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A Cyber-Physical Systems Paper Survey About the Concept, Architecture and Challenges for the Deployment within the Concept of Industry 4.0 一篇关于工业4.0概念部署的概念、架构和挑战的网络物理系统论文
M. Melicher, D. Šišmišová, J. Vachálek, C. Belavý
Abstract The arrival of Cyber-physical systems provided space for a new emerging field of research oriented on this type of embedded systems. The aim of this paper is to provide a better understanding of this integrative research field focused on the concept, architecture and challenges in deployment of such systems within the concept of Industry 4.0. Cyber-physical systems represent an emerging area of research that attracts the interest of researchers around the world, because, in the field of design and development of future systems, they are expected to play a major role.
信息物理系统的出现为这类嵌入式系统的研究提供了一个新的领域。本文的目的是为了更好地理解这一综合研究领域,重点关注工业4.0概念下部署此类系统的概念、架构和挑战。信息物理系统代表了一个新兴的研究领域,吸引了全世界研究人员的兴趣,因为在未来系统的设计和开发领域,它们有望发挥重要作用。
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引用次数: 3
Design of the Machine Parts Subjected to Elastic-Plastic Contact Conditions 弹塑性接触条件下机械零件的设计
M. Kráčalík
Abstract The paper deals with a methodology of designing the machine parts subjected to elastic-plastic contact conditions. Elastic-plastic contact conditions are simulated by finite element (FE) simulation. As the result, the estimation of contact loading stresses in practice can be made using contact geometry, material datasheet or tensile test.
摘要本文研究了一种弹塑性接触条件下机械零件的设计方法。采用有限元法模拟弹塑性接触条件。因此,在实际中可以使用接触几何、材料数据表或拉伸试验来估计接触加载应力。
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引用次数: 0
Product Classification Using Neural Network at Industry Robotic Line 神经网络在工业机器人生产线上的产品分类
I. Halenár, Gabriela Križanová
Abstract The article describes a possible way of implementing a neural network in recognizing the shape and position of the products in the production process. The neural network is designed as a multilayer perceptron (MLP), and the whole system is implemented in a form of attachment to robotic arm, where the primary task of neural network is to distinguish a position of product. The neural network is trained like a classifier and outputs are used to control the robot. The advantage of the solution is a high degree of reliability of product positioning under different lighting conditions.
摘要本文描述了在生产过程中实现神经网络识别产品形状和位置的一种可能方法。神经网络被设计成多层感知器(MLP),整个系统以附着在机械臂上的形式实现,其中神经网络的主要任务是识别产品的位置。神经网络像分类器一样被训练,输出用于控制机器人。该解决方案的优点是在不同照明条件下产品定位的高度可靠性。
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引用次数: 0
Convolutional Networks Used to Classify Video and Audio Data 用于视频和音频数据分类的卷积网络
Marcel Nikmon, Roman Budjac, Daniel Kuchár, Peter Schreiber, D. Janácová
Abstract Deep learning is a kind of machine learning, and machine learning is a kind of artificial intelligence. Machine learning depicts groups of various technologies, and deep learning is one of them. The use of deep learning is an integral part of the current data classification practice in today’s world. This paper introduces the possibilities of classification using convolutional networks. Experiments focused on audio and video data show different approaches to data classification. Most experiments use the well-known pre-trained AlexNet network with various pre-processing types of input data. However, there are also comparisons of other neural network architectures, and we also show the results of training on small and larger datasets. The paper comprises description of eight different kinds of experiments. Several training sessions were conducted in each experiment with different aspects that were monitored. The focus was put on the effect of batch size on the accuracy of deep learning, including many other parameters that affect deep learning [1].
深度学习是机器学习的一种,机器学习是人工智能的一种。机器学习描述了各种技术的组合,深度学习就是其中之一。深度学习的使用是当今世界当前数据分类实践的一个组成部分。本文介绍了使用卷积网络进行分类的可能性。针对音频和视频数据的实验显示了不同的数据分类方法。大多数实验使用众所周知的预训练AlexNet网络和各种预处理类型的输入数据。然而,也有其他神经网络架构的比较,我们也展示了小数据集和大数据集的训练结果。本文包括八种不同实验的描述。在每个实验中都进行了几次培训,对不同方面进行了监测。重点放在批大小对深度学习准确性的影响上,包括影响深度学习的许多其他参数[1]。
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引用次数: 6
Automated Machine Learning Overview 自动化机器学习概述
Roman Budjac, Marcel Nikmon, Peter Schreiber, B. Zahradnikova, Dagmar Janáčová
Abstract This paper aims at deeper exploration of the new field named auto-machine learning, as it shows promising results in specific machine learning tasks e.g. image classification. The following article is about to summarize the most successful approaches now available in the A.I. community. The automated machine learning method is very briefly described here, but the concept of automated task solving seems to be very promising, since it can significantly reduce expertise level of a person developing the machine learning model. We used Auto-Keras to find the best architecture on several datasets, and demonstrated several automated machine learning features, as well as discussed the issue deeper.
本文旨在深入探索自动机器学习这一新领域,因为它在特定的机器学习任务(如图像分类)中显示出有希望的结果。下面的文章将总结目前人工智能社区中最成功的方法。这里非常简单地描述了自动机器学习方法,但自动任务解决的概念似乎非常有前途,因为它可以显着降低开发机器学习模型的人的专业水平。我们使用Auto-Keras在几个数据集上找到了最佳架构,并演示了几个自动机器学习功能,并对这个问题进行了更深入的讨论。
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引用次数: 1
Digital Implementation of Butterworth First–Order Filter Type IIR 巴特沃斯一阶滤波器IIR的数字实现
Dušan Horváth, Z. Červeňanská, J. Kotianová
Abstract The paper deals with the solution of the first–order passive filters (low–pass and high–pass) applying electrotechnical elements (resistor, capacitor - analogue filter) and digital Butterworth filter type IIR (Infinite Impulse Response). Procedure of the filters design and implementation is described, and the analogue and digital filter outputs with the same input signal are compared. The designed filters have already served for education purposes with the intention to bring an explanation of techniques for designing required functionality of the signal processing filters.
摘要本文讨论了应用电工元件(电阻器、电容-模拟滤波器)和数字巴特沃斯滤波器(无限脉冲响应)求解一阶无源滤波器(低通和高通)的方法。介绍了滤波器的设计和实现过程,并对相同输入信号下的模拟滤波器和数字滤波器输出进行了比较。所设计的滤波器已经用于教育目的,旨在解释设计信号处理滤波器所需功能的技术。
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引用次数: 0
Seleceted Wireless Communication Protocols and their Properties for Use in IoT Systems 选定的无线通信协议及其在物联网系统中使用的属性
Róbert Rákay, A. Galajdová, J. Šeminský, I. Cvitić
Abstract The article is focused on testing selected communication protocols for the Internet of Things. The aim of the experiments was to find a suitable communication protocol to build a smart device of home automation. The recent developments in the field of communication protocols and data processing are providing a new form of constrained communication, while describing how the Things talk to each other in the Internet of Things. With growing number of connected devices in industry and commercial field, there is a need for the devices which can handle the new forms of communication, handle sensors and operate the battery power. The gathered data is either processed on the “edge” of the network or on the cloud platforms. Authors present a comparison of selected newest communication protocols, while reflecting on the results of their experimental testing.
摘要本文主要对物联网中选定的通信协议进行测试。实验的目的是找到一种合适的通信协议来构建一个智能的家庭自动化设备。通信协议和数据处理领域的最新发展提供了一种新的约束通信形式,同时描述了物联网中物之间如何相互通信。随着工业和商业领域的连接设备越来越多,需要能够处理新型通信形式,处理传感器和操作电池电源的设备。收集到的数据要么在网络的“边缘”处理,要么在云平台上处理。作者对所选的最新通信协议进行了比较,并对其实验测试结果进行了反思。
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引用次数: 2
Human Performance Tools Used as Incident Prevention Applied to a Construction Phase of a Nuclear Power Plant Mochovce 用于事故预防的人力绩效工具在核电厂建设阶段的应用
Marek Rolinec, K. Balog
Abstract In order to manage the Construction Safety in a professional and due manner, it is of the key importance to have in place an Occupational Health and Safety Management System, consisting, similarly as a house project, of correct foundations as preparation, planning, procurement, properly set up rules and contractual relations, especially if a site of approx. 5,000 daily manpower is of a concern. Pillars of safe construction follow, i.e. education and training, inspections, communication and, last but not least, human behaviour. The purpose of the following article is to introduce the Human Behaviour Improvement Tools applied in the NPP Mochovce, completion process of Units 3&4, focusing on the implementation and the observance of the OH&S rules.
摘要:为了以专业和适当的方式管理建筑安全,建立一个职业健康和安全管理体系至关重要,它与房屋项目类似,包括正确的准备、规划、采购基础,适当建立规则和合同关系,特别是如果是一个大约1000平方米的场地。每天5000人的人力是一个问题。安全建筑的支柱,即教育和培训,检查,沟通,最后但并非最不重要的是人的行为。下面这篇文章的目的是介绍人类行为改进工具应用于核电厂计划,完成过程中,单元3和4,重点是实施和遵守职业健康安全规则。
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引用次数: 0
Safety Concern of Nanomaterials 纳米材料的安全问题
A. Bartošová, Tatyana Nikolaevna Ivanova
Abstract Nanomaterials are sure to take an important part in shaping the 21st century. Nevertheless, their increasing application in many fields of the industry also turns attention to the impact on health and environment. To achieve this goal, it is necessary to fully understand the influence of nanoparticles on the environment and the relevant safety issues. The aim of the present review is to characterise the current state of regulation and legislation of nanomaterials, as well as the factors of safety assessment and their toxicity.
纳米材料必将在塑造21世纪中扮演重要角色。然而,它们在工业许多领域的日益广泛应用也使人们注意到对健康和环境的影响。为了实现这一目标,有必要充分了解纳米颗粒对环境的影响以及相关的安全问题。本综述的目的是描述纳米材料的监管和立法现状,以及安全评估的因素和它们的毒性。
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引用次数: 0
Review of Spectrophotometric Methods for Determination of Formaldehyde 分光光度法测定甲醛的研究进展
Martina Hladová, J. Martinka, P. Rantuch, A. Nečas
Abstract Formaldehyde is a toxic chemical commonly found in the environment. Owing to its increased usage, its incidence has also increased, and there is a need to determine the concentration of formaldehyde for the pollution control purposes. In general, spectrophotometric methods are easy to perform, low-cost, selective and sensitive, but every spectrophotometric method has its advantages and disadvantages, which are an important factor when selecting the method for determination of formaldehyde. Therefore, the aim of the research described in this paper was to compare the current spectrophotometric methods and to summarize their advantages and disadvantages.
甲醛是一种常见于环境中的有毒化学物质。由于其使用量增加,其发生率也有所增加,因此需要确定甲醛的浓度以控制污染。一般来说,分光光度法操作简单、成本低、选择性强、灵敏度高,但每种分光光度法都有其优缺点,这是选择测定甲醛方法的重要因素。因此,本文的研究目的是比较现有的分光光度法,并总结其优缺点。
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引用次数: 14
期刊
Research Papers Faculty of Materials Science and Technology Slovak University of Technology
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