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Logistic model for adherence to ministry of health protocols and guidelines by public transport vehicles in Kenya during covid-19 pandemic 在2019冠状病毒病大流行期间,肯尼亚公共交通车辆遵守卫生部协议和指南的Logistic模型
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.14456/easr.2022.10
K. C. Kiptum
To know whether a given public transport vehicle will observe COVID-19 Ministry of Health Protocols and Guidelines in Kenya, a logistic expression was developed based on gender, type of vehicle, distance covered and the possibility of contracting COVID-19 by passengers while on board a given vehicle. Data collection was done by use 112 questionnaires administered on line. The respondents were first year students attending online courses in Kenyan University. Results showed majority of the respondents (41%) used 8-seater vehicle to travel. As for the distance travelled, majority of the respondents (37.3%) covered less than 25 km to reach their home County Headquarters. Possibility of infection in 8-seater and 32-seater vehicle was concentrated in level 3 while that for 14-seater was concentrated in Level 4. For 45-seater and 63-seater vehicles the possibility of infection was in level 2. A model efficiency of 84.8% was found indicating that the model is good. The results of this study provided information on behaviour of public transport sector in Kenya. © 2022, Paulus Editora. All rights reserved.
为了解特定公共交通工具是否遵守肯尼亚卫生部COVID-19议定书和指南,根据性别、车辆类型、行驶距离以及乘客在特定车辆上感染COVID-19的可能性,开发了一个逻辑表达式。数据收集采用112份在线问卷。受访者是肯尼亚大学在线课程的一年级学生。调查结果显示,大部分受访者(41%)使用8座车辆出行。至于所走的距离,大多数受访者(37.3%)到达其家乡县总部的距离不到25公里。8座和32座车辆的感染可能性集中在3级,14座车辆的感染可能性集中在4级。45座和63座车辆的感染可能性为2级。模型效率为84.8%,表明该模型是良好的。这项研究的结果提供了有关肯尼亚公共交通部门行为的资料。©2022,Paulus Editora。版权所有。
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引用次数: 0
Disclosing fast moving consumer goods demand forecasting predictor using multi linear regression 利用多元线性回归揭示快速消费品需求预测预测
Q3 Engineering Pub Date : 2021-07-12 DOI: 10.14456/EASR.2021.64
F. Farizal, M. Dachyar, Zarahmaida Taurina, Yusuf Qaradhawi
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引用次数: 2
Evaluation of ground-based, daily, gridded precipitation products for Upper Benue River basin, Nigeria 尼日利亚贝努埃河上游流域地面、每日、网格降水产品的评估
Q3 Engineering Pub Date : 2021-06-01 DOI: 10.14456/EASR.2021.42
A. Salaudeen, A. Ismail, B. K. Adeogun, M. A. Ajibike, I. Zubairu
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引用次数: 4
Exploring determinants of travel-mode choice during the covid-19 pandemic outbreak: A case study of Islamabad, Pakistan 探索covid-19大流行期间旅行方式选择的决定因素:以巴基斯坦伊斯兰堡为例
Q3 Engineering Pub Date : 2021-01-01 DOI: 10.14456/easr.2021.43
S. M. R. Shah, S. Phandanouvong, A. Maqsoom, M. Rith, M. Piantanakulchai
The COVID-19 outbreak is changing the patterns in travel activity for key destinations. Travel behavior during the pandemic has not been investigated adequately, specifically in developing countries. A sound understanding of travel-mode choice determinants is needed to design interventions to slow down and prevent the spread of the COVID-19 disease. This study explores travel-mode choice determinants for three key destinations, the workplace, market, and hospital, in Islamabad, Pakistan, during the COVID-19 disease outbreak. This study used a primary dataset of 163 observations and applied the multinomial logit (MNL) regression to analyze it. The survey results highlighted that the proportion of public transport mode was marginal for the three key destinations because public transport was closed during the lockdown, except for the metro bus. The streamlined model estimation results implied that the familysize factor had no relationship with the travel-mode choice. Males were most likely to travel to the workplace and market by 2&3 wheelers and least likely to travel by car. Females, unemployed persons, and students are likely to stay at home. Married people were more likely than single people to travel to the workplace and hospital by car. Self-employed people and state officials/public servants were most likely to go to the market by car. People living in towns/rural areas and cities were likely to travel by motorcycle/rickshaw and car, respectively. People living farther than 5 km from the workplace were most likely to travel by car, followed by motorcycle. This study is important for designing strategies to curb the pandemic with sustainable mobility during the lockdown. © 2021, Paulus Editora. All rights reserved.
2019冠状病毒病疫情正在改变主要目的地的旅行活动模式。大流行期间的旅行行为尚未得到充分调查,特别是在发展中国家。需要充分了解旅行方式选择的决定因素,以设计干预措施,减缓和预防COVID-19疾病的传播。本研究探讨了2019冠状病毒病疫情期间巴基斯坦伊斯兰堡三个主要目的地(工作场所、市场和医院)的旅行模式选择决定因素。本研究使用163个观测数据的原始数据集,并应用多项logit (MNL)回归对其进行分析。调查结果显示,三个主要目的地的公共交通方式所占比例很小,因为在封锁期间,除了地铁公交车外,公共交通工具都关闭了。流线型模型估计结果表明,家庭规模因素与出行方式选择无关。男性最可能乘坐两、三轮车前往工作场所和市场,最不可能乘坐汽车。女性、失业者和学生很可能呆在家里。已婚人士比单身人士更有可能开车去上班和医院。自雇人士和国家官员/公务员乘坐汽车前往市场的可能性最大。居住在城镇/农村地区和城市的人可能分别乘坐摩托车/人力车和汽车。居住在距离工作地点5公里以上的人最可能开车出行,其次是骑摩托车。该研究对于设计在封锁期间以可持续流动性遏制大流行的策略具有重要意义。©2021,Paulus Editora。版权所有。
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引用次数: 1
Design of isolated IGBT driving and control circuits for an interleaved boost converter 交错升压变换器隔离IGBT驱动和控制电路的设计
Q3 Engineering Pub Date : 2021-01-01 DOI: 10.14456/EASR.2021.6
M. F. Mohammed, A. Ahmad, A. T. Humod
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引用次数: 2
Creep behaviors of astm a36 welded joints astm a36焊接接头的蠕变行为
Q3 Engineering Pub Date : 2021-01-01 DOI: 10.14456/EASR.2021.47
Pavaret Preedawiphat, N. Mahayotsanun, Keerati Sa-ngoen, M. Noipitak, P. Tuengsook, S. Sucharitpwatskul, K. Dohda
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引用次数: 1
Corrosion behavior of ca6nm in simulated geothermal brine highlighted by electrochemical impedance spectroscopy (Eis) 电化学阻抗谱(Eis)研究了ca6nm在模拟地热盐水中的腐蚀行为
Q3 Engineering Pub Date : 2021-01-01 DOI: 10.14456/EASR.2021.38
A. Nikitasari, E. Mabruri, R. Riastuti
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引用次数: 3
An integrated model of preventive maintenance and safety stock for a used production unit under leasing 基于租赁的二手生产单元预防性维护和安全库存的集成模型
Q3 Engineering Pub Date : 2021-01-01 DOI: 10.14456/EASR.2021.48
Thanawath Niyamosoth, K. Yoshimoto, S. Ohmori, P. Sureeyatanapas, S. Arunyanart, T. Nakrachata-Amon
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引用次数: 1
Predictive models for the number of cumulative cases for spreading coronavirus disease 2019 in the world 2019冠状病毒病在全球传播的累积病例数预测模型
Q3 Engineering Pub Date : 2021-01-01 DOI: 10.14456/easr.2021.46
R. Sunthornwat, Y. Areepong
The coronavirus disease outbreak in 2019 (COVID-19) has caused major economic and healthcare problems worldwide. At this time, the worldwide outbreak has passed its peak, while the greatest number of cases has been in the USA, Brazil, and India. Measures and policies for controlling the outbreak have been developed by authorities to protect the population of each country, and forecasting the number of infectious people is an important factor for developing them. This research was conducted to identify a suitable forecasting model for estimating the cumulative daily number of infectious people worldwide. Sample countries with severe outbreaks were selected from each continent. Herein, forecasting models based on logistic, Richards, and Gompertz growth curves are derived and their suitability for forecasting the COVID-19 rates in each sample country and worldwide are analyzed. Moreover, estimating the growth curve parameters is based on the least-squares method. The results show that the Gompert growth curve is the most suitable for estimating the cumulative number of infectious people worldwide. © 2021, Paulus Editora. All rights reserved.
2019年冠状病毒病(COVID-19)的爆发在全球范围内造成了重大的经济和医疗问题。目前,全球疫情已经过了高峰,而病例最多的是美国、巴西和印度。各国当局已经制定了控制疫情的措施和政策,以保护每个国家的人口,预测感染人数是制定这些措施和政策的一个重要因素。进行这项研究是为了确定一个合适的预测模型,以估计全世界每天的累计感染人数。从各大洲选取了疫情严重的样本国家。在此基础上,推导了基于logistic、Richards和Gompertz增长曲线的预测模型,并分析了其在每个样本国家和全球范围内预测COVID-19发病率的适用性。此外,生长曲线参数的估计是基于最小二乘法。结果表明,Gompert生长曲线最适合估计世界范围内的累计感染人数。©2021,Paulus Editora。版权所有。
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引用次数: 3
Evaluating the effectiveness of maintenance practices: Case study of a university power generating plant 评估维修措施的有效性:以一所大学发电厂为例
Q3 Engineering Pub Date : 2020-06-01 DOI: 10.14456/EASR.2020.18
T. Orhadahwe, A. A. Adeleke, P. Ikubanni, O. Agboola
The study was conducted in one of the Federal universities in Nigeria. The aim was to evaluate the effectiveness of the maintenance practices in a power generating plant using an availability ratio method. The plant was placed under study for a period of six months. The operation records were obtained from which the availability ratio was obtained. Questionnaires were also distributed to the 21 staff members in the unit and oral interviews were conducted to ascertain the maintenance strategy practiced by the unit. The study revealed that the unit has an availability of 61%, which is low compared to the standard availability ratio of power generating plants (99.9%). The maintenance practices of the unit were determined ineffective. This ineffectiveness was attributed to poor documentation, low-skilled manpower, lack of a spare parts stock, and deficient operating maintenance strategy, as well as poor maintenance funding and management policy. The study recommended autonomy of the maintenance unit, a better inventory system for work materials and spare parts, practice of a predictive or condition monitoring maintenance strategy, training and retraining of the workforce and acquisition of relevant equipment, such as vehicles and computers, as measures that will, in part, improve the effectiveness of maintenance of the plant. The recommendations of this study can be applied to the power sector in Nigeria, which is considered by many to be grossly ineffective.
这项研究是在尼日利亚的一所联邦大学进行的。目的是利用可用性比法评价某发电厂维修实践的有效性。对该工厂进行了为期六个月的研究。获取操作记录,并从中获取可用性比。还向该股的21名工作人员分发了问卷,并进行了口头访谈,以确定该股实行的维修策略。研究表明,该机组的利用率为61%,与发电厂的标准利用率(99.9%)相比较低。该机组的维护措施被认定无效。这种效率低下的原因是缺乏文件、低技能的人力、缺乏备件库存、缺乏操作维护策略,以及缺乏维护资金和管理政策。该研究建议维护单位的自主权,更好的工作材料和备件库存系统,预测性或状态监测维护策略的实践,劳动力的培训和再培训以及相关设备的采购,如车辆和计算机,作为部分提高工厂维护效率的措施。这项研究的建议可以适用于尼日利亚的电力部门,许多人认为尼日利亚的电力部门效率低下。
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引用次数: 0
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Engineering and Applied Science Research
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