Explanipedia

Improving the Power Consumption of Thread Mesh Networks Through Genetic Algorithm Optimization Open

Jair A. Lima Silva, Wesley Costa, Khandaker Mashrukul Islam, Jan Kleine Deters, Erwin W. J. Bergsma , et al. · 2024

Reliability is a constraint of low-power wireless connectivity, commonly addressed by the deployment of mesh topology. Accordingly, power consumption becomes a major concern during the design and implementation of such networks. Thus, a mo…

Monitoring challenging behaviors in dementia with sensor technology Open

B. Baidjnath Misier, J. Kleine-Deters, H. J. Wörtche, Sarah Janus, Sytse U. Zuidema · 2024

Purpose People with dementia (PwD) often present Behavioral and Psychological Symptoms of Dementia, which include agitation, apathy, and wandering amongst others, also known as challenging behaviors (CBs). These CBs worsen the quality of l…

AI-Driven Enhancements for Handover in Visible Light Communication Systems Open

Higor Camporez, Wesley Costa, Marcelo E. V. Segatto, Jair A. L. Silva, Jan Kleine Deters , et al. · 2024

A modified genetic algorithm (MGA) optimization procedure, alongside time series machine learning (ML) classifiers, is proposed to minimize handovers in a digital twin-based visible light communication (VLC) system. Frequent handovers have…

Optimizing a machine learning design of dielectric properties in lead-free piezoelectric ceramics Open

Hélder R. O. Rocha, Roy Roukos, Sara Abou Dargham, Jimmy Romanos, Denis Chaumont , et al. · 2024

Designing lead-free piezoelectric ceramics with tailored electrical properties remains a critical challenge for various applications. In this paper we present a novel methodology integrating Machine Learning (ML) and optimization procedure…

Sensor-based agitation prediction in institutionalized people with dementia A systematic review Open

Jan Kleine Deters, Sarah Janus, Jair A. Lima Silva, H. J. Wörtche, Sytse Zuidema · 2024

Early detection of agitation in individuals with dementia can lead to timely interventions, preventing the worsening of situations and enhancing their quality of life. The emergence of multi-modal sensing and advances in artificial intelli…

Optimizing a Machine Learning Design of Dielectric Properties in Lead-Free Piezoelectric Ceramics Open

Hélder R. O. Rocha, Roy Roukos, Sara Abou Dargham, Jimmy Romanos, Denis Chaumont , et al. · 2024

Splitting of the Pygmy Dipole Resonance Open

D. Savran, A. M. van den Berg, J. Endres, M.N. Harakeh, N. Pietralla , et al. · 2024

We report on experiments using the (α, α′ γ) method to investigate the structure of the Pygmy Dipole Resonance (PDR) in the nuclei ⁹⁴Mo, ¹²⁴Sn, ¹³⁸Ba and ¹⁴⁰Ce. The experiments were performed with the Big-Bite Spectrometer (BBS) at the KVI…

Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competition Open

Luan C. Klein, João Mendes, João Braun, Felipe N. Martins, André Schneider de Oliveira , et al. · 2024

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilizatio…

Sensortechnology for monitoring challenging behavior in nursing home residents with dementia Open

Jan Kleine Deters, Rinesh Baidjnath Misier, Sarah Janus, Huibert Burger, H. J. Wörtche , et al. · 2023

Background: Neuropsychiatric symptoms (NPS) are common in affected individuals and can be challenging for (in)formal caregivers. Therefore, they are also referred to as challenging behaviors (CBs). Sensor technology measuring context and b…

Machine Learning Method and Visible Light-Based Sensors for Multiinterface Level Measurement Open

Hélder R. O. Rocha, Ricardo Natale, Arthur Coelho Estevão, Danilo M. Louzada, Arnaldo Leal‐Junior , et al. · 2023

In this work, a feasible and low-cost approach is proposed for level measurement in multiphase systems inside tanks used for petroleum-derived oil production. The developed level sensor system consisted of light-emitting diodes (LEDs), lig…

Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study Open

Luan C. Klein, João Braun, Felipe N. Martins, H. J. Wörtche, André Schneider de Oliveira , et al. · 2023

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its …

A Machine Learning Approach to Robot Localization Using Fiducial Markers in RobotAtFactory 4.0 Competition Open

Luan C. Klein, João Braun, João Mendes, Vítor H. Pinto, Felipe N. Martins , et al. · 2023

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting …

Optimizing Resources and Increasing the Coverage of Internet-of-Things (IoT) Networks: An Approach Based on LoRaWAN Open

Matheus Araujo Gava, Hélder R. O. Rocha, Menno J. Faber, Marcelo E. V. Segatto, H. J. Wörtche , et al. · 2023

A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation and the mainten…

An Inkjet-Printed Piezoresistive Bidirectional Flow Sensor Open

Debarun Sengupta, Srikanth Birudula, H. J. Wörtche, Ajay Giri Prakash Kottapalli · 2022

This work reports the fabrication of a titanium carbide nanoparticle-based inkjet printed flexible bidirectional flow sensor. The design of the flow sensor consists of an inkjet printed titanium carbide piezoresistive strain gauge on a pol…

Reinforcement Learning for Collaborative Robots Pick-and-Place Applications: A Case Study Open

Natanael Magno Gomes, Felipe N. Martins, José Lima, H. J. Wörtche · 2022

The number of applications in which industrial robots share their working environment with people is increasing. Robots appropriate for such applications are equipped with safety systems according to ISO/TS 15066:2016 and are often referre…

Deep Reinforcement Learning Applied to a Robotic Pick-and-Place Application Open

Natanael Magno Gomes, Felipe N. Martins, José Lima, H. J. Wörtche · 2021

Remote Lab Didactics Open

Eti de Vries, H. J. Wörtche · 2020

Go-With-the-Flow Swarm Sensing in Inaccessible Viscous Media Open

Erik H. A. Duisterwinkel, Gijs Dubbelman, Elena Talnishnikh, J.W.M. Bergmans, H. J. Wörtche , et al. · 2019

This paper extends the 'go-with-the-flow' method to explore enclosed environments, like oil reservoirs, pipe lines that transport liquids, and industrial tanks for processing chemicals, where sensing nodes cannot establish communication wi…

Anwendung von Sensortechnologien in der intelligenten Produktion Open

Wolfgang Arens‐Fischer, H. J. Wörtche · 2019

Smart (Sensor) Systems Open

H. J. Wörtche · 2019

Invited talk presented during the execution of the Memorandum of Understanding between Tinajin University and the Dutch Hanze and Saxion Universities of Applied Sciences.

Sensor Motes for the Exploration and Monitoring of Operational Pipelines Open

Erik H. A. Duisterwinkel, Elena Talnishnikh, Dirkjan Krijnders, H. J. Wörtche · 2018

We report on a first field test in which miniaturized sensor motes were used to explore and inspect an operational pipeline by performing in situ measurements. The spherical sensor motes with a diameter of 39 mm were equipped with an inert…

Robust Reconstruction of Sensor Swarms Floating through Enclosed Environments Open

Erik H. A. Duisterwinkel, Gijs Dubbelman, Libertario Demi, Elena Talnishnikh, H. J. Wörtche , et al. · 2018

A novel type of application for the exploration of enclosed or otherwise difficult to access environments requires large quantities of miniaturized sensor nodes to perform measurements while they traverse the environment in a “go with the …

Thermal comfort in urban green spaces: a survey on a Dutch university campus Open

Yafei Wang, R.S. de Groot, Frank G. A. de Bakker, H. J. Wörtche, Rik Leemans · 2016

Spatial anomaly detection in sensor networks using neighborhood information Open

H.H.W.J. Bosman, Giovanni Iacca, Arturo Tejada, H. J. Wörtche, Antonio Liotta · 2016

The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capability, has now matured after a decade-long research effort and technological advances in electronics and networked systems. An important remain…

A new compact neutron/gamma ray scintillation detector Open

Andy Buffler, Angus Comrie, F. D. Smit, H. J. Wörtche · 2016

Progress towards the realization of a new compact neutron spectrometer is described. The detector is based on EJ299-33 plastic scintillator coupled to silicon photomultipliers, and a digital implementation of pulse shape discrimination is …

The pygmy quadrupole resonance and neutron-skin modes in 124 Sn Open

M. Spieker, N. Tsoneva, V. Derya, J. Endres, D. Savran , et al. · 2015

Effects of urban green infrastructure (UGI) on local outdoor microclimate during the growing season Open

Yafei Wang, Frank G. A. de Bakker, R.S. de Groot, H. J. Wörtche, Rik Leemans · 2015

This study analyzed how the variations of plant area index (PAI) and weather conditions alter the influence of urban green infrastructure (UGI) on microclimate. To observe how diverse UGIs affect the ambient microclimate through the season…

Quantifying Postural Control during Exergaming Using Multivariate Whole-Body Movement Data: A Self-Organizing Maps Approach Open

Mike van Diest, Jan Stegenga, H. J. Wörtche, Jos B. T. M. Roerdink, G.J. Verkerke , et al. · 2015

Older adults display more variable sway behavior than young adults, when playing the exergame under complex task conditions. The SOM features characterizing movement patterns expressed during exergaming allow for discriminating between you…

Ensembles of incremental learners to detect anomalies in ad hoc sensor networks Open

H.H.W.J. Bosman, Giovanni Iacca, Arturo Tejada, H. J. Wörtche, Antonio Liotta · 2015

Tests of pulse shape discrimination with EJ299-33 plastic scintillator for use in portable spectroscopy Open

Angus Comrie, Andy Buffler, F. D. Smit, H. J. Wörtche · 2015

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