Process model

This paper presents a new approach to establishing the interior ballistic algorithm for mortar systems based on thermodynamic theory. Contrary to previous studies, the processes that occurred in the ignition charges and the gas mixture properties in the barrel were considered in this study. The numerical integration method has been used to solve the problem with high accuracy.

8p vijiraiya 19-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 2 - Digital Image Fundamentals, compiled including the following main contents: Image Sensing and Acquisition; Image Sampling and Quantization; Some Basic Relationships Between Pixels; Basic Mathematical Tools Used in Digital Image Processing.

56p phongtrongkim0906 16-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 4 - Color Image Processing, compiled including the following main contents: Color Fundamentals; Color Models; Basics of Full-Color Image Processing; Color Transformations; Color Image Smoothing and Sharpening.

37p phongtrongkim0906 16-05-2025 1 1   Download

This article discusses an adaptive cruise control system aimed at monitoring the distance with the vehicle ahead. This system allows for the automatic control of the throttle by electronic control signals instead of manual pedal operation. In the research, a predictive control model (MPC) is utilized within the Matlab/Simulink software to simulate the control process of the research model.

4p vijiraiya 19-05-2025 1 1   Download

This study focuses on developing a machine learning model through the process of analyzing. comparing, and evaluating the performance of five models: AdaBoost, Decision Tree, RandomForest, ExtraTree, and BernoulliNB. All models are implemented using the "Predict Student Dropout Dataset." Based on the results obtained after processing the data, the study will conduct an analysis based on two main criteria: evaluation by average percentage, standard deviation, and final outcomes, as well as evaluation using a time-series model of age (Balanced Accuracy Progression).

16p visarada 28-04-2025 1 1   Download

In this article, we will discuss the use of a database, called Churn Modeling, which collects statistical data from banks. We will also explore the application of the BernoulliNB algorithm, combined with the incremental machine learning method, to process streaming data and analyze and predict customer churn rates in banks.

10p visarada 28-04-2025 1 1   Download

This paper presents the process of building and developing a mobile application designed to assist students and users in learning and applying Database management techniques. The goal of the application is to provide a user-friendly tool for solving exercises related to functional dependencies and keys, as well as normalizing relational schemas from basic to advanced levels.

8p visarada 28-04-2025 1 1   Download

The research focuses on applying deep learning to automate the fruit recognition and classification process, meeting the development needs of modern agriculture. Applying this technology helps improve efficiency and classification quality and reduces labor costs, resulting in lower product prices. The research team used two deep learning models, SSD300 and YOLOv10s, to recognize and classify six types of fruits: apples, bananas, kiwis, lemons, oranges, and strawberries.

9p vimaito 11-04-2025 1 1   Download

Through the process of analysing related documents and object characteristics in FMCG companies, paper aim to build vehicle roung with me window (CVRTW) model to optimize the delivering process, thus satisfying customer demand. To ensure the quality of the results, the model will be solved using the simulated annealing algorithm (SAalgorithm).

8p vifilm 11-10-2024 1 0   Download

The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

7p viengfa 28-10-2024 2 2   Download

A large number of studies have demonstrated the wound-healing effects of LLLT in vitro, in animal models, and in clinical practice. However, there are also differences in the study results, which are dose and wavelength dependent of LLLT. Evaluation of the wound healing process in experimental animals treated with low- level laser therapy in clinical and histopathology.

8p viengfa 23-10-2024 6 0   Download

This research provides a comprehensive investigation of the planar anisotropy in stainless steel SUS 304. Constitutive modeling approaches, employing both associated and non-associated flow rules, using quadratic functions have been applied in the simulation process.

10p viengfa 28-10-2024 2 2   Download

In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products.

6p viengfa 28-10-2024 4 2   Download

The article presents some research findings on the role of metacognition in the mathematical modeling process, including reading and understanding real-life problems, building mathematical models, solving math problems with the model, and presenting the solution.

8p viaburame 14-03-2025 1 1   Download

This article explores the digital transformation process of Hung Vuong University, reviews the current status, and offers solutions for the school’s digital transformation process shortly.

10p viaburame 14-03-2025 5 1   Download

The cement industry plays a crucial role in providing construction materials, directly contributing to infrastructure development and economic growth. Being interned at a cement manufacturing factory is an invaluable experience for engineering students in learning automation solutions in industry. During the internship at Hamaco Co., Ltd., a plant/model for simulating some steps in a Cement production process was built.

8p viaburame 14-03-2025 3 1   Download

One-loop contributions to the decay process \(H \to Z*\gamma \to {v_e}{v_e} \gamma \) in standard model are performed in the paper "One-loop contributions to in standard model \(H \to Z*\gamma \to {v_e}{v_e} \gamma \)". The detailed computations are carried out in unitary gauge. In physical results, we present numerical results for partial decay width and its distribution. We find that the partial decay width is given to 0.466 KeV. This result is in the upper bound of the current experimental data at the Large Hadron Collider.

9p xuanphongdacy09 29-09-2024 4 2   Download

The study highlights a number of incentives that impact product co-production behavior, including: economic, psychological, and social motivations. It was developed from the research framework "Descriptive model of the consumer co-production process" by M. Etgar.

12p vifilm 11-10-2024 5 1   Download

This study’s significance lies in its contribution to the academic discourse on the practical applications of blockchain and smart contracts in a specific regional context. It aims to provide actionable insights for businesses and policymakers, facilitating informed decisions to optimize supply chain processes, bolster competitiveness, and navigate the evolving market context efficiently.

8p viyamanaka 06-02-2025 13 2   Download

This paper presents a system that combines torque control algorithms based on a back-propagation neural network (BP-ANN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The BP-ANN uses a multi-layer structure where the input layer processes factors such as load torque, rotational speed, and stator current, hidden layers model complex nonlinear interactions, and the output layer predicts optimal torque for AFPMSM operation.

15p viyamanaka 06-02-2025 8 2   Download