PATENT CLAIM ANALYSIS

Application Number: 16302962
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["345", "424000"]

Abstract:
One example includes a non-transitory machine readable storage medium including voxels organized by an octree and at least one quad-tree index. The octree defines an object to be three-dimensionally printed and includes a list of nodes for each depth of the octree where each node includes nodal content representing at least one voxel. The at least one quad-tree index is to index at least one node of the octree and has a depth less than or equal to a maximum resolved depth. The at least one quad-tree index is to be accessed by computer executable instructions to retrieve nodal content from the octree to control a processor to process the object to be three-dimensionally printed.

Claim (Index 8):
The method of  claim 7 , wherein dividing the quad-tree index into two quad-tree indices and updating each of the two quad-tree indices for the current depth comprises:\n duplicating the quad-tree index to provide an upper quad-tree index and a lower quad-tree index; scanning each tuple of the quad-tree index; for each tuple indicating a non-leaf node, retrieving eight of the children of the non-leaf node and replacing the tuple in the lower quad-tree index with tuples corresponding to the lower four children and replacing the tuple in the upper quad-tree index with tuples corresponding to the upper four children; and replacing the quad-tree index with the lower quad-tree index and inserting the upper quad-tree index into the linked list of quad-tree indices after the lower quad-tree index.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 98.0
- Lexical Diversity: 2.01695
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12662555', '14529915', '13342714', '15404634', '11073686']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5956720734099872
- 35 USC 102 Novelty (BERT): 0.4953451914804326
- Combined Prediction Score: 0.5856393852170317
- Mean Citation Score: 157.759398
- Max Citation Score: 172.08083
- Similarity Product: 113.60193806126712

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test