scholarly journals Sensor Technology in the Netherlands: State of the Art

1998 ◽  
Keyword(s):  
The Netherlands ◽  
State Of The Art ◽  
Sensor Technology

scholarly journals Unobtrusive Health Monitoring in Private Spaces: The Smart Home

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 864 ◽  
Author(s):  
Ju Wang ◽  
Nicolai Spicher ◽  
Joana M. Warnecke ◽  
Mostafa Haghi ◽  
Jonas Schwartze ◽  
...  
Keyword(s):  
Literature Review ◽  
Health Monitoring ◽  
Smart Home ◽  
State Of The Art ◽  
Home Health ◽  
Environmental Data ◽  
Behavioral Data ◽  
Sensor Technology ◽  
Current Sensor ◽  
Home Health Monitoring

With the advances in sensor technology, big data, and artificial intelligence, unobtrusive in-home health monitoring has been a research focus for decades. Following up our research on smart vehicles, within the framework of unobtrusive health monitoring in private spaces, this work attempts to provide a guide to current sensor technology for unobtrusive in-home monitoring by a literature review of the state of the art and to answer, in particular, the questions: (1) What types of sensors can be used for unobtrusive in-home health data acquisition? (2) Where should the sensors be placed? (3) What data can be monitored in a smart home? (4) How can the obtained data support the monitoring functions? We conducted a retrospective literature review and summarized the state-of-the-art research on leveraging sensor technology for unobtrusive in-home health monitoring. For structured analysis, we developed a four-category terminology (location, unobtrusive sensor, data, and monitoring functions). We acquired 912 unique articles from four relevant databases (ACM Digital Lib, IEEE Xplore, PubMed, and Scopus) and screened them for relevance, resulting in n=55 papers analyzed in a structured manner using the terminology. The results delivered 25 types of sensors (motion sensor, contact sensor, pressure sensor, electrical current sensor, etc.) that can be deployed within rooms, static facilities, or electric appliances in an ambient way. While behavioral data (e.g., presence (n=38), time spent on activities (n=18)) can be acquired effortlessly, physiological parameters (e.g., heart rate, respiratory rate) are measurable on a limited scale (n=5). Behavioral data contribute to functional monitoring. Emergency monitoring can be built up on behavioral and environmental data. Acquired physiological parameters allow reasonable monitoring of physiological functions to a limited extent. Environmental data and behavioral data also detect safety and security abnormalities. Social interaction monitoring relies mainly on direct monitoring of tools of communication (smartphone; computer). In summary, convincing proof of a clear effect of these monitoring functions on clinical outcome with a large sample size and long-term monitoring is still lacking.

scholarly journals Strategies of Climate Change Denial: The case of Thierry Baudet

MaRBLe ◽  
2019 ◽  
Vol 1 ◽  
Author(s):  
Roelien Van der Wel
Keyword(s):  
Climate Change ◽  
The Netherlands ◽  
State Of The Art ◽  
Theoretical Framework ◽  
The State ◽  
Climate Change Denial ◽  
Specific Focus ◽  
English Speaking ◽  
Anglo American

This paper discusses different strategies of climate change denial and focusses on the specific case of Dutch politician Thierry Baudet. Much of the literature concerning climate change denial focusses on Anglo-American cases, therefore more research non-English speaking countries is necessary. The theoretical framework describes the state of the art concerning climate change denialism and its links to occurring phenomena in Western societies and politics such as post-truth and populism. Afterwards, by conducting a deductive analysis of  Thierry Baudet’s climate denialism in the Netherlands, a more thorough understanding of the different strategies proposed by Stefan Rahmstorf  and Engels et al. is reached. Although all four categories are detected in Baudet’s denialism, consensus denial seems to be the most prevalent. The analysis of his usage of the notion of a climate apocalypse, combined with the analysis of his specific focus on consensus denial, broadens the understanding of how climate change denial can relate to populism. 

Deep Image Demosaicing for Submicron Image Sensors

2019 ◽  
Vol 63 (6) ◽  
pp. 60410-1-60410-12
Author(s):  
Irina Kim ◽  
Seongwook Song ◽  
Soonkeun Chang ◽  
Sukhwan Lim ◽  
Kai Guo
Keyword(s):  
Image Quality ◽  
Mobile Devices ◽  
State Of The Art ◽  
Image Sensor ◽  
Sensor Technology ◽  
Color Filter ◽  
Computationally Efficient ◽  
Linear Feature ◽  
Visual Artifacts ◽  
Very High

Abstract Latest trend in image sensor technology allowing submicron pixel size for high-end mobile devices comes at very high image resolutions and with irregularly sampled Quad Bayer color filter array (CFA). Sustaining image quality becomes a challenge for the image signal processor (ISP), namely for demosaicing. Inspired by the success of deep learning approach to standard Bayer demosaicing, we aim to investigate how artifacts-prone Quad Bayer array can benefit from it. We found that deeper networks are capable to improve image quality and reduce artifacts; however, deeper networks can be hardly deployed on mobile devices given very high image resolutions: 24MP, 36MP, 48MP. In this article, we propose an efficient end-to-end solution to bridge this gap—a duplex pyramid network (DPN). Deep hierarchical structure, residual learning, and linear feature map depth growth allow very large receptive field, yielding better details restoration and artifacts reduction, while staying computationally efficient. Experiments show that the proposed network outperforms state of the art for standard and Quad Bayer demosaicing. For the challenging Quad Bayer CFA, the proposed method reduces visual artifacts better than state-of-the-art deep networks including artifacts existing in conventional commercial solutions. While superior in image quality, it is 2‐25 times faster than state-of-the-art deep neural networks and therefore feasible for deployment on mobile devices, paving the way for a new era of on-device deep ISPs.

scholarly journals Aging in The Netherlands: State of the Art and Science

2013 ◽  
Vol 54 (3) ◽  
pp. 335-343 ◽  
Author(s):  
Carolien H. M. Smits ◽  
Hugo K. van den Beld ◽  
Marja J. Aartsen ◽  
Johannes J. F. Schroots
Keyword(s):  
The Netherlands ◽  
State Of The Art ◽  
Art And Science

scholarly journals Introduction to the Special Issue on “State-of-the-Art Sensor Technology in Japan 2015”

Sensors ◽  
2016 ◽  
Vol 16 (9) ◽  
pp. 1350
Author(s):  
Masahiro Tokumitsu ◽  
Yoshiteru Ishida
Keyword(s):  
State Of The Art ◽  
Sensor Technology ◽  
Special Issue
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