PATENT CLAIM ANALYSIS

Application Number: 15879105
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["370", "390000"]

Abstract:
A packet switch device for a message exchange among a plurality of computing devices, including a message transceiver transmitting and receiving a message, a transmission table storage unit storing a transmission table for determining a computing device to which the message is transmitted, a transmission processor determining the computing device to which the message is transmitted based on a topic address included in the message, a reference processing information receiver receiving a usage status that indicates information used in a calculation process in the computing device, a transmission table compatibility calculation unit calculating compatibility of the transmission table based on the received reference processing information, and a transmission table update unit that updates the transmission table based on the calculated compatibility.

Claim (Index 4):
The packet switch device according to  claim 2 , wherein the transmission table compatibility calculation unit causes a learning device according to a neural network to perform learning based on the reference processing information and calculates compatibility of the transmission table using the learning device finishing learning.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.32727
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['09656138', '09421275', '12282947', '09228087', '16084694']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5395859171107671
- 35 USC 102 Novelty (BERT): 0.4708561072693825
- Combined Prediction Score: 0.5327129361266286
- Mean Citation Score: 137.74336599999998
- Max Citation Score: 145.2943
- Similarity Product: 103.83998054066896

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