Algorithm design

This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.

13p viengfa 28-10-2024 1 1   Download

The paper will present the design of techniques for building an application for testing and evaluating knowledge in the Data Structures and Algorithms course. This application will be a useful tool for both instructors and students, thereby enhancing the quality of teaching and learning in Information Technology-related subjects.

10p viling 11-10-2024 1 0   Download

This paper aims to propose a design of a type-2 fuzzy cerebellar model articulation controller for uncertain nonlinear systems, which achieves high stability and accuracy for controlling magnetic levitation systems. The proposed controller is a combination of a type 2 fuzzy logic system and a cerebellar model articulation controller.

10p viling 11-10-2024 2 0   Download

In this paper, a membership function of the form S-function is applied to improve the quality of extracted linguistic summaries. Besides, the applied algorithm is parallelized to reduce running time. The experimental results with the creep dataset have demonstrated the effectiveness of the proposed method.

12p vibecca 01-10-2024 2 1   Download

The paper first analyzes the two algorithms LPC and MELP and implements them on the current popular hardware technologies ARM and DSP to give an evaluation direction when choosing technology to serve the design of vocoders.

10p viyoko 01-10-2024 3 1   Download

This study analyzes and optimizes the structural design of three-dimensional (3D) reinforced concrete frame structures to minimize the amount of two main materials, including concrete and steel reinforcement, used in reinforced concrete frames.

16p viyoko 01-10-2024 3 0   Download

Designing cantilever retaining walls is an important task in various construction projects. The study "Optimizing cantilever retaining wall design using feasibility rule-based evolutionary algorithm developed with Visual C# .NET" aims at constructing an evolutionary-algorithm-based cantilever retaining wall design approach. Differential Evolution (DE) and the feasibility rule-based constraint-handling (FRBCH) method are integrated to achieve the research objective. A DE based software program incorporating FRBCH has been developed with Visual C# .NET to facilitate its implementation.

6p xuanphongdacy09 29-09-2024 2 1   Download

In this paper, an improved version of Differential Evolution algorithm, called iDE, is introduced to solve design optimization problems of composite laminated beams. The beams used in this research are Timoshenko beam models computed based on analytical formula.

11p vifilm 24-09-2024 8 1   Download

The article develops a novel framework for Multidisciplinary Design Optimization of aircraft wing. Practically, the study implements a high-fidelity fluid/structure analyses and accurate optimization codes to obtain the wing with best performance.

14p vifilm 24-09-2024 1 1   Download

In this study, the differential evolution algorithm is used for solving the optimum design problem of composite cellular beams. The objective function is the minimum weight of cellular beam while the design constraints include satisfying the ultimate limit states, the serviceability limit states and the geometric limitations.

11p viyoko 24-09-2024 2 1   Download

Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.

12p vifaye 20-09-2024 2 1   Download

This study uses densified mixture design algorithm (DMDA) to design the mixture proportions green mortars incorporating fly ash and ground granulated blast furnace slag (GGBFS). Three green mortar mixtures with various paste contents were designed using the DMDA method while a control cement-based mortar mixture was designed using the conventional method for comparison.

13p vifaye 20-09-2024 2 1   Download

In this article, a Python-programmed advanced design paradigm is firstly introduced to topology and size optimization of the X-bracing system of nonlinear inelastic space steel frames. For that purpose, an advanced analysis method considering both geometric and material nonlinearities is utilized as an effective finite element analysis (FEA) solver.

13p vifaye 20-09-2024 2 1   Download

In this research paper, an adaptive sliding controller designed to enhance seismic response mitigation in structural systems with prescribed performance is presented. Through comprehensive theoretical analysis and simulation studies, the efficiency of the performance function has been simulated for a one-degree-of-freedom structure.

5p phuong798 26-12-2023 4 3   Download

The design proposed in this thesis aims to reduce the distortion in Class-D Amplifier output at the cost of increased complexity in the implementation. The thesis is focussed on the DSP components of the unique design. State-ofthe-art FPGAs have been used as the implementation platform for these systems due to advantages such as abundant logic resources, ease of programming and re-configurability. The results demonstrate advantages of SWL processing systems in terms of efficient hardware utilization.

130p runthenight07 01-03-2023 7 3   Download

Model Predictive Control (MPC) refers to a class of algorithms that optimize the future behavior of the plant subject to operational constraints. The merits of the class algorithms include its ability to handle imposed hard constraints on the system and perform on-line optimization. This thesis investigates design and implementation of continuous time model predictive control using Laguerre polynomials and extends the design approaches proposed in to include intermittent predictive control, as well as to include the case of the nonlinear predictive control.

162p runthenight07 01-03-2023 9 4   Download

The main focus of this thesis is on the application of a model predictive control (MPC) method to devise an ABS for a BBW vehicle. Unlike the traditional ABS control algorithms which are based on a trial and error method, the MPC based ABS algorithm aims to utilizes the behaviour of the model to optimize the wheel slip dynamics subject to system constraints. Performance of the proposed wheel slip controller is validated through Software-in-the-Loop (SiL) and Hardware-inthe-Loop (HiL) simulation.

136p runthenight07 01-03-2023 7 3   Download

The study "Multi-objective solar building envelope design optimization" includes four main objectives: 1 - To explore the components of a building envelope design optimization framework that would be developed for the conceptual building design phase; 2 - To establish an optimization process for different BIPV application types; 3 - To investigate the optimization algorithms and methods that could be used to optimize building envelope design for BIPV; 4 - To develop and validate an optimization framework to integrate BIPV into the building structure.

158p runthenight04 02-02-2023 5 2   Download

The research has designed a novel active truck seat suspension system for a further study of active vibration control. A 5-degree-of-freedom driver and seating suspension system model for active vibration control has been developed. A novel fast system parameter identification method from vibration measurement data has been proposed for the seat-occupant system based on the multi-objective Genetic Algorithm optimization (GA).

206p runthenight04 02-02-2023 10 5   Download

The thesis " A Study of Vibration Control of Truck Seat Suspension System" has designed a novel active truck seat suspension system for a further study of active vibration control. A 5-degree-of-freedom driver and seating suspension system model for active vibration control has been developed. A novel fast system parameter identification method from vibration measurement data has been proposed for the seat-occupant system based on the multi-objective Genetic Algorithm optimization (GA).

206p runordie3 06-07-2022 18 4   Download