Probing Narrative Cognition Theory: A Semantic Analysis of Multi-level Hydraulic Fracturing Policy Narratives in Arkansas

2020 ◽  
Author(s):  
Rachael Moyer ◽  
Geoboo Song
Keyword(s):  
Hydraulic Fracturing ◽  
Semantic Analysis ◽  
Policy Narratives ◽  
Multi Level

Semantic Analysis and Text Summarization in Socio-Technical Systems

2017 ◽  
pp. 243-281 ◽  
Author(s):  
Nina Rizun
Keyword(s):  
Decision Making ◽  
Text Mining ◽  
Semantic Analysis ◽  
Text Summarization ◽  
Technical System ◽  
Synergy Effect ◽  
Decision Making Processes ◽  
Multi Level ◽  
Technical Systems

In this chapter, the authors present the results of the development the text-mining methodology for increasing the reliability of the functioning of Socio-technical System (STS). Taking into account revealed strengths and weaknesses of Discriminant and Probabilistic approaches of Latent Semantic Relations analysis in of the abstracting and summarization projection, the Methodology of Two-level Single Document Summarization was developed. The Methodology assumes the following elements of novelty: based on obtaining a multi-level topical framework of the document (abstracting); uses the synergy effect of consistent usage the combination of two approaches for identification of conceptually significant elements of the text (summarization). The examples demonstrating the basic workability of proposed Methodology were presented. Such approaches should help human to increase the quality of supporting the decision-making processes of STS in real time.

Probabilistic Graphical Models for Sports Video Mining

2012 ◽  
pp. 309-335
Author(s):  
Guoliang Fan ◽  
Yi Ding
Keyword(s):  
Graphical Models ◽  
Semantic Analysis ◽  
Semantic Representation ◽  
Probabilistic Graphical Models ◽  
Building Blocks ◽  
Semantic Space ◽  
Sports Video ◽  
Inference Problems ◽  
Video Mining ◽  
Multi Level

Semantic analysis is an active and interesting research topic in the field of sports video mining. In this chapter, the authors present a multi-level video semantic analysis framework that is featured by hybrid generative-discriminative probabilistic graphical models. A three-layer semantic space is proposed, by which the semantic video analysis is cast into two inter-related inference problems defined at different semantic levels. In the first stage, a multi-channel segmental hidden Markov model (MCSHMM) is developed to jointly detect multiple co-existent mid-level keywords from low-level visual features, which can serve as building blocks for high-level semantics. In the second stage, authors propose the auxiliary segmentation conditional random fields (ASCRFs) to discover the game flow from multi-channel key-words, which provides a unified semantic representation for both event and structure analysis. The use of hybrid generative-discriminative approaches in two different stages is proved to be effective and appropriate for multi-level semantic analysis in sports video. The experimental results from a set of American football video data demonstrate that the proposed framework offers superior results compared with other traditional machine learning-based video mining approaches.

scholarly journals Directional hydraulic fracturing technology for prefabricated longitudinal guide seams in a coal mine tight sandstone roof

2021 ◽  
pp. 014459872110289
Author(s):  
Liangwei Li ◽  
Wenbin Wu
Keyword(s):  
Acoustic Emission ◽  
Hydraulic Fracturing ◽  
Coal Mine ◽  
Tight Sandstone ◽  
Directional Hydraulic Fracturing ◽  
Working Face ◽  
Secondary Cracks ◽  
Initiation Pressure ◽  
Multi Level ◽  
Fracturing Experiments

Triaxial hydraulic fracturing experiments were used to study the initiation pressure variation and acoustic emission characteristics of different guide seams sizes during roof hydraulic fracturing. Numerical simulations were used to explore the feasibility of multiple boreholes with prefabricated guide seams. An experiment of hydraulic fracturing on a pillar-free working face was also carried out in a coal mine. The results show that the specimens with guide seams reduced the initiation pressure, with the number of acoustic emission events and initiation pressure being inversely proportional to the size of the guide seams. Specimens without guide seams were deflected by stress and produced multi-level cracks, while the specimens with guide seams did not produce large secondary cracks and deflection. When the stress difference was small, three holes penetrated but not under large stress differences. The hydraulic fracturing technology of prefabricated longitudinal guide seams was tested in the Ningtiaota Coal Mine, and the auxiliary transportation roadway of S1201 working face was successfully retained for reuse in adjacent working faces.

Exploring the Policy Narratives and Politics of Hydraulic Fracturing in New York

2014 ◽  
pp. 185-205 ◽  
Author(s):  
Tanya Heikkila ◽  
Christopher M. Weible ◽  
Jonathan J. Pierce
Keyword(s):  
New York ◽  
Hydraulic Fracturing ◽  
Policy Narratives

A Multi-level Account of Selective Attention

2014 ◽  
Author(s):  
John T. Serences ◽  
Sabine Kastner
Keyword(s):  
Selective Attention ◽  
Semantic Analysis ◽  
Task Demands ◽  
Sensory Response ◽  
Sensory Stimuli ◽  
Low Level ◽  
Multi Level ◽  
Selective Information Processing ◽  
Selective Information

To achieve behavioural goals, relevant sensory stimuli must be processed more quickly and reliably than irrelevant distracters. The ability to prioritize relevant over irrelevant stimuli is usually referred to as selective information processing, or selective attention. Over the last 50–60 years, there has been an ongoing debate about the point along the sensory–response processing stream at which selective attention operates: are relevant and irrelevant inputs segregated early in processing based on low-level featural differences, or does this segregation occur late in processing after the meaning of each stimulus has been computed? As with nearly all dichotomies in psychology, the emerging consensus is that neither extreme is correct. Instead, depending on task demands, the mechanisms of selective attention can flexibly operate on the quality of low-level sensory representations as well as on later stages of semantic analysis and decision-making.

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