Engineers from the Massachusetts Institute of Technology, Nanyang Technological University, along with several companies have created a small and low-cost method for identifying and measuring lead levels in water.
Researchers have developed battery-less smart skins utilizing 5G technology and millimeter wave (mmWave) reflect-array-based sensors for self-monitoring megastructures. These sensors offer wide interrogation angles, high sensitivity, and precise strain monitoring in composite materials, revolutionizing structural health monitoring by providing continuous and accurate data without the need for batteries.
By Dr. Noopur Jain
14 May 2024
Researchers introduce a highly sensitive dual-gas detection system using photoacoustic spectroscopy (PAS) with a single-longitudinal-mode solid-state laser. Leveraging the tunability and stability of the solid-state laser, the system achieves exceptional sensitivity and accuracy in detecting multiple gases simultaneously, paving the way for enhanced gas sensing applications in various fields.
By Dr. Noopur Jain
13 May 2024
A group of Brazilian researchers led by professors Bruno Janegitz of the Federal University of São Carlos and Thiago Paixão of the University of São Paulo (USP), who heads the Electronic Tongues and Chemical Sensors Lab (L2ESQ), have now presented a very inventive solution that involves printing electrochemical sensors on fallen tree leaves. The research was published in the journal ACS Sustainable Chemistry & Engineering.
Researchers from Australia present a novel approach utilizing customized Fiber Bragg Grating (FBG) and optical cross-correlation for enhanced gas detection. By mimicking gas absorption bands, this technique offers high specificity and sensitivity, ensuring accurate detection across various concentrations and environmental conditions.
By Dr. Noopur Jain
9 May 2024
Researchers in China have developed a wavelet denoising approach to improve the accuracy of settlement location identification in fiber optic monitoring signals within permafrost regions. By selecting optimal wavelet basis functions and decomposition levels, they effectively reduced noise interference while preserving essential signal features, thus enhancing the reliability of infrastructure monitoring systems in challenging environmental conditions.
By Dr. Noopur Jain
8 May 2024
Chi Hwan Lee and his colleagues developed a smart neckband that tracks eating and drinking habits.
Researchers have developed a soft hydrogel-based bioadhesive interface to attach sensors to soft and fragile marine animals without causing harm. Published in Nature Communications, the study showcases the interface's rapid, robust, and non-invasive adhesion, enabling large-scale sensor deployments to study marine biomechanics, behaviors, and interspecific interactions.
By Dr. Noopur Jain
7 May 2024
Researchers introduced a novel approach to cardiovascular health monitoring by integrating a stroke-volume allocation (SVA) model with wearable sensors. Through comprehensive experiments and clinical trials, they demonstrated the effectiveness and accuracy of this model in assessing vascular age and detecting cardiovascular diseases, offering a promising solution for real-time monitoring and early intervention.
By Dr. Noopur Jain
6 May 2024
A recent study in Scientific Reports introduces a stochastic SEIRS model to dissect the intricate dynamics of worm transmission in wireless sensor networks (WSNs). By integrating environmental randomness, the research uncovers critical insights into malware propagation, paving the way for proactive control strategies to fortify network security against malicious attacks.
By Dr. Noopur Jain
2 May 2024
A research team at Pitt led by Alexander Star, a chemistry professor in the Kenneth P. Dietrich School of Arts and Sciences, has developed a fentanyl sensor that is six orders of magnitude more sensitive than any electrochemical sensor for the drug reported in the past five years.
A recent article in Scientific Reports introduces a novel Mach-Zehnder interference (MZI) temperature sensor chip designed on a silica substrate, addressing the challenges of temperature monitoring in seawater environments.
By Dr. Noopur Jain
1 May 2024
Researchers from the UK demonstrate the efficacy of self-supervised learning for human activity recognition using a vast wearable dataset. By addressing convergence issues and evaluating multi-task self-supervision, they showcase robust models with superior representation quality across diverse populations and activity types.
By Dr. Noopur Jain
30 Apr 2024
Researchers in Iran developed a pioneering sensor for simultaneous rotary and linear displacement measurements using soft pneumatic sensing chambers (SPSCs). This advancement addresses the limitations of traditional sensors, offering precise and flexible sensing capabilities crucial for various applications.
By Dr. Noopur Jain
29 Apr 2024
Fleet of ZX Lidars to support TR6 standalone Lidar bankable energy yield assessments