Computational modeling

In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.

12p viling 11-10-2024 4 1   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

Efficient ship detection is essential for inland waterway management. Recent advances in artificial intelligence have prompted research in this field. This study introduces a real-time ship detection model utilizing computer vision and the YOLO object detection framework.

14p viengfa 28-10-2024 2 2   Download

This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.

13p viengfa 28-10-2024 2 2   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

Mathematical model of reaction systems contains experimental parameters such as reaction enthalpies, which may be inaccurate and, therefore, severely affect the computation as well as the implementation of feedback control laws. This paper aims to design an adaptive PI-like controller to regulate a chemical reaction system by means of the Lyapunov theory.

11p viinuzuka 28-02-2025 3 1   Download

This paper proposes an intelligent plastic waste detection and classification system based on the Deep Learning model and Delta robot. This system includes a Delta robot, a camera, a conveyor, a control cabinet, and a personal computer.

10p viinuzuka 28-02-2025 3 1   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 6 1   Download

This paper presents a lightweight deep learning-based product object classification scheme designed for deployment on edge servers. Leveraging the ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) dataset, six classes relevant to product objects are selected for model training and evaluation.

7p viyamanaka 06-02-2025 2 2   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 4 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 3 2   Download

Machine learning and computer vision play pivotal roles in detecting product defects across various industries, enhancing effectiveness, precision, and minimizing labor expenditures. This journalutilizes image manipulation through the OpenCV, coupled with machine learning employing the ResNet-50 model, to specifically identify surface defects and dimensions in bearings.

5p vibenya 31-12-2024 8 1   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 127 20   Download

Tầng 1: Tầng vật lý (Physical Layer) Tầng vật lý định nghĩa tất cả các đặc tả về điện và vật lý cho các thiết bị. Trong đó bao gồm bố trí của các chân cắm (pin), các hiệu điện thế, và các đặc tả về cáp nối (cable). Các thiết bị tầng vật lý bao gồm Hub, bộ lặp (repeater), thiết bị tiếp hợp mạng (network adapter) và thiết bị tiếp hợp kênh máy chủ (Host Bus Adapter)- (HBA dùng trong mạng lưu trữ (Storage Area Network)). Chức năng và dịch vụ căn bản được thực hiện bởi tầng vật...

54p erjokoi 22-07-2010 346 134   Download

Real world concepts can be modeled in a computer program The program is made of objects with certain properties and operations that the objects can perform It is not important how an object is implemented, but what it does Every object is responsible for carrying out a set of related tasks. A class can contain data declarations and method declarations

50p nguyenvanhabk1 04-09-2012 75 5   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 89 20   Download

After completing this chapter, students will be able to: Understant what and why use web service, know some type of architectural models, understant web service architecture, determine service-oriented architecture understant and use some web service technologies, build a simple web service.

168p youcanletgo_04 15-01-2016 83 7   Download

In this chapter, the following content will be discussed: Overview, multicore programming, multithreading models, thread libraries, implicit threading, threading issues, operating system examples.

46p dien_vi02 07-10-2018 41 1   Download

In this chapter, the following content will be discussed: System model, deadlock characterization, methods for handling deadlocks, deadlock prevention, deadlock avoidance, deadlock detection, recovery from deadlock.

45p dien_vi02 07-10-2018 41 0   Download

This thesis develops a flexible customer behavior analysis system, including essential head pose estimation or F-formation modules. This system will be evaluated in an actual retail store. Further, after studying the system, realizing the mentioned problems of the head pose problem, we also propose a process to collect the head pose dataset and multi-task deep neural network model, fusing face detection and head pose estimation to yield face position and head pose at the same time.

72p khanhchi0912 12-04-2024 8 2   Download