doc. dr. sc. Dinko Oletić

Assistant professor, Department of Electronic Systems and Information Processing

Location:
Public phone number:
6129-932
Internal phone number:
432

Field-experiences of tracking plant’s xylem embolism formation with embedded acoustic emission sensors

Oletić, Dinko ; Rosner, Sabine ; Bilas, Vedran
2022.

Features and Always-On Wake-Up Detectors for Sparse Acoustic Event Detection

Gazivoda, Marko ; Oletić Dinko ; Bilas Vedran
2022.
Electronics (Basel)

Sensor System for Localization of Acoustic Emission Sources in Plant's Water Transport Tissues by Time-of-arrival Analysis of Ultrasonic Waves

Jelić, Anamarija
2022.

Implementation of a Machine Learning Method for Differentiation of Acoustic Emission Sources in Plant's Tissues on Low-power Embedded System

Gracin, Renato
2022.

Verifying sensitivity of a sensor system for logging xylem’s acoustic emissions related to drought stress

Oletić, Dinko ; Rosner, Sabine ; Bilas, Vedran
2021.

Multichannel amplifier for testing of piezoelectric MEMS resonators

Kranjčec, Matija
2021.

Designing field-deployable plant water-stress sensors based on ultrasonic xylem emissions monitoring

Oletić, Dinko
2021.

Designing Micro-Mechanical Cantilever Resonator Arrays for Wideband Detection of Ultrasonic Xylem Cavitation Emissions Related to Plant Water-Stress

Oletic, Dinko ; Herth, Etienne ; Bouville, David ; Martincic, Emile ; Bilas, Vedran
2020.

Recognizing Time-Frequency Clustering in Ultrasound Emission Spectra

Crnčić, Darjan
2020.

Passive Extraction of Signal Feature Using a Rectifier with a Mechanically Switched Inductor for Low Power Acoustic Event Detection

Gazivoda, Marko ; Oletić, Dinko ; Trigona, Carlo ; Bilas, Vedran
2020.
Sensors

Time-frequency features of grapevine’s xylem acoustic emissions for detection of drought stress

Oletić, Dinko ; Rosner, Sabine ; Zovko, Monika ; Bilas, Vedran
2020.
Computers and electronics in agriculture

How thirsty the crops are: Emerging instrumentation for plant-based field measurement of water stress

Oletić Dinko ; Bilas, Vedran
2020.
IEEE instrumentation & measurement magazine

Embedded Front-End for Xylem Sap Velocity Measurement with Single Pulse-Heated NTC Probe

Oletić, Dinko ; Šnajder, Boris ; Bilas, Vedran
2020.

Characterization and comparison of envelope detectors for wake-up sensor interfaces at audio frequencies

Gazivoda, Marko ; Oletic, Dinko ; Bilas, Vedran
2020.

Advances in sensor technologies for in-field monitoring of plant's water-stress

Oletić, Dinko
2020.

Measurement of Weak Signal Energy at Acoustic Frequencies by using RMSHI as a Passive Conditioning Circuit

Gazivoda, Marko ; Oletić, Dinko, Trigona, Carlo ; Bilas, Vedran
2019.

Hidden Markov Model-Based Asthmatic Wheeze Recognition Algorithm Leveraging the Parallel Ultra-Low-Power Processor (PULP)

Oletic, Dinko ; Matijascic, Marko ; Magno, Michele ; Bilas, Vedran
2019.

Programmable sensor interface for acoustic signal processing

Ivančević, Lovro
2019.

Charge amplifier for piezoelectric hydrophone

Sinožić, Marin
2019.

Low-power ultrasound wake-up interface for detecting underwater communication

Korman, Luka
2019.

Piezoelectric sensor front-end for energy- efficient acquisition of ultrasonic emissions related to water-stress in plants

Oletić, Dinko ; Bilas, Vedran
2019.

Embedded system for ultrasound emissions acquisition and processing

Šiljeg, Lovre
2018.

A Programmable 3-Channel Acoustic Wake-up Interface Enabling Always-on Detection of Underwater Events within 20 μA

Oletić, Dinko ; Gazivoda, Marko ; Bilas, Vedran
2018.

Embedded system for acquisition of xylem pressure

Zorić, Katarina
2018.

Comparison of energy efficiency of respiratory sound analysis on embedded single-core and multi-core low-power processors

Matijaščić, Marko
2018.

Single thermistor sap flow measurement in woody plants

Rogulj, Duje
2018.

Time-frequency pattern wake-up detector for low-power always-on sensing of acoustic events

Oletić, Dinko ; Korman, Luka ; Magno, Michele ; Bilas, Vedran
2018.

Classification of acoustic events with a neural network implemented in FPGA

Orešković, Ante
2018.

System-Level Power Consumption Analysis of the Wearable Asthmatic Wheeze Quantification

Oletić, Dinko ; Bilas, Vedran
2018.
Journal of Sensors

Finite-state machine implemented in programmable mixed-signal matrix

Korman, Luka
2017.

Finite-state machine implemented in low-power microcontroller

Tomas, Filip
2017.

Asthmatic Wheeze Detection from Compressively Sensed Respiratory Sound Spectra

Oletić, Dinko ; Bilas, Vedran
2017.
IEEE Journal of Biomedical and Health Informatics

Instantaneous frequency estimation using the Hilbert transform

Cimermančić, Filip
2017.

Low- power wearable system for asthmatic wheeze detection

Oletić, Dinko
2016.

Digitally tunable analog RC filter

Zorić, Katarina
2016.

Energy-Efficient Respiratory Sounds Sensing for Personal Mobile Asthma Monitoring

Oletić, Dinko ; Bilas, Vedran
2016.
Ieee sensors journal

Microcontroller wake-up circuit with signal peak- value-duration detector

Šiljeg, Lovre
2016.

Microcontroller wake-up circuit with signal average- value detector

Rogulj, Duje
2016.

Low-power multichannel spectro-temporal feature extraction circuit for audio pattern wake-up

Oletic, Dinko ; Bilas, Vedran ; Magno, Michele ; Felber, Norbert ; Benini Luca
2016.

Comparison of Power-Efficiency of Asthmatic Wheezing Wearable Sensor Architectures

Oletić, Dinko ; Bilas, Vedran
2016.

Design of Sensor Node for Air Quality Crowdsensing

Oletic, Dinko ; Bilas, Vedran
2015.

Evaluation of MOX Gas Sensor Transient Response for Low-Power Operation

Jeličić, Vana ; Oletić, Dinko ; Sever, Tomislav ; Bilas, Vedran
2015.

Mobile Air Quality Monitoring with Low-cost Sensors - Piloting Experience in Zagreb

Oletić, Dinko ; Bilas, Vedran
2015.

Environmental Data Collection Using a Distributed Network of Wireless Sensors - 'Airscapes Singapore'

Nyhan, Marguerite ; Oletic, Dinko ; Britter, Rex ; Pribadi, Riki ; Sivaprakasam, Ramprasad ; Maitan, Martina ; Khairul, Muhammad ; Norford, Leslie ; Barret, Steven ; Ratti, Carlo
2015.

Low-Power Wearable Respiratory Sound Sensing

Oletić, Dinko ; Arsenali, Bruno ; Bilas, Vedran
2014.
Sensors

Urban Crowd Sensing Demonstrator: Sense the Zagreb Air

Antonić, Aleksandar ; Bilas, Vedran ; Marjanović, Martina ; Matijašević, Maja ; Oletić, Dinko ; Pavelić, Marko ; Podnar Žarko, Ivana ; Pripužić, Krešimir ; Skorin-Kapov, Lea
2014.

Application of MSP430 and DSP C5000 in Mobile Patient and Environmental Monitoring

Oletic, Dinko ; Bilas , Vedran
2014.

Energy-efficient atmospheric CO concentration sensing with on-demand operating MOX gas sensor

Oletić, Dinko ; Jeličić, Vana ; Antolović, Dario ; Bilas, Vedran
2014.

Hidden Markov Model in Spectro-Temporal Tracking of Asthmatic Wheezing in Respiratory Sounds

Oletić, Dinko ; Škrapec, Mateja ; Bilas, Vedran
2014.

Prototype of respiratory sounds monitoring system based on compressive sampling

Oletić, Dinko ; Škrapec, Mateja ; Bilas, Vedran
2014.

Empowering smartphone users with sensor node for air quality measurement

Oletić, Dinko ; Bilas, Vedran
2013.

Monitoring respiratory sounds: Compressed sensing reconstruction via OMP on Android smartphone

Oletić, Dinko ; Škrapec, Mateja ; Bilas, Vedran
2012.

Towards continuous wheeze detection body sensor node as a core of asthma monitoring system

Oletić, Dinko ; Arsenali, Bruno ; Bilas, Vedran
2012.

Continuous wireless monitoring of respiratory status in asthma management

Bilas, Vedran ; Oletić, Dinko
2012.

Wireless sensor node for respiratory sounds monitoring

Oletić, Dinko ; Bilas, Vedran
2012.

Wireless sensor network for berth supervision in marinas

Krpetić, Roko ; Oletić, Dinko ; Bilas, Vedran
2012.

MasliNET : a Wireless Sensor Network based Environmental Monitoring System

Jeličić, Vana ; Ražov, Tomislav ; Oletić, Dinko ; Kuri, Marijan ; Bilas, Vedran
2011.

Wireless sensor networks in monitoring of asthma

Oletić, Dinko
2011.

Extending Lifetime of Battery Operated Wireless Sensor Node With DC-DC Switching Converter

Oletić, Dinko ; Ražov, Tomislav ; Bilas, Vedran
2011.

Teaching

University undergraduate

University graduate

Competences

  • Consumer electronics
    Low-power electronics
  • Engineering in medicine and biology
    Biomedical engineering Biomedical electronics Biomedical signal processing
  • Sensors
    Intelligent sensors
  • Computers and information processing
    Data conversion
  • Instrumentation and measurement
    Environmental monitoring

Personal data

Personal web page:
Graduation year:
2010.
PhD graduation year:
2016.
Employed in this institution since:
2010.