170 results about "Benefit analysis" patented technology

Customers often have access to multiple payment methods for any given transaction. In one embodiment of the invention, a merchant obtains information regarding multiple payment methods from a customer, and sends said information to a transaction evaluator. Via computer networks, the transaction evaluator sends information about the transaction to the issuers of one or more of the payment methods. The issuers perform a cost / benefit analysis of the transactions and respond with a description of the terms under which they are willing to process the transaction. Based on the issuer response, the transaction evaluator selects one of the payment methods. By enabling participating issuers to select favorable transactions and avoid unprofitable ones, the invention can thus improve issuer profitability by directing profitable transactions to participating issuers while directing unprofitable transactions away from participating issuers or to alternate transaction methods that are more profitable or less costly.

The present invention relates to utilizing identity and context-sensitive decision-making for handling communications, including, channel selection, routing, and rescheduling operations. The systems and methods provide a service that allows users to assess preferences regarding real-time call handling and performs dynamic decision-making about the best timing and channel for interpersonal communication. This service can be based on various cost-benefit analyses (e.g., basic and extended) that consider cost of interruption and preferences of contactors and contactees to guide communications, and / or on decision-making under uncertainty. Statistical models that are learned from data are joined with user preferences to generate expected costs of interruption for office activity and over time, based on a user's activities, locations, calendar information and preference assessments. In addition, statistical forecasting provides presence and availability predictions. The foregoing can provide an enhanced interpersonal communication system that can maximize the value and minimize the cost of communication among people.

The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and / or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers.

An apparatus includes a logistics manager that includes a processor. The logistics manager is communicably coupled to at least one of a first wireless communication module onboard a first vehicle and a second wireless communication module onboard a second vehicle. The logistics manager is configured to: receive, via the first wireless communication module, first data regarding the first vehicle, where the first data is provided by a first sensor module onboard the first vehicle; receive, via the second wireless communication module, second data regarding the second vehicle, where the second data is provided by a second sensor module onboard the second vehicle; and provide navigational commands to at least one of the first vehicle and the second vehicle based on a cost and benefit analysis in response to at least one the first data and the second data.

Methods are disclosed for the simplification and integration of data from a diverse set of sources for environmental costs and societal benefit data. The methods allow for the computation of five basic metrics: material use, water use, energy use, toxics emitted, land use and overall pollutants emitted. Further, they facilitate the computation of complementary metrics, as well as the estimation of net present value of costs of unrealized environmental impacts.

A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

A proactive adaptive radio methodology for the opportunistic allocation of radio spectrum is described. The methods can be used to allocate radio spectrum resources by employing machine learning to learn models, via accruing data over time, that have the ability to predict the context-sensitive durations of the availability of channels. The predictive models are combined with decision-theoretic cost-benefit analyses to minimize disruptions of service or quality that can be associated with reactive allocation policies. Rather than reacting to losses of channel, the proactive policies seek switches in advance of the loss of a channel. Beyond determining durations of availability for one or more frequency bands statistical machine learning also be employed to generate price predictions in order to facilitate a sale or rental of the available frequencies, and these predictions can be employed in the switching analyses The methods can be employed in non-cooperating distributed models of allocation, in centralized allocation approaches, and in hybrid spectrum allocation scenarios.

A system and methods that enables smart charging for electric resources. A smart charging method may include smart charging customer guarantees. The charging behavior guarantee may comprise a guaranteed charging schedule that matches a regular charging schedule of an electric resource and provides power flow flexibility. A smart charging method may also include periodically updated schedules. In addition, a smart charging method may manage electric resources via a smart charging benefit analysis. A smart charging benefit may include an impact resulting from the energy management system which is beneficial to an electric resource. A smart charging method may manage the charging behavior of the electric resources on a grid based on the smart charging benefit. Further, a smart charging method may manage electric resources via a smart charging benefit analysis and smart charging customer guarantees. A smart charging method also may schedules with overrides, and may involve a method for local load management in the presence of uncontrolled loads. A smart charging method for managing electric resources may also provide direct control over prices-to-devices enabled devices.

A system and methods that enables smart charging for electric resources. A smart charging method may include smart charging customer guarantees. The charging behavior guarantee may comprise a guaranteed charging schedule that matches a regular charging schedule of an electric resource and provides power flow flexibility. In addition, a smart charging method may manage electric resources via a smart charging benefit analysis. A smart charging benefit may include an impact resulting from the energy management system which is beneficial to an electric resource. A smart charging method may manage the charging behavior of the electric resources on a grid based on the smart charging benefit. Further, a smart charging method may manage electric resources via a smart charging benefit analysis and smart charging customer guarantees.

The invention provides a watershed refined management system integrating a water environment model. The refined management system is provided with a database, the database stores hydrological data, meteorological data, pollution source data and water quality monitoring data, watershed river network meshing information stored in a river network meshing module divides a watershed into sub-computingunits, a sub-computing unit mesh of an entire watershed water system is finally determined, a model calculation module is used for simulating the pollutant concentration of each sub-computing unit mesh in the watershed to, and based on a water environment model, a water pollution accident analysis method, a pollution source response and treatment project benefit analysis method and a water qualitystandard exceeding influence backtracking pollution source method are constructed, thereby achieving the dynamic and refined management of pollution sources, projects, water quality and the like in the watershed.

The invention discloses a comprehensive benefit analysis-based micro-power-grid optimal configuration method comprising the following steps: operation environment data and load data of distributed power sources in a micro-power-grid are collected; according to a distributed power source model and a micro-power-grid operation solution, output data and comprehensive benefit evaluation indexes of the distributed power sources are obtained; according to the comprehensive benefit evaluation indexes and corresponding weighing coefficients, a comprehensive benefit object function with a distributed power source quantity as a variable is built; the comprehensive benefit object function is solved via a particle swarm optimization algorithm; the distributed power source quantity satisfying constraint conditions is obtained and used a configuration quantity of the distributed power sources in the micro-power-grid; via the method, an overall benefit and comprehensive benefit evaluating system of the micro-power-grid can be comprehensively built, effects exerted by all factors in micro-power-grid planning operation can be accurately analyzed, investment cost can be lowered, and energy utilization efficiency can be improved.

The present invention relates to a method and apparatus where pre-defined diagnostic medical agent administration data are prospectively collected and analyzed, in order to provide an objective contrast administration risk-benefit analysis, and provide an impartial analysis for pre-testing assessment, as well as optimization of examination, contrast selection and performance parameters. By storing this data in a standardized and centralized fashion, the data could in turn be used for clinical outcome analysis on a local, regional, and national level.

The invention discloses a photovoltaic power generation system output power modeling and estimation method. The photovoltaic power generation system output power modeling method comprises the steps of establishing a photovoltaic module current-voltage characteristic model according to a solar cell current-voltage characteristic model, simplifying the photovoltaic module current-voltage characteristic model, and establishing a photovoltaic power generation system output power model according to the simplified photovoltaic module current-voltage characteristic model. The photovoltaic power generation system output power estimation method comprises the steps of establishing the photovoltaic power generation system output power model, acquiring characteristic parameters under photovoltaic module standard test conditions, obtaining parameters in the output power model, obtaining original meteorological parameters, correcting the meteorological parameters into photovoltaic module actual operating temperature and absorbed effective irradiation, and inputting the corrected meteorological parameters to the model to obtain photovoltaic module output power. By means of the photovoltaic power generation system output power modeling and estimation method, accurate estimation of output power of a photovoltaic power generation system can be realized, power station designers can be helped to carry out benefit analysis, and prediction of the output power of the photovoltaic power generation system is realized.

A method for verifying and improving a vehicle fault model is disclosed. The method includes analyzing the available field failure data that includes vehicle symptoms and failures for many vehicles. The method performs an analysis using the field failure data that includes using subject matter expert knowledge to determine the most significant failure modes and the most significant symptoms. The method also includes learning simulation parameters from the field failure data and simulating faults using the learned simulation parameters. The method further includes verifying and validating the fault model based on the most significant failure modes and the most significant symptoms from the what-if analysis and the faults identifies by the simulation, and using a diagnostic reasoner to analyze the revised fault model to generate estimated faults. The method then compares the estimated faults to the simulated faults to determine true detection and false alarm rates for a benefit analysis.

A system and method for providing cost-benefit analysis for treatment of a chronic disease such as cancer. The system enables a user to provide input parameters related to a patient, and performs statistical and computational analysis of case histories of other patients and retrospective data related to one or more disease treatment protocols to generate a set of output parameters (potential outcome of the treatment protocols) along with their statistical significance and probability. In addition, the system estimates the cost associated with the treatment protocols using cost related information available for tests, procedures, surgeries, etc., to be performed in a treatment protocol. The average cost and the set of output parameters are displayed to the user which helps in performing the cost-benefit analysis.

The invention relates to a decision method for optimizing an objective net support structure of a medium-voltage distribution network based on a reliability program. The method comprises the following steps of: actually analyzing a current situation distribution network to obtain a current situation typical net support structure, and performing reliability quantitative evaluation on the current situation typical net support structure; determining an alternative objective net support structure meeting a reliability requirement by using a reliability-based distribution network planning method and a reliability assessment method by drawing lessons from advanced experiences of distribution network net support structure at home and abroad; providing a transition program and the optimal reconstruction time for reconstructing the current situation net support to an objective net support; and finally, performing investment estimation and power distribution reliability cost / benefit analysis on a reconstruction program to obtain the objective net support structure which satisfies a reliability goal and has the optimized economical efficiency. For distribution network planners, the problems in three aspects of reliability goal setting, reliability-based distribution network planning and objective net support structure can be solved by using the method. By using the method, under reasonable investments, the expectant reliability level is achieved, and wasted investments are avoided.

The invention discloses an abnormal data detection and modification method based on a numerical value relevance model. The method includes the following steps that first, abnormal data judgment conditions are defined by a display module and stored into a source indicator database; second, a data access layer traverses service indicator data in the source indicator database, judges whether the service indicator data meet the abnormal data judgment conditions or not and displays the service indicator data meeting the abnormal data judgment conditions in the display module, and meanwhile the third step is executed; third, the service indicator data meeting the abnormal data judgment conditions are modified by a service logic module, and the modified data are stored into the source indicator database according to needs. The abnormal data detection and modification method based on the numerical value relevance model greatly improves accuracy of service data of a power grid and accuracy for calculating statistical data groups, makes the statistical analysis result more reliable and provides favorable data support for enterprises in the respects of investment evaluation, benefit analysis and the like.

The invention discloses a vacancy filling system for measured point data and a vacancy filling method. The vacancy filling system comprises a business indicator data detecting system and a data filling system connected with a business indicator data detecting module, wherein the business indicator data detecting system comprises a source business indicator database module, a data access module connected with the source business indicator database module, a business logic module connected to the data access module, and a data display module connected to the business logic module; and a linear regression filling system, a mean value filling system and an artificially filling system are arranged in the data filling system. According to the vacancy filling system and the vacancy filling method disclosed by the invention, the correctness of business data is greatly improved, the computation precision of a statistic data group is improved, a statistic analysis result is more reliable, and more advantageous data support is provided for jobs such as enterprise investment evaluation and benefit analysis.

A method, apparatus, and computer program product for providing a consulting assessment environment. Consultants may use the environment to define templates that encode questionnaires and domain knowledge regarding business practices, as well as reporting criteria to specify the content and format of the assessment results. Consultants or their clients may use the environment to automate the process of performing assessments and generating reports from those assessments. These assessments may analyze the current state of the business, compare the business's current state with desired states or with best practices, and perform risk / benefit and / or cost / benefit analyses, according to the specifications made in the templates on a real-time basis for producing immediate assessment results and actions. An information hiding feature is provided to allow sensitive domain knowledge encoded within the templates, such as trade secrets, to be made inaccessible to clients.

A set of internal processes of a business entity can be identified. At least one compliance standard can be selected. Each compliance standard can include a set of required processes for compliance. The internal processes can be programmatically compared against the set of required processes for the compliance standard. Differences between the internal processes and the required processes can be determined. A compliance cost can be estimated based at least in part upon the determined differences. An expected benefit of satisfying the compliance standard can be determined as can an expected return on investment. When compliance standards change, new compliance standards emerge, and / or business factors of the entity change, data used in previous runs can be re-used. Data concerning internal processes of the entity can be reused when determining compliance costs / benefits for a different standard.

The invention discloses an analysis method of renewable energy grid-connected power generation. The analysis method comprises the steps of direct economic benefit analysis, auxiliary service cost analysis and environmental benefit analysis, wherein the direct economic benefit analysis comprises the step that a system dynamics model of the direct economic benefit analysis of the renewable energy grid-connected power generation is established, and the model includes renewable energy generating capacity, renewable energy grid-connected power generation incomes and renewable energy grid-connected power generation costs; for the auxiliary service cost analysis, the auxiliary service refers to a necessary service for maintaining the safe and stable operation of electric system and ensuring power quality, a system dynamics model of the auxiliary service cost analysis is established, and the model includes peak regulation costs, frequency modulation costs and spinning reserve costs; and the environmental benefit analysis comprises the step that a system dynamics model of the environmental benefit analysis of the renewable energy grid-connected power generation is established, the model adopts the system dynamics principle, analyzes the relations of elements of the environmental benefit of the renewable energy power generation, and mainly includes renewable energy generating capacity and emission reduction benefits under the support of correlation techniques and policies.

The invention belongs to the field of an electric power system, in particular relating to a method for analyzing and optimizing the reliability cost / benefit precision of power supply. In the method, when a distribution network plan is carried out with the improvement of power supply reliability as a target, a reliability cost / benefit analysis curve can be obtained during individual implementation of each measure through actually analyzing various reliability improvement measures by utilizing the method; then the curves corresponding to the various measures are combined to formulate a reliability optimized strategy in combination with various measures by utilizing a classical reliability cost / benefit precision analysis theory of power supply; a reliability optimized path is selected from the combined curve by utilizing the strategy and can be further analyzed into the actual investment of each optimized measure, and further an implementation scale required for each measure can be obtained; and finally, the implementation scale is put into a specific scheme by combining the actual condition of a distribution network.

The invention discloses a power distribution network low-voltage treatment scheme analysis method and system. The method includes the steps: acquiring basic data and a low-voltage treatment goal inputted by a user; analyzing the basic data to obtain a current low-voltage present situation level and low-voltage treatment preliminary scheme; performing investment calculation and benefit analysis for the preliminary scheme and acquiring an optimal scheme according to the low-voltage treatment goal; acquiring a comprehensive scheme according to the optimal scheme and an overall treatment goal obtained according to the current low-voltage present situation level. As the comprehensive scheme is the best scheme obtained according to the preliminary scheme, the optimal scheme, the overall treatment goal and the low-voltage treatment goal, the best treatment scheme can be rapidly and quantitatively calculated.

Memoization may be deployed using a configuration file or database that identifies functions to memorize, and in some cases, includes input and result values for those functions. The configuration file or database may be created by profiling target code and offline or otherwise separate analysis of the profiling results. The configuration file may be used by an execution environment to identify which functions to memorize during execution. The offline or separate analysis of the profiling results may enable more sophisticated analysis than could otherwise be performed in parallel with executing the target code, including historical analysis of multiple instances of the target code and sophisticated cost / benefit analysis.

The invention discloses an optimized layout method for variable speed limit signs on an expressway mainline. The optimized layout method comprises the following steps: identifying a hazardous bottleneck road section on an expressway based on an accident risk forecasting model, then determining the length of a variable speed limit control road section according to threshold value setting, setting various variable speed limit sign layout density schemes, solving an optimal control strategy for each scheme, and performing investment-benefit analysis aiming at different schemes to determine an optimal speed limit sign layout scheme. According to the optimized layout method, the shortcoming that no theoretical support is provided for variable speed limit sign layout in the conventional research is overcome; the length of the variable speed limit control road section and the speed limit sign layout density are determined according to a traffic safety improvement effect and an investment-benefit ratio, so that a variable speed limit control concept and the strategy can achieve the best benefit.

The invention provides a clearing method for participation of multi-element small and micro subjects in spot market based on virtual power plant, and solves the risk problem brought by uncertainty ofcompetitors to VPP earnings in a transaction decision game process. The method comprises the steps: firstly, constructing a double-layer clearing model considering electricity price uncertainty and constraint conditions of the double-layer clearing model based on power grid side VPP parameters and information of electric energy buyers and sellers; secondly, solving the double-layer clearing modelbased on constraint conditions of the double-layer clearing model to obtain an optimal bidding result and an optimal income of a day-ahead frequency modulation market of day-ahead energy and duration;and finally, obtaining the bid winning condition, the optimal quotation and the clearing price of each market subject according to the optimal bidding result and the optimal income. According to themethod, through the two-stage double-layer clearing model and the two-stage double-layer constraint condition established by the clearing method, visual benefit analysis and bidding decision of the peak regulation market in which the power grid side energy storage participates in considering the electricity price uncertainty can be simply and conveniently achieved.

Thus, the invention provides a new method for generating a multi purpose cost / benefit analysis based on the generation of a multi dimensional database. Starting from this database, different models for various medical scenarios can be created.More precisely, the present invention is related to a method and a database for optimizing design, delivery and implementation of innovative products in healthcare. More precisely, a current treatment scenario of a patient is being loaded from a memory, a default case or a stored scenario from previous customer interviews or publication. The current treatment scenario is modified by input relating to new options such as application of a new health care product. Effects on the current healthcare provider's cost, resource utilization and medical outcome record are determined. Viewpoints of single or various stakeholders involved can be activated. Multiple scenarios can easily be created, so stakeholders can investigate sensitivity of their scenario to key uncertainties.

In some examples, a server may receive usage data from a computing device, determine a usage profile of the computing device, and determine that a component of the computing device is predicted to fail and at what time. If the time is within a warranty period of a current warranty, then the server may recommend purchasing an upgraded warranty and provide a cost-benefit analysis of purchasing the upgraded warranty. If the time is outside the warranty period, then the server may recommend purchasing an extended warranty and provide a cost-benefit analysis of purchasing the extended warranty. The server may use the usage data to make a recommendation to upgrade one or more components (e.g., memory, disk drive, network card, or the like) of the computing device. The server may use the usage data to make a recommendation to upgrade from the computing device to a different computing device.