- Indoor and Outdoor Localization Technologies
- Semantic Web and Ontologies
- Usability and User Interface Design
- Service-Oriented Architecture and Web Services
- Business Process Modeling and Analysis
- Speech and Audio Processing
- Sparse and Compressive Sensing Techniques
- Underwater Vehicles and Communication Systems
- Advanced Database Systems and Queries
- Team Dynamics and Performance
- Remote-Sensing Image Classification
- Prostate Cancer Diagnosis and Treatment
- Natural Language Processing Techniques
- Energy Efficient Wireless Sensor Networks
- Advanced Neural Network Applications
- AI in cancer detection
- Face recognition and analysis
- Gait Recognition and Analysis
- Distributed Sensor Networks and Detection Algorithms
- Personal Information Management and User Behavior
- Collaboration in agile enterprises
- Mobile Agent-Based Network Management
- Face and Expression Recognition
- Advanced Graph Neural Networks
- Robotics and Sensor-Based Localization
Zhejiang Gongshang University
2025
Ocean University of China
2024-2025
Nanjing University of Posts and Telecommunications
2016-2024
Shanghai Fire Research Institute
2019-2021
Northeast Petroleum University
2009-2020
Northwest Women's and Children's Hospital
2018
Xi'an Jiaotong University
2018
Nanjing Tech University
2018
Northwestern Polytechnical University
2016
Nanjing University
2011
A pyrolyzed polyacrylonitrile/sulfur nanocomposite (SPAN) was used as a positive electrode material for room temperature K-S battery operated in carbonate electrolyte. SPAN presented high reversible capacity of 270 mA h g-1 (710 gsulfur-1) and excellent rate performance, which demonstrate that it is promising K-ion K-batteries.
A novel study on monitoring and analysis of the debilitating condition patients suffering from neurological disorder is presented. Parkinson's disease characterized by limited motor ability a patient. Freezing gait major nonmotor among aging its evaluation can reduce chances any secondary disorders. In this paper, amplitude phase information radio signals observed for fixed period time are used to differentiate symptoms. The classified using support vector machine, while linear...
Medical healthcare is one of the fascinating applications using Internet Things (IoTs). The pervasive smart environment in IoTs has potential to monitor various human activities by deploying devices. In our pilot study, we look at narcolepsy, a disorder which individuals lose ability regulate their sleep-wake cycle. An imbalance brain chemical called orexin makes sleep pattern irregular. This patients suffering from narcolepsy results them experience irrepressible episodes while performing...
Accurately extracting lesions from medical images is a fundamental but challenging problem in image analysis. In recent years, methods based on convolutional neural networks and Transformer have achieved great success the segmentation field. Combining powerful perception of local information by CNNs efficient capture global context crucial for segmentation. However, unique characteristics many lesion tissues often lead to poor performance most previous models failed fully extract effective...
Cerebellar dysfunction (CD) is a neurological disorder that involves number of abnormalities affect the movement various parts body such as gait abnormality or tremors in limbs hands feet while reaching out for something. A user-friendly tool can objectively evaluate aforementioned movements CD patients aid clinicians an objective assessment clinical settings. The this paper to develop method quantifies and hand using S-band sensing technique. essentially leverages small wireless devices...
In the process of indoor localization, existence non-line sight (NLOS) error will greatly reduce localization accuracy. To impact this error, a 3 dimensional (3D) algorithm named LMR (LLS-Minimum-Re-sidual) is proposed in paper. We first estimate NLOS and use it to correct measurement distances, then calculate target location with linear least squares (LLS) solution. The final nodes can be obtained accurately by mitigation. Our work efficiently both 2D 3D environments. simulation results...
The automatic and accurate segmentation of the prostate cancer from multi-modal magnetic resonance images is prime importance for disease assessment follow-up treatment plan. However, how to use image features more efficiently still a challenging problem in field medical segmentation. In this paper, we develop cross-modal self-attention distillation network by fully exploiting encoded information intermediate layers different modalities, generated attention maps modalities enable model...
One important facet of current hypertext research involves using knowledge-based techniques to develop and maintain document structures. A semantic net is one such technique. However, most semantic-net-based systems leave the linking consistency individual users. Users without guidance may accidentally introduce structural relational inconsistencies in nets. The inconsistency hinders creation domain information models. leads unstable documents, especially when a composed by computation with...
Prostate cancer is one of the most prevalent cancers among men. Early detection this could effectively increase survival rate patient. In paper, we propose a Bi-attention adversarial network for prostate segmentation automatically. The proposed architecture consists generator and discriminator network. aims to generate predicted mask input image, while further improve performance with learning by discriminating true label mask. For better improving performance, combine two attention...
The demand for accurate indoor localization has become more and urgent in location-based services (LBS). Since the traditional is based on a single fingerprint, which susceptible to environmental changes, it hard obtain high accuracy. In order fill this gap, we propose new multiple fingerprints method used environment without extra measurement, can reduce uncertainty caused by fingerprint. are signal Subspace received strength index (RSSI) others, where represents characteristic...
As an important branch of Nature Language Processing (NLP), how to extract useful text information and effective long-range associations has always been a bottleneck for classification. With the great effort deep learning researchers, Convolutional Neural Networks (CNNs) have made remarkable achievements in Computer Vision but still controversial NLP tasks. In this paper, we propose novel CNN named Deep Pyramid Temporal Network (DPTCN) short classification, which is mainly consisting...
Hyperspectral image (HIS) classification is a hot topic in remote sensing community and most of the existing methods extract features original data using shallow layer networks such as neural network (NN) support vector machine (SVM). As deep learning recently achieves great success pattern recognition area for its ability feature extraction representations, two i.e. convolutional (DCN) belief (DBN) have been used hyperspectral better results achieved. Differing from those HSI...
With the rise of location-based services and rapidly growing requirements related to their applications, indoor localization based on channel state information–multiple-input multiple-output (CSI-MIMO) has become an important research topic. However, CSI-MIMO some disadvantages, including noise high data dimensions. To overcome above drawbacks, we proposed a novel method CSI-MIMO, named SICD. For SICD, fingerprint was first designed which can reflect time–frequency space–frequency...
Article Free Access Share on Flexible coordination with cooperative hypertext Authors: Weigang Wang GMD - German National Research Center for Information Technology, IPSI Integrated Publication and Systems Institute, Dolivostraβe 15, D-64293 Darmstadt, Germany GermanyView Profile , Jörg M. Haake Authors Info & Claims HYPERTEXT '98: Proceedings of the ninth ACM conference Hypertext hypermedia : links, objects, time space---structure in systems: systemsMay 1998Pages...
The Web has been widely used as a platform for asynchronous collaboration. However, based synchronous groupware are still rare, especially those using standard browser front-end. In this demonstration, system built on GWT and AJAX Push technology will be presented. provides common foundation developing applications that consist of set tools various specific collaborative activities. It not only desktop-application like user experience within browser, but also retains the with link following...
With the increasing demand of location-based services, neural network (NN)-based intelligent indoor localization has attracted great interest due to its high accuracy. However, deep NNs are usually affected by degradation and gradient vanishing. To fill this gap, we propose a novel system, including denoising NN residual (ResNet), predict location moving object channel state information (CSI). In ResNet, prevent overfitting, replace all blocks stochastic blocks. Specially, explore long-range...
The Web has been widely used as a platform for asynchronous collaboration. However, based synchronous groupware are still rare, especially those using standard browser front-end. From technical and social protocol co-evolution perspective, this work examines the evolution proposes an AJAX approach to creating that may offer rich user experience. objective of is make creation adoption such easier, so collaboration integral part support on Web. Indirect evidence provided show offers practical...