Smart Building Sensitive to Daily Sentiment

Informazioni relative al progetto

SUSTAIN

ID dell’accordo di sovvenzione: 101071179

DOI

10.3030/101071179

Progetto chiuso

Data della firma CE 23 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 31 Marzo 2026

Finanziato da

• The European Innovation Council (EIC)

Costo totale

€ 2 550 196,25

Contributo UE

€ 2 550 196,00

Coordinato da

AALTO KORKEAKOULUSAATIO SR
Finland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (25)

Homomorphic encryption for physical-layer probabilistic communication

This deliverable contains developing a physical layer representation of the burst sequences that ensures data encryption while still allowing additive aggregation through simultaneously transmitted data.

Comparative analysis of results

Comparative analysis of the models developed in T3.1, and a systematic test of theframework developed in T3.2.

Application scenarios, business plan, road map: use of the new technology

Refined key application scenarios for smart buildings such as positioning and tracking (indoor localization and guiding), gesture recognition (interaction with the building), as well as sentiment and behavior monitoring (e.g., in crowded open areas for safety). This set will be expanded based on T7.1.

System modelling of distributed and node intelligence: initial common strategy

This deliverable will consist of a report summarizing the discussion and decisions taken during the “implementation strategy” workshop held between AAL and UNITN. These decisions will trigger the development of the complete intelligence strategy, at node-level and meta-level.

Functional requirements for the selected scenarios

Functional requirements from the market analysis for the different technologies developed in WP2-WP6.

Garbled circuits protocol for reconfigurable circuit hardware

The garbled circuit protocol will be utilized since it is well suited for circuit-level implementation on embedded systems and will be tailored for the reconfigurable nodes.

Dissemination of second year project reports and publications

Project reports and peer-reviewed publications will be disseminated via the project webpage.

Dissemination of informed consent sheets to participants of study 01

Informed consent forms and the detailed information sheets will be provided at least three months prior to the actual case studies

IPR requirements
Report on Portfolio activities 01

The report will present the collaboration activities that have been carried out in each reporting period and contain relevant materials (e.g., power point presentations, minutes of the meetings, etc.). It also explains how the Portfolio activities and the EIC proactive project management approach contribute to the achievement of the project objectives and help the transition to market. A report will be submitted at the end of each reporting period and will be assessed in the context of the project’s review.

Probabilistic node intelligence.: proof of concept on simulation level

This deliverable will first detail the chosen implementation strategy, at node level, based on probabilistic intelligence, as well as its integration in the context of the meta-level intelligence done in WP3. Then, it will explain how the hardware-software system has been modelled, and list current results for the chosen implementation.

RISC-V custom core with embedded probabilistic accelerator: design strategy

This deliverable will detail the overall circuit architecture of the chosen accelerator and RISC-V controller enabling node-level intelligence.

Technology to market transition plan and results on the exploitation

A plan to bring the technology into the market will be developed in the course of the project.

Dissemination of informed consent sheets to participants of study 03

Informed consent forms and the detailed information sheets will be provided at least three months prior to the actual case studies

Technical/scientific review meeting 2 documents

Draft agenda and presentations

Probabilistic node intellligence: proof of concept on custom hardware level

This deliverable will report the measurements done on the proposed IC prototype, first as a standalone device and then with the overall system intelligence, and the rest of the sensor platform.

Dissemination of first year project reports and publications

Project reports and peer-reviewed publications will be disseminated via the project webpage.

Report on Portfolio activities 03

The report will present the collaboration activities that have been carried out in each reporting period and contain relevant materials (e.g., power point presentations, minutes of the meetings, etc.). It also explains how the Portfolio activities and the EIC proactive project management approach contribute to the achievement of the project objectives and help the transition to market. A report will be submitted at the end of each reporting period and will be assessed in the context of the project’s review.

Report on Portfolio activities 02

The report will present the collaboration activities that have been carried out in each reporting period and contain relevant materials (e.g., power point presentations, minutes of the meetings, etc.). It also explains how the Portfolio activities and the EIC proactive project management approach contribute to the achievement of the project objectives and help the transition to market. A report will be submitted at the end of each reporting period and will be assessed in the context of the project’s review.

Dissemination of third year project reports and publications

Project reports and peer-reviewed publications will be disseminated via the project webpage.

Dissemination of informed consent sheets to participants of study 02

Informed consent forms and the detailed information sheets will be provided at least three months prior to the actual case studies

Technical/scientific review meeting 3 documents

Draft agenda and review meeting presentations

Map of light and in-situ characterization of PV cells

Laboratory characterization of commercial PV cells using a spectrally tunable lightdevice. Light measurement across the building to have a light map. In situ building characterization of PV cells and their energy output during extended periods of time.

Characterization of TEGS in the lab and across the building

Laboratory characterizations of commercial TEGs. Temperature measurement of heat and cold sources across the building. In situ characterization of TEGs and their energy output during extended periods of time.

Results from the appropriation study and market analysis

Demonstrators, pilots, prototypes (8)

Behavioural biometrics based authentication hardware system

Reconfigurable circuit hardware in the nodes will be the deliverable here. The aim is to minimize circuit complexity & power consumption.

Design, implementation, and test of the RF energy harvesters

Laboratory design, implementation and characterization of high-efficient rectennas. RF measurement across the building and when using the RF transmitters and RIS prototypes described and developed in WP4. In situ characterization of the rectennas and their energy output during extended periods of time.

Passive localization and tracking validation in multiple scenarios

Energy-harvesting circuits for the developed sensor systems.

Gesture recognition accuracy benchmark test and prototype for C1

Demonstration of RF-sensing based gesture recognition for short (up to 3m) and long (up to 20m) distances in the smart building facility (Aalto collider building).

Localization and tracking accuracy benchmark test and prototype for C0

demonstration of distributed learning via WiFi and RFID-based passive localizationand tracking within the Aalto Collider building.

Power supply of the sensor nodes

Laboratory characterization of low-power commercial and custom-made MPPTs. Use of the appropriate MPPTs with the light, thermal and RF harvesters and subsequent powering of the sensor nodes designed in the remaining WPs.

Room-level human activity and vital sign monitoring via WiFi

This deliverable focuses on room-level sensing scenarios, where state-of-the-art WiFi technologies alongwith other RF sensing modalities will be collectively exploited to detect accurate human-centric information, which will be further analysed to facilitate smart building operations.

Self-healing and autonomous error detection test and prototype for C2

Demonstration of the sentiment detection of individuals and groups in the Aalto collider building.

Websites, patent fillings, videos etc. (5)

Evaluation results of the press appearances and social media repercussion

The press and media activities will be evaluated according to the communication plan described in the project

First update plan for dissemination and exploitation of results incl. communication activities

The plan for dissemination and exploitation of results will be updated annually

Project website and Project Logo (continuously updated thereafter)

The communication infrastructure for the project will be set up.

Detailed plan for dissemination and exploitation of results including communication activities

Detailed plan for dissemination and exploitation of results incl. communication activities

Second update plan for dissemination and exploitation of results incl. communication activities

The plan for dissemination and exploitation of results will be updated annually

Other (4)

Behavioural biometrics based authentication software system design

This deliverable contains “Behavioural biometrics based authentication software system” design. This system will be tailored for the operation on constrained distributed nodes in the building automation system. The aim is low FAR.

Distributed learning framework

Distributed learning approaches, based on consensus and other forms of aggregation (e.g., majority, Fisher’s method, descriptive statistics on confidence levels) of the outputs of the node-local models

Data-driven model library for sensor networks

Design, implementation and test of multiple data-driven models to be executed overthe sensor network.

Ethical training workshop for researchers and staff

Participating staff and researchers for the experiments will be trained (in a remote or on-site training) by an invited ethics specialist to respect all participating people and their human dignity and about the protection of values rights and interests of the participants. The training will further cover the fair distribution of research benefits as well as non-discriminatory practices and fair treatment. Also, it will cover methods to ensure that no psychological, social, legal, economic or environmental harm is expected for the participants. All project personnel will be trained in the importance of confidentiality of individual records and required to sign a confidentiality agreement

Data Management Plan (3)

Final update on Data Management Plan

Final data management plan.

Update on Data Management Plan

Update of the Data Management Plan

Data Management Plan

Pubblicazioni

Conference proceedings (32)

Experimental Evaluation of Thermoelectric Generators for Indoor Autonomous Sensors

Autori: M. Ridwan; M. Gasulla; F. Reverter
Pubblicato in: EUROSENSORS XXXVI, 2024, ISBN 978-3-910600-03-4
Editore: Association for Sensors and Measurement
DOI: 10.5162/EUROSENSORSXXXVI/PT10.249

UWBOri: enabling accurate orientation estimation with ultra-wideband signals

Autori: Chang, Zhaoxin; Fusang Zhang; Jie Xiong; Xinyu Xue; Zeyu Wang; Badii Jouaber; Daqing Zhang
Pubblicato in: 2024 IEEE Smart World Congress (SWC), 2025, ISSN 2993-396X
Editore: IEEE
DOI: 10.1109/SWC62898.2024.00085

Accurate RF-sensing of complex gestures using RFID with variable phase-profiles

Autori: Golipoor, Sahar; Sigg, Stephan
Pubblicato in: International Symposium on Industrial Electronics - Espoo, Finland, 2023, ISBN 979-8-3503-9971-4
Editore: IEEE
DOI: 10.1109/ISIE51358.2023.10228178

Experimental Evaluation and Comparison of FOCV-Based PMU for Indoor Low-Power PV Cells

Autori: Azlor, Marc; Gasulla Forner, Manuel; Reverter Cubarsí, Ferran
Pubblicato in: 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2024, ISSN 2642-2077
Editore: IEEE
DOI: 10.1109/I2MTC60896.2024.10560660

Design of passive and semi-passive RFID tags

Autori: A. Fereshtian; J. Berenguer; M. G. Forner
Pubblicato in: 2025 IEEE International Conference on RFID Technology and Applications (RFID-TA), 2025, ISSN 2836-3574
Editore: IEEE
DOI: 10.1109/RFID-TA63091.2025.11265906

Micro Vibration Reconstruction Under In-Range Large-Scale Dynamic Clutters Using a Bi-Exponential Radar Signal Model

Autori: Ma, Xujun; Wang, Pei; Zhang, Daqing
Pubblicato in: 2024 IEEE/MTT-S International Microwave Symposium - IMS 2024, 2024, ISSN 2576-7216
Editore: IEEE
DOI: 10.1109/IMS40175.2024.10600273

RF energy survey to assess the feasibility of powering sensor nodes

Autori: A. Fereshtian; J. Berenguer; M. G. Forner
Pubblicato in: 2025 IEEE International Conference on RFID Technology and Applications (RFID-TA), 2025, ISSN 2836-3574
Editore: IEEE
DOI: 10.1109/RFID-TA63091.2025.11265839

Systematic experimental evaluation of submilliwatt PV cells for indoor applications

Autori: Ferré, Eduard; Azlor, Marc; Gasulla Forner, Manuel; Reverter Cubarsi, Ferran
Pubblicato in: Proceedings, 2024, ISSN 2504-3900
Editore: MDPI
DOI: 10.3390/PROCEEDINGS2024097149

FedEdge: Federated Learning with Docker and Kubernetes for Scalable and Efficient Edge Computing

Autori: Hassan, Mir; Custode, Leonardo Lucio; Yildirim, Kasim Sinan; Iacca, Giovanni
Pubblicato in: EWSN '23: Proceedings of the 2023 International Conference on Embedded Wireless Systems and Networks, 2023
Editore: ACM
DOI: 10.5555/3639940.3639994

MSense: Boosting Wireless Sensing Capability Under Motion Interference

Autori: Chang, Zhaoxin; Zhang, Fusang; Xiong, Jie; Chen, Weiyan; Zhang, Daqing
Pubblicato in: ACM MobiCom '24: Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024
Editore: ACM
DOI: 10.1145/3636534.3649350

On Hardware-efficient Inference in Probabilistic Circuits

Autori: Singh Gaurav; Leslin Jelin; Periasamy Karthekeyan; Andraud Martin; Trapp Martin; Yao Lingyun; Zhang Peng
Pubblicato in: Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, Numero PMLR 244, 2024, ISSN 2640-3498
Editore: JMLR

Towards large-scale wireless sensing in smart buildings using LoRa signals

Autori: Xinyu, Xue; Zhaoxin, Chang; Xujun, Ma; Pei, Wang; Fusang, Zhang; Badii, Jouaber; Daqing, Zhang
Pubblicato in: Artificial Intelligence of Things and Systems, 2026, ISBN 978-981-95-2581-2
Editore: Springer
DOI: 10.1007/978-981-95-2581-2_11

Social Interpretable Reinforcement Learning

Autori: Leonardo Lucio Custode; Giovanni Iacca
Pubblicato in: Applications of Evolutionary Computation, 2025, ISBN 978-3-031-90065-5
Editore: Springer
DOI: 10.48550/ARXIV.2401.15480

Environment and Person-independent Gesture Recognition with Non-static RFID Tags Leveraging Adaptive Signal Segmentation

Autori: Golipoor, Sahar; Sigg, Stephan
Pubblicato in: IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), 2024, ISSN 1946-0759
Editore: IEEE
DOI: 10.1109/ETFA61755.2024.10710733

WiRainbow: Single-Antenna Direction-Aware Wi-Fi Sensing via Dispersion Effect

Autori: Chang, Zhaoxin; Shuguang, Xiao; Fusang, Zhang; Xujun, Ma; Badii, Jouaber; Qingfeng, Zhang; Daqing, Zhang
Pubblicato in: SenSys '26: Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026, ISBN 979-8-4007-2309-4
Editore: ACM
DOI: 10.1145/3774906.3800474

FOCV-MPPT power management unit for submilliwatt indoor PV cells

Autori: Azlor, Marc; Ferré, Eduard; Gasulla Forner, Manuel; Reverter Cubarsi, Ferran
Pubblicato in: Proceedings, 2024, ISSN 2504-3900
Editore: MDPI
DOI: 10.3390/PROCEEDINGS2024097099

RF Energy Harvesting for IoT Sensors: Effects of Inductor Quality Factor on Efficiency

Autori: Fereshtian, Amir; Berenguer, Jordi; Forner Gasulla, Manuel
Pubblicato in: 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2024, ISSN 2642-2077
Editore: IEEE
DOI: 10.1109/I2MTC60896.2024.10560906

Rectenna with a High Quality-Factor Short-Circuited Transmission Line

Autori: Fereshtian, Amir; Gasulla Forner, Manuel; Berenguer Sau, Jordi
Pubblicato in: 2024 IEEE Sensors Applications Symposium (SAS), 2024, ISSN 2766-3078
Editore: IEEE
DOI: 10.1109/SAS60918.2024.10636419

NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks

Autori: Custode, Leonardo Lucio; De Falco, Ivanoe; Della Cioppa, Antonio; Iacca, Giovanni; Scafuri, Umberto
Pubblicato in: GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, 2024, ISBN 979-8-4007-0494-9
Editore: ACM
DOI: 10.1145/3638529.3654029

Fast-Inf: Ultra-Fast Embedded Intelligence on the Batteryless Edge

Autori: Custode, Leonardo Lucio; Farina, Pietro; Yildiz, Eren; Kilic, Renan Beran; Yildirim, Kasim Sinan; Iacca, Giovanni
Pubblicato in: Proceedings of SenSys 2024, 2024, ISBN 979-8-4007-0697-4
Editore: ACM
DOI: 10.1145/3666025.3699335

RFID-based Human Activity Recognition Using Multimodal Convolutional Neural Networks

Autori: Golipoor, Sahar; Sigg, Stephan
Pubblicato in: IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), 2024, ISSN 1946-0759
Editore: IEEE
DOI: 10.1109/ETFA61755.2024.10710698

Decentralized IoT-Edge Computing: An LSTM-Based Federated Learning Framework for Personalized Task Failure Prediction

Autori: Ali N.; Hassan M.; Sodhro A. H.; Aloi G.; Gravina R.; Savaglio C.; Iacca G.; Fortino G.
Pubblicato in: 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), 2025, ISSN 2577-2465
Editore: IEEE
DOI: 10.5281/ZENODO.18631476

Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications

Autori: Leslin, Jelin; Trapp, Martin; Andraud, Martin; 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS)
Pubblicato in: 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2025, ISSN 2996-5330
Editore: IEEE
DOI: 10.1109/COINS65080.2025.11125733

Awareness in Robotics: An Early Perspective from the Viewpoint of the EIC Pathfinder Challenge “Awareness Inside”

Autori: Cosimo Della Santina; Carlos Hernández Corbato; Burak Sisman; Luis A. Leiva; Ioannis Arapakis; Michalis Vakalellis; Jean Vanderdonckt; Luis Fernando D'Haro; Guido Manzi; Cristina Becchio; Aïda Elamrani; Mohsen Alirezaei; Ginevra Castellano; Dimos V. Dimarogonas; Arabinda Ghosh; Sofie Haesaert; Sadegh Soudjani; Sybert Stroeve; Paul F. M. J. Verschure; Davide Bacciu; Ophelia Deroy; Bahador Bahrami; Claudio Gallicchio; Sabine Hauert; Ricardo Sanz; Pablo Lanillos; Giovanni Iacca; Stephan Sigg; Manel Gasulla; Luc Steels; Carles Sierra
Pubblicato in: European Robotics Forum 2024, 2025, ISBN 978-3-031-76423-3
Editore: Springer
DOI: 10.48550/ARXIV.2402.09030

Read-range extension with semi-passive tags powered by PV cells

Autori: A. Fereshtian; R.A. Retana-González; J. Berenguer; F. Reverter; M. G. Forner
Pubblicato in: UbiComp Companion '25: Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025, ISBN 979-8-4007-1477-1
Editore: ACM
DOI: 10.1145/3714394.3756150

Study of TEG-Heatsink Pairs for Indoor Thermal Energy Harvesting Applications

Autori: Ridwan, Mohamad; Gasulla Forner, Manuel; Reverter Cubarsí, Ferran
Pubblicato in: 2025 IEEE Sensors Applications Symposium (SAS), 2025, ISSN 2766-3078
Editore: IEEE
DOI: 10.1109/SAS65169.2025.11105192

SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Autori: Vincze, Mátyás; Ferrarotti, Laura; Custode, Leonardo Lucio; Lepri, Bruno; Iacca, Giovanni
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 2025, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence
DOI: 10.48550/ARXIV.2412.13053

Enabling Efficient Intermittent Computing on Brand New Microcontrollers via Tracking Programmable Voltage Thresholds

Autori: Akhunov, Khakim; Yildiz, Eren; Yildirim, Kasim Sinan
Pubblicato in: ENSsys '23: Proceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems, 2023
Editore: ACM
DOI: 10.1145/3628353.3628547

Test of Low-Area PV Cells Under Real Indoor Operating Conditions for Extended Periods of Time

Autori: Villaverde, Martí; Gasulla Forner, Manuel; Reverter Cubarsí, Ferran
Pubblicato in: 2024 IEEE Sensors Applications Symposium (SAS), 2024, ISSN 2766-3078
Editore: IEEE
DOI: 10.1109/SAS60918.2024.10636605

Comparative analysis of low-power PV cells of different technologies under different types of indoor artificial lighting

Autori: Ferré, Eduard; Gasulla Forner, Manuel; Reverter Cubarsí, Ferran
Pubblicato in: 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2024, ISSN 2642-2077
Editore: IEEE
DOI: 10.1109/I2MTC60896.2024.10561134

Human Activity Recognition with Ensemble Learning

Autori: Hatice Vildan Dudukcu, Murat Taskiran, Zehra Gülru Cam Taskiran, Nihan Kahraman
Pubblicato in: 2024 26th International Conference on Digital Signal Processing and its Applications, 2024
Editore: IEEE
DOI: 10.1109/DSPA60853.2024.10510025

Study of the linearity of low-area photovoltaic cells for indoor autonomous sensors

Autori: B. Martinez; M. Ridwan; M. Gasulla; F. Reverter
Pubblicato in: EUROSENSORS XXXVI, 2024, ISBN 978-3-910600-03-4
Editore: Association for Sensors and Measurement
DOI: 10.5162/EUROSENSORSXXXVI/PT10.258

Peer reviewed articles (15)

Quality–diversity optimization of decision trees for interpretable reinforcement learning

Autori: Ferigo, Andrea; Custode, Leonardo Lucio; Iacca, Giovanni
Pubblicato in: Neural Computing and Applications, 2023, ISSN 1433-3058
Editore: Springer Nature
DOI: 10.1007/S00521-023-09124-5

Hierarchical Cascade Deep Learning for EMG-Based Behavioral Biometrics: Gesture and Subject Classification

Autori: Berke Cansiz, Hatice Vildan Dudukcu, Murat Taskiran, Nihan Kahraman
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3588791

Wi-Diag: Robust Multisubject Abnormal Gait Diagnosis With Commodity Wi-Fi

Autori: Lei Zhang, Member, IEEE, Yazhou Ma, Xiaojie Fan, Xiaochen Fan, Member, IEEE, Yonggang Zhang, Member, IEEE, Zhenxiang Chen, Member, IEEE, Xianyi Chen, Member, IEEE, and Daqing Zhang, Fellow, IEEE
Pubblicato in: IEEE INTERNET OF THINGS JOURNAL, 2023, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/JIOT.2023.3301908

Power Gain from Energy Harvesting Sources at High MPPT Sampling Rates

Autori: Gasulla, M.; Carandell, M.
Pubblicato in: Sensors, 2023, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/S23094388

A population-based approach for multi-agent interpretable reinforcement learning

Autori: Crespi, Marco; Ferigo, Andrea; Custode, Leonardo Lucio; Iacca, Giovanni
Pubblicato in: Applied Soft Computing, Numero 147, ISSN 1568-4946
Editore: Elsevier BV
DOI: 10.1016/J.ASOC.2023.110758

Angle-Agnostic Radio Frequency Sensing Integrated Into 5G-NR

Autori: Dariush Salami; Ramin Hasibi; Stefano Savazzi; Tom Michoel; Stephan Sigg
Pubblicato in: IEEE Sensors Journal, Numero 24, 2024, ISSN 1558-1748
Editore: IEEE
DOI: 10.1109/JSEN.2024.3459428

Transient Authentication from First-Person-View Video

Autori: Le Ngu Nguyen; Rainhard Dieter Findling; Maija Poikela; Si Zuo; Stephan Sigg
Pubblicato in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Numero 9, 2025, ISSN 2474-9567
Editore: ACM
DOI: 10.1145/3712266

Principle and Applications of Thermoelectric Generators: A Review

Autori: Ridwan, M.; Gasulla, M.; Reverter, F.
Pubblicato in: Sensors, 2025, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/S25082484

4D memristive chaotic system based optional parameterized random number generator

Autori: S. Günakın, B. Şahintekin, Z.G. Çam Taşkıran
Pubblicato in: Alexandria Engineering Journal, Numero 129, 2025, ISSN 1110-0168
Editore: Elsevier BV
DOI: 10.1016/J.AEJ.2025.06.019

Study of the Applicability and Limitations of the FOCV Technique for Indoor Low-Area PV Cells

Autori: Azlor, M.; Martinez, B.; Gasulla, M.; Reverter, F.
Pubblicato in: IEEE Transactions on Instrumentation and Measurement, 2025, ISSN 0018-9456
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TIM.2025.3527620

SlpRoF: Improving the Temporal Coverage and Robustness of RF-Based Vital Sign Monitoring During Sleep

Autori: Wang, Pei; Ma, Xujun; Zheng, Rong; Chen, Luan; Zhang, Xiaolin; Zeghlache, Djamal
Pubblicato in: IEEE Transactions on Mobile Computing, 2023, ISSN 1558-0660
Editore: IEEE
DOI: 10.1109/TMC.2023.3340925

WiCG: in-body cardiac motion sensing based on a mix-medium Wi-Fi fresnel zone model

Autori: Wang, Pei; Anlan Yu; Xujun Ma; Rong Zheng; Jingfu Dong; Zhaoxin Chang; Duo Zhang; Djamal Zeghlache; Daqing Zhang
Pubblicato in: IEEE Transactions on Mobile Computing, 2025, ISSN 1558-0660
Editore: IEEE
DOI: 10.1109/TMC.2025.3564843

MmECare: enabling fine-grained vital sign monitoring for emergency care with handheld MmWave radars

Autori: Chang, Zhaoxin; Fusang Zhang; Xujun Ma; Pei Wang; Weiyan Chen; Duo Zhang; Badii Jouaber; Daqing Zhang
Pubblicato in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2024, ISSN 2474-9567
Editore: ACM
DOI: 10.1145/3699766

Model-Free-Communication Federated Neuroevolution

Autori: Leonardo Lucio Custode; Giovanni Iacca; Ivanoe De Falco; Umberto Scafuri; Antonio Della Cioppa
Pubblicato in: ACM Transactions on Evolutionary Learning and Optimization, 2025, ISSN 2688-299X
Editore: ACM
DOI: 10.1145/3745032

Low-Area PV Cells Under Indoor Artificial Lighting: A Comparative Study

Autori: Ferré, E.; Martinez, B.; Villaverde, M.; Gasulla, M.; Reverter, F.
Pubblicato in: IEEE Transactions on Instrumentation and Measurement, 2025, ISSN 0018-9456
Editore: IEEE
DOI: 10.1109/TIM.2025.3547528