Prof. Daniele Trinchero
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
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Academic Career Length
32Years (1995-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
Abdellatif SoussiEZEnrico Zero
Enrico Zero
Roberto SacileDaniele Trinchero
Marco FossaPrecision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring the dynamic landscape of precision agriculture. The main focus is on the integration of smart sensors, coupled with technologies such as the Internet of Things (IoT), big data analytics, and Artificial Intelligence (AI). This analysis is set in the context of optimizing crop management, using resources wisely, and promoting sustainability in the agricultural sector. This review aims to provide an in-depth understanding of emerging trends and key developments in the field of precision agriculture. By highlighting the benefits of integrating smart sensors and innovative technologies, it aspires to enlighten farming practitioners, researchers, and policymakers on best practices, current challenges, and prospects. It aims to foster a transition towards more sustainable, efficient, and intelligent farming practices while encouraging the continued adoption and adaptation of new technologies.
10 September 2011 in Radio Science
Journal Article
FVF. Viani
F. Viani
Paolo Rocca
Giacomo OliveriDaniele TrincheroAMAndrea Massa
Andrea Massa1 December 1995 in IEEE Photonics Technology Letters
Journal Article
A method for the synthesis of optical filters consisting of a cascade of N-coupled rings is presented. The procedure is based on the definition of a polynomial whose roots are the zeros of the channel-dropping transmittance characteristic and provides directly the ring electrical lengths and the mutual coupling coefficients. A design example of a Chebyshev-type 6-ring bandpass filter is presented.
7 April 2022 in IEEE Open Journal of the Communications Society
Journal Article
MSMuhammad Shehab
Muhammad ShehabBCBekir S. Ciftler
Bekir S. Ciftler
TKTamer Khattab
Tamer Khattab
MAMohamed M. Abdallah
Mohamed M. Abdallah
Daniele TrincheroIn this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite complicated, and non-convex since it requires the tuning of the phase shift reflection matrix. Driven by the rising deployment of deep reinforcement learning (DRL) techniques that are capable of coping with solving non-convex optimization problems, we employ DRL to predict and optimally tune the IRS phase shift matrices. Simulation results reveal that the IRS-assisted NOMA system based on our utilized DRL scheme achieves a high sum-rate compared to OMA-based one, and as the transmit power increases, the capability of serving more users increases. Furthermore, results show that imperfect successive interference cancellation (SIC) has a deleterious impact on the data rate of users performing SIC. As the imperfection increases by ten times, the rate decreases by more than 10%.
17 November 2009 in IEEE Transactions on Microwave Theory and Techniques
Journal Article
Daniele TrincheroRSRiccardo Stefanelli
Riccardo Stefanelli
The paper presents an innovative solution for the realization of mobile wireless sensors able to flow without any restraint in conduits used for liquid transportation. The communication scheme shows effectiveness also in underground pipelines. The wireless device is interfaced with a pressure sensor and has been waterproofed so that its insertion within pipes filled of liquid has been made possible. The microwave components are designed to optimize the transmission towards the ground surface, while the form of the radome has been chosen to avoid unwanted rotations of the transmitting antenna, preventing link degradations. The introduced technological solution has been experimentally validated in a controlled scenario, where an ¿ad-hoc¿ wireless sensor network has been specifically designed and realized. Communication analyses on water pipes having different dimensions, collocated at varying depths in the ground, down to 2.5 m, have been performed. Results show the exploitability and reliability of the proposed platform.
1 March 2000 in IEEE Transactions on Microwave Theory and Techniques
Journal Article
A synthesis procedure, based on a distributed parameter model, for the design of microwave Biters is presented in this paper. The frequency response of the Biter is described in terms of the characteristic polynomial T(21) = S(11)/S(21) where S(11) and S(21) are the scattering parameters of the filter. Starting from the desired polynomial T(21), the design scheme directly yields the scattering parameters of the various junctions, which can be realized by any kind of discontinuity, The capability of synthesizing an arbitrary frequency response allows one to introduce the concept of a "pre-distorted" characteristic polynomial in order to compensate for the degradations caused by multimodal interactions, frequency dispersion, etc. Comparison with measured data of a Chebyshev-like eight-pole E-plane Biter confirms the validity of the method also in presence of losses
About Me
Daniele Trinchero received his master’s and Ph.D. degrees in electronic engineering from the Politecnico di Torino, Italy, in 1993 and 1997, respectively. He has been with the Politecnico di Torino since 1997, where he is currently the responsible for the iXem Labs laboratory. Between 2009 and 2015, he was a visiting professor at the Qatar University in Doha, Qatar. Since 2013 he has been a visiting professor at Esigelec, Rouen (FR). His research interests are in the field of Internet of Things, wireless networks, machine-to-machine networks, LP-WANs, sensors and sensor networks, RFIDs, antennas, electromagnetic field measurements, microwave circuits, information technology, technologies for agriculture and smart farming, technologies and platforms for sport and athletic training. He currently teaches courses about wireless technologies for the Internet of Things, wireless networks and electromagnetic fields, IoT technologies for sport. In 2014, he founded Senza Fili Senza Confini, the first non-profit association registered as an Internet operator in Italy. He is senior member of the IEEE and honorary citizen of the Municipalities of Cavagnolo and Grana Monferrato.