A5063773228- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Evacuation and Crowd Dynamics
- Advanced Vision and Imaging
- Service-Oriented Architecture and Web Services
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Privacy-Preserving Technologies in Data
- 3D Surveying and Cultural Heritage
- Functional Brain Connectivity Studies
- Topic Modeling
- Robotic Path Planning Algorithms
- Mobile Ad Hoc Networks
- Photorefractive and Nonlinear Optics
- Video Analysis and Summarization
- Robotics and Sensor-Based Localization
- Advanced Text Analysis Techniques
- Rough Sets and Fuzzy Logic
- Web Data Mining and Analysis
- Neural dynamics and brain function
- Video Surveillance and Tracking Methods
- Advanced Computational Techniques and Applications
- Remote-Sensing Image Classification
Anhui Normal University
2019-2024
The University of Tokyo
2024
Nanjing Forestry University
2024
Anhui Institute of Information Technology
2019-2023
Nanjing University of Finance and Economics
2023
Beijing Normal University
2018-2023
Southeast University
2023
Nanjing Tech University
2022
Shanghai University
2006-2020
Zhejiang University of Science and Technology
2011-2020
Despite the new ideas were inspired in medical treatment by rapid advancement of three‐dimensional (3D) printing technology, there is still rare research work reported on 3D coronary arteries being documented literature. In this work, application value technology cardiovascular diseases has been explored via comparison study between printed vascular solid model and computer aided design (CAD) model. paper, a framework proposed to achieve with high simulation. The patient‐specific...
The emergence of multi-server authentication key protocol schemes provides a viable environment for users to easily access the services multiple legitimate servers through single registration. Biometric identification technology has characteristics forgery difficulty, duplication difficulty and guess etc. Therefore, it is an indispensable in smart card-based user protocol. There are many shortcomings existing based on biometrics, including leakages biometrics information, card theft attack,...
Critical Heat Flux (CHF) plays a pivotal role in ensuring reliability and safety within boiling two-phase flow systems. Despite the development of numerous CHF prediction tools using conventional empirical correlations, machine learning, deep learning methods, complex mechanisms underlying continue to challenge unified, accurate, robust model. The complexity is further exacerbated by varying experimental dataset developed over decades research. In response these challenges, present study...
Dynamic path planning is one of the key procedures for unmanned aerial vehicles (UAV) to successfully fulfill diversified missions. In this paper, we propose a new algorithm based on ant colony optimization (ACO) and artificial potential field. proposed algorithm, both dynamic threats static obstacles are taken into account generate an field representing environment collision free planning. To enhance searching efficiency, coordinate transformation applied move origin map starting point in...
Feature selection has been applied to the analysis of complex structured data, such as functional connectivity networks (FCNs) constructed on resting-state magnetic resonance imaging (rs-fMRI), for removing redundant/noisy information. Previous studies usually first extract topological measures (e.g., clustering coefficients) from FCNs feature vectors, and then perform vector-based algorithms t-test) selection. However, due use representations, these methods simply ignore important...
Recently, telemedicine has been widely applied in remote diagnosis, treatment and counseling, where the Internet of Things (IoT) technology plays an important role. In process telemedicine, data are collected from medical equipment, such as CT machine MRI machine, then transmitted reconstructed locally three-dimensions. Due to large amount be model small storage capacity, need compressed progressively before transmission. On this basis, we proposed a lightweight progressive transmission...
With the increasing importance of data security, privacy protection has gradually risen to a strategic position, especially IoT protection. The concern for security become national strategy. discovery potential risks is great significance, such as risk leakage, vulnerabilities, etc. In this article, starting from mechanism in Industrial Internet Things (IIoT) scenario, we proposed method based on generative adversarial imitation learning (GAIL) discover IIoT by training agents using large...
Functional connectivity (FC) networks derived from resting-state functional magnetic resonance imaging (rs-fMRI) have been widely used in automated identification of brain disorders, such as Alzheimer's disease (AD) and attention deficit hyperactivity disorder (ADHD). To generate compact representations FC networks, various thresholding methods designed for network analysis. However, these studies usually use a pre-defined threshold or connection percentage to whole thus ignoring the...
With the rapid development of Web3D technologies, sketch-based model retrieval has become an increasingly important challenge, while application Virtual Reality and 3D technologies made shape furniture over a web browser feasible. In this paper, we propose learning framework for based on two Siamese VGG-16 Convolutional Neural Networks (CNNs), CNN-based hybrid algorithm to select best view shape. algorithm, AlexNet CNN architectures are used perform classification tasks extract features,...
The traditional remote sensing image segmentation method uses the same set of parameters for entire image. However, due to objects’ scale-dependent nature, optimal an overall may not be suitable all objects. According idea spatial dependence, kind objects, which have similar scale, often gather in scene and form a scene. Based on this scenario, paper proposes stratified object-oriented analysis based division. This firstly middle semantic can reflect image’s visual complexity classify into...
Artificial stent implantation is one of the most effective ways to treat vascular diseases. However, commonly used metal stents have many negative effects, such as being difficult remove and recover, whereas bio-absorbable become best way diseases because their absorbability harmlessness. It very important in medical imaging, optical coherence tomography (OCT), be able effectively track position blood vessels. This task undoubtedly labor-intensive, it inefficient rely on experts identify...
Electroencephalogram (EEG) is a non-invasive measurement method commonly used to measure human brain electrical activity,It detects weak signals generated by neurons in the cerebral cortex placing electrodes on scalp. These reflect bioelectricity activity of when thinking, perception, emotion, behavior and other activities.It has been brain. The EEG signal can changes waves brain, it widely help doctors diagnose neurological diseases such as motor neurons, Parkinson's disease, spasms. Low...
Similarity between sentences plays an important role in a variety of applications natural language process. The paper proposes novel method to calculate sentence similarity, which takes into account both semantic and syntax: measuring similarity based on events, syntactic content words sequence. Our experimental results show that the is reasonable effective.
With the rapid development of Web Virtual Reality (WebVR) technology, increasing focus has been placed on this domain. WebVR indoor scenario design studies have important value in both academia and industry. However, many bottlenecks still need to be overcome, such as weak computing capacity limited memory space available web browsers. In particular, there are deficiencies virtual scenes, i.e., lack fidelity, low automation poor scene interactability. paper, we propose a novel furniture...
Holography as a true three-dimensional (3-D) technique is thought to be the ultimate display technique. However, dynamic holographic materials still have problems such slow refresh, high applied electrical field, etc., solved realize video-rate 3-D display. We present silver nanoparticles (Ag NPs) doped liquid crystal films with very big birefringence and super-fast hologram refresh speed real-time medium, which can in video And fastest response time of both build-up self-erasure up 0.1 ms,...
In this article, we present a deep learning approach to sketch-based shape retrieval that incorporates few novel techniques improve the quality of results. First, address problem scarcity training sketch data, augmentation method more closely mimics human sketches compared simple image transformation. Our generates from existing data by (i) removing stroke, (ii) adjusting and (iii) rotating sketch. As such, generate large number samples for our neural network. Second, obtain 2D renderings...
With the arrival of Web 2.0 era and rapid development virtual reality (VR) technology in recent years, WebVR has emerged as combination VR. Moreover, concept "WebVR + medical science" is also proposed to advance applications. However, due limited storage space low computing capability browsers, it difficult achieve real-time rendering large-scale vascular models on Web, let alone animation simulations. The framework this paper can display blood vasculum, including lightweight processing...
The video images of road monitoring system contain noise, which blurs the difference between lane and background. detection algorithm based on traditional Canny edge detector hardly detects single-pixel accurately it produces pseudo lane. paper proposes an effective method improved least square fitting. proposed improves dual-threshold selection by using histogram concavity analysis, sets optimal threshold automatically. is used to fit feature points detected edges accurate wide Experimental...
Ontology is more and popular in all kinds of knowledge management system, but the manual acquisition ontologies still remains a tedious, cumbersome task. Meanwhile moving toward semi-automation or automation ontology construction solution. In this paper, we proposed semi-automatic building approach. approach system starts form small core constructed by domain experts learns concepts taxonomic non-taxonomic relations use general WordNet event-based natural language processing technologies...