A5101593581- Advanced Algorithms and Applications
- Energy Efficient Wireless Sensor Networks
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Medical Image Segmentation Techniques
- Indoor and Outdoor Localization Technologies
- Fault Detection and Control Systems
- Advanced Computational Techniques and Applications
- Higher Education and Teaching Methods
- Advanced Software Engineering Methodologies
- Image Retrieval and Classification Techniques
- Underwater Vehicles and Communication Systems
- Advanced Control Systems Optimization
- Microwave Imaging and Scattering Analysis
- Mobile Ad Hoc Networks
- Image and Object Detection Techniques
- Embedded Systems and FPGA Design
- Service-Oriented Architecture and Web Services
- ECG Monitoring and Analysis
- Ultrasonics and Acoustic Wave Propagation
- Simulation and Modeling Applications
- Geophysical Methods and Applications
- Robotic Path Planning Algorithms
- Advanced Decision-Making Techniques
- Software Engineering Research
Northwestern Polytechnical University
2021-2025
Zhongshan Hospital
2025
Fudan University
2025
Sun Yat-sen University
2025
The First Affiliated Hospital, Sun Yat-sen University
2025
Hebei University of Technology
2024
Guangdong University of Technology
2023
Yanshan University
2023
Beijing Institute of Technology
2010-2021
Fujian Normal University
2006-2020
To improve the poor locating performance of DV-Hop algorithm in calculating distance unknown nodes to beacon nodes, we present an improved DV-HOP localization on basis analyzing error nodes' estimated distances and actual distances. This paper mainly focuses two respects: Firstly, average one-hop was modified. Secondly, considering several one-hop, used by each node modified weighting received from nodes. The simulation results show that proposed can estimate accurately increase location precision.
Robot exploration in GPS-denied environments is a significant challenge due to the lack of reliable localization strategies. In this article, we propose dual-layer planning approach with pose SLAM for autonomous robot exploration, which consists local and global planners. The planner uses iteratively built tree generate candidate paths, assesses optimal path using utility function that trades off efficiency accuracy. When unable return admissible engaged search an incrementally graph path,...
Segmentation of retinal blood vessels is significant to diagnosis and evaluation ocular diseases like glaucoma systemic such as diabetes hypertension. The vessel segmentation for small low contrast still a challenging problem. To solve this problem, new method based on cake filter proposed. Firstly, quadrature band called made up in Fourier field. Then the real component fusion used separate from background. Finally, network got by self-adaption threshold. experiments implemented STARE...
In this article, we present a Portable Intelligent ECG Monitor (PIEM) which can be used in Wireless Remote Monitoring System. For the hardware design, Advanced RISC Machines (ARM) as well Application Specific Integrated Circuit (ASIC), GSM/GPRS and NAND Flash technologies is adopted. As for software implementation, real-time kernel called muC/OS-II some related application programs were developed, among an efficient robust on-line interpretation algorithm included. A prototype of device...
In wireless sensor network, the initial energy and balance of consumed each node play a key role in lifetime stability network. this paper, an Energy-Balanced Chain-cluster Routing Protocol (EBCRP) for network is presented its properties are investigated also. The core point EBCRP forming several chain-clusters stage, which based on ladder algorithm. addition, number nodes as candidate cluster head selected taken turns by restriction to communicate with Base Station (BS). Simulation result...
In research of Optimization performance wireless sensor networks to improve anti-attack capability, key management is an important security issue be solved. Due the severe restriction on resources and work environment, classic distribution algorithms are not suitable for networks. Aiming capability feasibility networks, after considering issues network security, traffic problems, memory problems computational complexity problem, this paper proposes a scheme based grouping within cluster...
A configurable business process model (sometimes referred to as a reference model) may be configured meet the specific requirements of an organization. The configuration activity is required automatically determine variability and ensure correctness model. However, few approaches solve problem. In this paper, we propose innovative approach for separating into atomic correct sub-process models (sub-process without abnormal behavioral problems). that fulfill are merged provided organizations....
Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses. However, drawback of prolonged scan times hinders accessibility. The k-space undersampling offers solution, yet resultant artifacts necessitate meticulous removal during image reconstruction. Although Deep Learning (DL) has proven effective fast MRI reconstruction, broader applicability across various scenarios...
Abstract The accurate extraction of weak signal features under strong noise background plays a crucial role in the fault detection rolling bearings. In order to promote ability stochastic resonance (SR) system detect signals and improve output performance system, multi-system coupled cascaded SR (MCCSR) is investigated applied Firstly, MCCSR constructed by exploiting positive synergistic effect between multiple systems, which consists triangular-topology composed three subsystems with...
The primary energy and balance of consumption wireless sensor networks (WSNs) plays a key role in network lifetime stability. However, the each node total are limited. In this paper, an Efficient Energy Cluster-based Routing Protocol (EECRP) for is presented its properties investigated. Its core that using uneven clustering method to organize topology Particle Swarm Optimization (PSO) algorithm optimize clusters, which can settle problem hot spot blind nodes, separately. Simulation results...
The paper proposes improved S-transform (IST) to detect and classify power quality (PQ) disturbances with time-domain analysis. First, the theory of (ST) is introduced. To enhance analytic ST in different non-stationary signal processing, IST achieved by adding an adjustable factor Gaussian window function normal ST. adjusted changes velocity which width varies inversely frequency. possesses time-frequency resolution higher practicability adaptability than actual application. analysis...
Fuzzy C-means clustering (FCM) algorithm is good at solving the ambiguities and uncertainties in image, modified FCM has been widely used intensity inhomogeneity problem. Bias-corrected (BCFCM) very useful for noise image segmentation, but it can't estimate accurately pixels on boundary especially regions with heavy level of inhomogeneous. In this paper, we present a novel brain magnetic resonance imaging (MRI) Image segmentation estimation based BCFCM. The proposed introduces global...
Geometry-based localization algorithms come to the forefront with its unique superiority. This paper proposes a Delaunay triangulation based scheme (DBLS), which takes use of received signal strength indicator(RSSI) from anchor nodes. Based on RSSI, area is generated. The unknown node determines it belongs and then record down. After several iteration, overlapping region all areas identified as possible where sensor resides in. By fixing area, we restrains influence noise result. simulation...
High-resolution ground-penetrating radar multiview-multistatic diffraction-tomographic (DT) imaging usually requires the wide signal bandwidth and large antenna aperture, which results in great amount of data. To solve aforementioned problem, an innovative 2-D DT algorithm based on multitask Bayesian compressive sensing (MT-BCS) strategy is proposed this letter. The reduction measurement data can be achieved by performing a reduced set measurements frequency domain. In particular, joint...
Coverage control is a basic research problem in wireless sensor networks (WSNs). This paper proposes distance optimization based coverage algorithm, which utilizes ant colony algorithm to place nodes an appropriate position and optimize the moving path of mobile nodes. The proposed not only guarantees biggest networks, but also reduces node distance, saves energy prolongs entire network lifetime. Simulation results prove its validity.