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A Review on Variation Modeling of Aircraft Assembly
Full text linkAbstract: Purpose; The purpose of this paper is to provide a state-of-art review on variation modeling and propagation in aircraft assembly based on process-oriented strategy. And the main focus is on classifying and delineating different approaches, methods, and techniques with critical appraisals of their theories, applications, and limitations, based on which future research directions and corresponding methodologies are proposed.
Design/methodology/approach; To facilitate understanding of the background, this paper starts with a brief description of aircraft assembly. Afterwards, this paper presents a comprehensive review of practical solutions in aircraft variation modeling. Their characteristics are summarized, which serves as a basis for the discussion of deviation control strategies. Thereafter, the possible trends are discussed to facilitate assembly quality control in future research
MRAC with SMC Applied to Lateral Control of a Fixed-Wing MAV
Full text linkAbstract: This paper presents a PD control law with adaptive gains with the MIT (Massachusetts Institute Technology) rule with different sliding modes; that is, the MIT rule has been designed with is known in the literature with first order sliding mode, second order sliding mode and high order sliding mode (HOSM) to obtain a better gain scheduling taking advantage the sliding modes techniques-the PD control law with adaptive gains that is designed for the lateral dynamics of a fixed-wing MAV. To apply the methodology of the model reference adaptive control (MRAC), sometimes called model reference adaptive system (MRAS), to the adaptive gains of the PD control, a sliding manifold is proposed considering the output of the lateral dynamics and with the output of the reference model
Using Point of Common Coupling (PCC) for Power Shaving in Grid Connected Hybridized Network
Full text linkA network that connects all components together is referred to as a grid. A study has been conducted over hybrid system which is a self-sustainable grid. The hybrid system is connected with the grid at Point of Common Coupling (PCC). The aim of this paper is to focus on the behavior of different intermittent energy sources, which are complementary to each other or not. For this purpose, research papers related to different intermittent energy sources are considered, and the behavior of renewable sources in different regions are discussed. Integration of solar, wind and battery sources to main grid, and a suitable control system for the PCC is presented that provides uninterrupted power flow from the hybrid system to load and the main power grid. The current and voltage regulator on PCC are optimized by Particle swarm optimization (PSO) algorithm. The hybrid system in this paper contains multiple power generator sources that include photovoltaic cells (PV), wind turbine and battery. Negative impact on main power grid by changing power through PCC are also examined
Computer-Vision Unmanned Aerial Vehicle Detection System Using YOLOv8 Architectures
Full text linkAbstract: This work aims to test the performance of the you only look once version 8 (YOLOv8) model for the problem of drone detection. Drones are very slightly regulated and standards need to be established. With a robust system for detecting drones the possibilities for regulating their usage are becoming realistic. Five different sizes of the model were tested to determine the best architecture size for this problem. The results indicate high performance across all models and that each model is to be used for a specific case. Smaller models are suited for lightweight system approaches where some false identification is tolerable, while the largest models are to be used with stationary systems that require the best precision
Enhancing Nighttime Power Generation: A Bionic Flower-Inspired Thermoelectric System with Photothermal Absorption and Radiative Cooling
Full text linkThe combination of solar energy and radiative cooling through thermoelectric generators (TEGs) offers a promising approach for sustainable power generation. However, current thermoelectric systems that integrate solar energy and radiative cooling still face the challenge of insufficient nighttime power generation capacity. This study proposes a thermoelectric power generation system featuring a heat storage structure inspired by bionic flowers, which utilizes residual heat stored during the daytime to supply heat to the hot end of TEGs at night, thereby increasing the temperature difference at night. A numerical model was developed, and the temperature field and phase change characteristics within the heat storage structure were investigated through finite element simulation. The thermoelectric system with a heat storage structure maintains a higher nighttime voltage than the one without it. After 12 AM, the system without a heat storage structure can only sustain an output voltage of approximately 18 mV. In contrast, the system with a heat storage structure can achieve a voltage output of 42.57 mV. Even four hours later, it retained a 6.64 mV advantage. The results demonstrate that the heat storage structure significantly enhances the power generation performance at night. This research provides a potential solution to effectively mitigate the issue of insufficient nighttime power generation capacity in thermoelectric power generation systems
AI and Quantum Computing for Advanced Materials Design
Full text linkThe AI-driven inverse design paradigm is fundamentally transforming materials discovery research by enabling the computational exploration of novel materials with predefined target properties. This review comprehensively synthesizes recent progress in applying AI methodologies, such as generative models, reinforcement learning, and diffusion models, to diverse material classes including metals, polymers, and proteins. It particularly highlights key advancements, such as the AI-guided discovery of high-entropy alloys with superior mechanical properties and the de novo design of functional polymers and protein-based biomaterials. Furthermore, major remaining challenges are discussed, including the computational-to-experimental validation gap, data scarcity, and the need for physically constrained models. Furthermore, this review explores the emerging frontier of Quantum Machine Learning (QML), which holds the promise of overcoming the limitations of classical computing for particularly complex problems in materials simulation. Finally, the integration of these methodologies into fully autonomous laboratories for closed-loop design, synthesis, and characterization is presented as a transformative route to accelerate the materials discovery cycle.
Modern Cybersecurity Tools: A Comprehensive Technical and Academic Study to Classify and Analyze
Full text linkThe process of securing our digital assets—such as connections, systems, programs, and networks—from any potential issues is referred to as cybersecurity. The goal is to safeguard information in order to maintain its confidentiality, accuracy, and availability when it is needed. In order to do this, it is necessary to safeguard computers and networks from a variety of threats, including but not limited to malicious software and unauthorized intrusions. The purpose of this research is to investigate and classify the most recent cybersecurity technologies from an all-encompassing, academic, and technological perspective, with a particular focus on the following four key dimensions: tools for network analysis, application security, cloud security, and digital incident management systems. As the rate of digital transformation accelerates and a greater number of people rely on cloud systems, we are in need of more advanced and intelligent technologies for the purpose of identifying potential dangers, monitoring traffic, and detecting breaches at an earlier stage. This study employs a descriptive-analytical methodology that integrates technical evaluations of widely used tools, including Wireshark, Nmap, Burp Suite, Snort, Prisma Cloud, and TheHive, with an academic comparison of findings from various prior studies conducted by organizations such as NIST, ENISA, and OWASP. The research further analyzes technical performance parameters (efficiency, accuracy, reaction time) and reliability indicators (resilience, integration, scalability) across various operational contexts. The findings demonstrate that the amalgamation of cloud tools and network analysis tools attains the furthest levels of holistic security, particularly when artificial intelligence is integrated into the predictive monitoring layers. The report also suggests using hybrid security architectures that can learn on their own and adapt to new threats in real time. A descriptive-analytical methodology was used, underpinned by a literature analysis of studies published from 2018 to 2025. The findings indicated that the amalgamation of network and application security solutions is the primary protection against advanced threats, whilst cloud security and incident reporting tools augment reaction velocity and operational resilience. The study ends with suggestions on how to use artificial intelligence in security monitoring systems to make self-defense and predictive protection more effective
Numerical Simulation of the Multi-Roller Skew Tandem Rolling of Unequal Wall Thickness Hollow Stepped Shafts
Full text linkThis paper proposes a multi-roll skew rolling forming process to address the slow forming speed of large-section shrinkage for aviation turbine shafts. Using Simufact Forming software, simulations were conducted on the GH4169 turbine shaft blank, analyzing the variations in stress, strain, and temperature fields during the forming process of a hollow shaft component with an initial wall thickness of 6mm. Additionally, we further explored the intrinsic relationship between the initial wall thickness and the depth of the concave center at the end of the workpiece. The results indicate that after multi-field coupling effects, the metal deformation of the workpiece gradually accumulates along the axial direction, reaching a peak after achieving the maximum reduction, while displaying a trend of decreasing from the outside to the inside. Additionally, there is a positive correlation between the depth of the concave center at the end of the workpiece and the initial wall thickness; as the amount of metal involved in the deformation increases, the depth of the concave center also intensifies. These findings provide an important theoretical basis for achieving flexible rolling formation of turbine shafts
Effective Technologies for Finishing and Cleaning Processing: Innovations Based on Screw Rotors
Full text linkThe results of many years of scientific research in the development of machines, installations, and devices for finishing and cleaning processing of machine parts are presented. Typical diagrams of machines based on screw rotors of classes I-IV are included, along with the types of finishing and cleaning operations performed by screw rotors, requirements for the parts being processed, the processing environments, and the composition of solutions used in the finishing and cleaning of components. Additionally, the methodology and calculations for a continuous operation setup designed for finishing and cleaning parts with specified productivity are demonstrated
Path Following With a Fixed-Wing UAV
Full text linkThis work presents four control laws applied to path following with a fixed-wing unmanned aerial vehicle, and such control laws are compared to know which of them achieved the control objective with a minor error and control effort. The control laws to compare are Proportional-derivative, Sliding Mode Control (SMC), Nested Saturations, and Fuzzy Logic. The results are obtained after several simulations using the Matlab-Simulink software