A compact current-mode instrumentation amplifier for general-purpose sensor interfaces

The proposed amplifier architecture follows a consolidated topology based on second-generation current conveyors (CCIIs), optimized for fully-differential operation. The architecture uses gain-boosting to improve the offset and noise characteristics of a recently proposed design. Wide input and output ranges and high accuracy are obtained by designing the CCIIs according to an original two-stage architecture with local voltage feedback. Embedding of chopper switch matrices into the amplifier enables vector analysis of the input signal, expanding the application field. The main strengths of the proposed amplifier are compactness and versatility. Measurements performed on a prototype designed with a 0.18 μm CMOS process are described

A compact programmable differential voltage reference with unbuffered 4 mA output current capability and ±0.4 % untrimmed spread

A compact differential voltage reference cell, which combines an original switched capacitor integrator with a digitally programmable bandgap core, is presented. The two-stage integrator maintains an always-valid output voltage while performing correlated double sampling to effectively reduce the effects of offset and flicker noise. Measurements performed on a prototype designed with the UMC 0.18 um CMOS process showed a ±0.4 % untrimmed output voltage spread, 1 Hz flicker noise corner and output current capability of up to 4 mA with a quiescent current consumption of 50 uA

A compact low-offset instrumentation amplifier with wide input and output ranges

In this work, a new architecture for the design of very compact instrumentation amplifiers is proposed. The amplifier has been specifically developed for use as a versatile block for sensor interfacing. The most innovative feature of the proposed cell is the wide input common mode range, which has a margin to both power rails as small as 200 mV. The circuit, which has been implemented with the 3.3 V CMOS devices of the UMC 0.18 μm process, operates with supply voltage in the 1.4â\u80\u933.6 V range. An input offset voltage standard deviation of 8 μV has been obtained using chopper modulation combined with gain enhancement of the output current mirrors. The amplifier performances are estimated by means of accurate electrical simulations

A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition

Indoor air monitoring represents one of the most challenging global aims for the protection of people health and safety. Lots of efforts, either in the academic or industrial field, are addressed to the development and integration of sensing technologies and Artificial Intelligence techniques for the realization of a smart system capable to detect and recognize gases. In this work, we propose a first prototype of an integrated system involving both sensing and Artificial Intelligence technologies, developed as a two layer architecture. The Hardware Layer is the SENSIPLUS(R) microchip, a smart sensor IoT ready node endowed with on board sensors and implementing novel measuring technique based on current/voltage correlations. The Software Layer is the SENSIPLUS® Deep Machine, a Deep Learning module based on a Long Short-Term Memory neural network, particularly suitable for times series analysis. The paper presents preliminary experiments for the recognition of three distinct gases with respect to air that demonstrates the proposed system effectiveness