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        Performance Evaluation and Analysis of Hybrid Bilayer Dielectrics Based OTFTs for Temperature Sensing Application

        Sushil Kumar Jain,Amit Mahesh Joshi 한국전기전자재료학회 2024 Transactions on Electrical and Electronic Material Vol.25 No.1

        In this work, a comprehensive performance evaluation of a temperature sensor utilizing an organic thin-fi lm transistor (OTFT) with hybrid bilayer dielectric layer polyvinyl alcohol (PVA)/high K inorganic dielectrics is presented. The temperature sensor elucidates the temperature-dependent characteristics of organic thin-film transistors (OTFTs) employing various bilayer dielectrics. It specifically describes the alterations in the drain current of these transistors with temperature. This inherent property of OTFTs makes them highly suitable for accurate and reliable temperature-sensing applications. Electrical parameters of the OTFT devices are determined at diff erent temperatures (300 K and 350 K) which include subthreshold swing ( SS ), off current ( Ioff ), current on-off ratio ( Ion / Ioff ), and on-current ( Ion ). OTFT characteristics vary at two different temperatures, highlighting their potential use as temperature sensors. The temperature sensor shows its highest sensitivity, reaching 149.10% for PVA/(S rZrO3 ) bilayer dielectric at V DS = -10V .

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        A novel step detection technique for pedestrian dead reckoning based navigation

        Sushil Tiwari,Vinod Kumar Jain 한국통신학회 2023 ICT Express Vol.9 No.1

        Precise step detection is an essential task for pedestrian dead reckoning based navigation. This study presents a novel step detection method using a Dynamic Weight Integrated Fuzzy C-Means (DWIFCM) algorithm. It utilizes the statistical criteria extracted from the readings of accelerometer sensors and improves the accuracy of step detection. The performance of the proposed step detection technique is evaluated by considering the variations in walking patterns of the pedestrian in different landscapes of the path. The experimental results yield that the proposed method outperforms among the existing benchmark techniques.

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