Motorola Corporation

Callspace, Inc.

Interval Systems, Inc.

William C Archibald

Ken Ota

Kim H Eckert

Terence Paul Spielman

Jason Spielman

Robert Wayne Sparks

Michael Vernon Lee

Richard J Manley

Craig Fryar

Carmichael J Simon

In one or more embodiments, one or more methods and/or systems described can transform an inbound call into one or more call streams and/or call states that can include at least one of a contextualized or personalized message, a promotion, a coupon, an offer, a voucher, an advertisement, and an opt-in program, among others. For example, the one or more methods and/or systems described can perform: receiving identification information associated with a telephony device; determining, based on the identification information, a message for the user; and sending the message to the telephony device. For instance, the message can include a coupon or discount for a good or service. In one example, the coupon or discount can be sent via a short message service text message. In another example, the coupon or discount can include a computer-readable image that can be sent via a multimedia messaging service message.

Contextualized telephony message management

In a fuzzy inference system using a plurality of output label membership functions mBi(y), each of which is represented by a singleton having a position yi and a consequent grade gi, a defuzzifying method comprising the steps of: selecting and identifying n singletons in magnitude order of the consequent grade as g1, g2, . . . , gn (g1 is the highest); and obtaining the center of gravity y0 as the final result of defuzzification, by calculating the following approximate equation (n=2, 3, . . . )

Defuzzifying method in fuzzy inference system

A method and apparatus that accounts for utilization of digital applications on an as used basis is accomplished by compensating a publisher for each use of its digital application instead of a lump sum purchase price. This is done by embedding a tariff file within the digital application where a digital application may be a software application, a video file, a text file, and/or an image file. The embedded tariff file, which includes a digital application identification code and a publisher identification code, is used by a meter module to generate accounting information. The accounting message is routed to a collection agency which, in turn, generates debiting information for the user and crediting information for the publishers of the digital application.

Method and apparatus that accounts for usage of digital applications

A minimum-maximum computation circuit (5) includes a circuit (10) for detecting an order of magnitude of the input label's grades and a circuit for executing a minimum-maximum calculation (41, 42, and 49) according to an order of the magnitude of the input label's grades. The minimum-maximum computation circuit includes a rule memory (20) for storing rule-associative-bit-groups which include a valid/invalid bit for each of the coded rules. Each of the coded rules include an arrangement of valid/invalid bits for indicating whether each of said input labels is included or not in the antecedent of said each of rules. The minimum-maximum computing circuit further includes a weighting factor circuit (63) for providing weighting factors in their magnitude order to be applied to selected fuzzy rules.

Data processor for performing a fuzzy logic weighting function and

A data sorting circuit comprising: a data bus 1 for sequentially transmitting data to be sorted; a plurality of cascaded data registers (GR) for storing data in magnitude order, each of the data registers being initialized to a predetermined initial value; and a plurality of data transferring means (GS) each associatively provided for each of the data registers respectively, the data transferring means executing one of the following three operations: storing operation which transfers data appearing on the data bus to the associated data register; shifting operation which transfers data stored in the preceding data register to the associated data register; and no operation which does not transfer any data. The data sorting circuit further comprises: a plurality of transfer control circuits (31, 32, 33) each associatively provided for each of the data transferring means respectively, each of the transfer control circuits controlling the operation of the associated data transferring means.

Method and circuit for sorting data in a fuzzy inference data processing

A data processor processes input data using fuzzy logic operations. The input data consists of n-bits (where n is a natural number greater than 2) and appears at a rate of .function.. The data processor outputs the processed data at a given number of bits and a given rate. The data processor includes a first converter (10), a fuzzy computing element (20), and a second converter (30). The first converter converts the input data into converted data consisting of m bits (where m is a natural number less than n and appearing at a rate of (2.sup.n-m).function.. The fuzzy computing element performs fuzzy logic operations on the converted data and sends the processed data to the second converter. The second converter converts the process converts the process data into output data at the given rate and with the given number of bits.

Fuzzy logic data processor

A fuzzy logic system arranges fuzzy inference rules into groups corresponding to their respective output labels. Within the fuzzy inference rules, the graded input labels are ordered in numerical order according to the grades of each input label such that all of the graded input labels utilized within any particular group of fuzzy inference rules (for each output label) is ordered in numerical order. The minimum bit state for each of the fuzzy inference rules is selected by choosing the grade within that fuzzy inference rule closest in rank to zero. The maximum bit state for each output label is selected by choosing from the minimum bit states for the various inference rules for each output label the grade farthest in rank from zero. The graded input label represented by the maximum bit state is then output as the final value for each particular output label.

Min/max computing circuit for fuzzy inference

In a fuzzy inference system comprising a plurality of fuzzy rules including input labels as antecedents, a min-max computing circuit for executing rain-max computation on input label grades is disclosed. The min-max computing circuit comprises an input label sorter (10) for sorting all input label grades in their magnitude order; a rule bits generating means for generating encoded rules(20), each of said encoded rules comprising a plurality of valid/invalid bits, each of which representing whether or not corresponding input label is included in the antecedent of each of said rules; and a min-max computing logic devices (30, 40) for executing min-max computations on the input label grades according to the grade's magnitude order.

Min-max computing circuit for fuzzy inference

A grade calculating circuit (FIG. 1) used for fuzzy inference computation is disclosed. The circuit calculates input label grades based on the relationships between input data (Xi) and the input labels, defined by membership functions (MF) having at least one inclined line segment (FIG. 3), said grades having the upper and lower limit values (g.sub.max, g.sub.min). The circuit comprises: memory (20) for memorizing the input label membership functions by storing, for each of the membership functions, a function form type code, a bending point (Xo) at an end of the inclined line segment and a multiplication rule which designates a multiplier (2.sup.n +2.sup.m) proportional to the inclination of the inclined line segment; a horizontal distance calculating circuit (40) for calculating a horizontal distance (Xi - Xo) between an input datum (Xi) and the bending point (Xo) for said each of the membership functions; a multiplication circuit (50) for performing operation according to said multiplication rule on said horizontal distance, to provide a grade value determined by the inclined line segment with respect to the horizontal distance; and a selecting circuit ( 60) for selecting one value as an input label grade, from the grade value provided by the multiplication circuit, the upper limit grade value of the membership function and the lower limit grade value of the membership function.

Grade calculating circuit for fuzzy inference

In a fuzzy inference system comprising a plurality of fuzzy rules including input labels as antecedents, a min-max computing circuit for executing min-max computation on input label grades is disclosed. The min-max computing circuit comprises an input label sorter 10 for sorting all input label grades in their magnitude order; and min-max computing logic devices 30, 40 for executing min-max computations on the input label grades according to the grade's magnitude order.

Growing community of inventors

Austin, TX, United States of America

William C Archibald