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For the verification and functional safety of real systems, e.g. of analog and digital circuits, the function associated with the real structure must be modelled with structural integrity ensured. This means that the consistency of the formally derived and modelled function with the function generated by the real structure must be ensured. In addition, the modelled function must exhibit a behavior...
This paper builds upon recent developments that argue for a fault simulation based on defect-likelihood sampling. It first questions, with a number of synthetic experiments, the premises of this approach and offers an alternative simple mechanism for the random selection of defects. Then, it introduces a new layer of variability with the parametrization of the opens and shorts resistivity while keeping...
3D-printed dynamic structures have arisen as a lower cost and easier to fabricate alternative to miniaturized sensor and actuator technologies. Here, we investigate the reliability of a selected 3D-printed laser scanner, which was initially designed for miniaturized confocal imaging, having 1 x 1 cm2 footprint. The scan-line, 1st resonant frequency and quality factor of 3 devices were monitored for...
Alternative signature based testing of analog/RF circuits and systems has been established over the last two decades. Signature based testing is predicated on signature from device under test (DUT) to statistically predict specifications of an IC. Statistical correlation between specifications and signature are built from a set of initial ICs. Aliasing in signature space will produce aliasing in specification...
Efficient test and diagnosis methods are required to ensure high levels of dependability of the electronic systems deployed to the market. These methods involve a trade-off in terms of accessibility to test nodes, test stimuli complexity, area overhead, and data processing that, altogether determine the impact that the involved operations have in the final cost, performance, and reliability presented...
Energy reduction has become an important issue in the design of battery-powered devices for Internet of Things (IoT) applications. In this regard, lowering the supply voltage close to transistor threshold voltage, commonly known as Near Threshold Computing (NTC), has been a widely used approach to reduce the energy consumption of various designs. However, the energy-saving potential of NTC is hindered...
Harmonic cancelation strategies have been proposed as a promising solution for the implementation of accurate onchip sinusoidal signal generators while minimizing the required on-chip resources. Harmonic cancelation-based generators can be implemented using digital resources to provide a set of phaseshifted digital square-wave signals and a summing network built with passive or active components for...
Although most of the integrated circuits in everyday applications surrounding us are digital, analog electronic circuits are still necessary, since the real world is analog and our human sensors and transmitters are also analog (ears, eyes, speech). Testing of these analog, mixedsignal and RF parts poses challenges quite different from those imposed by digital modules, while increasing considerably...
On-chip sine-wave signal generation is widely covered by literature for Built-In-Self Test (BIST) or biosensor applications. The objective is to generate pure and robust sinewave signal with minimal hardware resources. An attractive solution consists in combining several digital signals to built this analog sine-wave. The objective of this paper is to give an analytical study of various potential...
This paper presents an overview of approximate computing, from the perspective of a test/reliability engineer. The focus of this paper is not on the actual conception of approximate hardware/software/algorithms, but on how specific methods for test and reliability can be used to improve the characteristics (power consumption, area, life expectancy, precision) of approximate computing.
When performing a separation of test results, coping with enormous high-dimensional data sets is necessary but problematic. The input of high-dimensional data, in which not a few elements are irrelevant or less relevant than others, usually lead to inadequate results. It is therefore useful to consult methods, which classify the individual dimensions of the data volumes according to their relevance...
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