38 results about "Quality constraint" patented technology

Differential modulation schemes encode a data channel within host signal or noisy environment in a manner that is robust, flexible to achieve perceptual quality constraints, and provides improved data capacity. Differential arrangements enable a decoder to suppress host signal or other background signal interference when detecting, synchronizing and extracting an encoded data channel. They also enable the incorporation of implicit or explicit synchronization components, which are either formed from the data signal or are complementary to it.

Sparse signal modulation schemes encode a data channel on a host image in a manner that is robust, flexible to achieve perceptual quality constraints, and provides improved data capacity. The host image is printed by any of a variety of means to apply the image, with sparse signal, to an object. After image capture of the object, a decoder processes the captured image to detect and extract data modulated into the sparse signal. The sparse signal may incorporate implicit or explicit synchronization components, which are either formed from the data signal or are complementary to it.

The present invention addresses the previous of lack of subscriber identity tracking and management for residential broadband lines and provides customized access and enhanced IP services for a subscriber's household members (virtual user domain) and his/her circle of extended families, relatives, and friends (multiple virtual user domains). Rather than treating a broadband link as a single connection with a single set of services and quality constraints, the present invention enables the subscriber to create multiple user profiles per broadband link; tailor activities such as web services to a specific user and group profile; provide restricted access to minors (e.g. allow only age appropriate content to be viewed); and facilitate connection at multiple access points on a carrier's edge network.

Techniques for performing a task while preserving the privacy or confidentiality of information used as input for the task. In one embodiment the task is broken down into smaller tasks (called subtasks or microtasks), which are then outsourced. The input information for each microtask is based upon and is generally a subset of the input information received for the task. The determination of microtasks for the task is performed in such a manner that constraints associated with the task are satisfied. For example, microtasks may be determined for the task based upon risk (e.g., the risk associated with the privacy or confidentiality of the input information being compromised as a result of the outsourcing), quality constraints (e.g., desired quality of the work product resulting from performance of the task), cost constraints, and other constraints associated with the job.

The invention relates to a method for optimizing and configuring a power supply of a grid-connection-mode microgrid, which belongs to the field of the optimization planning of an electric network. (when a power output constraint and quality constraint condition of a power supply in the microgrid is satisfied, the configuration capacity of each distributive power supply of each type is optimized and selected, the power construction expense, the operation expense and the damage of the microgrid under the grid-connection mode are adequately considered, a minimal total investment sum is adopted as a target function, a penalty function is introduced, the improved particle swarm optimization is used for solving the function, adaptability of a particle swarm is calculated by utilizing the penalty function when the constraint condition is not satisfied, and an optimal result is enabled to fall in the constraint range). For the operation characteristics of the grid-connection-mode microgrid, complementation of the inner power supply of the microgrid and the traditional power supply of a large grid as well as randomness of wind-optical resource and fluctuation of a load are considered, so that the economical performance of the power investment is optimal when the microgrid under the grid-connection mode satisfies the constraint condition.

The invention belongs to the technical field of mobile communication, Particularly, the invention relates to a power allocation method of cognitive radio energy efficiency optimization based on non-orthogonal multiple access, which comprises the following steps: determining a consumption rate of a maximum transmission power of a subchannel according to an interference power constraint of each primary user; determining a consumption rate of a minimum transmission power of the subchannel according to a cognitive user quality of service constraint of each multiplexed user; To maximize the systemenergy efficiency as the optimization objective, in order to meet the maximum transmission power consumption rate and the minimum transmission power consumption rate of the sub-channel, obtaining theenergy efficiency optimization model, obtaining power allocation coefficients of cognitive users in subchannels based on convexity programming and normalization. The fractional programming problem istransformed into an equivalent convex problem by using Charnes-Cooper transform, and the optimal power consumption in subchannels is solved by using KKT condition and Lagrange multiplier method. On the premise of ensuring the service quality of the cognitive user and the fairness of the system, the average energy efficiency performance is superior to the fractional-order power distribution method.

The invention discloses a method for selecting web services guided by a user certainty degree in a Cloud environment. The method includes the following steps: (1) modeling according to requirements of a user, (2) carrying out discretization processing on a reference weight WA of the user, (3) filtering an available candidate web service set for the first time by means of non-numeric quality constraint, (4) processing data in the step (3) by means of a hierarchical iteration pairwise combination method, (5) processing a combination weight of each set in the step (2) to obtain a web service Comp Service List recommended for the user, (6) choosing a web service combination scheme by the user in the web service Comp Service List, and choosing the corresponding web service according to the web service combination scheme.

The invention relates to a track initiation method based on multi-dimensional measurement information. The method comprises the following steps of acquiring measuring point trace set of different scanning periods; establishing a temporary track for the point trace set of the initial scanning periods; in a non-initial scanning period, calculating a Doppler speed by using the Doppler information ofthe point traces; matching the trace point set with a temporary track set by using the Doppler speed information and a logic method; judging whether the temporary track is successfully matched, and ifthe temporary track is successfully matched, updating the temporary track information; and establishing track quality constraint conditions for the temporary tracks meeting the requirement of the number of the point traces by utilizing the amplitude information of the point traces, and performing screening and track initiation. Under the condition of more clutter residues, the track initiation method can realize normal initiation of a target track through two-dimensional constraint of Doppler dimensions and amplitude dimensions, reduces generation of false tracks, and can improve track initiation performance under a complex background compared with the traditional track initiation method.

A method for instance-based sentence boundary determination optimizes a set of criteria based on examples in a corpus, and provides a general domain-independent framework for the task by balancing a comprehensive set of sentence complexity and quality constraints. The characteristics and style of naturally occurring sentences are simulated through the use of semantic grouping and sentence length distribution. The method is parameterized so that it is easily adapts to suit a Natural Language Generation (NLG) system's generation.

An illustrative seismic while drilling system includes a drill string having at least one seismic sensor that can be employed to detect seismic signals during pauses in the drilling process, e.g., when extending the length of the drill string. An embedded processor digitizes a signal from the seismic sensor to obtain a digital waveform and processes the digital waveform to derive a compressed waveform representation for storage or transmission. Compression is provided by adaptively reducing the sampling rate and quantization resolution subject to one or more quality constraints including, e.g., error in first break timing, error in first break sign, mean square error, and bit count. Reasonably good representations of the received acoustic waveforms can be achieve with less than 200 bits.

The invention discloses a load shedding optimization model taking into consideration primary and second frequency modulation and minimum frequency deviation. Frequency deviation is added to an objective function of the optimization model, and the minimum weighted sum of the load active power reduction and the square of frequency deviation is taken as the objective function. A primary frequency modulation equation of a wind turbine unit and a secondary frequency modulation equation of an AGC unit are added to the equality constraints of the optimization model. The equality constraints of the optimization model include a frequency quality constraint, a node voltage amplitude constraint, unit active power and reactive power constraints, an AGC unit ramp constraint, a branch power constraint and a load node active power reduction constraint.

The invention discloses a power system operation dispatching method considering atmospheric environmental quality constraints. The Gauss plume model is used for establishing a coal-fired pollutant diffusion model suitable for power generation dispatch in the power system, used for describing the temporal and spatial distribution of coal-fired pollutant diffusion concentration. In order to meet therequirements of concentration limits for different pollutant items in national environmental air quality standards, the invention provides the atmospheric environmental quality constraints based on the coal-fired pollutant concentration, and then constructs the power system operation dispatching method considering the atmospheric environmental quality constraints. The invention can effectively improve the atmospheric environmental pollution caused by power supply, thereby realizing the coordinated development of power energy and ecological environment.

The invention provides a multi-objective optimal distribution method for total pollutants. The method comprises the following steps: taking the annual total output value of the industry, the maximum Sand the minimum total cost G of newly added industrial pollutant treatment as target functions; using a water environment quality constraint, a water resource reasonable utilization constraint, an industry optimization adjustment constraint and an industry allocation capacity non-negative constraint as four constraint conditions; and constructing a multi-objective industry total quantity optimaldistribution model, solving an optimization problem after converting the objective function from multiple objectives into a single objective and converting nonlinear constraints into linear constraints, and obtaining pollutant total quantity multi-objective optimal distribution. A complete method for comprehensive treatment engineering implementation of multiple industries is formed, the feasibility of the total quantity optimal distribution result of all the industries is reflected systematically and visually, and the defects of the optimal distribution method in the aspect of feasibility areovercome.

The invention discloses a machine tool equipment resource supply and demand matching method based on a grey correlation algorithm under multivariate quality constraint, and belongs to the technical field of intelligent manufacturing. The method is characterized in that A machine tool equipment cloud service quality demand model with seven-dimensional components of a technical performance (P), Service time (T), Quality of service (Q), Service cost (C), Service reliability (R), service safety (S) and service flexibility (F) is established;a six-dimensional machine tool equipment resource cloud service capability model including production and processing capability, material supply capability, personnel configuration capability, technical support capability, environment matching capability and information support capability are established; and each capability index is quantitatively evaluated; On this basis, A mapping relation between a machine tool equipment cloud service demand model andthe service capability model is established, a machine tool equipment resource supply and demand matching model under multivariate quality constraint is provided, and a model solving algorithm basedon grey correlation degree is designed. The invention aims to solve the problem of supply and demand matching of machine tool equipment resources with multivariate quality constraints in a cloud manufacturing environment, and provides a feasible optimal solution for the supply and demand matching of the machine tool equipment resources.

The invention discloses a quantitative calculation method for electric energy quality influence weights. The method comprises: firstly, calculating normalization coefficients of the electric energy quality index influence weights based on disturbance power of various electric energy quality indexes; calculating an influence weight ratio of each type of power quality index according to the normalization coefficient of the influence weight of each type of power quality index; and optimizing the electric energy quality constraint objective function based on the influence weight proportion of different types of electric energy quality indexes. The quantitative calculation method for an electric energy quality influence weight realizes weight calculation of different electric energy quality indexes, and various objective functions based on electric energy quality constraint planning are corrected, main indexes influenced by electric energy quality are caught, and the technical problem thata nonlinear device (load/power supply) access power grid judgment method is complex due to the different electric energy quality indexes is solved.

The invention discloses a mobile service combination selection method considering temporal constraints. The method includes the following steps that real-time information of a mobile service provider is collected; according to the information provided by the service provider, a probability mobile model of the service provider is established; according to the user requirements, a service combination quality constraint and temporal constraint model is established; based on a multi-constraint optimization method of a differential evolution method, combination optimization is conducted, and a selection policy of service combinations is acquired. According to the mobile service combination selection method considering the temporal constraints, the service information of the mobile service provider is collected and counted, the probability mobile model for the mobile service provider is established, according to service combination quality and temporal constraints provided by users, combination optimization is conducted by the adoption of the multi-constraint optimization algorithm based on differential evolution, and the mobile service combinations with the higher execution success rate are acquired. Thus, the problem that only services in the traditional internet are combined, so that a method cannot be directly applied to a mobile environment is solved.

The invention discloses an industrial cloud service resource scheduling matching combination method. The method comprises the following steps that S1, acquiring candidate service combination schemes,wherein each candidate service combination comprises a plurality of tasks, selecting one candidate service for each task in each candidate service combination, with candidate services corresponding toat least one task in any two candidate service combinations being different; S2, acquiring quality constraint conditions among the candidate services, and calculating an adaptive value of each candidate service combination based on the quality constraint conditions among the candidate services; and S3, selecting the candidate service combination with the highest adaptive value as the final service combination. According to the method, the mutual influence of the candidate services between different tasks is fully considered, so that the adaptive values of various candidate service combinations can be more accurately calculated, and the optimal service combination is obtained through matching.

The invention discloses a three-dimensional rotational force feedback device comprising a handle, a moving platform, a base and three groups of driving devices. The handle is held at the moving platform and the handle and the moving platform make motions synchronously. The three groups of driving devices have the same structures; one group of driving devices include a motor, a reducer, and a connecting rod; the motors of the three groups of driving devices are installed at the base; and the connoting rods of the three groups of driving devices are connected to different positions of the moving platform. The moving platform, three groups of first connecting rods, and three groups of second connecting rods form a 3-RRR spherical parallel mechanism. Therefore, the internal structure of the device becomes compact; the rod length parameter is optimized; and good device performances of large working space, high virtual stiffness, high position resolution, reverse driving, and good isotropy are realized on the premise of the spatial dimension and quality constraints.