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The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)最新文献

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Adaptive deep neural network using genetics algorithms for solving linear and non-linear ordinary differential equations 利用遗传算法求解线性和非线性常微分方程的自适应深度神经网络
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092734
Pratama A. Danang, M. Bakar
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引用次数: 1
Linear and nonlinear panel ARDL models in examining the purchasing power parity theory 检验购买力平价理论的线性和非线性面板ARDL模型
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092680
N. M. Choji, S. Sek
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引用次数: 0
Machine learning-based dengue forecasting system for Irisan, Baguio city, Philippines 基于机器学习的菲律宾碧瑶市伊里桑登革热预测系统
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092930
Zanya Reubenne D. Omadlao, Johanna Marie A. Cabrales, Samuel Christian M. Cristobal, Margaret Vianey A. Dee, Jim Reinier V. Tadeo, Joseph Ludwin D. C. Marigmen, Romsto R. Pajarillo
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引用次数: 0
A knapsack optimization model for food basket during Covid-19 lockdown: A case study in Taman Semarak Tawau 新冠肺炎封城期间食品篮背包优化模型——以士马拉末斗湖为例
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092744
Zurasmira Hasanodin, Norazura Ahmad
The Malaysian government has implemented various strategies to break the chain of COVID-19-in the society, such as the implementation of enhanced movement control order (EMCO) in the red areas. To support the implementation of the government's strategy, food distribution to all families in the affected areas must be provided. In this paper, we demonstrate how the binary knapsack model can be utilized to help a non-governmental organization (NGO) in Tawau selects the food items to be filled in the food basket with maximum budget of RM100. A binary integer programming model that maximize the total weight of the food basket is developed and solved using Lingo 12.0. Two models were developed;i) the first model was developed solely based on the budget restriction, ii) the second model add in special condition as proposed by the NGO team. The first model produces optimal solution where the NGO team can prepare a basket of 31 kilograms with total cost of RM93. On the other hand, the second model provide a food basket with a higher cost of RM98 but the total weight remain unchanged. The knapsack approach used in this study may be useful for other organizations in decision making for item selection. © 2022 Author(s).
马来西亚政府在红色区域实施了加强行动管制令(EMCO)等，在社会上实施了打破新冠病毒链条的各种战略。为了支持政府战略的实施，必须向受灾地区的所有家庭分发食品。在本文中，我们展示了如何利用二元背包模型来帮助一个非政府组织(NGO)在Tawau选择食品项目，以RM100的最大预算填入食品篮子。建立了食品篮总重量最大化的二进制整数规划模型，并利用Lingo 12.0进行了求解。开发了两种模型，第一种模型是完全基于预算限制开发的，第二种模型是根据NGO团队提出的特殊条件添加的。第一个模型产生最优解决方案，非政府组织团队可以准备一个31公斤的篮子，总成本为RM93。另一方面，第二种模式提供了一个食品篮子，价格较高，为RM98，但总重量保持不变。本研究中所使用的背包方法，可能对其他组织的项目选择决策有用。©2022作者。
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引用次数: 0
Assessment of aquatic toxicology dataset using MLR 利用MLR评估水生毒理学数据集
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0094883
Azura Mat Yusof, S. A. Kamaruddin, N. Nasir, I. Zakarya
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引用次数: 0
Generic system dynamics model of zakat collection and microtakaful contribution for poor and needy asnaf category 穷人和有需要者的天课收集和微天课捐助的一般系统动力学模型
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092739
Arwin Idham Mohamad, Jafri Zulkepli, N. Z. Abidin
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引用次数: 0
Measuring rice farmers efficiency under deterministic and uncertainty situations: An enhanced slack-based DEA model 确定性与不确定性条件下水稻农户效率的测度:一个改进的基于松弛的DEA模型
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092800
Sahubar Ali Mohamed Nadhar Khan, Razamin Ramli, Md. Azizul Baten, Ruzelan Khalid
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引用次数: 0
Panel data methods that account for cross-sectional dependence in investigating the long-run theory of purchasing power parity for 16 developed countries 在调查16个发达国家的长期购买力平价理论时，考虑到横断面依赖性的面板数据方法
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092679
N. M. Choji, S. Sek
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引用次数: 0
Accuracy of the Rasch rating scale person estimates using maximum likelihood approach with skewed distributions: A Markov chain Monte Carlo simulation analysis 偏斜分布下使用最大似然方法的Rasch评定量表人估计的准确性:马尔科夫链蒙特卡罗模拟分析
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092759
Nurul Hafizah Azizan, Z. Mahmud, A. Rambli
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引用次数: 0
COVID-19 pandemic in Baguio city, Philippines: A spatio-temporal analysis 菲律宾碧瑶市COVID-19大流行:时空分析
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
Pub Date : 1900-01-01 DOI: 10.1063/5.0092722
Karen D. Taclay, Richard J. Taclay, Wilfredo T. Dizon, R. Addawe
This article explores the clustering of COVID-19 incidences in the City of Baguio using spatio-temporal analysis. The GIS maps of the cumulative incidence rates of 129 barangays of the city were investigated in the span of ten months from March 2020 to December 2020. A thorough investigation of the CIR in the city may contribute to proper formulation and or implementation of policies to lessen the growing number of COVID-19 cases in the city. The Moran's index was used to determine significant spatial autocorrelations on the CIR before undergoing hotspot analysis. The Getis-Ord Gi∗ and Local Moran's I of QGIS were used to determine hotspots and coldspots, confirmed through the cluster and outlier analysis, respectively. The months of October and November registered clustering patterns and hotspots. The increasing number of test kits available were also considered in the analysis of the increasing COVID-19 cases in the city. Moreover, results showed that most of the incidences occurred at the center of city, that is, the business districts where most people go. It was found that cluster distribution of COVID-19 with high CIR has less than 1% likelihood to be random for the months of October 2020 and November 2020. This implies that the barangays with high CIR are significantly clustered. Hence COVID-19 protocols such as social distancing must be strictly implemented. © 2022 Author(s).
本文采用时空分析方法对碧瑶市新冠肺炎疫情的聚类情况进行了探讨。对2020年3月至2020年12月10个月期间我市129个村的累计发病率GIS图进行了调查。对我市疫情情况进行彻底调查，有助于制定和/或实施适当的政策，以减少我市日益增加的新冠肺炎病例。在进行热点分析之前，使用Moran's指数确定CIR的显著空间自相关性。利用QGIS的Getis-Ord Gi∗和Local Moran's I分别通过聚类分析和离群分析确定热点和冷点。10月和11月出现了群集模式和热点。在分析该市不断增加的COVID-19病例时，也考虑了可用检测试剂盒数量的增加。此外，研究结果表明，大多数事故发生在城市中心，即人们最多去的商业区。研究发现，2020年10月和2020年11月，高CIR的COVID-19聚集性分布随机概率小于1%。这意味着高CIR的乡村明显聚集。因此，必须严格执行社交距离等COVID-19协议。©2022作者。
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引用次数: 0
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