- GNSS positioning and interference
- Ionosphere and magnetosphere dynamics
- Robotics and Sensor-Based Localization
- Advanced Frequency and Time Standards
- Network Security and Intrusion Detection
- Radiative Heat Transfer Studies
- Satellite Communication Systems
- Advanced Image and Video Retrieval Techniques
- Inertial Sensor and Navigation
- Calibration and Measurement Techniques
- RFID technology advancements
- Power Systems and Technologies
- Wireless Communication Networks Research
- Indoor and Outdoor Localization Technologies
- Advanced Computational Techniques and Applications
- Network Packet Processing and Optimization
- Infrared Target Detection Methodologies
- Seismology and Earthquake Studies
- Structural Health Monitoring Techniques
- Radar Systems and Signal Processing
- Spacecraft Dynamics and Control
- Geophysics and Gravity Measurements
- Energy Efficiency and Management
- Wireless Signal Modulation Classification
- Selenium in Biological Systems
China University of Petroleum, East China
2024
University of Electronic Science and Technology of China
2024
Tsinghua University
2012-2023
Shanghai Institute of Technical Physics
2022-2023
Changchun University of Science and Technology
2022
Fudan University
2022
Tianjin University of Technology and Education
2020
Beihang University
2018
Institute of Computing Technology
2018
Xi'an Aeronautical University
2018
One of the key problems that should be solved is collision between tags which lowers efficiency RFID system. The existed popular anti-collision algorithms are ALOHA-type and QT. But these methods show good performance when number to read small not dynamic. However, large dynamic, recognition very low. A novel approach mapped correlation ID for has been proposed solve problem in this paper. This method can increase association so send their own under certain trigger conditions, by ID,...
The field of multimodal medical image fusion has made huge progress in the past decade. However, previous methods always suffer from color distortion, blurring, and noise. To address these problems, we propose a novel Laplacian redecomposition (LRD) framework tailored to this article. proposed LRD two technical innovations. First, present decision graph decomposition scheme with enhancement obtain complementary information, redundant low-frequency subband images. Second, considering...
Packet classification is a fundamental enabling function for various applications in switches, routers and firewalls. Due to their performance scalability limitations, current packet solutions are insufficient ad-dressing the challenges from growing network bandwidth increasing number of new applications. This paper presents scalable parallel architecture, named Para Split, high-performance classification. We propose rule set partitioning algorithm based on range-point conversion reduce...
In this paper we propose a SLAM framework which is based on an algorithm that combines unscented particle filter (UPF) and Kalman filters (UKFs). A UPF used to estimate robot's poses the UKFs are represent landmark positions. can robot more consistently accurately than generic (PFs), especially when models highly non-linear or noises not Gaussian. UKF update landmarks compared popular EKF's observation used. addition, our avoids calculation of Jacobian for both motion model model, could be...
In the indoor environment, reinforced concrete structure in building easily shields satellite signals, which makes it unable to provide effective real-time positioning information, greatly limits function implementation of drone special environments such as indoor. An navigation system based on LIDAR is used solve problem structures blocking signals. this paper, a sensor sense environment. Synchronous and mapping algorithms are information. The separated from dependence finally realizes...
To guarantee the integrity of a global navigation satellite system (GNSS) for safety-critical users, satellite-based augmentation (SBAS) makes use monitoring architecture, which signal quality monitor (SQM) is an important component to address potential risks caused by satellite-induced anomalies. Due introduction dual-frequency multi-constellation (DFMC) techniques in 2025, ranging uncertainty will be reduced elimination first-order ionospheric delay, but biases measured each individual...
We introduce the direct linear triangulation (DLT) as a general technique for delayed feature initialization bearing-only visual simultaneous localization and mapping (SLAM). Visual features are tracked over multiple frames, is performed to recover three-dimensional landmark position. The unscented transform used estimate covariance matrix. Our previous work in this field extended with novel usage of DLT, well incorporating observation information from current SLAM map into process,...
The misreading problem of a passive ultra-high-frequency (UHF) radio frequency identification (RFID) tag is frequent arising in the field librarianship. Unfortunately, existing solutions are something inefficient, e.g., extra resource requirement, inaccuracy, and empiricism. To this end, under comprehensive analysis on UHF RFID application librarianship scenario, novel judicious approach based localization proposed to address such problem. Extensive simulation results show that can...
Network virtualization has become a promising paradigm for supporting diverse vertical services in Software Defined Networks (SDNs). Each service is carried by virtual network (VN), which normally chaining structure. In this way, Service Function Chain (SFC) composed an ordered set of functions (VNFs) to provide tailored services. Such new programmable flexibilities future networks also bring management challenges: how collect and analyze measurement data, further predict diagnose the...
<h3>Abstract</h3> Signal quality monitoring (SQM) is a technique utilized by satellite- and ground-based augmentation systems (SBAS/GBAS) to detect potential hazardous deformations in signals better protect integrity for safety-critical users. The next generation of SBASs will incorporate dual-frequency multi-constellation (DFMC) techniques, which SQM particularly important since signal might be the largest source uncertainty ranging error after first-order ionospheric delays are eliminated....
Security of embedded system is widely noticed for its common usage and open application environment. A hardware-assisted monitoring architecture based on lightweight hash function proposed to detect run-time program integrity the processor. The fine-grained property information extracted as verification object, hashed by model. hardware implemented an SoPC platform. Take five standard benchmarks experimental objects, experiments show that monitor accounts less than 8.37% area overheads...
Spoofed noisy speeches seriously threaten the speech-based embedded systems, such as smartphones and intelligent assistants. Consequently, we present an anti-spoofing detection model with activation-based residual blocks to identify spoofed requirements of high accuracy low time overhead. Through theoretic analysis noise propagation on shortcut connections traditional blocks, observe that different activation functions can help reducing influence under certain situations. Then, propose a...
The thickness of the bound water film within porous media significantly impacts extraction difficulty during injection process for developing hydrophilic reservoirs. In order to gain a comprehensive understanding pivotal factors that influence formation in and their respective degrees influence, this paper employs capillary bundle model as basis analysis. examination commences with an analysis fluid forces tubes. Subsequently, relationship between aforementioned is investigated through...
Evil waveforms (EWFs) could be considered as anomalous signals from the analog and/or digital signal generating hardware on board with imperfections or failures, and might introduce hazardous misleading information (HMI) to users. Since first observed EWF occurrence, i.e. SVN-19 Event in 1993 [1], a series of techniques called quality monitoring (SQM) have been developed implemented currently running SBAS’s. Conventional SQM, represented by SQM2b, was based multicorrelator detection...
Signal-induced elevation-dependent (SIED) ranging biases have been observed with GPS SVN-49 and BDS-II signals. Several means models of compensating this SIED bias proposed for standalone positioning, while a satellite-based augmentation system (SBAS) exposed to an unexpected anomalous signal, the wide-area differential (WAD) process will be invalid or even worsen conventional architecture signal quality monitoring (SQM) might confused let evade detections. This paper clarifies potential...
Network intrusion prevention system (NIPS) becomes more complex due to the rapid growth of network bandwidth and requirement security. However existing solutions, either hardware-based or software-based cannot obtain a good tradeoff between performance flexibility. In this paper, we propose parallel NIPS architecture using emerging services processor. To resolve problems bottlenecks high-speed processing, investigate main design aspects which have dramatic impacts on most security...
Thioredoxin h (Trxh) is a small protein catalyzing thiol-disulfide interchange, which involved in many processes, such as activation or deactivation of enzymes and enzyme inhibition germination.Wheat pre-harvest sprouting caused by series hydrolyses, α-amylase plays key role.The anti-trxs gene has been transferred into wheat (Triticum aestivum L.) cultivars "Yumai 18" 34" since 2003 to decrease Trxh reductive capability activity seed.From the T 4 generations, two transgenic lines, TY18 TY34...
Vibration isolation system is widely used in various engineering fields. The efficiency of vibration depends on its structural parameters. In this study, an improved fruit fly optimization algorithm put forward for the parametric optimal design system. With isolator parameters as variables, encoding scheme individuals, smell concentration judgment value function are introduced. order to enhance search and keep diversity solutions, adaptive smell-based vision-based with random perturbation...