Publications associées à Mobility Improves Coverage of Sensor Networks

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

Josephine Anna Eleanor Hughes, Sudong Lee

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 ...

IEEE2024

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

Alcherio Martinoli, Emmanuel Droz, Wanting Jin

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 ...

2024

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

Sandro Carrara, Johanna Zikulnig, Jürgen Kosel

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 ...

Ieee-Inst Electrical Electronics Engineers Inc2024

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

Lakmal Buddika Meegahapola

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 ...

EPFL2024

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

Edoardo Charbon, Ashish Sharma, Francesco Piro

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 ...

Ieee-Inst Electrical Electronics Engineers Inc2023

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

Olga Fink, Mengjie Zhao, Keivan Faghih Niresi

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 ...

Institute of Electrical and Electronics Engineers2023

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

Mihai Adrian Ionescu, Shokoofeh Sheibani

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 ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Increasing Cellular Network Energy Efficiency for Railway Corridors

Ruben Merz, Andreas Peter Burg, Adrian Schumacher

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 ...

IEEE2022

Time-resolved physical spectrum in cavity quantum electrodynamics

Alexey Lyasota

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 ...

AMER PHYSICAL SOC2022

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

Roberto Guarino, Gianluca Piccinini

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 ...

2022

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

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

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 ...

ASSOC COMPUTING MACHINERY2022

Improving Railway Track Coverage with mmWave Bridges: A Measurement Campaign

Ruben Merz, Andreas Peter Burg, Adrian Schumacher

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 ...

ASSOC COMPUTING MACHINERY2021

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Nikolaos Geroliminis, Semin Kwak

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 ...

IEEE Institute of Electrical and Electronics Engineers2021

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

Mohammadmahdi Kiaee

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 ...

EPFL2021

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

Giovanni De Micheli, Sandro Carrara, Mandresy Ivan Ny Hanitra, Danilo Demarchi

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 ...

IEEE2020

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

Mohammad Khaja Nazeeruddin

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 ...

2020

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

Thomas Maeder, Jürgen Brugger, Mohammadmahdi Kiaee

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 ...

Wiley2020

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

Farhad Rachidi-Haeri, Mario Paolone, Reza Razzaghi, Zhaoyang Wang

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 ...

2020

Partial Discharge Localization Using Time Reversal: Application to Power Transformers

Farhad Rachidi-Haeri, Marcos Rubinstein, Mohammad Azadifar, Hamidreza Karami, Amirhossein Mostajabi

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 ...

2020

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

Thomas Maeder, Jürgen Brugger, Mohammadmahdi Kiaee

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 ...

IEEE2019