# US 2019/0174273 A1 · Multicast Expert System Information Dissemination System And Method

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- Number: US 2019/0174273 A1
- Document ID: US20190174273A1
- Status: Published application
- Kind: A1
- Application number: 16/249,797
- Filed: 2019-01-16
- Published: 2019-06-06
- Earliest claimed: 2016-02-24
- Inventors: Robert D. Pedersen
- Web page: https://patentgrep.com/patent/US20190174273A1

## CPC

- H04W 4/18: Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
- H04L 12/1845: {broadcast or multicast in a specific location, e.g. geocast (protocols for adapting network applications to user terminal location H04L67/52; services specially adapted for wireless communication networks making use of the location of users or terminals H04W4/02)}
- H04W 4/025: {using location based information parameters}
- H04W 4/14: Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
- H04L 12/189: {in combination with wireless systems (selective distribution or broadcast in wireless communication networks H04W4/06)}
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

Multicast expert system information dissemination systems and methods making use of artificial intelligence are provided. The systems and methods include a wireless device for receiving RF multicast information messages from a content provider wherein said information is descriptive of objects potentially of interest to users of the device. Received multicast messages may include information parameters about objects of potentially interest to the user. The wireless device also includes a knowledge base prestored in the wireless device descriptive of the user's level of interest in various objects. Artificial intelligence expert system control is used to evaluate a combination of the user's level of interest in the object information and distance from the user to the location where the object may be obtained. The artificial intelligence expert system derives a user advisory action index. In one embodiment the artificial intelligence may be implemented using fuzzy logic inference engine apparatus.

## Claims

### Claim at position 1

1-22. (canceled)

### Claim 23

A specifically programmed mobile communication computer system with at least one specialized communication computer machine including artificial intelligence expert system decision making electronic capability, comprising:
at least one RF multicast transceiver for signal transmission and for receiving of multicast information signals;
a non-transient memory having at least one portion for storing data and at least one portion for storing particular computer executable program code; and
at least one processor for executing the particular program code stored in the memory:
wherein the specifically programmed mobile communication computer system is configured to perform at least the following operations:
electronically receiving, by the specifically programmed mobile communication computer system transceiver, RF multicast addressed signals with defined limited coverage area from a content provider including content descriptive of objects or situations registered with said content provider by a user of the specifically programmed mobile communication computer system as being of interest to said user and information defining the location of that object or situation; and wherein said defined limited coverage area corresponds to areas in defined proximity to the location of the object or situation of interest to the user;
electronically determining the location of the specifically programmed mobile communication computer system and distance or travel time between that system and the received location information of said object or situation of interest to the user without disclosing the location of said system to the content provider;
artificial intelligence expert system analysis of a combination of parameter ranges defining the user's level of interest in and distance or travel time to objects or situations of interest with expert defined propositional logic inference rules defining multiple conditional relationships of said parameters;
generating artificial intelligence expert system advisory action indices providing the user recommended actions regarding said objects or situations; and
wherein limiting the defined coverage area of received RF multicast addressed signals reduces required signal spectrum in areas too far from the object or situation to be of interest to any user resulting in more efficient use of the RF signal spectrum, minimizing signal transmission power requirements, minimizing signal processing requirements of users too far from the object or situation of interest and users not interested in said object or situation, and protection of user privacy.

### Claim 24 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system receives said RF multicast addressed signals from a cellular telephone network transmitter.

### Claim 25 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system receives said RF multicast addressed signals from a Wi-Fi signal transmitter.

### Claim 26 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system receives said RF multicast addressed signals from a Bluetooth signal transmitter.

### Claim 27 (depends on 26)

The system of claim 26 wherein the specifically programmed mobile communication computer system receives said RF multicast addressed signals from a Bluetooth Piconet signal transmitter.

### Claim 28 (depends on 26)

The system of claim 26 wherein the specifically programmed mobile communication computer system RF transceiver comprises a directional antenna.

### Claim 29 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system RF transceiver comprises an omnidirectional antenna.

### Claim 30 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system receives said RF multicast addressed signals from a content provider via an information aggregator.

### Claim 31 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system receives said RF multicast addressed signals from a content provider via a service provider.

### Claim 32 (depends on 23)

The system of claim 23 wherein limiting areas covered by said RF multicast addressed signals minimizes receipt and decoding of unwanted signals by uninterested users or users too far from the object or subject to be of interest to those users.

### Claim 33 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system RF transceiver is paired with another transceiver for RF signal transmission and reception.

### Claim 34 (depends on 33)

The system of claim 33 wherein the specifically programmed mobile communication computer system RF transceiver and the paired transceiver are located in a vehicle.

### Claim 35 (depends on 23)

The system of claim 23 wherein the object or situation of interest to the user is located at a venue different than the location of the content provider.

### Claim 36 (depends on 23)

The system of claim 23 wherein multiple specifically programmed mobile communication computer systems are organized into one or more subgroups with common interests to receive RF multicast signal advisory messages intended for individual subgroups without any of these systems disclosing their location to the content provider, service providers or aggregators.

### Claim 37 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system content provider may be moved to different locations.

### Claim 38 (depends on 23)

The system of claim 23 wherein the specifically programmed mobile communication computer system artificial intelligence expert system control circuitry further comprises fuzzy logic inference control circuitry.

### Claim 39

A method of operating a specifically programmed mobile communication computer system with at least one specialized communication computer machine including artificial intelligence expert system decision making electronic capability, comprising:
receiving multicast information signals using at least one RF multicast transceiver;
storing data and computer executable program code in portions of a non-transient memory:
executing with at least one processor the particular program code stored in said memory;
configuring the specifically programmed mobile communication computer system to perform at least the following operations:
electronically receiving, by the specifically programmed mobile communication computer system transceiver, RF multicast addressed signals with defined limited coverage area from a content provider including content descriptive of objects or situations registered with said content provider by a user of the specifically programmed mobile communication computer system as being of interest to said user and information defining the location of that object or situation; and wherein said defined limited coverage area corresponds to areas in defined proximity to the location of the object or situation of interest to the user;
electronically determining the location of the specifically programmed mobile communication computer system and distance or travel time between that system and the received location information of said object or situation of interest to the user without disclosing the location of said system to the content provider;
artificial intelligence expert system analysis of a combination of parameter ranges defining the user's level of interest in and distance or travel time to objects or situations of interest with expert defined propositional logic inference rules defining multiple conditional relationships of said parameters;
generating artificial intelligence expert system advisory action indices providing the user recommended actions regarding said objects or situations; and
wherein limiting the defined coverage area of received RF multicast addressed signals reduces required signal spectrum in areas too far from the object or situation to be of interest to any user resulting in more efficient use of the RF signal spectrum, minimizing signal transmission power requirements, minimizing signal processing requirements of users too far from the object or situation and users not interested in said object or situation, and protection of user privacy.

### Claim 40 (depends on 39)

The method of claim 39 wherein the specifically programmed mobile communication computer system artificial intelligence expert system control circuitry further comprises fuzzy logic inference control circuitry.

### Claim 41 (depends on 40)

The method of claim 40 wherein the object or situation of interest to the user is located at a venue different than that of the location of the content provider.

### Claim 42 (depends on 40)

The method of claim 40 wherein the specifically programmed mobile communication computer system content provider may be moved to different locations.
