Analog fault diagnosis : a fault clustering approach

A novel analog circuit fault diagnosis method is proposed. This method uses a neural network paradigm to cluster different faults. It is capable of dealing with the common fault models in analog circuits, namely the catastrophic and parametric faults. The proposed technique is independent of the linearity or nonlinearity of the circuit. The process parameter drifts and component tolerance effects of the circuit are well taken care of. Several fault diagnosis strategies for different problem complexities are described. The proposed methodology is illustrated by means of an operational transconductance amplifier (OTA) exampl

Filter tuning system using fuzzy logic

The authors describe an expert system approach for tuning filters using fuzzy logic. The proposed system adjusts the filter components in order to meet the given window specifications. The system is described and experimental results are presented for a lowpass filter implemented with OTA

An analog integrated circuit design laboratory

We present the structure of an analog integrated circuit design laboratory to instruct at both, senior undergraduate and entry graduate levels. The teaching material includes: a laboratory manual with analog circuit design theory, pre-laboratory exercises and circuit design specifications; a reference web page with step by step instructions and examples; the use of mathematical tools for automation and analysis; and state of the art CAD design tools in use by industry. Upon completion of the course, the students have skills for an entry level analog designer position

Towards Provably-Secure Analog and Mixed-Signal Locking Against Overproduction

Similar to digital circuits, analog and mixed-signal (AMS) circuits are also susceptible to supply-chain attacks such as piracy, overproduction, and Trojan insertion. However, unlike digital circuits, supply-chain security of AMS circuits is less explored. In this work, we propose to perform “logic locking” on digital section of the AMS circuits. The idea is to make the analog design intentionally suffer from the effects of process variations, which impede the operation of the circuit. Only on applying the correct key, the effect of process variations are mitigated, and the analog circuit performs as desired. We provide the theoretical guarantees of the security of the circuit, and along with simulation results for the band-pass filter, low-noise amplifier, and low-dropout regulator, we also show experimental results of our technique on a band-pass filter

A DNA Microarray-Based Assay to Detect Dual Infection with Two Dengue Virus Serotypes

Here; we have described and tested a microarray based-method for the screening of dengue virus (DENV) serotypes. This DNA microarray assay is specific and sensitive and can detect dual infections with two dengue virus serotypes and single-serotype infections. Other methodologies may underestimate samples containing more than one serotype. This technology can be used to discriminate between the four DENV serotypes. Single-stranded DNA targets were covalently attached to glass slides and hybridised with specific labelled probes. DENV isolates and dengue samples were used to evaluate microarray performance. Our results demonstrate that the probes hybridized specifically to DENV serotypes; with no detection of unspecific signals. This finding provides evidence that specific probes can effectively identify single and double infections in DENV samples

Fixed-Term Homotopy

A new tool for the solution of nonlinear differential equations is presented. The Fixed-Term Homotopy (FTH) delivers a high precision representation of the nonlinear differential equation using only a few linear algebraic terms. In addition to this tool, a procedure based on Laplace-Padé to deal with the truncate power series resulting from the FTH method is also proposed. In order to assess the benefits of this proposal, two nonlinear problems are solved and compared against other semianalytic methods. The obtained results show that FTH is a power tool capable of generating highly accurate solutions compared with other methods of literature

Neural network processor including systolic array of two-dimensional layers

The invention provides a pattern recognition processing apparatus and a technique for realizing a neural network of a complex structure within the processing apparatus. The apparatus includes a neural network having two-dimensional layers connected to form a feed-forward systolic array. Each two dimensional layer includes a feature extraction layer connected with a positional error absorbing layer. A host system provides inputs to the network. Each layer within the network includes processing elements such as a MOS analog circuit that receives input voltage signals and provides output voltage signals.U