Engineering Reports

In this paper, a new structure of high voltage gain DC-DC boost converters is proposed for photovoltaic applications. The proposed converter has high voltage gain and low voltage stress on switches and diodes.

Activated carbon prepared from almond shells was successfully removed safranin dye from the aqueous solution. Six process factors were investigated. Initial dye concentration, adsorbent dosage, pH, and ultrasonic power were found to be the most significant factors influencing safranin adsorption capacity. A mathematical model was developed to describe parameter interactions.

This paper proposes an improved multilevel inverter, which can be well-applied in renewable–energy based microgrids to feed the AC loads. The proposed inverter profits from the following advantages: Requires only single DC input source. It can provide 7 or 9 voltage levels at the output. It offers triple/quadruple voltage boosting capability at 7/9-level version. It can supply any load type with variety of power factors. It resolves the inherent impulsive charging current issue of capacitors in switched-capacitor MLIs (SCMLIs) by adopting the soft-charging cells. It can naturally balance the voltage of capacitors, needless to auxiliary circuits or complicated control strategies. Also, the paper performs reliability analysis on the proposed inverter and compares its reliability on 7 and 9-level operation modes.

This study demonstrates a significant enhancement in a box-type solar cooker's performance using a hybrid nano-enhanced PCM with MWCNT and SiO₂ nanoparticles. The approach improved efficiency, reducing cooking time by half, highlighting its potential as a sustainable, cost-effective solution for solar cooking technology.

Numerical assessments and comparisons demonstrate that the stage-by-stage optimized TIDA+1 controller, despite its simple design, exhibits markedly superior performance under intricate working situations compared with traditional controllers of the same category, such as PID and FOPID. Consequently, it represents a viable choice for executing the LFC tasks in the MGs.

Leveraging VGG16, MobileNetV2, Xception, and ResNet, this study achieved 99% efficiency in early, non-invasive disease detection in plant leaves. The methodology integrates deep learning models, utilizing a comprehensive pipeline from data acquisition to performance assessment, incorporating user trust and feedback for future enhancements.

We develop an anonymous authentication scheme for smart cities based on physically unclonable function and user biometrics. This scheme is shown to be robust against active and passive attacks.

Modeling the dynamics of TB with reinfection and optimal interventions: A novel data-driven mathematical approach to disease mitigation.

Hierarchical population-based differential evolution (HPDE) with innovative diversity metrics demonstrates superior performance in optimizing parameters for various proton exchange membrane fuel cells (PEMFC). HPDE outperforms other advanced algorithms, delivering precise and efficient parameter extraction, as validated across multiple PEMFC models. The method enhances the design and control of PEMFCs, contributing to advancements in fuel cell technology.

We propose an integrated model based on spatio-temporal feature fusion for high-precision prediction of distributed photovoltaic power. The model combines CNN and LSTM networks, and introduces an attention mechanism to effectively capture spatio-temporal correlations, achieving more accurate predictions.

Integration of the micro S-CO₂ cycle with V18 MAN 51/60DF engines in powerships for waste heat recovery enhances energy efficiency and sustainability. The system utilizes 374.4 kW of waste heat, achieving 21.8% energy efficiency and 9.7% exergy efficiency, with a net work output of 54.11 kW. The CO₂ mass flow rate is 0.9988 kg/s, with 320.3 kW of heat transferred to seawater, representing a significant advancement in sustainable power generation.

The simulation of optimal logistics of the concreting work with the JIT concept. The examination of the logistics of the concrete construction work was carried out using a combination of monitoring, measurement, comparison, and modeling methods. In addition to obtaining real data on the mentioned logistics of concrete construction work, by applying the Just in Time method, as one of the methods of lean logistics, the optimal logistics of ready-mix concrete transport to construction sites was simulated. In order to reveal the most significant wastages during concrete construction work, the essential parameters of real logistics were compared with the parameters of simulated optimal logistics of ready-mix concrete transport.

A simulation-based framework for automating the design of an optimal configuration of renewable energy systems based on a reliable, cost effective, and sustainable system.

Friction stir extrusion is a solid-state recycling technique based on severe plastic deformation supported by frictional heat. The paper considers the macrostructural, microstructural, and mechanical properties of the products and investigates different tool, mold, and machine designs. The article reviews a variety of numerical models used in this field for temperature, strain, and stress distribution, and material flow. It scrutinizes the sustainability aspects of the process in comparison to other recycling techniques.

The optimized formulation, consisting of 5% nanoparticle content, 10% silane treatment, and a 20-minute silane dipping duration, demonstrated a 26.22% increase in flexural strength and a 33.15% improvement in hardness. This optimized composite formulation holds promise for use in biomedical applications requiring high mechanical strength and durability, such as in prosthetic materials and orthopedic implants, where enhanced flexural strength and hardness are critical for longevity and performance.

The research presents an enhanced lung cancer prediction model integrating AMSF-L1ELM with Primitive Generation with Collaborative Relationship Alignment and Feature Disentanglement Learning. The model improves test accuracy, precision, recall, F1-score, and ROC-AUC across multiple domains in complex medical imaging data.

The study introduces slag ash from fuel combustion as a sustainable alternative to bitumen in road construction, improving dynamic deformation by 104%, static deformation modulus by 51%, and elastic modulus by 89%. This approach enhances road quality while reducing environmental impact and production costs.

Procedure for deriving rainfall IDF curves for Babylon City in Iraq using IMD reduction formula.

This study employs a generalized reduced gradient (GRG) optimization to ascertain the most effective hybrid energy for water pumping system with time of use demand response integration. Findings prove that the integration Time of Use with hybrid mix of grid-biomass-DG-solar PV is suited for water pumping applications with cost-competitive value.