A5080895253- Chaos-based Image/Signal Encryption
- Chaos control and synchronization
- Advanced Steganography and Watermarking Techniques
- Software Engineering Research
- Cellular Automata and Applications
- Mathematical Dynamics and Fractals
- Advanced Algorithms and Applications
- Vehicle Dynamics and Control Systems
- Computational Geometry and Mesh Generation
- Radio Frequency Integrated Circuit Design
- Software System Performance and Reliability
- Software Reliability and Analysis Research
- Nonlinear Dynamics and Pattern Formation
- Complex Network Analysis Techniques
- Software Testing and Debugging Techniques
- Advanced Malware Detection Techniques
- Data Management and Algorithms
- Power Systems and Technologies
- Neural Networks Stability and Synchronization
- Opinion Dynamics and Social Influence
- Advanced Computational Techniques and Applications
- Photonic and Optical Devices
- Electric and Hybrid Vehicle Technologies
- Error Correcting Code Techniques
- Full-Duplex Wireless Communications
Northeastern University
2016-2025
Wuhan University of Science and Technology
2012-2025
Lanzhou Petrochemical Polytechnic
2024
China Electric Power Research Institute
2013-2024
University of Electronic Science and Technology of China
2022-2024
Alibaba Group (United States)
2024
State Nuclear Power Technology Company (China)
2024
Institute of New Materials
2024
University of California, Davis
2010-2023
State Grid Corporation of China (China)
2019-2023
In this paper, we propose a novel algorithm for fast single image super-resolution based on self-example learning and sparse representation. We an efficient implementation the K-singular value decomposition (SVD) algorithm, where replace exact SVD computation with much faster approximation, employ straightforward orthogonal matching pursuit which is more suitable our proposed self-example-learning-based reconstruction far fewer signals. The patches used dictionary are efficiently sampled...
An active fault-tolerant control (AFTC) system is proposed in this paper for electric vehicles with independently driven in-wheel motors (IWMs). It comprises a baseline controller, set of reconfigurable controllers, fault detection and diagnosis (FDD) mechanism, decision mechanism. The which actually passive applied to accommodate actuator faults stabilize the faulty vehicle when occurs. After detected estimated by FDD proper controller switched ON achieve optimal postfault performance....
In this paper, we propose a refined term frequency inversed document (TF-IDF) algorithm called TA TF-IDF to find hot terms, based on time distribution information and user attention. We also put forward method generate new terms combined which are split by the Chinese word segmentation algorithm. Then, extract news according grouping them into K-means clusters so as realize detection of topics in news. The experimental results indicated that our can effectively.
Circulating tumor cells (CTCs) derived from primary tumors and/or metastatic are markers for prognosis, and can also be used to monitor therapeutic efficacy recurrence. CTCs enrichment screening automated, but the final counting of circulating currently requires manual intervention. This not only participation experienced pathologists, easily causes artificial misjudgment. Medical image recognition based on machine learning effectively reduce workload improve level automation. So we use...
This paper presents the results of a comprehensive study on heavy-duty vehicle (HDV) roll stability improvement technology. The proposed rollover threat warning system uses real-time dynamic model-based time-to-rollover (TTR) metric as basis for online detections. Its feasibility implementation in HDV detection is demonstrated through simulation studies. research development further enhanced combination with an active control using suspension mechanism to improve trucks' both static...
This paper presents a trip-oriented energy management control strategy for plug-in hybrid electric vehicle (PHEV). The proposed provides system optimization and methods to improve real-world fuel economy (FE) by optimizing the power demand distribution between battery electricity delivery split mechanical electrical paths in PowerSplit PHEV architecture. A two degree of freedom model is established characterize actuation dynamics properties powertrain. achieves three important contributions...
Intensive dependencies of a Java project on third-party libraries can easily lead to the presence multiple library or class versions its classpath. When this happens, JVM will load one version and shadows others. Dependency conflict (DC) issues occur when loaded fails cover required feature (e.g., method) referenced by project, thus causing runtime exceptions. However, warnings duplicate classes detected existing build tools such as Maven be benign since not all instances duplication induce...
Recently, a number of double-image cryptosystems have been developed. However, there are notable security performance differences between the two encryption channels in these algorithms. This weakness downgrades level and practicability cryptosystems, as cannot guarantee all input images be transmitted channel with higher level. In this paper, we propose novel scheme based on cross-image pixel scrambling gyrator domains. The firstly shuffled by proposed approach, which can well balance...
The PyPI ecosystem has indexed millions of Python libraries to allow developers automatically download and install dependencies their projects based on the specified version constraints. Despite convenience brought by automation, constraints in can easily conflict, resulting build failures. We refer such conflicts as <u>D</u>ependency <u>C</u>onfict (DC) issues. Although DC issues are common projects, lack tool support gain a comprehensive knowledge for diagnosing root causes these In this...
This paper presents a driving pattern recognition method based on trip segment clustering. Driving patterns categorize various behaviors that contain certain energy demand property in common. It can be applied to applications including intelligent transportation, emission estimation, passive/active safety controls and management controls. In this paper, features are first identified from high impact factors static quasi-static environmental traffic information. A feature trip/route...
Due to robustness against multipath effect, frequency domain CSI (Channel State Information) of OFDM (Orthogonal Frequency Division Multiplexing) systems is supposed provide good ranging measurement for indoor localization. Since lower bound positioning error CSI-based localization has been rarely reported, this paper proposes a Cramer-Rao (CRLB) This CRLB derived based on wireless propagation model integrating both shadowing effect and effect. The main factors that can influence the are...
Abstract Millimeter-wave diagnostics have proven effective on various magnetic fusion devices worldwide, yet the formidable challenges posed by harsh environments of future burning plasma devices, characterized extreme temperatures, pressures, and radiation levels, remain a significant hurdle. To address these challenges, utilization wide bandgap Gallium Nitride (GaN)-based millimeter-wave is most promising solution for reactor safety monitoring control. A noteworthy W-band GaN-based...