In-Time Prognosis Based on Swarm Intelligence for Home-Care Monitoring: A Case Study on Pulmonary Disease

Arpaïa, Pasquale; Manna, Carlo; Montenero, Giuseppe; D’Addio, Giovanni

doi:10.1109/jsen.2011.2158305

Cited by 21 publications

(6 citation statements)

References 19 publications

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“…Collective intelligence and nature-inspired computing represent an extremely interesting phenomenon that has been addressed in several application fields, e.g., smart cities [13], manufacturing [14], healthcare [15], energy [16], and finance [17].…”

Section: Backgroundsmentioning

confidence: 99%

Organizational and Technological Aspects of a Platform for Collective Food Awareness

Volpentesta

Felicetti

Frega

2018

Advances in Human-Computer Interaction

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Can Internet-of-food technologies foster collective food awareness within a food consumer community? The paper contributes to answer this question in a fourfold aspect. Firstly, we model a cooperative process for generating and sharing reliable food information that is derived from food instrumental measurements performed by consumers via smart food things. Secondly, we outline the functional architecture of a platform capable to support such a process and to let a consumer community share reliable food information. Thirdly, we identify main entities and their attributes necessary to model the contextualized interaction between a consumer and the platform. Lastly, we review articles reviewing technologies capable of acquiring and quantifying food characteristics for food performances assessment. The purpose is to give an insight into current research directions on technologies employable in a platform for collective food awareness.

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Section: Backgroundsmentioning

confidence: 99%

Organizational and Technological Aspects of a Platform for Collective Food Awareness

Volpentesta

Felicetti

Frega

2018

Advances in Human-Computer Interaction

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“…Several authors have reported on such systems. Arpaia et al (2012) proposed a method for home-care to predict a critical condition of a patient affected by a specific disease such as pulmonary disease.…”

Section: Biomedicalmentioning

confidence: 99%

Applying Software Engineering Methodology for Designing Biomedical Software Devoted To Electronic Instrumentation

Lima

Mara

Zacaro

et al. 2012

Journal of Computer Science

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Problem statement: Significant effort goes into the development of biomedical software, which is integrated with computers/processors, sensors and electronic instrumentation devoted to a specific application. However, the scientific work on electronic instrumentation controlled by biomedical software has not emphasized software development, instead focusing mainly on electronics engineering. The development team is rarely composed of Software Engineering (SE) experts. Usually, a commercial automated tools environment is not used due to its high cost and complexity for researchers from other areas to understand. Approach: This present study reports how the SE approach was applied to design and develop biomedical software, which is part of a Computerized Electronic Instrumentation (CEI). This CEI comprises software and an electronic instrumentation based on a force sensor and electrogoniometer to monitor the hand exertion of computer user during typing task. The aim is to serve as a guideline for academic researchers who are not expert in software engineering methodology but usually develop their own software to run with their CEI. The specification of the requirements, presented as use case, includes the context diagram, the data flow diagram, the entity relationship diagram and test procedure. The Unified Modelling Language from the Enterprise Architect tool was used. The developed software and the electronic instrumentation were tested together. Results: A sample of the interface screen shows how the outcomes could be plotted in an integrated manner. By comparing the values with other values obtained by manual calculations and with those provided by sensor manufacturer, the repeatability of test procedure validated the results. Reliable electronic instrumentation when working with unreliable software can become unreliable. Conclusion: Applying software engineering methodology principles provided a simple and clear documentation that was helpful to establish the test procedures and the re-work.

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“…The PV generator faults diagnosis [4][5][6][7] and prognosis [8][9][10][11][12] can stabilize its performance and ensure its availability and reliability. In this context, the paper objective is the development of an algorithm for the fault detection and diagnosis for a photovoltaic generator.…”

Section: Introductionmentioning

confidence: 99%

A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator

Rezgui

Mouss

et al. 2014

2014 First International Conference on Green Energy ICGE 2014

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This paper deals with a smart algorithm allowing short-circuit faults detection and diagnosis of PV generators. The proposed algorithm is based on the hybridization of a support vector machines (SVM) technique optimized by a k-NN tool for the classification of observations on the classifier itself or located in its margin.To test the proposed algorithm performance, a PV generator database containing observations distributed over classes is used for simulation purposes.

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In-Time Prognosis Based on Swarm Intelligence for Home-Care Monitoring: A Case Study on Pulmonary Disease

Cited by 21 publications

References 19 publications

Organizational and Technological Aspects of a Platform for Collective Food Awareness

Organizational and Technological Aspects of a Platform for Collective Food Awareness

Applying Software Engineering Methodology for Designing Biomedical Software Devoted To Electronic Instrumentation

A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator

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