Design and Simulation of Electrochemical Equivalent Circuit for Extended-gate FET pH Sensor Based on Experimental Value Using LTSPICE XVII

A SPICE model for extended-gate field-effect transistor (EGFET) based pH sensor was developed using standard discrete components. Capacitors and resistors were used to represent the sensing and reference electrodes in the EGFET sensor system and the values of the discrete component were varied to see the output of the transistor. These variations were done to emulate the EGFET sensor output in different pH values. It was found that the experimental transfer and output characteristics of the EGFET were very similar to those from the SPICE simulation. Other than that, the changes of value components in the equivalent circuit did not affect the transfer and output characteristics graph, but the capacitor value produced significant output variation in the simulation. This can be related to the modification on the equivalent circuit was done with additional voltage, VSB (source to bulk) to produce the different VT values at different pH.

Wearable, Integrated EEG–fNIRS Technologies: A Review

There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture of brain electrical and hemodynamic function and has been applied across various fields of brain science. The development of wearable, mechanically and electrically integrated EEG–fNIRS technology is a critical next step in the evolution of this field. A suitable system design could significantly increase the data/image quality, the wearability, patient/subject comfort, and capability for long-term monitoring. Here, we present a concise, yet comprehensive, review of the progress that has been made toward achieving a wearable, integrated EEG–fNIRS system. Significant marks of progress include the development of both discrete component-based and microchip-based EEG–fNIRS technologies; modular systems; miniaturized, lightweight form factors; wireless capabilities; and shared analogue-to-digital converter (ADC) architecture between fNIRS and EEG data acquisitions. In describing the attributes, advantages, and disadvantages of current technologies, this review aims to provide a roadmap toward the next generation of wearable, integrated EEG–fNIRS systems.

A Methodology to Analyze and Evaluate the Uncertainty Propagation Due to Temperature and Frequency and Design Optimization for EMC Testing Instrumentation

This paper presents a study and proposes a new methodology to analyze, evaluate and reduce the overall uncertainty of instrumentations for EMC measurements. For the scope of this work, the front end of a commercial EMI receiver is chosen and variations due to tolerances, temperature and frequency response of the system are evaluated. This paper illustrates in detail how to treat each block composing the model by analyzing each discrete component, and how to evaluate their influence on the measurand. Since a model can have hundreds or even thousands of parameters, the probability distribution functions (PDFs) of some variable might be unknown. So, a method that allows to obtain in a fast and easy way the uncertainty of the measurement despite having so many variables, to then being able to evaluate the influence of each component on the measurand, is necessary for a correct design. In this way, it will be possible to indicate which discrete components have the most influence on the measurand and thus set the maximum tolerances allowed and being able to design a cost-effective solution. Furthermore, this works presents a methodology which can easily be extended and applied to estimate and compute the uncertainty for electromagnetic interferences, energy storage systems (ESS), energy production, electric machines, electric transports and power plants in general.

A Survey on Create a Structured Building Models from Silhouette Buildings

Creating a virtual city is demanded for computer games and urban planning, but it takes more time to create numerous 3D building models. Develop an interactive system to construct structured 3D building models by using simple user interactions. The user draws the fraction of texture on silhouette, it should automatically fill the required regions by using some discrete element texture synthesis. Key thought is an intuitive, sketch-based, example palette for discrete component texture synthesis. In this paper, provide a review of some Discrete Element Texture Synthesis

Mathematical modeling of the correlation function and the energy spectra of the noise modulation function

Рассмотрены и проанализированы вопросы, связанные с математическим моделированием корреляционных функций и энергетических спектров функции помеховой модуляции. Показано, что при воздействии на сигнал узкополосной мультипликативной помехи в энергетическом спектре функции помеховой модуляции присутствует дискретная составляющая, мощность которой зависит от глубины фазовых искажений. При импульсно-флуктуационной модулирующей помехе с детерминированным тактовым интервалом энергетический спектр функции помеховой модуляции представляет собой сумму непрерывной и дискретной частей. The issues related to mathematical modeling of correlation functions and energy spectra of the noise modulation function are considered and analyzed. It is shown that when a signal is affected by a narrow-band multiplicative interference, a discrete component is present in the energy spectrum of the interference modulation function, the power of which depends on the depth of the phase distortion. In the case of pulse-fluctuating modulating interference with a deterministic clock interval, the energy spectrum of the interference modulation function is the sum of the continuous and discrete parts.

Development and scenario experiments with the new model of rapid bioresources crisis under expert control

This paper continues a series of studies dedicated to the analysis of the nonlinear dynamics of complex environmental processes through the use of computational methods. The construction of a computational structure that uses the forms of the hybrid time and the logic of redefined behavior of solutions of the special system of equations to describe important nonlinear phenomena in the man-agement of unstable biosystems is considered in the article. The difference between the described ap-proaches to building a model is that computational experiments based on differential equations and re-defined according to the rules simulate scenarios in the dynamics of controlled biological resources of different types. The form of time allows to operate on a discrete component of the trajectory to describe changes that are visible to experts from the monitoring statistics or from reports from the fishery. The computational structure logically corresponds to the life cycle of large marine fish. Continuous characteristics are used to manage changes in the life cycle model. The new models are intended to de-scribe in scenarios the phenomena of rapid degradation of valuable biological resources with a very small error in the regulation of the rate of removal from the stock. These models have shown that the tradi-tional methods of bioresources management by experts have fundamental shortcomings and problems. Experts overestimate the amount of stocks for commercial removal from the population. Regulation by setting quotas on fish catch does not prevent the fishery from collapsing. The approach is applicable for mathematical predicting of the rapidly inflowing phases of an ecological invasion in aquatic systems.

Parallel Causation in Oncogenic and Anthropogenic Degradation and Extinction

We propose that the onset and progressive destructive action of cancer within an individual bears a profound and striking similarity to the onset and progressive human-engendered destruction of global ecosystems and the extinction of entire species. Cancer in the human body and our human role in planetary, especially biotic, degradation are uncannily similar systems. For starters, they are the only two known complex systems where a discrete component changes its normal ecological role and function—turning on and potentially killing its host, and in so doing, itself. Both are “hostile takeovers.” Clearly, humans are integral to both systems. With cancer we are the host and victims of the rogue behavior of what starts out as a normal, healthy, and functionally important part of our bodies. With the biodiversity crisis, we are the part of the system that has changed, expanded, and proven so destructive to the system in which we live. We argue that given that these threats to our bodies and Earth are both essentially ecological diseases, understanding the critical role of ecological interdependencies for avoiding both cancer’s and humankind’s destruction of their respective homes should hopefully promote better stewardship of both by the only animal capable of recognizing the problems—us.