{"title":"Experimental Design for Measuring the Effect of Soiling on Power Production of Solar Panels in Ghana","authors":"Takudzwa Kampira, Stewart Isaacs, H. Beem","doi":"10.1109/GHTC55712.2022.9911014","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9911014","url":null,"abstract":"With rural electrification efforts failing to meet the rapid population growth in Africa, solar energy is seen as a viable way to achieve Sustainable Development Goal number 7. There is a need to understand how photovoltaic systems are affected by external factors such as dust particles. Dust soiling can severely affect the viability of PV systems resulting in substantial economic losses. Models for the relationship between soiling ratio and panel performance have been developed in different parts of the world, such as the Middle-East and the West, but little data has been collected on the African continent, where environmental conditions can deviate significantly. This paper presents the first iteration of an experimental setup that can be used to measure the effect of soiling on the power production of PV modules. The setup consists of a sensor suites embedded to an ESP32 microcontroller. Both dusty and clean panels are placed side by side with the clean panel serving as the control. Power performance data collected from the two panels alongside ambient temperature, humidity, and concentrations of PM2.5 and PM$_{2.5-10}$ particles can be posted and stored on a MySQL database for analysis. The data is also stored locally on an SD card acting as a backup.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131339292","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}
Julian N. Eballa, Philip Martinez, Jean Jay J. Quitayen, Ramon Vann Cleff B. Raro
{"title":"RuralSync: Providing Digital Content to Remote Communities in the Philippines through Opportunistic Spectrum Access","authors":"Julian N. Eballa, Philip Martinez, Jean Jay J. Quitayen, Ramon Vann Cleff B. Raro","doi":"10.1109/GHTC55712.2022.9911043","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9911043","url":null,"abstract":"RuralSync is a proof-of-concept project aimed to investigate the feasibility of data broadcasting (datacasting) in distributing digital educational materials and other e-learning tools to remote communities in the Philippines through opportunistic spectrum access. Particularly, it explored the datacasting feature of the Integrated Services Digital Broadcasting-Terrestrial (ISDB-T), the digital TV standard adopted by the Philippines. An end-to-end link was tested: a modified ISDB-T transport stream, which carries the content for test broadcast along with a sample PDF file, was broadcast through a Software Defined Radio (SDR) configured as a low-power ISDB-T TV transmitter. The stream was then received and decoded by an ISDB-T receiver connected to a computer. Preliminary tests show that the file may be extracted from the modified stream satisfactorily, thereby presenting an opportunity for an alternative file sending system to be developed, suitable in areas where the internet infrastructure is unreliable or unavailable.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132531431","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}
Joselito Christian Paulus M. Villanueva, Mark Anthony V. Melendres, C. G. B. Lagunzad, Nathaniel J. C. Libatique, C. Oppus, J. L. E. Honrado, G. Tangonan, Mikaella M. Salud, Martin Jose M. Arandia, Paul Raphael M. Libatique
{"title":"Design and Deployment of Content Stacks and Portable Asynchronous Learning Platforms for Socially Distanced Learning in a Pandemic or Post Disaster Situation","authors":"Joselito Christian Paulus M. Villanueva, Mark Anthony V. Melendres, C. G. B. Lagunzad, Nathaniel J. C. Libatique, C. Oppus, J. L. E. Honrado, G. Tangonan, Mikaella M. Salud, Martin Jose M. Arandia, Paul Raphael M. Libatique","doi":"10.1109/GHTC55712.2022.9911050","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9911050","url":null,"abstract":"During the time of the Covid-19 pandemic, access to worthwhile educational resources has been a necessity. During this time, students and other stakeholders in the community challenged by poor internet connection or non-existent internet infrastructure are put at a disadvantage. This paper describes the design and deployment of a community-based portable asynchronous content distribution through a mobile cloud network. The system was installed in a school and a community center with stakeholders given access to preloaded content via an offline mobile cloud network. Initial tests of the mobile cloud showed good network performance and Quality of Service indicating its potential as an alternative modality in asynchronous content distribution to facilitate learning.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128441899","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}
Edward Obeng Amoah, Mumbe Mwangangi, Tanish Rastogi, Emily Snow, Laurena Werner, J. Gershenson
{"title":"Technology Applications in Teaching at the Right Level Programs","authors":"Edward Obeng Amoah, Mumbe Mwangangi, Tanish Rastogi, Emily Snow, Laurena Werner, J. Gershenson","doi":"10.1109/GHTC55712.2022.9910613","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9910613","url":null,"abstract":"Around the world, inequality in education is creating difficulties for students as they learn how to read and write. Low resource and rural communities in East Africa, and Kenya specifically, are facing issues with students not achieving the national standards for literacy competence by the time they finish primary school, leaving them unequipped to progress in their education. Many groups have been combating this issue, with one particular methodology making a large impact in early childhood literacy and numeracy, known as Teaching at the Right Level (TaRL). By learning in small groups with interactive instruction, students’ weak points are addressed before moving on to more difficult concepts. However, this methodology is traditionally carried out using only paper, increasing the time needed to collect and organize student results and data. To combat the inefficiencies of the traditional method, we have prototyped a digital platform that is able to accurately assess student literacy levels, seamlessly input and organize data as well as provide a library of learning activities to instructors. This platform will introduce students to using technology as an aide in learning as well as increase the efficiency of this learning process, hopefully leading to more students achieving higher learning outcomes.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133322150","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}
{"title":"How WhatsApp is Transforming Healthcare Services and Empowering Health Workers in Low-and Middle-Income Countries","authors":"Noah Weaver, Anneke Roy, Skyler Martinez, Naakesh Gomanie, Khanjan Mehta","doi":"10.1109/GHTC55712.2022.9911048","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9911048","url":null,"abstract":"WhatsApp, a well-known and versatile mobile instant-messaging platform, has found increasing application in healthcare settings in Low-and Middle-Income Countries (LMICs). From coordinating schedules and sharing clinical insights to patient follow-up care, healthcare practitioners such as doctors, nurses, midwives, and community health workers (CHWs) alike use WhatsApp to improve their services. While the informal use of WhatsApp in healthcare settings has grown exponentially, the literature is sparse on use cases, challenges, and opportunities in developing countries. Based on a comprehensive literature review that includes a variety of application scenarios from around the world, this article describes three major application areas for WhatsApp. For each application area, this article presents a brief description, several examples and mini case studies, and an in-depth analysis of opportunities and challenges. This article culminates with a discussion of common implementation challenges, best practices, and gaps in the extant ecosystem.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128544297","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}
Alex Whelan, Soham Phadke, A. Bellofiore, D. Anastasiu
{"title":"On-Device Prediction for Chronic Kidney Disease","authors":"Alex Whelan, Soham Phadke, A. Bellofiore, D. Anastasiu","doi":"10.1109/GHTC55712.2022.9910606","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9910606","url":null,"abstract":"The number of people diagnosed with advanced stages of kidney disease has been rising every year. Although early diagnosis and treatment can slow, if not stop, the progression of the disease, many lower income individuals are unable to afford the high cost of frequent testing necessary to keep the disease progression at bay. To address this issue, we designed a kidney health monitoring system that allows for affordable and quick testing through the use of inexpensive test strips and a mobile application. Moreover, the application serves as a research framework for testing and improving detection models for the disease. In this paper, we describe the application we developed and several preliminary machine learning models we trained to classify the severity of the kidney disease as normal, intermediate risk, or kidney failure. We thoroughly evaluated the effectiveness of our models and found that our histogram of colors-based boosted tree method outperformed alternatives and exhibited good overall prediction performance (F1-score > 90%).","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115558574","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}
Prachin Jain, Swagatam Bose Choudhury, Sanat Sarangi, S. Pappula
{"title":"Enhancing Stress Prediction Models for Rice with Ambient and Field Data in Rabi 2019-20","authors":"Prachin Jain, Swagatam Bose Choudhury, Sanat Sarangi, S. Pappula","doi":"10.1109/GHTC55712.2022.9911035","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9911035","url":null,"abstract":"Every crop needs optimum environment conditions to grow and provide good yield. Similarly, pests and diseases for a given crop require conducive ambient conditions to start proliferating thereby interfering with the yield and increasing management costs for the crop. For farmers to timely respond to crop damage, precisely predicting the likelihood of pest and disease stress conditions for a given region of interest is paramount to take early action. Rice is major crop in India grown over Kharif and Rabi seasons. For a key state Andhra Pradesh and associated major stress conditions in Rabi 2019-20, we present localised prediction models that use ambient micro-climatic conditions and ground reported data to forecast trends for major pests and diseases such as Stem Borer, Leaf Folder, Leaf Blast, and Bacterial Blight. For effective localisation, images reported from the fields for these conditions are validated with AI based detection models before getting processed further. A major contribution of the work is to realise an integrated system that continuously adapts to pest and disease stress conditions on the ground and offers precise risk prediction advisory to the farmer ecosystem for effective management. The approach has been demonstrated to work well with in-season farm surveillance activities at scale.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114564907","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}
Andy Florian Irakoze, Flavio Esposito, Andrew Schranck, L. Voth-Gaeddert
{"title":"A Community Water System Mapping (CWSMap) Platform for Supporting Rural Water Operators","authors":"Andy Florian Irakoze, Flavio Esposito, Andrew Schranck, L. Voth-Gaeddert","doi":"10.1109/GHTC55712.2022.9911028","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9911028","url":null,"abstract":"Community water systems (CWSs) are critical for any community, but optimal management can be difficult. External pressures such as climate change and internal pressures such as a lack of finance or training can significantly affect the operation and maintenance of CWSs in low-resource settings. In addition, millions of CWSs remain unmapped and unanalyzed due to a lack of targeted digital technologies. While higher-income urban utilities can transition into a digital water system ecosystem, many marginalized communities are left behind. CWSMap aims to solve this problem by providing a simple, low-cost digital platform to map, analyze, and manage CWSs targeting volunteers and informally trained water operators. Water operators often face questions around over/under pressurization and flow rates, network expansion, water treatment installations, and maintenance prioritization. CWSMap can help democratize access to advanced digital technologies in marginalized communities to solve pressing local challenges.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114540803","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}
{"title":"Installing Solar for Haitian Civil Society with Emphases on Maintenance and Empowerment","authors":"Brian Thomas, Kayla Garrett","doi":"10.1109/GHTC55712.2022.9911011","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9911011","url":null,"abstract":"Electricity access in Haiti has been limited historically and has further declined in 2021 as a result of political instability including the assassination of the president and gang violence. This paper is a case study of the operations of a nonprofit organization implementing projects to improve electricity access in northern Haiti. Eight projects utilizing solar photovoltaics ranging from 1.0 to 34.5 kWp, some with lithium ferro phosphate batteries, have been installed and are serving the medical community and other civil society organizations in this area. Ongoing maintenance is provided by a Haitian team and uses a computerized maintenance management system, remote monitoring, and in-person inspections. Job creation is achieved primarily during installations, but also by ongoing maintenance. This model shows promise for additional scaling and replication.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126733405","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}
{"title":"Design and Testing of a Low-Cost Wheel-Driven Crop Sprayer","authors":"Tatenda Cecil Mashongedza, H. Beem","doi":"10.1109/GHTC55712.2022.9910607","DOIUrl":"https://doi.org/10.1109/GHTC55712.2022.9910607","url":null,"abstract":"Agriculture in Africa is an essential economic activity, employing about two-thirds of the continent’s working population. Much of the agricultural activities are confined to small-scale farming. The machinery available to most of these small-scale farmers requires significant manual labor, causing them to accumulate health problems and experience low production capacity. Small-scale farmers engaged in crop spraying rely on backpack sprayers, which leads to many of them citing back problems. High costs of alternatives, such as drone sprayers, prohibit their adoption. Here, the design, fabrication, and testing of a low-cost crop spraying device is presented. The device reduces the load-carrying effort required, as the user manually pushes a single-wheel frame carrying a tank and allows a gear-chain system to automatically operate the pump’s lever. The performance of the prototype is characterized by experimental testing, revealing that the device can carry a 50-liter tank while requiring a push effort equivalent to 32% of the load under firm mud conditions and staying below the design limit (50% of the load) for loose sand. Appropriate gear sizing was confirmed to enable an optimum flow rate of 1.2 L/min while the user walks with a regular gait, e.g., an operational speed of 1.45 m/s.","PeriodicalId":370986,"journal":{"name":"2022 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127353037","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}