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2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)最新文献

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Emergency System Optimization with Minimal Network Modifications 最小网络修改下的应急系统优化
Marek Kvet
Research reported in this paper was motivated by insufficient and geographically poorly distributed network of emergency medical service stations in Slovakia. The main idea of this study aims at increasing the percentage of population covered by provided service within 15 minutes. In some cases, it is natural and logical to assume that moving several stations a few kilometers or performing other changes in the network could significantly improve the service accessibility for citizens. In this paper, we concentrate on emergency medical system optimization, in which only minimal changes are acceptable. Theoretical explanation of quantitative methods is followed by a computational study with real data from Slovakia.
研究报告在这篇论文的动机是不足和地理上分布不良的网络紧急医疗服务站在斯洛伐克。这项研究的主要目的是提高15分钟内提供服务的人口比例。在某些情况下,假设将几个站点移动几公里或在网络中执行其他更改可以显着改善公民的服务可及性是自然和合乎逻辑的。在本文中,我们集中在紧急医疗系统的优化,其中只有最小的变化是可以接受的。在定量方法的理论解释之后,用斯洛伐克的实际数据进行了计算研究。
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引用次数: 0
Approximation of discrete-time systems with delay: application to multi-agent systems 离散时滞系统的逼近:在多智能体系统中的应用
Áron Fehér, Lorine Márton
The paper presents a novel approximation method for discrete-time Multi-Agent System (MAS)s with communication delay. The applied approximation method was initially developed for a class of infinite-dimensional homogeneous or-dinary linear Volterra difference systems. First, we extend this approximation to non-homogeneous systems. Second, based on this approximation, we have shown that discrete-time MAS with communication delay and small gains is asymptotically equivalent to a MAS without communication delay. We give an algorithm to compute the delay-free MAS model and we have analysed its properties. Simulations are presented to show the applicability of the proposed approximation approach.
针对具有通信延迟的离散多智能体系统(MAS),提出了一种新的逼近方法。应用近似方法最初是针对一类无限维齐次或二阶线性Volterra差分系统而提出的。首先,我们将这个近似推广到非齐次系统。其次,基于这个近似,我们已经证明了具有通信延迟和小增益的离散时间MAS与没有通信延迟的MAS渐近等效。给出了一种计算无延迟MAS模型的算法,并对其性质进行了分析。仿真结果表明了所提出的近似方法的适用性。
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引用次数: 0
A New Circular Intuitionistic Fuzzy MCDM: A Case of Covid-19 Medical Waste Landfill Site Evaluation 一种新的循环直觉模糊MCDM——以新冠肺炎医疗垃圾填埋场评价为例
Esra Çakır, M. Taş, Z. Ulukan
Since the beginning of the COVID-19 pandemic, the use of protective medical products has tremendously increased. The wastes generated by used products pose a threat to public health. Selection of alternative landfill sites to be determined for medical waste is a challenging task as there are several criteria to consider. Fuzzy multi-criteria decision making (MCDM) approaches can be employed to overcome this problem. In this study, the landfill sites evaluation for Covid-19 pandemic medical waste is investigated. Decision-makers give their judgments with intuitionistic fuzzy numbers and a novel circular intuitionistic fuzzy MCDM approach is developed for evaluating sites. As a contribution to the literature, this study extends the usage of circular intuitionistic fuzzy sets (C-IFS) in MCDM approaches by proposing defuzzification functions. The application of the proposed method is intended to guide future C-IFS MCDM methodologies.
自2019冠状病毒病大流行开始以来,保护性医疗产品的使用大幅增加。使用过的产品产生的废物对公众健康构成威胁。为医疗废物选择可供选择的填埋地点是一项具有挑战性的任务,因为需要考虑若干标准。模糊多准则决策(MCDM)方法可以克服这一问题。本研究对新冠肺炎大流行医疗废弃物的填埋场评价进行了研究。决策者利用直觉模糊数进行决策,提出了一种新的环形直觉模糊MCDM方法。作为对文献的贡献,本研究通过提出去模糊化函数扩展了循环直觉模糊集(C-IFS)在MCDM方法中的使用。该方法的应用旨在指导未来的C-IFS MCDM方法。
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引用次数: 4
Style-transfer Autoencoder for Efficient Deep Voice Conversion 风格传输自动编码器为高效的深语音转换
Ilya Makarov, Denis Zuenko
We consider the problem of voice cloning, which is desirable in many film-related industries, and developed a new modification of the AutoVC state-of-the-art model in the task of voice conversion. We studied the replacement of recurrent modules with convolutional layers while maintaining the quality of the original model. The result of our work showed the speed improvement on longer voice tracks and faster training with the tiniest deterioration in sound quality, as evidenced by the reconstitution loss and Mel-cepstral distortion.
我们考虑到语音克隆的问题,这是许多电影相关行业所需要的,并开发了一个新的修改AutoVC最先进的模型在语音转换的任务。我们研究了用卷积层替换循环模,同时保持原始模型的质量。我们的研究结果表明,在较长的音轨和较快的训练中,速度有所提高,但音质却有最小的恶化,这可以从重建损失和梅尔-倒谱失真中得到证明。
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引用次数: 1
Monitoring 5G networks in Security Operation Center 在安全运营中心监控5G网络
M. Kecskés, Miklós Orsós, E. Kail, Anna Bánáti
5G mobile network is still a new technology in the telecommunication and this new technology brings new challenges into IT security. It is essential to capture, monitor and analyze the traffic of 5G networks. The 5G network is gaining more and more popularity in the different areas of the industry and everyday life. The diversity of this new technology raises new security challenges and new vulnerabilities. Currently 5G networks are not properly protected from malicious traffic. To protect their systems and networks, companies more widely set up Security Operations Centers (SOC) for monitoring and analyzing network traffic and events. However, there is no proper methodology yet to use SOC in 5G networks. In this paper, we study the possible methods of network monitoring focusing on the RAN, especially on Radio interface and end devices of 5G networks and search for potential extension solutions to our existing SOC.
5G移动网络仍然是电信领域的一项新技术,这项新技术给IT安全带来了新的挑战。捕获、监控和分析5G网络的流量至关重要。5G网络在工业和日常生活的不同领域越来越受欢迎。这种新技术的多样性带来了新的安全挑战和新的漏洞。目前,5G网络没有很好地防范恶意流量。为了保护他们的系统和网络,越来越多的公司建立了安全运营中心(SOC)来监控和分析网络流量和事件。然而,目前还没有合适的方法在5G网络中使用SOC。本文主要针对无线局域网,特别是5G网络的无线接口和终端设备,研究网络监控的可能方法,并寻找现有SOC的潜在扩展方案。
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引用次数: 1
Validation of a Self-developed Algorithm for Solving Inverse Problems on Resistance Networks 一种自行开发的求解阻力网络逆问题的算法的验证
Zoltán Vízvári, Nina Gyorfi, Mihaly Klinesik, Zoltan Sári, Attila Tóth, P. Odry
Due to its non-destructive nature research of Electrical Impedance Tomography (EIT) is still receiving a great deal of attention in many areas of application. The advantage of the method over density-based methods (e. g. acoustic, optical measurements, etc.) is that it also allows to deduce the chemical properties of the examined material. In this article, our research group examines a new approach on the implementation of the method. Consequently, by modeling the studied material, which can be considered as a continuum, as a linear network with concentrated parameters, we would like to determine the weights on the branches of the graph, i.e. the resistances in our article. After defining the mathematical model, we created a physical model in order to validate the self-developed algorithm. We used a precision measurement procedure to calculate the resistance values placed on the branches of the graph.
电阻抗层析成像(EIT)由于其非破坏性的特点,在许多领域的应用研究仍受到广泛的关注。该方法比基于密度的方法(如声学、光学测量等)的优点是,它还允许推断被检测材料的化学性质。在本文中,我们的研究小组研究了一种实现该方法的新方法。因此,通过将所研究的材料建模,可以将其视为一个连续体,作为一个具有集中参数的线性网络,我们想要确定图分支上的权重,即我们文章中的阻力。在定义了数学模型之后,我们创建了一个物理模型来验证我们自己开发的算法。我们使用了精确的测量程序来计算放置在图分支上的电阻值。
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引用次数: 0
Adaptive Online Opponent Game Policy Modeling with Association Rule Mining 基于关联规则挖掘的自适应在线对手博弈策略建模
Damijan Novak, Iztok Fister
Opponent modeling is a research aspect that needs close attention when facing an opponent in a complex game environment. Real-Time Strategy (RTS) games are a representative of one of the highest complex game environments. In RTS games, the players' tactical and strategical decisions need constant adaptation in order to win the game. In this work, a preliminary study is reported on opponent modeling in RTS games via the incorporation of association rule mining to identify game policies in online mode. Such insight into opponents' mode of operation should provide a player with vital information regarding choosing advantageous gameplay countermeasures against an opponent.
对手建模是在复杂游戏环境中面对对手时需要密切关注的一个研究方面。即时战略(RTS)游戏是最复杂的游戏环境之一的代表。在RTS游戏中,为了赢得游戏,玩家需要不断调整战术和战略决策。在这项工作中,通过结合关联规则挖掘来识别在线模式下的游戏策略,对RTS游戏中的对手建模进行了初步研究。这种对对手操作模式的洞察将为玩家提供关于选择对抗对手的有利玩法对策的重要信息。
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引用次数: 2
Insights from a high-performance Open-Communication Framework for advanced industrial networks 先进工业网络高性能开放通信框架的见解
Ravi Sharma, B. Villányi
The Industrial Internet of Things (IIoT) is a network of smart industrial equipment that can connect with one another to improve the efficiency of industrial and manufacturing activities. When IIoT is applied to industrial settings and processes, it results in the creation of a smart manufacturing system, which consists of an intelligent network of industrial components that interact with each other to improve manufacturing and industrial process performance. To accelerate platform development, it is critical to select an appropriate industrial communication protocol. Recently, researchers have developed a number of Open-Communication Framework that can be utilized to design new smart manufacturing systems. Furthermore, the cost of utilizing communication platforms must be considered. Even if a company decides to build its own platform, the initial building costs are often substantial, as is the cost of updating and maintaining the platform on a regular basis. In this article, we will discuss the choices for an Open-Communication Framework for advanced manufacturing systems.
工业物联网(IIoT)是一个智能工业设备网络,可以相互连接以提高工业和制造活动的效率。当工业物联网应用于工业环境和过程时,它会导致智能制造系统的创建,该系统由相互交互的工业组件的智能网络组成,以提高制造和工业过程性能。为了加快平台的开发,选择合适的工业通信协议至关重要。最近,研究人员开发了许多开放通信框架,可用于设计新的智能制造系统。此外,还必须考虑使用通信平台的成本。即使一家公司决定构建自己的平台,最初的构建成本通常也是可观的,定期更新和维护平台的成本也是如此。在本文中,我们将讨论先进制造系统开放式通信框架的选择。
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引用次数: 3
Neural Networks Classification for Training of Five German Longsword Mastercuts - A Novel Application of Motion Capture: Analysis of Performance of Sword Fencing in the Historical European Martial Arts (HEMA) Domain 五种德国长剑主刀训练的神经网络分类——动作捕捉的一种新应用:历史欧洲武术(HEMA)领域剑击的表现分析
R. Klempous, Konrad Kluwak, Ito Atsushi, Tomasz Górski, J. Nikodem, Wojciech Bożejko, Z. Chaczko, Grzegorz Borowik, J. Rozenblit, Marek Kulbacki
This paper discusses an application of motion capture in longsword fencing, a discipline experiencing rising popularity since the 1990s. Historical European Martial Arts alliance focuses on re-enacting the Late Middle Ages and Renaissance fighting styles. To popularize this art, novel research to automatically distinguish selected sword cutting techniques has been conducted. The fencing knowledge required for conducting this research was based on publications and consultation with experts in the field, and recordings. For this research, different movements from Masterstrikes such as Zornhau (Strike of Wrath), Schielhau (Squinting Strike), Zwerchhau (Cross Strike), Krumphau (Crooked Strike), Scheitelhau (Crown Strike) were selected. Motions performed by an adept fencer (acting expert) were used as patterns of correct strikes and compared with the movements of fencing amateurs. The main goal of this research was to measure the precision of movement while performing five different fencing strokes. Each movement was recorded with 39 unique full-body plug-in gait configurations initially designed for medical applications. During the exercise, 16 EMG electrodes configuration was used for the measurement of muscle activity.
本文讨论了动作捕捉技术在20世纪90年代兴起的长剑击剑运动中的应用。历史上的欧洲武术联盟专注于重新制定中世纪晚期和文艺复兴时期的战斗风格。为了普及这门艺术,人们进行了一项新的研究,以自动识别选定的剑切技术。开展这项研究所需的击剑知识是基于出版物和咨询该领域的专家以及录音。在这项研究中,选择了来自大师打击的不同动作,如愤怒之击、斜视打击、交叉打击、弯曲打击、皇冠打击等。用熟练击剑运动员(表演专家)的动作作为正确击球的模式,并与业余击剑运动员的动作进行比较。这项研究的主要目的是测量在进行五种不同击剑动作时的运动精度。每个动作都记录了39种独特的全身插入式步态配置,最初是为医疗应用而设计的。在运动过程中,16个肌电图电极配置用于测量肌肉活动。
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引用次数: 0
The Meat Factory Cell: A new way of thinking for meat producers 肉类工厂细胞:肉类生产商的新思维方式
A. Mason, I. Esper, O. Korostynska, T. Haiddegger, A. Popov, L. B. Christensen, O. Alvseike
This paper presents the novel Meat Factory Cell (MFC) concept which is being developed in both semi- and fully-automated forms. The MFC provides several important opportunities for the red meat sector, including enhanced robustness, scalability and flexibility. Moreover, it is mindful of the need for small-medium meat processors requiring access to automation, which has proven uneconomical until now. The industry has renewed interest in such automation initiatives, particularly considering its need to improve resilience in the face of future global pandemics. The paper describes the progress of the MFC, as well as a rudimentary framework for realising the implementation. Finally, the paper discusses some of the major hurdles faced in the future.
本文提出了一种新型的肉类工厂细胞(MFC)概念,它正在以半自动和全自动的形式发展。MFC为红肉行业提供了几个重要的机会,包括增强的健壮性、可扩展性和灵活性。此外,它还注意到需要自动化的中小型肉类加工商的需求,到目前为止,这已被证明是不经济的。油气行业重新燃起了对此类自动化举措的兴趣,特别是考虑到其需要提高应对未来全球流行病的能力。本文描述了MFC的进展,以及实现MFC的基本框架。最后,本文讨论了未来面临的一些主要障碍。
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引用次数: 3
期刊
2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)
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