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应用数学与计算数学学报最新文献

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State of the art of machine learning: An overview of the past, current, and the future research trends in the era of quantum computing 机器学习的艺术现状:量子计算时代过去、现在和未来研究趋势的概述
Pub Date : 2022-01-01 DOI: 10.1063/5.0131848
M. I. Irawan, M. Jamhuri
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引用次数: 0
Implementation of a genetic algorithm method for stochastic model of COVID-19 in Indonesia 基于遗传算法的新冠肺炎随机模型在印度尼西亚的实施
Pub Date : 2022-01-01 DOI: 10.1063/5.0115137
Aldi EW. Widianto, A. Hakam, S. D. Surjanto, E. R. Putri
COVID-19 is an infectious disease that has spread to countries in the world, including Indonesia. A stochastic SIR model was constructed to represent the spreading of COVID-19. One of the popular methods in a heuristic search and optimization algorithm, a genetic algorithm method, is implemented to estimate the parameters of the SIR stochastic model. As a result, using the parameters obtained, the stochastic SIR model can be in line with the actual data, and we get accurate predictions within four weeks later. © 2022 Author(s).
COVID-19是一种传染病,已经蔓延到包括印度尼西亚在内的世界各国。构建了一个随机SIR模型来表示COVID-19的传播。在启发式搜索和优化算法中,采用遗传算法对SIR随机模型的参数进行估计。因此,利用得到的参数,随机SIR模型可以与实际数据相符合,并在4周内得到准确的预测。©2022作者。
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引用次数: 0
Traffic flow models with two kinds of vehicles in terms of the vector-valued cellular automata and their fuzzification 基于向量值元胞自动机及其模糊化的两类车辆交通流模型
Pub Date : 2022-01-01 DOI: 10.1063/5.0114966
Yuki Nishida, Sennosuke Watanabe, A. Fukuda, Yoshihide Watanabe
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引用次数: 0
Application of generalized space time autoregressive (GSTAR) model to predict positive case number of COVID-19 广义时空自回归(GSTAR)模型在新冠肺炎阳性病例数预测中的应用
Pub Date : 2022-01-01 DOI: 10.1063/5.0115110
Adinda Oktaviani, Laksmi Prita Wardhani, N. Wahyuningsih
Corona Virus Disease 2019 (COVID-19) is a new virus that can be contagious and its worst effects can lead to death. COVID-19 first appeared in Wuhan, China until it finally spread throughout the country, one of which is Indonesia. The spread of COVID-19 cases in Indonesia itself is quite rapid until finally the World Health Organization (WHO) designates COVID-19 cases as pandemics. Based on current conditions, this paper discuss about predict positive case data of COVID-19 at five locations in East Java (Malang City, Batu City, Pasuruan Regency, Malang Regency, Pasuruan City) using a space-time model namely Generalized Space-Time Autoregressive (GSTAR). Considering that COVID-19 is very easy to spread not only depending on the time but also the proximity between locations, the GSTAR method is good enough to be used to predict the assumption of parameters between heterogeneous locations. The estimation used is OLS with the location weight of cross-correlation normalization. The results of this study obtained the GSTAR(21)-OLS model is the best model to predict the number of positive cases of COVID-19 in.five locations in East Java by weighting the normalization of cross-correlation based on the smallest RMSE value in data out sample. Forecast results for the next 10 days of positive cases of COVID-19 in.all five locations show not very significant changes. © 2022 Author(s).
2019冠状病毒病(COVID-19)是一种可传染的新病毒,其最严重的影响可导致死亡。COVID-19首先出现在中国武汉,直到最终蔓延到全国,其中一个是印度尼西亚。COVID-19病例在印度尼西亚本身的传播相当迅速,直到世界卫生组织(世卫组织)最终将COVID-19病例指定为大流行。本文基于现状,利用广义时空自回归(GSTAR)时空模型对东爪哇5个地点(玛琅市、拔都市、巴素然县、玛琅县、巴素然市)的COVID-19阳性病例数据进行预测。考虑到COVID-19不仅受时间的影响,而且地点之间的距离也很容易传播,GSTAR方法可以很好地预测异质地点之间的参数假设。使用的估计是具有互相关归一化的位置权重的OLS。本研究结果得出GSTAR(21)-OLS模型是预测2019冠状病毒病阳性病例数的最佳模型。通过基于数据样本中最小RMSE值的互相关归一化加权,在东爪哇的五个地点。未来10天2019冠状病毒病阳性病例的预测结果。这五个地点的变化都不大。©2022作者。
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引用次数: 0
Huntington's Disease: Mechanisms of pathogenesis and therapies 亨廷顿舞蹈病:发病机制和治疗
Pub Date : 2022-01-01 DOI: 10.1063/5.0113459
Qianqian Zheng
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引用次数: 0
Development of GelMA ink for multi-scale biological 3D printing 用于多尺度生物3D打印的GelMA墨水的研制
Pub Date : 2022-01-01 DOI: 10.1063/5.0123152
Shuran Yang, Qifeng Yang
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引用次数: 0
A mathematical model for the spread of COVID-19 with unmonitored individual asymptomatic, vaccinations and returning home 无症状个体、接种疫苗和返家感染COVID-19的数学模型
Pub Date : 2022-01-01 DOI: 10.1063/5.0115068
Hariyanto, C. Imron, S. Wahyudi, Nur Asiyah
This paper presents a mathematical model based on the influence of unmonitored asymptomatic individuals, vaccinations and individuals returning home to the spread of COVID 19. The concept used is that individual populations moves in 3 regions with each region having 1 interface or 1 connecting route. Individual movement is expressed by a weight function which in modeling use the Kernel density function in the normal group. The mathematical model obtained is in the form of a System of Integro-Partial Differential Equations consisting of 3 regional sub-models and an entire regional system model. Leipzig constant analysis was carried out in order to obtain model validation that was suitable for the phenomenon that occurred. © 2022 Author(s).
本文建立了基于未监测无症状个体、疫苗接种和返乡个体对COVID - 19传播影响的数学模型。使用的概念是,个体人口在3个区域移动,每个区域有一个接口或一条连接路线。个体的运动用权函数表示,在建模中使用正态群的核密度函数。得到的数学模型是由3个区域子模型和一个完整的区域系统模型组成的积分-偏微分方程组。为了获得适合所发生现象的模型验证,进行了莱比锡常数分析。©2022作者。
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引用次数: 0
Automatic Guided Vehicle (AGV) tracking model estimation with Ensemble Kalman Filter 基于集成卡尔曼滤波的AGV跟踪模型估计
Pub Date : 2022-01-01 DOI: 10.1063/5.0118817
Belgis Ainatul Iza, Qori Afiata Fiddina, H. N. Fadhilah, D. K. Arif, Mardlijah
{"title":"Automatic Guided Vehicle (AGV) tracking model estimation with Ensemble Kalman Filter","authors":"Belgis Ainatul Iza, Qori Afiata Fiddina, H. N. Fadhilah, D. K. Arif, Mardlijah","doi":"10.1063/5.0118817","DOIUrl":"https://doi.org/10.1063/5.0118817","url":null,"abstract":"","PeriodicalId":56955,"journal":{"name":"应用数学与计算数学学报","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84228794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Risk analysis on agricultural commodity portfolio using Value at Risk (VaR) and Expected Shortfall (ES) based on ARIMA-GARCH 基于ARIMA-GARCH的风险价值和预期缺口风险分析
Pub Date : 2022-01-01 DOI: 10.1063/5.0115885
Ulil Azmi, Galuh Oktavia Siswono, Wawan Hafid Syaifudin, Wisnowan Hendy Saputra, Putu Maharani Anggun Ningtyas
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引用次数: 1
Two important drugs to treat insomnia: Zolpidem & ramelteon 治疗失眠的两种重要药物:唑吡坦和拉美替宁
Pub Date : 2022-01-01 DOI: 10.1063/5.0120644
Haoyue Li
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引用次数: 0
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应用数学与计算数学学报
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