Geometric structure analysis of document images: a knowledge-based approach

2000 ◽  
Vol 22 (11) ◽  
pp. 1224-1240 ◽  
Author(s):  
Sung-Bae Cho ◽  
Yoon-Chul Choy ◽  
Kyong-Ho Lee
Keyword(s):  
Structure Analysis ◽  
Geometric Structure ◽  
Document Images ◽  
Knowledge Based

scholarly journals Tetra-n-butylammonium orotate monohydrate: knowledge-based comparison of the results of accurate and lower-resolution analyses and a non-routine disorder refinement

2019 ◽  
Vol 75 (11) ◽  
pp. 1632-1637
Author(s):  
Irene Ara ◽  
Zeineb Basdouri ◽  
Larry R. Falvello ◽  
Mohsen Graia ◽  
Pablo Guerra ◽  
...  
Keyword(s):  
Low Temperature ◽  
Structure Analysis ◽  
Room Temperature ◽  
Accurate Determination ◽  
Temperature Structure ◽  
Knowledge Based ◽  
Using Data ◽  
Comparison Of The Results ◽  
A Minor ◽  
Molecular Salt

The title hydrated molecular salt (systematic name: tetra-n-butylammonium 2,6-dioxo-1,2,3,6-tetrahydropyrimidine-4-carboxylate monohydrate), C16H36N+·C5H3N2O4 −·H2O, crystallizes with N—H...O and O—H...O hydrogen-bonded double-stranded antiparallel ribbons consisting of the hydrophilic orotate monoanions and water molecules, separated by the bulky hydrophobic cations. The hydrophobic and hydrophilic regions of the structure are joined by weaker non-classical C—H...O hydrogen bonds. An accurate structure analysis conducted at T = 100 K is compared to a lower-resolution less accurate determination using data measured at T = 295 K. The results of both analyses are evaluated using a knowledge-based approach, and it is found that the less accurate room-temperature structure analysis provides geometric data that are similar to those derived from the accurate low-temperature analysis, with both sets of results consistent with previously analyzed structures. A minor disorder of one methyl group in the cation at low temperature was found to be slightly more complex at room temperature; while still involving a minor fraction of the structure, the disorder at room temperature was found to require a non-routine treatment, which is described in detail.

Semantic Correspondence with Geometric Structure Analysis

2021 ◽  
Vol 17 (3) ◽  
pp. 1-21
Author(s):  
Rui Wang ◽  
Dong Liang ◽  
Xiaochun Cao ◽  
Yuanfang Guo
Keyword(s):  
Structure Analysis ◽  
Geometric Structure ◽  
Ratio Method ◽  
Distance Ratio ◽  
Image Correspondence ◽  
Similar Images ◽  
Real World Datasets ◽  
Permutation Problem ◽  
Smoothness Term ◽  
Symmetric Structures

This article studies the correspondence problem for semantically similar images, which is challenging due to the joint visual and geometric deformations. We introduce the Flip-aware Distance Ratio method (FDR) to solve this problem from the perspective of geometric structure analysis. First, a distance ratio constraint is introduced to enforce the geometric consistencies between images with large visual variations, whereas local geometric jitters are tolerated via a smoothness term. For challenging cases with symmetric structures, our proposed method exploits Curl to suppress the mismatches. Subsequently, image correspondence is formulated as a permutation problem, for which we propose a Gradient Guided Simulated Annealing (GGSA) algorithm to perform a robust discrete optimization. Experiments on simulated and real-world datasets, where both visual and geometric deformations are present, indicate that our method significantly improves the baselines for both visually and semantically similar images.

scholarly journals Market Structure analysis with Herfindahl-Hirchman Index and Lauraéus-Kaivo-Oja Indices in the Global Cobotics Markets

2021 ◽  
Vol 18 (1) ◽  
pp. 70-81
Author(s):  
Theresa Lauraéus ◽  
Jari Kaivo-oja ◽  
Mikkel S. Knudsen ◽  
Kimmo Kuokkanen
Keyword(s):  
Market Structure ◽  
Structure Analysis ◽  
Value Added ◽  
Index Theory ◽  
The Novel ◽  
Knowledge Based ◽  
Market Structure Analysis ◽  
Statistical Measures ◽  
Market Competitiveness ◽  
Strategic Plans

Abstract Research purpose. The study is focused on the expected market dynamics of global cobotics markets. This study investigates the current market structure of the global cobotics market. The scientific aim of the research is to report the first data-based market structure analysis of the global cobotics market with the HHI index and with the LKI index analysis. With analysis we are able to show the diversification rate of the global cobotics market. Design / Methodology / Approach. The methodology is based on conventional statistical index theory and statistics. The methodology is the calculation of the Herfindahl-Hirchman Index and the Lauraéus-Kaivo-oja Index. The authors compare the results of these two methodologies. Findings. The Herfindahl-Hirschman Index (HHI) and the Lauraéus-Kaivo-oja Index are statistical measures of market concentration, and they can be used to determine market competitiveness. This paper demonstrates novel data analytics possibilities of new market data collected by the Statzon, Ltd with various comparative analytical results and findings. By our analyses we can help multiple industrial stakeholders make faster decisions and better strategic plans with the easiest and fastest access to accurate, reliable, and up-to-date cobotics industry statistics, forecasts, and insights. The finding is that this study reveals the current market structure of global cobotics. It is a novel finding and result. Originality / Value / Practical implications. This paper demonstrates the novel and exciting possibilities of transparent index calculation tools. The authors provide original results. Authors underline that extra value added to stakeholders and customers will be provided by joint data pooling strategy of various data sources, which is a key approach of this paper. Real-time market structure analyses create reliable and knowledge-based information for decision-makers and stakeholders of the global cobotics industry.

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