AIUB Journal of Science and Engineering最新文献_第5页

PENATAAN KORIDOR SULTAN KHAIRUN UNTUK MENCIPTAKAN KONDISI TERMAL OPTIMAL 苏丹KHAIRUN的走廊设定为最优热条件

AIUB Journal of Science and Engineering Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.3115

Firda Marasabessy, A. A. Muhammad

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

AIUB Journal of Science and Engineering Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.1697

Nurfitria Ningsi, G. Gusnawati, Noorhasanah Z

引用次数: 0

Analisis Efesiensi Daya Penerangan Jalan Umum Tenaga Surya di Kecamatan Pulau Ternate

AIUB Journal of Science and Engineering Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.3109

Idham A Djufri, Miftah Muhammad

引用次数: 0

studi perencanaan pembangkit listrik tenaga mikrohidro (PLTMH) desa tawa kecamatan gane barat selatan kabupaten halmahera selatan

AIUB Journal of Science and Engineering Pub Date : 2021-05-09 DOI: 10.3387/JOSAE.V4I1.3106

M. H. Abbas, Ahmad P Sardju

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。

AIUB Journal of Science and Engineering Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.144

A. B. Hassan, Kazi Firoz Ahmed

{"title":"Design and analysis of an off-grid PV plant for higher utilization efficiency in the field of pharmaceutical industry considering global pandemic state .","authors":"A. B. Hassan, Kazi Firoz Ahmed","doi":"10.53799/ajse.v20i1.144","DOIUrl":"https://doi.org/10.53799/ajse.v20i1.144","url":null,"abstract":"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.","PeriodicalId":36368,"journal":{"name":"AIUB Journal of Science and Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73004030","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: 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

AIUB Journal of Science and Engineering Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.117

Talluri Rameshwari K R, A. K, Ajay Kumar

{"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":"28 1","pages":""},"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

AIUB Journal of Science and Engineering Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.112

Md Fahim Rizwan, Rayed Farhad, Md. Hasan Imam

{"title":"Support Vector Machine based Stress Detection System to manage COVID-19 pandemic related stress from ECG signal","authors":"Md Fahim Rizwan, Rayed Farhad, Md. Hasan Imam","doi":"10.53799/ajse.v20i1.112","DOIUrl":"https://doi.org/10.53799/ajse.v20i1.112","url":null,"abstract":"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.","PeriodicalId":36368,"journal":{"name":"AIUB Journal of Science and Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77187119","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: 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

AIUB Journal of Science and Engineering Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.150

M. T. Ali, Md. Abdur Rahman, Carmen Z. Lamagna

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

AIUB Journal of Science and Engineering Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.153

Raiyan Islam, S. Uddin, Jamil Mahmud Sakib, Md. Shariful Islam, Tanvir Ahmed

{"title":"An Overview of Image Processing Techniques for Detecting COVID-19 and Other Infectious Diseases","authors":"Raiyan Islam, S. Uddin, Jamil Mahmud Sakib, Md. Shariful Islam, Tanvir Ahmed","doi":"10.53799/ajse.v20i1.153","DOIUrl":"https://doi.org/10.53799/ajse.v20i1.153","url":null,"abstract":"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.","PeriodicalId":36368,"journal":{"name":"AIUB Journal of Science and Engineering","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76737220","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: 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

AIUB Journal of Science and Engineering Pub Date : 2021-01-01 DOI: 10.53799/ajse.v20i1.152

Sk. Golam Mahmud, Mahbub C. Mishu, Dipika Nandi

{"title":"Predicting Spread, Recovery and Death Due to COVID-19 using a Time-Series Model (Prophet)","authors":"Sk. Golam Mahmud, Mahbub C. Mishu, Dipika Nandi","doi":"10.53799/ajse.v20i1.152","DOIUrl":"https://doi.org/10.53799/ajse.v20i1.152","url":null,"abstract":"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.","PeriodicalId":36368,"journal":{"name":"AIUB Journal of Science and Engineering","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80503014","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: 3