Ilaria De Munari

ORCID: 0000-0002-9872-1695
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About
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Research Areas
  • Copper Interconnects and Reliability
  • Context-Aware Activity Recognition Systems
  • Electronic Packaging and Soldering Technologies
  • EEG and Brain-Computer Interfaces
  • IoT-based Smart Home Systems
  • Semiconductor materials and devices
  • Neuroscience and Neural Engineering
  • Semiconductor materials and interfaces
  • Gaze Tracking and Assistive Technology
  • Energy Harvesting in Wireless Networks
  • Energy Efficient Wireless Sensor Networks
  • Indoor and Outdoor Localization Technologies
  • Metal and Thin Film Mechanics
  • Advancements in Semiconductor Devices and Circuit Design
  • Smart Grid Energy Management
  • Advanced Battery Technologies Research
  • Advanced biosensing and bioanalysis techniques
  • Biosensors and Analytical Detection
  • Integrated Circuits and Semiconductor Failure Analysis
  • Bluetooth and Wireless Communication Technologies
  • X-ray Diffraction in Crystallography
  • RFID technology advancements
  • Advanced Chemical Sensor Technologies
  • Analytical Chemistry and Sensors
  • Crystallization and Solubility Studies

University of Parma
2016-2025

University of Trento
2023

Human activity recognition (HAR) is currently recognized as a key element of more general framework designed to perform continuous monitoring human behaviors in the area ambient assisted living (AAL), well-being management, medical diagnosis, elderly care, rehabilitation, entertainment, and surveillance smart home environments. In this paper, an innovative HAR system, exploiting potential wearable devices integrated with skills deep learning techniques, presented aim recognizing most common...

10.1109/jiot.2019.2920283 article EN IEEE Internet of Things Journal 2019-05-31

Location-based services have increased in popularity recent years and can be fruitfully exploited the field of smart homes, opening doors to a wide range personalized services. In this context, radio technology widely employed since, other than connecting devices home system, it offers solutions for user localization issue without need any extra device. Techniques based on received signal strength indicator (RSSI) are often used, relying fingerprinting or proximity algorithms. paper, novel...

10.1109/tim.2018.2851675 article EN IEEE Transactions on Instrumentation and Measurement 2018-07-18

We evaluated the effectiveness in classifying food images of a deep-learning approach based on specifications Google's image recognition architecture Inception. The is deep convolutional neural network (DCNN) having depth 54 layers. In this study, we fine-tuned for from three well-known datasets: ETH Food-101, UEC FOOD 100, and 256. On these datasets achieved, respectively, 88.28%, 81.45%, 76.17% as top-1 accuracy 96.88%, 97.27%, 92.58% top-5 accuracy. To best our knowledge, results...

10.1145/2986035.2986042 article EN 2016-10-12

Brain–computer interface (BCI) systems aim to enable interaction with other people and the environment without muscular activation by exploitation of changes in brain signals due execution cognitive tasks. In this context, visual P300 potential appears suited control smart homes through BCI spellers. The work is evaluate whether widely used character-speller more sustainable than an icon-based one, designed operate home or communicate moods needs. Nine subjects neurodegenerative diseases no...

10.1080/00140139.2012.661083 article EN Ergonomics 2012-03-29

Among sensible goals of active and assisted living paradigm is the unobtrusive monitoring daily activities. Based on such monitoring, anomalies trends can be discovered, which possibly allows for early assessment health issues prevention policies. However, when dealing with home environment, especially older adults, obtrusiveness, usability, cost concerns are utmost relevance. Smart objects designed to this purpose deployed into home: they usually feature low data rates customarily...

10.1109/tim.2017.2753458 article EN IEEE Transactions on Instrumentation and Measurement 2017-10-03

The activation energy of electromigration in 'bamboo'-type, passivated Al-1% Si/TiN/Ti lines was determined by means high resolution resistance measurements at wafer level. Both the very early stages, with a nonlinear behaviour resistance, and subsequent characterized an approximately constant rate change, were analysed existing model that correlates mechanical stress evolution. An could be extracted only phase linear increase, where value 0.95 eV found. Diffusion interface between Al-Si...

10.1088/0268-1242/10/3/004 article EN Semiconductor Science and Technology 1995-03-01

The measurement of the analyte concentration in electrochemical biosensors traditionally requires costly laboratory equipment to obtain accurate results. Innovative portable solutions have recently been proposed, but usually, they lean on personal computers (PCs) or smartphones for data elaboration and exhibit poor resolution portability proprietary software. This paper presents a low-cost system, assembling an ad hoc-designed analog front end (AFE) development board equipped with system...

10.1109/tim.2019.2928533 article EN IEEE Transactions on Instrumentation and Measurement 2019-07-15

The trend toward technology ubiquity in human life is constantly increasing and the same tendency clear all technologies aimed at monitoring. In this framework, several smart home system architectures have been presented literature, realized by combining sensors, servers, online platforms. paper, a new architecture suitable for monitoring based on Wi-Fi connectivity introduced. proposed solution lowers costs implementation burden using Internet connection that leans standard modem-routers,...

10.3390/electronics7090200 article EN Electronics 2018-09-16

Nowadays, lithium-ion is among the most used chemistry for batteries and shows an increasing market growth rate. However, to reduce failure or safety risks, battery State-of-Charge (SoC) must be accurately monitored predicted by a suitable Battery Management System (BMS). Artificial Intelligence (AI) techniques have been extensively applied this field with good results. Typically, AIs are trained on dynamic profile data, emulating charging discharging cycles related application under test....

10.1109/tim.2023.3306816 article EN IEEE Transactions on Instrumentation and Measurement 2023-01-01

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Recently, <emphasis emphasistype="boldital">radio frequency identification</emphasis> (RFID) systems have gained popularity in manufacturing units, inventory, and logistics, as they represent an inexpensive reliable solution for automatic identification. Moreover, RFID transponders are expected to become a key element the ubiquitous computing scenario. Tags will likely be used collect sensors...

10.1109/tvlsi.2008.2006617 article EN IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2009-03-24

A balanced diet is the key to a healthy lifestyle and crucial for preventing or dealing with many chronic diseases such as diabetes obesity. Therefore, monitoring can be an effective way of improving people’s health. However, manual reporting food intake has been shown inaccurate often impractical. This paper presents new approach quantity estimation using image-based modeling. The modeling method consists three steps: firstly, short video taken by user’s smartphone. From video, six frames...

10.3390/a10020066 article EN cc-by Algorithms 2017-06-10

Nowadays, analytical techniques are moving towards the development of smart biosensing strategies for point-of-care accurate screening disease biomarkers, such as human epididymis protein 4 (HE4), a recently discovered serum marker early ovarian cancer diagnosis. In this context, present work represents first implementation competitive enzyme-labelled magneto-immunoassay exploiting homemade IoT Wi-Fi cloud-based portable potentiostat differential pulse voltammetry readout. The...

10.3390/s20072016 article EN cc-by Sensors 2020-04-03

Recent advances in Internet-of-Things technology have opened the doors to new scenarios for biosensor applications. Flexibility, portability, and remote control access are of utmost importance move these devices people's homes or a Point-of-Care context rapidly share results with users their physicians. In this paper, an innovative portable device both quantitative semi-quantitative electrochemical analysis is presented. This can operate autonomously without need relying on other (e.g., PC,...

10.1109/access.2021.3120022 article EN cc-by IEEE Access 2021-01-01

Monitoring the State of Charge (SoC) in battery cells is necessary to avoid damage and extend life. Support Vector Machine (SVM) algorithms Learning techniques general can provide real-time SoC estimation without need design a cell model. In this work, an SVM was trained by applying Ant Colony Optimization method. The obtained model 10-fold cross-validated then designed Hardware Description Language be run on FPGA devices, enabling low-cost compact hardware. Thanks choice linear kernel,...

10.3390/en14217064 article EN cc-by Energies 2021-10-28

An IoT-WiFi smart and portable electrochemical immunosensor for the quantification of SARS-CoV-2 spike protein was developed with integrated machine learning features. The immunoenzymatic sensor is based on immobilization monoclonal antibodies directed at S1 subunit Screen-Printed Electrodes functionalized gold nanoparticles. analytical protocol involves a single-step sample incubation. Immunosensor performance validated in viral transfer medium which commonly used desorption nasopharyngeal...

10.3390/bios12060426 article EN cc-by Biosensors 2022-06-17

Liquid biopsy is a non-invasive and efficient technique for the detection of tumor biomarkers in biological fluids, which currently represents new frontier theranostics precision medicine. Among mutations KRAS oncogene, p.G12D single nucleotide variation gene plays central role early diagnosis therapeutic treatment colorectal cancer. In this context, we developed highly sensitive magneto-genosensing assay based on PNA capture probes immobilized magnetic microbeads. To detect mutation two...

10.1016/j.biosx.2023.100404 article EN cc-by-nc-nd Biosensors and Bioelectronics X 2023-09-09

The potential of a voltametric E-tongue coupled with custom data pre-processing stage to improve the performance machine learning techniques for rapid discrimination tomato purées between cultivars different economic value has been investigated. To this aim, sensor array screen-printed carbon electrodes modified gold nanoparticles (GNP), copper (CNP) and bulk subsequently poly(3,4-ethylenedioxythiophene) (PEDOT), was developed acquire be transformed by pipeline then processed set commonly...

10.3390/s24113586 article EN cc-by Sensors 2024-06-02

Cheap passive radio frequency identification (RFID) tags operating in ultra high (UHF) bands are fostering innovation several field such as building access control, goods tracking and supply chains management. RFID transponders can also be coupled to tiny sensors, enabling non invasive monitoring of environmental personal parameters. To ensure the privacy highly sensitive data, encryption authentication capabilities should embedded devices, a fashion compatible with tight power budgets...

10.1109/icecs.2008.4674869 article EN 2008-08-01
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