2020 IEEE Global Humanitarian Technology Conference (GHTC)最新文献_第10页

Proof-of-Concept Prototype of Wideband VHF-based Video Streaming for e-Health Interventions in Remote Rural Areas 用于偏远农村地区电子卫生干预的宽带甚高频视频流概念验证原型

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342957

Wookwon Lee, Mustafah Altamimi, Juliyan Patrik Arockia Doss, Omar M. Salameh, Rhea T. Bryan Rivera, N. Conklin

{"title":"Proof-of-Concept Prototype of Wideband VHF-based Video Streaming for e-Health Interventions in Remote Rural Areas","authors":"Wookwon Lee, Mustafah Altamimi, Juliyan Patrik Arockia Doss, Omar M. Salameh, Rhea T. Bryan Rivera, N. Conklin","doi":"10.1109/GHTC46280.2020.9342957","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342957","url":null,"abstract":"In this paper, we propose a 2-meter VHF radio system as an overlay over the 140~148 MHz frequency band for cost effective, long-range, high-data-rate wireless communication in remote rural areas. Referred to herein as the wideband VHF (W-VHF) system, the 140~148 MHz VHF band operation is attractive from the deployment cost standpoint due to the compact size of needed radios and antennas, while effectively facilitating long range communication. The 8 MHz bandwidth is desired to achieve high-data-rate transmission suitable for real-time video streaming desired for telehealth/telemedicine services. We also describe a proof-of-concept prototype of the W-VHF system tested in a lab setting. Our test results indicate that the quality of streaming video and embedded voice at the final destination is not much different than the quality of video and voice played at the source, and the proposed W-VHF system could effectively address the challenges in delivering telehealth/ telemedicine in remote rural areas around the world.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"46 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":"125839611","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

Self-diagnosis and smart maintenance prototype for sustainable and desirable onsite sanitation 自我诊断和智能维护原型可持续和理想的现场卫生

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342906

Clément A. Cid, Eitam Shafran, Sara Iben Jellal, Josh Field, Ronan Le Floch--Best, C. Paules, Yassin El Hilali, M. Hoffmann

{"title":"Self-diagnosis and smart maintenance prototype for sustainable and desirable onsite sanitation","authors":"Clément A. Cid, Eitam Shafran, Sara Iben Jellal, Josh Field, Ronan Le Floch--Best, C. Paules, Yassin El Hilali, M. Hoffmann","doi":"10.1109/GHTC46280.2020.9342906","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342906","url":null,"abstract":"Electrochemical oxidation appears to be a practical technology for the decentralized treatment of wastewater in regions where sewer-based wastewater treatment is too expensive or otherwise impossible to construct and maintain. As of now, the control processes used by many systems rely principally on successive events that are time-dependent and come with some level of monitoring but little feedback into the system process. One reason is the high cost of sensors and automation systems used in industrial installations cannot easily translate into the household or public bathroom products for developing countries where capital expenditure is limited. As an answer to this challenge, we integrated a suite of inexpensive sensors (e.g., ORP, color, turbidity, voltage, current, water level, leakage) in and around the electrochemical treatment system and to a local computer (Raspberry Pi + Arduino) that can diagnose failure modes and send alerts to on-demand repair technicians and users. We also investigating the redesign of the sensors network to make it wireless at a low-cost in order to enjoy the benefits of wireless communications (e.g., monitoring flexibility, accessibility, and availability). The Wireless Sensor Network (WSN) will facilitate the installation of sensors as well as locating and managing failures.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"9 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":"132571335","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

Time-Efficient Fault Diagnosis of a BLDC Motor Drive Deployed in Electric Vehicle Applications 电动汽车用无刷直流电机驱动的时效性故障诊断

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342941

A. Usman, B. Rajpurohit

引用次数: 5

Induced Acoustic Resonance for Noninvasive Bone Fracture Detection Using Digital Signal Processing and Machine Learning 利用数字信号处理和机器学习诱导声共振进行无创骨折检测

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342913

Isaac Boger, Jay Chakalasiya, K. Christofferson, Yuntao Wang, J. Raiti

{"title":"Induced Acoustic Resonance for Noninvasive Bone Fracture Detection Using Digital Signal Processing and Machine Learning","authors":"Isaac Boger, Jay Chakalasiya, K. Christofferson, Yuntao Wang, J. Raiti","doi":"10.1109/GHTC46280.2020.9342913","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342913","url":null,"abstract":"A bone fracture is a complete or incomplete discontinuity in a bone, often caused by an impact. While extreme fractures are sometimes obvious, most fractures require radiographic imaging (such as X-ray) to diagnose and treat. Unfortunately, cost, access to such equipment, and availability of trained personnel to interpret the results present significant barriers to many in remote areas and developing countries. In this feasibility study, a low-cost and portable bone fracture detection method and device are proposed to help this under-served segment of patients. Drawing on previously published work regarding the automated detection of mechanical fractures using induced vibrations in an industrial setting, this paper presents a technique to replicate and improve upon manual detection techniques using a tuning fork and stethoscope by using digital signal processing and machine learning techniques. In order to make fracture detection more accessible, the prototype device presented does not require any specialized skills to operate, maintains portability, is automated, and has the potential to be manufactured inexpensively. Fractures are detected by inducing vibrations in the bone and measuring the resulting signal to detect structural defects. Using animal bones with synthetic soft tissues to replicate the dampening effects of muscle and connective tissue, machine learning models were trained and tested, achieving 93.6% accuracy. The proposed technique may also prove effective in-vivo although further testing is required.","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":"130700147","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: 2

Augmented Reality for Teaching Data Structures in Computer Science 增强现实技术在计算机科学数据结构教学中的应用

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342932

Husnu S. Narman, C. Berry, Alex Canfield, Logan Carpenter, Jeremy M Giese, Neil Loftus, Isabella Schrader

{"title":"Augmented Reality for Teaching Data Structures in Computer Science","authors":"Husnu S. Narman, C. Berry, Alex Canfield, Logan Carpenter, Jeremy M Giese, Neil Loftus, Isabella Schrader","doi":"10.1109/GHTC46280.2020.9342932","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342932","url":null,"abstract":"Data structures course is the most essential and critical course for computing-related majors. In this course, data structures, their main differences, and their usages are explained. However, for computer science students and especially students who do not have programming experiences, learning data structures can be challenging, and many students change their majors if they are not successful in this course. Given the importance of data structures, it is a pressing issue that we need to work to meet student needs and improve computer science education in this area. With technological developments, teaching strategies based on technology are also varying. The student performance is improved at various levels with these strategies. Also, accessing lower price smart devices with lower prices makes previously inaccessible technology, like Augmented Reality (AR), more readily available for students. Therefore, in this paper, we have developed a practice and learning environment for students based on AR and compared AR approach with standard and web-based animation approaches according to students’ comments. Results show that the AR approach not only helps students learn data structures better but is also found to be the most exciting approach. The results can help content-developers observe benefits of AR in computer science education.","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":"130801504","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: 7

Designing an Appropriate Climate Health Interface for Guided Self-Diagnosis in Low-income Communities within Nigeria 在尼日利亚低收入社区设计一个适当的气候健康界面，用于引导自我诊断

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342872

Waku Ken-Opurum, Bobuchi Ken-Opurum, Aimebenomon Idahosa

{"title":"Designing an Appropriate Climate Health Interface for Guided Self-Diagnosis in Low-income Communities within Nigeria","authors":"Waku Ken-Opurum, Bobuchi Ken-Opurum, Aimebenomon Idahosa","doi":"10.1109/GHTC46280.2020.9342872","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342872","url":null,"abstract":"In Nigeria, many climate-related illnesses affect the health and well-being of vulnerable populations in low income communities. Due to high upfront costs and substandard facilities, low-income healthcare relies on self-diagnoses and self-medication which is often inaccurate. Furthermore, due to high illiteracy levels, multiple Nigerian languages, and a low technology adoption rate - especially in older generations - traditional telemedicine application interfaces may be unsuccessful in promoting easy usage and comprehension by the target population. Consequently, this research proposes the development of an algorithmically guided self-diagnostic tool to increase accuracy in self-diagnosis and provide more affordable means to healthcare. The preliminary process described in this paper involves determining the appropriate form of information transfer to the multiple user types within this study population. A remote user-interview was conducted to evaluate the efficiency of visuals, text, and a combination of both, in representing medical and technical jargon. Findings indicated that a combination of visuals and text in lay terms was most effective in communication, and the placement of the text in the background was more efficient at information transfer and comprehension of technical jargon and descriptions. These findings will support next steps for selecting an appropriate self-diagnostic interface for Nigeria.","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":"131236803","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

The Four Internets of COVID-19: the digital-political responses to COVID-19 and what this means for the post-crisis Internet COVID-19的四个互联网:应对COVID-19的数字政治对策及其对危机后互联网的意义

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342859

K. Nabben, M. Poblet, P. Gardner-Stephen

引用次数: 0

Caching Strategies with Mobile Cloud Wireless Mesh: A Study in Disaster Risk and Resilience 基于移动云无线网格的缓存策略:灾害风险和弹性研究

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342867

Neil Angelo M. Mercado, John Paul A. Mamaradlo, Jane Arleth dela Cruz, Nathaniel J. C. Libatique, P. Cabacungan, G. Tangonan

{"title":"Caching Strategies with Mobile Cloud Wireless Mesh: A Study in Disaster Risk and Resilience","authors":"Neil Angelo M. Mercado, John Paul A. Mamaradlo, Jane Arleth dela Cruz, Nathaniel J. C. Libatique, P. Cabacungan, G. Tangonan","doi":"10.1109/GHTC46280.2020.9342867","DOIUrl":"https://doi.org/10.1109/GHTC46280.2020.9342867","url":null,"abstract":"We present different caching approaches to an easily deployable, efficient, and resilient wireless mesh network of Mobile Cloud or Near Cloud System. Prepositioning this low-cost and low-powered caching terabyte caching system in everyday use i.e. in campuses, in Local Government Units, malls, and transport hubs doing their critical services, we anticipate its use in disaster scenarios. It is designed as an aid in disaster planning and preparedness and served as a relay of intelligent information and provided valuable contents to its users during and after disaster. As part of Ateneo Innovation Center's multiplatform resilient communication and information system, the Near Cloud system was deployed during university-wide emergency drill and in a real disaster scenario, proven successful for immediate disaster response, survivor and victim location, and saving lives. We propose the use of interactive digital signage in field operations to assist in search and reunification of families. Different use cases and deployments of the Near Cloud. This paper recognizes the importance of holistic and comprehensive disaster preparedness and risk reduction management especially in the context of a disaster-prone country like the Philippines.","PeriodicalId":314837,"journal":{"name":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"21 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":"132443617","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: 2

The OpenFlexure Project. The technical challenges of Co-Developing a microscope in the UK and Tanzania OpenFlexure项目。在英国和坦桑尼亚共同开发显微镜的技术挑战

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/GHTC46280.2020.9342860

Julian Stirling, Valerian L Sanga, Paul T. Nyakyi, Grace A. Mwakajinga, J. Collins, Kaspar E. Bumke, Joe Knapper, Qingxin Meng, Samuel McDermott, R. Bowman

引用次数: 8

GHTC 2020 Committees GHTC 2020委员会

2020 IEEE Global Humanitarian Technology Conference (GHTC) Pub Date : 2020-10-29 DOI: 10.1109/ghtc46280.2020.9342883

引用次数: 0