Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

93 results about "Selective strategy" patented technology

Definition: Selective Distribution. Selective Distribution is a type of distribution strategy that lies and operates between intensive and exclusive distribution. Selective Distribution involves using more than one, but lesser than all the intermediaries and distributors who carry the company’s products on a basis of a company specific set of rules.

Online optimized scheduling method for workflow groups with deadline constraint in mixed cloud environment

The invention relates to an online optimized scheduling method for workflow groups with deadline constraint in a mixed cloud environment. The method comprises the steps of: preferentially processing a workflow smallest and longest load capacity according to space-time correlations of workflows arriving in real time and a limit characteristic of the private cloud processing capability, increasing the workflow completion rate, and reducing the data transmission cost; based on characteristics of the workflows, dividing tolerance time for the deadlines in an equal-weighted manner according to subtask weights so as to meeting the requirements of deadline constraint and service quality; utilizing a greedy choice strategy to searching for a suitable example lowest in subtask execution cost increment on line, and further reducing the execution cost; and according to the characteristics of the mixed cloud environment, designing an integral mapping scheme from the workflows to the execution examples, and ensuring that the service quality of the workflows are met on line and the execution cost is simultaneously lowered. On the premise that the requirements of the deadline constraint of existing practical workflow groups are met, the online optimized scheduling method is capable of effectively improving the completion rate of the workflow groups, and the execution cost is substantially lowered.
Owner:FUZHOU UNIV

Method, system and apparatus realizing group customized advertisement

The inventive embodiment discloses a method for achieving personalized group advertisements. The method comprises the following steps: acquiring a preset group preference corresponding to a group; selecting group advertisements suiting the group according to a preset advertisement selection policy and the group preference corresponding to the group; releasing the group advertisements to a terminal in the group after arranging group marks on the group; receiving the group advertisements with the group marks by a group terminal, and counting and reporting the number of the group advertisements and the group marks; and receiving the number of the group advertisement, collecting and measuring the number of personalized advertisements in the current group according to the mark of the group, to which the terminal belongs, carried while reporting the number, and analyzing the release effect of the group advertisement according to the measurement result. The inventive embodiment discloses a system for achieving personalized group advertisements, an advertisement server and a group terminal. According to the inventive embodiment, the release effect of the personalized group advertisements can be acquired by collecting and measuring the number of the group advertisements.
Owner:HUAWEI TECH CO LTD

Method for selecting terminal access network in heterogeneous multi-wireless network covered scene

The invention discloses a method for selecting terminal access network in heterogeneous multi-wireless network covered scene, mainly overcoming the defect that influence of a policy selected by a user to the whole network is not considered in network selection process of the existing method. The method is realized by the following steps: in a typical heterogeneous network overlapped scene, designing and optimizing a target function and constraint conditions; solving optimal solution of the target function according to concrete parameters of network and creating a policy library; and guiding anew user or mobile user to select appropriate network by using the optimal state obtained by searching the policy library, and guiding multiple users to select network while network resource use efficiency is reduced. The network selection method disclosed by the invention not only can meet service requirement of the user, but also can transfer services in the network with heavier load to an idlenetwork, so as to cause all the networks to operate efficiently and improve use efficiency of network resource, thus being applicable to the requirements of the existing network and various novel networks in the future.
Owner:XIDIAN UNIV

Method for converging heterogeneous networks based on dynamic load transfer

The invention discloses a method for converging heterogeneous networks based on dynamic load transfer. The method comprises the following steps that: firstly, mobile terminals in the heterogeneous networks periodically report terminal-side information; secondly, a base station and a wireless access point make a joint decision for a target mobile terminal; and finally, with cooperation of the base station and the wireless access point, the target mobile terminal finishes a vertical switching process, evaluates the performance of the heterogeneous networks, and calls a dynamic load transfer scheme in real time according to an evaluation result so as to realize dynamic balance of network loads. By adoption of the method for converging the heterogeneous networks based on the dynamic load transfer, the heterogeneous networks can be effectively converged by introducing a priority-based dynamic load transfer mechanism; by designing an access selection policy of a user terminal and using a dynamic closed-loop feedback mechanism, wireless resources in the heterogeneous networks are effectively utilized; different wireless access technologies are integrated into a unified network environment; and an important reference value is provided for research of a heterogeneous wireless network convergence technology.
Owner:SOUTHEAST UNIV

Unmanned aerial vehicle relay system resource allocation method based on wireless energy-carrying communication network

The invention relates to an unmanned aerial vehicle communication technology, and particularly relates to an unmanned aerial vehicle relay system resource allocation method based on a wireless energy-carrying communication network. The method comprises: grouping a terminal device according to a ground terminal communication mode selection strategy, determining the number and the positions of the relay mode ground terminals GTRs; after initial parameters are set, performing a continuous convex optimization algorithm; optimizing time slot resources allocation, flight trajectory of unmanned aerial vehicle, the transmission power of unmanned aerial vehicle information, the information transmission power of a ground terminal GTR and the energy broadcast power of the unmanned aerial vehicle in sequence, and then through multiple iterations, when the throughput increase of a ground terminal GTR in a period is less than a preset threshold, stopping an optimization algorithm to obtain an optimal resource allocation strategy of the unmanned aerial vehicle relay system. According to the method, ground terminal device communication modes can be selected according to actual conditions, and theservice quality of ground users is guaranteed while waste of unmanned aerial vehicle resources is reduced. The method can adapt to periodical change scenes of the number of ground terminals and the initial energy storage condition, and is high in feasibility.
Owner:WUHAN UNIV

Auto-ip traffic optimization in mobile telecommunications systems

A system and method for the implementation of fine-grained quality of service in a mobile telecommunications environment uses an Auto-IP Policy Decision Point (PDP) to determine what traffic optimizations actions should be taken in reaction to various network conditions. The Auto-IP PDP uses as inputs information from a Gb interface probe to determine the user identification of an IP data flow, information from the radio access network (RAN) network management system (NMS) regarding network congestion. The cell traffic information is passed onto a traffic analysis and processing engine, the Auto-IP PDP which maps the real-time traffic information into an n-dimensional traffic model. An automated policy decision guiding algorithm is executed on the n-dimensional traffic model and selects policy based on the traffic and cell congestion conditions, without human intervention. Additionally, a consistency check is performed to ensure that new policies are consistent with existing policies. The policy decision outcome is forwarded to the Auto-IP Traffic Optimizer that acts on the network at a point in the network (Gi) that is different from where traffic problem occurs in the RAN. The Auto-IP Traffic Optimizer implements the decisions of the Auto IP-PDP by performing traffic shaping, TCP window clamping or other traffic optimization procedures on a cell-by-cell basis.
Owner:TELCORDIA TECHNOLOGIES INC

Improved genetic algorithm-based travel itinerary planning method

InactiveCN107145961AAvoid local optimaStuck in a local optimumForecastingGenetic algorithmsItinerary planningOlder population
The invention discloses an improved genetic algorithm-based travel itinerary planning method. The method comprises the following steps of firstly performing arrangement according to a sequence of visited cities to form codes; secondly initializing a population by adopting a two-way greedy selection policy; calculating a fitness value of each individual in the population; by adopting roulette wheel selection, selecting the individuals with high fitness from the old population to a new population; performing crossover operation according to an adaptive crossover probability Pci, and selecting multiple parents to perform pairing to generate new individuals; performing mutation operation according to an adaptive mutation probability Pmi, and determining mutant individuals; and finally judging whether a predetermined stop condition is met or not, and if yes, stopping heredity and obtaining an optimal solution, otherwise, calculating the fitness value of each individual in the population. According to the method, a travel itinerary route is planned for users by adopting an improved greedy adaptive genetic algorithm based on a travel itinerary planning model; and through the method, the itinerary planning speed is increased and the algorithm is prevented from falling into local optimal solution.
Owner:NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products