Optimal performance

In this study, the Quantum-PSO (QPSO) method is proposed to enhance the global search performance and convergence ability of PSO by incorporating concepts from quantum mechanics. The QPSO method was tested alongside Binary PSO and PSO on the same grid model to compare these methods.

7p vijiraiya 19-05-2025 2 1   Download

Self-healing vulcanized natural rubber (V-NR) was prepared with MgO/ZnO as a binary activator system in the study. Standard Vietnam Rubber Grade 3L (SVR3L) was used as NR source. The SVR3L was vulcanized with ZnO, MgO/ZnO, or MgO as activators and other vulcanizing reagents.

9p visarada 28-04-2025 3 1   Download

In this study, we utilized the YOLO (You Only Look Once) model to evaluate the performance of real-time vehicle detection and classification. Additionally, we adjusted the learning rate parameter to achieve optimal performance.

9p vimaito 11-04-2025 0 0   Download

Artificial intelligence is gradually emerging as a method for optimizing various tasks, offering cost-saving and highly efficient solutions. Nowadays, Al is used as a general term for diverse tasks performed by computers. Fields like machine learning, deep learning, and data science, among others within this scope, are considered part of Al as long as they exhibit the characteristics of artificial intelligence.

12p viuzumaki 28-03-2025 5 1   Download

This paper presents the development and performance evaluation of a novel micro LED display achieved through innovative planarization and electrodeless shielding techniques. The study focuses on achieving uniform forward voltages across the entire display panel, ensuring consistent performance and optimal light output.

6p viyamanaka 06-02-2025 7 1   Download

This paper presents a comprehensive investigation into the optimization of exciplex emission in organic light-emitting diodes (OLEDs). Through a systematic exploration of various combinations of hole-transporting materials (HTMs) and electron-transporting materials (ETMs), we elucidate critical factors influencing exciplex formation and its impact on OLED performance.

5p viyamanaka 06-02-2025 4 1   Download

This paper presents an analysis of the urban context of Ho Chi Minh City, addressing factors such as population distribution, land use, travel behavior, and the current state of transport infrastructure, to propose a BRT model optimized for the city’s specific conditions.

11p viyamanaka 06-02-2025 8 2   Download

This paper proposes regression models to investigate the impact of ESG scores and other factors on foreign ownership in Vietnamese listed firms. ESG scores, as a valuable tool for measuring a firm's environmental, social, and governance performance, provide foreign investors with insights into investment risks and potential, enabling them to determine optimal ownership levels for maximising returns.

13p tuetuebinhan000 23-01-2025 6 2   Download

In this research, first-principle calculations have been performed to study the geometry structure and electronic properties of ZnO. All possible exchange-correlation energy functionals were used to perform geometry optimization of ZnO in order to find the efficient calculation conditions.

10p vibenya 31-12-2024 2 2   Download

Consolidation of applications in cloud computing environments presents a significant opportunity for energy optimization. As a first step toward enabling energy efficient consolidation, we study the inter-relationships between energy consumption, resource utilization, and performance of consolidated workloads. The study reveals the energy performance trade-offs for consolidation and shows that optimal operating points exist. We model the consolidation problem as a modified bin packing problem and illustrate it with an example.

24p holy_ghost 05-04-2013 90 20   Download

Computing matrices is a crucial and prevalent topic in the field of data processing and artificial intelligence. One of the significant and effective methods for matrix manipulation is Singular Value Decomposition (SVD). Based on matrix computations using SVD, we can perform various complex operations such as dimensionality reduction, hidden information detection, optimization, and many other applications.

9p viprimi 16-12-2024 4 1   Download

Lecture "Fundamentals of control systems - Chapter 5: Analysis of control system performance" presentation of content: Performance criteria, steady state error, transient response, the optimal performance index,... Invite you to reference.

0p doinhugiobay_17 04-03-2016 65 5   Download

Optimum Flight Trajectories for Terrain Collision AvoidanceThe objective of this research is to introduce a new methodology that computes optimal escape trajectories within a three dimensional digital terrain. It has been established that conducting a pull up manoeuvre may not always be the best option for a pilot to salvage the aircraft in the case of an imminent collision. To prove this further, several simulations were conducted which shows that performing a lateral turn can produce safer trajectories in comparison to a vertical pull up.

155p runthenight07 01-03-2023 13 3   Download

The main objective of this research is to optimize the design of the Tunnel kiln for efficient fuel usage. To achieve that, the temperature distribution from the simulation needs be matched with the desired Tunnel kiln curve found in industry. This objective can be achieved by CFD simulation where temperature, velocity and emission distributions inside the Tunnel kiln can be obtained. Generated temperature distribution can be matched with the industrial curve and by interpreting the curve, efficient design can be suggested.

115p runthenight07 01-03-2023 16 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 12 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 12 3   Download

The thesis is performed theoretically and experimentally. The theoretical studies on the dynamics of the single short pulse emission using transient cavity method and narrow linewidth and tunable wavelength generation using Littrow grating configuration were performed. On the other hand, the experimental investigations were carried out Experimental research was carried out based on the optimal results obtained by the theoretical studies.

27p beloveinhouse01 15-08-2021 36 4   Download

It is impossible to find an optimal algorithm that can reduce time and memory complexities with best detection performance. These aspects are always in conflict with each other. Thus, in each chapter, we will propose algorithms to solve each problem quite independently.

26p larachdumlanat129 20-01-2021 37 5   Download

The objective of this dissertation is to investigate that whether the investors can improve the performance of minimum – variance optimized portfolios by altering the estimators of covariance matrix input. Besides, based on the results of out – of – sample portfolio performance metrics, the dissertation is going to select the suitable estimators of covariance matrix for portfolio optimization on Vietnam stock market.

129p mmlemmlem_124 22-12-2020 15 3   Download

The research objective of the thesis is to consider how the change of covariance matrix factor will affect the results of portfolio selection and through that to find out whether investors have Is it possible to improve portfolio performance by adjusting the covariance matrix in the optimized model with the smallest variance.

55p mmlemmlem_124 22-12-2020 12 3   Download