scholarly journals Contribution of New Sensors to Cartography

10.5772/48258 ◽  
2012 ◽  
Author(s):  
Carla Bernadete Madureira Cruz ◽  
Rafael Silva de Barros
Keyword(s):  
New Sensors

Comparison of two devices for measuring exercise transcutaneous oxygen pressures in patients with claudication

VASA ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 355-362 ◽  
Author(s):  
Marie Urban ◽  
Alban Fouasson-Chailloux ◽  
Isabelle Signolet ◽  
Christophe Colas Ribas ◽  
Mathieu Feuilloy ◽  
...  
Keyword(s):  
Oxygen Pressure ◽  
Optical Sensors ◽  
Chemical Sensors ◽  
Transcutaneous Oxygen ◽  
Starting Values ◽  
Two Systems ◽  
Transcutaneous Oxygen Pressure ◽  
New Sensors ◽  
Changes Over Time ◽  
Over Time

Abstract. Summary: Background: We aimed at estimating the agreement between the Medicap® (photo-optical) and Radiometer® (electro-chemical) sensors during exercise transcutaneous oxygen pressure (tcpO2) tests. Our hypothesis was that although absolute starting values (tcpO2rest: mean over 2 minutes) might be different, tcpO2-changes over time and the minimal value of the decrease from rest of oxygen pressure (DROPmin) results at exercise shall be concordant between the two systems. Patients and methods: Forty seven patients with arterial claudication (65 + / - 7 years) performed a treadmill test with 5 probes each of the electro-chemical and photo-optical devices simultaneously, one of each system on the chest, on each buttock and on each calf. Results: Seventeen Medicap® probes disconnected during the tests. tcpO2rest and DROPmin values were higher with Medicap® than with Radiometer®, by 13.7 + / - 17.1 mm Hg and 3.4 + / - 11.7 mm Hg, respectively. Despite the differences in absolute starting values, changes over time were similar between the two systems. The concordance between the two systems was approximately 70 % for classification of test results from DROPmin. Conclusions: Photo-optical sensors are promising alternatives to electro-chemical sensors for exercise oximetry, provided that miniaturisation and weight reduction of the new sensors are possible.

scholarly journals Invasive Devices and Sensors for Remote Care of Heart Failure Patients

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2014
Author(s):  
Sumant P. Radhoe ◽  
Jesse F. Veenis ◽  
Jasper J. Brugts
Keyword(s):  
Heart Failure ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
Acute Decompensated Heart Failure ◽  
Admission Rate ◽  
Decompensated Heart Failure ◽  
Hospital Admission Rate ◽  
Remote Care ◽  
New Sensors ◽  
Near Future

The large and growing burden of chronic heart failure (CHF) on healthcare systems and economies is mainly caused by a high hospital admission rate for acute decompensated heart failure (HF). Several remote monitoring techniques have been developed for early detection of worsening disease, potentially limiting the number of hospitalizations. Over the last years, the scope has been shifting towards the relatively novel invasive sensors capable of measuring intracardiac filling pressures, because it is believed that hemodynamic congestion precedes clinical congestion. Monitoring intracardiac pressures may therefore enable clinicians to intervene and avert hospitalizations in a pre-symptomatic phase. Several techniques have been discussed in this review, and thus far, remote monitoring of pulmonary artery pressures (PAP) by the CardioMEMS (CardioMicroelectromechanical system) HF System is the only technique with proven safety as well as efficacy with regard to the prevention of HF-related hospital admissions. Efforts are currently aimed to further develop existing techniques and new sensors capable of measuring left atrial pressures (LAP). With the growing body of evidence and need for remote care, it is expected that remote monitoring by invasive sensors will play a larger role in HF care in the near future.

scholarly journals Near-Field Communication in Biomedical Applications

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 703
Author(s):  
Sung-Gu Kang ◽  
Min-Su Song ◽  
Joon-Woo Kim ◽  
Jung Woo Lee ◽  
Jeonghyun Kim
Keyword(s):  
Blood Flow ◽  
Communication Technology ◽  
Biomedical Applications ◽  
Daily Life ◽  
Near Field ◽  
Near Field Communication ◽  
Disease Monitoring ◽  
Payment Methods ◽  
New Sensors ◽  
Biomedical Fields

Near-field communication (NFC) is a low-power wireless communication technology used in contemporary daily life. This technology contributes not only to user identification and payment methods, but also to various biomedical fields such as healthcare and disease monitoring. This paper focuses on biomedical applications among the diverse applications of NFC. It addresses the benefits of combining traditional and new sensors (temperature, pressure, electrophysiology, blood flow, sweat, etc.) with NFC technology. Specifically, this report describes how NFC technology, which is simply applied in everyday life, can be combined with sensors to present vision and opportunities to modern people.

Development of tests of increased reliability sensors for inspection system of axle box heating

2021 ◽  
pp. 39-45
Author(s):  
Evgeniy Viktorovich Kozeev ◽  
◽  
Oleg Sergeevich Samoshkin ◽  
Evgeniy Nikolaevich Popov ◽  
Valeriy Evgenyevich Volkov ◽  
...  
Keyword(s):  
Main Element ◽  
Inspection System ◽  
Thermal Sensor ◽  
Thermal Sensors ◽  
Passenger Cars ◽  
Control Operation ◽  
Roller Bearings ◽  
Pilot Batch ◽  
New Sensors

All the domestic passenger cars since 1960 are produced only on bogies with roller bearings. A transition to roller bearings demanded the cars to be equipped with inspection system of axle box heating. It is necessary because axle box be heated over a specified temperature that leads to deterioration of the oil lubricity. The main element of the inspection system of axle box heating is a thermal sensor that is installed on each axle box. Nowadays, bolster bogies of all models are equipped with type 393 thermal sensors. At introduction of new bolsterless bogies the installation of the type 393 thermal sensors on the axle boxes was carried out with the use of special brass adapter. The observations in operation showed insufficient reliability of the inspection system of axle box heating in bolsterless bogies. Consequently, the authors have carried out research on new increased reliability thermal sensors. The pilot batch has passed preliminary and acceptance rig tests. On the results of the rig tests it has been decided to carry out an under-control operation on mainline passenger cars. The under-control operation with new sensors has been carried out on the basis of the Novosibirsk passenger wagon depot. On the basis of its results the authors have established the required temperature of the inspection system of axle box heating actuation.

scholarly journals Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models

Informatics ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 38 ◽  
Author(s):  
Martin Jänicke ◽  
Bernhard Sick ◽  
Sven Tomforde
Keyword(s):  
Activity Recognition ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Recognition System ◽  
Training Data ◽  
Sensor Data ◽  
Activity Data ◽  
High Loss ◽  
New Sensors ◽  
Self Adaptive

Personal wearables such as smartphones or smartwatches are increasingly utilized in everyday life. Frequently, activity recognition is performed on these devices to estimate the current user status and trigger automated actions according to the user’s needs. In this article, we focus on the creation of a self-adaptive activity recognition system based on IMU that includes new sensors during runtime. Starting with a classifier based on GMM, the density model is adapted to new sensor data fully autonomously by issuing the marginalization property of normal distributions. To create a classifier from that, label inference is done, either based on the initial classifier or based on the training data. For evaluation, we used more than 10 h of annotated activity data from the publicly available PAMAP2 benchmark dataset. Using the data, we showed the feasibility of our approach and performed 9720 experiments, to get resilient numbers. One approach performed reasonably well, leading to a system improvement on average, with an increase in the F-score of 0.0053, while the other one shows clear drawbacks due to a high loss of information during label inference. Furthermore, a comparison with state of the art techniques shows the necessity for further experiments in this area.

scholarly journals DFT Study on Adsorption of Volatile Organic Compounds on Silicene

10.29007/bcpg ◽  
2020 ◽  
Author(s):  
Trong Lam Pham ◽  
Van On Vo ◽  
Van An Dinh
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Potential Energy Surfaces ◽  
Early Stage ◽  
Volume Ratio ◽  
Simulation Method ◽  
Early Diagnosis Of Cancer ◽  
Volatile Organic ◽  
Energy Surfaces ◽  
New Sensors

Cancer can be regarded as a rising threat to modern societies. Detecting cancer at an early stage significantly improves the durability of the disease; unfortunately, currently available methods for early diagnosis of cancer are scarce and inefficient. In fact, the concentration of Volatile Organic Compounds (VOCs) in cancer patients in the breath is different from that in normal people. Therefore, the development of new sensors that can detect VOCs with low concentrations at the early stage of cancer, is desirable. 2D materials are expected as attractive materials for these sensors due to their large surface area to volume ratio. In this work, we investigated the adsorption mechanism of some small-to-medium VOCs on the surface of silicene by the quantum simulation method. The images of the potential energy surfaces for different positions of the adsorbate on the silicene surface were explored by Computational DFT-based Nanoscope for the determination of the most stable configurations and diffusion possibilities. The adsorption energy profiles were calculated by three approximations of van der Waals interaction: revPBE-vdW, optPBE-vdW, and vdW-DF2. It is found that the adsorption energies of the VOCs in question vary in the range of 0.6-1.0 eV, which indicates that silicene is considerably sensitive with these VOCs. The charge transfer between the substrate and VOCs was also addressed.

scholarly journals Using LoRaWAN smart city infrastructure as backup network for Industry 4.0 enabled vehicles

2019 ◽  
Author(s):  
Paolo Ferrari ◽  
Emiliano Sisinni ◽  
Dhiego Fernandes Carvalho ◽  
Gabriel Signoretti ◽  
Marianne D da Silva ◽  
...  
Keyword(s):  
Smart City ◽  
Industry 4.0 ◽  
Intelligent Vehicles ◽  
The Internet ◽  
Automotive Sector ◽  
Viable Option ◽  
Data Link ◽  
Embedded Platform ◽  
Internet Connection ◽  
New Sensors

Intelligent vehicles are the very next future of the automotive sector, which is renewing itself following Industry 4.0 paradigms. Today, car manufacturers are rapidly increasing the number of vehicles that continuously transmit data to the Internet, in order to enable the virtuous feedback paths foreseen by Industry 4.0. Such data are used to improve production (and products) during the entire lifetime of plants (and cars, also). A data link between on board devices and Internet must be created. Currently, the OBD (On Board Diagnostic) interface is available in the majority of cars and trucks. Some Edge devices with OBD and 3G/4G modems have been created, enabling easy Internet connection. However, congestion situation, as well as temporary outages, may create significant holes in the 3G/4G coverage. Recently, the transformation of city into Smart City is begun. An impressive number of new sensors are deployed in urban area. New wireless technologies are on the rise and, among them, LoRaWAN is the most used. If a vehicle is considered like a mobile sensor, then a viable option to fill 3G/4G gaps is the use of LoRaWAN infrastructure inside a Smart City. This paper deals with the creation of the prototype of an embedded platform which includes both OBD-II interface, 3G/4G connectivity and also LoRaWAN for backup situation. Considering the Smart City use cases, the application constrains regarding intelligent vehicles are discussed in order highlight design directions for the correct integration with the LoRaWAN infrastructure.

scholarly journals UAV MULTISPECTRAL SURVEY TO MAP SOIL AND CROP FOR PRECISION FARMING APPLICATIONS

2016 ◽  
Vol XLI-B1 ◽  
pp. 1023-1029 ◽  
Author(s):  
Giovanna Sona ◽  
Daniele Passoni ◽  
Livio Pinto ◽  
Diana Pagliari ◽  
Daniele Masseroni ◽  
...  
Keyword(s):  
Bare Soil ◽  
Precision Farming ◽  
Surface Model ◽  
Maximum Height ◽  
Test Field ◽  
Scientific Software ◽  
Soil Indices ◽  
Optimal Procedures ◽  
New Sensors ◽  
Water Nutrients

New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multispectral aerial data about soil and crop and ground-based proximal geophysical data are a recent research topic aimed to delineate homogeneous zones for the management of agricultural inputs (i.e., water, nutrients). Multispectral and multitemporal orthomosaics were produced over a test field (a 100 m x 200 m plot within a maize field), to map vegetation and soil indices, as well as crop heights, with suitable ground resolution. UAV flights were performed in two moments during the crop season, before sowing on bare soil, and just before flowering when maize was nearly at the maximum height. Two cameras, for color (RGB) and false color (NIR-RG) images, were used. <br><br> The images were processed in Agisoft Photoscan to produce Digital Surface Model (DSM) of bare soil and crop, and multispectral orthophotos. To overcome some difficulties in the automatic searching of matching points for the block adjustment of the crop image, also the scientific software developed by Politecnico of Milan was used to enhance images orientation. <br><br> Surveys and image processing are described, as well as results about classification of multispectral-multitemporal orthophotos and soil indices.

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