PPT-Attribute Expression Using Gray Level Co-Occurrence

Sipuikinene Angelo Marcilio MatosKurt J Marfurt ConocoPhillips School of Geology amp Geophysics University of Oklahoma Seismic resolution remains a major limitation in the world of seismic interpretation The goal of reflection seismology is to analyze seismic amplitude and character to predict lithologic facies and rock properties such as porosity and thickness Seismic attribute analysis is a technique that is commonly used by oil industry to delineate stratigraphic and structural features of interest Seismic attributes are particularly important in allowing the interpreter to extract subtlest at the limits below seismic resolution For example some attributes such as coherence and curvature are particularly good at identifying edges and fractures Attributes such as spectral components tend to be more sensitive to stratigraphic thickness Many commercial seismic interpretation packages contain RMS amplitude and relative impedance which is sensitive to acoustic impedance My proposed research focuses upon seismic textural analysis borrowing upon techniques commonly used in remote sensing to enhance and detect terrain vegetation and land use information Textures are frequently characterized as different patterns in the underlying data Seismic texture analysis was first introduced by Love and Simaan 1984 to extract patterns of common seismic signal character Recently several workers West et al 2002 Gao2003 Chopra and Vladimir 2005 have extended this technique to seismic through the uses of graylevel cooccurrence matricesGLCMThe gray level allows the recognition of patterns significantly more complex than simple edges This set of texture attributes is able to delineate complicated geological features such as mass complex transport and amalgamated channels that exhibit a distinct lateral pattern . Inducible gene expression. kinetics of . β-galactosidase. enzyme induction. Add inducer. start transcription = mRNA accumulation. mRNA translation = protein accumulation. Remove inducer. Stop. transcription (. This module covers how to interpret the results of a conjoint study, including the topics of attribute importance, willingness-to-pay, statistical validity, customer feature trade-offs, and market share prediction. . Sipuikinene Angelo*, Marcilio Matos,Kurt J Marfurt . ConocoPhillips School of Geology & Geophysics, University of Oklahoma. Real life examples from Osage County Oklahoma. 3-D Survey location . What is the Goal of GLCM?. Attribute Level Description* Sensation 1 Able to see, hear, and speak normally for age. 2 Requires equipment to see or hear or speak. 3 itations even with equipment. 4 5 Unable to control or What does the operon model attempt to explain?. the coordinated control of gene expression . in bacteria. bacterial resistance to antibiotics. how genes move between homologous regions of DNA. the mechanism of viral attachment to a host cell. University . of . Colorado. . School of Medicine . Chris . Uhrich. Recombinant by Deloitte. OMOP Data Management Workgroup. 4-April-2013. Funding provided by AHRQ 1R01HS019908 (Scalable Architecture for Federated Translational Inquiries Network). Towards Bridging Semantic Gap and Intention Gap in Image Retrieval. Hanwang. Zhang. 1. , . Zheng. -Jun Zha. 2. , Yang Yang. 1. , . Shuicheng. Yan. 1. , . Yue. Gao. 1. , Tat-. Seng. Chua. 1. 1: National University of Singapore. Knowledge . Level 3. Dr. Amy Burk. University of Maryland. Extension Horse Specialist. Rev. 8. /16/11. Kristen M. Wilson. University of Maryland Extension Horse Specialist. Knowledge Testing Schedule. Presentation to: S-MAP Phase II Participants. Charles D. Feinstein, PhD. Jonathan A. Lesser, PhD. December 6, 2016. Summary of the Joint . Intervenor. Approach. Step 1: Develop the multi-attribute value function. MRN Guidelines for IHO S-100 TSM6 18-20 September 2018 Eivind Mong Raphael Malyankar Sponsored by NOAA MRN Background Top level name space is urn:mrn IALA developed based on uniform resource identifier (URI) is defined in RFC 3986 ( MRN Guidelines for IHO S-100 TSM6 18-20 September 2018 Eivind Mong Raphael Malyankar Sponsored by NOAA MRN Background Top level name space is urn:mrn IALA developed based on uniform resource identifier (URI) is defined in RFC 3986 ( Thomas . Krichel. today. An introduction to XML. M. ajor HTML, the body element.. XML. XML is an SGML application. Every XML document is SGML, but not the opposite.. Thus XML is like SGML but with many features removed. . . Candas. Xinqiang. He. Susan Keenan. Judith Leatherman. Stephen Spiro. Ming . Tian. Facilitator: Peggy Brickman. Group 1: Gene Expression I. Ribo. -regulation: . controlling gene expression at the level of RNA. What Is Data Mining?. Many people treat data mining as a synonym for another popularly used term, knowledge discovery from data, or KDD, while others view data mining as merely an essential step in the process of knowledge discovery. .