24 papers · ranked by Valyu relevance
Gunther Eysenbach, Ieuan Clay, Christian Angelopoulos, Anne Lord Bailey + 9 more
Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. In health care, we are experiencing a revolution in the use of sensors to collect data on patient behaviors and experiences. Yet, the potential…
Alasdair J. G. Gray, Jason Sadler, Oles Kit, Kostis Kyzirakos + 13 more
'Manos Karpathiotakis' 'Jean-Paul Calbimonte' 'Kevin Page' 'Raúl García-Castro' 'Alex Frazer' 'Ixent Galpin' 'Alvaro A. A. Fernandes' 'Norman W. Paton' 'Oscar Corcho' 'Manolis Koubarakis' 'David De Roure' 'Kirk Martinez' 'Asunción Gómez-Pérez'] Sensing devices are increasingly being deployed to monitor the physical…
Philipp Hertweck, Tobias Hellmund, Jürgen Moßgraber, Antonio Guerrieri
'Antonio Guerrieri'] Industrial Internet of Things (IIoT) applications are being used more and more frequently. Data collected by various sensors can be used to provide innovative digital services supporting increasing efficiency or cost reduction. The implementation of such applications requires the integration and…
Enoc Martínez, Daniel M. Toma, Simon Jirka, Joaquín Del Río
The study of global phenomena requires the combination of a considerable amount of data coming from different sources, acquired by different observation platforms and managed by institutions working in different scientific fields. Merging this data to provide extensive and complete data sets to monitor the long-term…
Michael Robinson
There is increasing concern within the data processing community about "swimming in sensors and drowning in data," [1] because unifying data across many disparate sources is difficult. This refrain is repeated throughout many scientific disciplines, because there are few treatments of unified models for complex…
Silvia Nittel
In the recent decade, several technology trends have influenced the field of geosciences in significant ways. The first trend is the more readily available technology of ubiquitous wireless communication networks and progress in the development of low-power, short-range radio-based communication networks, the…
Gabriel Mujica, Roberto Rodriguez-Zurrunero, Mark Richard Wilby, Jorge Portilla + 4 more
The explosion of the Internet of Things has dramatically increased the data load on networks that cannot indefinitely increment their capacity to support these new services. Edge computing is a viable approach to fuse and process data on sensor platforms so that information can be created locally. However, the…
Amber GF Griffiths, Joanne K Garrett, James P Duffy, Kaffe Matthews + 4 more
Sonic Kayaks are low-cost open-source systems for gathering fine-scale environmental data. The system is designed to be simple to fit on to standard kayaks or canoes, and full instructions have been made available for anyone wishing to build their own. The first version included temperature sensors and a hydrophone for…
Meisong Wang, Charith Perera, Prem Prakash Jayaraman, Miranda Zhang + 2 more
'Peter Strazdins' 'Rajiv Ranjan'] Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We introduce the concept of IoT…
Ninoshka K. Singh, Darrell O Ricke
Major companies, healthcare professionals, the military, and other scientists and innovators are now sensing that fitness and health data from wearable biosensors will likely provide new discoveries and insights into physiological, cognitive, and emotional health status of an individual. Having the ability to collect…
Adeyinka K. Akanbi, Muthoni Masinde
In the Internet of Things (IoT) domain, various heterogeneous ubiquitous devices would be able to connect and communicate with each other seamlessly, irrespective of the domain. Semantic representation of data through detailed standardized annotation has shown to improve the integration of the interconnected…
Rajeev Piyare, Seong Ro Lee
Cloud computing provides great benefits for applications hosted on the Web that also have special computational and storage requirements. This paper proposes an extensible and flexible architecture for integrating Wireless Sensor Networks with the Cloud. We have used REST based Web services as an interoperable…
Hanul Yeon, Dongsoo Har
Recent trend of railway train development can be characterized in several aspects : high speed, infortainment, intelligence in driving, and so on. In particular, trend of high speed in driving is prominent and competition for high speed amongst several techno-savvy countries is becoming severe. To achieve high speed…
Manish Gowda, Andrew Balmos, Shin Boonam, James V. Krogmeier
Research Authors: ['Manish Gowda' 'Andrew Balmos' 'Shin Boonam' 'James V. Krogmeier'] Effective strategies for sensor data management are essential for advancing transportation research, especially in the current data-driven era, due to the advent of novel applications in artificial intelligence. This paper presents…
Ritam Dutta, Bheem Dutt Joshi, Vineet Kumar, Amira Sharief + 4 more
Despite advancements in remote sensing, satellite imagery is underutilized in conservation research. Multispectral data from various sensors have great potential for mapping landscapes, but distinct spectral and spatial resolution capabilities are crucial for accurately classifying wildlife habitats. Our study aimed to…
Denise Marrero, Ferran Pujol-Vila, Eva Tuset, Gemma Gabriel + 3 more
Real-time monitoring of biological events is essential for advancing in drug testing, disease modeling, and precision medicine. However, conventional analytical methods often lack the spatiotemporal resolution to capture dynamic cellular responses, particularly in Organ-on-a-Chip (OoC) platforms and microphysiological…
Kai-Chun Lin, Marc Dandin
We report a 0.18 µm CMOS lab-on-a-chip system that monolithically integrates a passive radio frequency identification (RFID) interface and an 8 × 8 array of capacitance sensors configured for measuring the capacitance change resulting from an overlying biological specimen. This lab-on-CMOS platform is designed to…
Pierre Tremouilhac, Matthias Döring, Johannes Haubold, sylvia Vanderheiden + 4 more
The digitalization of processes in experimental laboratories often encounters obstacles with devices that lack connectivity with other systems. We propose a method to record and use values from such devices, demonstrating its effectiveness for weighing processes conducted using laboratory balances. Our developments…
Nayan Bhatt, SKM Varadhan
Grasping of objects (Mason et al. 2001; Santello et al. 2002) or hand shaping during grasping is of interest in robotics, neuroscience, and biomechanics. In animation industry and biomechanics, tracking body and hand movements are essential. For tracking body movements and hand movements, a sizable number of markers…
Shane O'Sullivan, Fernando Diaz, Ian Seymour, Alan O'Riordan
While electrochemically driven, pH control-enabled, dual electrode sensing under quiescent conditions is emerging as a viable electroanalytical method, application of this approach under hydrodynamic conditions is less well documented. In this work we report the development of a finite element model (COMSOL…
Justus T. Metternich, Björn Hill, Janus A. C. Wartmann, Chen Ma + 4 more
Enzymatic reactions are used to detect analytes in a range of biochemical methods such as enzyme-linked immunosorbent assays (ELISAs). To measure the presence of an analyte, they are conjugated to a recognition unit and convert a substrate into a (colored) product that is detectable by visible (VIS) light. Thus, the…
Richard Murray, Arbresha Muriqi, Cathal Larrigy, Alida Russo + 4 more
Volatile organic compounds (VOCs) are a common risk to human health in industrial and domestic settings. VOCs are often present at concentrations that cannot be detected through human odor perception. VOC sensors are, therefore, urgently needed for home and workplace environmental monitoring, including wearable sensors…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…
Authors not listed
High-quality data preprocessing is essential for untargeted metabolomics experiments, where increasing dataset scale and complexity demand adaptable, robust, and reproducible software solutions. Modern preprocessing tools must evolve to integrate seamlessly with downstream analysis platforms, ensuring efficient and…