The fast evolution of battery functioned devices has caused approaches for decreasing power consumption in the memories is substantial. In this paper, a new proposal of SRAM with 8 transistors (8T) has been designed and also the cell itself is tested for its unique data overwriting and read propagation delays around 13.33% (read ‘1’) and 3.58% (read ‘0’) less compared to a conventional model. As the technology is attenuating, cell stability and increasing noise margin have become two crucial topics for the design metrics of SRAM, where our proposed cell appears with great stability on low voltage operation. Widespread simulation results authenticate the cogency and competency of the proposed 8T SRAM model using Cadence and 45nm predictive technology model (PTM).
This article presents a modelling and sliding mode control (SMC) of a doubly fed induction generator (DFIG) integrated into wind energy system for independent control of stator reactive and stator active powers. For a comparative study, the independent control of reactive and active powers is ensured in the first step by neuro-sliding mode controllers (NSMC) and the second step by neuro-second order sliding mode controllers (NSOSMC). Finally, the performance of the system is tested and compared by simulation in terms of robustness tests, and reference tracking tests based on Matlab/Simulink software.
The objective of E-shaped patch antenna with hexagonal slot is to operate in the ISM band for different kind of applications, such as WLAN, GPS, and various modern wireless systems. The posit antenna is designed using FR4 substrate having a dielectric constant of 4.4 with a thickness of 1.6 mm. Probe feed technique is used for this antenna design. A parametric study was included to determine the effect of design approaches and the antenna performance. The realization of the designed antenna was analyzed in term of boost (gain), return loss, and radiation pattern. The design was upsurged to confirm the best achievable result. This antenna resonates at three different frequencies at 1.6 GHz, 3.24 GHz, and 5.6 GHz with a reflection coefficient less than -10 dB and VSWR<2.
This paper presents the general concept of the nonlinear control of the asynchronous machine. The decoupling between the flux and the speed is realized by the input-output linearization technique. In this work, a nonlinear adaptive control method has been applied to the asynchronous machine and we give some initial results on the adaptive fuzzy logic control of nonlinear systems, linearized by state feedback. The adaptations of the parameters are used as a technique for robustifying the exact cancellation of the nonlinear terms, which is called for the linearization technique. The performance of the proposed nonlinear adaptive control scheme is demonstrated by simulation results. These results show that the proposed method achieves the desired dynamic performance.
This paper presents a new technique for UHF RFID antenna integration with a great impact on the automotive industry. The antenna has been optimized in HFSS and the prototype has been laminated and measured, in between two thin glass slices. The design takes into account the aspects related to the automotive safety glass, used for the windscreens in front of the automobiles. The paper proposes the use of aluminum sheets for the active element of the antenna together with three glass layers as substrates. This approach exhibits excellent results and could be applicable for vehicle long-range identification (AVI) or for cars tracking and localization.
SET is important in the field of nanoelectronics since a decade. This paper presents electrical characteristic of Single-Electron Transistor (SET) with Aluminum Island using Neural Network. The I-V characteristic of the Single-Electron Transistor (SET) is predicted according to different parameters (VG, T, VD, C, and R). The simulation process is based on analytical transistor model and neural network transistor model. Single Electron Transistor (SET) is the simplest device in which the effect of Coulomb blockade can be observed.
Alexandru Alexan, Anca Alexan, Oniga Ștefan and Alin Tisan
Nowadays SoC’s miniaturization provide smaller yet more powerful devices that are perfect to be used as local hubs for small to medium sensor networks. Although sensors can now be easily connected directly to the cloud, a hub can simplify the process of bringing sensor to the IoT cloud. One of the most popular SoC board, Raspberry PI, is perfect for the hub role due to its small form factor, price, processing power and connectivity. Our proposed system consists in a SoC based low cost raspberry pi hub that connects two Bluetooth sensortag CC2650 modules to a mongoDB cloud database.
Carmen Ana Anton, Oliviu Matei and Anca Diana Avram
In the information industry there is a huge amount of data which can be used to obtain relevant information necessary for them to be processed, cleaned and analyzed. This survey paper presents different data extraction research that can be applied in various areas. The main point is to determine a new approach and to be the starting point for new experiments in agriculture predictions. The collaborative data mining approach assumes that correlated units or devices will have similar behavior that can be determined with an acceptable approximation.
The aim of this work is to develop a device capable to record multiple audio signals (in our case 4 audio signals from 4 microphones of the area) and transmit the information through a network for acoustic source localization. We briefly discuss the first two versions, then the HRTF (Head Related Transfer Function) version of the acoustic sensors is detailed. Experimental results for identifying sound sources are also presented.
In this work, an adaptive nonlinear control method, was applied to a synchronous generator and we give some initial results on the adaptive control of nonlinear systems which are exactly input-output linearizable by state feedback. Parameters adaptation is used as a technique to robustify the exact cancelation of nonlinear terms, which is called for the linearization technique. The performance of the proposed adaptive nonlinear control scheme is demonstrated by simulation results. These results show that the proposed method achieves the same high dynamic performance as vector control.