Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343988
Sanat Sarangi, Somya Sharma, B. Jagyasi
Accurate recognition of agricultural activity has a direct bearing on improving farm productivity in terms of achieving crop yield improvements, imparting precision training to farmers wherever needed, and measuring their efforts. Moreover, farm activities are not independent of each other. Cultivation of any crop is associated with a defined pattern of farmer activities called the crop protocol. With an indigenously developed garment for the farmer called smart-shirt, we propose a model for activity classification which has a mean activity prediction accuracy of over 88% for seven classes. The performance of numerous classifiers-SVM, Naive Byes, K-NN, LDA and QDA-is rigorously evaluated and compared for activity prediction. We also propose a model to use the a priori information associated with the crop protocol to recognize the major activity when presented with an unclear evidence of reported activities.
{"title":"Agricultural activity recognition with smart-shirt and crop protocol","authors":"Sanat Sarangi, Somya Sharma, B. Jagyasi","doi":"10.1109/GHTC.2015.7343988","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343988","url":null,"abstract":"Accurate recognition of agricultural activity has a direct bearing on improving farm productivity in terms of achieving crop yield improvements, imparting precision training to farmers wherever needed, and measuring their efforts. Moreover, farm activities are not independent of each other. Cultivation of any crop is associated with a defined pattern of farmer activities called the crop protocol. With an indigenously developed garment for the farmer called smart-shirt, we propose a model for activity classification which has a mean activity prediction accuracy of over 88% for seven classes. The performance of numerous classifiers-SVM, Naive Byes, K-NN, LDA and QDA-is rigorously evaluated and compared for activity prediction. We also propose a model to use the a priori information associated with the crop protocol to recognize the major activity when presented with an unclear evidence of reported activities.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"48 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122321711","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343951
Saurav M. S. Basnet, Haneen Aburub, W. Jewell, Amir Poudel
This paper describes a microgrid for electrification of an isolated rural village in Nepal. Photovoltaic and various storage systems were modeled to find the optimal design. The economic and environmental impacts are also studied.
{"title":"Case study of microgrid for electrification and its benefits in rural Nepal","authors":"Saurav M. S. Basnet, Haneen Aburub, W. Jewell, Amir Poudel","doi":"10.1109/GHTC.2015.7343951","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343951","url":null,"abstract":"This paper describes a microgrid for electrification of an isolated rural village in Nepal. Photovoltaic and various storage systems were modeled to find the optimal design. The economic and environmental impacts are also studied.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128574502","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343973
Mok Siu-Cheung
A library of open source clean cookstoves reference designs are built to tackle the problem of household air pollution due to use of dirty burning solid fuel stoves. The designs are optimized for massive DIY deployment supporting easy adoption, transportation, assembly, and maintenance. The initial reference designs include a DIY concentrating solar cooker, biomass stove, and tools for making alcohol stove. Construction is based on standards-based off-the-shelf material and common power tools found in hardware & construction material stores, and home-made or 3D-printed tools. This library empowers grassroots or micro-entrepreneurs to build high-performance and low-cost clean cookstoves without investing a fortune on production machinery. Workshop material on clean cookstoves principles, OpenSCAD 3D design, and DIY construction methods equips people with the needed knowledge and skills. A visit to hardware and materials stores is what it takes for local NGO or users to get started. With both clean cookstoves and construction tool designs, the library forms a basis for design engineers to collaborate and speedup efficiency improvement, for organizations seeking clean cooking solutions to drive universal adoption, and for decision makers to work out deployment and finance schemes for their projects.
{"title":"Open source cookstoves library for massive DIY deployment","authors":"Mok Siu-Cheung","doi":"10.1109/GHTC.2015.7343973","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343973","url":null,"abstract":"A library of open source clean cookstoves reference designs are built to tackle the problem of household air pollution due to use of dirty burning solid fuel stoves. The designs are optimized for massive DIY deployment supporting easy adoption, transportation, assembly, and maintenance. The initial reference designs include a DIY concentrating solar cooker, biomass stove, and tools for making alcohol stove. Construction is based on standards-based off-the-shelf material and common power tools found in hardware & construction material stores, and home-made or 3D-printed tools. This library empowers grassroots or micro-entrepreneurs to build high-performance and low-cost clean cookstoves without investing a fortune on production machinery. Workshop material on clean cookstoves principles, OpenSCAD 3D design, and DIY construction methods equips people with the needed knowledge and skills. A visit to hardware and materials stores is what it takes for local NGO or users to get started. With both clean cookstoves and construction tool designs, the library forms a basis for design engineers to collaborate and speedup efficiency improvement, for organizations seeking clean cooking solutions to drive universal adoption, and for decision makers to work out deployment and finance schemes for their projects.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627050","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343955
Michael King, Brienna Phillips, Marc Shively, Venkatesh Raman, Aaron Fleishman, Sarah C. Ritter, Khanjan Mehta
3D printing is a manufacturing method that holds much promise for customized prosthetic devices, particularly in developing countries. There are many open-source prosthetic hands designed specifically for the additive manufacturing process. However, the excessive time (i.e., 32-53 hours) required for printing and assembly hinders scale up. This article analyzes 3D printing and injection molding strategies to determine the optimal manufacturing method that balances manufacturing time and cost. While injection molding is less suited to individualization of prosthetic hands due to high upfront costs and long development times associated with the creation of each new mold, production time and cost significantly decrease thereafter. After analyzing manufacturing costs and times as well as anthropometric data, a hybridized process was selected in which the palm would be 3D printed and other parts injection molded. For the injection molded components, a set of three standard sizes was selected to fit the majority of the population by analyzing anthropometric data from both the U.S. military and general populations.
{"title":"Optimization of prosthetic hand manufacturing","authors":"Michael King, Brienna Phillips, Marc Shively, Venkatesh Raman, Aaron Fleishman, Sarah C. Ritter, Khanjan Mehta","doi":"10.1109/GHTC.2015.7343955","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343955","url":null,"abstract":"3D printing is a manufacturing method that holds much promise for customized prosthetic devices, particularly in developing countries. There are many open-source prosthetic hands designed specifically for the additive manufacturing process. However, the excessive time (i.e., 32-53 hours) required for printing and assembly hinders scale up. This article analyzes 3D printing and injection molding strategies to determine the optimal manufacturing method that balances manufacturing time and cost. While injection molding is less suited to individualization of prosthetic hands due to high upfront costs and long development times associated with the creation of each new mold, production time and cost significantly decrease thereafter. After analyzing manufacturing costs and times as well as anthropometric data, a hybridized process was selected in which the palm would be 3D printed and other parts injection molded. For the injection molded components, a set of three standard sizes was selected to fit the majority of the population by analyzing anthropometric data from both the U.S. military and general populations.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122281205","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343999
M. Friend, S. Stone
In an effort to combat the spread of Ebola in West Africa, phase II/III clinical trials of the vaccines developed by Merck/Newlink Genetics and GSK were expedited. As a result, normal vaccine efficacy as a function of temperature tests have yet to be conducted, leaving temperature requirements of -60C to -80C, significantly colder than EPI vaccine temperature requirements of 2-8C. The trials were held in severely resource challenged regions, with erratic and limited electrical power and no access to dry ice. Intellectual Ventures Laboratory/Global Good modified the Arktek passive vaccine storage device from its original design point of 2-8C down to the required -60 to -80C. A comprehensive series of risk reduction experiments and analysis were performed to verify that the Arktek device could withstand increased stress due to differential thermal expansion and to identify any materials at risk due to reaching glass transition temperatures. The DF (Deep Freeze, modified for use at -80C) Arktek, when combined with an alcohol based phase change material (heat of fusion 110 kJ/kg, freezing temperature -78C) maintained temperatures <;-60C for 6.5 days in 43C ambient with a heat leak of 2.2 W. Combined with -80C freezers in capital cities, a robust vaccine cold chain was deployed in Sierra Leone and Guinea.
{"title":"Challenging requirements in resource challenged environment on a time challenged schedule: A technical solution to support the cold chain for the VSV-Zebov (Merck) Ebola vaccine in Sierra Leone Guinea","authors":"M. Friend, S. Stone","doi":"10.1109/GHTC.2015.7343999","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343999","url":null,"abstract":"In an effort to combat the spread of Ebola in West Africa, phase II/III clinical trials of the vaccines developed by Merck/Newlink Genetics and GSK were expedited. As a result, normal vaccine efficacy as a function of temperature tests have yet to be conducted, leaving temperature requirements of -60C to -80C, significantly colder than EPI vaccine temperature requirements of 2-8C. The trials were held in severely resource challenged regions, with erratic and limited electrical power and no access to dry ice. Intellectual Ventures Laboratory/Global Good modified the Arktek passive vaccine storage device from its original design point of 2-8C down to the required -60 to -80C. A comprehensive series of risk reduction experiments and analysis were performed to verify that the Arktek device could withstand increased stress due to differential thermal expansion and to identify any materials at risk due to reaching glass transition temperatures. The DF (Deep Freeze, modified for use at -80C) Arktek, when combined with an alcohol based phase change material (heat of fusion 110 kJ/kg, freezing temperature -78C) maintained temperatures <;-60C for 6.5 days in 43C ambient with a heat leak of 2.2 W. Combined with -80C freezers in capital cities, a robust vaccine cold chain was deployed in Sierra Leone and Guinea.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127145991","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343966
Vishnu S. Pendyala, S. Figueira
Economy grows as more and more people join its core echelons. People are the most important economic resources at all times. The Web, being humanity's largest source of information and interaction, probably has the most technological potential to get people into mainstream. It can serve as a conduit of humanitarian services to the underprivileged and presents a huge opportunity to meet humanitarian challenges. In this paper, we discuss the role that a truthful World Wide Web can play in achieving humanitarian goals. We survey what is currently available and discuss some of our own ideas on making the Web more robust and truthful in order to meet the humanitarian challenge.
{"title":"Towards a truthful world wide web from a humanitarian perspective","authors":"Vishnu S. Pendyala, S. Figueira","doi":"10.1109/GHTC.2015.7343966","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343966","url":null,"abstract":"Economy grows as more and more people join its core echelons. People are the most important economic resources at all times. The Web, being humanity's largest source of information and interaction, probably has the most technological potential to get people into mainstream. It can serve as a conduit of humanitarian services to the underprivileged and presents a huge opportunity to meet humanitarian challenges. In this paper, we discuss the role that a truthful World Wide Web can play in achieving humanitarian goals. We survey what is currently available and discuss some of our own ideas on making the Web more robust and truthful in order to meet the humanitarian challenge.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126777070","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343948
H. Idrees, A. Ira
This paper describes the issues to consider when designing a laboratory to be constructed in a rural environment in Kenya. The paper bases its details on a project currently underway by a team of volunteer engineers, students and graduates of a non-profit organization. The project includes the construction of a hydraulic flume, a piping network, and a pumping system at a university in Kenya.
{"title":"Process of designing a hydraulics laboratory in rural Kenya for a non-profit engineering student project","authors":"H. Idrees, A. Ira","doi":"10.1109/GHTC.2015.7343948","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343948","url":null,"abstract":"This paper describes the issues to consider when designing a laboratory to be constructed in a rural environment in Kenya. The paper bases its details on a project currently underway by a team of volunteer engineers, students and graduates of a non-profit organization. The project includes the construction of a hydraulic flume, a piping network, and a pumping system at a university in Kenya.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123898074","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7344001
Daniel B. Chamberlain, J. Mofor, R. Fletcher, R. Kodgule
Pulmonary diseases represent a large disease burden in terms of morbidity and mortality worldwide. For many reasons, including household air pollution and a shortage of trained doctors, this burden is concentrated in the developing world. The standard diagnostic pathway for pulmonary diseases is prohibitively expensive in developing countries, so these diseases are often misdiagnosed or underdiagnosed. To assist doctors and health workers, there is a need to create tools that can automatically recognize specific lung sounds and provide diagnostic guidance. As a first step towards this long-term goal, we have created a low-cost stethoscope and smartphone application to record lung sounds. We discuss problems we encountered with the initial design and demonstrate an improved design that is currently being used in the field. We also demonstrate an algorithm capable of automatic detection of wheeze sounds. The automatic wheeze detection algorithm uses time-frequency analysis and the Short Time Fourier Transform to identify sections of wheezing in recorded lung sound files. Unlike most published sound classification studies, we trained and tested our algorithms using sound data collected from 38 actual patients at a pulmonary clinic in Pune, India. Despite variability in the quality of the data, our algorithm demonstrated an accuracy of 86% for successfully detecting the presence of wheeze in a sound file. This mobile platform and detection algorithm demonstrates an important step in creating an automated platform for the diagnosis of pulmonary diseases in a real-world setting.
{"title":"Mobile stethoscope and signal processing algorithms for pulmonary screening and diagnostics","authors":"Daniel B. Chamberlain, J. Mofor, R. Fletcher, R. Kodgule","doi":"10.1109/GHTC.2015.7344001","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7344001","url":null,"abstract":"Pulmonary diseases represent a large disease burden in terms of morbidity and mortality worldwide. For many reasons, including household air pollution and a shortage of trained doctors, this burden is concentrated in the developing world. The standard diagnostic pathway for pulmonary diseases is prohibitively expensive in developing countries, so these diseases are often misdiagnosed or underdiagnosed. To assist doctors and health workers, there is a need to create tools that can automatically recognize specific lung sounds and provide diagnostic guidance. As a first step towards this long-term goal, we have created a low-cost stethoscope and smartphone application to record lung sounds. We discuss problems we encountered with the initial design and demonstrate an improved design that is currently being used in the field. We also demonstrate an algorithm capable of automatic detection of wheeze sounds. The automatic wheeze detection algorithm uses time-frequency analysis and the Short Time Fourier Transform to identify sections of wheezing in recorded lung sound files. Unlike most published sound classification studies, we trained and tested our algorithms using sound data collected from 38 actual patients at a pulmonary clinic in Pune, India. Despite variability in the quality of the data, our algorithm demonstrated an accuracy of 86% for successfully detecting the presence of wheeze in a sound file. This mobile platform and detection algorithm demonstrates an important step in creating an automated platform for the diagnosis of pulmonary diseases in a real-world setting.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"498 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025943","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7344002
Charles B. Delahunt, C. Mehanian, Liming Hu, Shawn K. McGuire, Cary R. Champlin, M. Horning, Benjamin K. Wilson, Clay M. Thompson
The optical microscope is one of the most widely used tools for diagnosing infectious diseases in the developing world. Due to its reliance on trained microscopists, field microscopy often suffers from poor sensitivity, specificity, and reproducibility. The goal of this work, called the Autoscope, is a low-cost automated digital microscope coupled with a set of computer vision and classification algorithms, which can accurately diagnose of a variety of infectious diseases, targeting use-cases in the developing world. Our initial target is malaria, because of the high difficulty of the task and because manual microscopy is currently a central but highly imperfect tool for malaria work in the field. In addition to diagnosis, the algorithm performs species identification and quantitation of parasite load, parameters which are critical in many field applications but which are not effectively determined by rapid diagnostic tests (RDTs). We have built a hardware prototype which can scan approximately 0.1 μL of blood volume in a standard Giemsa-stained thick smear blood slide in approximately 20 minutes. We have also developed a comprehensive machine learning framework, leveraging computer vision and machine learning techniques including support vector machines (SVMs) and convolutional neural networks (CNNs). The Autoscope has undergone successful initial field testing for malaria diagnosis in Thailand.
{"title":"Automated microscopy and machine learning for expert-level malaria field diagnosis","authors":"Charles B. Delahunt, C. Mehanian, Liming Hu, Shawn K. McGuire, Cary R. Champlin, M. Horning, Benjamin K. Wilson, Clay M. Thompson","doi":"10.1109/GHTC.2015.7344002","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7344002","url":null,"abstract":"The optical microscope is one of the most widely used tools for diagnosing infectious diseases in the developing world. Due to its reliance on trained microscopists, field microscopy often suffers from poor sensitivity, specificity, and reproducibility. The goal of this work, called the Autoscope, is a low-cost automated digital microscope coupled with a set of computer vision and classification algorithms, which can accurately diagnose of a variety of infectious diseases, targeting use-cases in the developing world. Our initial target is malaria, because of the high difficulty of the task and because manual microscopy is currently a central but highly imperfect tool for malaria work in the field. In addition to diagnosis, the algorithm performs species identification and quantitation of parasite load, parameters which are critical in many field applications but which are not effectively determined by rapid diagnostic tests (RDTs). We have built a hardware prototype which can scan approximately 0.1 μL of blood volume in a standard Giemsa-stained thick smear blood slide in approximately 20 minutes. We have also developed a comprehensive machine learning framework, leveraging computer vision and machine learning techniques including support vector machines (SVMs) and convolutional neural networks (CNNs). The Autoscope has undergone successful initial field testing for malaria diagnosis in Thailand.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124355242","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}
Pub Date : 2015-12-03DOI: 10.1109/GHTC.2015.7343977
Samir Souidi, D. Boccio, S. Mierzwa, J. Aguilar
The authors of this article propose that monitoring and evaluation and other data collection technology solution providers can consider the use of the cloud, specifically the Microsoft Azure platform, as part of an overall architecture when utilized in sub-Saharan countries. An overview is provided of a public health project in need of a data management system, the options that were considered before selecting the Microsoft product and deciding on which global network datacenter to utilize, the technical details for the system solution build-out, and the positive and negative lessons learned that may be beneficial to others who are involved in such systems design.
{"title":"The feasibility of using Microsoft Azure infrastructure for a monitoring and evaluation system solution in sub-Saharan Africa","authors":"Samir Souidi, D. Boccio, S. Mierzwa, J. Aguilar","doi":"10.1109/GHTC.2015.7343977","DOIUrl":"https://doi.org/10.1109/GHTC.2015.7343977","url":null,"abstract":"The authors of this article propose that monitoring and evaluation and other data collection technology solution providers can consider the use of the cloud, specifically the Microsoft Azure platform, as part of an overall architecture when utilized in sub-Saharan countries. An overview is provided of a public health project in need of a data management system, the options that were considered before selecting the Microsoft product and deciding on which global network datacenter to utilize, the technical details for the system solution build-out, and the positive and negative lessons learned that may be beneficial to others who are involved in such systems design.","PeriodicalId":193664,"journal":{"name":"2015 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134462177","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}
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