- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Statistical Process Monitoring
- Global Maternal and Child Health
- Advanced Data Compression Techniques
- Fault Detection and Control Systems
- Digital Media Forensic Detection
- Energy Efficient Wireless Sensor Networks
- Advanced Steganography and Watermarking Techniques
- Image and Video Stabilization
- Imbalanced Data Classification Techniques
- Value Engineering and Management
- Maternal and Perinatal Health Interventions
- Advanced Nanomaterials in Catalysis
- Bone health and treatments
- Bone health and osteoporosis research
- Advanced Measurement and Detection Methods
- Innovation Diffusion and Forecasting
- Advanced Statistical Methods and Models
- Advanced Machining and Optimization Techniques
- Differential Equations and Boundary Problems
- Optimal Experimental Design Methods
- Evolutionary Algorithms and Applications
Nanjing University of Science and Technology
2011-2024
Zhejiang University
2021-2024
Weifang University
2021
University of Science and Technology Liaoning
2021
Liaoning University
2021
Zhengzhou University of Light Industry
2019
Beijing Aerospace Flight Control Center
2018
Intel (United States)
2017
Fudan University
2015
Fuzhou University
2014
A reversible watermarking algorithm with high data-hiding capacity has been developed for electrocardiogram (ECG) signal based on wavelet transforms. In signal, the energy is concentrated in QRS complex waves. So selection of coefficients hiding should avoid making waves distort obviously. The hides bits expansion selected frequency sub-band Harr transform lifting scheme. Due to a slightly modification non waves, imperceptibility embedded watermark ECG well guaranteed. performance evaluated...
In order to solve the problems of low efficiency and long running time caused by traditional Zernike moment method for convolution calculation whole image, this paper combines canny detection algorithm with method. First, edge algorithm, which combined Otsu threshold method, is used extract pixel image. Then an improved Hough transform fit geometric in Based on this, applied realize sub-pixel positioning images. The improves deficiencies direct detection, improving accuracy reducing time. To...
We present a bidirectional transformer network to exploit the long-range informative dependency both in temporal and spatial domains for video deblurring. Motivated by fact that optical flow is related latent frames rather than blurry ones degradation process, we first develop pre-deblur module generate initial so can use these estimate better exploring information. Then propose an effective explore information, where it aggregates information of whole sequence through backward forward...
Wireless sensor networks consist of a large number nodes that have low power and limited transmission range can be used in various scenario. The deployed the long narrow region, such as road, bridge, tunnel pipeline, to get some interesting information. linear topology these network application is different other special feature, multi-hop, delay, distance reliability. This paper introduces concept wireless discusses classification key issue this network. network, pipeline presented....
Omnidirectional (or "360 degree") video, representing a panoramic view of spherical 360° ×180° scene, can be encoded using conventional video compression standards, once it has been projection mapped to 2D rectangular format. Equirectangular format is currently used for mapping 360 degree representation coding HEVC/JEM. However, in the top and bottom regions image, corresponding "north pole" "south representation, significantly warped. We propose perform rotation input prior HEVC/JEM...
In this article, an instance-based naive Bayes (INB) method is proposed to interpret out-of-control signals. By training one for classifier, considers the similar features between test instance and instances. For three benchmark examples with small number of variables, experimental results show that INB outperforms all techniques in overall average performance; cases more than two performs better most scenarios. large can be applied practical problems. This research indicates very...
A novel tetranuclear copper complex (TCC) has been successfully synthesized and characterized using high resolution mass spectrometry (HRMS), Fourier transform infrared spectroscopy (FTIR) X-ray single crystal diffraction technique. TCC was capable of triggering by Glutathione (GSH) to produce Cu (Ⅰ), then the resulted (Ⅰ) further converted overexpression endogenous H2O2 into •OH, a highly cytotoxic reactive oxygen species (ROS), thereby killing cancer cells. showed cytotoxicity 4T1, MCF7,...
Most researches treated anomalies as deviations in the overall traffic volume. However, not all of network incidents result significant volume change. Feature-based analysis enables detection that are difficult to isolate In order accurately detect anomaly, this paper proposes a methodology based on Exponentially Weighted Moving Average (EWMA). It utilizes feature entropy convenient summary statistic for distribution's tendency be concentrated or dispersed. Then, it predicts normal by and...
Electrical discharge machining (EDM) is an effective method to process micro-hole for electrically conductive materials regardless of the hardness. However, accuracy and cost are greatly affected by EDM parameters, which slight fluctuations in actual process. In view this, reliability-based design optimization (RBDO) introduced balance electrode wear aperture gap when unavoidable uncertainties considered. Kriging model trained inherited Latin hypercube (ILHD) expected feasibility function...
<sec> <title>BACKGROUND</title> Due to the improvement of living standards and aging population, medical health field has attracted much attention.Among them, nutrition management become focus domestic research.Nowadays,with rapid development Internet, developers have developed wechat mini programs aimed at improving monitoring nutritional status individuals. However, there been insufficient scientific evaluation functionality quality various applets that emerged on market. </sec>...
Video deblurring is a challenging task since the blur caused by camera shake, object motions, etc. The success of state-of-the-art methods stems mainly from exploiting temporal information neighboring frames through alignment. When there exists occlusion among sequence, these approaches become less effective for inaccurate In this paper, we propose an occlusion-aware network to handle video deblurring. proposed module first generates coarse pixel-wise alignment filter explore and then learns...
Linear wireless sensor networks are characterized by a linear topology and multihop forwarding patterns. Sensors closer to the base station usually required forward large amount of traffic for sensors farther from station, leading environment cannot be effectively monitored. The energy consumption balance is achieved in paper adjusting distance between nodes. nodes near become short because they have more traffic. node deployment converted optimization problems distribution network lifetime...
Purposes: This article presents a recent research into megaproject sustainability with particular focus on identifying structure of its body knowledge so as to establish the methodology assessment (MAS), which consists roadmap toward and system reliability analysis. In response topic “Reviews for Advanced Construction Management” at Frontiers in Built Environment , this aims make contribution description about generic approach conducting literature review based whole range relevant evidence...
The power grid investment is affected by natural, economic, policy and many other uncertain factors.Long development cycle large-scale funds are needed the investment.Therefore, risk management an important element in process of investment.In this paper, sale price, quantity, purchase price asset liability ratio analyzed.Logistic theory used to build evaluation model investment.Case study suggests that efficient method fit projects, which can deal with factors evaluate projects.
Parameter estimation is an important problem in engineering and scientific research. To some systems,there no way can be found to get the real values of their parameters. For advantages including self-organize, developmental search, self-fitness etc, intelligent algorithms have been given solve these problems, such as GA, PSO, ACO etcs. Differntial Evolution effective tool for solving global optimization has used fields. This paper proposes a novel DE algorithm (DPDE) with double populations...
Pre-/post-processing filters obtained from lapped transforms achieve higher coding efficiency by exploiting transform block boundary correlation. Existing approaches however do not explicitly consider the impact of pre-filtering on prediction efficiency, thereby resulting in a lower overall rate-distortion performance. We present framework where are designed with an objective function based model. The post-filter is constructed so as to reverse pre-filter processing at decoder. show how...