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2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)最新文献

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Windows 10 Operating System: Vulnerability Assessment and Exploitation Windows 10操作系统:漏洞评估与利用
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751274
J. Softić, Z. Vejzovic
The study focused on assessing and testing Windows 10 to identify possible vulnerabilities and their ability to withstand cyber-attacks. CVE data, alongside other vulnerability reports, were instrumental in measuring the operating system's performance. Metasploit and Nmap were essential in penetration and intrusion experiments in a simulated environment. The study applied the following testing procedure: information gathering, scanning and results analysis, vulnerability selection, launch attacks, and gaining access to the operating system. Penetration testing involved eight attacks, two of which were effective against the different Windows 10 versions. Installing the latest version of Windows 10 did not guarantee complete protection against attacks. Further research is essential in assessing the system's vulnerabilities are recommending better solutions.
这项研究的重点是评估和测试Windows 10,以识别可能存在的漏洞及其抵御网络攻击的能力。CVE数据与其他漏洞报告一起,在衡量操作系统的性能方面发挥了重要作用。Metasploit和Nmap在模拟环境下的渗透和入侵实验中是必不可少的。本研究采用了以下测试流程:信息收集、扫描和结果分析、漏洞选择、发起攻击、获取操作系统访问权限。渗透测试涉及八次攻击,其中两次针对不同的Windows 10版本有效。安装最新版本的Windows 10并不能保证完全防范攻击。进一步的研究对于评估系统的漏洞和推荐更好的解决方案至关重要。
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引用次数: 3
Enhancing transparency and fairness in public procurement process with the support of blockchain technology: a smart contract based approach 在区块链技术的支持下,提高公共采购过程的透明度和公平性:基于智能合约的方法
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751322
Denis Ceke, N. Buzadija, S. Kunosić
The possibility of establishing a transparent public procurement process through the inclusion of protected transparent digital technologies or platforms, such as blockchain technology, represents a significant step forward in the field of public procurement. Furthermore, if we add to this idea the Ethereum network and the ability to create applications that run on this network, such as smart contracts, the procurement process can be made much more objective and transparent to all participants in the process. The proposed model presented in this paper consists of two smart contracts. Each one of them has its own basic building blocks used for different phases of the public procurement process, from the definition of security access polices for different parts of procurement contract, public procurement procedure, bidding by interested bidders, evaluation of bids and the final publication of the results. Elements of the proposed system have been analyzed and presented and some of the further development plans have been formulated.
通过纳入受保护的透明数字技术或平台(如区块链技术)来建立透明的公共采购流程的可能性,代表了公共采购领域向前迈出的重要一步。此外,如果我们将以太坊网络和创建在该网络上运行的应用程序(例如智能合约)的能力添加到这个想法中,那么采购过程可以对该过程中的所有参与者更加客观和透明。本文提出的模型由两个智能合约组成。从采购合同不同部分的安全访问政策的定义、公共采购程序、感兴趣的投标人的投标、投标评估和最终结果的公布,每一个标准都有自己的基本构建模块,用于公共采购过程的不同阶段。已经分析和介绍了拟议系统的要素,并制定了一些进一步的发展计划。
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引用次数: 2
Development of Learning Factory Directory - DoLF 学习型工厂目录DoLF的开发
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751321
Miro Hegedic, Petar Gregurić, Matija Golec, Mihael Gudlin
Learning Factory is one of the educational tools that can be used to learn about Industry 4.0. technologies. It is a highly complex educational environment used to simulate the real manufacturing world as closely as possible. Since there are currently many learning factories globally, this paper outlines methods used to develop a new updated learning factory directory. The directory, which was developed using cutting-edge, no-code tools, results from a review of available scientific and public sources. Directory development resulted in an updated learning factories database that facilitates research work through more user-friendly access and enables comparison and networking of learning factories.
学习工厂是可以用来了解工业4.0的教育工具之一。技术。这是一个高度复杂的教育环境,用来尽可能地模拟真实的制造业世界。鉴于目前全球有许多学习型工厂,本文概述了开发新的更新学习型工厂目录的方法。该目录是使用尖端的无代码工具开发的,是对现有科学和公共资源进行审查的结果。目录的开发产生了一个更新的学习型工厂数据库,通过更方便用户的访问促进了研究工作,并使学习型工厂能够进行比较和联网。
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引用次数: 0
Designing an information system to support the business of the taxi service 设计一个信息系统以支持的士服务的业务
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751298
Sofija Djordjevic
This paper proposes a system that facilitates the process of booking a taxi vehicle and provides users with a quick and efficient way to get to their vehicle. It will also discuss the effective software techniques which can be used during development of professional websites and how the proposed technique can make the process more efficient and effective by making changes in some of the phases to get better results. The proposed application aims to contribute to the modernization of the taxi industry by harnessing the power of advances in information and communication technology.
本文提出了一种简化出租车预定过程的系统,为用户提供了一种快速有效的到达车辆的方式。它还将讨论在专业网站开发过程中可以使用的有效软件技术,以及所提出的技术如何通过在某些阶段进行更改来获得更好的结果,从而使该过程更高效和有效。建议的应用程序旨在利用先进的资讯及通讯科技,为的士行业的现代化作出贡献。
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引用次数: 0
Visualization of Objects in Computer Tomography 计算机断层扫描中物体的可视化
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751325
T. Petrova, Z. Petrov
The article examines methods for separating contours from computed tomography images. The important about the contours is that they are the places where a sharp change in the brightness of adjacent pixels takes place and to highlight them must be used so called “high-pass filters”. The article examines the separation of contours by first-order differential operators. An analysis of the existing methods of contour separation in images and the results obtained from their application on tomographic images is presented.
本文探讨了从计算机断层扫描图像中分离轮廓的方法。轮廓的重要之处在于,它们是相邻像素亮度发生急剧变化的地方,为了突出显示它们,必须使用所谓的“高通滤波器”。本文研究了用一阶微分算子分离轮廓的方法。分析了现有的图像中轮廓分离方法及其在层析图像上的应用结果。
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引用次数: 0
Writer Identification From Historical Documents Using Ensemble Deep Learning Transfer Models 使用集成深度学习迁移模型从历史文献中识别作者
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751301
Radmila Jankovic Babic, Alessia Amelio, I. Draganov
Handwriting recognition is a challenging task and with the advancements in the development of the deep learning such task can be performed even for very limited documents. This paper aims to perform writer identification and retrieval from historical documents using an ensemble of convolutional neural network models that were built using the Inception-ResNet-v2 pre-trained architecture. The dataset comprises 170 images grouped in 34 classes. The results prove that the ensemble model outperforms single pre-trained models, obtaining an accuracy of 96%.
手写识别是一项具有挑战性的任务,随着深度学习的发展,即使对于非常有限的文档,也可以执行这样的任务。本文旨在使用使用Inception-ResNet-v2预训练架构构建的卷积神经网络模型集合来执行作者识别和从历史文档中检索。该数据集包括170张图像,分为34类。结果表明,集成模型优于单个预训练模型,准确率达到96%。
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引用次数: 1
Bad news or good news when recognizing emotional valence using phonemic content 利用音位内容识别情绪效价时的坏消息或好消息
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751339
V. Slavova, F. Andonov
This study uses a psycholinguistics approach to the task of recognizing the emotional tone of texts with the purpose of providing an additional source of information related to emotional valence (positive-negative emotion). A previous analysis found that the rates of vowel-consonant pairings (“biphones”) are strongly correlated with emotional valence. Here we apply the discovered dependencies on arbitrarily downloaded texts of Internet news items. The sub-lexical level of these texts, with a length from 0.5 to 2.5 pages, is analyzed in regard to emotional tone. The result confirms that the phonemic level composed of biphones is indicative for the emotional tone of real-life texts. The developed method relies solely on the information carried by the sounds in the language (as an independent channel of information) and can be applied in systems for classifying the emotional valence of real-world texts.
本研究使用心理语言学的方法来识别文本的情绪语气,目的是提供与情绪效价(积极-消极情绪)相关的额外信息来源。先前的一项分析发现,元音-辅音配对的频率(“双音”)与情绪效价密切相关。这里我们将发现的依赖关系应用于任意下载的互联网新闻条目文本。从亚词汇层面分析了这些长度为0.5 ~ 2.5页的文本的情感语气。研究结果证实,双话筒构成的音素水平反映了现实生活文本的情感语调。所开发的方法仅依赖于语言中声音所携带的信息(作为一种独立的信息渠道),可以应用于现实世界文本情感价的分类系统。
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引用次数: 0
Collaboration of Heterogeneous Medical Information Systems in the Republic of Serbia 塞尔维亚共和国异构医疗信息系统的协作
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751250
Anđelija Đordević, A. Milenković, D. Jankovic, P. Rajković, A. Spasic
Preservation of health data and monitoring of patients' treatment history is the basis for adequate treatment and prediction of potential diseases or conditions. Medical information systems (MISes) make it easier for healthcare professionals to search for and review all existing medical patient data for adequate treatment and provide the ability to warn of potential illnesses depending on previous treatments. However, MIS is often organized locally, at the healthcare institution or city level, and it is not possible to directly access data located in other healthcare facilities. Therefore, the collaboration of healthcare institutions' MISes is inevitable. This paper discusses the problem realization of heterogeneous MIS collaboration on the example of MIS MEDIS.NET collaboration with other healthcare institutions' MISes in the Republic of Serbia, which is reflected in the exchange of medical data for a particular patient. The described concept can be applied to the collaboration of other types of information systems, i.e., creating a distributed centralized system.
保存健康数据和监测患者的治疗历史是充分治疗和预测潜在疾病或病症的基础。医疗信息系统(MISes)使医疗保健专业人员更容易搜索和审查所有现有的医疗患者数据,以获得适当的治疗,并提供根据以前的治疗警告潜在疾病的能力。然而,MIS通常是在当地的医疗机构或城市级别组织的,不可能直接访问位于其他医疗机构的数据。因此,医疗机构的MISes协作是必然的。本文以MIS MEDIS为例,讨论了异构MIS协作的问题实现。. NET与塞尔维亚共和国其他医疗机构的MISes合作,这反映在特定患者的医疗数据交换上。所描述的概念可以应用于其他类型信息系统的协作,即创建分布式集中系统。
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引用次数: 1
3D Vehicle Pose Estimation from an Image Using Geometry 三维车辆姿态估计从图像使用几何
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9769998
N. Stojanović, Vasilije Pantić, Vladan Damjanović, S. Vukmirovic
3D pose estimation is a quite fascinating problem in the computer vision field, which aims to get the 3D orientation of the object based on the 2D image and can be challenging to find the solution. These solutions are mostly used in the autonomous industry to properly detect cars’ orientation on street scenes. Most solutions and publicly available datasets refer to only one axis orientation (axis parallel to the road), while two others are set to zero. In this paper, we propose a new way of representing a 3D object orientation that is not limited only to the autonomous industry. Our proposal uses Euler angle representation and two coordinate systems (one from the camera and one from the detected object) to define angle orientation for each axis in 3D space. Because this approach is supposed to be used in creating datasets and solutions in the deep learning field, there are some restrictions to be considered to properly train your solution. To better represent the proposal of 3D orientation and its purpose, it is necessary to visualize the bounding box around the detected object, which will follow its orientation. The visualization part is being done using computer-generated images (CGI), while the algorithmic part uses quaternions instead of Euler angles for the rotation of the 3D bounding box.
三维姿态估计是计算机视觉领域中一个非常有趣的问题,其目的是基于二维图像获得物体的三维方向,并且具有挑战性。这些解决方案主要用于自动驾驶行业,以正确检测街道场景中的汽车方向。大多数解决方案和公开可用的数据集只涉及一个轴方向(与道路平行的轴),而另外两个轴被设置为零。在本文中,我们提出了一种表示3D对象方向的新方法,这种方法不仅限于自治行业。我们的建议使用欧拉角度表示法和两个坐标系(一个来自相机,一个来自被检测物体)来定义3D空间中每个轴的角度方向。因为这种方法应该用于创建深度学习领域的数据集和解决方案,所以要正确训练解决方案需要考虑一些限制。为了更好地表达三维方向的提议及其目的,有必要将被检测对象周围的边界框可视化,该边界框将遵循其方向。可视化部分使用计算机生成的图像(CGI)完成,而算法部分使用四元数而不是欧拉角来旋转3D边界框。
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引用次数: 0
An Optimal Design of 2DoF FOPID/PID Controller using Non-symmetrical Optimum Principle for an AVR System with Time Delay 基于非对称优化原理的时滞AVR系统2自由度FOPID/PID控制器优化设计
Pub Date : 2022-03-16 DOI: 10.1109/INFOTEH53737.2022.9751259
Marko Č. Bošković, T. Šekara, M. Rapaić
In the present study, an optimization technique is performed to obtain optimal parameters of the fractional-order FOPID/PID controller for an automatic voltage regulator (AVR) system with the time delay introduced by measurement devices and communication links for data transfer. The primary aim of the controller design for AVR system is to sustain the terminal voltage of the synchronous generator (SG) within admissible ranges by adjusting exciter signals. The set of adjustable parameters of FOPID/PID controller is obtained through the maximization of the integral gain of FOPID controller under constraints on desired phase margin and two requirements on the basis of the non-symmetrical optimum principle. Resulting quality of the regulation is assessed with performance indices: settling time, overshoot and rise time, while Integral of the Absolute Error (IAE) is used as indicator of load disturbance rejection.
在本研究中,采用一种优化技术来获得分数阶FOPID/PID控制器的最优参数,用于自动电压调节器(AVR)系统,该系统具有测量设备和数据传输通信链路引入的时间延迟。AVR系统控制器设计的主要目的是通过调节励磁信号使同步发电机的端电压保持在允许的范围内。基于非对称优化原理,在期望相位裕度和两个要求的约束下,通过FOPID控制器的积分增益最大化,得到FOPID/PID控制器的可调参数集。用稳定时间、超调时间和上升时间等性能指标评价调节结果的质量,用绝对误差积分(IAE)作为抗负荷扰动的指标。
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引用次数: 1
期刊
2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)
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