Accurate displacement calculation in the laminated iron cores of electric machines is important for the accurate prediction of noise generation in the electric machines. The authors proposed a modeling method of displ...
Accurate displacement calculation in the laminated iron cores of electric machines is important for the accurate prediction of noise generation in the electric machines. The authors proposed a modeling method of displacements due to magnetostriction in the laminated iron core using a homogenization model with equivalent anisotropic magnetic and elastic parameters. The calculated displacements obtained from the homogenization model are compared with those of the real laminated iron core model, and the solid core model neglecting the laminated structure. The homogenization model shows good agreement with the real model.
In this paper, we introduce a new method that first utilizes 3D Gaussian splatting in street-level localization problem. Robust localization with street-level real-world images such as street view is a major issue for...
详细信息
ISBN:
(数字)9798350377705
ISBN:
(纸本)9798350377712
In this paper, we introduce a new method that first utilizes 3D Gaussian splatting in street-level localization problem. Robust localization with street-level real-world images such as street view is a major issue for autonomous vehicle, augmented reality (AR) navigation, and outdoor mobile robots. The objective is to determine the position and orientation of a query image that matches a street view database composed of RGB images. However, given the limited information available in the street view images, accurately determining the location solely based on this data presents a significant challenge. To address this challenge, we propose a novel method called renderable street view map-based localization (RSM-Loc). This approach enhances the localization process by augmenting 2D street view images into a renderable 3D map using 3D Gaussian splatting, to resolve street-level localization problems. Upon receiving a query RGB image without geometry information, the proposed method renders 2D images from a pre-made renderable map and compares image pose similarities between the rendered images and the query image. Through iterations of this process, the proposed method eventually estimates the pose of the given query image. The experimental results demonstrate that RSM-Loc outperforms the baselines with neural-field-based localization. Additionally, we conduct deep analysis on the proposed method to show that our method can serve as a new concept for the street-level localization problem.
For acute stroke patients, time to recognize the stroke symptom onset is crucial for the lifesaving treatment. The automatic detection of stroke signs has been increasingly developed for practical use. The better time...
详细信息
Falls are one of the most dangerous problems for the elderly. A reliable fall detection system can aid in reducing the harmful repercussions of an unintentional fall. The focus of this paper is on a dataset that inclu...
详细信息
While deep learning-based Alzheimer's disease (AD) diagnosis has recently made significant advancements, particularly in predicting the conversion of mild cognitive impairment (MCI) to AD based on MRI images, ther...
Designing a competent meta-reinforcement learning (meta-RL) algorithm in terms of data usage remains a central challenge to be tackled for its successful real-world applications. In this paper, we propose a sample-eff...
详细信息
Introduction: The purpose of this study is to present a novel approach for gait assessment called gait proficiency index (GPI) using only ground reaction forces (GRF)-derived parameters. Material and methods: Barefoot...
详细信息
Mining automation began in the 1960s to increase safety in underground mines. Today, robotic and autonomous systems perform specific mining activities, creating new oppor-tunities and a more efficient and safe industr...
详细信息
ISBN:
(数字)9798350350708
ISBN:
(纸本)9798350350715
Mining automation began in the 1960s to increase safety in underground mines. Today, robotic and autonomous systems perform specific mining activities, creating new oppor-tunities and a more efficient and safe industry. This paper proposes a novel solution for instrumentation for autonomous trucks working in open-pit mines, specifically during the parking maneuver to load ore. In this case, new hardware and firmware are developed to compute the future coordinates of the excavator bucket using two Global Positioning systems (GPS) receivers. In this approach, employing the concept of geometry and information from the GPS receivers, the future coordinates of the excavator bucket are calculated and made available to control the system, parking the autonomous truck in the desired position. The results demonstrate the accurate positioning of the off-highway truck during the ore-loading process, allowing for the correct execution of the truck's autonomous positioning maneuver.
This article presents the mathematical model of a 2 KW DBI (Dual Buck Inverter) converter that can be used in renewable energy applications. The inverter operating modes are described with the equations that model the...
The increasing need for efficient monitoring of parameters in challenging industrial environments, such as basic sanitation, has led to the search for integrated and user-friendly solutions that can address specific c...
详细信息
ISBN:
(数字)9798331507466
ISBN:
(纸本)9798331507473
The increasing need for efficient monitoring of parameters in challenging industrial environments, such as basic sanitation, has led to the search for integrated and user-friendly solutions that can address specific challenges of this setting. This project aims to develop a solution to meet monitoring requirements in water treatment plants. The proposed solution involves the development of both hardware and software for collecting data from the water treatment process using sensors and transmitting this information to a server structure, database, and communication interface with the cloud-based user. The effectiveness of the proposed device is being evaluated in six water treatment units located in the states of Alagoas, Mato Grosso, Paraná, Rio de Janeiro, and São Paulo. Preliminary results indicate that the proposed solution is capable of monitoring the variables involved in the water flocculation stage and generating a comprehensive set of information about the process over time.
暂无评论