Min Hong
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View article: Real-Time Progressive Cutting of Deformable Objects in Unity 3D with Internal Shape-Preserving Constraints
Real-Time Progressive Cutting of Deformable Objects in Unity 3D with Internal Shape-Preserving Constraints Open
This study discovers a real-time method for simulating progressive cutting in the Unity game engine. The proposed approach utilizes Position-Based Dynamics (PBD) to model deformable objects, making it suitable for applications such as surg…
View article: Toward Real-Time Scalable Rigid-Body Simulation Using GPU-Optimized Collision Detection and Response
Toward Real-Time Scalable Rigid-Body Simulation Using GPU-Optimized Collision Detection and Response Open
We propose a GPU-parallelized collision-detection and response framework for rigid-body dynamics, designed to efficiently handle densely populated 3D simulations in real time. The method combines explicit Euler time integration with a hier…
View article: Moving Towards Large-Scale Particle Based Fluid Simulation in Unity 3D
Moving Towards Large-Scale Particle Based Fluid Simulation in Unity 3D Open
Large-scale particle-based fluid simulations present significant computational challenges, particularly in achieving interactive frame rates while maintaining visual quality. Unity3D’s widespread adoption in game development, VR/AR applica…
View article: High sensitivity detection of Clonorchis sinensis and Gymnophalloides seoi in food by new real-time gene amplification method
High sensitivity detection of Clonorchis sinensis and Gymnophalloides seoi in food by new real-time gene amplification method Open
View article: Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU
Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU Open
This study proposes a GPU-accelerated Position-Based Dynamics (PBD) system for realistic and interactive cloth simulation in Extended Reality (XR) environments, and comprehensively evaluates its performance and functional capabilities on s…
View article: Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms
Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms Open
Recent advancements in the unmanned aerial vehicle remote sensing field have highlighted the effectiveness of infrared sensors in detecting and tracking time-sensitive ground targets, particularly within the domain of early warning and sur…
View article: Exhale-Focused Thermal Image Segmentation Using Optical Flow-Based Frame Filtering and Transformer-Aided Deep Networks
Exhale-Focused Thermal Image Segmentation Using Optical Flow-Based Frame Filtering and Transformer-Aided Deep Networks Open
Since the COVID-19 pandemic, interest in non-contact diagnostic technologies has grown, leading to increased research into remote biosignal monitoring. The respiratory rate, widely used in previous studies, offers limited insight into pulm…
View article: YOLO Object Detection for Real-Time Fabric Defect Inspection in the Textile Industry: A Review of YOLOv1 to YOLOv11
YOLO Object Detection for Real-Time Fabric Defect Inspection in the Textile Industry: A Review of YOLOv1 to YOLOv11 Open
Automated fabric defect detection is crucial for improving quality control, reducing manual labor, and optimizing efficiency in the textile industry. Traditional inspection methods rely heavily on human oversight, which makes them prone to…
View article: Fast Collision Detection Method with Octree-Based Parallel Processing in Unity3D
Fast Collision Detection Method with Octree-Based Parallel Processing in Unity3D Open
Performing accurate and precise collision detection is a key to real-time applications in computer graphics, games, physical-based simulation, virtual reality, augmented reality, and research and development. Researchers have developed num…
View article: Development and Comparison of Machine Learning and Deep Learning Models for Speech Audiometry Prediction
Development and Comparison of Machine Learning and Deep Learning Models for Speech Audiometry Prediction Open
Hearing loss significantly impacts daily communication, making accurate speech audiometry (SA) assessment essential for diagnosis and treatment. However, SA testing is time-consuming and resource-intensive, limiting its accessibility in cl…
View article: Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning
Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning Open
View article: Enhancing Fabric Detection and Classification Using YOLOv5 Models
Enhancing Fabric Detection and Classification Using YOLOv5 Models Open
The YOLO series is widely recognized for its efficiency in the real-time detection of objects within images and videos. Accurately identifying and classifying fabric types in the textile industry is vital to ensuring quality, managing supp…
View article: Classification of Chronic Obstructive Pulmonary Disease (COPD) Through Respiratory Pattern Analysis
Classification of Chronic Obstructive Pulmonary Disease (COPD) Through Respiratory Pattern Analysis Open
Background: This study proposes a classification system for predicting chronic obstructive pulmonary disease (COPD) patients and non-patients based on image and text data. Method: This study measured the respiratory volume based on thermal…
View article: Real-Time Physics Simulation Method for XR Application
Real-Time Physics Simulation Method for XR Application Open
Real-time physics simulations are vital for creating immersive and interactive experiences in extended reality (XR) applications. Balancing computational efficiency and simulation accuracy is challenging, especially in environments with mu…
View article: Measurements on slope parameter mapping based on dual-energy CT enterography for improving Crohn’s disease diagnosis and inflammatory activity evaluation
Measurements on slope parameter mapping based on dual-energy CT enterography for improving Crohn’s disease diagnosis and inflammatory activity evaluation Open
To explore the value of slope parameter images (SPI) derived from the dual-phase dual-energy CT enterography (DE-CTE) in the diagnosis and activity evaluation of Crohn's disease (CD). A retrospective analysis of 76 patients with CD and 53 …
View article: A Fast Parallel Processing Algorithm for Triangle Collision Detection Based on AABB and Octree Space Slicing in Unity3D
A Fast Parallel Processing Algorithm for Triangle Collision Detection Based on AABB and Octree Space Slicing in Unity3D Open
This research develops an effective and precise collision detection (CD) algorithm for real-time simulation in virtual environments such as computer graphics, realistic and immersive virtual reality (VR), augmented reality (AR) and physica…
View article: fNIRS Classification of Adults With ADHD Enhanced by Feature Selection
fNIRS Classification of Adults With ADHD Enhanced by Feature Selection Open
Adult attention deficit hyperactivity disorder (ADHD), a prevalent psychiatric disorder, significantly impacts social, academic, and occupational functioning. However, it has been relatively less prioritized compared to childhood ADHD. Thi…
View article: Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing
Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing Open
View article: Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity
Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity Open
This paper presents a comparative study of the Vertex Block Descent (VBD) and Position-Based Dynamics (PBD) algorithms, focusing on their performance in physical simulation tasks. Unity, a versatile physics engine, served as the simulation…
View article: Development of a Deep Learning Model for Predicting Speech Audiometry Using Pure-Tone Audiometry Data
Development of a Deep Learning Model for Predicting Speech Audiometry Using Pure-Tone Audiometry Data Open
Speech audiometry is a vital tool in assessing an individual’s ability to perceive and comprehend speech, traditionally requiring specialized testing that can be time-consuming and resource -intensive. This paper approaches a novel use of …
View article: Efficient Fabric Classification and Object Detection Using YOLOv10
Efficient Fabric Classification and Object Detection Using YOLOv10 Open
The YOLO (You Only Look Once) series is renowned for its real-time object detection capabilities in images and videos. It is highly relevant in industries like textiles, where speed and accuracy are critical. In the textile industry, accur…
View article: Evaluation of Carbon Neutrality Capacity of Regional Construction Industry Based on the Entropy Weight TOPSIS Model
Evaluation of Carbon Neutrality Capacity of Regional Construction Industry Based on the Entropy Weight TOPSIS Model Open
This study examines the overall needs of the green construction scheme with ‘carbon neutrality’ as the centre in the Zhejiang provincial green development target area. By aggregating and organising the construction and development data of …
View article: Evaluation of Carbon Neutrality Capacity of Regional Construction Industry Based on the Entropy Weight TOPSIS Model
Evaluation of Carbon Neutrality Capacity of Regional Construction Industry Based on the Entropy Weight TOPSIS Model Open
This study examines the overall needs of the green construction scheme with ‘carbon neutrality’ as the centre in the Zhejiang provincial green development target area. By aggregating and organising the construction and development data of …
View article: Flow-Field Inference for Turbulent Exhale Flow Measurement
Flow-Field Inference for Turbulent Exhale Flow Measurement Open
Background: Vision-based pulmonary diagnostics present a unique approach for tracking and measuring natural breathing behaviors through remote imaging. While many existing methods correlate chest and diaphragm movements to respiratory beha…
View article: Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations
Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations Open
Video classification has achieved remarkable success in recent years, driven by advanced deep learning models that automatically categorize video content. This paper provides a comprehensive review of video classification techniques and th…
View article: Performance Comparison of Convolutional Neural Network-Based Hearing Loss Classification Model Using Auditory Brainstem Response Data
Performance Comparison of Convolutional Neural Network-Based Hearing Loss Classification Model Using Auditory Brainstem Response Data Open
This study evaluates the efficacy of several Convolutional Neural Network (CNN) models for the classification of hearing loss in patients using preprocessed auditory brainstem response (ABR) image data. Specifically, we employed six CNN ar…
View article: Video Classification of Cloth Simulations: Deep Learning and Position-Based Dynamics for Stiffness Prediction
Video Classification of Cloth Simulations: Deep Learning and Position-Based Dynamics for Stiffness Prediction Open
In virtual reality, augmented reality, or animation, the goal is to represent the movement of deformable objects in the real world as similar as possible in the virtual world. Therefore, this paper proposed a method to automatically extrac…
View article: Efficient Detection and Measurement of Paving Blocks Using 3d Laser Line Sensor on Ugvs
Efficient Detection and Measurement of Paving Blocks Using 3d Laser Line Sensor on Ugvs Open
View article: Auditory Brainstem Response Data Preprocessing Method for the Automatic Classification of Hearing Loss Patients
Auditory Brainstem Response Data Preprocessing Method for the Automatic Classification of Hearing Loss Patients Open
Auditory brainstem response (ABR) is the response of the brain stem through the auditory nerve. The ABR test is a method of testing for loss of hearing through electrical signals. Basically, the test is conducted on patients such as the el…
View article: Supervised Video Cloth Simulation: Exploring Softness and Stiffness Variations on Fabric Types Using Deep Learning
Supervised Video Cloth Simulation: Exploring Softness and Stiffness Variations on Fabric Types Using Deep Learning Open
Physically based cloth simulation requires a model that represents cloth as a collection of nodes connected by different types of constraints. In this paper, we present a coefficient prediction framework using a Deep Learning (DL) techniqu…