状。这就产生了难以实现实时力反馈的大型数据结构。本文提出了一种基于Bezier超补丁的新模型来表示物体,利用质量-弹簧系统计算物体的变形。该模型能够以简洁的方式表示自由形式的对象。提出了一个小的测试应用程序来模拟触诊与触觉探针。
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引用次数: 0
期刊
2017 International Conference on Cyberworlds (CW)
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