A5089050483- Seismic Imaging and Inversion Techniques
- Advanced Steganography and Watermarking Techniques
- DNA and Biological Computing
- Seismology and Earthquake Studies
- Drilling and Well Engineering
- Geological and Geophysical Studies
- Neural Networks and Applications
- Underwater Acoustics Research
- Image and Object Detection Techniques
- Advanced Computational Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Industrial Vision Systems and Defect Detection
- Advanced Image and Video Retrieval Techniques
- Algorithms and Data Compression
- Reservoir Engineering and Simulation Methods
- Genomics and Phylogenetic Studies
- Internet Traffic Analysis and Secure E-voting
- Digital Media Forensic Detection
- Image and Signal Denoising Methods
- Geological Modeling and Analysis
- Food Quality and Safety Studies
Beijing University of Posts and Telecommunications
2024-2025
National Yang Ming Chiao Tung University
2003
University of Houston
1985-1987
Purdue University West Lafayette
1982
To estimate genetic diversity and to authenticate the medicinal materials ofScutellaria baicalensis Georgi, present work including DNA isolation, optimization of PCR assay inter-simple sequence repeat (ISSR) primers screening were investigated. Among three isolation methods, improved CTAB, SDS kit, CTAB was best if restricted by funding. Based on selection design protocols reports, optimal ISSR-PCR action carried out in a volume 20 μl containing ng template, 1.0 U of Taq DNA polymerase, 1 ×...
Hierarchical syntactic pattern recognition and the Hough transformation are proposed for automatic reconstruction of seismic patterns in seismograms. In first step, hierarchically decomposed or recognized into single patterns, straight‐line hyperbolic using recognition. second technique is used reconstruction, by pattern. The system includes envelope generation, a linking process seismogram, segmentation, primitive recognition, grammatical inference, syntax analysis. automatically reconstructed.
PreviousNext No AccessSEG Technical Program Expanded Abstracts 1982Decision‐theoretic pattern recognition for the classification of Ricker wavelets and detection bright spotsAuthors: K. Y. HuangK. S. FuK. HuangPurdue Univ. FuPurdue Univ.https://doi.org/10.1190/1.1826902 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1826902FiguresReferencesRelatedDetailsCited bySyntactic...
An artificial neural network designed to recognize seismic patterns is presented. It a hybrid model because it consists of both unsupervised and supervised learning. The layer plays the feature extracting role, responsible for class decision. When learning completed, user presents pattern this obtain decision on which input belongs. If fails pattern, that means there are no nodes located in output produce large enough response. Then, will automatically decrease its vigilance threshold become...
PreviousNext No AccessSEG Technical Program Expanded Abstracts 1985Hierarchical syntactic pattern recognition and Hough transformation for the automatic reconstruction of seismic patternsAuthors: K. Y. HuangK. S. FuS. W. ChengZ. LinK. HuangUniv. Houston, FuPurdue Univ., ChengUniv. Z. LinUniv. Houstonhttps://doi.org/10.1190/1.1892806 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail...
PreviousNext No AccessSEG Technical Program Expanded Abstracts 1987Picture description language for recognition of seismic patternsAuthors: K. Y. HuangWendy BauShyue‐Yuh LinK. HuangUniversity Houston, Wendy BauUniversity and Shyue‐Yuh LinUniversity Houstonhttps://doi.org/10.1190/1.1892106 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1892106FiguresReferencesRelatedDetails...