Heating Method Effect on SnO Micro-Disks as NO2 Gas Sensor

Masteghin, Mateus G.; Godoi, Denis Ricardo Martins de; Orlandi, Marcelo Ornaghi

doi:10.3389/fmats.2019.00171

Cited by 15 publications

(6 citation statements)

References 48 publications

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“…In the second set of simulations, we use another switching cost matrix to illustrate a key difference between our proposed method and the GDECuSum. For gas sensors, the recovery time [50], [51] is the time taken for the sensor to reset after taking a measurement. The recovery time for some sensors can be rather long and in some cases, the recovery time may exceed one duty cycle of the sensor.…”

Section: B Comparison With Observation-dependent Policies Having Only Sampling Cost Constraintsmentioning

confidence: 99%

Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost

Lau

Tay

2021

IEEE Trans. Signal Process.

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We consider the problem of quickest change detection (QCD) in a signal where its observations are obtained using a set of actions, and switching from one action to another comes with a cost. The objective is to design a stopping rule consisting of a sampling policy to determine the sequence of actions used to observe the signal and a stopping time to quickly detect for the change, subject to a constraint on the average observationswitching cost. We propose an open-loop sampling policy of finite window size and a generalized likelihood ratio (GLR) Cumulative Sum (CuSum) stopping time for the QCD problem. We show that the GLR CuSum stopping time is asymptotically optimal with a properly designed sampling policy and formulate the design of this sampling policy as a quadratic programming problem. We prove that it is sufficient to consider policies of window size not more than one when designing policies of finite window size and propose several algorithms that solve this optimization problem with theoretical guarantees. Finally, we apply our approach to the problem of QCD of a partially observed graph signal and empirically demonstrate the performance of our proposed stopping times.

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Section: B Comparison With Observation-dependent Policies Having Only Sampling Cost Constraintsmentioning

confidence: 99%

Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost

Lau

Tay

2021

IEEE Trans. Signal Process.

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“…A polluted atmosphere endangers the health of living organisms. It comprises various gases that exist in nature and those released from industries (Masteghin et al, 2019;Pisarkiewicz et al, 2020;Duc et al, 2020;Kim et al, 2021). These odorless, tasteless, colorless gases are toxic when they exceed the safe limits (Ha et al, 2018;Miglietta et al, 2020;Pisarkiewicz et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Highly Efficient MoS2/CsxWO3 Nanocomposite Hydrogen Gas Sensors

Shrisha

Motora

et al. 2022

Front. Mater.

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Hydrogen gas sensors are important because of the significant use of hydrogen in industrial and commercial applications. In this study, we synthesized a novel CsxWO3/MoS2 nanocomposite using a solvothermal method. The samples were spin-coated on Si/SiO2 substrates, and the sensors were fabricated with interdigital electrodes. The hydrogen gas sensing properties of the sensor were investigated. CsxWO3/MoS2 exhibited an outstanding hydrogen gas sensing ability at room temperature. In particular, the nanocomposite comprising 15 wt.% MoS2 (15% CsxWO3/MoS2) showed a 51% response to hydrogen gas at room temperature. Further, it exhibited an excellent cyclic stability for hydrogen gas sensing, which is crucial for practical applications. Therefore, this study facilitates the development of effective and efficient hydrogen gas sensors operable at room temperature.

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“…Instead, considerable effort has been directed toward lowering power consumption via self-heating operations. [20][21][22][23][24][25] The self-heating effect in functional 1D nanomaterials allows for simultaneous heating and device function; these functional 1D materials are longitudinally connected and heated by their internal current flow based on the Joule-heating effect. In general, self-heated 1D nanomaterials consume much less power (10-100 µW) than devices based on microheaters (≈10 mW) because those require sufficiently low power to heat their own extremely small bodies.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the entire gas-sensing site must be uniformly heated for gas detection with high reliability and sensitivity. [23][24][25] To implement 1D nanostructures as heaters, effective and reliable nanofabrication methodologies for cost-effective patterning of 1D nanoheaters and integrating functional nanomaterials on the 1D nanoheaters are required. However, conventional nanomanufacturing technologies require complex and subtle nanoscale alignment processes to integrate functional materials into 1D nanostructure heaters.…”

Section: Introductionmentioning

confidence: 99%

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Batch Nanofabrication of Suspended Single 1D Nanoheaters for Ultralow‐Power Metal Oxide Semiconductor‐Based Gas Sensors

Kim

Cho

Kim

et al. 2022

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The demand for power‐efficient micro‐and nanodevices is increasing rapidly. In this regard, electrothermal nanowire‐based heaters are promising solutions for the ultralow‐power devices required in IoT applications. Herein, a method is demonstrated for producing a 1D nanoheater by selectively coating a suspended pyrolyzed carbon nanowire backbone with a thin Au resistive heater layer and utilizing it in a portable gas sensor system. This sophisticated nanostructure is developed without complex nanofabrication and nanoscale alignment processes, owing to the suspended architecture and built‐in shadow mask. The suspended carbon nanowires, which are batch‐fabricated using carbon‐microelectromechanical systems technology, maintain their structural and functional integrity in subsequent nanopatterning processes because of their excellent mechanical robustness. The developed nanoheater is used in gas sensors via user‐designable localization of the metal oxide semiconductor nanomaterials onto the central region of the nanoheater at the desired temperature. This allows the sensing site to be uniformly heated, enabling reliable and sensitive gas detection. The 1D nanoheater embedded gas sensor can be heated immediately to 250 °C at a remarkably low power of 1.6 mW, surpassing the performance of state‐of‐the‐art microheater‐based gas sensors. The presented technology offers facile 1D nanoheater production and promising pathways for applications in various electrothermal devices.

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Heating Method Effect on SnO Micro-Disks as NO2 Gas Sensor

Cited by 15 publications

References 48 publications

Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost

Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost

Highly Efficient MoS2/CsxWO3 Nanocomposite Hydrogen Gas Sensors

Batch Nanofabrication of Suspended Single 1D Nanoheaters for Ultralow‐Power Metal Oxide Semiconductor‐Based Gas Sensors

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