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Flexible electronic is a promising technology for flexible and large-area sensing IoT applications, where ADC is a fundamental component This paper proposes a configurable and flexible VCO-based ADC, implemented with Oxide Thin-Film Transistors(TFT) technology. A VCO with four connecting modes is designed to configure the VCO-based ADC working under different power and resolutions. An Inkjet printing...
Thin-film transistor (TFT) circuits are important for flexible electronics which are promising in the area of wearable devices. However, most TFT technologies only have unipolar devices and the process variation and defective rate are relatively high, which impose challenges to TFT circuit design. In this paper, we propose a novel logic array based on pseudo-CMOS logic to address the problem of unipolar...
Energy harvesting has been widely investigated as a promising alternative for future wearable sensors or internet-of-things. However, power and performance overhead is induced when IO operations are interrupted by power failures because non-preemptive characteristic of IO operations causes expensive re-executions. Furthermore, the state-of-art IO devices need long and power hungry initializing process,...
In this paper we propose a hybrid algorithm allocated with genetic algorithm with branch and bound method for calculating a portfolio selection problem under concave transaction costs constraints. We study the multi-period investment and employ the absolute deviation of the rate of return of the portfolio as the measure of risk. In every period we solve linear programming subproblems by introducing...
This paper discusses portfolio selection problem in fuzzy environment. In the paper, CVaR is originally presented for fuzzy variable. Based on the concept of CVaR of fuzzy variable, two fuzzy mean-CVaR models are proposed. To solve the new models in general cases, a fuzzy simulation based genetic algorithm is presented in the paper. In addition, by two numerical examples we compare mean-CVaR models...
In this paper, the two-dimension principal component analysis (2DPCA) arithmetic is introduced and applied to the facial expression recognition system, which is based on seven basic facial expressions. We compared and analyzed two single-direction 2DPCA, two-direction 2DPCA (2D-2DPCA) and the PCA arithmetic under theoretical analysis. The experimental results on two facial expression databases show...
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