The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A method that replaces the temporal partial differential operators ∂n/∂tn of a partial differential equation (PDE) with Laplace domain impedances sn is proposed for realizing analog circuits that solve the wave equation. A systolic array of analog circuit modules is employed to simulate electromagnetic wave propagation. Mathematical models and corresponding analog circuits are described for internal...
Far field radio frequency (RF) harvesting technique have become popular method to power wireless sensor network (WSN) recently. However, due to the low efficiency of RF energy harvester, RF powered WSN is unable to perform dynamic network allocation. Accordingly, the functionality of WSN is limited. This paper presents a practical RF powered wireless sensor node design that could dynamic join the...
Modeling biological behaviour requires a multidisciplinary approach and very large computational resources. In this paper, we present an overview of our research work with regards to biological neuron network (NN) modeling, electrochemical reaction emulation for neurotransmitters and finite element modeling (FEM) of a very low pressure micropump for neurotransmitter concentration modulations. Three...
A new color image segmentation of noisy images based on spatial information with the Generalized Dirichlet mixture model is presented. The methodology uses Markov Random Field distribution with a novel factor that is induced in mixture model. The model is learned using Expectation Maximization (EM) algorithm based on Newton-Raphson approach. The obtained results using real images are more encouraging...
Pioneering developments in electrical engineering are based on inspirations from biology. They exhibit naturally an efficient information processing. For example, hardware realizations of memristive circuits mimicking the anticipatory behavior of unicellular organisms like amoebas have been developed in this context. Unfortunately, circuits are not appropriate for algorithms dedicated in the area...
Neuromorphic circuits are potential candidates for solving costly computations in an efficient manner. Such circuits, mimicking partial functionalities of the brain, need a large number of components. Simulation models are appropriate for first investigations, but they are very time-consuming regarding complex systems. Hardware realizations of specific components, like memristive devices, in such...
In this work, we investigate the hardware implementation of Support Vector Machine (SVM) prediction on an FPGA platform for industrial ultrasound applications. Specifically, SVM is used as classifier for identifying ultrasonic A-scan signals as signals with flaw or signals without flaw. Hardware acceleration using FPGA is the main theme of the presented work. The architecture used to implement the...
This paper introduces a new design method of discrete-time fractional-order PIλ controllers. It is based on using an exact discretization method that always guarantees the implementation of 3rd-order, minimum-phase, and stable discrete-time controllers. The structure of the controller can be considered as an adaptive one since it only depends on the order of the controller, which is one of three tuning...
Selfdischarge characteristics of supercapacitors play a significant role in their sizing and power management. Furthermore, supercapacitor-s' selfdischarge, defined as no load voltage drop, is directly proportional to its charging rate. The paper proposes a framework to empirically model the terminal voltage response of supercapacitors during charge and selfdischarge. A set of empirical formulae has...
This paper proposes a new strategy for vibration harvesting using piezoelectric material. This work relies on an adaptation of the classical Synchronous Electrical Charge Extraction (SECE). Instead of harvesting the energy at every displacement extremum, we choose to wait a certain number of extremum before harvesting the accumulated energy. This technique extends the harvested power compared to SECE,...
The ever-increasing need for higher number of neural recording channels along with the stringent power and area requirements of a brain-implantable device, demand for ultra-compact and scalable channel architectures. In this paper, we will first briefly discuss the fundamental scaling issues of conventional AC- and DC-coupled neural front-ends. Next, we will analytically examine the feasibility of...
A spiking neuron and 3-terminal Resistive RAM (RRAM) model are proposed and simulated as a neural network. The system is analyzed as a complex network of spiking neurons connected by synapses to demonstrate a biologically-inspired associative memory. In recent years, Machine Learning and Artificial Intelligence have become popular fields due to readily available high performance computing systems...
In this paper, we illustrate, through examples, a novel graph-based modeling technique of two-state (on-off) PWM power converters. Differential equations of power converters are derived by inspection, based on two incident matrices, β(u) and J(u). We associate to each circuit (on, u = 1, or off, u = 0, circuits) a digraph and identify current loops (inductor-capacitor, voltage source-inductor, current...
In this paper, an analytical approach is proposed for solving a special set of transcendental equations, which are often encountered for eliminating harmonics in converters. Typically, numerical solutions are used for solving the transcendental equations. The disadvantage of numerical approach is overhead in computational effort as it requires a PC with expensive software and solution time can also...
A general methodology of device array mismatch characterization is introduced, analyzed and verified. Instead of measuring each device's parameter individually, the device array is configured as a data converter and the mismatch information is extracted from the differential linearity (DNL) of the converter. Systematic and random mismatch are characterized separately using the proposed decomposition...
Advances in real-time hardware in the loop (HIL) boards and software has provided an excellent opportunity to implement and test control algorithms rapidly on real systems [1-7]. Hardware in the loop development allows for rapid development, testing and verification of control systems. This paper, using a servo system as an example, clearly explores modern control systems design cycle, which includes...
This paper presents a new approach towards the design and implementation of high-throughput impedimetric screening for life science applications. Herein, we propose a new cell-on-chip model for cellular analysis. A low complexity platform was developed to demonstrate the advantages of this model for cellular analysis. This low cost platform consists of an array of optically transparent electrodes...
Scalar addition and multiplication generally obey commutative and distributive laws. However, in their hardware implementation, error propagation and accumulation do not necessarily follow the same rules. In this paper we present a statistical analysis of the accuracy in complex multiplication approaches for IEEE 754 single precision operands. Several approaches were evaluated using a dual approach...
The paper describes evaluation of the first, second and (with most attention to) third harmonics of the drain current in a MOS transistor operating in moderate inversion. The dependence of this current on the gate-source voltage is approximated using a simplified “reconciliation” model developed by Y. Tsividis. Then, the drain current components depending exponentially on normalized signal voltage...
This paper proposes a novel fully differential ultra-low voltage transimpedance amplifier (TIA) based on a CMOS translinear circuit. Following a simple bias strategy, its transimpedance gain can be adjusted to the desired accuracy either by means of an external resistor or using internal voltage and current references. To a first order approach, the transresistance results independent from technological...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.