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2022 IEEE 16th International Scientific Conference on Informatics (Informatics)最新文献

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An Image Encryption Algorithm Suitable for Medical Images 一种适用于医学图像的图像加密算法
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083313
Jakub Oravec, Ľ. Ovseník, Maroš Lapčák, Norbert Zdravecký, Samuel Andrejcík
Security of data becomes more and more important each day. The importance is even more pronounced if the data contain sensitive information, such as those shown in medical images. There are already several solutions that can be used in order to protect medical images during their storage or transmission. The most popular of those is probably encryption by conventional encryption algorithms such as Advanced Encryption Standard. This proposal tries to investigate possibility of using dedicated image encryption algorithms that have applications in fields of steganography and biometric systems for encryption of medical images. The dedicated image encryption algorithms can be easily adjusted for processing medical images, what can be verified by several experiments. Main advantage of this proposal lies in an addition of a substitution block, which should increase the security of whole algorithm. The performance of our solution will be evaluated by several numerical parameters and those will be compared with results reported in similar works.
数据的安全性变得越来越重要。如果数据包含敏感信息,例如医学图像中显示的信息,则其重要性更加明显。已经有几种解决方案可以用于在存储或传输过程中保护医学图像。其中最流行的可能是通过传统加密算法(如高级加密标准)进行加密。本提案试图研究使用专用图像加密算法的可能性,该算法在医学图像的隐写术和生物识别系统领域中有应用。专用的图像加密算法可以很容易地调整处理医学图像,这可以通过几个实验来验证。该方案的主要优点在于增加了替换块,提高了整个算法的安全性。我们的解决方案的性能将通过几个数值参数进行评估,并将这些数值参数与类似工作报告的结果进行比较。
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引用次数: 0
C++ Source Code Rejuvenation for an Improved Exception Specification 改进异常规范的c++源代码再生
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083493
Endre Fülöp, Attila Gyen, Norbert Pataki
Exception handling is a beneficial language construct in modern programming languages. However, C++'s type system does not really conform to these elements. As a con-sequence, developers have to pay attention to avoid mistakes because of the missing compiler support. Moreover, C++11provides an approach in which exceptions appear in the function's signature in an inverse manner compared to the earlier standards. Static analysis is an approach in which we reason about a program based on the source with no execution of the analyzed code. It can be used for many purposes, for instance, finding bugs, refactoring the code or measure code complexity. In this paper, we analyze how the older style exception speci-fications can be rejuvenated for the modern idioms. Explicitly marking the functions as having a guaranteed exception-free execution is the primary way since C++11. We develop a static analyzer tool for providing hints for these specifications. We evaluate our method with the analysis of open sources projects.
异常处理是现代编程语言中一种有益的语言结构。然而,c++的类型系统并不真正符合这些要素。因此,开发人员必须注意避免由于缺少编译器支持而导致的错误。此外,c++ 11提供了一种方法,在这种方法中,异常以与早期标准相反的方式出现在函数签名中。静态分析是一种方法,在这种方法中,我们根据源代码对程序进行推理,而不执行被分析的代码。它可以用于许多目的,例如,查找错误、重构代码或度量代码复杂性。在本文中,我们分析了如何使旧式的异常规范重新焕发活力,以适应现代的习惯用法。自c++ 11以来,显式地将函数标记为具有保证的无异常执行是主要的方法。我们开发了一个静态分析工具,为这些规范提供提示。我们通过对开源项目的分析来评估我们的方法。
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引用次数: 0
Collision detection and response approaches for computer muscle modelling 计算机肌肉建模中的碰撞检测与响应方法
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083500
Ondřej Havlíček, M. Cervenka, J. Kohout
Computer muscle modelling is used for many pur-poses, from injury recovery and treatment of chronic diseases to disease prediction. These predictions often involve computing the muscle's internal forces to determine further how fast something may happen (e.g. how quickly the muscle joint wears out). During the simulation of such a model, collisions of soft and rigid bodies inevitably occur. This paper tests various state-of-the-art collision handling methods: voxelisation, one using Signed Distance Fields and one based on Bounding Volume Hierarchies. These methods are tested in the context of muscle modelling with the previously proposed position-based dynamics approach. Compared to the other options, using the Discregrid library for Signed Distance Field generation shows the best results, mainly due to its accuracy to the speed of execution ratio. In contrast to the current system, visually pleasant improvements are significant.
计算机肌肉建模用于许多目的,从损伤恢复和慢性疾病的治疗到疾病预测。这些预测通常涉及计算肌肉的内力,以进一步确定事情可能发生的速度(例如,肌肉关节磨损的速度)。在该模型的仿真过程中,不可避免地会发生软体和刚体的碰撞。本文测试了各种最先进的碰撞处理方法:体素化,一种使用Signed Distance Fields,另一种基于Bounding Volume Hierarchies。这些方法在肌肉建模的背景下与先前提出的基于位置的动力学方法进行了测试。与其他选项相比,使用Discregrid库生成Signed Distance Field显示出最好的结果,主要是由于它的准确性与执行速度的比率。与目前的系统相比,视觉愉悦的改进是显著的。
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引用次数: 0
Modeling an author's specific expertise based on educational-related artifacts analysis 基于教育相关工件分析对作者的特定专业知识进行建模
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083457
Štefan Lapšanský, J. Lang
The paper deals with the problem of an author's specific expertise modeling. Research is fundamentally based on the analysis of an author's output - any artifacts that have educational potential. From the many available, it is limited to those of a textual nature. The work aims to create an author model and its confrontation with a reference model. Due to the real absence of the reference model, the result of the work is also its design and implementation. The paper evaluates several alternative proposals in the form of candidates for the reference model. Based on the results obtained from experiments, we conclude that estimating the author's expertise by comparing the author's model with a reference model of knowledge in any domain has potential.
本文研究了作者专业知识的建模问题。研究基本上是基于对作者作品的分析——任何具有教育潜力的人工制品。从许多可用的资料来看,它仅限于那些具有文本性质的资料。这项工作旨在创造一个作者模型及其与参考模型的对抗。由于实际缺乏参考模型,因此工作的结果也是其设计和实现。本文以候选参考模型的形式评估了几种备选方案。基于实验结果,我们得出结论,通过将作者的模型与任何领域的知识参考模型进行比较来估计作者的专业知识是有潜力的。
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引用次数: 0
Polyamide 12 Pickling Equipment for 3D Printed Parts 用于3D打印部件的聚酰胺12酸洗设备
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083496
Norbert Fercnčik, William Steingartner, B. Štefanovič, M. Kohan, Tomáš Breškovič, R. Hudák
In this review article, we would like to describe the development and production of equipment called MorPa, designed for pickling of components extruded from Polyamide 12 material using multi jet fusion technology. The goal of this project is to create an affordable and reliable device that will change color and physical properties of the components. In the following article, we describe the hardware part of the device, the software part and compare the printed parts before and after pickling. The article also includes a description of the control of the device based on the Arduino microcomputer with the used peripherals.
在这篇综述文章中,我们将介绍MorPa设备的开发和生产,该设备是专为使用多喷流熔融技术对聚酰胺12材料挤出的部件进行酸洗而设计的。该项目的目标是创造一种价格合理且可靠的设备,可以改变组件的颜色和物理特性。在接下来的文章中,我们将介绍该设备的硬件部分和软件部分,并对酸洗前后的打印部分进行比较。本文还介绍了基于Arduino微型计算机的设备控制以及所使用的外设。
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引用次数: 0
Use of intuitionistic fuzzy set methods in parallel classification of image data 直觉模糊集方法在图像数据并行分类中的应用
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083463
A. Michalíková, A. Dudáš
Image classification is process of allocation of image data entities to classes in such a way, that individual elements of a class bear common features. We are focusing on the methods of tire tread image data classification based on intuitionistic fuzzy sets and voting mechanism. The paper presents the design, implementation and experimental evaluation of parallel algorithms for classification of tire tread images based on intuitionistic fuzzy set methods which include similarity measure, distance function and chosen intuitionistic fuzzy negations.
图像分类是将图像数据实体分配到类的过程,使类中的单个元素具有共同的特征。研究了基于直觉模糊集和投票机制的轮胎胎面图像数据分类方法。提出了一种基于直觉模糊集方法的轮胎胎面图像分类并行算法的设计、实现和实验评价,该算法包括相似度量、距离函数和选择的直觉模糊否定。
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引用次数: 0
Towards a Formal Specification of Human Worker for Industry 4.0 面向工业4.0的人力资源正式规范
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083444
Dajana Antanasijević, Sonia Ristić, Marko Vieštica, Vladimir Dimitrieski, M. Pisarić
Industry 4.0 aims to build open and intelligent manufacturing platforms in which humans, machines, and other resources communicate with each other. Modeling techniques and simulation of production processes can be used to facilitate flexibility and automation of a shop floor. In previous research we have proposed an approach to support production process modeling based on Model- Driven principles alongside with a Domain-Specific Modeling Language named MultiProLan which can be used to create production process models suitable for automatic generation of executable code that enables automatic execution of production processes within a simulation or a shop floor. Here we propose a research on the extension of MultiProLan language aimed at human worker modeling in the context of Industry 4.0. The language extension would enable the formal specification of human worker's roles, skills, competencies, capabilities, and limitations in order to achieve the better integration of human workers and machines in the smart factory.
工业4.0旨在建立开放和智能的制造平台,在这个平台上,人、机器和其他资源可以相互通信。生产过程的建模技术和仿真可用于促进车间的灵活性和自动化。在之前的研究中,我们提出了一种方法来支持基于模型驱动原则的生产过程建模,以及一种名为MultiProLan的领域特定建模语言,该语言可用于创建适合于自动生成可执行代码的生产过程模型,这些可执行代码可以在仿真或车间内自动执行生产过程。在此,我们提出了一项针对工业4.0背景下人类工作者建模的MultiProLan语言扩展研究。语言扩展将使人类工人的角色、技能、能力、能力和限制的正式规范成为可能,以便在智能工厂中实现人类工人和机器的更好集成。
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引用次数: 1
Valuation of Intellectual Property in IT industry Selected Problems IT产业知识产权价值评估的若干问题
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083440
Pawel Kossecki
Defining a method for calculating the value of copyrights and related rights is crucial for the IT sector as well as the industry in the climate of the new economy. It is a cross-disciplinary problem, as it reflects both legal aspects of creating IT content and business strategic management requirements. Existing quasi monopolies rule the valuation practices with no transparency what limits the heterogeneity of markets. Many companies encounter serious developmental problems due to copyright disputes. Article describes typical problems and cases of the valuation of intellectual property including valuation of R&D projects, copyright to software as well as legal and tax purposes. Author also try to answer on the typical question of young entrepreneurs and programmers: what is the value of created by me intellectual property (IP)?
在新经济环境下,对信息技术(IT)行业和整个行业来说,确定版权及相关权价值的计算方法至关重要。这是一个跨学科的问题,因为它反映了创建It内容的法律方面和业务战略管理需求。现有的准垄断支配着估值实践,没有透明度,这限制了市场的异质性。由于版权纠纷,许多公司遇到了严重的发展问题。本文介绍了知识产权价值评估的典型问题和案例,包括研发项目价值评估、软件著作权价值评估以及法律和税收目的。作者还试图回答年轻企业家和程序员的典型问题:我所创造的知识产权(IP)的价值是什么?
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引用次数: 1
SCRUM Retrospective Discussions Support Based on Class-Diagram Redocumentation 基于类图重新文档的SCRUM回顾性讨论支持
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083480
Oliver Udvardi, J. Lang
Despite the fact that software developers perceive the need for good documentation, it is usually at the tail end of interest in pragmatically oriented approaches. The problem is also the fact that, as the evaluation indicators of the project, the prevailing metrics that follow the aspect of time are more important than the aspect of quality. The solution here can be the re-documentation itself, the automatic generation of documentation in the background of the developers' work from the artifacts created during the development itself. This paper analyses the approaches, documentation tools and forms in any way related to the agile Scrum approach in software development. As a result it offers its own prototype documentation tool integrated into Atlassians' Confluence platform with a link to the GitHub repository and Jira issue tracking system. He evaluates his own solution by a qualitatively controlled interview with the stakeholders.
尽管软件开发人员意识到需要良好的文档,但在面向实用的方法中,它通常处于兴趣的末尾。问题还在于,作为项目的评价指标,遵循时间方面的主流度量比质量方面更重要。这里的解决方案可以是重新编制文档本身,在开发人员工作的后台,根据开发过程中创建的工件自动生成文档。本文分析了软件开发中与敏捷Scrum方法相关的方法、文档工具和表单。因此,它提供了自己的原型文档工具,集成到Atlassians的Confluence平台上,并提供了到GitHub存储库和Jira问题跟踪系统的链接。他通过与涉众进行定性控制的访谈来评估自己的解决方案。
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引用次数: 0
Classification of Activating and Deactivating Emotions for Chatbots Using Statistical Methods 基于统计方法的聊天机器人情绪激活与失效分类
Pub Date : 2022-11-23 DOI: 10.1109/Informatics57926.2022.10083485
Lukas Tomaszek, M. Miklosíková, M. Malčík
Emotion recognition is the current trend. Being able to recognize emotions can help us in the creation of artificial intelligence interacting with humans, but also in the psychological problems of individuals. In this paper, we focus on comparing activating and deactivating emotions using peak analysis. As the results show, individuals experience more peaks during activating emotions than during deactivating emotions. This result may help us to identify emotions more accurately and develop more complex classification algorithms.
情感识别是当前的趋势。能够识别情绪可以帮助我们创造与人类互动的人工智能,也可以帮助我们解决个人的心理问题。在本文中,我们着重于使用峰值分析来比较激活和停用情绪。结果表明,个体在激活情绪时比在抑制情绪时经历更多的高峰。这一结果可能有助于我们更准确地识别情绪,并开发更复杂的分类算法。
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引用次数: 0
期刊
2022 IEEE 16th International Scientific Conference on Informatics (Informatics)
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