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2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献

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An Algorithm for Concurrent Use of Quantum Simulators and Computers in the Context of Subgraph Isomorphism 子图同构环境下量子模拟器与计算机并行使用的算法
Radu-Iulian Gheorghica
Quantum computers represent the new generation of computing. But despite this, they have a limit which consists of the number of qubits, or quantum bits, that each computer has at its disposal. The purpose of this research is the ability to use multiple quantum simulators and computers in order to achieve calculations made by a unified number of qubits. The design for this algorithm makes use of parallel and distributed programming. The key results are amplified amplitudes obtained for large quantum circuits that would otherwise be impossible to execute on a single quantum computer whose available number of qubits is exceeded by the one of such circuits. Thus the algorithm presented in the current paper has been designed and tested, showing favorable results. A 25 qubit circuit was used for the test cases. It was partitioned in multiple smaller circuits that were sent for execution from a laptop, directly to the quantum devices. The circuit number of qubits can be increased as considered necessary by the user.
量子计算机代表了新一代的计算技术。但尽管如此,它们还是有一个限制,这是由每台计算机可以使用的量子比特的数量组成的。这项研究的目的是能够使用多个量子模拟器和计算机来实现由统一数量的量子比特进行的计算。该算法的设计采用了并行和分布式编程。关键的结果是为大型量子电路获得的放大幅度,否则在单个量子计算机上执行是不可能的,因为单个量子计算机的可用量子比特数超过了其中一个这样的电路。因此,本文提出的算法已经进行了设计和测试,取得了良好的效果。测试用例使用了25量子位电路。它被分割成多个较小的电路,由笔记本电脑直接发送到量子设备。量子比特的电路数量可以根据用户的需要增加。
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引用次数: 0
Evaluation of Industry 4.0 familiarity at SMEs in Central-Eastern Europe using Machine Learning Algorithms 使用机器学习算法评估中东欧中小企业对工业4.0的熟悉程度
A. Tick
Familiarity with Industry 4.0 (I4.0) and its components is inevitable in business development, since it supports digitalization among the various sectors of businesses SMEs in Central-Eastern Europe, namely in the V4 countries, Serbia and Bulgaria have been surveyed; how familiar they are with I4.0 and its components. This paper presents how machine learning (ML) methods, namely supervised algorithms help to determine which I4.0 components contribute positively to SMEs’ familiarity with I4.0 and which of them contradict to its familiarity. The ML algorithm Vector Support Machine (VSM) and Neural Network (NN) proved to be the most accurate methods to predict the familiarity with I4.0 based on its components while Decision Tree (DT) gave the highest precision and specificity rates, therefore, the predictions of these three methods are compared. The results imply that Cloud Computing Services, Big Data analysis, VR and 3D Printing and Robotics do not contribute to the familiarity with I4.0 as much as expected. SMEs need further information on I4.0 developments, especially on its components’ beneficial impact on business performance and operations.
熟悉工业4.0 (I4.0)及其组成部分在业务发展中是不可避免的,因为它支持企业各个部门的数字化,中东欧的中小企业,即V4国家,塞尔维亚和保加利亚进行了调查;他们对工业4.0及其组件的熟悉程度。本文介绍了机器学习(ML)方法,即监督算法如何帮助确定哪些工业4.0组件有助于中小企业熟悉工业4.0,哪些组件与熟悉工业4.0相矛盾。机器学习算法向量支持机(VSM)和神经网络(NN)被证明是最准确的方法来预测对I4.0的熟悉程度,而决策树(DT)给出了最高的精度和特异性率,因此,比较了这三种方法的预测。结果表明,云计算服务、大数据分析、VR、3D打印和机器人技术并没有像预期的那样有助于人们熟悉工业4.0。中小企业需要进一步了解工业4.0的发展,特别是其组件对业务绩效和运营的有益影响。
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引用次数: 0
Schrödinger-Maxwell differential inclusion system Schrödinger-Maxwell差动夹杂系统
Károly Szilák
The non-smooth Schrödinger-Maxwell system is examined on n-dimensional (3 ≤ n ≤ 5) Hadamard manifolds and Riemannian manifolds with non-negative Ricci curvature, respectively. Difficulties arise both by the non-compactness of the Riemannian manifolds and the presence of non-smooth terms.
对非光滑Schrödinger-Maxwell系统分别在n维(3≤n≤5)非负Ricci曲率的Hadamard流形和riemanan流形上进行了研究。黎曼流形的非紧性和非光滑项的存在引起了困难。
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引用次数: 0
On the Possibility of Using Tree Inventories in Determining Allergic Trees in Hungary, Based on Data of Szeged and Miskolc 基于seeged和Miskolc数据的树木清单测定匈牙利过敏树木的可能性
T. Z. Zakota, Zoltan Zakota, J. Fogarasi
In the countries of the European Union, great importance is attached to urban trees, especially to indoor and outdoor treelines, parks and forests. They are considered both an object of the living world, a landscape element, and at the same time a tool against environment harms. Nowadays, 29.1% of the member states’ population lives in rural areas, 39.3% in cities and 31.6% in towns and suburbs. Spreading constructions, extreme weather, rising summer temperatures, and urban heat islands have increased the value of urban green spaces, especially trees that provide shade and reduce air dryness. More and more cities are beginning to realize that urban trees are a value that they must take seriously, which have a positive amortization that is incomprehensible to an average accountant. In Hungary, local governments are required by law to manage their property responsibly, which means that the locality must have a tree inventory. The improvement of the situation is facilitated by the fact that more and more municipalities do regard green areas as infrastructure. In the beginning of our long term research, we examine the status of the partial tree inventories of two settlements with urban status in Hungary: Miskolc and Szeged. We hope that the ongoing research will enable us to get a comprehensive picture of the currently used inventory forms and data recording methods, with which we can ease the situation of municipalities that do not yet have a wood register.
在欧洲联盟各国,非常重视城市树木,特别是室内和室外树木线、公园和森林。它们既是生活世界的对象,也是景观元素,同时也是对抗环境危害的工具。目前,成员国29.1%的人口居住在农村,39.3%居住在城市,31.6%居住在城镇和郊区。建筑扩张、极端天气、夏季气温上升和城市热岛增加了城市绿地的价值,尤其是提供遮荫和减少空气干燥的树木。越来越多的城市开始意识到城市树木是一个必须认真对待的价值,它有一个普通会计无法理解的正摊销。在匈牙利,法律要求地方政府负责任地管理他们的财产,这意味着当地必须有一个树木清单。越来越多的城市将绿地视为基础设施,这一事实促进了这种情况的改善。在我们长期研究的开始,我们研究了匈牙利两个具有城市地位的定居点:米什科尔茨和塞格德的部分树木库存状况。我们希望,正在进行的研究将使我们能够全面了解目前使用的盘存表和数据记录方法,从而能够缓解尚未建立木材登记册的市政当局的情况。
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引用次数: 0
The Most Important Hydro-Environmental Drivers Affecting Gully Erosion Occurrence Through Wrapper Methods 通过包裹法研究影响沟蚀发生的最重要的水环境驱动因素
B. Choubin, Omid Rahmati, Seyed Masoud Soleimanpour, S. Shadfar, Ahmad Najafi Igdir
This study aimed to draw connections between gully erosion occurrences and hydro-environmental factors in watershed areas that illustrate relationships. For this aim, feature elimination methods help diagnose the most key drivers. So, three Wrapper methods of Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), and Exhaustive Feature Selection (EFS) were taken to account for feature extraction, by considering the Random Forest model as an estimator. Considering the results of the models, the most important identified variables were aspect, drainage density, elevation, distance to road, landuse, and slope. The outcomes of this research procure insights for watershed managers to know how should face gully erosion.
本研究旨在找出流域沟沟侵蚀发生与水环境因子之间的联系。为了达到这个目的,特征消除方法有助于诊断最关键的驱动因素。因此,考虑随机森林模型作为估计器,采用顺序前向选择(SFS)、顺序后向选择(SBS)和穷举特征选择(EFS)三种包装方法进行特征提取。考虑到模型的结果,最重要的确定变量是坡向、排水密度、高程、与道路的距离、土地利用和坡度。本研究的结果为流域管理者了解应该如何面对沟壑侵蚀提供了见解。
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引用次数: 0
Novel Power Factor Correction Converter Scheme Allowing Bidirectional Power Flow 允许双向潮流的新型功率因数校正变换器方案
Mihaela-Codruta Ancuti, S. Musuroi, Alina Stingu, C. Lascu
The unidirectional Eight-Switch Power Factor Correction (PFC) converter (operating as a rectifier) was proposed in [1]. Starting from that topology, this paper introduces a novel topology allowing power to flow in both directions (operating as a converter or inverter). This was named the bidirectional Eight-Switch (BES) PFC converter. Performances of the proposed BES PFC converter are evaluated in this study based on simulation studies in Gecko environment. Its efficiency evaluation for a power value of a 2.5 kW is also provided. The grid current harmonic content is in accordance with IEC-6100-3/12 standard.
单向八开关功率因数校正(PFC)变换器(作为整流器工作)在[1]中被提出。从该拓扑开始,本文介绍了一种新的拓扑结构,允许功率在两个方向上流动(作为转换器或逆变器运行)。这被命名为双向八开关(BES) PFC转换器。本文通过在壁虎环境下的仿真研究,对所提出的BES PFC变换器的性能进行了评价。给出了其在功率值为2.5 kW时的效率评价。电网电流谐波含量符合IEC-6100-3/12标准。
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引用次数: 0
Using Weka API for creating a custom classification application 使用Weka API创建自定义分类应用程序
R. Robu, Paul Arseni-Ailoi, D. Ungureanu-Anghel
In real world applications, classification models can be built by repeatedly going through the steps of data preprocessing, building classification models with different dedicated algorithms, testing the resulted models, until building a good enough classification model is achieved. The model built in this way can be used in order to perform predictions on new data, with a degree of trust resulted by testing the model. All the operations described above can be done with Weka, which is a very powerful machine learning tool. The authors consider that after going through the previous steps, for many real world applications, it would be beneficial to go through a supplementary step, of developing a custom application for data classification, specific to the realized study. The proposed application will use the Weka API, which will allow it to rebuild the selected classification model, save and load it in/from a binary file and then make predictions with the help of a user interface perfectly adapted to the data set used. The proposed application makes it easier to make predictions for a final beneficiary. The paper presents how such a custom classification application can be developed, using the Weka API and Java programming language. In order to validate the proposed solution, the authors have built a custom application for the classification of data of patients who may have heart diseases, starting from the Cleveland heart disease data set, obtained from the UCI Machine Learning Repository. The proposed application allows saving and loading the classification model through serialization and deserialization, so that building it in order to make predictions is necessary only once.
在实际应用中,分类模型的构建可以反复经历以下步骤:数据预处理、使用不同的专用算法构建分类模型、测试生成的模型,直到构建一个足够好的分类模型。以这种方式建立的模型可以用于对新数据进行预测,并通过测试模型获得一定程度的信任。上面描述的所有操作都可以用Weka完成,它是一个非常强大的机器学习工具。作者认为,在经历了前面的步骤之后,对于许多现实世界的应用来说,通过一个补充步骤,开发一个定制的数据分类应用程序,针对所实现的研究,将是有益的。建议的应用程序将使用Weka API,这将允许它重建所选的分类模型,将其保存并从二进制文件中加载,然后在完全适应所使用数据集的用户界面的帮助下进行预测。拟议的应用程序使预测最终受益人变得更加容易。本文介绍了如何使用Weka API和Java编程语言开发这样一个自定义分类应用程序。为了验证提出的解决方案,作者构建了一个自定义应用程序,用于对可能患有心脏病的患者的数据进行分类,从从UCI机器学习存储库获得的克利夫兰心脏病数据集开始。所建议的应用程序允许通过序列化和反序列化保存和加载分类模型,因此为了进行预测而构建它只需要一次。
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引用次数: 0
Human Circadian Rhythm Friendly Adaptive Spectrum Wake-up Clock Lighting 人类昼夜节律友好自适应频谱唤醒时钟照明
Bertalan Beszédes
This paper aimed to show the theoretical background, the methodology and a practical realization of a spectrum optimized alarm clock that simulates a sunrise, for a more pleasant awakening. The shown internal light source is a surface mount RGBW led strip for supplementary lighting, due to the placement, the light is scattered light reflected from the surface. The article describes the relationship between the system hardware and software components, also dealing with design possibilities. The proposed methods and solutions are well applicable in other real-life applications.
本文旨在展示模拟日出的频谱优化闹钟的理论背景,方法和实际实现,以实现更愉快的醒来。如图所示的内部光源为表面贴装的RGBW led灯条,用于辅助照明,由于放置位置,光是从表面反射的散射光。本文描述了系统硬件和软件组件之间的关系,并讨论了设计的可能性。所提出的方法和解决方案在其他实际应用中也很适用。
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引用次数: 0
The place and role of research, development and innovation activities in the life of domestic enterprises along business characteristics 研究、开发和创新活动在国内企业生活中的地位和作用沿袭企业经营特点
Ágnes Csiszárik-Kocsir, Oszkár Dobos
Research, development and innovation have long been a theme and a lifeline, but never has its importance been more central than in the 21st century. The changes brought about by a rapidly changing turbulent environment demand new and innovative solutions. All these changes have introduced new concepts such as agility, the importance of change management and even resilience. But innovation initiatives require more than usual the introduction of a project approach to management. The aim of this paper is to shed light on some aspects of project management in RDI projects, highlighting the importance and role of programme and portfolio management based on the results of a questionnaire survey conducted in 2022.
长期以来,研究、开发和创新一直是一个主题和生命线,但在21世纪,其重要性从未像今天这样突出。快速变化的动荡环境所带来的变化需要新的和创新的解决方案。所有这些变化都引入了新的概念,如敏捷性、变更管理的重要性,甚至是弹性。但创新举措比通常更需要引入项目管理方法。本文的目的是阐明RDI项目中项目管理的某些方面,强调基于2022年进行的问卷调查结果的项目和投资组合管理的重要性和作用。
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引用次数: 0
Modeling Road Roughness Through Vibration Analysis for Driving Quality and Extended Discussion on AI Potential 基于振动分析的路面不平度建模及其对AI潜力的拓展探讨
N. Karballaeezadeh, S. DanialMohammadzadeh, Mohammed Mudabbiruddin, Armin Hatami Rad
Driving quality is a concept that includes factors affecting the quality of a vehicle trip. Pavement damages, including roughness, has negative effects on travel comfort and driving quality. The vibration created in the car is one of the most important negative effects. In general, the main reasons for this type of vibration are: The mechanical structure of the vehicle and the surface roughness of the road. In short trips, the quality of driving is affected by safety and driving comfort indicators. While, in long-term trips, the threat to human health is also raised due to long-term vibration on the body. Therefore, it can be concluded that the evaluation of the driving quality and especially the impact of road surface roughness, which is responsible for the phenomenon of vibration, is a vital issue for pavement engineers. As the most common method of assessing road surface roughness, the IRI index is considered an essential element in the framework of this research due to its intrinsic relationship with the vehicle’s reaction. This study seeks to reconsider the IRI index according to the vibration created in the car during a trip. For this purpose, first, some pavement segments with certain roughness were defined. Then, with the help of ProVAL software, IRI values were calculated for them. After that, in the main part of the research, the defined pavement segments were made in the ADAMS software, and the vibration results were outputted when a passenger car passed over them. The results of the review and comparison of vibration data and IRI values showed that the IRI method contains an important problem: not fully covering the concept of passenger travel comfort and driving quality. Considering that the IRI index is an important and common factor in the decisions of pavement management systems around the world, this research confirms that this index needs important modifications to effectively include the concept of driving quality in roads’ maintenance and repair programs.
驾驶质量是一个概念,包括影响车辆旅行质量的因素。路面损伤,包括粗糙度,对出行舒适性和驾驶质量有负面影响。汽车产生的振动是最重要的负面影响之一。一般来说,造成这类振动的主要原因有:车辆的机械结构和道路的表面粗糙度。在短途旅行中,行车质量受安全和驾驶舒适性指标的影响。同时,在长途旅行中,由于车辆对人体的长期振动,也增加了对人体健康的威胁。由此可见,路面的行驶质量,特别是路面粗糙度对路面振动现象的影响,是路面工程人员面临的一个重要问题。IRI指数作为评估路面粗糙度的最常用方法,由于其与车辆反应的内在关系,因此被认为是本研究框架中的基本要素。这项研究试图根据旅行中汽车产生的振动来重新考虑IRI指数。为此,首先定义一些具有一定粗糙度的路面段。然后在ProVAL软件的帮助下,计算它们的IRI值。然后,在研究的主体部分,在ADAMS软件中定义路面段,并输出客车经过路面段时的振动结果。对振动数据和IRI值的回顾和比较结果表明,IRI方法存在一个重要问题:没有完全涵盖乘客出行舒适性和驾驶质量的概念。考虑到IRI指数是世界各地路面管理系统决策的重要和共同因素,本研究证实,该指数需要进行重大修改,以有效地将驾驶质量的概念纳入道路维护和维修计划。
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引用次数: 0
期刊
2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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