36 results about "Embedded value" patented technology

Zone management infrastructure systems and methods are presented. A zone comprises a set of boundary conditions, which can include a geographic boundary. Zones further comprise a zone object representing the nature of the zone and the services or applications offered by the zone. Zone objects have intrinsic value based on their boundary conditions as well as the services they offer. Zone owners can allow third parties to offer services for the zone in exchange for a fee.

A statistical patent rating method and system is provided for independently assessing the relative breadth (“B”), defensibility (“D”) and commercial relevance (“R”) of individual patent assets and other intangible intellectual property assets. The invention provides new and valuable information that can be used by patent valuation experts, investment advisors, economists and others to help guide future patent investment decisions, licensing programs, patent appraisals, tax valuations, transfer pricing, economic forecasting and planning, and even mediation and/or settlement of patent litigation lawsuits. In one embodiment the invention provides a statistically-based patent rating method and system whereby relative ratings or rankings are generated using a database of patent information by identifying and comparing various characteristics of each individual patent to a statistically determined distribution of the same characteristics within a given patent population. For example, a first population of patents having a known relatively high intrinsic value or quality (e.g. successfully litigated patents) is compared to a second population of patents having a known relatively low intrinsic value or quality (e.g. unsuccessfully litigated patents). Based on a statistical comparison of the two populations, certain characteristics are identified as being more prevalent or more pronounced in one population group or the other to a statistically significant degree. Multiple such statistical comparisons are used to construct and optimize a computer model or computer algorithm that can then be used to predict and/or provide statistically-accurate probabilities of a desired value or quality being present or a future event occurring, given the identified characteristics of an individual patent or group of patents.

The invention discloses an urban flood prevention decision support system based on a big data technique. The urban flood prevention decision support system comprises steps as follows: S1, establishment of a historical water regimen database; S2, acquisition and storage of real-time water regimen data; S3, establishment of a combined water level prediction model; S4, real-time water regimen display and water level prediction; S5, statistical analysis of historical water regimen data. The system has the benefits as follows: the water level in 1-6 hours can be effectively predicted, so that decision support is provided for flood control and disaster reduction work when the urban flood season approaches. The system adopts a distributed database HBase and can effectively store mass water regimen data and cope with rapid growth of data, besides, a big data analysis engine Impala is used for real-time processing and analysis on mass historical water regimen data, intrinsic value of the historical data is explored with a data visualization technology and information guidance is provided for flood prevention work.

A system and method for providing an alternative model for accounting for stock options. A Strike Value Account is created on a Balance Sheet. User-selectable inputs are provided for indicating whether a Strike Value of the stock option is to be recorded on a balance sheet, whether the Fair Value of the stock options is to be equal to Market Value, whether to update a Carrying Amount of the stock options periodically, whether to keep the Strike Value Account on the Balance Sheet at all times, whether the Intrinsic Value of said options are to be expensed in Earnings, and whether options carried as Fair Value are to be expensed through Earnings. The present invention provides a more accurate assessment of and accounting for stock options via, e.g., the consideration of Strike Values and Intrinsic Values of the stock options.

A data structure of a run-time object having a hash value field. The data structure allows an object allocation site to be traced from the run-time object, the object allocation site being a site in a program allocating the run-time object. A method for allowing an object allocation site to be traced from a run-time object includes embedding a value corresponding to the object allocation site in the program. A hash-value field includes the embedded value and the object identifier, and the tracing is performed by identifying the object allocation site that corresponds to the embedded value. A computer system for tracing an object allocation site includes a memory that stores the run-time object; an acquirer that acquires the value from a hash value field; and an identification unit that identifies the object allocation site that corresponds to the acquired value.

The invention provides an information hiding and extracting method based on integer DCT (Discrete Cosine Transformation) coefficient modulation. An N-dimensional 2N+1-order magic cube matrix is constructed, carrier coefficients are respectively mapped in the N-dimensional 2N+1-order magic cube matrix by taking N carrier coefficients as a group, so as to obtain a mapping value, a value of to-be-embedded 2N+1 system number secret information is compared with the mapping value, if the two values are equal, the group of the carrier coefficients do not need to be modified, if the two values are not equal, only one carrier coefficient needs to be modified, so that the mapping value is equal to the to-be-embedded value, one carrier coefficient is modified, so that the embedding of formula bits of the secret information is completed, the embedding efficiency reaches up to formula, and the modification rate of the carrier coefficient is only 1/N, so that a computing process is simple, and the information hiding and extracting efficiency is improved.

The invention relates to a comprehensive evaluation method for quality of traditional Chinese medicine. According to the method, the comprehensive index of the quality of a sample is taken as a quantitative index for evaluating sample quality, the comprehensive index of the quality is calculated by adopting a triangle area method; first, normalization processing for data is performed by adopting a ratio method, so as to eliminate dimensions, and different evaluation result data are changed to be numerical values from 0 to 1; second, the triangle area method is adopted for carrying out integrated processing on data in three dimensions of experience, chemistry and biology, so as to obtain quality embedded values (triangle area numerical values) of samples in different batches; finally, when the all data in the three dimensions are 1, the triangle area is the maximal, and triangle areas of all samples are used for dividing the maximal triangle area, so as to obtain the comprehensive index of the quality. According to the method in the application, the comprehensive index of the quality embodies the integral view of the traditional Chinese medicine, blends traditional cognition and modern cognition, and connects efficacy and safety.

The WEB Site Valuation System identifies each user's personal attribution of value to a selected WEB site. The attribution is constrained by assigning each user a predetermined number of assignable credits/tokens from which the user can draw to “deposit” or “withdraw” previously deposited credits in the “account” of a WEB site. The tally of credits for each WEB site is then a direct indication of the value provided to users. This ultimately creates a token economy for and within the WEB, based upon user opinion of the value of WEB sites. The dynamic mapping and correlation of these value indications with the users' characteristics provides analytical data that can be used to determine the relevance of the WEB site to various socio-demographic populations, as well as the response of the users to changes in the WEB site, market forces, and/or the entire community of WEB sites.

The WEB Site Valuation System identifies each user's personal attribution of value to a selected WEB site. The attribution is constrained by assigning each user a predetermined number of assignable credits/tokens from which the user can draw to “deposit” or “withdraw” previously deposited credits in the “account” of a WEB site. The tally of credits for each WEB site is then a direct indication of the value provided to users. This ultimately creates a token economy for and within the WEB, based upon user opinion of the value of WEB sites. The dynamic mapping and correlation of these value indications with the users' characteristics provides analytical data that can be used to determine the relevance of the WEB site to various socio-demographic populations, as well as the response of the users to changes in the WEB site, market forces, and/or the entire community of WEB sites.

A shared information creating device capable of detecting false alteration of shared information with high probability even if a traitor has shares the number of which is above a threshold and creating shared information whose data size is smaller than that of secret information. A recovering device, a recovery result verifying device, and a secret information sharing system, program, and method are also provided. The shared information creating device generates a polynomial F in which secret information s is embedded, outputs a shared secret information, generates a polynomial G in which the output of when a fixed value t is substituted in the polynomial F is embedded as secret information, and creates shared secret information. A recovering device receives k sets of shared secret information to generate a polynomial F′, and receives k sets of shared shared secret information to generate a polynomial G′. When the value embedded as secret information in the polynomial G′ is equal to the output of when the fixed value t is substituted in the polynomial F′, the embedded value is outputted. When they are not equal, information indicating falsification detection is outputted.

The invention provides a data asset value evaluation method. The method comprises steps: a data asset value evaluation model is built; data asset cost is read; a data asset application evaluation coefficient is read; the data asset cost and the data asset application evaluation coefficient are inputted to the data asset value evaluation model to obtain a data asset value evaluation value. Starting from the cost, in combination with the application process, the method of the invention builds the data asset value evaluation model, the intrinsic value and the use value of the data assets are quantified, multi-angle value evaluation of the data assets is realized, and maximized realization value of the data assets is promoted.

In one embodiment, a system and method for processing a marker transaction by a customer of a gaming establishment via a kiosk. The customer has a marker account prior to initiating the marker transaction at the kiosk. The kiosk is adapted to communicate with (i) a marker account system to process the transaction and (ii) a gaming media system for marker payouts in the form a gaming media, such as gaming scrips. By providing the customer with gaming scrips having no intrinsic value, the gaming establishment at most assumes a deferred risk and possibly little or no risk at all for having issued the marker to the customer.

The invention discloses a reversible information hiding method based on dynamic prediction of pixel values. The method is characterized by comprising the following steps: 1) dynamically predicting pixel values; 2) embedding secret information; 3) extracting the secret information and recovering images. The method is high in hiding capacity, and precision of the predicted pixel value is high through dynamically predicting the pixel value, and an optimal embedded value is adjusted according to hidden information capacity, so that image distortion after hiding the information is small, and hidingeffect is good.

A financial instrument includes a token representation of a complementary currency associated with the primary currency, whose value amount is substantiated and secured by an asset base having intrinsic value, and enables at least a portion of the value of the primary currency to be payable upon redemption or exchange to at least one of a social, environmental or non-secular recipient or cause, as defined by a holder of the financial instrument.

The embodiment of the invention provides a big data tracing method and system, and the method comprises the steps: enabling a binary image watermark to be converted into an original byte flow watermark, and carrying out the encryption of the original byte flow watermark, and obtaining a digital watermark and a shared key; converting the primary key and the text data in each record in the originalbig data into digital fingerprints corresponding to each record; dividing all records in the original big data into n groups based on the digital fingerprint, n being the number of pixel points of thebinary image watermark, wherein each record and the digital fingerprint corresponding to each record correspond to one pixel in the binary image watermark, namely one bit in the digital watermark; and taking one bit in the digital watermark as an embedded value, and embedding the embedded value into numeric data in each record in the big data. The embodiment of the invention has the following advantages: the problems of poor algorithm robustness, poor deletion attack resistance, poor increase attack resistance and the like in the prior art are solved.

The invention discloses an interpretation method and device of an embedding result. The method comprises: adopting an embedding algorithm to carry out embedding processing on embedded objects, obtaining an embedding result of each embedded object, wherein the embedding result comprises a plurality of dimensions of embedding values; According to the extreme value of the embedded value, extracting an embedded object with the embedded value meeting a significant condition under each dimension as a significant training sample; For each dimension, training an interpretation model by adopting the sample characteristics of the significant training samples under the dimension and the significant category tags; And based on a trained explanation model, determining the explanation characteristics ofthe significant training sample belonging to the significant category, and taking the explanation characteristics as the explanation characteristics of the embedding result under the dimension.

The invention discloses a submarine cable embedding protecting judging method based on the undrained shear strength. The method includes the following steps that 1 a submarine cable is led into a seabed cut groove cut by a high-pressure water pump; 2 the actual embedded value of the submarine cable is detected; 3 the current undrained shear strength of the seabed geological soil is obtained; 4 the minimum embedded value corresponding to the current undrained shear strength of the seabed geological soil is calculated; and 5 the minimum embedded value is compared with the actual embedded value, and a submarine cable embedding protecting project is evaluated. During embedding, by comparing the actual embedded value with the minimum embedded value corresponding to the undrained shear strength of the seabed geological soil, whether the embedding protecting project reaches the standard is judged, overall detection of the whole project is not required after construction is finished, and a large quantity of labor and financial resources are saved.

The invention provides a digital audio signal processing method, and the method comprises the specific steps: selecting frame 0 as an embedded audio frame based on an MP3 frame structure; selecting apredetermined embedded bit, and setting the predetermined embedded bit as a to-be-embedded value, wherein the scaling factor value of the frame edge information of the predetermined embedded bit is 0,and the predetermined embedded bit is located in the scaling factor of a predetermined band in a non-short window of an audio frame. The invention also provides a digital audio signal processing method, and the former frame 0 reads the value of the predetermined embedded bit of the scaling factor. The method can achieve the data embedding and reading of the former audio files or data after compression and coding.

The invention relates to an EVA (economic value added)-based modeling method of a data value evaluation model. The method includes the following steps that: (1) data construction cost J is obtained, and data operation cost Y is calculated; (2) data cost P0 is calculated according to the data construction cost J and the data operation cost Y based on a formula that P0=J+Y; (3) an economic value added (EVA) is calculated according to a formula that EVA=W0-J, wherein EVA represents the economic value added, W0 represents data application economic benefits, and J represents the data construction cost; and (4) the data value valuation model is constructed. With the EVA (economic value added)-based modeling method of the data value evaluation model of the invention adopted, the internal value and use value of data can be expressed as quantitative indexes, multi-angle value evaluation on the data can be realized, the quantitative representation of the data value of an information system can be achieved, and the optimization of the data management of the information system can be promoted.

Embodiments of the present disclosure include a communication network and a financial data computer server coupled to a user computing device through the communication network. The financial data computer server stores and processes financial data information. The user computing device may request and receive, from the financial data computer server, a market price for a primary entity and three variables based on financial data information of the primary entity. Further, the user computing device may render a primary point in a three-dimensional scatter plot of the market price of the primary entity based on the three variables and calculate a spherical distance of the primary point to the origin to determine and compare market price to the intrinsic value of the primary entity based on the spherical distance and a predetermined threshold.