Using Geographic Information Systems (GIS) for Targeted National Recruitment of Community-Dwelling Caregivers Managing Dementia-Related Behavioral and Psychological Symptoms: A Recruitment Approach for a Randomized Clinical Trial

Scerpella, Danny; Bouranis, Nicole; Webster, Melinda J.; Dellapina, Maria; Koeuth, Sokha; Parker, Lauren; Kales, Helen C.; Gitlin, Laura N.

doi:10.4236/jgis.2021.133017

Cited by 5 publications

(6 citation statements)

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“…In GIS, at least part of the metal closed switchgear and control equipment are insulated using superior dielectric gas-Sulfur hexafluoride (SF6) compressed by a higher than atmospheric pressure [11] GIS comprises the circuit breaker, disconnector, grounding switch, transformer, lightning arrester, bus, connector, and outgoing terminal. These equipment or components are all enclosed in a metal grounded shell, in which there is a certain pressure of insulating gas, so they are also called fully enclosed combined circuit breakers [12], [13]. GIS uses gas higher than atmospheric pressure as an insulating medium for at least a part of metal-enclosed switchgear and control equipment.…”

Section: Design Of Gis-oriented Health Management System (Hms) a Gas ...mentioning

confidence: 99%

Exploration on Automatic Management of GIS Using TL-CNN and IoT

et al. 2022

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The research aims to effectively monitor the state of complex industrial equipment in real time, diagnose the internal Partial Discharge (PD) pattern of Gas Insulated Metal Enclosed Switchgear (GIS), implement effective health management, and change the traditional model optimization route of increasing training time in exchange for performance improvement. This paper studies the complex equipment-oriented Health Management System (HMS) based on Internet of Things (IoT) technology and Transfer Learning. Firstly, the principles of Transfer Learning and Deep Learning (DL) technology are introduced. Secondly, the requirements of GIS internal status recognition and management are studied. Furthermore, a GIS-oriented HMS based on Transfer Learning-optimized Convolutional Neural Networks (CNN) is proposed, and the training dataset is constructed. Finally, the proposed model is tested. The results show that the complex equipment-oriented HMS based on IoT technology, CNN, and Transfer Learning can detect the internal status of GIS in real time. Compared with the traditional DL algorithm and expert system, the proposed model has a shorter training time of only 16min, faster convergence speed, high testing recognition rate, and over 96% recognition rate. Compared with other mainstream algorithms, it has higher identification, the storage parameter volume is 408, and the storage space is 12.8MB. Moreover, the proposed Transfer Learning-optimized CNN model can accurately detect the status of GIS, identify abnormal statuses, and help prolong the service life of GIS. The proposed complex equipment-oriented HMS contributes to the intelligent manufacturing industry and provides a new direction for applying emerging Computer Technology in the intelligent industry.INDEX TERMS Internet of Things, convolutional neural network, GIS, status recognition, equipment health management. I. INTRODUCTIONChinese continuous industrialization has gradually entered the era of ''industry 4.0'', which helps to popularize industrial reform, thus affecting all walks of life through advanced technologies, such as Information Technology (IT). As a result, the manufacturing industry set off a new round of revolution towards intelligent manufacturing, and intelligent industrial equipment sees extensive application [1], [2]. In particular, Gas-Insulated Metal Closed Switchgear (GIS), [3] because of its unique advantages, such as small footprint, high reliability, and little electromagnetic contamination is widely used in modern power systems. However, due to the limited production, transmission, and installation conditions, GIS will haveThe associate editor coordinating the review of this manuscript and approving it for publication was Porfirio Tramontana .

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Section: Design Of Gis-oriented Health Management System (Hms) a Gas ...mentioning

confidence: 99%

Exploration on Automatic Management of GIS Using TL-CNN and IoT

et al. 2022

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“…Recently, GIS has been used for dementia research by combining spatial and non-spatial data into one framework to analyze the dementia care system [10,11]. For instance, researchers used GIS to study high-risk areas by identifying potenteil spatial autocorrelation in the distribution of dementia patients [12].…”

Section: Introductionmentioning

confidence: 99%

The role of geographic information system and global positioning system in dementia care and research: a scoping review

et al. 2022

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Background Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. Methods A scoping review was conducted based on Arksey and O’Malley’s framework. All published articles in peer-reviewed journals were searched in PubMed, Scopus, and Web of Science, subject to involving at least one GIS/GPS approach focused on dementia. Eligible studies were reviewed, grouped, and synthesized to identify GIS and GPS applications. The PRISMA standard was used to report the study. Results Ninety-two studies met our inclusion criteria, and their data were extracted. Six types of GIS/GPS applications had been reported in dementia literature including mapping and surveillance (n = 59), data preparation (n = 26), dementia care provision (n = 18), basic research (n = 18), contextual and risk factor analysis (n = 4), and planning (n = 1). Thematic mapping and GPS were most frequently used techniques in the dementia field. Conclusions Even though the applications of GIS/GPS methodologies in dementia care and research are growing, there is limited research on GIS/GPS utilization in dementia care, risk factor analysis, and dementia policy planning. GIS and GPS are space-based systems, so they have a strong capacity for developing innovative research based on spatial analysis in the area of dementia. The existing research has been summarized in this review which could help researchers to know the GIS/GPS capabilities in dementia research.

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“…O geoprocessamento é o conjunto de técnicas de coleta, tratamento e exibição de informações referenciadas geograficamente, funcionando como uma ferramenta de visualização de eventos de saúde em mapas, e dentre eles encontram-se o Sistema de Posicionamento Global (GPS) e Sistema de Informação Geográfica (SIG) 11 . Nas pesquisas de saúde são utilizados a fim de medir o espaço de atividade e a mobilidade dos participantes, a medição da exposição ambiental e o mapeamento de doenças em epidemiologia espacial utilizando o sistema de posicionamento global (GPS), que utiliza a radionavegação por satélite para determinar o local na superfície da Terra com alto grau de precisão 12 e do Sistema de Informação Geográfica (SIG) para criar mapas e informar a distribuição direcionada de materiais de recrutamento e esforços de divulgação 13 .…”

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“…O uso do GPS utilizado em conjunto com o SIG em estudos de coorte permite benefícios para pesquisas em saúde, como estudos de coorte, de investigações de surtos 12 e epidemias 13 , e no acompanhamento de tratamento de doenças 14 . Eles proporcionam melhoria da logística no planejamento, a otimização das atividades de campo e para identificar localizações em uma área desconhecida 12 , direcionamento de populações específicas para recrutamento ou análise das características do ambiente, identificação de grupos de risco em ambientes comunitários, análise de pontos críticos de doenças para identificar disparidades potenciais, prever padrões de condições crônicas comuns em populações mais velhas 13 , acompanhamento de pacientes em tratamento medindo resultados de saúde física e psicossocial e recuperação 13,14 , monitoramento de uso de medicamentos 13 .…”

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“…O GPS e o GIS podem reduzir o tempo de coleta de dados, além de ter maior eficiência na supervisão dos dados, auxiliar na estimativa da carga epidemiológica e econômica da doença 12 . Demonstram ser eficientes, e têm boa relação custo-benefício para identificar e recrutar indivíduos de diversos grupos demográficos, incluindo raça e etnia, idade, gênero, geografia, urbanidade e status socioeconômico, e podem ser associados com dados de censos e ter parcerias com recursos da comunidade local 13 .…”

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