Sensors and Technologies in Spain: State-of-the-Art

Pajares, Gonzalo

doi:10.3390/s140815282

Cited by 6 publications

(3 citation statements)

References 88 publications

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“…These situations affect measurement accuracy. Surface roughness or non-coplanar layers are critical because they involve the modification of the geometrical properties of the surface, causing thermal instabilities of several technological devices [41]. Dusty or damage surfaces can have an impact on the adhesion of the sensor to the building component.…”

Section: Criteria For a Ch Compatible Monitoring Systemmentioning

confidence: 99%

Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls

et al. 2019

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This article aims to properly assess the hygrothermal properties of walls located in historic buildings, this study discloses the development of a remote sensing technology compatible with an in-situ measurement implemented in Palazzo Tassoni (Italy). As required by the international recommendations adapted to cultural heritage (CH), this monitoring system balances CH conservation, performance aspects and economic costs using an integrated multidisciplinary approach. Electronics for measurement of environmental parameters is composed of sensor measurements, data acquisition system and data storage and communication system. Data acquisition system, equipped with standard modbus-rtu interface, is designed to run standalone and it is based on two cloned single board PCs to reduce the possibility of data loss. In order to reduce the costs, RaspberryPI single board PCs were chosen. These run a C/C++ software based on standard modbus library and designed to implement multi-client server TCP/IP to allow communication with other devices. Storage and communication systems are based on an industrial PC; it communicates with sensor measurements’ system through a modbus-TCPIP bridge. PC runs a Labview software to provide data storage on a local database and graphical user interface to properly see all acquired data. Herein, some sensing options and approaches of measurement are described, unveiling different possible ways of enhancing the retrofit of CH with adapted technology.

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Section: Criteria For a Ch Compatible Monitoring Systemmentioning

confidence: 99%

Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls

et al. 2019

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“…Figure 1 presents an outline of the interactions that occur between the different entities of the IoT. IoT involves, in the context of wireless sensor networks (WSNs), connecting objects to the Web, allowing them communicating with other devices, objects, and people [6].…”

Section: Internet Of Thingsmentioning

confidence: 99%

IoT and iTV for Interconnection, Monitoring, and Automation of Common Areas of Residents

Sánchez

González-Contreras

Agudo³

et al. 2017

Applied Sciences

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“…In 2D situation, Fourier transform (FT) decomposes an image into frequency domain, and FT coefficients played an important role in many academic domains. 32 A novel variant of FT, namely, FRFT was proven to have better performance than FT. 33 Suppose function x(t) is in the time domain (can be easily extended to 2D situation) and its a-angle FRFT spectrum X a (f) is in the time-frequency domain, we have…”

Section: Frftmentioning

confidence: 99%

Computer-aided diagnosis of abnormal breasts in mammogram images by weighted-type fractional Fourier transform

Zhang

Wang

Liu

et al. 2016

Advances in Mechanical Engineering

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Abnormal breast can be diagnosed using the digital mammography. Traditional manual interpretation method cannot yield high accuracy. In this study, we proposed a novel computer-aided diagnosis system for detecting abnormal breasts. Our dataset contains 200 mammogram images with size of 1024 3 1024. First, we segmented the region of interest from mammogram images. Second, the fractional Fourier transform was employed to obtain the unified time-frequency spectrum. Third, spectrum coefficients were reduced by principal component analysis. Finally, both support vector machine and k-nearest neighbors were used and compared. The proposed ''weighted-type fractional Fourier transform + principal component analysis + support vector machine'' achieved sensitivity of 92.22% 6 4.16%, specificity of 92.10% 6 2.75%, and accuracy of 92.16% 6 3.60%. It is better than both the proposed ''weighted-type fractional Fourier transform + principal component analysis + k-nearest neighbors'' and other five state-of-the-art approaches in terms of sensitivity, specificity, and accuracy. The proposed computer-aided diagnosis system is effective in detecting abnormal breasts.

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Sensors and Technologies in Spain: State-of-the-Art

Cited by 6 publications

References 88 publications

Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls

Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls

IoT and iTV for Interconnection, Monitoring, and Automation of Common Areas of Residents

Computer-aided diagnosis of abnormal breasts in mammogram images by weighted-type fractional Fourier transform

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