International Electrotechnical Commission Research Articles

CFD Investigation for Surface Roughness Effects on the Hydrodynamics of Cavitating Turbulent Flow through a Low Head Prototype Francis Turbine

Surface characteristics have an important role in defining hydrodynamics of the flow through hydraulic machines. Surface roughness is a critical parameter that contributes to altering near-wall flow features and promotes frictional losses in various components of a water turbine. The nature of flow through the Francis turbine runner is highly complex, especially at cavitating regimes, and the surface roughness effects add to the flow complexity. The present work is aimed at evaluating surface roughness effects on the cavitation performance of a low head prototype Francis turbine computationally. Complete cavitation characteristic of the turbine is derived with the consideration of smooth and rough boundaries by implementing SST k-ω turbulence model and cavitation model based on the Rayleigh-Plesset equation, and a comparative study is carried out comprehensively. For the analysis, the complete flow domain of the turbine is considered, and the simulations are conducted for four different operating conditions from the part load of 60% to overload of 120%. Different values of equivalent sand grain roughness, ks, are assigned to different components of the turbine by following the International Electro-Technical Commission standard IEC 62097 Edition-2. It is concluded that the surface roughness effects on the performance of the turbine in the absence of cavitation are not significant for operation at BEP but for the part load of 60% and overload operations, it has considerable hydrodynamic effects. However, these effects become more detrimental at developed cavitation regimes. The obtained computational results are found in a fair agreement with the available experimental results and are quite consistent with the previous research.

Characterization of Flexible Amorphous Silicon Thin-Film Transistor-Based Detectors with Positive-Intrinsic-Negative Diode in Radiography.

Low-dose exposure and work convenience are required for mobile X-ray systems during the COVID-19 pandemic. We investigated a novel X-ray detector (FXRD-4343FAW, VIEWORKS, Anyang, Korea) composed of a thin-film transistor based on amorphous silicon with a flexible plastic substrate. This detector is composed of a thallium-doped cesium iodide scintillator with a pixel size of 99 μm, pixel matrix of 4316 × 4316, and weight of 2.95 kg. The proposed detector has the advantages of high-noise characteristics and low weight, which provide patients and workers with an advantage in terms of the dose and work efficiency, respectively. We performed a quantitative evaluation and an experiment to demonstrate its viability. The modulation transfer function, noise power spectrum, and detective quantum efficiency were identified using the proposed and comparative detectors, according to the International Electrotechnical Commission protocol. Additionally, the contrast-to-noise ratio and coefficient of variation were investigated using a human-like phantom. Our results indicate that the proposed detector efficiently increases the image performance in terms of noise characteristics. The detailed performance evaluation demonstrated that the outcomes of the use of the proposed detector confirmed the viability of mobile X-ray devices that require low doses. Consequently, the novel FXRD-4343FAW X-ray detector is expected to improve the image quality and work convenience in extended radiography.

A Deep Learning through DBN Enabled Transmission Line Fault Transient Classification Framework for Multimachine Microgrid Systems

The reliable operation of power systems becomes a formidable job these days due to the high amount of complexities in the expanded power system networks. The power system networks often comprise microgrids that encounter over 80% of faults due to their exposure to unpredictable weather conditions, which reduce the insulation strength of the conductors which damaged the distribution system. Therefore, detection, classification, and location of such faults in the distributing systems are a must to ensure the flawless operation of the power systems. Machine learning methodologies are getting more attention to detect these types of faults due to their capability to handle complex fault information. Nevertheless, the obstacles are even now on the board as the traditional machine learning techniques rely on oversimplified frameworks that are incapable of analyzing a wide range of latent and explicit parameters and are also time-consuming. In this work, a unique defect diagnosis technique based on a multiblock deep belief network (DBN) and the fundamental discrete wavelet transform (DWT) is proposed, allowing the architecture to identify the deterministic reconstructing throughout its inputs. This method enables a strong multilevel generative network to utilize fault-related properties, decodes high variability functionalities, and requires minimal previous knowledge. The suggested approach is validated using a wide set of input data at various sampling frequencies. To evaluate the efficiency of DBN, a benchmark methodology based on the International Electrotechnical Commission (IEC) standard was used. White Gaussian Noise (WGN) was also implemented to test the envisioned network’s resilience. The findings show that the approach is capable of executing exact diagnosis procedures.

Defeat Magic with Magic: A Novel Ransomware Attack Method to Dynamically Generate Malicious Payloads Based on PLC Control Logic

The Industrial Control System (ICS) is a public facility that provides services to lots of users; thus, its security has always been a critical factor in measuring its availability. Recently, a new type of attack on ICS has occurred frequently, which realizes the extortion of users by invading the information domain and destroying the physical domain. However, due to the diversity and unavailability of an ICS control logic, the targets of such attacks are usually limited to PCs and servers, leaving more disruptive attack methods unexplored. To contribute more possible attack methods to strengthen the immunity of ICS, in this paper, we propose a novel ransomware attack method named Industrial Control System Automatic Ransomware Constructor (ICS-ARC). Compared to existing ICS ransomware, ICS-ARC can automatically generate an International Electrotechnical Commission (IEC) compliant payload to compromise the Programmable Logic Controller (PLC) without a pre-known control logic, dramatically reducing adversary requirements and leaving room for error. To evaluate the attack capability of ICS-ARC, we built a tap water treatment system as the simulation experiment target for verification. The experimental results determine that ICS-ARC can automatically generate malicious code without the control logic and complete the attack against target PLCs. In addition, to assist the related research on future attacks and defenses, we present the statistical results and corresponding analysis of PLC based on Shodan.

Towards efficient Monte Carlo N-Particle simulation of a positron emission tomography (PET) via source volume definition

Monte Carlo N-Particle (MCNP) simulation has been extensively proven in nuclear medicine imaging systems, most notably in designing and optimizing new medical imaging tools. It enables more complicated geometries and the simulation of particles passing through and interacting with materials. However, a relatively long simulation time is a drawback of Monte Carlo simulation, mainly when complex geometry exists. The current study presents an alternative variance reduction technique for a modeled positron emission tomography (PET) camera by reducing the height of the source volume definition while maintaining the geometry of the simulated model. The National Electrical Manufacturers Association (NEMA) of the International Electrotechnical Commission (IEC) PET's phantom was used with a 1 cm diameter and 7 cm height of line source placed in the middle. The first geometry was fully filled the line source with 0.50 mCi radioactivity. In contrast, the second geometry decreased the source definition to 2.4 cm in height, covering 1 cm above and below the sub-block detector level. The source volume definition approach led to a 71% reduction in the total photons to be simulated. Results showed that the proposed variance reduction strategy could produce spatial resolution as precise as fully filled geometry and sped up the simulation time by approximately 65%. Hence, this strategy can be utilized for further PET optimizing simulation studies.

ARTIFICIAL INTELLIGENCE IN THE PUBLICITY OF UKRAINE: REGULATORY DEFINITION

The article is devoted to the issues of defining the concept of artificial intelligence, fixing this concept in national legislation and its application in the text of legal acts regulating the organization and implementation of legal proceedings in Ukraine. The authors point out the problems associated with the use of the concept of artificial intelligence in the legal proceedings of Ukraine and make proposals for solving these problems. In the article, the authors note that in our time, the prevalence of the use of artificial intelligence in various areas of human life, ideas for its implementation in legal proceedings have become more often expressed by scientists. They cite as an example the Chinese experience of the functioning of the digital court. The definitions of the concept of “artificial intelligence”, which are available in explanatory dictionaries and encyclopedias, are analyzed. Attention is drawn to the need to reflect in the definition of this concept not only the technical component of devices that imitate human activity, but such human abilities as to calculate, reveal the meaning, generalize and learn from past experience. It is pointed out the need to take into account in the definition of the concept and when using artificial intelligence the special standards of reliability of artificial intelligence set out in the technical report ISO/IEC TR 24028 of the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC), as well as the European Ethical Charter CEPEJ on the use artificial intelligence in judicial systems, which defines the main methodological principles used in the automated processing of judicial decisions. In national legal proceedings, specialized software is reduced to the use of an automated court document management system. It is concluded that at the moment in Ukraine there is no regulatory framework for the use of artificial intelligence in order to make judicial decisions. Key words: legal proceedings; artificial intelligence; digital court; specialized court software; court automated document management system.

Safety Analysis for Laser-Based Optical Wireless Communications: A Tutorial

Light amplification by stimulated emission of radiation (laser) sources has many advantages for use in high-data-rate optical wireless communications (OWCs). In particular, the low-cost and high-bandwidth properties of laser sources, such as vertical-cavity surface-emitting lasers (VCSELs), make them attractive for future indoor OWCs. In order to be integrated into future indoor networks, such lasers should conform to eye safety regulations determined by the International Electrotechnical Commission (IEC) standards for laser safety. In this article, we provide a detailed study of beam propagation to evaluate the received power of various laser sources, based on which and the maximum permissible exposure (MPE) defined by the IEC 60825-1:2014 Standard, we establish a comprehensive framework for eye safety analyses. This framework allows us to calculate the maximum allowable transmit power, which is crucial in the design of a reliable and safe laser-based wireless communication system. Initially, we consider a single-mode Gaussian beam and calculate the maximum permissible transmit power. Subsequently, we generalize this approach for higher mode beams. It is shown that the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$M$ </tex-math></inline-formula> -squared-based approach for analysis of multimode lasers ensures the IEC eye safety limits; however, in some scenarios, it can be too conservative compared to the precise beam decomposition method. Laser safety analyses with consideration of optical elements, such as lens and diffuser, as well as for the VCSEL array, have been also presented. Skin safety, as another significant factor of laser safety, has also been investigated in this article. We have studied the impacts of various parameters, such as wavelength, exposure duration, and the divergence angle of laser sources on the safety analysis by presenting insightful results.

Measurement of magnetostimulation thresholds intheporcine heart.

Powerful MRI gradient systems can surpass the International Electrotechnical Commission (IEC) 60601-2-33 limit for cardiac stimulation (CS), which was determined by simple electromagnetic simulations and electrode stimulation experiments. Only a few canine studies measured magnetically induced CS thresholds in vivo and extrapolating them to human safety limits can be challenging. We measured cardiac magnetostimulation thresholds in 10 healthy, anesthetized pigs using capacitors discharged into a flat spiral coil to produce damped sinusoidal waveforms with effective stimulus duration ts,eff = 0.45 ms. Electrocardiography (ECG), blood pressure, and peripheral oximetry signals were recorded to determine threshold coil currents yielding cardiac capture. Dixon and CINE MR volumes from each animal were segmented to generate porcine-specific electromagnetic models to calculate dB/dt and E-field values in the porcine heart at threshold. For comparison, we also simulated maximum dB/dt and E-field values created by three MRI gradient systems in the heart of a human body model. The average dB/dt threshold estimated in the porcine heart was 1.66 ± 0.23 kT/s, which is 11-fold greater than the IEC dB/dt limit at ts,eff = 0.45 ms, and 31-fold greater than the maximum value created by the investigated MRI gradients in the human heart. The average E-field threshold estimated in the porcine heart was 92.9± 13.5V/m, which is 6-fold greater than the IEC E-field limit at ts,eff = 0.45 ms and 37-fold greater than the maximum gradient-induced E-field in the human heart. This first measurement of cardiac magnetostimulation thresholds in pigs indicates that the IEC cardiac safety limit is conservative for the investigated stimulus duration (ts,eff = 0.45 ms).

A novel SVM-based decision framework considering feature distribution for Power Transformer Fault Diagnosis

International Electrotechnical Commission (IEC) proposed the IEC three-ratio method based on Dissolved Gas Analysis (DGA), which is one of the most effective tools for Power Transformer Fault Diagnosis (PTFD). However, the PTFD accuracy is generally limited because the classification boundary could be too stiff to classify samples located near the boundary. The Support Vector Machine (SVM) was applied to PTFD to improve diagnosis accuracy, while traditional SVM multi-classification methods and parameter optimization algorithms are subject to poor training efficiency. As a result, the SVM-based PTFD model is difficult to update frequently with the accumulation of fault data. A new SVM-based PTFD decision framework is proposed in this paper which can significantly boost the training efficiency and ensure the accuracy. In the proposed framework, a multi-step feature extraction process consisting of characteristic gas concentration and its ratios is applied. Based on the feature distribution of various samples, a proper SVM multi-classification method is presented using a hierarchical decision tree structure. In addition, according to the principles of SVM and radial basis kernel function, a Support Vector feature-based parameter optimization algorithm (SVFB) is proposed. IEC TC 10 data and the historical data of online transformer monitoring provided by the State Grid Corporation of China are adopted as sample sets. The simulation results demonstrate that the proposed decision framework can reach high diagnosis accuracy while shortening the training time.

A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation.

In order to overcome the spectral interference of the conventional Fourier transform in the International Electrotechnical Commission framework, this paper introduces a Bregman-split-based compressive sensing (BSCS) method to estimate the Taylor–Fourier coefficients in a multi-frequency dynamic phasor model. Considering the DDC component estimation, this paper transforms the phasor problem into a compressive sensing model based on the regularity and sparsity of the dynamic harmonic signal distribution. It then derives an optimized hybrid regularization algorithm with the Bregman split method to reconstruct the dynamic phasor estimation. The accuracy of the model was verified by using the cross entropy to measure the distribution differences of values. Composite tests derived from the dynamic phasor test conditions were then used to verify the potentialities of the BSCS method. Simulation results show that the algorithm can alleviate the impact of dynamic signals on phasor estimation and significantly improve the estimation accuracy, which provides a theoretical basis for P-class phasor measurement units (PMUs).

Harmonization based on quantitative analysis of standardized uptake value variations across PET/CT scanners: a multicenter phantom study.

This study aimed to measure standardized uptake value (SUV) variations across different PET/computed tomography (CT) scanners to harmonize quantification across systems. We acquired images using the National Electrical Manufacturers Association International Electrotechnical Commission phantom from three PET/CT scanners operated using routine imaging protocols at each site. The SUVs of lesions were assessed in the presence of reference values by a digital reference object (DRO) and recommendations by the European Association of Nuclear Medicine (EANM/EARL) to measure inter-site variations. For harmonization, Gaussian filters with tuned full width at half maximum (FWHM) values were applied to images to minimize differences in SUVs between reference and images. Inter-site variation of SUVs was evaluated in both pre- and postharmonization situations. Test-retest analysis was also carried out to evaluate repeatability. SUVs from different scanners became significantly more consistent, and inter-site differences decreased for SUV mean , SUV max and SUV peak from 17.3, 20.7, and 15.5% to 4.8, 4.7, and 2.7%, respectively, by harmonization ( P values <0.05 for all). The values for contrast-to-noise ratio in the smallest lesion of the phantom verified preservation of image quality following harmonization (>2.8%). Harmonization significantly lowered variations in SUV measurements across different PET/CT scanners, improving reproducibility while preserving image quality.

Comprehensive analysis of lightning strike activity on the power line for grid connected solar power plant

Transmission lines of the grid-connected solar power plants are affected by lightning strikes. According to the data taken from the malfunction report of the solar power plant located in the Aegean Region of Turkey, the medium voltage switchgear was damaged due to overvoltage. The lightning impulse withstand voltage of these device is 170 kV. In order to examine the surge voltages, a model was created in the simulation program with the data received from the power plant. The surge voltages in the primary winding of the transformer by injecting lightning impulses into the transmission line were measured in the simulation. In the simulation program, three different configurations were made by changing the soil parameters, cable length, cable cross sectional area and lightning waveform. The lightning waveform is based on the International Electrotechnical Commission standard with number of 62305. It was indicated that lightning impulses in different waveforms headed for the lower grounding resistance (0.95 Ω), lower soil resistivity (11.04 Ω.m), larger cable cross sectional area (400 mm2) and longer cable (280 m). In addition, it was observed that the first positive stroke caused greater surge voltages than first negative stroke and negative subsequent stroke.

Lithium-Ion Battery Second Life: Cell Performance Assessment for Stationary Energy Storage Applications

Repurposing electric vehicle (EV) lithium-ion batteries (LIBs) for second-life applications in stationary energy storage has developed considerable interest. With EV sales continuously rising, some critical materials used in LIBs risk supply shortages, while the volume of spent batteries could begin to overwhelm the facilities capable of disposing or recycling them. EV batteries typically reach end-of-life (EOL) when the capacity fades by 20-30%; although this is EOL exclusively for automotive applications, there still remains plenty of residual energy storage available that can be further utilized for less demanding applications. If viable, this could have significant impact in satisfying economic and environmental concerns as the trend toward greener and more sustainable energy solutions gains momentum. Extending the lifespan of retired EV LIBs can potentially supplement and soften the demand for total product, relaxing the strain on newly manufactured product and changing the standard of practice in the value chain. This lifecycle expansion could also be beneficial with respect to environmental impact by reducing raw material extraction and processing, landfill disposal or recycling, and improving resource sustainability.Existing public work on the reuse of EV batteries has mostly been exploratory, including feasibility studies, techno-economic analyses, and promotional demonstrations. Although necessary as part of the framework to move forward, these investigations lack the data to demonstrate the reliability of EV batteries for second-life applications. The work presented herein utilizes the International Electrotechnical Commission (IEC) standard 62620:2014 to evaluate the compliance, in terms of both capability and longevity, of EOL EV cells for energy storage applications.Battery modules were obtained from consumer-utilized 2012 and 2014 Nissan Leafs and characterization tests were applied to determine the present state of health. Cells were electrically isolated and the IEC Standard’s electrical tests were applied using a de-rated capacity as the new nominal capacity, based on the characterization results. One of the seven IEC Standard tests included a 500-cycle endurance test in which a C/2 charge and discharge rate was applied. Electrochemical impedance spectroscopy was measured periodically throughout the endurance test. Results on the compliance of these cells for stationary energy storage applications will be presented and discussed.

Centralized Protection and Control System: Are We Ready for Deployment in the Chemical, Oil, and Gas Industry?

This article discusses the recent trends and customer experience with the deployment of centralized protection and control (CPC) systems mainly by utility segment customers and its feasibility in the chemical, oil, and gas (COG) segment. (See “Abbreviations Used in This Article” for a list of abbreviations used throughout.) CPC represents a new approach to protection and control in power distribution networks—centralizing all protection and control functionality in one single device on the substation level. Being International Electrotechnical Commission (IEC) 61850-compliant and ready for future upgrades with the evolving grid, it supports optimal asset management. To demonstrate the improved utilization of technologies for CPC systems, this article describes (i) a new centralized/hybrid protection and control (HPC) scheme for the medium-voltage/low-voltage (MV/LV) network, (ii) benefits to substantially improve the “ease of operation and maintenance” of industrial plants, and (iii) supplier and end customer perspective with the pros and cons of this new CPC system and its feasibility for deployment in COG industries.

Passive Intermodulation Measurement: Challenges and Solutions

In modern wireless communication systems, the signal-to-noise ratio (SNR) is one of the most important performance indicators. When the other radio frequency (RF) performance of the components is well designed, passive intermodulation (PIM) interference may become an important factor limiting the system’s SNR. Whether it is a base station, an indoor distributed antenna system, or a satellite system, there are stringent PIM level requirements to minimize interference and enhance network capacity in multicarrier networks. Especially for systems of high power and wide bandwidth such as 5G wireless communication, PIM interference is even more serious. Due to the complexity and uncertainty of PIM, measurement is the most important means to study and evaluate the PIM performance of wireless communication systems. In this review, the current main PIM measurement methods recommended by International Electrotechnical Commission (IEC) and other standard organizations are introduced, and several key challenges in PIM measurement and their solutions (including the design of PIM tester, the location of the PIM sources, the design of compact PIM anechoic chambers, and the evaluation methods of PIM anechoic chambers) are highlighted. These challenges are of great significance to solve PIM problems that may arise during device characterization and verification in real wireless communication systems.

A Fractal-Based Approach to Lightning Protection of Historical Buildings and Monuments: The Parthenon Case Study

A fractal-based approach to the lightning protection of historical buildings and monuments against direct lightning flashes is introduced. The proposed methodology is based on a stochastic lightning attachment model that considers physical criteria on downward and upward leaders’ inception and propagation. The model foresees multiple competing upward leaders incepting from vulnerable points of the monument under protection and considers the branching and tortuous behavior of the lightning attachment phenomenon. Applying the proposed methodology to the Parthenon has shown that the risk of direct lightning flashes per year that cause physical damage to the monument is not acceptable without an external lightning protection system (LPS); two different LPSs are evaluated in terms of lightning interception efficiency. Lightning risk assessment results are discussed and compared with those obtained by implementing the procedures of the International Electrotechnical Commission (IEC) 62305.

Особенности анализа риска возникновения пожара в электрических распределительных щитах

In Russia, a third of all fires annually occur from the electrical equipment. One of the first places in the fire statistics is occupied by the switchboards and their components. For the purpose to optimize the use of fire protection measures, it becomes quite obvious and appropriate to use the requirements of the technical regulations of the Eurasian Economic Union on a risk-oriented approach when developing methods for assessing and ensuring fire safety of the electrical products. For solving this problem, the publications of the International Electrotechnical Commission are focused on a qualitative analysis of the risk of a fire emergence, while in Russia a quantitative risk assessment in the electrical products is used by determining the likelihood of a fire emergence, and for an object — and damage from it. It is shown that for the switchboards it is advisable to combine qualitative and quantitative fire risk analyzes. For this, it is proposed, on the basis of a qualitative risk analysis, the provisions of which are presented in DS/IEC TR 63054:2017, to establish connections between the events that contribute to the fire emergence in the switchboards according to the electrical circuit, and taking into account the failure rates of the component elements in accordance with GOST 12.1.004—91 determine the probabilities of failure and ignition of the elements, as well as the resulting probability of a fire emergence from the switchboard. An example of the use of qualitative analysis for risk assessment is an experimental assessment of the possibility of emergence and propagation of combustion in a two-section switchboard, based on the results of which the practical recommendations are given. Practical implementation of the provisions set forth in the article will allow to justify the need for additional fire protection measures (modification of the product) or their sufficiency, and thereby reduce the number of fires from the switchgears.

128-Bit LEA Block Encryption Architecture to Improve the Security of IoT Systems with Limited Resources and Area

The LEA block encryption algorithm is an architecture suitable for IoT systems with limited resources and space. It was developed by the National Security Technology Research Institute in 2013 and established as an international standard for cryptography by the International Electrotechnical Commission in 2019, drawing much attention from developers. In this paper, the 128-bit LEA block encryption algorithm was light weighted and implemented in a hardware environment. All modules share and reuse registers and are designed and implemented in a bottom area through the resource sharing function. As a result of synthesis using Xilinx ISE 14.7 Virtex-5 as a design environment, the maximum frequency achieved 190.88 MHz and has a processing speed of up to 128 Mbps. Compared to the previously designed architecture, we present a bottom-level hardware design with a 128-bit LEA algorithm implemented with a 49.8% reduction in Flip-Flop, 18.8% reduction in LUTs, and 67.6% reduction in Slices.

Safety Integrity Evaluation of crude oil heater According to IEC 61508 Standard

the main object of this paper is to evaluate safety barriers intervening against overpressure implemented on a crude oil heater using layers of protection analysis approach suggested in IEC 61508 (International Electrotechnical Commission) Standard for the determination of safety requirements are illustrated. Accident scenarios are pre-identified using Hazard an Operability approach, Fault tree approach is required for an effective risk assessment process. In order to better appreciate accident scenarios, PHAST (Process Hazard Analysis Software Tool) is utilized to simulate them.

Environmental Stability Evaluation of Aluminium Doped Zinc Oxide (AZO) Transparent Electrodes Deposited at Low Temperature for Solar cells

The degradation of transparent electrodes’ electrical conductivity under environmental conditions is considered as a major failure mode for solar cells’ long-term efficiency. In this paper, AZO thin films were subjected to the International Electrotechnical Commission (IEC) 61646 test to examine their environmental stability and suitability as front electrodes for solar cells. To explore the interplay between AZO deposition parameters and environmental stability, AZO films were deposited by radio frequency magnetron sputtering at different parameters and without external heating. The conductivity stability evolution upon the testwas investigated via studying the AZO electrical, structural, and morphological characteristics at different deposition conditions. A direct dependence was identified between the samples’ conductivity degradation rates and the samples’ structural and morphological characteristics including grain size, grain boundary density, surface roughness, and compactness. The samples’ resistivity increases linearly over the test period due to both electron density and mobility degradations. Improved stability was observed for thicker AZO samples (360 nm) originating from enhanced grain size, surface profile, and compactness. These samplesmaintained solar cells' applicable sheet resistance of 21.24 Ω/sq (ρ=7.64×10-4 Ω.cm) following the test. The conducted aging studies demonstrated that manipulating the AZO films growth process via optimizing the deposition parameters is an effective pathway for low-temperature deposited electrodes with enhanced environmental stability