25 papers · ranked by Valyu relevance
István Barabás, Calin Iclodean, Horia Beles, Csaba Antonya + 3 more
A virtual model enables the study of reality in a virtual environment using a theoretical model, which is a digital image of a real model. The complexity of the virtual model must correspond to the reality of the evaluated system, becoming as complex as necessary and nevertheless as simple as possible, allowing for…
Zubair Khalid, Norsheila Fisal, Mohd. Rozaini
Wireless Sensor Network (WSN) is leading to a new paradigm of Internet of Everything (IoE). WSNs have a wide range of applications but are usually deployed in a particular application. However, the future of WSNs lies in the aggregation and allocation of resources, serving diverse applications. WSN virtualization by…
Chapa Sirithunge, Huijiang Wang, Fumiya Iida
Soft robots are characterized by their mechanical compliance, making them well-suited for various bio-inspired applications. However, the challenge of preserving their flexibility during deployment has necessitated using soft sensors which can enhance their mobility, energy efficiency, and spatial adaptability. Through…
Peter Peniak, Karol Rástočný, Alžbeta Kanáliková, Emília Bubeníková + 2 more
'Hossam A. Gabbar' 'Carosena Meola'] Applications of safety-related control systems demand reliable and credible inputs from physical sensors, therefore there is a need to extend their capabilities to provide a validated input with high availability. Our main idea is to insert virtual sensors between physical sensors…
Fadi AlMahamid, Hanan Lutfiyya, Katarina Grolinger
—This paper introduces the Virtual Sensor Middleware (VSM), which facilitates distributed sensor data processing on multiple fog nodes. VSM uses a Virtual Sensor as the core component of the middleware. The virtual sensor concept is redesigned to support functionality beyond sensor/device virtualization, such as…
Agnes Tegen, Paul Davidsson, Radu-Casian Mihailescu, Jan A. Persson
Although the availability of sensor data is becoming prevalent across many domains, it still remains a challenge to make sense of the sensor data in an efficient and effective manner in order to provide users with relevant services. The concept of virtual sensors provides a step towards this goal, however they are…
Leon Götz, Lars Frederik Peiss, Erik Sauer, Andreas Udo Sass + 3 more
Virtual sensors use machine learning to predict target signals from available measurements, replacing expensive physical sensors in critical applications. Existing virtual sensor approaches require application-specific models with hand-selected inputs for each sensor, cannot leverage task synergies, and lack consistent…
Kushagra Rastogi, Navreet Saini
— With the explosion in the field of Big Data and introduction of more stringent emission norms every three to five years, automotive companies must not only continue to enhance the fuel economy ratings of their products, but also provide valued services to their customers such as delivering engine performance and…
Lucia Sangiorgi, Veronica Sberveglieri, Claudio Carnevale, Sabrina De Nardi + 3 more
In recent years, the application of machine learning for virtual sensing has revolutionized the monitoring and management of information. In particular, electrochemical sensors generate large amounts of data, allowing the application of complex machine learning/AI models able to (1) reproduce the measured data and (2)…
João Rosas, Luís Brito Palma, Rui Azevedo Antunes, Roberto Teti
We live in an era characterized by Society 4.0 and Industry 4.0 where successive innovations that are more or less disruptive are occurring. Within this context, the modeling and simulation of dynamic supervisory and control systems require dealing with more sophistication and complexity, with effects in terms of…
Fengzhou Liang, Tian Min, Yuta Sugiura
In recent years, virtual sensing techniques have been extensively studied as a method of data collection in simulated virtual spaces for the development of human activity recognition (HAR) systems. To date, this technique has enabled the transformation between different modalities, significantly expanding datasets that…
Chayan Sarkar, Vijay S. Rao, Ramjee Prasad
—The lifetime of a wireless sensor network mainly depends on battery capacity and energy consumption at each node for operations such as, sensing, processing and communication. Popular approaches to save energy have been to intelligently duty cycle and restrict the frequency of these operations, rendering lower quality…
Mengjie Zhao, Cees Taal, Stephan Baggerohr, Olga Fink
- Introduces novel Heterogeneous Temporal Graph Neural Network for virtual sensing in complex systems with diverse sensor modalities. - Effectively integrates information from sensors with both intra-modality and inter-modality interactions. - Captures the influence of exogenous variables on sensor signals for robust…
Long Yan, Kevin Fu
While the embedded security research community aims to protect systems by reducing analog sensor side channels, our work argues that sensor side channels can be beneficial to defenders. This work introduces the general problem of synthesizing virtual sensors from existing circuits to authenticate physical sensors'…
Alain de Cheveigné
The “virtual electrode” is an appealing metaphor as it suggests that we can – with the right tools and skills – use macroscopic recording techniques such as EEG or MEG to place an electrode anywhere in the brain, and record from it as if it were a real, microscopic, electrode. Like every good metaphor, it can sometimes…
Kate A. Spitzley, Andrew R. Karduna
Commercially-available Virtual Reality (VR) systems have the potential to be effective tools for simultaneous visual manipulation and kinematic data collection. Previously, these systems have been integrated with research-grade motion capture systems to provide both functionalities; however, they are yet to be used as…
Judith Lim, Tansu Celikel
Close-loop control of brain and behavior will benefit from real-time detection of behavioral events to enable low-latency communication with peripheral devices. In animal experiments, this is typically achieved by using sparsely distributed (embedded) sensors that detect animal presence in select regions of interest.…
Björn Müller, Winfried Ilg, Martin A. Giese, Nicolas Ludolph
Optical motion capturing systems are expensive and require substantial dedicated space to be set up. On the other hand, they provide unsurpassed accuracy and reliability. In many situations however flexibility is required and the motion capturing system can only temporarily be placed. The Microsoft Kinect v2 sensor is…
Paul Morris, Cory Simon
In many gas sensing tasks, we simply wish to become aware of gas compositions that deviate from normal, "business-as-usual" conditions. We provide a methodology, illustrated by example, to computationally predict the performance of a gas sensor array design for detecting anomalous gas compositions. Specifically, we…
Lucie Denisart, Diana Zapata-Dominguez, Xavier David, Aubin Leclere + 5 more
The manufacturing process of batteries can be complex and time-consuming. We introduce a new version of the digital twin of our lithium ion battery pilot line, Simubat 4.0 Gen-2, based on a new combination of Virtual Reality and Mixed Reality. This digital twin is designed to deliver training on the lithium-ion battery…
Nickolas Gantzler, Adrian Henle, Praveen Thallapally, Xiaoli Fern + 1 more
A gravimetric, MOF-based (MOF = metal-organic framework) sensor array functions by measuring the mass of gas adsorbed in an array of MOFs. Changes in the gas composition are expected to produce detectable changes in the mass of gas adsorbed in the MOFs. In practical settings, multiple components of the gas adsorb into…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Lucie Denisart, Javier F. Troncoso, Emilie Loup-Escande, Alejandro A. Franco
In a scenario in which the manufacturing of high-performance, safe batteries on an unprecedented large scale is crucial for the energy transition and fight against climate change, research laboratories and cell production industries are facing challenges due to the lack of efficient data management and training tools.…
Nayan Bhatt, SKM Varadhan
Grasping of objects (Mason et al. 2001; Santello et al. 2002) or hand shaping during grasping is of interest in robotics, neuroscience, and biomechanics. In animation industry and biomechanics, tracking body and hand movements are essential. For tracking body movements and hand movements, a sizable number of markers…
Gbenga Fabusola, Gina Noh, Cory Simon
The cross-sensitivity of a gas sensor can be mitigated by installing a catalytic filter upstream. The objective of the filter is to convert interferents into species that interact weakly with the recognition element of the sensor. Mathematical models may be useful for optimizing the design parameters of the catalytic…