Abstract: Technology is directed to text message based concierge services (“the technology”). A user interacts with a concierge service (CS) via text messages to obtain a specific concierge service. For example, the user can send a text message to the CS, e.g., to a contact number provided by the CS, requesting for a recommendation of a restaurant, and the CS can respond by sending the recommendation as a text message. The CS determines a context of the request and generates recommendations that are personalized to the user and is relevant to the context. The CS can use various techniques, e.g., artificial intelligence, machine learning, natural language processing, to determine a context of the request and generate the recommendations accordingly. The CS can also receive additional information from a person associated with the CS, such as a concierge, to further customize or personalize the recommendations to the user.

Abstract: The disclosure is directed to determining, among a number of estimated market values of a real estate property, an estimated market value (EMV) that is closest to an EMV computed by an application (“application-computed EMV”). The application receives a property profile from a user, e.g., a seller, having pictures and description of a real estate property, e.g., a house. The application publishes the property profile to multiple member agents, e.g., real estate agents, who can provide an EMV of the real estate property based on their opinion. The application determines the application-computed EMV based on a variety of property data, e.g., sales and/or tax history of the real estate property or other related real estate properties, obtained and/or derived from various third party systems. The application then compares the application-computed EMV with member agent-provided EMVs to determine a member agent-provided EMV that is closest to the application-computed EMV.

Abstract: The disclosure is directed to determining, among a number of estimated market values of a real estate property, an estimated market value (EMV) that is closest to an EMV computed by an application (“application-computed EMV”). The application receives a property profile from a user, e.g., a seller, having pictures and description of a real estate property, e.g., a house. The application publishes the property profile to multiple member agents, e.g., real estate agents, who can provide an EMV of the real estate property based on their opinion. The application determines the application-computed EMV based on a variety of property data, e.g., sales and/or tax history of the real estate property or other related real estate properties, obtained and/or derived from various third party systems. The application then compares the application-computed EMV with member agent-provided EMVs to determine a member agent-provided EMV that is closest to the application-computed EMV.

Abstract: Technology is directed to text message based concierge services (“the technology”). A user interacts with a concierge service (CS) via text messages to obtain a specific concierge service. For example, the user can send a text message to the CS, e.g., to a contact number provided by the CS, requesting for a recommendation of a restaurant, and the CS can respond by sending the recommendation as a text message. The CS determines a context of the request and generates recommendations that are personalized to the user and is relevant to the context. The CS can use various techniques, e.g., artificial intelligence, machine learning, natural language processing, to determine a context of the request and generate the recommendations accordingly. The CS can also receive additional information from a person associated with the CS, such as a concierge, to further customize or personalize the recommendations to the user.

Abstract: In an un-tuned state, the strings of a string instrument are excited, and a standard adjustment factor is determined for each string. When a pitch is generated as a result of a string being strummed (e.g., during normal playing of the instrument), the pitch generated by the string is adjusted by the standard adjustment factor and an intonation adjustment factor that accounts for intonation errors. An adjusted pitch is output that is in-tune and has accurate intonation.

Abstract: In an un-tuned state, the strings of a string instrument are excited, and a standard adjustment factor is determined for each string. When a pitch is generated as a result of a string being strummed (e.g., during normal playing of the instrument), the pitch generated by the string is adjusted by the standard adjustment factor and an intonation adjustment factor that accounts for intonation errors. An adjusted pitch is output that is in-tune and has accurate intonation.

Abstract: A device and method is disclosed to correct intonation errors and generate vibrato in solo instruments and vocal performances in real time. The device determines the pitch of a musical note produced by voice or instrument and shifts the pitch of that note to produce a very high quality, high fidelity output. The device includes a pitch detector that automatically recognizes the pitch of musical notes quickly. The detected pitch is then used as an input to a pitch corrector that converts the pitch of the input to an output with a desired pitch. The corrected musical note is then in tune with the pitch standard. The device and method employ a microprocessor that samples the signal from a musical instrument or voice at regular intervals using an analog-to-digital converter and then utilizes data derived from an auto-correlation function of the waveform to continuously determine the period of the waveform. The period of the waveform is then compared to a desired period or periods (such as found in a scale).

Abstract: The present invention provides an efficient audio equalization system in terms of the number of coefficients and taps of a digital filter. The processing efficiency of the system allows it to provide audio equalization with high resolution at low frequencies using a 1/20-th the number of coefficients and taps in equivalent prior art systems. The resulting reduction in cost makes it economical to incorporate the system in hi-fi systems, home theaters, automobiles, televisions, etc. providing significantly improved sound quality with little or no overall increase in cost of production.

Abstract: A method for associating each descendent picked point with a parent seed point is disclosed which is used in a computerized method of automatically picking horizons from a three dimensional volume of seismic data traces. Such association of each and every point to each of its descendent picked points is recorded in computer memory. The method further includes displaying a path from a descendent picked point back to a starting seed point which led to its selection as a picked point.

Abstract: A method of communication in a computer system is provided for transferring information between multiple, concurrently operating programs, each of which may have a respective window display. The user communicates with each of the application programs through the window display as well as through an input device, such as a mouse or keyboard. A list of information codes is registered with a dispatcher program for each of the application programs which requires data. One or more of the application programs generate templates which include data and a corresponding information code. The generated templates are transmitted to the dispatcher program. The dispatcher program then compares the information code in the received template to the registered list of information codes to find any matches and thereby identify the one or more application programs which have registered to receive the information in the received template.

Abstract: A method of communication in a computer system is provided for transferring information between multiple, concurrently operating programs, each of which may have a respective window display. The user communicates with each of the application programs through the window display as well as through an input device, such as a mouse or keyboard. A list of information codes is registered with a dispatcher program for each of the application programs which requires data. One or more of the application programs generate templates which include data and a corresponding information code. The generated templates are transmitted to the dispatcher program. The dispatcher program then compares the information code in the received template to the registered list of information codes to find any matches and thereby identify the one or more application programs which have registered to receive the information in the received template.

Abstract: A method for associating each descendent picked point with a parent seed point is disclosed which is used in a computerized method of automatically picking horizons from a three dimensional volume of seismic data traces. Such association of each and point to each of its descendent picked points is recorded in computer memory. The method further includes displaying a path from a descendent picked point back to a starting seed point which led to its selection as a picked point.

Abstract: A method and apparatus of rapidly generating horizon maps from a three dimensional volume of seismic traces is disclosed. During batch processing of the digital data representing trace wavelets, "1"'s are "0"'s are determined for each seismic trace of the volume. A bit volume is produced of which a "1" at a depth of a trace indicates that a horizon exists at that depth and at other depths of "1"'s of adjacent traces which are within a predetermined depth. In a real time mode, an explorationist selects a seed point thereby identifying a "1" on a particular trace at a particular depth. An automatic scanning procedure finds all other "1"'s at depths of adjacent traces. Each found "1" of adjacent traces is redesignated a seed point and the process is continued until no more "1"'s can be found. A horizon map is created from the depths of each found "1".

Abstract: A method of rapidly generating horizon maps from a three dimensional volume of seismic traces is disclosed. During batch processing of the digital data representing trace wavelets, "1"'s or "0"'s are determined for each seismic trace of the volume. A "1" at a depth of a trace indicates that a horizon exists at that depth and at other depths of "1"'s of adjacent traces which are within a predetermined depth. In a real time mode, an explorationist selects a seed point thereby identifying a "1" on a particular trace at a particular depth. An automatic scanning procedure finds all other "1"'s at depths of adjacent traces. Each found "1" of adjacent traces is redesignated a seed point and the process is continued until no more "1"'s can be found. A horizon map is created from the depths of each found "1". A record is maintained of parent and child bits whereby seed bits are designated as parent bits and each found bit is designated a child bit.