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International Journal of Modeling and Optimization最新文献

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Research on the Value Chain as a Strategic Management Tool for the Digital Enterprise 价值链作为数字化企业战略管理工具的研究
Pub Date : 2021-11-01 DOI: 10.7763/IJMO.2021.V11.788
S. Istriteanu, Bucharest Romania Measurement Technique Incdmtm, G. Gheorghe
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引用次数: 1
Simulation and Analysis of Coal Mine Safety Escape Routes Based on a Multi-agent Model 基于多智能体模型的煤矿安全逃生路线仿真分析
Pub Date : 2021-11-01 DOI: 10.7763/IJMO.2021.V11.785
Pan Lihu, Lu Feiping, Zhou Yaohui, Qin Shipeng
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引用次数: 0
Adaptive Radial Basis Function Neural Network Controller for Autonomous Multirotors 自主多旋翼自适应径向基函数神经网络控制器
Pub Date : 2021-11-01 DOI: 10.7763/IJMO.2021.V11.787
A. Banazadeh, Ardalan Samadzadeh
—Limits in the real-time computation of micro-processors on the one hand and high-level controllers that need precise computation in addition to implementation and compiling issues, on the other hand, have caused a great gap between control science and experiments. In this work, an adaptive RBF neural network controller is proposed to control the position and attitude of an autonomous multirotor. The controller is combined with an EKF observer and simulated in real-time flight conditions. In order to check the capabilities of the system, the proposed structure has been successfully applied to a quadrotor and a hexarotor using three data types for getting similar real-time flight results. Based on the results, the proposed structure has accomplished two separate missions with different scenarios, though there exists some error, especially in position estimations which are caused by step-wise characteristics of the desired path.
-一方面微处理器在实时计算方面的限制,另一方面高级控制器除了实现和编译问题外,还需要精确的计算,这使得控制科学与实验之间存在很大的差距。本文提出了一种自适应RBF神经网络控制器来控制自主多旋翼的位置和姿态。控制器与EKF观测器相结合,在实时飞行条件下进行仿真。为了检查系统的能力,所提出的结构已成功地应用于四旋翼和六旋翼使用三种数据类型获得类似的实时飞行结果。结果表明,该结构在不同情况下完成了两个独立的任务,但存在一定的误差,特别是在位置估计方面,这是由期望路径的阶跃特性引起的。
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引用次数: 0
New approach for Secant Update generalized version of PSB 割线更新PSB广义版的新方法
Pub Date : 2021-11-01 DOI: 10.7763/IJMO.2021.V11.786
Nicolas Boutet, R. Haelterman, J. Degroote
Working with Quasi-Newton methods in optimization leads to one important challenge, being to find an estimate of the Hessian matrix as close as possible to the real matrix. While multisecant methods are regularly used to solve root finding problems, they have been little explored in optimization because the symmetry property of the Hessian matrix estimation is generally not compatible with the multisecant property. In this paper, we propose a solution to apply multisecant methods to optimization problems. Starting from the Powell-Symmetric-Broyden (PSB) update formula and adding pieces of information from the previous steps of the optimization path, we want to develop a new update formula for the estimate of the Hessian. A multisecant version of PSB is, however, generally mathematically impossible to build. For that reason, we provide a formula that satisfies the symmetry and is as close as possible to satisfy the multisecant condition and vice versa for a second formula. Subsequently, we add enforcement of the last secant equation to the symmetric formula and present a comparison between the different methods.
使用准牛顿方法进行优化会导致一个重要的挑战,即找到尽可能接近实际矩阵的Hessian矩阵的估计。虽然多次割线方法通常用于求解寻根问题,但由于Hessian矩阵估计的对称性通常与多次割线性质不兼容,因此在优化方面的探索很少。在本文中,我们提出了一种将多重割线方法应用于优化问题的解决方案。从Powell-Symmetric-Broyden (PSB)更新公式出发,加入优化路径前面步骤的信息,我们想要开发一个新的更新公式来估计Hessian。然而,PSB的多割线版本通常在数学上是不可能构建的。出于这个原因,我们提供了一个公式,它满足对称性,并尽可能地满足多重割线条件,反之亦然,对于第二个公式。随后,我们在对称公式中加入了最后一个正割方程的执行,并对不同方法进行了比较。
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引用次数: 0
Modeling and Controlling the Cooling System of an IC Vehicle 集成电路车辆冷却系统的建模与控制
Pub Date : 2021-08-01 DOI: 10.7763/IJMO.2021.V11.782
C. Mureșan, G. Harja
The performance and efficiency of internal combustion (IC) engines can be greatly improved by using a high-performance cooling system. This can be achieved by implementing robust control strategies and, also by building the cooling system with high-performance elements. The mechanical execution elements can be replaced with electrically controllable elements such as the pump and the thermostat valve. This will have a positive influence on the degree of controllability of the system. In order to develop highperformance control algorithms, it is necessary to have a model that best reflects the behaviors of the physical system. Thus, this paper presents a mathematical modeling approach for the cooling system using the principles of heat exchangers and the physical phenomena present in them.
采用高性能的冷却系统可以大大提高内燃机的性能和效率。这可以通过实施稳健的控制策略来实现,也可以通过使用高性能元件构建冷却系统来实现。所述机械执行元件可由泵和恒温阀等电控元件代替。这将对系统的可控性程度产生积极影响。为了开发高性能的控制算法,有必要有一个最能反映物理系统行为的模型。因此,本文提出了一种利用热交换器原理和其中存在的物理现象对冷却系统进行数学建模的方法。
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引用次数: 1
Analysis and Prediction of Trough Track Superelevation Based on Big Data 基于大数据的槽道超高程分析与预测
Pub Date : 2021-08-01 DOI: 10.7763/IJMO.2021.V11.781
Huang Jiabin, Zhichao He, Chen Li, Hongru Fan, Yi Yin, Xie Yongjun
The detection of the safety status of urban rail transit is an important part of ensuring the operation of the rail. Using the data detected by the rail to analyze and predict the quality of the rail is very important for the research of rail inspection. Based on the existing research, this paper uses big data to analyze the collected superelevation data, and builds a trough-track superelevation big data prediction model based on the combination of the stochastic oscillation sequence gray model and ALO-Elman network to analyze the historical superelevation data and mine information about superelevation trends. In this paper, the average value of superelevation data of the equal-spaced groove track in a certain interval is collected for verification. The experimental results show that the method can reasonably predict the change trend of the ultra-elevation. The change trend is basically in line with the original data change trend, and the deviation is controlled to be small within range.
城市轨道交通安全状态检测是保障轨道交通正常运行的重要环节。利用钢轨检测到的数据对钢轨质量进行分析和预测,对于钢轨检测的研究具有十分重要的意义。本文在已有研究的基础上,利用大数据对采集到的高程数据进行分析,建立了基于随机振荡序列灰色模型和ALO-Elman网络相结合的槽道高程大数据预测模型,对历史高程数据进行分析,挖掘高程趋势信息。本文采集等间距槽道在一定间隔内的超高程数据平均值进行验证。实验结果表明,该方法能合理地预测超高程的变化趋势。变化趋势与原始数据变化趋势基本一致,偏差控制在范围内较小。
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引用次数: 0
Research on the Technology of Mass Customization of Clothing 服装大规模定制技术研究
Pub Date : 2021-08-01 DOI: 10.7763/IJMO.2021.V11.783
Qianqian Sun, Xiaodong Sun
The COVID-19 pandemic challenged the garment industry dramatically which will accelerate the garment industry to turn to technology of mass customization for it offers digital online options. This paper reviews the mass customization technology of clothing from the aspects of intelligent pattern-making technology, virtual garment prototype technology and the evaluation of apparel fitness. By surveying the technologies in order to establish a ground true rules for the mass customization platform so that suitable for all clothing categories, and the pattern-making standards which could fit different body types. And finally, by experiments of different digital garment prototype on different body types to establish the rules for generating virtual prototype and evaluated fitness of virtual garment on different body types.
新冠肺炎疫情给服装行业带来了巨大挑战,这将加速服装行业转向大规模定制技术,因为它提供了数字化的在线选择。本文从智能制版技术、虚拟服装原型技术和服装适应性评价等方面对服装大规模定制技术进行了综述。通过对技术的考察,建立适合所有服装品类的大规模定制平台的基本规则,以及适合不同体型的制版标准。最后,通过不同数字服装样机在不同体型上的实验,建立虚拟样机的生成规则,并对虚拟服装在不同体型上的适合度进行评价。
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引用次数: 1
Web Application for Statistical Tracking and Predicting the Evolution of Active Cases with the Novel Coronavirus (SARS-CoV-2) 新型冠状病毒(SARS-CoV-2)活跃病例演变统计跟踪与预测Web应用
Pub Date : 2021-08-01 DOI: 10.7763/IJMO.2021.V11.780
I. Clitan, A. Puscasiu, V. Muresan, M. Ungureșan, M. Abrudean
Since February 2020, when the first case of infection with SARS COV-2 virus appeared in Romania, the evolution of COVID-19 pandemic continues to have an ascending allure, reaching in September 2020 a second wave of infections as expected. In order to understand the evolution and spread of this disease over time and space, more and more research is focused on obtaining mathematical models that are able to predict the evolution of active cases based on different scenarios and taking into account the numerous inputs that influence the spread of this infection. This paper presents a web responsive application that allows the end user to analyze the evolution of the pandemic in Romania, graphically, and that incorporates, unlike other COVID-19 statistical applications, a prediction of active cases evolution. The prediction is based on a neural network mathematical model, described from the architectural point of view.
自2020年2月罗马尼亚出现第一例SARS - COV-2病毒感染病例以来,COVID-19大流行的演变继续具有上升的吸引力,如预期的那样在2020年9月达到第二波感染。为了了解这种疾病随时间和空间的演变和传播,越来越多的研究集中在获得能够基于不同情景预测活跃病例演变的数学模型上,并考虑到影响这种感染传播的众多输入。本文介绍了一个web响应式应用程序,该应用程序允许最终用户以图形方式分析罗马尼亚大流行的演变,并且与其他COVID-19统计应用程序不同,该应用程序包含对活跃病例演变的预测。该预测基于神经网络数学模型,从体系结构的角度进行描述。
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引用次数: 1
A Branching Process Model for the Novel Coronavirus (Covid-19) Spread in Greece 新型冠状病毒(Covid-19)在希腊传播的分支过程模型
Pub Date : 2021-08-01 DOI: 10.7763/IJMO.2021.V11.779
Ioanna A. Mitrofani, V. Koutras
The novel coronavirus (covid-19) was initially identified at the end of 2019 and caused a global health care crisis. The increased transmissibility of the virus, that led to high mortality, raises the interest of scientists worldwide. Thus, various methods and models have been extensively discussed, so to study and control covid-19 transmission. Mathematical modeling constitutes an important tool to estimate key parameters of the transmission and predict the dynamic of the virus. More precisely, in the relevant literature, epidemiology is considered as a classical application area of branching processes, which are stochastic individual-based processes. In this paper, we develop a classical Galton-Watson branching process approach for the covid-19 spread in Greece at the early stage. This approach is structured in two parts, initial and latter transmission stages, so to provide a comprehensive view of the virus spread through basic and effective reproduction numbers respectively, along with the probability of an outbreak. Additionally, the effectiveness of control measures is discussed, based on a simple exponential smoothing model, which is used to build a non-mitigation scenario. Finally, our primary aim is to model all transmission stages through branching processes in order to analyze the first semiannual spread of the ongoing coronavirus pandemic in the region of Greece.
新型冠状病毒(covid-19)最初于2019年底被发现,并引发了全球卫生保健危机。该病毒的传播能力增强,导致了高死亡率,这引起了全世界科学家的兴趣。因此,各种方法和模型被广泛讨论,以研究和控制covid-19的传播。数学建模是估计病毒传播关键参数和预测病毒动态的重要工具。更准确地说,在相关文献中,流行病学被认为是分支过程的经典应用领域,分支过程是基于个体的随机过程。在本文中,我们开发了一种经典的高尔顿-沃森分支过程方法,用于分析希腊早期的covid-19传播。这种方法分为两部分,即最初和后期传播阶段,以便分别通过基本繁殖数和有效繁殖数,以及爆发的可能性,全面了解病毒的传播情况。此外,基于一个简单的指数平滑模型,讨论了控制措施的有效性,该模型用于构建非缓解情景。最后,我们的主要目标是通过分支过程对所有传播阶段进行建模,以分析希腊地区正在进行的冠状病毒大流行的第一次半年传播。
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引用次数: 1
Continuously Variable Transmission Vehicle Modeling and Control Algorithm Considering Fuel Efficiency and Driveline Efficiency 考虑燃油效率和传动系统效率的无级变速器车辆建模与控制算法
Pub Date : 2021-05-01 DOI: 10.7763/IJMO.2021.V11.777
D. Cotoros, Brasov Romania Environment, A. Stanciu, Alexandra Hutini
The device presented in this paper was designed in order to give a hand to the deaf-mute community, by helping them to reintegrate in the society, using the modern technologies. We aim at manufacturing an intelligent glove based on the use of sensors in order to obtain a communication bridge with a decent speech level between the persons suffering hearing loss and the persons with normal hearing. The development and design of the glove represents an endeavor that aims at obtaining pertinent data from fingers’ motion. The prototype functionality can be easily compared with gloves for virtual applications as they work on the same principle, namely sensory activity and test subjects will verify the concept objectives.
本文提出的装置是为了帮助聋哑人社区,帮助他们重新融入社会,利用现代技术。我们的目标是制造一种基于传感器的智能手套,以便在听力损失的人和听力正常的人之间获得一个体面的语言水平的沟通桥梁。手套的开发和设计代表了一种旨在从手指的运动中获取相关数据的努力。原型功能可以很容易地与虚拟应用中的手套进行比较,因为它们基于相同的原理工作,即感官活动和测试对象将验证概念目标。
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引用次数: 0
期刊
International Journal of Modeling and Optimization
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