System modeling

In this paper, we propose a single-step Deep Neural Network (DNN) for CE, termed Iterative Sequential DNN (ISDNN), inspired by recent developments in data detection algorithms. ISDNN is a DNN based on the projected gradient descent algorithm for CE problems, with the iterative iterations transforming into a DNN using the deep unfolding method.

7p vijiraiya 19-05-2025 1 1   Download

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

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

Tóm tắt Luận văn Thạc sĩ Kỹ thuật "Thiết kế, chế tạo bộ điều khiển thích nghi theo mô hình mẫu (MRAS) áp dụng cho bài toán phân chia công suất hai động cơ một chiều nối cứng trục, chung tải" trình bày các nội dung chính sau: Hệ thống điều khiển thích nghi theo mô hình mẫu - Model Reference Adaptive Systems – MRAS; Thiết kế và mô phỏng thuật toán điều khiển.

22p vinarutobi 06-05-2025 2 1   Download

Luận văn Thạc sĩ Kỹ thuật "Thiết kế, chế tạo bộ điều khiển thích nghi theo mô hình mẫu (MRAS) áp dụng cho bài toán phân chia công suất hai động cơ một chiều nối cứng trục, chung tải" trình bày các nội dung chính sau: Bài toán cân bằng tải cho hai động cơ nối cứng trục; Hệ thống điều khiển thích nghi theo mô hình mẫu - Model Reference Adaptive Systems – MRAS; Thiết kế và mô phỏng thuật toán điều khiển.

87p vimitsuki 06-05-2025 6 1   Download

This paper investigates the system performance of hybrid time-power switching based relaying (TPSR) energy harvesting enabled in the multisource half-duplex relaying network over the Rayleigh fading channel. The outage probability (OP) of the proposed system model with implementing maximal ratio combining (MRC) and selection combination (SC) technique at the receiver is presented and analyzed.

8p viling 11-10-2024 5 1   Download

The objective of our study is to assess the effectiveness and efficiency of PRBT and IRKA in reducing the complexity of circuit models while retaining essential system characteristics. By systematically analyzing and comparing the outcomes of these algorithms, we aim to provide insights into their applicability and suitability for practical engineering applications.

7p viling 11-10-2024 3 1   Download

This paper introduces the application of artificial intelligence to build a security control software system in local military units. This software system uses state-of-the-art convolutional neural networks (CNN SOTA) for facial recognition by testing two of the best facial recognition models currently available: the FaceNet model and the VGGFace model.

8p vifilm 11-10-2024 6 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

This study applies Wavelet analysis to develop a comprehensive method for detecting damage in spiral bevel gears within automotive drive systems. By utilising Wavelet analysis to examine the vibration signals of the gears, it is possible to identify spatial and temporal variations in the signals, thereby detecting signs of damage in the system.

12p vifilm 11-10-2024 5 1   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

This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.

6p viengfa 28-10-2024 3 2   Download

The paper explores the application of the Modal Truncation algorithm in Model Order Reduction, focusing on its effectiveness in reducing high-dimensional mathematical model. The algorithm identifies dominant modes governing dynamic responses, discards the high-order model, and reconstructs a new model with reduced dimensions.

6p viengfa 28-10-2024 5 2   Download

This study introduces and evaluates the Long-term Traffic Prediction Network (LTPN), a specialized machine learning framework designed for realtime traffic prediction in urban environments.

12p viengfa 28-10-2024 3 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

This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.

8p viengfa 28-10-2024 3 2   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets.

11p viengfa 28-10-2024 3 2   Download

Paper "Multi-source data analysis for bike sharing systems" propose two types of regression models using multi-source data to predict the hourly bike pick-up demand at cluster level: Similarity Weighted K-Nearest-Neighbor (SWK) based regression and Artificial Neural Network (ANN). SWK-based regression models learn the weights of several meteorological factors and/or taxi usage and use the correlation between consecutive time slots to predict the bike pick-up demand.

6p tuongtieume 03-04-2025 6 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 paper builds a computational model of a multisubcarrier free space optic, a variant of the Subcarrier Intensity Modulation Free Space Optic (SIM-FSO), establishes algorithmic flowcharts, writes a computational program to investigate the system performance under various modulation methods, air turbulence levels and different numbers of subcarriers and data rates.

6p viaburame 14-03-2025 6 1   Download