In the past decade, researchers working on fractional-order systems modeling and control have been considering working on the design and development of analog and digital fractional-order differentiators, i.e. circuits that can perform non-integer-order differentiation. It has been one of the major research areas under such field due to proven advantages over its integer-order counterparts. In particular, traditional integer-order proportional-integral-derivative (PID) controllers seem to be outperformed by fractional-order PID (FOPID or PI λ D μ ) controllers. Many researches have emerged presenting the possibility of designing analog and digital fractional-order differentiators, but only restricted to a fixed order. In this paper, we present the conceptual design of a variable fractional-order differentiator in which the order can be selected from 0 to 1 with an increment of 0.05. The analog conceptual design utilizes operational amplifiers and resistor-capacitor ladders as main components, while a generic microcontroller is introduced for switching purposes. Simulation results through Matlab and LTSpiceIV show that the designed resistor-capacitor ladders can perform as analog fractional-order differentiation.

Abstract-The success of iris recognition depends mainly on two factors: image acquisition and an iris recognition algorithm. In this study, we present a system that considers both factors and focuses on the latter. The proposed algorithm aims to find out the most efficient wavelet family and its coefficients for encoding the iris template of the experiment samples. The algorithm implemented in software performs segmentation, normalization, feature encoding, data storage, and matching. By using the Haar and Biorthogonal wavelet families at various levels feature encoding is performed by decomposing the normalized iris image. The vertical coefficient is encoded into the iris template and is stored in the database. The performance of the system is evaluated by using the number of degrees of freedom, False Reject Rate (FRR), False Accept Rate (FAR), and Equal Error Rate (EER) and the metrics show that the proposed algorithm can be employed for an iris recognition system.

Wireless system was designed to measure body temperature remotely and detect early stage of pregnancy in multiple cows which consists of Personal computer (PC), Xbee modules and MATLAB program. The Xbee transmitters with the LM35 temperature sensors were attached under the tail head of the cows. The study investigated whether body temperature increases in cows after 5 th to 12 th day after insemination as suggested by previous study that an increase in milk or body temperature could be an indicator of an immune response of the mother to the entry of embryo into the uterus. A significant increase in body temperature was noted after insemination in the pregnant cow and otherwise in the non-pregnant cow. The results obtained in the study could suggest that low cost, commercially available electronic components and materials could be used as non-invasive pregnancy detection in cows with range of up to 40 m without human intervention.

No abstract

No abstract