Mobility Improves Coverage of Sensor Networks

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

The different receptors in human skin show not only diversity in the stimuli to which they respond, but also variable sensitivity and directionality. This is often determined by their location or morphology, and can play an important role in filtering or a ...

Static and mobile sensor nodes can be employed in gas monitoring tasks to detect gas leaks in an early stage and localize gas sources. Due to the intermittent nature of gas plumes and the slow dynamics of commonly used gas sensors, measuring gas concentrat ...

Addressing the environmental impact of electronic waste in biomedical sensing, an eco-conscious approach to the realization of a Chitosan-based Acetone sensor tag for wireless gas monitoring is presented. The fabrication involves inkjet printing of silver ...

A range of behavioral and contextual factors, including eating and drinking behavior, mood, social context, and other daily activities, can significantly impact an individual's quality of life and overall well-being. Therefore, inferring everyday life aspe ...

MALTA is a depleted monolithic active pixel sensor (DMAPS) developed in the Tower Semiconductor 180-nm CMOS imaging process. Monolithic CMOS sensors offer advantages over current hybrid imaging sensors in terms of both increased tracking performance due to ...

The use of Internet of Things (IoT) sensors for air pollution monitoring has significantly increased, resulting in the deployment of low-cost sensors. Despite this advancement, accurately calibrating these sensors in uncontrolled environmental conditions r ...

Fluoxetine (FL) is one of the selective serotonin reuptake inhibitors, which is used as an anti-depressant, as well as anti-panic drug. In this work, a sensor for label-free recognition of trace amounts of FL is introduced, which is based on an extended ga ...

Modern trains act as Faraday cages making it challenging to provide high cellular data capacities to passengers. A solution is the deployment of linear cells along railway tracks, forming a cellular corridor. To provide a sufficiently high data capacity, m ...

The time-resolved physical spectrum of luminescence is theoretically studied for a standard cavity quantum electrodynamics system. In contrast to the power spectrum for the steady state, the correlation functions up to the present time are crucial for the ...

Gas sensing systems and devices based on metal oxides are widely spreading due to their high performance in terms of sensor response and relatively low costs. Despite several experimental studies, as well as molecular simulations, are available in the lite ...

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in general mobile apps and valuable feedback and interventions in mobile health apps ...

Bringing cellular capacity into modern trains is challenging because they act as Faraday cages. Building a radio frequency (RF) corridor along the railway tracks ensures a high signal-to-noise ratio and limits handovers. However, building such RF corridors ...

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however, makes this prediction a challenging task. Here we propose to use dynamic linear models (DLMs) to a ...

Sensors capable of detecting and classifying volatile organic compounds (VOC) have been gaining more attention by the advent of internet-of-things (IoT) enabled devices and integration of various sensing elements into hand-held and portable devices. The re ...

Multi-ion potentiometric sensing becomes challenging for mixed-ion samples in which interfering electrolytes significantly alter the response of each single sensor. Therefore, an emulator based on the phase-boundary potential model is proposed to simulate ...

The emerging 5G mobile network technology is envisioned to provide an efficient platform to interconnect machines, objects, and devices in addition to interconnecting people. Equipped with peak data rates, low latency, and massive capacity, 5G technology w ...

The authors report the fabrication and characterization of chemiresistive sensors, composed of a thermoplastic elastomer (TPE), styrene‐ethylene‐ran‐butylene‐styrene, and a high‐structure carbon black (CB) targeted for detecting hydrocarbons at or near roo ...

The existing Electromagnetic Time Reversal (EMTR)-based fault location methods generally leverage the features of the signals simulated in the EMTR reversed-time stage (relative to the direct-time stage wherein a fault occurs and its originated transient s ...

In this work, we present a novel technique to locate partial discharge (PD) sources based on the concept of time reversal. The localization of the PD sources is of interest for numerous applications, including the monitoring of power transformers, Gas Insu ...

This paper presents a sensor for detecting volatile organic compounds with an inkjet-printed composite. The sensing material is composed of polystyrene (35 kg/mol molecular weight) and a high structure carbon black, Ketjenblack EC-600JD. We used a dual-sol ...

Mobility Improves Coverage of Sensor Networks

Chat with Graph Search

Morphological and Material Programability of a Hall-Effect Based Soft Tactile Sensors

Design and Evaluation of Modular Gas and Wind Sensing Nodes for Static and Mobile Deployments

Eco-Conscious Approach to Wireless Gas Monitoring With a Hybrid Printed Passive Sensor Tag

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Radiation Hardness of MALTA2, a Monolithic Active Pixel Sensor for Tracking Applications

Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems

Highly Sensitive Detection of the Antidepressant Fluoxetine With an Extended Gate Field Effect Transistor

Increasing Cellular Network Energy Efficiency for Railway Corridors

Time-resolved physical spectrum in cavity quantum electrodynamics

Modelling electronic transport in monocrystalline metal oxide gas sensors: from the surface kinetics to the experimental response

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Improving Railway Track Coverage with mmWave Bridges: A Measurement Campaign

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Inkjet-printed polymer composites for the detection of volatile organic compounds

Emulator Design and Generation of Synthetic Dataset in Multi-Ion Sensing

Dual Connectivity-Based Mobility Management and Data Split Mechanism in 4G/5G Cellular Networks

Inkjet‐Printed Composites for Room‐Temperature VOC Sensing: From Ink Formulation to Sensor Characterization

Electromagnetic Time Reversal Similarity Characteristics and its Application to Locating Faults in Power Networks

Partial Discharge Localization Using Time Reversal: Application to Power Transformers

Film Morphology Effect on VOC Sensor Performance Fabricated by Drop-On-Demand Inkjet-Printing