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360-Degree Immersive Experience for Indoor Cycling
Indoor cycling is a concept that has emerged with technological advancements to serve multiple purposes such as fitness, virtual tourism, and leisure. Commercial solutions have been developed to serve different user groups, with emphasis on corresponding ...
Integration of Open Geodata into Virtual Worlds
This paper discusses and explores applications of virtual worlds generated from heterogenous kinds of open geodata, such as 2D maps, digital elevation models and aerial photographs. Two workflows are presented for generation of such virtual worlds and ...
Simulating Virtual Construction Scenes on OpenStreetMap
Nowadays, as more advanced technologies in Virtual Reality (VR) are emerging, virtual training become an important branch of modern construction training programs. However, manually creating virtual construction scenes is time-consuming and effort-...
Regulation of the Metaverse: A Roadmap: The risks and regulatory solutions for largescale consumer platforms.
Over the last thirty years, virtual reality (VR) and augmented reality (AR) technologies have steadily advanced, enabling high-fidelity experiences at consumer prices. Over the same period, network speeds have risen dramatically. Combined, such ...
A Cloud-Based Mobile Augmented Reality Application for BIM Collaboration
The complexity and the fragmentation of the construction industry require interprofessional collaboration and effective real-time management of information exchange throughout the construction process. Augmented Reality (AR), Building Information ...
Remote Sensing Image Road Segmentation Detection Method Based on Asymmetric Convolution Net
The feature extraction of convolutional layer of neural network has an important influence on the accuracy of neural network identification, and it is very important to increase the ability of neural network to extract image features. The use of suitable ...
Text-guided Attention Mechanism Fine-grained Image Classification
Scene texts with explicit semantic information in natural images can provide important clues to solve the corresponding computer vision problems. In the text, we usually focus on using multimodal content in the form of visual and text prompts to solve ...
Uncertainty Analysis Based Attention Network for Lung Nodule Segmentation from CT Images
In recent years, with the development of computer science and technology, computer aided diagnosis (CAD) systems have played important role in clinical practice. Using deep learning technology, existing CAD systems can predict whether CT images contain ...
The Application of Vision Transformer in Image Classification
This project aims to study the different performance between the Vision Transformer and a Convolu- tional Nerual Network. Google Colab will be used as the environment in this project. The dataset will use CIFAR-100 image dataset to train vision ...
Semantic Segmentation Model of Fluorescent Neuronal Cells in Mouse Brain Slices Under Few Samples.
Image of mouse neuronal cells is an important tool for studying mice. Examining mouse neuronal cells is an essential step in both pharmacological and toxicological tests. The morphology of individual neurons and the state of connections between multiple ...
Research on Design of News Video Retrieval System Based on Semantics
Relying on news shot boundary detection algorithm, key frame extraction method and other technologies, a hierarchical news video semantic index structure is proposed, and a retrieval and analysis system model based on news video semantics is constructed, ...
Machining Hole Feature Recognition Method and Application for Manufacturability Check
As the main basis of production, the correctness and standardization of product 3D model directly affect the quality of the product. At present, the mixed use of different modeling features in 3D CAD system leads to the semantic mismatch between design ...
Mars Probe Landing Control Scheme Based on Dynamic Programming and Lion Swarm Algorithm
The success of Tianwen No. 1 mission is a landmark achievement of independent innovation and leapfrog development of China's aerospace industry. In this paper, a differential equation model based on Newton ' s second law and pulse theorem is established ...
A Survey of Knowledge Representation Learning Based on Structure and Semantics
Knowledge representation methods have played an important role in the field of artificial intelligence especially in machine learning and deep learning. It converts useful information such as images, texts, and languages into low-dimensional and dense ...
A News Recommendation Algorithm Based on Word2vec and Convolutional Neural Network
The information overload of news makes it difficult for users to find news they are interested in. How to obtain the news that users are interested in among tens of thousands of news has become an urgent need in the current news recommendation field. ...
Comparative Analysis of Carbon Emissions in Tianjin Based on LMDI Method and STIRPAT Model
This paper compares and analyzes the influencing factors of carbon emissions by sorting out changes in Tianjin's carbon emissions from 2000 to 2019 based on the LMDI method and the STIRPAT model, and predicts and analyzes the carbon peak and carbon ...
Research on the Spread and Response Strategies of the New Crown Epidemic Based on Python Simulation Technology and SEIRS Model
Under such severe circumstances, accurately predicting the development trend of the epidemic is of great significance for subsequent intervention and control. This paper proposes an improved SEIRS dynamic model based on the infectious disease prediction ...
Application Research of Word Vector in Component Parsing
As we all know, syntactic analysis is one of the classic tasks in the field of natural language processing, and its goal is to analyze the input sentence and obtain the corresponding syntactic structure. The machine idea of syntactic analysis came from ...