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…
Zhaoxi Zhang, Prince Michael Amegbor, Clive Eric Sabel, Mario Munoz-Organero
'Mario Munoz-Organero'] The ever-growing development of sensor technology brings new opportunities to investigate impacts of the outdoor environment on human health at the individual level. However, there is limited literature on the use of multiple personalized sensors in urban environments. This review paper focuses…
Jingru Zhang, Erjia Cui, Hongzhe Li, Haochang Shou
Wearable devices and digital phenotyping are increasingly used in observational and interventional studies to measure real-time biosignals such as physical activity. However, integrating and comparing data across studies and cohorts remains challenging due to variability in device types, acquisition protocols, and…
Md. Tasnim Rana, Md. Shariful Islam, Azizur Rahman, Tao Liu
The importance of bio-robotics has been increasing day by day. Researchers are trying to mimic nature in a more creative way so that the system can easily adapt to the complex nature and its environment. Hence, bio-robotic grippers play a role in the physical connection between the environment and the bio-robotics…
Jingru Zhang, Erjia Cui, Hongzhe Li, Haochang Shou
Wearable devices and digital phenotyping are increasingly used in observational and interventional studies to assess physical activity. However, integrating and comparing data across studies and cohorts remains challenging due to variability in device types, acquisition protocols, and preprocessing methods. A key…
Jaejun Lee, Yonggyun Yu, Hogeon Seo
Multi-channel sensor data often suffer from missing or corrupted values due to sensor failures, communication disruptions, or environmental interference. These issues severely limit the accuracy of intelligent systems relying on sensor data integration. Existing data restoration techniques often fail to capture complex…
Ali Jia, Ziwei Cai, Xiaoyuan Liu, Kechen Zheng + 2 more
With the rapid development of artificial intelligence technology, the transportation, industry, and healthcare fields are undergoing an intelligent evolution. These advancements have raised higher requirements for technologies such as mobile robots, wearable intelligent agents, self-driving cars, and unmanned aerial…
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…
Erik Hernández-Rodríguez, Rosa Amalia González-Rivero, Olivier Schalm, Alain Martínez + 5 more
'Alain Martínez' 'Luis Hernández' 'Daniellys Alejo-Sánchez' 'Tim Janssens' 'Werner Jacobs' 'Paul A. Solomon'] This contribution shows the possibilities of applying a low-cost, multi-purpose data logger built around an Arduino Mega 2560 single-board computer. Most projects use this kind of hardware to develop…
Yunqi Guo, Kaiyuan Hou, Heming Fu, Hongkai Chen + 3 more
Presentation Authors: ['Yunqi Guo' 'Kaiyuan Hou' 'Heming Fu' 'Hongkai Chen' 'Zhenyu Yan' 'Guoliang Xing' 'Xiaofan Jiang'] Understanding sensor data can be challenging for non-experts because of the complexity and unique semantic meanings of sensor modalities. This calls for intuitive and effective methods to present…
Tomás Domínguez-Bolaño, Valentín Barral, Carlos J. Escudero, José A. García‐Naya
This article discusses the development of an IoT system for monitoring and controlling various devices and systems from different vendors. The authors considered key challenges in IoT projects, such as interoperability and integration, scalability, and data storage, processing, and visualization, during the design and…
Chito Petilla
Multiple advantages had been identified with the integration of data acquisition into any existing system configuration and implementation. Using data acquisition as a support into a monitoring system has not only improved its overall performance and reliability but also lowered its operational and maintenance cost…
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…
Alexandros Gazis, Ioannis Papadongonas, Athanasios Andriopoulos, Constantinos Zioudas + 1 more
This article provides a comprehensive overview of sensors commonly used in low-cost, low-power systems, focusing on key concepts such as Internet of Things (IoT), Big Data, and smart sensor technologies. It outlines the evolving roles of sensors, emphasizing their characteristics, technological advancements, and the…
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…
Khalid Elgazzar, Haytham Khalil, Taghreed Alghamdi, Ahmed O. Badr + 3 more
'Ghadeer Abdelkader' 'Abdelrahman Elewah' 'Rajkumar Buyya'] Abstract—The Internet of Things (IoT) has brought the dream of ubiquitous data access from physical environments into reality. IoT embeds sensors and actuators in physical objects so that they can communicate and exchange data between themselves to improve…
Aziz Fouché, Loïc Chadoutaud, Olivier Delattre, Andrei Zinovyev
Data integration of single-cell data describes the task of embedding datasets obtained from different sources into a common space, so that cells with similar cell type or state end up close from one another in this representation independently from their dataset of origin. Data integration is a crucial early step in…
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…
Nicolas Le Guillarme, Wilfried Thuiller
With the rapid accumulation of biodiversity data, data integration has emerged as a hot topic in soil ecology. Data integration has indeed the potential to advance our knowledge of global patterns in soil biodiversity by facilitating large-scale meta-analytical studies of soil ecosystems. However, ecologists are still…
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…