A5100718347- Advanced SAR Imaging Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Decision-Making Techniques
- Biomedical Text Mining and Ontologies
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Topic Modeling
- Terahertz technology and applications
- Advanced Sensor and Control Systems
- Radar Systems and Signal Processing
- Advanced Computational Techniques and Applications
- Semantic Web and Ontologies
- Underwater Acoustics Research
- Microwave Imaging and Scattering Analysis
- Advanced Adaptive Filtering Techniques
- Bioinformatics and Genomic Networks
- AI in cancer detection
- Wireless Signal Modulation Classification
- Text and Document Classification Technologies
- Distributed Sensor Networks and Detection Algorithms
- Digital Radiography and Breast Imaging
- Advanced Algorithms and Applications
- Advanced Measurement and Detection Methods
- Superconducting and THz Device Technology
- Microwave Engineering and Waveguides
- Advanced Image Fusion Techniques
China Meteorological Administration
2022-2023
Hunan Institute of Technology
2021
Shenzhen University Health Science Center
2019
National University of Defense Technology
2003-2018
Mayo Clinic
2015
Mayo Clinic in Arizona
2015
University of Massachusetts Chan Medical School
2014
The University of Sydney
2013
China National Petroleum Corporation (China)
2013
Dalian Minzu University
2011
This paper analyzes the influence of typical target micromotions on synthetic aperture radar (SAR) images, azimuth resolution limit, SAR/ground moving indication (GMTI), and MTI. According to micromotion periods contained in coherent processing interval, a new range model expansion generalized paired echo principle are proposed applied underlie analysis. Several kinds image characteristics including gray strips, ghost points, fences reported, which sheerly distinct from those slow movers....
Gene ontology (GO) annotation is a common task among model organism databases (MODs) for capturing gene function data from journal articles. It time-consuming and labor-intensive task, thus often considered as one of the bottlenecks in literature curation. There growing need semiautomated or fully automated GO curation techniques that will help database curators to rapidly accurately identify information full-length Despite multiple attempts past, few studies have proven be useful with...
(±)-Lucidumone (1), an enantiomeric meroterpenoid possessing unprecedented skeleton comprising a fused 6/5/6/6/5 polycyclic system, was isolated from Ganoderma lucidum and structurally identified. The absolute configuration of (−)-1 assigned by single-crystal X-ray crystallography. A plausible biosynthetic pathway for 1 is proposed. chemical biology approach reveals that selectively inhibits COX-2 directly binding with amino acid residue Tyr385, representing new structure scaffold inhibitors.
This paper offers a compacted mechanism to carry out the performance evaluation work for an automatic target recognition (ATR) system: (a) standard description of ATR system’s output is suggested, quantity indicate operating condition presented based on principle feature extraction in pattern recognition, and series indexes assess different aspects are developed with application statistics; (b) system interpreted by quality factor knowledge engineering mathematics; (c) through novel utility...
Clinical natural language processing (NLP) has become indispensable in the secondary use of electronic medical records (EMRs). However, it is found that current clinical NLP tools face problem portability among different institutes. An ideal solution to this cross-institutional data sharing. legal enforcement no revelation protected health information (PHI) obstructs practice even with availability state-of-the-art de-identification tools. In paper, we investigated a frequency-filtering...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> The range Doppler algorithm (RDA) is based on Taylor series expansion for the transfer function (TF) phase component, resulting in increasing error as frequency or squint angle increases. We introduce Legendre orthogonal polynomials into synthetic aperture radar data processing steps to replace used approximating TF phase. A novel imaging approach addressed with an extended RDA example, and...
This paper presents a SAR raw data simulation approach using the inverse frequency scaling algorithm (IFSA) based on deramp processing. It is time-saving and can take motion error into account. The limitation of chirp (ICSA) transmitted waveforms also overcome. Simulated results show validity algorithm.
The radar cross-section (RCS) measurements for cylinders with different surface roughness have performed in the terahertz bands. system has 220 and 440 GHz carrier frequencies. It is a solid-state whose base band signal generated by phasor network analyser. original recorded data are calibrated results of smooth cylinder. These RCS compared calculated results. experiments suggested that targets rough will provide complicated scattering terahertz. this experiment can prove target certain...
The aim of this study is to examine the impact breast density and lesion location on detection. A set 55 mammographic images (23 abnormal with 26 lesions 32 normal images) were examined by 22 expert radiologists. classified an radiologist according Synoptic Breast Imaging Report National Cancer Centre (NBCC) as having low (D1<25% glandular D2> 25-50% glandular) or high (D3 51-75% D4> 75-glandular). observers freely located any malignancy using a 5-point confidence. Performance was...
In a collaborative sensor network (CSN), the conventional target tracking algorithms employed are Kalman filtering (KF) or extended (EKF). However, these techniques have presumed probability distribution of system noise and prediction noise. They also need some priori information that may be unavailable in circumstances. Therefore, is not flexible for complicated scenario. With help machine learning technique called expert (EP), novel approach CSNs developed. This scheme makes use...
A theoretical study is presented for a simple linear classifier called reference distance estimator (RDE), which assigns the weight of each feature j as P(r|j)-P(r), where r relevant to target class y. The analysis shows that if performs better than random guess in predicting y and conditionally independent with j, RDE will have same classification performance from P(y|j)-P(y), trained gold standard Since estimation P(r|j)-P(r) does not require labeled data, under assumption above, large...
Target micromotion not only plays an important role in target recognition but also leads to esoteric characteristics synthetic aperture radar (SAR) imaging. This paper finds out interesting phenomenon, i.e. the angular extent effect, images formulated by polar format algorithm. A takes on multiple pairs of paired echoes (PEs) around true point, and each PE extends for angle which is exactly equal aperture, regardless frequency. The effect derived interpreted using Bessel functions. Then it...
The extended Kalman filter (EKF) is the nonlinear model of a (KF). It useful parameter estimation method when observation and/or state transition not linear function. However, computational requirements in EKF are difficulty for system. With help cognition-based designation and Taylor expansion method, novel algorithm proposed to ease load azimuth predicting localizing under model. When there functions inverse calculations matrices, this makes use major components (according current...
Based on the principle of cognitive radar, this paper proposes a waveform diversity method to resolve passive false target jamming. Different signal leads different one-dimensional scattering centers ship and target, presented focuses measuring jamming Distinction Degree (DD). Using as adaptive criterion according selected optimal for anti-passive Finally, recognition rate, verified waveform.
Currently, broad-band radar cross-section (RCS) measurement in terahertz (THz) range has become one of the highlights discipline radar. However, problems wideband RCS measurement, such as weak illumination power, low signal to noise ratio (SNR) and unstable microwave source, have largely limited development herein. As a solution mentioned above, we constructed 440 GHz system employing performance network analyzer (PNA) generate baseband signals. The signals this perform more robust...
Radar is a very important sensor in surveillance applications. Near-space vehicle-borne radar (NSVBR) novel installation of system, which offers many benefits, like being highly suited to the remote sensing extremely large areas, having rapidly deployable capability and low vulnerability electronic countermeasures. Unfortunately, target detection challenge arises because complicated scenarios, such as nuclear blackout, rain attenuation, etc. In these cases, extra care needed evaluate...
High mammographic density is a risk factor for breast cancer. As it impossible to measure actual weight or volume of fibroglandular tissue evident within mammogram, hard know the correlation between measured and volume. The aim this study develop phantom that represents glandular an adipose structure so correlations image feature descriptors synthesised can be accurately quantified. In study, ten different weights fine steel wool were put into gelatine simulate structure. Image are...
In this paper, a novel interactive multiple model particle fllter (IMMPF) is developed after Bayesian estimator for maneuvering target tracking in clutter derived theoretically. new algorithm, base state estimation and modal are completely separated to control the number of particles each mode. Only continuous-valued used numerically implement procedure estimation, whereas estimated analytically without dependence on particles. Density mixing performed by aggregation total associated...
Knowledge about protein-protein interactions unveils the molecular mechanisms of biological processes. This paper presents a multiple kernels learning-based approach to automatically extracting from biomedical literature. Experimental evaluations show that our can achieve state-of-the-art performance with respect comparable evaluations, 64.88% F-score and 88.02% area under receiver operating characteristics curve (AUC) on AImed corpus.