43 results about "Budget allocation" patented technology

A method and apparatus for temporally allocating bits between frames in a coding system such that temporal fluctuations are smoothed out. Namely, a picture quality is monitored on a frame by frame basis. An average distortion measure is derived from previous picture frames and that average is compared to the distortion measure of a current frame, where the result is used to effect bit budget allocation for each frame in an input image sequence.

The invention discloses a method for advertising by private information without publishing private information by an advertiser. The method has high safety, the whole process of core data is completely mastered by the advertiser without informing any third party; multiple advertising service providers are supported to be simultaneously managed so as to conveniently carry out budget distribution and advertising audience distribution and synchronization; the flexibility is high; and meanwhile, the whole advertising process can be actively controlled by the advertiser.

A system and method for formulating a bid on an impression for an Internet advertising campaign using market forecast data are provided. The system and method comprise determining a bid policy using an advertiser goal type, an advertiser payment type, and a budget parameter. Historical impression data pertaining to the advertising campaign is sampled using any applicable sampling technique. The sampled data is used to derive forecast data that predicts the future state of the market. The bid policy and the forecast data are used to derive a spend curve, from which an optimal bid is formulated that results in a proper and efficient allocation of the advertiser's budget.

Systems, apparatuses, methods, and software that implement power budget allocation optimization algorithms in multi-processor systems, such as server farms. The algorithms are derived from a queuing theoretic model that minimizes the mean response time of the system to the jobs in the workload while accounting for a variety of factors. These factors include, but are not necessarily limited to, the type of power (frequency) scaling mechanism(s) available within the processors in the system, the power-to-frequency relationship(s) of the processors for the scaling mechanism(s) available, whether or not the system is an open or closed loop system, the arrival rate of jobs incoming into the system, the number of jobs within the system, and the type of workload being processed.

The invention provides a traffic assignment method based on a traveler budget constraint. The traffic assignment method comprises the following steps: S1, acquiring network structure data and relevant parameter information of a target traffic network, and building an abstract traffic network; S2, determining a traffic demand of the target traffic network by using the abstract traffic network; S3, building a budget constraint model of the target traffic network according to the traffic demand; S4, building a traffic assignment model according to the budget constraint model; S5, solving and calculating the traffic assignment model to obtain an assignment result of the target traffic network. By adopting the traffic assignment method based on the traveler budget constraint provided by the invention, a more accurate quantified performance rating result is provided for the reconstruction of a traffic and transport network, a sufficient basis can be provided for congestion pricing, and other traveling services such as traveling plans can be provided for a user through a path traveling time index output by the model.

The invention discloses a distributed w-event differential privacy infinite streaming data distribution method. Through adopting a function monitoring technology based on a geometrical method to assist privacy budget allocation of users, the synchronization distribution of privacy budget among the users can be achieved. Meanwhile, the data distribution scheme of the invention is independent on a credible data centre, and all transmitted data is data containing noise and has higher safety. The invention provides two high available w- event differential privacy distribution schemes which are a dBD scheme and a dBA scheme, and can be flexibly selected according to characteristics of actual data.

Disclosed herein is a method and system for allocating advertising budget to media in online advertising. The method provides an optimal media mix through selection and combination of media in order of high media reach estimates for respective budget allocation units based on the number of media for which budget will be executed. With the method, the media mix to optimize media effects of advertisement campaign can be simply deduced, thereby maximizing a return on investment (ROI) of a client.

Embodiments of the present inventive concept relate to systems and methods for dynamically allocating and / or redistributing thermal budget to each memory group in a memory array from a total memory thermal budget based on the workload of each memory group. In this manner, the memory groups having a higher workload can receive a higher thermal budget. The allocation can be dynamically adjusted over time. Thus, the individual and overall memory group performance increases while efficiently allocating the total thermal budget. By dynamically sharing the total thermal budget of the system, the performance of the system as a whole is increased, thereby lowering, for example, the total cost of ownership (TCO) of datacenters.

The invention relates to combined optimization of tender and budget allocation in paid search. The problem is modeled to be a restrained optimization problem, and under the restraint of advertiser general budget and a tender price variation range, expectant advertiser revenue is maximized. Due to the solution of the optimization problem, an optimal budget allocation plan and an optimal tender price setup scheme can be obtained.

The invention discloses a differential privacy budget allocation-based data query method, which realizes privacy protection in data query and release processes. According to the scheme, by utilizing asequence combination property of differential privacy protection, a privacy budget sequence is obtained through establishing infinite non-uniform segmentation of a differential privacy budget total quantity; and according to a privacy budget allocated to each item in the sequence, Laplace random noises added in data are calculated. The method is simple and easy in operation, does not limit querytypes, ensures infinite segmentation of the privacy budgets, meets differential privacy protection conditions, reduces increment speed of added noises, enables released data to reflect real data as far as possible, and protects data privacy. The invention furthermore provides a differential privacy budget allocation-based data query system.

Embodiments of the present inventive concept relate to systems and methods for dynamically allocating and / or redistributing thermal budget to each processor from a total processor thermal budget based on the workload of each processor. In this manner, the processor(s) having a higher workload can receive a higher thermal budget. The allocation can be dynamically adjusted over time. The individual and overall processor performance increases while efficiently allocating the total thermal budget. By dynamically sharing the total thermal budget of the system, the performance of the system as a whole is increased, thereby lowering, for example, the total cost of ownership (TCO) of datacenters.

The invention discloses an advertisement value assessment method, a budget allocation method, and an investment assessment method and system. The method includes the a step S1 of obtaining the number of times of viewing a corresponding advertisement by each user at each channel provider; a step S2 of obtaining the actual amount of consumption of products related to the advertisement by each user; and a step S3 of assessing the amount of output value of a single browse of the corresponding advertisement played by each channel provider according to the number of times of viewing the corresponding advertisement by each user at each channel provider and the actual amount of consumption of the products related to the advertisement. The technical scheme of the invention obtains the amount of output value of the single browse of the corresponding advertisement played by each channel provider according to the number of times of viewing the corresponding advertisement by each user at each channel provider and the actual amount of consumption of the products related to the advertisement so as to assess the advertising effect of each channel provider for an enterprise according to the amount of output value and provide reference for the follow-up advertising budget allocation, thereby enhancing the advertising benefits of the enterprise.

The disclosure relates to an information processing method and apparatus and a terminal. The method comprises: establishing a group account based on account information of at least two users; processing e-commerce information of each user account in the group account to obtain an e-commerce information set of the group account; and when the e-commerce information of any one user account in the group account is changed, updating the e-commerce information set of the group account. By applying the information processing method and apparatus and the terminal which are provided by the embodiments of the present disclosure, the group account can be established by a terminal based on the account information of at least two users, the e-commerce information set of the group account is determined based on the e-commerce information of each user, and when the e-commerce information of any one user is changed, the e-commerce information set in the group account is updated correspondingly, so that each user in the group account can mutually share the e-commerce information, which is beneficial for managing budget allocation in a unit of a group, thereby improving interaction among the users of the group account and optimizing user experience.

A method for generating bids for a group of keywords includes accessing, over a computer network, budget data and historical spend data for at least two groups of keywords. The method also includes determining a baseline portion of a budget to be allocated to a first group of keywords. The method also includes predicting, with reference to the historical spend data and the historical budget allocation data, an unspent amount. The method also includes calculating, based upon at least one adjustable allocation parameter, a first portion of the unspent amount to be allocated. The method also includes allocating the baseline portion and the first portion of the unspent amount to the first group of keywords. The method also includes allocating a second portion of the unspent amount to the second group of keywords. The method also includes generating bids for the first group of keywords.

The rate controller in a digital video encoding system is responsible for allocating a bit budget for video frames to be encoded. The rate controller considers many different factors when determining the frame bit budget. One of the factors considered is the complexity of the frames being compressed. Occasionally there will be a very complex frame that is not representative of the overall video frame sequence. Such a rare complex frame may cause a disproportionate affect on the bit budget allocation. The system of the present invention limits the amount that a very complex frame can change the bit budget allocation. The rate controller of the present invention also includes a relaxation factor. The relaxation factor allows a user to determine if the rate controller should strictly allocate its bit budget or relax its standards such that the rate controller may not be so conservative when allocating bits to frames.

The invention relates to a multi-service cost budget requirement data processing method for an electric power enterprise. The system according to the multi-service cost budget requirement data processing method comprises a data collecting module, a data measuring and calculating module, a data scoring module, a data auditing module and a data budget transmitting module. The multi-service cost budget requirement data processing method aims at daily maintenance and daily management cost of the electric power enterprise. A unique code of a single specific item is compiled and stored according to the number of project dimension. Scoring and grading are performed through measuring a required sum and cost items. A cost item budget is audited and distributed. Item state control is detailed. The multi-service cost budget requirement data processing method has advantages of constructing closed-loop cost budget requirement data processing technology, realizing fusion of multi-service-cost item requirement of an enterprise and cost budget data, improving scientificity and rationality in cost requirement reporting, shortening cost budget screening and auditing time, preventing a fact that budget distribution exceeds an annual budget and the budget sum of the budget item, and improving budget distribution accuracy for the cost.

Systems and methods for determining delay budget allocations for circuit elements. One embodiment comprises a method including defining timing edges and corresponding timing paths in an integrated circuit design, and determining delay budget allocations for each of the edges based on required arrival time and design slack (S,T) pairs associated with the different timing paths. The required arrival time is a maximum time when associated with forward paths, and a minimum time when associated with backward paths. (S,T) pairs associated with some timing paths are discarded (i.e., the corresponding timing paths are trimmed) to reduce the complexity of the delay budget allocation computations. Remaining (S,T) pairs are used to determine scaling factors for significant timing paths through the edges. The smallest of the scaling factors for each edge can be multiplied by an initial delay associated with the edge to produce a delay budget allocation associated with the edge.

The invention provides a power budget allocation method and a power budget allocation apparatus, the method comprising: obtaining a system setting associated with a multi-core processor system, wherein the system setting comprises a core combination setting of the multi-core processor system and further comprises a frequency setting of each processor core selected by the core combination setting; obtaining a target power budget; and checking, by a power management controller, at least one power management table according to the system setting and the target power budget to generate a power management output for the multi-core processor system. The power budget allocation method and the power budget allocation apparatus are capable of efficiently adjusting the configuration of the multi-core processor system to meet the target power budget requirement.

Systems and methods for determining delay budget allocations for circuit elements. One embodiment comprises a method including defining timing edges and corresponding timing paths in an integrated circuit design, and determining delay budget allocations for each of the edges based on required arrival time and design slack (S,T) pairs associated with the different timing paths. The required arrival time is a maximum time when associated with forward paths, and a minimum time when associated with backward paths. (S,T) pairs associated with some timing paths are discarded (i.e., the corresponding timing paths are trimmed) to reduce the complexity of the delay budget allocation computations. Remaining (S,T) pairs are used to determine scaling factors for significant timing paths through the edges. The smallest of the scaling factors for each edge can be multiplied by an initial delay associated with the edge to produce a delay budget allocation associated with the edge.

The invention discloses a process management method for assisting hospital financial budget allocation decision, which comprises the following steps: A. Collecting budget historical data; B. Analysisand determination of the relationship between budget lines; C. constructing all feasible plan for budget allocation; D. Determining the optimal budget allocation decision. Budget-related data includehistorical data of budget allocation, reflecting that allocation demand of the hospital's own development goal, the relevant policy control requirements of government departments, etc., and the determination of the optimal budget decision also include budget adjustment, which refers to the specific budget allocation or adjustment scheme put forward according to the optimal allocation decision andthe development reality. The management system includes budget data acquisition module, budget project relationship analysis module, budget decision planning module and optimal budget decision module.The invention can not only reflect the development needs of the hospital itself, but also respond to the policy control objective, while maintaining the rationality of the budget distribution structure, and on the basis of that, the invention can find out feasible budget adjustment space for the decision maker, and the introduction of the method will help to improve the financial budget preparation procedure, quality and financial management level of the public hospital in China.

A method for allocating resources in a business model includes determining a plurality of goals for a specified business problem. A plurality of data parameters are extracted from the goals into a computer program and read by a computer. The data parameters represent each of the goals. The data parameters are analyzed to develop a problem set representing the data parameters. Target criteria are input into the computer program, and the target criteria relates to each of the goals and may include prioritizing and / or attributing a weight to each goal. A solution instruction set is developed using the target criteria and the problem set. A solution model is developed from the solution instruction set. The steps of inputting target criteria, developing the solution instruction set, and developing the solution model are repeated to develop additional solution models and an optimal solution model can ultimately be selected.

Systems, methods, and computer program products are provided for optimizing compensation allocations, and in particular, spiff allocations. With a limited budget, embodiments calculate optimized allocations or distributions of the budget to maximize employee productivity by analyzing input parameters associated with a productivity period, creating performance models for each employee or group of employees based on the analysis, and generating a budget allocation model so as to increase the sum output of the employee productivity. Approaches are data driven and modifiable to account for new data.

Embodiments of the present inventive concept relate to systems and methods for dynamically allocating and / or redistributing thermal budget to each memory group in a memory array from a total memory thermal budget based on the workload of each memory group. In this manner, the memory groups having a higher workload can receive a higher thermal budget. The allocation can be dynamically adjusted over time. Thus, the individual and overall memory group performance increases while efficiently allocating the total thermal budget. By dynamically sharing the total thermal budget of the system, the performance of the system as a whole is increased, thereby lowering, for example, the total cost of ownership (TCO) of datacenters.

The invention discloses an advertisement putting budget allocation method and device, and the method comprises the steps: building an index prediction model through fitting prediction, and obtaining an effect index prediction value corresponding to each budget allocation combination of each putting channel; moreover, utilizing the genetic algorithm to optimize and solve the effect index predictionvalues corresponding to various budget allocation combinations to obtain a plurality of budget allocation combinations with optimal effect indexes, and the method is used to perform budget allocationto maximize the revenue of advertisement putters.

A method (60) for controlling multiple tasks in a real-time operating system (110, 170) assigns priorities to two or more tasks (114, 115; 174, 175). A first task (114; 174) is assigned to be a More Important Task. A second task (115; 175) is assigned to be a Less Important Task. Each task is explicitly informed of its budget allocations. A Guaranteed Budget Margin is then allocated to the More Important Task along with a More Important Guaranteed Budget. A Less Important Guaranteed Budget is also allocated to the Less Important Task. At some point during execution, the higher priority or More Important Task (114; 174) may then determine that the More Important Task no longer requires the Guaranteed Budget Margin, in which case, a Conditionally Guaranteed Budget Margin is then allocated to the Less Important Task (115; 175).

Method, apparatus, computer program product and computer readable medium are disclosed for budget allocation in a data collection task. The method comprises; dividing the data collection task into a plurality of rounds (502); and determining a sub-budget for a round based at least partly on information about one or more previous rounds and an available average sub-budget for remainder rounds (504).

The invention relates to a power supply enterprise cost budget distribution method. The method is used for budget distribution for power supply enterprises. The power supply enterprise cost budget allocation method comprises the following steps: determining an allocation coefficient by adopting a data envelope analysis method and combining the mutual relationship between power supply enterprises according to the input and output states of the power supply enterprises, so as to allocate the total budget to the power supply enterprises based on the allocation coefficient corresponding to the power supply enterprises. According to the method, the reasonably selected input and output factors are adopted, and scientific and reasonable budget distribution is realized in cooperation with a data envelopment analysis method and the mutual relation between all power supply enterprises, so that the guidance and basic effects of the budget in resource configuration and improvement of efficiency are facilitated, and the high-quality development of the enterprises is promoted.

The invention provides a probabilistic real-time task scheduling method based on pWCET (probabilistic worst case execution time) shaping, and belongs to the technical field of real-time systems. A probabilistic real-time task scheduling scheme based on the pWCET shaping is proposed, so that the goals of properly isolating the influence between probabilistic real-time tasks and lowering the calculation complexity of system schedulability analysis are achieved. According to the method, the pWCET of the probabilistic real-time tasks is shaped, and budget allocation is performed on the basis of the shaped pWCET, so that while the probabilistic real-time requirements of the tasks are met, the influence between the probabilistic real-time tasks can be properly isolated, and the schedulability ofthe whole task set is remarkably improved. In addition, the value of the shaped pWCET is obviously reduced compared with that of original pWCET; the calculation complexity of the schedulability analysis can be lowered; and the efficiency is remarkably improved.