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2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH)最新文献

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Power System Decarbonization and Electrical Vehicles 电力系统脱碳和电动汽车
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094047
Goran Dobrić
Decarbonization of power systems represents the main tool of energy transition and sustainable development. Faced with many challenges, decarbonization of power systems needs the application of new technologies for production and energy storage, advanced optimization algorithms and artificial intelligence algorithms for system operation and control, as well as the utilization of all available balancing resources, especially at the distribution level by activating consumers and distributed resources. This paper gives an overview of the current state of decarbonization process in the world, including CO2 emission, electricity consumption rise, the rapid growth of electric vehicle sales and changes in power systems needed for their utilization.
电力系统脱碳是实现能源转型和可持续发展的主要手段。面对诸多挑战,电力系统的脱碳需要应用新的生产和储能技术、先进的优化算法和人工智能算法进行系统运行和控制,以及利用所有可用的平衡资源,特别是在配电层面,通过激活消费者和分布式资源。本文概述了全球脱碳进程的现状,包括二氧化碳排放、用电量的上升、电动汽车销量的快速增长以及利用电动汽车所需的电力系统的变化。
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引用次数: 1
Comparative Analysis of Existing Measures to Reduce Road Accidents in Western Europe 西欧减少道路交通事故现有措施的比较分析
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094192
N. Chernykh, A. Mikhalev, V. Dmitriev, Vadim Tynchenko, E. Shutkina
The article is devoted to the study of ways of solving the problems connected with ensuring road traffic safety and preserving human health on public roads. The relevance of this study is connected with the intensive growth of the number of road transport, brings certain problems to the management of the road transport and road economy by the state apparatus. The authors highlighted, described and analyzed the characteristic features of the organization of road traffic in the country’s leading in road safety. Considerable attention is paid to practical experience in the application of existing accident reduction measures, which are effective and give the most positive trend in reducing the number of traffic violations, accidents, resulting in fewer casualties and fewer deaths. As a result of the study, a number of measures aimed at improving road safety that can be applied on the roads of the Russian Federation were identified and analyzed. A number of measures have been proposed to achieve significant indicators in a relatively short period of time to ensure the safety of pedestrian traffic.
本文致力于研究如何解决公共道路上与确保道路交通安全和保护人类健康有关的问题。本研究的相关性与公路运输量的集约化增长有关,给国家机关对公路运输和公路经济的管理带来了一定的问题。对我国道路安全领先国家道路交通组织的特点进行了突出、描述和分析。在实施现有减少事故措施方面的实际经验得到了相当大的重视,这些措施是有效的,在减少交通违法和事故数量方面呈现出最积极的趋势,从而减少伤亡和死亡。根据这项研究,确定和分析了一些旨在改善道路安全的措施,这些措施可以适用于俄罗斯联邦的道路。为了在较短的时间内实现重要的指标,以确保行人交通的安全,已经提出了一些措施。
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引用次数: 0
Contribution of Wind Power Plants to Transmission System Transient Stability 风力发电厂对输电系统暂态稳定的贡献
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094110
V. Helac, S. Hanjalic, S. Grebović, V. Becirovic
The increase in the number of wind farms and their share in the total electrical energy generation leads to the need for a different approach to this source in cases where the stability of the power system is potentially impaired. With the development of different types of wind power plants, equipped with power electronics devices, there is the possibility of quick power management and injection, in conditions when it is needed, where a huge amount of accumulated kinetic energy can also be used. This paper presents the influence of a wind power plant equipped with a full-scale converter on the transient stability in cases of close and distant short circuits, during the outage of a heavily loaded line. Special attention was paid to the Rate of Change of Frequency (RoCoF) in the power system in cases with and without a wind farm where fast power injections were possible.
风力发电场数量的增加及其在总发电量中所占份额的增加,导致在电力系统的稳定性受到潜在损害的情况下,需要采用不同的方法来解决这一问题。随着不同类型的风力发电厂的发展,配备电力电子设备,有可能在需要的情况下进行快速的电力管理和注入,在那里也可以使用大量积累的动能。本文介绍了在重载线路停机时,安装满量程变流器的风电场在近距离短路和远距离短路情况下对暂态稳定性的影响。在有或没有风电场的情况下,电力系统的频率变化率(RoCoF)得到了特别关注,因为风电场可以快速注入电力。
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引用次数: 0
Synthetic Inertia in Wind Power Plants: An Overview 风力发电厂的综合惯性:综述
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094115
V. Helac, S. Hanjalic, S. Grebović, V. Becirovic
The contribution of renewable energy sources to the power system stability will have to be greater in the future. The problem will arise if the share of wind power plants in total production increases and large failures occur. Then, wind farms, which are often called inertia-less sources in the literature, will have to help maintain the frequency in a normal amount by changing the management method and based on fast PMU measurements. This can be done by using the synthetic inertia size, which is defined for sources that are derived from the system via energy converters and which do not participate in defining the total inertia of the system. This paper provides a better insight into the understanding of the concept of synthetic inertia, as well as insight into the current development of management and the application of synthetic inertia in maintaining the stability of the power system.
在未来,可再生能源对电力系统稳定性的贡献将会越来越大。如果风力发电厂在总产量中所占的份额增加,并发生大规模故障,问题就会出现。然后,在文献中通常被称为无惯性源的风力发电场将不得不通过改变管理方法和基于快速PMU测量来帮助将频率维持在正常水平。这可以通过使用综合惯性大小来完成,它是为通过能量转换器从系统中导出的源定义的,并且不参与定义系统的总惯性。本文提供了对综合惯性概念的理解,以及对当前管理发展和综合惯性在维持电力系统稳定中的应用的深入了解。
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引用次数: 0
Social engineering with ChatGPT 使用ChatGPT进行社会工程
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094141
Dijana Vukovic Grbic, Igor Dujlovic
In this paper we are presenting a possibility of using ChatGPT for preparing environments for executing social engineering based attacks. Very soon after public launching, ChatGPT has shown excellent results in many different topics, answering some general or specific questions, generating code or preparing text templates of even texts on specific topics. Combining those possibilities and good preparedness of the system, it is possible to get everything that is needed for phishing or some other attack only in a few clicks and in a couple of minutes. This paper covers the scenario of creating phishing attack using ChatGPT, with an overview of social engineering attacks and their prevention in general.
在本文中,我们展示了使用ChatGPT为执行基于社会工程的攻击准备环境的可能性。在公开发布后不久,ChatGPT就在许多不同的主题上显示了出色的效果,回答了一些一般或特定的问题,生成了代码,甚至准备了特定主题的文本模板。结合这些可能性和系统的良好准备,只需点击几下鼠标,几分钟内就可以获得网络钓鱼或其他攻击所需的一切。本文介绍了使用ChatGPT创建网络钓鱼攻击的场景,概述了社会工程攻击及其一般预防方法。
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引用次数: 7
Comparison of VMware Workstation, VirtualBox and MS Hyper-V hypervisor performance with MS Windows OS based guests VMware Workstation、VirtualBox和MS Hyper-V hypervisor在MS Windows操作系统上的性能比较
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094080
B. Djordjevic, V. Timčenko, Nenad Kraljević, Iva Jovičić, Nikola Davidovic
This paper presents a performance comparison of the Type-2 hypervisor, using the VMware Workstation player, then the VirtualBox platform, and finally MS Hyper-V, as the virtualization role in Windows 10 Pro environment. The tests were performed under the same conditions and the same test method using HD Tune Pro tool. For the guest operating system, Windows 10 Pro was chosen as the basis for all testing phases. The performance of all three virtual platforms are compared for the cases with one, two and three virtual machines in operation. The tests were validated based on the results obtained using the benchmark program.
本文介绍了在Windows 10 Pro环境下使用VMware Workstation player、VirtualBox平台和MS Hyper-V作为虚拟化角色的Type-2 hypervisor的性能比较。在相同的条件和相同的测试方法下,使用HD Tune Pro工具进行测试。对于客户操作系统,Windows 10 Pro被选为所有测试阶段的基础。在运行一个、两个和三个虚拟机的情况下,比较了这三个虚拟平台的性能。根据使用基准程序获得的结果对测试进行了验证。
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引用次数: 0
Predictive analysis of student enrolment in secondary schools 中学学生入学率的预测分析
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094089
Ana Lojić, Samed Jukic
In research to determine the degree of interest in enrolling students in certain high schools, predictive analysis and comparison models are rarely used when classifying and processing different data. All this leads to large fluctuations in enrolment in secondary schools, where certain schools are unable to enrol numerous students who show an interest in a particular field. On the other hand, students lose interest in certain schools, which leads to the discontinuation of certain courses necessary for the needs of today's labour market. Institutions responsible for organizing the educational process do not sufficiently compare and connect teaching and non-teaching activities when analysing the talents and interests of elementary school students from different fields. The goal of this work is to predict the enrolment of students in secondary schools, using the classifiers of programming languages, based on the results that students express during regular classes in elementary schools.The results show that the accuracy of the data during the training of the Random Forest predictor is 52%, while in Wolfram Alpha it is 62%
在确定某所高中的招生兴趣程度的研究中,对不同的数据进行分类和处理时,很少使用预测分析和比较模型。所有这些都导致中学入学率大幅波动,某些学校无法招收对某一特定领域感兴趣的众多学生。另一方面,学生们对某些学校失去了兴趣,这就导致了满足当今劳动力市场需要的某些课程的中断。负责组织教育过程的机构在分析不同领域小学生的才能和兴趣时,没有充分地将教学活动与非教学活动进行比较和联系。这项工作的目标是基于小学生在普通课堂上表达的结果,使用编程语言的分类器来预测中学学生的入学率。结果表明,随机森林预测器训练时的数据准确率为52%,而Wolfram Alpha训练时的数据准确率为62%
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引用次数: 0
Application of Data Analysis Methods to Identify Problems in a Socially Significant Sector 应用数据分析方法识别社会重要部门的问题
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094060
S. Kurashkin, A. Glinskaya, E. Shutkina, V. Kiryakov, N. Pikov
This article considers the problem of the impact of the pandemic on medical personnel in the Russian Federation. During the pandemic, one of the most acute problems is the shortage of medical personnel. The study of the issue of shortage of medical personnel is relevant both for the whole world and for Russia. The authorities of several Russian regions at once, against the backdrop of an increase in the incidence of coronavirus, announced an acute shortage of doctors and mid-level health workers. In Russia, first of all, there was a shortage of primary health care doctors - general practitioners, general practitioners, and pediatricians. Staffing problems were discussed even before the pandemic, but during the pandemic, the workload on the medical staff increased and existing specialists began to leave. This paper presents possible solutions. Such as increasing wages and attracting students to increase staff. The purpose of the study is to analyze the reasons for the lack of personnel, identify existing problems, and formulate recommendations for their elimination.
本文审议了这一流行病对俄罗斯联邦医务人员的影响问题。在大流行期间,最严重的问题之一是医务人员短缺。对医务人员短缺问题的研究不仅对全世界有意义,对俄罗斯也有意义。在冠状病毒发病率上升的背景下,俄罗斯几个地区的当局同时宣布,医生和中级卫生工作者严重短缺。首先,俄罗斯缺乏初级保健医生——全科医生、全科医生和儿科医生。甚至在大流行之前就讨论了人员配置问题,但在大流行期间,医务人员的工作量增加了,现有专家开始离开。本文提出了可能的解决方案。比如提高工资,吸引学生增加员工。研究的目的是分析人员缺乏的原因,找出存在的问题,并制定消除这些问题的建议。
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引用次数: 0
Clustering-Based Students' Descriptive Model 基于聚类的学生描述模型
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094114
S. Milinkovic, V. Vujovic, Zorana Štaka, M. Vuković
When students enroll at universities, various datasets can be available to managers and teachers. Clustering techniques can be applied in order to divide the instances within those datasets into natural groups. In this paper, one clustering-based approach combined with attribute selection methods for identifying specific input dataset variables meaningful for the disjunction of distinct students' profiles has been proposed. Also, an analysis of the descriptive students' model obtained by the proposed methodology is performed.
当学生在大学注册时,管理人员和教师可以使用各种数据集。可以应用聚类技术将这些数据集中的实例划分为自然组。本文提出了一种基于聚类的方法,结合属性选择方法来识别对不同学生档案的分离有意义的特定输入数据集变量。此外,对所提出的方法获得的描述性学生模型进行了分析。
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引用次数: 0
Application for threat surveillance using Python and Yolo-V7 使用Python和Yolo-V7的威胁监视应用程序
Pub Date : 2023-03-15 DOI: 10.1109/INFOTEH57020.2023.10094153
Robert Manuel, Bota Ioana, Anca Gavrilas
This paper describes the functionality and the results of the Threat Surveillance mini-project on computer vision. Its main objective is to create and offer the possibility of monitoring and detecting cold and fire weapons, while maintaining public safety. Created not only for military purposes but also for civilian ones, the project proposes a simple graphical user interface (GUI) which is aimed at maximum user convenience. The core of the functionality is however based on advanced commercial software belonging to artificial intelligence (AI), called Yolo - V7. It is an algorithm of real-time object detection. The GUI allows personalizing the application execution by choosing the targeted weapon category along with loading a photograph or video which contains the category to be detected/recognized. The weapon detection part provides possible bounding boxes where the desired weapons might be situated in the chosen media and classifies them according to the object classes previously created by training.
本文介绍了基于计算机视觉的威胁监视小项目的功能和结果。其主要目标是创造和提供监测和探测冷武器和火力武器的可能性,同时维护公共安全。该项目不仅用于军事目的,也用于民用目的,它提出了一个简单的图形用户界面(GUI),旨在最大限度地方便用户。然而,该功能的核心是基于属于人工智能(AI)的高级商业软件Yolo - V7。它是一种实时目标检测算法。GUI允许通过选择目标武器类别以及加载包含要检测/识别类别的照片或视频来个性化应用程序执行。武器检测部分提供可能的边界框,其中所需的武器可能位于所选媒体中,并根据之前通过训练创建的对象类别对它们进行分类。
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引用次数: 1
期刊
2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH)
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