- Geophysics and Gravity Measurements
- Software-Defined Networks and 5G
- Radio Astronomy Observations and Technology
- Advanced Image and Video Retrieval Techniques
- Pulsars and Gravitational Waves Research
- Planetary Science and Exploration
- Industrial Vision Systems and Defect Detection
- Sentiment Analysis and Opinion Mining
- Astro and Planetary Science
- Advanced Text Analysis Techniques
- Smart Grid Security and Resilience
- Advanced MRI Techniques and Applications
- IoT and Edge/Fog Computing
- Advanced Neural Network Applications
- Topic Modeling
- Digital Media and Visual Art
- Stock Market Forecasting Methods
- Spinal Cord Injury Research
- Low-power high-performance VLSI design
- Evolutionary Algorithms and Applications
- Multimodal Machine Learning Applications
- Global Educational Policies and Reforms
- GNSS positioning and interference
- IoT Networks and Protocols
- Advanced Data and IoT Technologies
State Grid Corporation of China (China)
2020-2024
City University of Macau
2023
University of Macau
2023
Wenzhou-Kean University
2023
Liaoning University of Technology
2023
Qilu University of Technology
2020-2021
Shandong Academy of Sciences
2020-2021
Chinese Academy of Sciences
2015-2018
National Astronomical Observatories
2017-2018
Xinjiang Astronomical Observatory
2017-2018
In recent years, with the popularity of social media, users are increasingly keen to express their feelings and opinions in form pictures text, which makes multimodal data text con tent type most growth. Most information posted by on media has obvious sentimental aspects, sentiment analysis become an important research field. Previous studies have primarily focused extracting image features separately then combining them for classification. These often ignore interaction between images....
With the rapid development of higher education in new era, professional ethics construction university teachers, as a key force cultivating high-quality talents, promoting technological innovation and social progress, has become particularly important. This article aims to explore current situation, challenges, solutions for Chinese teachers context providing theoretical reference practical guidance teacher style universities. Through literature review, empirical research, other methods,...
Internet of Things (IoT) devices have different operation principles, which weakens the data interoperability. Virtualization is an economic way solving this problem. The data-collected by vendors' sensors-share same computing program encapsulated virtual machine (VM), so that physical-layer difference can be hidden. To eliminate extra cost and long delay transferring VMs to remote cloud, edge device (ED) processes local VMs' requirements in prior. Hence, sustainable strategy for recycling...
Purpose: Radiotherapy remains a major treatment method for malignant tumors. Magnetic resonance imaging (MRI) is the standard modality assessing glioma response in clinic. Compared to MRI, ultrasound low‐cost and portable can be used during intraoperative procedures. The purpose of this study was quantitatively compare contrast‐enhanced (CEUS) MRI irradiated gliomas rats determine which quantitative parameters assessment early radiation glioma. Methods: Thirteen nude with U87 were used. A...
Due to the fast retrieval speed and low storage cost, cross-modal hashing has become primary method for retrieval. Since emergence of deep methods, significantly improved. However, existing hash methods still need effectively utilize dataset’s supervisory information lack similarity expression ability. This means that label needs be maximized, potential semantic relationship between two modalities cannot fully explored, thus affecting judgment modalities. To address these problems, this...
Real-time, high-accuracy frequency-phase estimation is the critical mission of Doppler tracking, which a primary technique for deep space spacecraft navigation and planetary radio science experiments. Usually, analog intermediate frequency signal digitalized converted to baseband by processing hardware platforms called digital back-ends (DBEs) parameter performed extra high performance computers. In this paper, novel real-time, estimator hardware-based integrated (HIPE) proposed implemented...
With continuous developments in deep learning, image semantic segmentation technology has also undergone great advancements and been widely used many fields with higher accuracy. This paper proposes an algorithm based on a neural network. Based the Mask Scoring R-CNN, this uses symmetrical feature pyramid network adds multiple-threshold architecture to improve sample screening precision. We employ probability model optimize mask branch of further accuracy for edges. In addition, we adjust...
A multitime programmable (MTP) memory cell based on pseudo differential architecture is presented in this paper. The proposed has only one floating gate, it takes advantage of the opposite polarity PMOS transistor and NMOS to output reading currents. new same data retention capability as state-of-the-art cell. Furthermore, saves about 58% area with respect conventional test chip fabricated by using a 0.13 μm standard CMOS process, extensive experimental results are provided.
In the field of space low-frequency gravitational-wave detection, high-precision microwave Doppler measurement based on ground tracking station has been performed for more than 40 years. During extension phase Chang’E-3 lander, lunar ranging technology sub-millicycle accuracy was realized independent development planetary radio receiver. Then use raw data lunar-earth in X-band, after deduction earth atmospheric aberration, ionospheric disturbance, equipment thermal noise and interplanetary...
In recent years, an increasing number of people have indicated their inclination to express feelings and opinions in the form text pictures on social media. Thus, amount multimodal data with as main content is increasing. By analyzing sentiment such data, people's attitudes can be understood. To solve problem information redundancy classification task, first, image feature extraction model established based attention neural network, which highlights key areas information. Second, tensor...
In the evolving field of AI, advent Large Language Models (LLMs) and Natural Coding (NLC) represents a revolutionary step in programming computational linguistics. This research, conducted by early-career scholars their mentors, constructs self-reliant stock trading bot using Transformer Neural Networks, AutoGPT, Alpaca API, exploring potentials No-Code/Code-Free AI framework rooted NLC. investigation assesses effectiveness this approach influenced social media dynamics compares it with...
嫦娥五号(CE-5)任务具有天地联合的优势测控资源,为地基无线电测量新方法验证、工程应用与科学研究提供了优越条件。本文重点开展CE-5探测器开环测速精细提取及应用。首先,提出了基于信号重构互相关的开环测速多普勒频率提取算法,建立了从信号输入、信号处理到观测量输出的完整实现步骤;然后,基于中国深空网开展了CE-5轨道器开环测速试验,经信号处理分析结果表明:CE-5轨道器开环测速精度达到2~3mHz水平,优于深空站基带测速精度3~4倍;其次,通过CE-5轨道器精密定轨,有效验证开环测速观测量应用效果,结果表明:开环测速的定轨残差为0.12mm/s,基带测速的定轨残差为0.46mm/s;最后,提出了基于深空探测器的多体问题引力红移验证方法,从理论上分析了高精度开环测速在引力红移验证方面潜在应用可行性,初步设计了引力红移验证设想方案,评估了以现有CE-5轨道器开环测速结果为依据,建议可考虑开展引力红移验证专项试验,有望实现10-4~10-5水平的引力红移验证精度。
This paper explores the combination of a classic mathematical function named “hyperbolic tangent” with metaheuristic algorithm, and proposes novel hybrid genetic algorithm called NSGA-II-BnF for multi-objective decision making. Recently, many evolutionary algorithms have been proposed tackling optimization problems (MOPs). These demonstrate excellent capabilities offer available solutions to makers. However, their convergence performance may be challenged by some MOPs elaborate Pareto fronts...
Image semantic segmentation has made great progress using deep neural networks. However, methods based on networks rely numerous pixel-level annotations, and such annotations require considerable time money. To overcome this problem, researchers have proposed a weakly supervised image segmentation, which requires only simple to achieve high accuracy. In article, we propose an algorithm that uses bounding box segmentation. The basic steps are divided into two steps: generating temporary...
Planetary radio science experiments have been carried out in Chinese lunar exploration missions of Chang’e-1/2/3. The astronomical VLBI technique was adopted for tracking and orbiting the Chang’e 1 & 2 missions, played an important role positioning orbit injection hard landing. Besides orbiters’ POD work lander using open loop close R&RR data, many other also done. In orbiter gravity field model improved by Chang’e-1 new topographical features were discovered based on model. Also, micro-wave...
In recent times, there has been a growing interest in the research of rural teachers, coinciding with advancements education. As progresses, investigation educators evolved beyond narrow emphasis on their professional identity to encompass holistic comprehension overall living conditions. This article is grounded phenomenology lifeworld theory and endeavors portray genuine comprehensive teaching through utilization experience methods.