Engineering Reports

• In this paper, the slime mold algorithm (SMA) and genetic algorithm (GA) as metaheuristic algorithms are combined to create a novel hybrid intrusion detection (ID) method considering feature selection for classification problems.
• The effectiveness of this suggested approach is also evaluated in comparison to other well-known methods like GA, PSO, GOA, TLBO, and SSA.

An analytical method using direction and distance coefficients (C_dir, C_dis) enables accurate and time-efficient calculation of artillery firing data without automated systems. This approach strengthens NATO's PACE framework by enhancing operational resilience in degraded environments.

This study optimizes WEDM parameters for Inconel 800 using Particle Swarm Optimization (PSO) to improve material removal rate, surface finish, and cost-efficiency. The PSO model achieves significant improvements with under 1% error, showcasing its potential for optimizing machining processes in advanced manufacturing.

Framework for analyzing the relationship between computational thinking and academic performance across instructional modalities in pre-university education. The process involves data collection, identification of performance patterns through regression models, statistical comparisons across modalities, and determination of key demographic and academic predictors.

Orthogonal Multi-swarm Greedy Selection Sine Cosine Algorithm (OMGSCA) effectively optimizes FACTS placement and sizing in wind-integrated power systems, reducing operational costs and power losses while enhancing grid stability. Tested on the IEEE 30-bus system, OMGSCA outperforms traditional methods, demonstrating superior exploration, exploitation, and convergence in uncertain loading scenarios.

This study introduces a novel cascade FOPI-TIDDN controller optimized by the Crow Search algorithm, integrated with renewable solar thermal systems and HVDC tie-lines in a two-area power system. The approach enhances automatic generation control, demonstrating superior performance in settling time, overshoot, and system dynamics under various solar insolation patterns.

This paper presents a novel Random Walk-premised GOOSE (IGOOSE) search algorithm for solving engineering structural design problems. In the IGOOSE algorithm, each solution represented as a potential solution to an optimization search problem behaves akin to a random walker navigating through a solution space. This algorithm leverages the inherent balance between exploration and exploitation by integrating random walk behavior with local search strategies.

The research focus of this paper is to evaluate the ability of college counselors by using the competency model. A questionnaire was designed to survey and test the questionnaires. A competency model of college counselors was established and applied to the ability training of counselors. The evaluation results of counselors' ability before and after the training were compared. The research results showed that the counselor ability training oriented by the model can effectively improve the competency traits of counselors and can be applied to the management of college counselors.

Research on dynamic ship detection methods in complex marine environment.

Our manuscript focuses on the correlation between nanohardness, microhardness, and macroscopic tensile strength—an area of increasing industrial demand, especially considering advent to miniaturization of all electronic components and non-destructive testing. The material selected for this study stems from the microelectronic industry's pursuit of lead-free solder alternatives to mitigate health and environmental concerns associated with materials like SnPb. Tin-bismuth solder, extensively investigated for various properties, provides a reliable dataset for establishing correlation coefficients. Our experimental data, consistent with existing literature, instills confidence in applying the Tabor factor (constraint factor) and C₁ coefficient to near-eutectic SnBi. Notably, our research pioneers a systematic exploration of nanohardness-to-strength correlation across composition, crystallinity, microstructure, strengthening mechanisms, and mechanical/heat treatment. This comprehensive approach, as supported by an extensive literature search. The minimal material requirements for nanoindentation or microindentation compared to bulk tensile tests position our contribution as exceptional, particularly in the context of scale-up considerations for synthesized materials, extending the impact beyond traditionally manufactured metals and alloys. This contribution holds particular importance in the context of preventive maintenance, where non-destructive testing is pivotal for timely maintenance to avoid mechanical failure. The submitted manuscript significantly advances the field of materials science and engineering by addressing this crucial aspect: cost-effective and non-destructive methods for forecasting ultimate tensile strength from nanohardness measurements.

The service provision method is introduced based on community detection in the SIoT environment. Using a community detection algorithm, the IoT network is divided into smaller communities. Then, the proposed method searches for the services users request within the detected communities, selects and combines these, and runs on an application.

MaOAOA introduces an innovative many-objective optimization framework combining an Information Feedback Mechanism, reference point-based selection, and niche preservation strategies. Its effectiveness surpasses leading algorithms in convergence, diversity, and computational efficiency across benchmark and real-world engineering problems, establishing it as a robust solution for high-dimensional optimization challenges.

This paper explores the design and implementation of chatbots using natural language processing and machine learning. These chatbots can automate tasks like publishing learning materials, answering student questions, and collecting data, reducing teachers' workloads and enhancing student engagement and learning experiences.

An electrochemical/thermodynamic analytical model for hard-pack lithium-ion batteries is proposed. The highly nonlinear dynamic model is discretized into a series of static problems, which are solved using the Levenberg-Marquardt algorithm. The efficient and compact MATLAB code is provided as an instructional tool for engineering education.

This research introduces an English corpus-based machine translation algorithm that leverages knowledge distillation from large language model, with the goal of enhancing translation quality and reducing the computational demands of the model.

The article describes the design and manufacturing process of a novel pediatric high-fidelity pathological mannequin for clinical training on the difficult airway management when using a fiberscope or performing a tracheotomy are the only two viable options. The mannequin has been developed from the CT scans of a 30-month-old polysindromic patient thanks to the collaboration between the Department of Industrial Engineering (University of Florence) and Meyer's Children Hospital (Florence) within the joint laboratory T3ddy.

This paper presents a numerical analysis of the refractive index in optical fibers for the miniaturized GRIN fiber probe and examines its impact on the focusing characteristics in detail. The factors affecting the focusing characteristics of the probes are analyzed by comparing them simultaneously, in order to provide a theoretical foundation for optimal design and characteristic evaluation when developing such probes.

At present, the management and utilization of teaching resources in higher education is characterized by problems, such as single function, simple structure, poor sharing, and weak management capacity. Based on this, this study proposes a multimedia information processing technique based on computer technology. The system utilizes Java programming language, Springboot framework, Servlet and other technologies to convert the data information through MySQL database. The main modules are student module, teacher module and administrator module. The established digital teaching resource management system is stable, simple to operate, clear interface and can meet the teaching needs of colleges and universities. The system is developed and utilized to maximize the sharing and integration of university teaching resources. This not only puts an innovative approach to teaching and learning, but also has very important practical implications.

Combined with software ANSYS and MATLAB, a visualization teaching approach is developed for mechanical analysis in civil engineering structures based on the proposed deformation decomposition method.