A5047513228- Statistical and numerical algorithms
- Image and Signal Denoising Methods
- Geophysics and Gravity Measurements
- Soil Geostatistics and Mapping
- Inertial Sensor and Navigation
- Advanced Statistical Methods and Models
- Language and cultural evolution
- Electromagnetic Compatibility and Noise Suppression
- Real-time simulation and control systems
- Natural Language Processing Techniques
- HVDC Systems and Fault Protection
- Topic Modeling
- Research studies in Vietnam
SOAS University of London
2023
University of London
2023
Tongji University
1999-2015
To resist the influence of gross errors in observations on adjusted parameters, robust Least Squares (LS) adjustment has been extensively studied and successfully applied real applications. However, LS adjustment, design matrix is treated as non-random even if its elements come from that are general inevitably error-contaminated. Such assumption will lead to incorrect solution error exists matrix. In this paper, we study Total (TLS) where observation taken into account. The reweighting...
This paper presents "AI Nüshu," an emerging language system inspired by Nüshu (women's scripts), the unique created and used exclusively ancient Chinese women who were thought to be illiterate under a patriarchal society. In this interactive installation, two artificial intelligence (AI) agents are trained in dictionary corpus. By continually observing their environment communicating, these collaborate towards creating standard writing encode Chinese. It offers artistic interpretation of...
In the generalised total least squares (GTLS) problem, observations can be perturbed by random errors that are dependently, inconsistently and normally distributed with a non-zero mean, coefficient matrix hold any structure. this contribution, set of formulae for GTLS adjustment is derived using pseudo-observation method. Based on results, an iterative algorithm (algorithm 1) only estimation parameters two-loop 2) variance factors developed. Moreover, derivative vector introduced to deal...
Abstract In the classical geodetic data processing, a non- linear problem always can be converted to least squares adjustment. However, errors in Jacob matrix are often not being considered when using square method estimate optimal parameters from system of equations. Furthermore, identity weight may suitable for each element matrix. The weighted total has been frequently applied processing case that observation vector and coefficient perturbed by random errors, which zero mean statistically...
Abstract. Anthropogenic land subsidence is an environmental side effect of exploring and using natural resources in the process economic development. The key points system for controlling include cooperation superior coexistence while economy develops, resources, geological safety. Using theory method set pair analysis (SPA), this article anatomises factors, effects, transformation subsidence. Based on principle coexistence, paper promotes a technical approach to subsidence, order improve...