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PENATAAN KORIDOR SULTAN KHAIRUN UNTUK MENCIPTAKAN KONDISI TERMAL OPTIMAL 苏丹KHAIRUN的走廊设定为最优热条件
Q4 Mathematics Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.3115
Firda Marasabessy, A. A. Muhammad
Perkembangan suatu kota mengakibatkan meningkatnya suhu udara di kota tersebut. Kondisi ini biasa dikenal sebagai efek Urban Heat Island. Hal ini berdampak pada aktivitas yang terjadi di ruang kota. Koridor Sultan Khairun (salah satu ruang kota/street) yang berorientasi Utara-Selatan, saat ini telah berkembang pesat dengan didominasi oleh fungsi komersial dan ramai dikunjungi oleh masyarakat kota Ternate. Terkait dengan hal tersebut kenyamanan termal menjadi suatu hal yang penting dan tersedia bagi pengguna. Penelitian ini bertujuan untuk mengetahui penataan hardscape dan softscape terhadap aspek nyaman termal pada ruang publik kota. Metode yang digunakan adalah metode pengukuran empirik dan simulasi menggunakan software Envi-MET. Hasil penelitian menunnukkan bahwa pada koridor Jalan Sultan Khairun didominasi oleh bangunan dengan ketinggi 1-2 lantai dan minim vegetasi yang hanya terdapat pada salah satu sisi jalan sehingga temperature rata-rata 32 derajat pada siang hari lebih panas.  Simulasi koridor dengan vegetasi rapat dan kerapatan bangunan rendah dikedua sisinya agar angin bergerak sehingga dapat mengurangi panas oleh sinar matahari.
城市的发展导致城市的气温上升。这种情况通常被称为城市热岛效应。这影响了城市内部的活动。以南北为中心的苏丹Khairun走廊(位于城北的城市/街道)目前正在蓬勃发展,主要由商业功能主导,特内特的城市社区经常光顾。与此相关的热舒适性已经成为用户可以获得的重要工具。本研究旨在了解硬度开普和软素对城市公共空间舒适方面的安排。使用的方法是使用环境软件的经验测量和模拟方法。这项研究表明,苏丹Khairun路的走廊被一幢只有一层楼高、低植被的建筑所主导,而街道一侧的平均温度为32度。模拟走廊,两边都有固定的植被和低密度的建筑,这样风就能移动,从而减少阳光照射下的热量。
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引用次数: 0
ANALISIS KUALITAS LAYANAN E-GOVERMENT MENGGUNAKAN METODE SERVQUAL (STUDI KASUS KANTOR SAMSAT KOLAKA) 使用SERVQUAL方法分析电子教育服务质量
Q4 Mathematics Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.1697
Nurfitria Ningsi, G. Gusnawati, Noorhasanah Z
Objektif dari studi ini adalah Untuk mengetahui kualitas pelayanan sistem informasi pajak kendaraan bermotor pada Kantor SAMSAT kolaka, dimana model analisis yang digunakan adalah lima dimensi SERVQUAL dengan total Responden 100 orang. Berdasarkan hasil perhitungan statistik  terdapat gap antara persepsi dan harapan dari kualitas layanan sistem informasi pajak kendaraan untuk masing-masing dimensi Servqual, dimana pada variabel tangibels terdapat rata-rata gap sebesar (-0.415), reability (-0.19), responsiveness (-0.28667), assurance (-0.26667), empathy (-0.17), dan variabel Y sebesar (-0.36571). Dari perhitung regresi berganda yang menggunakan SPSS ada beberapa variabel yang tidak berpengaruh terhadap kepuasan konsumen karena nilai taraf signifikan yang lebih besar dari 0.05 diantaranya variabel assurance dengan nilai signifikan sebesar 0.590 dan variabel empathy yang nilai signifikan sebesar 0.113. penambahan variabel lain dalam menggali kepuasan konsumen atas kualitas layanan sistem informasi pajak kendaraan bermotor.
这项研究的目标是了解车辆税务信息系统服务的质量,该系统使用的分析模型是一个五维的SERVQUAL,对所有100人的回答。根据统计数字计算,在Servqual每个维度的车辆税务信息系统服务质量预期之间存在差距,但在tangichi变量中,平均存在差距(-0.415)、可服务性(-0.28667)、责任感(-0.26667)、保险不足(-0.26667)、含羞语(- 0.2667)、含羞语(- 0.0.17)和变量(-0.36571)。从使用SPSS的多次回归计算中,有几个变量对消费者满意度没有影响,因为其中包括0.590大于0.05的显著值,其中的资产总值为0.590,而empathy值为0.113。添加其他变量,以挖掘消费者对汽车信息系统服务质量的满意。
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引用次数: 0
Analisis Efesiensi Daya Penerangan Jalan Umum Tenaga Surya di Kecamatan Pulau Ternate
Q4 Mathematics Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.3109
Idham A Djufri, Miftah Muhammad
Solar Street Lighting a street lighting solution for areas or areas that are not within the PLN network area or for lighting efficiency using solar power. The use of public street lighting, although it has several advantages, there are still disadvantages in the field conditions, including the improper placement of the lighting so that it is blocked from sunlight, the use of inappropriate materials, unsuitable height of poles and lack of maintenance which results in not optimal utilization of solar energy. In this study, an analysis of the power efficiency of solar street lighting in the District of Ternate Island will be carried out by conducting direct observations and measurements in the field. The results showed that the maximum voltage for street lamps that were not blocked by trees was 23 volts, while those that were blocked by trees were 19 volts. The lighting strength of the street lights that are blocked by trees is 9 lux, while those that are not blocked by trees are 10 lux. The amount of input voltage for the solar panels affects the strength of the lamp lighting
太阳能街道照明是一种街道照明解决方案,适用于不在PLN网络范围内的地区或地区,或使用太阳能提高照明效率。使用公共街道照明,虽然它有几个优点,但在现场条件下仍然存在缺点,包括照明的放置不当,使其无法阻挡阳光,使用不合适的材料,灯杆的高度不合适以及缺乏维护,导致太阳能的不最佳利用。在本研究中,将通过实地直接观察和测量,对Ternate岛地区太阳能路灯的电力效率进行分析。结果表明,未被树木遮挡的路灯最高电压为23伏,被树木遮挡的路灯最高电压为19伏。被树木遮挡的路灯照明强度为9勒克斯,未被树木遮挡的路灯照明强度为10勒克斯。太阳能板输入电压的大小影响灯的照明强度
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引用次数: 0
studi perencanaan pembangkit listrik tenaga mikrohidro (PLTMH) desa tawa kecamatan gane barat selatan kabupaten halmahera selatan
Q4 Mathematics Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.3106
M. H. Abbas, Ahmad P Sardju
The problem of the need for electrical energy, especially petroleum as a source of energy is decreasing, so that savings must be anticipated as early as possible. One of the saving measures taken to reduce the use of petroleum in order to meet electricity needs is to use water energy as renewable energy, so in this study PLTMH is planned. The things that are taken into account in planning PLTMH are conduits, water tanks, rapid pipes, powerhouses, turbines and generators. The PLTMH research was conducted in Tawa Village, Gane Barat Selatan District, South Halmahera Regency. The results obtained are a water discharge of 0.28 m3 / s and a waterfall height of 12 meters, a diameter of 12 cm of rapid pipe, a length of 19.20 m of rapid pipe. kW, and the generator is sporadically coupled so that the net power of the turbine is equal to the gross power of the generator. The efficiency of the generator is 90%, so that it produces a rise power of 18.88 kW divided by cos φ which is equal to 23.6 kVA
电能需求的问题,特别是作为能源来源的石油的需求正在减少,因此必须尽早预期节省。减少石油的使用以满足电力需求的节约措施之一是将水能作为可再生能源,因此本研究规划了PLTMH。在规划PLTMH时要考虑的是管道、水箱、快速管道、发电站、涡轮机和发电机。PLTMH研究是在南哈马赫拉县Gane Barat Selatan区Tawa村进行的。实验结果表明:水流量为0.28 m3 / s,瀑布高度为12 m,快速管直径为12 cm,快速管长度为19.20 m。kW,与发电机偶联,使汽轮机的净功率等于发电机的总功率。发电机的效率为90%,因此它产生的上升功率为18.88 kW除以cos φ,等于23.6 kVA
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引用次数: 0
Design and analysis of an off-grid PV plant for higher utilization efficiency in the field of pharmaceutical industry considering global pandemic state . 考虑全球大流行疫情的医药行业离网光伏电站设计与分析。
Q4 Mathematics Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.144
A. B. Hassan, Kazi Firoz Ahmed
According to the concern of WHO the less association of people in an office may restrict the likelihood of spreading this COVID-19 infection. On the other hand, the pharmaceutical companies are working hard to maintain uninterrupted production of vaccine and medicines. This paper focuses on the main layer which is the power system management and its utilization through automation and controlling remotely. In the design process the FDA (Food and Drug Administration) proposed structure and green energy solution is maintained. Solar energy utilization efficiency is increased using the data logging system and machine learning algorithms from archived data. A SCADA operated Off-Grid Solar PV Automation System has been proposed to increase the utilization efficiency. To predict solar power availability over time and perform efficient energy trafficking, the automation system will analyze previous data and perform situational awareness operations for uninterrupted solar power generation. A comprehensive analysis of the proposed automation system for pharmaceuticals industry applications has also been presented in this paper. The continuous monitoring system for this Off-Grid Solar PV power generating unit preserves multiple data entries, which increases with time and subjected to energy trafficking. And this energy trafficking based on machine learning increases the overall solar energy utilization efficiency from 64% to 99.92%. © 2021 AIUB Office of Research and Publication. All rights reserved.
世卫组织担心,办公室人员交往较少可能会限制COVID-19感染传播的可能性。另一方面,制药公司正在努力维持疫苗和药品的不间断生产。本文重点研究了电力系统管理和远程自动化控制的主要内容。在设计过程中保持了FDA(食品和药物管理局)提出的结构和绿色能源解决方案。利用数据记录系统和机器学习算法从存档数据中提高太阳能利用效率。提出了一种SCADA操作的离网太阳能光伏自动化系统,以提高利用效率。为了预测一段时间内太阳能的可用性并执行有效的能源运输,自动化系统将分析以前的数据并执行态势感知操作,以实现不间断的太阳能发电。本文还对提出的用于制药工业的自动化系统进行了全面的分析。该离网太阳能光伏发电机组的连续监测系统保留了多个数据条目,这些数据条目随着时间的推移而增加,并受到能量贩运的影响。这种基于机器学习的能量传输将太阳能的整体利用率从64%提高到99.92%。©2021 AIUB研究与出版办公室。版权所有。
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引用次数: 1
Demographic and statistical study of covid-19: Transmission and drug susceptibility pattern in India covid-19的人口统计学研究:印度的传播和药物敏感性模式
Q4 Mathematics Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.117
Talluri Rameshwari K R, A. K, Ajay Kumar
Corona virus is a novel virus, causes severe acute respiratory syndrome (SARS) and spreading worldwide from person to person via communicable disease. It was first identified in the Wuhan City, Hubei Province, China in December 2019 hence it got the name COVID-19. In India, COVID-19 cases are reported severe as compared with other countries and it is standing in second position in the world after United State of America. The pathogenesis of COVID-19 is more risk in elder age as compared to young ones due to immune response. The pathogenesis of COVID-19 is recorded in three steps 1) asymptomatic state, 2) upper airways and conducting airways response and 3) hypoxia. The drugs viz., hydroxychloroquine, paracetamol, and antibiotics are mostly used for the treatment of SARS but no single drug is effective for disease. Hence, treatment of this disease is required. In this review, the correlation of confirmed and death cases due to COVID-19 in India and China are analysed by statistical methods (one-way ANOVA and t-Test). This study will give a clear picture of COVID-19 disease scenario and also helped in identifying and preventing the disease. © 2021 AIUB Office of Research and Publication. All rights reserved.
冠状病毒是一种新型病毒,可引起严重急性呼吸系统综合症(SARS),并通过传染病在世界范围内人际传播。它于2019年12月在中国湖北省武汉市首次被发现,因此被称为COVID-19。与其他国家相比,印度报告的新冠肺炎病例严重,仅次于美国,位居世界第二。与年轻人相比,由于免疫反应,老年人的发病风险更大。COVID-19的发病机制分为三个步骤:1)无症状状态,2)上呼吸道和传导气道反应,3)缺氧。羟基氯喹、扑热息痛、抗生素等药物主要用于治疗SARS,但没有一种药物对疾病有效。因此,需要对这种疾病进行治疗。本综述采用统计学方法(单因素方差分析和t检验)分析了印度和中国COVID-19确诊病例和死亡病例的相关性。这项研究将提供COVID-19疾病情景的清晰画面,并有助于识别和预防疾病。©2021 AIUB研究与出版办公室。版权所有。
{"title":"Demographic and statistical study of covid-19: Transmission and drug susceptibility pattern in India","authors":"Talluri Rameshwari K R, A. K, Ajay Kumar","doi":"10.53799/ajse.v20i1.117","DOIUrl":"https://doi.org/10.53799/ajse.v20i1.117","url":null,"abstract":"Corona virus is a novel virus, causes severe acute respiratory syndrome (SARS) and spreading worldwide from person to person via communicable disease. It was first identified in the Wuhan City, Hubei Province, China in December 2019 hence it got the name COVID-19. In India, COVID-19 cases are reported severe as compared with other countries and it is standing in second position in the world after United State of America. The pathogenesis of COVID-19 is more risk in elder age as compared to young ones due to immune response. The pathogenesis of COVID-19 is recorded in three steps 1) asymptomatic state, 2) upper airways and conducting airways response and 3) hypoxia. The drugs viz., hydroxychloroquine, paracetamol, and antibiotics are mostly used for the treatment of SARS but no single drug is effective for disease. Hence, treatment of this disease is required. In this review, the correlation of confirmed and death cases due to COVID-19 in India and China are analysed by statistical methods (one-way ANOVA and t-Test). This study will give a clear picture of COVID-19 disease scenario and also helped in identifying and preventing the disease. © 2021 AIUB Office of Research and Publication. All rights reserved.","PeriodicalId":36368,"journal":{"name":"AIUB Journal of Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81987783","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
Support Vector Machine based Stress Detection System to manage COVID-19 pandemic related stress from ECG signal 基于支持向量机的心电信号压力检测系统
Q4 Mathematics Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.112
Md Fahim Rizwan, Rayed Farhad, Md. Hasan Imam
This study represents a detailed investigation of induced stress detection in humans using Support Vector Machine algorithms. Proper detection of stress can prevent many psychological and physiological problems like the occurrence of major depression disorder (MDD), stress-induced cardiac rhythm abnormalities, or arrhythmia. Stress induced due to COVID -19 pandemic can make the situation worse for the cardiac patients and cause different abnormalities in the normal people due to lockdown condition. Therefore, an ECG based technique is proposed in this paper where the ECG can be recorded for the available handheld/portable devices which are now common to many countries where people can take ECG by their own in their houses and get preliminary information about their cardiac health. From ECG, we can derive RR interval, QT interval, and EDR (ECG derived Respiration) for developing the model for stress detection also. To validate the proposed model, an open-access database named "drivedb” available at Physionet (physionet.org) was used as the training dataset. After verifying several SVM models by changing the ECG length, features, and SVM Kernel type, the results showed an acceptable level of accuracy for Fine Gaussian SVM (i.e. 98.3% for 1 min ECG and 93.6 % for 5 min long ECG) with Gaussian Kernel while using all available features (RR, QT, and EDR). This finding emphasizes the importance of including ventricular polarization and respiratory information in stress detection and the possibility of stress detection from short length data (i.e. from 1 min ECG data), which will be very useful to detect stress through portable ECG devices in locked down condition to analyze mental health condition without visiting the specialist doctor at hospital. This technique also alarms the cardiac patients from being stressed too much which might cause severe arrhythmogenesis. © 2021 AIUB Office of Research and Publication. All rights reserved.
本研究代表了使用支持向量机算法对人类诱导应力检测的详细调查。正确发现压力可以预防许多心理和生理问题,如重度抑郁症(MDD)、压力引起的心律异常或心律失常的发生。因新冠肺炎疫情引起的压力会使心脏病患者的情况更加恶化,正常人也会因封锁而出现不同的异常。因此,本文提出了一种基于ECG的技术,该技术可以在可用的手持/便携式设备上记录ECG,这些设备现在在许多国家都很常见,人们可以在自己的家中进行ECG,并获得有关其心脏健康的初步信息。从ECG中,我们可以推导出RR间期、QT间期和EDR (ECG衍生呼吸),用于开发应力检测模型。为了验证所提出的模型,在Physionet (physionet.org)上使用了一个名为“drivedb”的开放访问数据库作为训练数据集。通过改变心电长度、特征和支持向量机核类型对几种支持向量机模型进行验证后,结果表明,在使用所有可用特征(RR、QT和EDR)的情况下,高斯核对细高斯支持向量机的准确率达到了可接受的水平(即1分钟ECG为98.3%,5分钟ECG为93.6%)。这一发现强调了在压力检测中包括心室极化和呼吸信息的重要性,以及从短长度数据(即从1分钟ECG数据)中检测压力的可能性,这将非常有助于在锁定状态下通过便携式ECG设备检测压力,从而分析精神健康状况,而无需去医院看专科医生。这项技术还可以提醒心脏病患者不要压力过大,以免导致严重的心律失常。©2021 AIUB研究与出版办公室。版权所有。
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引用次数: 3
Comparative Analysis of Program Outcomes Achievement between Face-to-Face and Virtual Classes during COVID-19 Pandemic COVID-19大流行期间面对面与虚拟课堂项目成果的比较分析
Q4 Mathematics Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.150
M. T. Ali, Md. Abdur Rahman, Carmen Z. Lamagna
Outcome-based education is a paradigm shift from traditional knowledge-based education to modern skill-based education. After the Washington Accord, engineering education worldwide has adopted the new pedagogy for Engineering Education. But last year, after the hit of COVID - 19 pandemics, most of the education system has to move online. The online education platform raised a new challenge for Outcome-Based Education. In this paper, online education on the OBE-implemented B.Sc. in Electrical and Electronic Engineering (EEE) program has been analyzed. The attainment performance of the Program Outcomes has been presented. With this empirical evidence, careful implementation and encouragement of OBE can achieve its potential even with Online education. Students and Faculties of the B.Sc in EEE program have demonstrated that OBE can be effectively accomplished via an e-learning platform. © 2021 AIUB Office of Research and Publication. All rights reserved.
结果型教育是传统知识教育向现代技能教育的范式转变。《华盛顿协议》之后,世界范围内的工程教育都采用了新的工程教育教学法。但去年,在2019冠状病毒病(COVID - 19)大流行之后,大部分教育系统不得不转向在线。网络教育平台对成果教育提出了新的挑战。本文对电气与电子工程学士学位(EEE)课程的在线教育进行了分析。介绍了项目成果的实现情况。有了这一经验证据,仔细实施和鼓励OBE甚至可以在在线教育中发挥其潜力。EEE学士学位课程的学生和教师已经证明,通过电子学习平台可以有效地完成OBE。©2021 AIUB研究与出版办公室。版权所有。
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引用次数: 2
An Overview of Image Processing Techniques for Detecting COVID-19 and Other Infectious Diseases 新型冠状病毒及其他传染病的图像处理技术综述
Q4 Mathematics Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.153
Raiyan Islam, S. Uddin, Jamil Mahmud Sakib, Md. Shariful Islam, Tanvir Ahmed
Modern-day medical activities and disease recognition systems are mostly based on the usage of modern technologies. Image processing system is one of the most usable and highly valuable technologies which is used in numerous amount of disease detection process. In this paper, a review will be given based on detecting several infectious and cancerous diseases of different organs in a human body through applying different types of image processing techniques. Image processing system consists of several numbers of image processing techniques which apply to a different category of data and resources. The infectious diseases in a human body possess a certain amount of area in any organ of a human body. Modern medical science of these days is very much advanced that x-ray images, CT or MRI scan images can provide a digital image of a human figure and with the help of these images infections can easily be detected by applying image processing techniques to make sure certain region is affected. A detailed overview will be provided in this review that are the most used image processing techniques to get accurate results on detecting different types of infectious diseases. © 2021 AIUB Office of Research and Publication. All rights reserved.
现代医疗活动和疾病识别系统大多基于现代技术的使用。图像处理系统是目前应用最广泛、最有价值的疾病检测技术之一。本文就利用不同类型的图像处理技术检测人体不同器官的几种传染性和癌变疾病的研究进展作一综述。图像处理系统由若干图像处理技术组成,这些技术适用于不同类型的数据和资源。人体传染病在人体的任何器官中都占有一定的面积。如今的现代医学科学非常先进,x射线图像、CT或MRI扫描图像可以提供人体的数字图像,借助这些图像,通过应用图像处理技术可以很容易地检测到感染,以确保某些区域受到影响。本文将详细介绍在不同类型传染病检测中最常用的图像处理技术,以获得准确的结果。©2021 AIUB研究与出版办公室。版权所有。
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引用次数: 3
Predicting Spread, Recovery and Death Due to COVID-19 using a Time-Series Model (Prophet) 使用时间序列模型(Prophet)预测COVID-19的传播、恢复和死亡
Q4 Mathematics Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.152
Sk. Golam Mahmud, Mahbub C. Mishu, Dipika Nandi
The world is facing its biggest challenge since 1920 due to spread of COVID-19 virus. Identified in China in December 2019, the virus has spread more than 200 countries in the world. Scientists have named the virus as Novel Corona Virus (belongs to SARS group virus). The virus has caused severe disruption to our world. Educational institutions, financial Services, government services and many other sectors are badly affected by this virus. More importantly, the virus has caused a massive amount of human deaths around the world and still its infecting people every day. Scientist around the world are trying to find a solution to stop the COVID-19. Their solutions include identifying possible effective vaccine, computer-aided modelling to see the pattern of spread etc. Using Machine Learning techniques, it is possible to forecast the spread, death, and recovery due to COVID-19. In this article, we have shown a machine learning model named as Prophet Time Series Analysis to forecast the spread, death, and recovery in different countries. We train the model using the available historical data on COVID-19 from John Hopkins University's COVID-19 site. Then we forecast spread, death, and recovery for seven days using a well known forecasting model called Prophet. This interval can be increased to see the effect of COVID-19. We chose 145 days of historical data to train the model then we predict effect for seven days (15 June 2020 to 22 June 2020). To verify out result, we compare the predicted value with actual value of spread, death and recovery. The model provides accuracy over 92% in all the cases. Our model can be used to identify the effect of COVID-19 in any countries in the world. The system is developed using Python language and visualization is also possible interactively. By using our system, it will be possible to observe the effect of spread, death and recovery for any countries for any period of time. © 2021 AIUB Office of Research and Publication. All rights reserved.
由于新型冠状病毒感染症(COVID-19)的扩散,世界面临着自1920年以来最大的挑战。该病毒于2019年12月在中国被发现,目前已传播到世界200多个国家。科学家将这种病毒命名为“新型冠状病毒”(属于SARS病毒组)。这种病毒对我们的世界造成了严重的破坏。教育机构、金融服务、政府服务和许多其他部门受到这种病毒的严重影响。更重要的是,这种病毒在世界范围内造成了大量的人类死亡,而且每天都有感染者。世界各地的科学家都在努力寻找阻止COVID-19的解决方案。他们的解决方案包括确定可能有效的疫苗,建立计算机辅助模型以观察传播模式等。利用机器学习技术,可以预测COVID-19的传播、死亡和恢复。在本文中,我们展示了一个名为“先知时间序列分析”的机器学习模型,用于预测不同国家的传播、死亡和恢复。我们使用约翰霍普金斯大学COVID-19网站上的COVID-19可用历史数据来训练模型。然后,我们使用一个著名的预测模型“先知”来预测7天内的传播、死亡和恢复情况。这个间隔可以增加,以观察COVID-19的影响。我们选择145天的历史数据来训练模型,然后预测7天(2020年6月15日至2020年6月22日)的效果。为了验证我们的结果,我们将预测值与实际的扩散、死亡和恢复值进行了比较。该模型在所有情况下的准确率都超过92%。我们的模型可用于确定COVID-19在世界上任何国家的影响。该系统是用Python语言开发的,也可以实现交互式可视化。通过使用我们的系统,可以观察任何国家在任何时期的传播、死亡和恢复的影响。©2021 AIUB研究与出版办公室。版权所有。
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引用次数: 3
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