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AbstractAs leading sensors of ambient conditions, temperature sensors act as important sensing devices. They are essential in a large variety of products. A variety of temperature sensors is available on the market to meet specific application needs. The most common include thermocouples, resistive temperature detectors (RTD), thermistors, and silicon-based sensors. But of all of these temperature sensors, the thermistor is the only one that holds the esteemed position owing to its high sensitivity, accuracy and low cost. Temperature measurement systems utilizing thermistors are less expensive to produce because few additional components are required, especially in the present era of embedded systems. With the recent advances in manufacturing techniques, the drawbacks of conventional thermistors, like aging, interchangeability, unreliability etc., are almost eliminated. Booming demand for DVD players and portable communication appliances have pushed up the popularity of NTC thermistors. This article reviews the latest trends in thermistor manufacturing and the associated applications.
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In this article, we have highlighted the partial least square regression (PLSR) model to predict the glucose level in human blood by considering only five variants. The PLSR model is experimentally validated for the 13 templates samples. The root mean square error analysis of design model and experimental sample is found to be satisfactory with the values of 3.459 and 5.543, respectively. In PLSR templates design is a critical issue for the number of variants participating in the model. Ensemble consisting of five major variants is simulated to replicate the signatures of these constituents in the human blood, i.e., alanine, urea, lactate, glucose, and ascorbate. Multivariate system using PLSR plays important role in understanding chemometrics of such ensemble. The resultant spectra of all these constituents are generated to create templates for the PLSR model. This model has potential scope in designing a near-infrared spectroscopy based noninvasive glucometer.
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