首页|Studies from National Institute of Technology Provide New Data on Artificial Int elligence [Planar Microwave Sensor Suitable for Artificial-in telligence (Ai) Based Detection of Volatile]
Studies from National Institute of Technology Provide New Data on Artificial Int elligence [Planar Microwave Sensor Suitable for Artificial-in telligence (Ai) Based Detection of Volatile]
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Artificial Intelligence is now ava ilable. According to news reporting originating in Andhra Pradesh, India, by New sRx journalists, research stated, "Development of a rapid sensors for detecting volatile organic compounds (VOCs) is a need of the hour to effectively mitigate the adverse effect of VOCs on environmental pollution. In this line, the current paper presents the design and development of a non-invasive split-ring resonato r (SRR)-based microwave sensor for detecting liquid VOCs, specifically isopropyl alcohol (IPA), acetone, ethanol, and methanol." The news reporters obtained a quote from the research from the National Institut e of Technology, "Artificial intelligence (AI) based algorithms are gaining popu larity in developing a highly-selective sensor circuit. In the proposed sensor, the SRR circuit is optimized for better detection sensitivity and the multi reso nant behavior of the circuit offers adequate selectivity. The designed sensor of fers better re-usability and thereby supporting AI-based algorithms for continuo us monitoring of VOCs in real-time. Transmission coefficient (S21) S 21 ) of the sensor is measured over the frequency range of 0.8-6 GHz for different VOCs wit h varying concentrations. Analysis of variance (ANOVA) and post hoc Tukey tests are employed to discern significant variations in the measured data. Principle c omponent analysis (PCA) and discriminant analysis are performed over the measure d data to classify the VOCs."
Andhra PradeshIndiaAsiaAlgorithmsArtificial IntelligenceEmerging TechnologiesMachine LearningNational Inst itute of Technology
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