Data modeling

To achieve this objective, a survey was conducted among 1020 respondents with varying genders, and educational levels in Ho Chi Minh City. The collected data was analyzed sing SPSS and AMOS software, enabling the development of a structural model.

13p viinuzuka 28-02-2025 0 0   Download

This paper also discusses practical applications of object detection in satellite images, including environmental monitoring, resource management, and disaster response. Finally, the paper suggests potential future research directions, such as developing more efficient models, handling small objects, and leveraging diverse data sources.

9p vihyuga 20-02-2025 2 1   Download

This paper demonstrates that, using multiple data points around each gateway allows for the creation of accurate coverage heat maps by using a proposed LoRaWAN coverage estimation algorithm. This method effectively identifies areas with varying signal strength across Da Nang City, highlighting where additional gateways are needed to improve network reliability.

6p vihyuga 20-02-2025 7 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 1 1   Download

This article presents a semisupervised fuzzy c-means clustering algorithm based on the collaborative clustering model (CSFCM) on distributed systems applied to the problem of land cover classification from remote sensing data.

14p viyamanaka 06-02-2025 1 1   Download

The paper describes a new architecture for 3D visualization service, made to convert 2D CAD data into comprehensive 3D models. It is created with focus on multi-device environments in industrial uses.

8p viyamanaka 06-02-2025 2 2   Download

This article constructs a convolutional neural network for predicting pressure and velocity fields around a twodimensional aircraft wing model (airfoil model). Training data is computed using the Reynolds-averaged method, and then extracted, focusing on the flow around the wing.

11p viyamanaka 06-02-2025 2 2   Download

This study will provide evidence to help banks better understand the factors affecting profitability, thereby proposing solutions to improve operational efficiency and ensure sustainable development. To achieve this goal, the study uses a panel data regression model with data from the financial statements of Vietnamese commercial banks listed on the stock exchange from 2015 to 2022.

11p viyamanaka 06-02-2025 2 2   Download

This paper presents a novel approach to enhancing the accuracy of precipitation estimation in Central Vietnam using the Extreme Gradient Boosting (XGBoost) machine learning model. The proposed method integrates multi-source data, combining satellite imagery from Himawari-8, atmospheric reanalysis from ERA-5, and digital elevation models from ASTER DEM to train the model.

9p tuetuebinhan000 23-01-2025 1 1   Download

The main aim of this study is to delve into the impact of cyber forensic accounting on the quality of metaverse integrated reporting in metaverse local government. The suggested model was empirically validated using SmartPLS 4.1.0.2 software and structural equation modelling. Statistical data obtained from surveys conducted among accountants working in public sector organizations (PSOs).

10p tuetuebinhan000 23-01-2025 2 2   Download

This study aims to understand the effect of blockchain on bank performance of banks under the mediating role of accounting information systems quality. Based on the Resource-based perspective, the proposed research model with 4 hypotheses and data is surveyed from 324 employees working in the nance and accounting departments of Vietnamese commercial banks.

8p tuetuebinhan000 23-01-2025 5 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 3 2   Download

This paper concisely overviews recent advancements and challenges associated with applying activity-based models in travel demand forecasting. Additionally, the article explores the operational process of the ActivitySIM model, a specific ABM tool for traffic demand forecasting, by detailing the required input data and parameters.

5p vibenya 31-12-2024 5 2   Download

Thermophysical properties of industrially complex fluids whose composition is always ill-defined are in practice predicted by using thermodynamic models. To ensure the prediction accurately and reliably, a three-step procedure to obtain the properties of these fluids must be validated. The focus of this study is laid on a short review of tools which can be served for each of the three steps.

10p vibenya 31-12-2024 5 2   Download

In the present study, cooling of PV module using a paraffin-based phase change material (PCM) in hot climate of Vietnam is investigated. Thermal modelling is first validated against experimental data reported in literature and then transient thermal simulations are carried out for a duration of 24 hours to assess the effect of PCM itself and PCM with internal fins.

6p vibenya 31-12-2024 5 2   Download

This paper introduces an analytical model to assess collision probabilities, applicable for evaluating the effectiveness of WSNs using tree routing protocols. It examines collision probabilities across various types of traffic load, including routing and data traffic, highlighting their interconnected influences.

6p vibenya 31-12-2024 4 2   Download

Recent MLP-Mixer has a good ability to handle longrange dependencies, however, to have a good performance, one requires huge data and expensive infrastructures for the pre-training process. In this study, we proposed a novel model for nuclei image segmentation namely Axial Convolutional-MLP Mixer, by replacing the token mixer of MLP-Mixer with a new operator, Axial Convolutional Token Mix.

6p vibenya 31-12-2024 3 2   Download

Partitioning DFDs: a. The process of analyzing a DFD and deriving a series of manual procedures b. Adding controls to ensure the processes are done property c. The process of analyzing a DFD and deriving a series manual procedures and computer programs d. None of these answers Câu 162: Physical data flow diagram: a. describing processes in greater detail b. show sequencing processes in the order they must be executed c. show how the system operates or how the new system will be implemented d. all of these answers Câu 163: Physical DFDs a. show how the system is or...

29p itvovantien 23-06-2012 126 20   Download

Câu 1: A problem soling technique that decomposes a system its component parts while focusing on the business problem independent of technology is: a. Cause-and-effect analysis. b. System design. c. Joint application design(JAD). d. Systems analysis. Câu 2: A database is an organized collection of ____ related data. a. None of the others answers. b. logically. c. not. d. physically.

32p itvovantien 23-06-2012 107 18   Download

Mô hình dữ liệu quan hệ (Ralational Data Model) - gọi tắt là mô hình quan hệ, do EF.Codd đề xuất năm 1970. Nền tảng lý thuyết của nó là khái niệm lý thuyết tập hợp trên các quan hệ, tức là tập của các bộ giá trị. Mô hình dữ liệu quan hệ là mô hình được nghiên cứu nhiều nhất, và thực tiễn đã cho thấy rằng nó có cơ sở lý thuyết vững chắc nhất. Mô hình dữ liệu này cùng với mô hình thức thể kết hợp đang được sử dụng rộng rãi trong việc phân...

34p quynhngasp 30-03-2010 1187 235   Download