Dynamic modeling

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 7 1   Download

This article proposes a distributed algorithm to deal with this problem, called the distributed algorithm for sequential pattern mining on a large sequence dataset using dynamic vector bit structures on the MapReduce distributed programming model (DSPDBV).

10p visarada 28-04-2025 1 1   Download

In this work, a reduced order isogeometric model is proposed to analyze the dynamic behavior of carbon nanotube-reinforced composite plates. In which, the mechanical properties of the material are functionally graded through the plate thickness employing four distributions of carbon nanotubes.

14p visarada 28-04-2025 2 1   Download

This study investigates the impact of geopolitical risks on Vietnamese outward foreign direct investment at the sectoral level during the period from 2010 to 2022. The analysis employs a Least square dummy variable regression model.

8p visarada 28-04-2025 4 1   Download

In this paper, a nonlinear path tracking controller based on a combination of kinematics and torque backstepping methods is applied to a nonholonomic Two-Wheeled Mobile Robot (WMR). The mobile robot is considered in terms of dynamics model in Cartesian coordinates and its parameters are exactly known.

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 paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.

9p viengfa 28-10-2024 5 2   Download

This article focuses on the aerodynamic and acoustic characteristics of both an isolated propeller model and a propeller - boundary surface model. The study uses the Reynoldsaveraged Navier-Stokes (RANS) method combined with Computational Fluid Dynamics techniques to analyze the flow field and wake flow behind the propeller and to determine its basic aerodynamic coefficients.

14p viyuhi 26-03-2025 5 1   Download

This paper explores the application of GeoGebra software to assist teachers and students in lessons on fixed points of families of lines and circles, a relatively complex topic in secondary school geometry that requires logical reasoning and advanced proof skills. GeoGebra, as a visual modeling tool, enables the discovery and proof of fixed points in problems involving families of lines and circles.

7p viaburame 14-03-2025 6 1   Download

Nghiên cứu áp dụng mô hình hồi quy dữ liệu bảng động (Dynamic panel data model regression) để đánh giá tác động dài hạn của quản trị công đến tăng trưởng kinh tế bằng cách sử dụng dữ liệu về bộ chỉ số quản trị của Ngân hàng thế giới cho 23 quốc gia thu nhập trung bình tại khu vực châu Á trong khoảng thời gian 12 năm (từ năm 2008 đến năm 2020).

16p viengfa 28-10-2024 3 1   Download

This study aims to generate the system of histone deacetylase enzymes (HDAC) with its cofactor zinc ion using two different parameter models and application of molecular dynamic (MD) study for structure of HDAC2 and vorinostat ligand. Materials and methods: Two non-bonded models, including 12-6-4 Lennard-Jones and cationic dummy atom, were applied for building a solvation system of HDAC2 crystal structure with presence of suber-anilohydroxamic acid (SAHA) and zinc ion.

9p vihyuga 04-03-2025 4 1   Download

Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.

21p viyamanaka 06-02-2025 2 1   Download

This paper presents a combined method utilizing FE analysis and MBD simulation for structural analysis in the time domain. The MBD model of the full vehicle is built with the object of the trailer frame transferred from the modal neutral file of the FE model.

11p viyamanaka 06-02-2025 3 2   Download

Land use and land cover (LULC) change is a key factor influencing land surface temperature (LST) dynamics. This change reflects partly global warming and climate change at local and regional scales. This study aimed to evaluate the effect of LULC on LST change in Lac Duong mountainous district, Lam Dong province in the past 10 years (2013 - 2023), and predict the LST change in 2030.

16p tuetuebinhan000 23-01-2025 5 2   Download

This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.

8p vifilm 11-10-2024 12 1   Download

The study aims to improve the safety and energy savings of IEVs during vehicle operation. First, the article builds a nonlinear dynamic model for IEVs, including electric motors, gearboxes, and braking systems.

7p vibenya 31-12-2024 9 2   Download

Time series analysis is an essential field in data analysis, particularly within forecasting and prediction domains. Researching and building time series models play a crucial role in understanding and predicting the temporal dynamics of various phenomena. In mathematics, time series data is defined as data points indexed in chronological order and have a consistent time interval between consecutive observations.

10p vibenya 31-12-2024 5 2   Download

The paper proposes an empirical VAR for the UK open economy in order to measure the effects of monetary policy shocks from 1981 to 2003. The identification of the VAR structure is based on short-run restrictions that are consistent with the general implications of a New Keynesian model. The identification scheme used in the paper is successful in identifying monetary policy shocks and solving the puzzles and anomalies regarding the effects of monetary policy shocks.

37p pnq9292 14-03-2017 80 4   Download

-Thiết kế mô phỏng là quá trình thiết kế với sự trợ giúp của máy tính và các phần mền ứng dụng chuyên nghiệp. -Các từ khóa được sử dụng trong thiết kế mô phỏng: Simulation, process simulation : Mô phỏng, quá trình mô phỏng Dynamic simulation : mô phỏng động Simulator : thiết kế mô phỏng Equation of state (EOS) : phương trình trạng thái Steady-state simulation : mô phỏng trạng thái bền vững To proceed by trial and error : Mô phỏng bằng cách mò mẫm Model : mô hình Modelling : quá trình mô hình hóa...

62p nguyenthovt 05-01-2011 358 132   Download

Những giả thiết cơ bản của Dynamic Simulation trong HYSYS, cách phân tích Flowsheet để đặt giá trị Pressure thích hợp, khai báo những tham số Pressure, Flow phù hợp,... là những nội dung chính trong bài giảng "Dynamic modeling: 3 - Pressure flow theory". Mời các bạn cùng tham khảo.

24p ntchung8894 11-12-2015 43 6   Download