Gilberto Souza, P. Aquino, R. Maia, C. Kamienski, J. Soininen
{"title":"A fuzzy irrigation control system","authors":"Gilberto Souza, P. Aquino, R. Maia, C. Kamienski, J. Soininen","doi":"10.1109/GHTC46280.2020.9342960","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342960","url":null,"abstract":"Given the need to reduce water consumption in irrigation to face the challenge of guaranteeing the supply of this resource to the population in the coming decades, this work presents a fuzzy inference system based irrigation control system to determine water irrigation volume for a sweet pepper (capsicum annuum) crop. The system is composed of a Mamdani fuzzy control algorithm which receives data from soil moisture, air humidity and air temperature sensors from the crop field. Also, the rain forecast is gathered from a personal weather station located near to the crop field. Data gathered are used by the control algorithm to ensure that the soil moisture at the root zone is readily available to the plant. After 126 days from seeding, the results indicated that the system was able to reduced irrigation by 18% through controlling soil moisture levels at the plant root zone, saving water content on the irrigation process.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126343644","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}
E. Hove, Cody Van Cleve, Alexander Mobley, Samantha Janko, Asa Plum, A. Zamudio, Justin Schmaltz, Jamie Nollette, Jessy Hampton, N. Johnson
{"title":"Rapidly Deployable Containerized Medical Clinic for Refugee Settings","authors":"E. Hove, Cody Van Cleve, Alexander Mobley, Samantha Janko, Asa Plum, A. Zamudio, Justin Schmaltz, Jamie Nollette, Jessy Hampton, N. Johnson","doi":"10.1109/GHTC46280.2020.9342950","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342950","url":null,"abstract":"Forcibly displaced populations face unique and varied challenges to accessing basic needs such as water, healthcare, education, food, and energy. Refugee populations may live in a remote or urban area, and in settings that may begin with intentions of being temporary yet transition to semi-permanent or permanent living with limited planning for infrastructure needs. Rapidly deployable containerized systems provide a modular solution to these diverse conditions of refugee contexts. In this paper we present the design of a 40’ combined healthcare, water, and power container for humanitarian aid and disaster relief applications. We also present results from deploying the turnkey solution to complement a rural off-grid healthcare center in the Ayilo II settlement of Northern Uganda. The healthcare unit supports a population of 18,000 and receives nearly 200 refugee and local patients daily. Medical services are supported by an integrated power and water system within the container.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131926768","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}
Monica Posluszny, Geon-Soo Park, Irini Spyridakis, Sarina Katznelson, Sam O'Brien
{"title":"Promoting Sustainability through Virtual Reality: A Case Study of Climate Change Understanding with College Students","authors":"Monica Posluszny, Geon-Soo Park, Irini Spyridakis, Sarina Katznelson, Sam O'Brien","doi":"10.1109/GHTC46280.2020.9342907","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342907","url":null,"abstract":"The primary objective of this case study was to use a user centered design (UCD) process to create a virtual reality (VR) educational experience that could instill empathy and encourage behavior change concerning climate change in an American city. We developed a VR prototype concerning flooding caused by climate change in Miami. Guided by the UCD process that takes into account the users’ context and needs, our methods consisted of a literature review, participatory design, semi-structured interviews, a focus group, an affinity diagram of the interview and focus group results, ideation, storyboarding, and prototyping. We used information from the literature and from participants concerning what they believed would impact their thinking regarding climate change and incorporated those perspectives into our VR prototype. We sought to demonstrate the value of incorporating user feedback into the design of a VR experience. Throughout the process, we addressed many of the United Nations’ Sustainable Development Goals, ranging from climate action and quality education to resilient, safe, and inclusive cities and communities, addressing some of the world’s grand sustainability challenges.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129992903","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}
A. Eales, D. Frame, Will Coley, Edgar Bayani, S. Galloway
{"title":"Sustainable Delivery Models for Achieving SDG7: Lessons from an Energy Services Social Enterprise in Malawi","authors":"A. Eales, D. Frame, Will Coley, Edgar Bayani, S. Galloway","doi":"10.1109/GHTC46280.2020.9342877","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342877","url":null,"abstract":"Energy services social enterprises are emerging as a sustainable response to the challenges of achieving SDG 7, but detailed case study insight is lacking to inform the sector. Malawi has one of the lowest electricity access rates in the world, with a rural electrification rate of only 4%. This paper highlights lessons from an energy service social enterprise in Malawi, using a case study framework to outline key achievements and challenges faced. The learning is used to form recommendations on increasing the impact, growth and sustainability of energy service social enterprises, both for grassroots practitioners as well as policy and investment decision makers. It has been found that energy service social enterprises need to develop robust strategies for sustainability through fostering cross sectorial linkages, investing in capacity building and awareness raising, collaborating through research partnerships, budgeting and resource planning conservatively, tracking social impact to inform business strategy, seeking innovation in business planning, and utilising smart subsidies. The case study analysis presented is intended to inform other social enterprises offering energy services, and to progress the rural electrification sector to achieve Sustainable Development Goal 7.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134097196","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}
D. Rao, T. Lyle, S. McFalls, Connor Higgins, Hartini Margot, Eric Obeysekare, Khanjan Mehta
{"title":"An Evaluation of Micronutrient Losses in the Diets of Mothers and Children in Sierra Leone","authors":"D. Rao, T. Lyle, S. McFalls, Connor Higgins, Hartini Margot, Eric Obeysekare, Khanjan Mehta","doi":"10.1109/GHTC46280.2020.9342891","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342891","url":null,"abstract":"Deficiencies of micronutrients including iron, vitamin A, iodine, and zinc deficiencies are a widespread problem in resource-constrained countries, particularly among pregnant and nursing mothers and children under five. Studies addressing this problem often focus on one step of the food value chain, such as the production or metabolism aspect of the intake of micronutrients. This article holistically examines the food value chain through a case study in Makeni, Sierra Leone with the objective of describing the potential loss of micronutrients at various stages in the food value chain. This article aims to describe a potential method for root cause analysis for micronutrient deficiencies to researchers and practitioners alike. Through examinations of case studies and data collected from over 180 interviews conducted in Sierra Leone, we show that current policies and practices in sectors like healthcare, education, and indigenous methods of food preparation cause ripple effects that increase the negative health, societal, and economic consequences of widespread micronutrient deficiencies among mothers and young children.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"1990 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130872626","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":"Developing a Deep Learning-enabled Guide for the Visually Impaired","authors":"Allen Shelton, T. Ogunfunmi","doi":"10.1109/GHTC46280.2020.9342873","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342873","url":null,"abstract":"With visual impairment being a major detriment to quality of life, It is worth exploring options available to them to improve that quality. In this paper we propose using deep learning, real-time object recognition, and text-to-speech capabilities to develop an application to aid the visually impaired. Learning was implemented on the Convolutional Neural Network AlexNet, using two different types of image datasets to recognize both objects and buildings. We integrate a video webcam with our trained model to recognize objects in real-time so the visually impaired will be able to perceive their environment. Finally, using text-to-speech, our application audibly speaks what our trained model recognizes so they will know what's around them. After obtaining initial results from retrained AlexNet, we attempted two modifications of the original architecture to improve its performance for our application for image recognition for the visually impaired, the first change being to the fully connected layers and the second change being to the convolutional layers. Our results show recognition of 92% for internal object data and 88% for external object data. This will go a long way to achieve UN SDG3 goals for good health and well-being for a large percentage of visually impaired people worldwide.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130027387","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}
Lars Baumgärtner, Patrick Lieser, Julian Zobel, Bastian Bloessl, R. Steinmetz, M. Mezini
{"title":"LoRAgent: A DTN-based Location-aware Communication System using LoRa","authors":"Lars Baumgärtner, Patrick Lieser, Julian Zobel, Bastian Bloessl, R. Steinmetz, M. Mezini","doi":"10.1109/GHTC46280.2020.9342886","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342886","url":null,"abstract":"Modern information and communication technology (ICT) is often very vulnerable to disruptions through disasters. Yet, the ability to communicate and distribute messages is vital for efficient disaster response. Furthermore, ad hoc deployment of flexible, robust, and affordable communication systems in a disaster area are often necessary. Therefore, we propose a disruption-tolerant networking bundle agent that uses LoRa radio technology to provide decentralized basic means of communication. To address the hardware’s technological limitations as well as the uncertainty of the user locations and their movement behavior, we propose a geospatial routing mechanism for efficient message forwarding. In conjunction with the communication and routing solutions presented, we also designed specific pager-like hardware for intuitive message reception and bridging of smartphones into LoRa networks. We evaluated our solutions in various simulations as well as through real-world implementations on different hardware platforms.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130225287","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":"Monitoring and Modeling Glyphosate Transport in the Belize River Watershed","authors":"Barbara Astmann, Shakira R. Hobbs, P. Martin","doi":"10.1109/GHTC46280.2020.9342863","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342863","url":null,"abstract":"Glyphosate, an effective herbicide used worldwide as a weed control, can be transported from application areas to unintended locations. In this study, we use high performance liquid chromatography (HPLC), enzyme-linked immunosorbent assay (ELISA) kits, and liquid chromatography with tandem mass spectrometry (LC-MS/MS) to quantify concentrations of glyphosate, and the Soil Water Assessment Tool (SWAT) to model transport of glyphosate in the Belize River Watershed. Water samples were collected from two rural communities with rudimentary drinking water systems. Quantification analyses showed that glyphosate was not present in the water samples. The model confirms that glyphosate is not expected to be present in the sampling locations. However, the model did reveal that glyphosate transport to the Belize River may be occurring and identified three subbasins most likely to be at risk due to having the highest percentages of days exceeding the EU standard for glyphosate of 0.1 µg/L. One of these subbasins, located just downstream of the sampling locations, was the most significant contributor of soluble glyphosate to the river (p-values <0.0). Soluble glyphosate concentrations in this subbasin inflow and outflow exceeded the EU standard by 12.53% and 11.65% of the time, respectively. Additionally, concentrations of glyphosate sorbed to sediment were significantly greater than soluble glyphosate in surface runoff (p-values <0.0). This work demonstrates a framework for applying SWAT for pesticide transport modeling in developing countries and has the potential to be a powerful and accessible tool for watershed management and measurement of sustainable development progress when monitoring data is unavailable.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116463161","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}
Sanat Sarangi, Prachin Jain, Prakruti V. Bhatt, Swagatam Bose Choudhury, Mitali Pal, Sujal Kallamkuth, S. Pappula, Kailyanjeet Borah
{"title":"Effective Plantation Management with Crowd-sensing and Data-driven Insights: A Case Study on Tea","authors":"Sanat Sarangi, Prachin Jain, Prakruti V. Bhatt, Swagatam Bose Choudhury, Mitali Pal, Sujal Kallamkuth, S. Pappula, Kailyanjeet Borah","doi":"10.1109/GHTC46280.2020.9342854","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342854","url":null,"abstract":"We have an assortment of upcoming technologydriven ways to assist specific activities with precision such as spraying with drones, pest assessment with images, mechanisation to complement farm labour, macro farm health assessment with remote sensing, and Internet of Things (IoT) in general that plays a key role on the farm-edge in different capacities. With effective digital plantation management as an end-objective, we present our work on development of the framework constructs to (a) digitise pest management activities to record crop-stress data along with field operations, and (b) build insights from the data to respond faster to stress incidents with precise control measures. As part of the digitisation, we employed design thinking concepts and a human-centric approach to develop user-friendly interfaces where crowd-sensing with the help of ground staff is used as a foundational activity. Descriptive and diagnostic insights on the gathered data were brought out to correlate incidents with operations based on aggregated patterns, and generate deep insights on crop images with artificial intelligence. Image-based insights include localisation and recognition of symptoms associated with insect pests, diseases, and nutrient deficiencies that were non-trivial to get earlier through manual operations. Such insights were used to generate system recommendations that support experts in issuing effective advisory towards curative action on the field thus sowing the seeds for an Industry 4.0 future for plantations.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124687508","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}
Tito Alberto Nuncira Gacharna, A. B. Ostos, Mónica Andrea Lopez Gonzalez, Joaquin Jose Avila Pallares, Valentina Romero Zuluaga, Natalia Andrea Duran Castro, Erick David Daleman Amaya, Yeison Javier Fonseca Rojas, Hernando Hernandez Silva, John Alvaro Rueda Forero, Joffre Alejandro Guzmán Laguna, Angel Jesus Estrada Anaya, Maria Eugenia Lambertinez Rivera, Holman David Vasquez amado, Vanessa Hernández Vásquez
{"title":"Development of Smartband to Monitor from Home the Vital Signs for Patients with SARS COV 2 Through a Mobile Application from the Central Military Hospital (HOMIL) Bogota 2020","authors":"Tito Alberto Nuncira Gacharna, A. B. Ostos, Mónica Andrea Lopez Gonzalez, Joaquin Jose Avila Pallares, Valentina Romero Zuluaga, Natalia Andrea Duran Castro, Erick David Daleman Amaya, Yeison Javier Fonseca Rojas, Hernando Hernandez Silva, John Alvaro Rueda Forero, Joffre Alejandro Guzmán Laguna, Angel Jesus Estrada Anaya, Maria Eugenia Lambertinez Rivera, Holman David Vasquez amado, Vanessa Hernández Vásquez","doi":"10.1109/GHTC46280.2020.9342962","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342962","url":null,"abstract":"After the arrival of SARS COV2 (COVID 19) many biomedical devices have been innovated to mitigate the impact of the pandemic. Despite this, none have been developed to monitor patients with mild symptoms or the asymptomatic from their homes, forcing many hospitals worldwide to send these patients home with poor surveillance measures. The main objective of this project is to monitor from the HOMIL the vital signs of COVID 19 patients, who are currently isolated in their homes. For this purpose, a biomedical device in the form of a lowcost smartband has been developed. It is linked to a mobile application connected to a database where heart rate, oxygen saturation, and temperature parameters are sent in real time. The development was proposed in phases, which involve physical design, data acquisition and processing, and subsequent trial at the HOMIL. The smartband design and the mobile application has been developed, wireless communication between sensors has been achieved. Furthermore, the plan is to provide the HOMIL with the capability of initiating emergency protocols. The use of the smartband will be encouraged in patients who have tested positive for COVID 19 through PCR and will be taken off once they test negative.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125483779","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}