Circuitry Research Articles

A fractional-order hyperchaotic system that is period in integer-order case and its application in a novel high-quality color image encryption algorithm

A new fractional-order 5D hyperchaotic system based on memristor is constructed in this paper, with the speciality that the system exists chaotic and hyperchaotic states in the fractional-order case, while in periodic state in the integer-order. In addition, it has a variety of special phenomena at fractional-order such as infinite initial value range, parameter-dependent offset-boosting and amplitude control, attractor coexistence, and fractional order complexity greater than integer order. The correctness and feasibility of the system is verified by analog circuit simulation and hardware circuit implementation. Combining this system with image encryption algorithms, two new scrambling algorithms and a diffusion algorithm are proposed. And a high-quality encryption scheme that can be applied to a wide range of color images is proposed. The scheme is found to have excellent security after verification by various security analyses and comparison with other literatures. This paper provides a basis for the superiority of fractional-order chaotic systems and provides new methods in the field of image encryption.

Modeling of gas sensor based on zinc oxide thin films by feedback loop using operational amplifier

Nanostructured Zincoxide thin-film is widely used as a sensing material because of its tunable surface microstructure and wide optical bandgap but synthesizing a film with desired value of resistance and reproducibility of film is challenging, particularly by chemical method. In this work, we showed how a ZnO film of arbitrary resistance can be used as a sensor without application of heat using operational amplifier. Zinc oxide thin film was synthesized by using the Sol-gel method (Spin coating) and was characterized by XRD and SEM which revealed wurtzite polycrystalline nature of Zinc oxide film with average grain size 17–25 nm. In this report, we designed a noble electronic circuit capable of detecting analyte gas molecule even if very small change in film resistance occurs due to the influence of gas molecule. In recently available sensors, the quality of the film degrades over time due to repeated heating and cooling, resulting in a reduced lifetime for the sensor. To address this issue and achieve higher sensitivity, as well as to fabricate an affordable, portable, precise, energy-efficient and durable device, this electronic model offers advantages over classical temperature-dependent sensors.

Statistical Methods for Detecting Recycled Electronics: From ICs to PCBs and Beyond

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Globalization of semiconductor industry has led to unprecedented challenges in design, verification, test, security and trustworthiness of contemporary electronics. With parts sourced from various suppliers across the globe, who are beyond the auspices of the original designers and system integrators, serious concerns arise regarding integrity and trustworthiness of electronic circuits, which can be compromised by malicious actors at any stage of the component manufacturing and system assembly process. Among the variety of such concerns, recycled electronics sold as new by malicious suppliers/vendors pose a key threat to mission-critical end applications such as military systems, financial institutions, transportation security, and poser distribution infrastructure. Recycled electronics may experience performance degradation due to aging and, more importantly, may have shorter-than-expected lifetime, thereby raising serious reliability and safety issues. To combat this problem, statistical methods have been proposed in the past decade as a time-efficient and cost-effective approach to identify recycled electronics sold as new. Initially demonstrating in the context of detecting recycled Integrated Circuits (ICs), such methods are based on using statistics and machine learning to outline the parametric signatures of known brand-new ICs and, thereby, weed out ICs that do not fit the expected profile. This article summarizes the current state of knowledge in recycled IC detection schemes and discusses how these methods have inspired, over time, the development of similar solutions in a plethora of domains, including identification of recycled Field Programmable Gate Arrays (FPGAs), recycled hardware components in a network, and recycled Static Random-Access Memories (SRAMs)/Flash memories</i> .

(MIMO Buck Converter) Multi-Input Multi-Output DC-DC Buck Converter

Abstract: Designs of the power electronics circuitry are nowadays reducing the size, space, and weight of converter and inverter circuits. This is possible because of the availability of new high-switching frequency devices. This paper presents a generalized model of buck converters that is multi-input multi-output(MIMO) fixed and variable. The converter used for stepping down the voltage is called a buck converter. The buck converter is designed, analyzed simulated &amp; developed. The proposed model of this Buck converter consists of two parts: (a) Main converter circuits with the components like switch, inductor, diode, capacitor, and load, (b) A control circuit for controlling the operation of the switch using 10 10-turn potentiometer. This model can accurately give the power output voltage.

Biphasic action potentials in an individual cellular neural network cell

Hardware circuit that can effectively simulate biological neurons is an important basis for neuromorphic computation. Cellular neural network (CNN) cell is the basic information processor of a CNN, which acts like a neuron in the brain and has good circuit realizability. An individual memristive CNN cell is constructed by using a memristor instead of a linear resistor for imitating the ion channel time-varying conductance, in which abundant biphasic chaotic and periodic spiking activities are uncovered. This provides a new way to simulate biological neurons at the level of analog circuits. This paper first deduces the mathematical model of the memristive CNN cell, analyzes the equilibrium stability and then explores its dynamical behaviors based on numerical simulation. The results display that the different spiking activities can be effectively regulated by the system parameters and excitation parameters. Furthermore, the analog circuit of the memristive CNN cell is designed and the PSpice-based circuit simulations are performed to verify the correctness of the numerical simulations.

Power electronics anomaly detection and diagnosis with machine learning and deep learning methods: A survey

Power electronics pertains to the conception, regulation, and utilization of electronic power circuits to proficiently administer and transform electrical energy. Power electronics play a crucial role in maintaining the reliability, efficiency, and security of complex production systems. Also, increasingly important in various applications such as renewable energy systems, electric vehicles, and industrial automation. However, modern power electronics systems are vulnerable to both cyber and physical anomalies due to the integration of information and communication technologies. So far, different methods have been used to detect abnormalities. This survey provides an overview of the state-of-the-art in anomaly detection in power electronics using machine learning and deep learning methods. It highlights the potential of these techniques in addressing the growing complexity and vulnerability of power electronics systems.

Recent Progress in Nanophotonic Light Sources

It is increasingly crucial in the information era to rapidly transmit and process vast quantities of data. However, conventional electronic integrated circuits that operate at rates below 10 GHz encounter significant challenges in effectively managing parallel signals. How can information be transmitted more quickly? Photonic integrated circuits (PICs) are the solution. PICs have the capability of processing multiple signals in parallel on a single optical waveguide by multiplexing wavelength, polarization, and angular momentum. This enables PICs to transmit at speeds exceeding 100 GHz, showing the potential to increase processing speeds while simultaneously reducing power levels. Nevertheless, one drawback of photonic devices is that they are typically several orders of magnitude larger than electronic devices. Consequently, nanophotonics researchers have been working to make photonic devices smaller without compromising their ability to control light. Advances in nanoscale light sources can present a viable solution to overcome these obstacles. With the formation of long-lasting, spatially confined resonances in nanocavities, it is possible to precisely manipulate far-field radiation. In this article, we provide an overview of the recent achievements in nanophotonic light sources, including topological nanolasers and single-photon emitters.

Scientific and Technical Basis for the Development of an Induction Heating Unit for Milk Pasteurization

Introduction. Induction heating is a preferred heating technique for industrial, medical and consumer systems, because it has a number of advantages over traditional heat transfer methods. The advantages include energy efficiency, heating rate, safety of operation, cleanliness of the process, low metal consumption, simple design, and precise control of the temperature of the heated raw materials. An induction heating unit is especially important for farms involved in processing of milk and producing milk-based products. Aim of the Study. The study is aimed at developing a prototype unit for long-term pasteurization of milk using a container heated by induction currents and at selecting optimal operating conditions for the developed prototype unit. Materials and Methods.There was used 3D modeling in the KOMPAS-3D computeraided design system to develop the main components of a milk pasteurization prototype unit with induction heating. The container for raw materials, stirrer and lid are made of stainless steel AISI 304 and AISI 430. The inductor is a frame made of polymer material with a litz wire arranged in a spiral manner. The body of the prototype unit is made of aluminum composite material. The developing and debugging of the electronic circuit of the prototype unit power part was carried out with the use of the design program Proteus 7.10. The microcontroller Mega 2560 was used to make the power part of the electromagnetic induction generation unit. The controlled temperature was monitored by using the waterproof temperature sensor DS18B20. A thermal imager was used to visualize the propagation of the thermal field over the surface of the container walls. Results. The structure diagram of the developed prototype unit with induction heating for long-term pasteurization of milk is presented. The article gives grounds to the use of the necessary elements and actuators in the unit for pasteurization of milk in a container heated by induction currents. There are presented a diagram of the developed power part for the prototype unit and the results of testing it when heating containers made of various materials. An algorithm has been developed to control the operation and PID regulation of the milk pasteurization in an experimental unit with the use the Raspberry Pi microcomputer. The graphs of transient processes when changing the coefficients of PID temperature control are presented. Discussion and Conclusion. When testing the induction heating principle on stainless steels of different compositions, it has been concluded that for the efficiency of heating the container, there is required a ferromagnetic steel pad welded on top of the main container made of food-grade stainless steel. The developed system of inductors made it possible to create a prototype unit with two heating zones depending on the volume of processed raw materials that is important for small farms engaged in processing milk and producing milk-based products.

Applications of 5G technology in flexible electronics

As an emerging field in the industry, flexible electronics not only integrates technologies in fields such as electronic circuits, materials, and flat displays, but also spans industries such as semiconductors, materials, chemicals, and printed circuit boards. Its application importance in various fields such as information, energy, healthcare, and manufacturing are increasingly prominent. The main topic of this article is the implementation of 5G technology in the flexible electronics industry. To begin with, this article presents the traits of flexible electronics. Secondly, it stated the development of 5G and introduced its characteristics. The result shows that 5G is not only an air interface technology with higher rates, larger bandwidth, and stronger capabilities, but also an intelligent network for user experience and business applications. Then, combined with 5G and flexible electronics, they are applied in three aspects: mobile antennas, intelligent equipment, and remote medicine. Finally, the current problems and future prospects in the fields of flexible electronics and 5G were summarized. Currently, it faces challenges such as signal interference and power consumption due to the unique characteristics of flexible materials. And in the future, 5G can potentially enhance the performance of flexible electronics, leading to the creation of new products and services in various industries.

An Active Equalization Method for Cascade Utilization Lithium Battery Pack With Online Measurement of Electrochemical Impedance Spectroscopy

Abstract With the rapid development of new energy vehicles, a large number of lithium batteries have been produced, used and retired. The full utilization and safe use of the whole life cycle of the batteries have become a hot topic in the research field. Compared to brand new batteries, retired power batteries exhibit significant inconsistency and safety risks due to aging, thus necessitating effective battery equalization and safety monitoring methods. In this article, an active equalization method for cascade utilization lithium battery pack with online measurement of electrochemical impedance spectroscopy is proposed to actively equalize the retired battery pack and alleviate the inconsistency of the battery pack. Besides, the electrochemical impedance spectrum of the single battery is measured online without adding additional hardware circuit, so as to realize real-time safety monitoring and solve the safety problem of the battery. Finally, in order to verify the feasibility of the active equalization and electrochemical impedance spectrum monitoring scheme designed in this article, a simulation model is built based on MATLAB-Simulink platform. The simulation results show that the six batteries in the proposed scheme model complete the active equalization in about 710s, 850s and 740s respectively in the balance mode, charge mode and discharge mode, and the electrochemical impedance spectrum in the frequency range of 1-20KHz can be successfully measured.

An artificial intelligence-based approach for identifying the in-plane orthotropic mechanical properties of electronic circuit boards

The finite element modeling of electronic boards is a challenging task due to the complexity of the multi-component board structure. Hence, it is acceptable to attain equivalent orthotropic in-plane mechanical properties and use them throughout the finite element analysis (FEA) simulations. This paper aims to present an artificial intelligence-based methodology, using the artificial neural networks (ANNs), to estimate the in-plane mechanical properties of the printed circuit boards (PCB). In this methodology, the ANN technique used FEA data to find the relationship between the first 10 natural frequencies and the mechanical properties, that is, modulus of elasticity, Poisson’s ratio and the shear modulus, of the test board. Subsequently, the experimentally derived natural frequency data is then imported to the ANN model to identify the equivalent orthotropic properties. The ANN-predicted properties are plugged back into FEA and provided natural frequencies and mode shapes that are in great match with experimental results.

Review of Methods for PCB Panel Depanelization and Methods for Correct Assembly of Electronic Components on PCB Panels

Currently, processes related to PCBs (printed circle board), such as depanelization and checking the correct functioning of the boards, are carried out in separate devices. The purpose of this article is to review the literature and analyze trends related to these aspects of PCB panel manufacturing. The purpose of this analysis is to indicate the currently used depanelization methods and methods for checking the correctness of the assembly of electronic circuits on PCB panels. The publications were found in such knowledge bases as Scopus, IEEE Xplore or Emerald insight. In the following article, a systematic literature analysis along with a mapping study is used. This publication provides a review of selected scientific papers found in the above-mentioned databases. Based on these analyses, insights related to future work on both aspects of PCBs were presented. These insights are part of the development of new integrated devices for depanelization and verification of PCBs.

Analysis method of explosive electromagnetic radiation energy

AbstractThe energy of electromagnetic radiation from explosions is coupled to electronic equipment circuits, disrupting the initiation sequence or causing failure in an increasing number of cases, which seriously affects the stability of weapon systems. There is a significant difference between the characteristics of the explosive electromagnetic radiation signals and modulated electromagnetic signals. The electric field intensity and signal power cannot directly represent the magnitude of the explosive electromagnetic radiation energy, and traditional electromagnetic signal analysis methods are unsuitable for explosion electromagnetic signal analysis. To solve this problem, the mechanism of explosive electromagnetic radiation was first analyzed. Through verification experiments of the explosion electromagnetic intensity and temperature, it was concluded that there is a strong correlation between the explosion plasma temperature and electromagnetic intensity. The temperature of the explosive plasma is derived based on the measured surface temperature of the explosive fireball, a functional relationship is established between the energy of the explosive plasma and the temperature of the plasma, and plasma energy is introduced as a parameter for electric field intensity correction. The interference signal analysis method based on eye diagram is used to calibrate the electromagnetic radiation damage ability, achieving quantitative analysis of the interference degree of electromagnetic radiation energy on the signal, and providing a new approach for the analysis of explosive electromagnetic radiation energy.

Nature inspired algorithm based design of near ideal fractional order low pass Chebyshev filters and their realization using OTAs and CCII

Fractional order filters offer greater freedom of design and a precise control over stopband attenuation in electronic circuits and systems. This paper presents the design of a fractional order low pass Chebyshev filter (FOLCF) that achieves near-ideal response characteristics. The methodology introduced utilizes metaheuristic optimization methods, including particle swarm optimization, firefly algorithm, and grey wolf optimization. These techniques are employed to precisely adjust the filter coefficients for the orders (1+α), (2+α), and (3+α). The adjustment is carried out by comparing the desired behaviour of the FOLCF with generalized fractional order low pass transfer functions. Throughout these instances, the parameter α is varied within the range of (0, 1). The designed filters are then tested and compared on the basis of various factors. Simulation results demonstrate that the designed filters closely follow the behaviour of an ideal Chebyshev filter with maximum passband and stopband magnitude errors being −31.93 dB and −52.74 dB respectively for (1+α) order filters. These values for (2+α) and (3+α) order FOLCF have been observed to be −30.04 dB and −55.91 dB; −17.72 dB and −49.52 dB respectively. Furthermore, it has been observed that the proposed work outperforms existing state-of-the-art approaches in various aspects, including magnitude error, stopband attenuation, and cut-off frequency. The stability of the designed filters has been verified through stability analysis. Additionally, practical feasibility of the proposed FOLCF is demonstrated through SPICE simulations for α = [0.2,0.5,0.8] using second generation current conveyor (CCII) and operational transconductance amplifier (OTA) based topologies while approximating the constant phase element using fifth order continued fraction expansion. The SPICE implementations closely follow the behaviour of ideal filter with −48.67 dB and −62.8 dB as mean square errors for CCII and OTA circuits respectively, showcasing the proposed filters' superiority and practical applicability in advanced electronic design.

Advancing frontiers: Semiconductor fibers in modern technology

Semiconductors emerged as pivotal agents of technological transformation in the 1940s with the groundbreaking advent of the transistor. Their profound significance reverberates across a myriad of contemporary applications, spanning electronic circuits, solar cells, light-emitting diodes, and lasers. Beyond their traditional electronic purview, semiconductors reveal promising characteristics when harnessed in bulk for deployment in optics and photonics, particularly within the infrared spectrum. The dawn of the 21st century witnessed the establishment of semiconductors as the cornerstone material for optical fibers. Among the array of semiconductors enlisted for this purpose are silicon, germanium, silicon-germanium, zinc selenide, and selenium telluride, showcasing remarkable efficacy in guiding light across the near-infrared and mid-infrared domains. A plethora of alternative semiconductor materials have been posited for incorporation into optical fibers, each offering unique advantages. Of notable mention is the semiconductor's pronounced nonlinearity, surpassing silica-based glasses by several orders of magnitude. This exceptional trait unlocks a myriad of optical phenomena when semiconductors serve as the core medium within optical fibers. Within this discourse, we provide a succinct overview encompassing fabrication methodologies, recent advancements, prevalent forms of semiconductor fibers, as well as the myriad applications and attendant challenges intrinsic to the evolution of semiconductor fibers.

Study on the overall performance of ZrO2 nanoparticle reinforced Co and CoP composite coating prepared by electrodeposition

Co coating and CoP alloy coating reinforced by ZrO2 nanoparticles are prepared on the surface of the brass substrate by DC electrodeposition to improve the magnetic property and corrosion resistance. The Co/ZrO2 and CoP/ZrO2 composite coating electrodeposited on the surface of brass can be used in the field of thin-film magnetic heads, thin-film sensors and electronic circuits. By comparing the performance of different cobalt-based alloy coatings, the influence of ZrO2 nanoparticles on the electrodeposition and performance of Co coating and CoP alloy coating is studied. It is found that cobalt electrodeposition is a typical irreversible process with diffusion control. The CoP alloy coating comprises about 81% Co and 19% P. However, the electrodeposited CoP/ZrO2 composite coating possesses about 86% Co, 3% P, and 11% Zr. The incorporation of a 15 g/L ZrO2 nanoparticle with the size of 50 nm is beneficial to improve the cobalt content and decrease the amount of phosphorus in the CoP/ZrO2 composite coating. The hardness of CoP alloy coating is about 350 HV. However, the surface hardness of Co/ZrO2 and CoP/ZrO2 composite coating is about 400 HV and 470 HV, respectively. All the cobalt-based coatings show cellular surface morphology. The ZrO2 nanoparticles incorporated in the cobalt coating can enter into the cobalt lattice or disperse at the grain boundary to refine the grain size and limit the displacement of magnetic domain to improve the corrosion resistance and coercivity extremely. It is found out that the electrodeposited CoP/ZrO2 composite coating has the best corrosion resistance with only 9.7 μA/cm2 corrosion current density and the largest coercivity of 665.1 Oe. The optimal corrosion resistance and good magnetic performance of prepared CoP/ZrO2 is a promising material in the field of microelectromechanical systems as micro pumps, magnetic read heads, micro motors, and so on.

Structural, morphological and dielectrical properties of acorn cupule extract doped hydrogels

Acorn cupule extract doped different hydrogels were prepared to examine their structural morphological and dielectrical properties at room temperature. Structural, morphological and dielectrical parameters for all samples were found by using the XRD, SEM, EDX and impedance spectroscopy. The conductivity, capacitive effect and electronic circuit properties for acorn cupule extract doped hydrogels have not studied before in the literature. Therefore, the complex impedance, capacitance, phase angles, dielectric constant, tangent factor, electric modulus and frequency evolution of ionic conductivity (s-parameters) were successfully analyzed in detail using impedance spectroscopy in the frequency range of 102 to 107 rad/s at RT. Furthermore, the Cole-Cole plots of the dielectric constant adapted to the Smith chart and general RC equivalent circuit was showed in detail. It was determined that the dielectric effect was at its highest values in the frequency range of 102 to 105 rad/s.

2D BDiode – A switchable bidirectional diode for analog electronic circuits fabricated entirely from 2D materials

The advent of two-dimensional (2D) materials has led to innovative and compact electronic devices with remarkable properties. In this work, we introduce a switchable bidirectional diode (2D BDiode), fabricated entirely using different 2D materials, that serves as a fundamental building block for various analog circuit applications. This proof-of-concept diode exhibits the ability to control the flow of current in both forward and reverse bias configurations, enabling advanced functionality in the realm of analog circuit design. We provide a SPICE-based model for the diode based on current-voltage device characterization, capturing its behavior under different biasing conditions, and finally demonstrate a few potential use cases of the 2D BDiode including AC/DC conversion, DC/AC conversion and charge pump circuits.

Beyond-adiabatic Quantum Admittance of a Semiconductor Quantum Dot at High Frequencies: Rethinking Reflectometry as Polaron Dynamics

Semiconductor quantum dots operated dynamically are the basis of many quantum technologies such as quantum sensors and computers. Hence, modelling their electrical properties at microwave frequencies becomes essential to simulate their performance in larger electronic circuits. Here, we develop a self-consistent quantum master equation formalism to obtain the admittance of a quantum dot tunnel-coupled to a charge reservoir under the effect of a coherent photon bath. We find a general expression for the admittance that captures the well-known semiclassical (thermal) limit, along with the transition to lifetime and power broadening regimes due to the increased coupling to the reservoir and amplitude of the photonic drive, respectively. Furthermore, we describe two new photon-mediated regimes: Floquet broadening, determined by the dressing of the QD states, and broadening determined by photon loss in the system. Our results provide a method to simulate the high-frequency behaviour of QDs in a wide range of limits, describe past experiments, and propose novel explorations of QD-photon interactions.

Exploring the use of natural fiber-reinforced polymer composites in electronic circuit boards

Sustainable banana fiber has become potential alternative reinforcement materials instead of synthetic fibers for the development of the polymer composites. These natural fiber-reinforced polymer composites can be utilized for numerous applications. The current study aims to fabricate the epoxy/banana fiber composites under varying fraction of banana fibers. Compression molding process was employed to fabricate the composites since it is frequently used for production of large-scale composite parts like automotive components. Various weight percentages of banana fiber (50%, 60%, 70%, and 80% by weight) and epoxy (50%, 40%, 30%, and 20% by weight) were utilized for the development of the composites. Results revealed that the combination of the epoxy (40 wt. %)/banana fiber (60%) has the higher tensile strength of 22.67 MPa, flexural strength of 39.56 MPa, impact strength of 2.97 kJ/m2, and Barcol hardness of 35.24 among the various combinations of the epoxy and banana fiber composites. This work highlights the viability of sustainable materials within the materials engineering field, promoting the development of eco-friendly alternatives in composite fabrication.