Elevate Hardcase,
2027
California Polytechnic State University, San Luis Obispo
Elevate Hardcase, Caleb J. Bailey, Colby M. Cordoba, Marissa Mccleod, Shaan Sandhu
Mechanical Engineering
The Elevate Hardcase project developed a portable mechanical elevation system that allows users to access rugged hard cases at a comfortable working height without needing a separate table or placing the case on uneven ground. The design focuses on improving ergonomics, portability, stability, and quick setup for users in field environments such as photography, hunting, and maintenance. Through customer research, concept development, prototyping, analysis, and testing, the final system was designed to support a loaded hard case, provide height adjustability, remain stable on uneven terrain, and be deployed by a single user in under five minutes. The final prototype demonstrates …
Design And Production Of A Carbon Fiber Longboard,
2027
University of Mississippi Main Campus
Design And Production Of A Carbon Fiber Longboard, John R. Beebe, Jacob Williams, Julia Stradinger, Vince Fitchtel, Jordan Cochran
Honors Theses
This thesis contains an overview of the design, prototyping, and manufacturing of a carbon fiber long board. The purpose of this capstone was to create a viable product for the real-world market and then determine how to manufacture it at scale with sustainable financial practices. In order to accomplish this task, engineering, accounting, and manufacturing challenges had to be overcome throughout all stages. The production process involved the carbon fiber layup, baking, water jet cutting, and assembly of the carbon fiber longboard. In order to optimize this process, continuous improvement and lean manufacturing problem solving techniques were applied. After a …
A Maximum Energy Release Rate Computational Framework For Fatigue Crack Trajectory And Life Prediction Under Mixed-Mode Proportional And Nonproportional Loading,
2027
The American University in Cairo AUC
A Maximum Energy Release Rate Computational Framework For Fatigue Crack Trajectory And Life Prediction Under Mixed-Mode Proportional And Nonproportional Loading, Nahla Helmy Matar
Theses and Dissertations
The problem of mixed-mode fatigue crack growth has been a persistent research challenge. The determination of fatigue crack propagation direction directly impacts the safety and integrity of components and structures, making it crucial in various industrial applications, including welded drilling pipes, aerospace, and automotive engineering. Unlike uniaxial loading, mixed-mode cracks tend to change direction frequently (kinking), and nonproportional loading adds to the complexity of the problem. This research aims to estimate the crack propagation direction and fatigue crack life in linear elastic materials subjected to mixed-mode (I+II) loading conditions under proportional or non-proportional cyclic loading. Numerical software was developed based …
Enhancing Shipboard Safety Management Under The Ism Code: An Innovative Risk Assessment Framework With A Stern Tube Case Study,
2026
Department of Marine Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
Enhancing Shipboard Safety Management Under The Ism Code: An Innovative Risk Assessment Framework With A Stern Tube Case Study, Pi-Yen Lin
Journal of Marine Science and Technology–Taiwan
The shipboard safety management system (SMS) is designed to enhance safe operations, risk management, and emergency response to improve overall ship safety and efficiency. This paper demonstrates the use of an engine room simulator (ERS) for collecting failure modes and applies it to a comprehensive failure analysis of the stern tube lubricating oil system. A new risk closeness coefficient method was developed, integrating expert background knowledge and weighted risk assessments. The analysis, based on multiple expert evaluations, covered five subsystems, eight main components, 23 failure modes, and 112 failure causes. This study presents 26 recommendations for maritime practitioners and onboard …
Port And Vessel Communication Traffic Intrusion Detection: A Variational Autoencoder‑Enhanced Multilayer Perceptron Approach,
2026
Department of Computer Science and Engineering, Tatung University, Taiwan
Port And Vessel Communication Traffic Intrusion Detection: A Variational Autoencoder‑Enhanced Multilayer Perceptron Approach, Chien-Lin Chiang, Hsien-Cheng Chou, Ming-Yuan Peng, Yi-Yuan Chiang, Yu-Shun Liu
Journal of Marine Science and Technology–Taiwan
Port and vessel networks increasingly operate on IP/Ethernet backbones with high‑noise, high‑dimensional traffic. We present a lightweight hybrid intrusion‑detection model that couples a variational autoencoder (VAE) with a multilayer perceptron (MLP) and augments training with a boundary‑oriented latent‑space mixup strategy. The VAE models the distribution of normal traffic and identifies anomalies through reconstruction errors. Subsequently, it generates robust latent vectors, enabling the MLP to perform highly accurate supervised classification. On the UNSW‑NB15 dataset, the proposed pipeline attains ≥97% accuracy and an outstanding recall of 99.56% in binary intrusion detection, and visualization of the latent space (PCA) together with reconstruction‑error analyses …
Sar Ship Detection Based On Shallow Feature Guidance,
2026
Dalian Maritime university
Sar Ship Detection Based On Shallow Feature Guidance, Chenxu Xia, Peng Chen, Ya Zhang, Ying Li
Journal of Marine Science and Technology–Taiwan
Maritime ship detection is of great significance for both military security and civilian applications. Synthetic Aperture Radar (SAR), with its all-weather and all-day imaging capability, plays a vital role in maritime surveillance. Nevertheless, SAR ship targets typically appear small in scale, embedded in complex backgrounds, blurred at boundaries, and easily confused with near-shore features, which pose substantial challenges for accurate detection. To address these issues, we propose a SAR ship detection network that integrates dual enhancements of small-object representation and edge information. The network introduces two key components: the Small Target Refine Pyramid (STRP) to strengthen shallow feature representation for …
Physics-Data-Hybrid Modeling And Control For Vtol Aircraft,
2026
Utah State University
Physics-Data-Hybrid Modeling And Control For Vtol Aircraft, Samantha Dawn Burton
All Graduate Theses and Dissertations, Fall 2023 to Present
Vertical takeoff and landing (VTOL) aircraft are hybrid aircraft having both a helicopter flight mode and a fixed-wing plane flight mode. The objective of this dissertation is to examine and evaluate a new approach, physics-data-hybrid (PDH), for VTOL aircraft modeling and control. The PDH approach combines traditional, physics-based methods (Newtonian mechanics) with data driven methods (a machine learning technique called a Koopman operator model) to create an efficient and accurate modeling and control framework—mitigating the disadvantages of the purely physics-based and purely data-driven methods. The PDH approach is used to model scenarios when the VTOL aircraft transitions between helicopter mode …
Power At Sea Develop Phase,
2026
California Polytechnic State University, San Luis Obispo
Power At Sea Develop Phase, Jake Lauer, Isabella Heinemann, Bailey Gargasz, Zachery Boyer
Mechanical Engineering
This project develops a renewable, wave-powered charging system designed to extend the mission duration of Autonomous Underwater Vehicles by eliminating the need for frequent manual battery replacement. Building upon a prior oscillating water column prototype from the CONCEPT phase, the team redesigned and tested an improved system capable of converting wave-induced air motion into electrical power using a Wells turbine. Key enhancements include doubling the column diameter to increase displaced air volume, integrating a flared inlet and bi-directional nozzle to improve airflow, and selecting corrosion-resistant materials suitable for long-term deployment in marine environments. Multiple prototypes were constructed and evaluated through …
An Integrated Review Of Maritime Emission Reduction Through Regulatory Operational Fuel And Technological Approaches,
2026
Maritime Upgrading Studies Institute, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandria, PO Box 1029, Egypt
An Integrated Review Of Maritime Emission Reduction Through Regulatory Operational Fuel And Technological Approaches, Ehab S. Elabd, Ahmed M. Shama
Blue Economy
The research endeavor at hand is basically meant to trace the most prominent regulatory, operational, fuel-related, and technological approaches employed for maritime emission reduction. From a quantitative perspective, the conducted review comprises four major categories and 80 research contributions. Operational optimization and efficiency strategies and alternative-fuel solutions take the largest shares of the investigations reviewed. Operational optimization and efficiency strategies comprise 29 studies (36.3%), while alternative-fuel solutions comprise 28 studies (35.0%). Comparably, port-related emissions and mitigation strategies include 15 studies (18.8%), whereas design optimization and technological innovations incorporate 8 studies (10.0%). Considering the fact that maritime transport is responsible for …
Estimation Of Unmeasurable External Disturbances Of A Dynamic Object Based On A Robust Adaptive Kalman Filter,
2026
Tashkent State Technical University named after Islam Karimov
Estimation Of Unmeasurable External Disturbances Of A Dynamic Object Based On A Robust Adaptive Kalman Filter, Bunyod Mamurjon Ugli Buronov
Technical science and innovation
This article considers the problem of directly estimating unmeasurable external disturbances acting on a dynamic object under the condition that the state vector of the object is available for measurement. In the considered case, the problem is reduced to the estimation of an unknown input of a dynamic system. It is shown that when the system state is measurable, both a direct inversion scheme based on the object’s dynamic equation and filtering methods that eliminate the need for coarse numerical differentiation can be applied. For slowly varying disturbances, a random walk model with a small process noise covariance is proposed, …
Effect Of Waste Cooking Oil And Tapioca Starch On Energy Content And Combustion Performance Of Coconut Shell-Rice Husk Briquettes,
2026
Politeknik Negeri Malang, East Java, Indonesia
Effect Of Waste Cooking Oil And Tapioca Starch On Energy Content And Combustion Performance Of Coconut Shell-Rice Husk Briquettes, Satworo Adiwidodo, Wirawan Wirawan, Kris Witono, Moh. Hartono, Asrori Asrori, Fauzan Baananto, Suliono Suliono, Syahrul Mubarok, Norhafana Binti Mohamed
Journal of Mechanical Engineering Science and Technology (JMEST)
Agricultural waste, such as coconut shells and rice husks, is widely utilized as solid fuel. Tapioca starch serves as the binder, while waste cooking oil (WCO) is used as an additive. Briquette performance is influenced by the type of biomass, binder, and additives used. However, the individual and interactive effects of WCO and tapioca starch on the performance of coconut shell-rice husk briquettes remain insufficiently established. This research focused on evaluating the effects of WCO and tapioca starch on calorific value (CV) and mass consumption rate. The briquettes' base composition consisted of 75% coconut shell charcoal and 25% rice husk …
Integrated Evaluation Of Rooftop Solar Power Generation System Performance In Tropical Climate Using Geometric, Electrical, And Environmental Parameters,
2026
Universitas Muhammadiyah Malang, East Java, Indonesia
Integrated Evaluation Of Rooftop Solar Power Generation System Performance In Tropical Climate Using Geometric, Electrical, And Environmental Parameters, Ayu N. Sari, Ilham R. Fadhlurrahman, Surya Pinanggi, Ermanu A. Hakim, Haneef Nouval Alannibras Humaidi
Journal of Mechanical Engineering Science and Technology (JMEST)
The increasing demand for electrical energy in the commercial sector has encouraged the utilization of rooftop Photovoltaic (PV) systems as a sustainable energy solution in tropical climate regions. However, rooftop PV performance is influenced by the interaction of geometric, electrical, and environmental parameters, which may affect system efficiency. This study analyzes the performance of a rooftop PV system under tropical climate conditions using PVsyst simulation and actual monitoring data collected over 30 days. The research was conducted on an on-grid rooftop PV system with a capacity of approximately 135 kWp, consisting of 217 photovoltaic modules and three inverters with a …
Automatic +1 Diffraction Order Detection In Off-Axis Digital Holographic Interferometry Using An Energy-Based Spectral Model,
2026
Tashkent State Technical University named after Islam Karimov
Automatic +1 Diffraction Order Detection In Off-Axis Digital Holographic Interferometry Using An Energy-Based Spectral Model, Nigora Alimdjanovna Akbarova, Dilnoza Ibrokhim Kizi Abdulkhayeva
Technical science and innovation
This paper presents an automatic +1 diffraction order detection algorithm for off-axis digital holographic interferometry (DHI Manual spectral filtering is widely used to find out the desired order of diffraction in the Fourier domain in conventional digital holographic reconstruction. Nevertheless, this approach is very subjective and must be subject to expert guidance, thus, the reconstruction reproducibility and stability can often deteriorate. To address these limitations, this designed scheme constructs a spectral model utilizing energy-maximization as well as adaptive DC suppression and dynamic filter radius estimates. The algorithm itself can automatically observe the distribution of energy in the hologram spectrum and …
Evaluation Of The Metrological Characteristics Of An Ultrasonic Flowmeter For Water Resources,
2026
Bukhara State Technical University, Bukhara city
Evaluation Of The Metrological Characteristics Of An Ultrasonic Flowmeter For Water Resources, Makhsud Idrisovich Makhmudov, Uktam Farkhodovich Mamirov, Siroj Sobirovich Nurov
Technical science and innovation
This paper presents the results of evaluating the metrological characteristics of a developed ultrasonic flowmeter intended for measuring water flow in open channels. The study analyzes the main sources of measurement errors and classifies them into methodological, instrumental, additional, systematic, and random components. Experimental investigations were carried out to estimate the random and systematic errors under steady-state flow conditions. Using the least-squares method, the systematic error was separated into additive and multiplicative components, providing a basis for calibration and correction of the measurement results. The reliability of the developed measuring instrument was evaluated using the failure rate method based on …
Evaluation Of Level Measurement Uncertainty For Three Types Of Laser Level Meters Using The Gum Methodology: Calculated Uncertainty Budgets, Uncertainty Profile, And Hardware Component Requirements,
2026
Tashkent State Technical University named after Islam Karimov
Evaluation Of Level Measurement Uncertainty For Three Types Of Laser Level Meters Using The Gum Methodology: Calculated Uncertainty Budgets, Uncertainty Profile, And Hardware Component Requirements, Lazizbek Furkatjanovich Saidoripov, Barat Makhmudovich Akhmedov
Technical science and innovation
A methodology is presented for evaluating the uncertainty of liquid petroleum product level measurements using laser level meters based on different measurands’ informative parameters: propagation time, phase difference, and image coordinates. Based on analytical expressions for error components and a traceability chain to the national length standard, calculated uncertainty budgets are developed in accordance with JCGM 100 for time-of-flight, phase-based, and laser–television level meters. Under the assumed input conditions, the expanded uncertainties (k = 2) are 1.66, 0.73, and 1.02 mm, respectively. For the laser–television level meter budget, the Gaussian approximation is verified using the Monte Carlo method (JCGM 101): …
On The Issue Of Developing Diagnostic Systems In Case Of Incompleteness Of Data,
2026
Tashkent State Technical University named after Islam Karimov
On The Issue Of Developing Diagnostic Systems In Case Of Incompleteness Of Data, Amanulla Azizovich Kadirov, Shohijahon Ulugbek Ugli Akhmetov
Technical science and innovation
This paper addresses the problem of developing diagnostic systems for industrial equipment when initial failure data is incomplete or unavailable. An approach is proposed for generating synthetic data based on a pseudo-failure generator that implements stochastic modeling of degradation processes. A formalized algorithm for generating time-to-failure samples has been developed, including stages of failure physics analysis, statistical model selection, distribution parameterization, and simulation of operating conditions. The Weibull distribution is used as the base model, allowing for the consideration of various stages of the equipment’s life cycle. Additionally, factors that bring the synthetic data closer to real operating conditions are …
Analysis And Study Of The Content Of Chloride Salts In Oil,
2026
Tashkent State Technical University named after Islam Karimov
Analysis And Study Of The Content Of Chloride Salts In Oil, Natalia Evgenievna Sheina, Muborak Akramovna Mirshomilova
Technical science and innovation
The article addresses the critical issue of crude oil quality control, specifically focusing on the determination of chloride salts (sodium, calcium, and magnesium), which exert a destructive impact on processing equipment. The paper provides a detailed analysis of the adverse effects of salts, which lead to severe equipment corrosion, scaling, and a reduced yield of valuable oil fractions. The chemical principles and specific applications of two standardized methods for analyzing aqueous extracts according to GOST 21534-2021 and ASTM D3230 are described: indicator (argentometric and mercurimetric) and potentiometric titration. The experimental section presents the results of a comparative analysis of crude …
Analysis And Optimization Of Intelligent Control Of The Drying Process Under Uncertainty,
2026
Tashkent State Technical University named after Islam Karimov
Analysis And Optimization Of Intelligent Control Of The Drying Process Under Uncertainty, Azizbek Nodirbekovich Yusupbekov, Marufjon Kobuljonovich Shodiev, Khusniddin Mamarasul Ugli Esonov
Technical science and innovation
This section proposes a multi-criteria Pareto-optimization algorithm, integrated with Herbert Simon's four-stage decision-making scheme (Intelligence–Design–Choice–Implementation) and an ANFIS-based adaptive controller, for simultaneously optimizing the mutually conflicting quality, energy, and time criteria of the wheat-drying process. The algorithm for constructing the set of Pareto-optimal solutions and selecting the compromise solution closest to the ideal point is presented step by step. The implementation of the ANFIS controller in the MATLAB/Simulink environment is comprehensively verified through a simulation block diagram, the Rule Viewer, the Surface Viewer, the training error-function graph, the RMSE convergence graph, and a learning-curve analysis. Training was carried out on …
Mathematical Modelling Of Nitrification And Denitrification Processes Based On Neuro-Fuzzy Bioreactor Models,
2026
Scientific Innovation Center for Information and Communication Technologies (SIC ICT) at the Tashkent University of Information Technologies, Tashkent city
Mathematical Modelling Of Nitrification And Denitrification Processes Based On Neuro-Fuzzy Bioreactor Models, Mirkhalil Agzamovich Ismailov, Boburbek Zokirjon Ugli Mannobjonov
Technical science and innovation
This paper presents the development and investigation of hybrid neural network and fuzzy models for the mathematical modelling of nitrification and denitrification processes in a biological wastewater treatment bioreactor. A comprehensive approach is proposed, integrating a mechanistic model of the ASM1/ASM2d type with neural networks (LSTM and Gaussian Process Regression), as well as a fuzzy control system based on an extended set of expert rules. A digital twin of the bioreactor was developed to allow for the prediction of the dynamic behavior of key parameters such as NH₄⁺, NO₃⁻, dissolved oxygen, etc. within a prediction range of 1 to 12 …
Development Of An Experimental Stand For The Study Of The Directions Of Movement And Velocity Of Air Flows In The Pneumatic Channel Of The Final Aspiration Of The Muz-16 Air Sieve Separator,
2026
Educational Institution "Belarusian State Agrarian Technical University"
Development Of An Experimental Stand For The Study Of The Directions Of Movement And Velocity Of Air Flows In The Pneumatic Channel Of The Final Aspiration Of The Muz-16 Air Sieve Separator, Hanna Borisovna Torgan, Zulfiya Kakhramonovna Ergasheva
Technical science and innovation
The article presents the results of experimental studies on the rheological properties of pasta dough obtained from various types of wheat flour (bakery highest grade, as well as durum varieties of Belarusian selection). The regularities of changes in the yield shear stress, plastic viscosity, and shear rate of the semi-finished product were studied depending on the key technological factors of extrusion: moisture content (0.28–0.335 kg/kg), temperature (25–55 °C), and discharge pressure (up to 88 · 10-5 Pa). The operating principle and design features of the modernized pressing unit and die using special converging-diverging (confuser-diffuser) inserts (according to the patents …
