652results about How to "Good variety" patented technology

A system (1) which allows content providers of value-added SMS services to set-up their own services comprises a Small Message Entity Agent (SMEA) (6) which is coupled to a Short Message Service Centre (4) of a cellular radio telephone network. Providers of value added services can access the SMEA to register a unique identifier in the form of an easily remembered name, which is then translated into a numerical number, which is used as part of the destination address in text messages destined for the content provider. The content provider is able to self-configure his service so that text messages delivered to the SMEA are forwarded to selected message handlers for forwarding to appropriate destinations, such as email addresses, pagers or mobile phones.

The invention discloses a method for implementation of a picture verification code. The method includes: acquiring current verification code parameters including user setup parameters and random parameters; determining the length and content of a character string of the verification code according to the random parameters, and acquiring a corresponding shape numerical matrix of each character in the character string of the verification code from a designated font object library according to font object library route parameters in the user setup parameters; converting each shape numerical matrix into a character picture of a corresponding character shape, and subjecting all character pictures to character special effect processing according to part of the verification code parameters to generate an initial verification code picture; filling the background of the initial verification code picture with a randomly selected background color; and subjecting the initial verification code picture with the background filled to anti-decoding processing according to difficulty parameters in the user setup parameters and picture special effect processing parameters in the random parameters, and then performing color change processing to generate a final verification code picture. The invention further discloses a device for implementation of the picture verification code.

A method for offloading execution load from a resource-constrained device to allow the device to run a resource intensive software program. A program is accessed using a first device and determines whether execution of the program will exceed resources of the first device. If the execution will exceed the resources of the first device, a load split is determined to split the program into a first portion and a second portion. The second portion of the program is offloaded to a second device, while the first portion of the program is retained on the first device. The first portion and second portion communicate via a network connection. Full program functionality is provided using the first device, wherein the functionality is provided by the first portion and second portion executing respectively on the first device and the second device.

The invention discloses a generation method of an image description from a structured text. The generation method comprises the steps of downloading pictures from the internet to form a picture training set; conducting morphological analysis on descriptions which correspond to the pictures in the picture training set to form the structured text; using an existing neural network model to extract convolution neural network characteristics of the pictures in the training set, and using <, picture characteristics and structured text < as inputs to form a multitasking recognition model; using the structured text extracted from the training set and a description which corresponds to the structured text as inputs of a recurrent neural network, and conducting training to obtain a parameter of a recurrent neural network model; inputting the convolution neural network characteristics of an image ready to be described, and obtaining a predicted structured text through the multitasking recognition model; inputting the predicted structured text, and obtaining the image description through the recurrent neural network model. Compared with the prior art, a better image description effect, accuracy and sentence variety can be generated through the method, and the generation method of the image description from the structured text can be effectively popularized in an application of image retrieval.

An image mixing apparatus and a pixel mixer capable of mixing image data items having different pixel resolutions, and mixing image data items in an arbitrary display priority, irrespective of the order of mixing, even if the order of mixing is determined in advance is provided. Of two pixel data items having depth values “Zc” and “Zb”, one pixel data item having the depth value indicating that the pixel is located in a foreground position is selected by a pixel selection determination circuit 110. However, if a pixel data item has a hue indicating that the pixel is transparent, such a pixel data item is not selected but another pixel data item is selected instead. Multiplexers 112 to 116 output a pixel data item (hue “Hm” / color saturation “Sm” / brightness “Lm”) which is selected by the pixel selection determination circuit 110. Since pixel data items are input to the multiplexer 112 to 116 at different output rates, it is possible to mix images having different pixel resolutions.

In an electric power storage system according to the present invention, in the case of charging, a plurality of capacitors of each circuit block of the electric power storage system are switched to a serial connection to initiate the charging. When the output voltage of power storage means reaches the maximum input voltage of DC-AC conversion means, each capacitor of a number j of circuit blocks is switched to a parallel connection in order of higher block voltage. Also up to the time when the maximum input voltage is reached again, each capacitor of a number j of circuit blocks is switched to a parallel connection in order of higher block voltage. In the case of discharging, pluralities of capacitors of each circuit block of the electric power storage system are switched to a parallel connection to initiate the discharging. When the output voltage of power storage means reaches the minimum input voltage of DC-AC conversion means, each capacitor of a number k of circuit blocks is switched to a serial connection in order of higher block voltage. Also up to the time when the minimum input voltage is reached gain, each capacitor of a number k of circuit blocks is switched to a serial connection in order of higher block voltage. Accordingly, the electric power storage system is hardly affected by the capacitance error of the capacitors, and charging / discharging efficiency can be improved.

A system, method, and apparatus for selecting a set of antennas, for use during operation of a radio system, from a plurality of antennas. The system, method and apparatus may include selecting one antenna that is part of an array of antennas. Then measuring characteristics of radio signals received at the antenna. The selection and measuring of characteristic is repeated for a desired number of antennas in the array. Then, the measurements are combined, and the combinations of antennas are ranked based upon the combined measurement. From the ranking combinations of antennas are selected for use during operation of a radio system.

The invention discloses a method and system for multi-target reactive power optimization of electric power systems. The method comprises the following steps of: establishing a multi-target reactive power optimization model; generating positions of N initial bird nests by utilizing Kent chaotic mapping, taking the positions of the N bird nests as initial populations, calculating a fitness value of each bird nest, establishing an external file set according to a Pareto dominance relation, updating the positions of the bird nests according to self-adaptive weights, updating the external file set according to the dominance relation and calculating a congestion distance to control the capacity of the file set; carrying out a differential evolution operation on each bird nest and updating the external file set; and when an iteration termination condition is satisfied, outputting an optimum Pareto optimal solution set. According to the method and system, a plurality of target functions are considered, so that the disadvantages that the traditional method is used for converting a plurality of targets into a single target and is difficult to determine the weight coefficients are optimally overcome; an improved cuckoo search algorithm is high in convergence rate, high in precision and good in individual diversity; and the obtained optimal solution set has favorable diversity and uniform distributivity, and can be well adapted to solving the multi-target reactive power optimization problems of the electric power systems.

The invention discloses a personalized recommendation method based on bilateral diffusion of a bipartite network, which mainly solves the conflicts among several main arithmetic performance indexes including accuracy, diversity and novelty of a recommendation list with respect to personalized recommendation of Top-N. The method comprises the following steps: (1) constructing a user-article associated bipartite graph network, wherein it is supposed that each target user node has certain allocable resource, which can be allocated to other node objects according to a preset allocation mechanism; (2) establishing an article-article and user-user second-order correlation matrix; (3) implementing a bilateral diffusion process to obtain a user-article interest matrix; and (4) giving a recommendation list of each user with the length N to complete the recommendation of Top-N. Based on the thought of network communication, the effect of the method is obviously better than that of a classical collaborative filtering method, the long tail mining concerned by a personalized recommendation system is better realized, and the method can be used for solving the Top-N problem of personalized recommendation.

An improvement to the prior-art extends an intelligent solution beyond simple IP packet switching. It intersects with computing, analytics, storage and performs delivery diversity in an efficient intelligent manner. A flexible programmable network is enabled that can store, time shift, deliver, process, analyze, map, optimize and switch flows at hardware speed. Multi-layer functions are enabled in the same node by scaling for diversified data delivery, scheduling, storing, and processing at much lower cost to enable multi-dimensional optimization options and time shift delivery, protocol optimization, traffic profiling, load balancing, and traffic classification and traffic engineering. An integrated high performance flexible switching fabric has integrated computing, memory storage, programmable control, integrated self-organizing flow control and switching.

Several subscriber signals are transmitted simultaneously and at the same frequency by a central transmitter to several decentralized receivers which do not cooperate with each other, by digital message transmission in a broadcast channel. A common transmission signal, which enables an error-free individual reception, should be generated with knowledge of all subscriber signals and of the current transmission conditions, by signal preprocessing methods on the transmission side. Known nonlinear precoding methods totally suppress the interference signals, so that the channel diversity cannot be used. In the claimed precoding method, the occurring interference signals are, on the contrary, taken into account. On the basis of a modulo arithmetic calculation, the transmission channel is not totally equalized, but virtually divided, so that the transmission of the subscriber signals is continued periodically; the signals are selected according to the minimal transmission power and pre-equalized, in a linear manner, and the residual interferences, still remaining between the subscriber signals, may assume special values from a preset set of values. The set of values is selected, so that the interference signals of the other subscribers are also merely reflected in the otherwise already existing periodic continuation and can be suppressed or used as required by a modulo decision, on the reception side.

The invention relates to a method and system for recommending data, wherein the method comprises the steps of collecting the choice record of each user to each piece of to-be-recommended data, obtaining an average click rate of each user to the to-be-recommended data according to the choice record of each user to each piece of to-be-recommended data, obtaining an average popular degree of each piece of to-be-recommended to all users receiving recommendation, and obtaining the recommendation score of each piece of to-be-recommended according to the average popular degree or obtaining the recommendation score of each piece of to-be-recommended according to the choice record, the average click rate and the average popular degree. The method and the system are capable of automatically realizing differentiated processing on active users and non-active users, and hot videos and non-hot videos, and also capable of automatically digging out the popular statistical characteristics of data, for example, videos, and the recommendation results are not limited to the hottest data, for example, videos, so that lots of data, for example, videos, have a chance to be shown to different users.

A method of producing a textile article having a localised finish is described. The method comprises providing a continuous supply of a textile substrate, providing an array of digital nozzles, supplying a finishing composition to the nozzles and selectively depositing the finishing composition from the nozzles in a series of droplets to deposit a first predetermined pattern of droplets on a selected area of the substrate to endow a functional characteristic on the selected areas. In this way, it is possible to ensure that only those areas receive the finishing composition that ultimately require it. Usage of valuable chemicals and process time can hereby be reduced.

The invention discloses a method for regional water-source optimized configuration based on an MAEPSO algorithm. The method comprises the steps that basis information data of a water resource system is acquired at first; secondly, a water-resource multi-target configuration model is established; then the algorithm based on MAEPSO is executed, and a Pareto optimal solution set of multi-target configuration of the regional water resource system is solved; and finally, a final solution is selected from the optimal solution set according to certain rules. According to the invention, global optimization is achieved; computation efficiency is increased; and a requirement for selecting a multi-target optimal configuration scheme of the water resource system can be satisfied.

The invention discloses a multi-objective optimization method based on an improved gravitation search algorithm. According to the algorithm, a memory strategy is introduced into a universal gravitation search algorithm, so that particle swarm information and information of previous generations and next generations of particles are shared, the global search capability and the local search capability of the particles are balanced, and the premature convergence problem is solved. On this basis, a diversity enhancement mechanism is introduced into the algorithm, namely, particle speed and position are controlled each iteration, so that the diversity loss is relieved, the particle diversity is improved, and diversity and distributivity of non-dominated solution sets are enhanced. Therefore, by means of the multi-objective optimization method based on the improved gravitation search algorithm, the phenomenon that multi-objective optimization is caught in a local extremum can be effectively avoided, and convergence, diversity and distributivity of non-dominated solutions are remarkably improved when the gravitation search algorithm is applied to the field of multi-objective optimization.

The invention provides a multi robot path planning method based on a multi-target artificial bee colony algorithm and belongs to the technical field of path planning. The method includes path planning problem environment modeling, multi-target artificial bee colony algorithm parameter initialization, three-variety bee iteration optimization path and non-inferior solution determination, good path reservation by sequencing and optimum path set outputting. By means of the method, the standard artificial bee colony algorithm is improved based on the concept of non-domination sequence of Pareto domination and crowd distance, and the multi-target artificial bee colony algorithm applicable to solving the multi-target optimization problem is provided. In the path planning process, multiple performance indexes of path length, smoothness and safety are considered in the algorithm, and a group of Pareto optimum paths can be acquired through one-step path planning. The path planning method belongs to meta-heuristic intelligent optimization methods, is different from the traditional single-target path planning method, and can well adapt to path planning tasks in complex environment.

The invention discloses a composite bipolar plate for a PEM (proton exchange membrane) fuel battery and a preparation method thereof. The bipolar plate comprises an upper and lower surface layers prepared by using vermicular graphite as a base material, and a plurality of laminated plate unit preforms prepared by embedding conductive particles in organic substance films, wherein every two adjacent laminated plate unit preforms are provided with one or a plurality of conductive particle overlay areas to form one or a plurality of zigzag conductive paths. The preparation method comprises the following steps: sequentially laying the lower surface layer material, the laminated plate unit preforms and the lower surface layer material in a die, and carrying out die pressing twice to obtain the bipolar plate for a PEM fuel battery. The method enhances the production efficiency of the composite bipolar plate for a PEM fuel battery, and lowers the manufacturing cost; and the composite bipolar plate has the advantages of high bending strength, favorable conductivity and favorable air tightness.

In an electric power storage system according to the present invention, in the case of charging, a plurality of capacitors of each circuit block of the electric power storage system are switched to a serial connection to initiate the charging. When the output voltage of power storage means reaches the maximum input voltage of DC-AC conversion means, each capacitor of a number j of circuit blocks is switched to a parallel connection in order of higher block voltage. Also up to the time when the maximum input voltage is reached again, each capacitor of a number j of circuit blocks is switched to a parallel connection in order of higher block voltage. In the case of discharging, pluralities of capacitors of each circuit block of the electric power storage system are switched to a parallel connection to initiate the discharging. When the output voltage of power storage means reaches the minimum input voltage of DC-AC conversion means, each capacitor of a number k of circuit blocks is switched to a serial connection in order of higher block voltage. Also up to the time when the minimum input voltage is reached gain, each capacitor of a number k of circuit blocks is switched to a serial connection in order of higher block voltage. Accordingly, the electric power storage system is hardly affected by the capacitance error of the capacitors, and charging / discharging efficiency can be improved.

The invention discloses an optimal allocation method of basin water resources based on a multi-objective chaotic genetic algorithm, and belongs to the technical field of optimal allocation of water resources. The method includes the steps of obtaining basic information of basin water resources; establishing a multi-objective water resource optimal allocation mathematical model and performing allocation model parameter calibration; solving a water resource optimal allocation alternative scheme set by using a multi-objective chaotic genetic algorithm; and finally, determining a best equilibrium scheme of water resource optimal allocation through a chaotic neutral network comprehensive evaluation model. According to the invention, the chaotic ergodicity and the inversion of the genetic algorithm are coupled, the speed of the algorithm is improved, the optimal solution is stable, and the multi-objective optimal allocation requirements of a basin water resource complex system are met.

A computer system and related method for analysis of medical symptoms on a body of a living being is provided. The system comprises a first portion of computer readable medium which stores digital representation of a plurality of tissue layers in the body. The system also includes a processor unit and a second portion of computer readable medium. The second portion of the computer readable medium stores instructions executable by the processor unit to perform the steps of displaying at least one tissue layer from the plurality of the tissue layers on a display device, receiving a first input indicating a locale on the displayed at least one tissue layer, receiving a second input associating a medical symptom description to the indicated locale, and including information about the medical symptom description and the associated locale in the digital representation of the body. Related methods are also provided.

The invention discloses a medical big data multi-center integration platform and method. Data of each data branch center server are accessed to a data center server and subjected to quality assessment, and a next step is entered if the quality assessment passes; if the quality assessment fails, the data center server feeds back the conclusion of failure to each corresponding data branch center server; the quality assessment includes the assessment of data integrity, data repetition rate, data bias and data size; the data center server establishes and maintains standard variables and a standarddictionary, meanwhile, preprocesses the data according to the standard variables and the standard dictionary; the data standardization processing includes standardization of the variables and standardization of data values; a one-to-one mapping relationship between data variables of the data branch center servers and the standard variables of the data center server is established by means of a similarity matching algorithm and manual auditing; and the data standardized by the data center server are utilized.

The invention discloses a water resource optimization scheduling method based on an improved multi-objective quantum genetic algorithm. The steps are as follows: firstly, obtain the basic information data of the water resource system; secondly, establish a water resource optimal scheduling model; and then execute the improved multi-objective quantum genetic algorithm. The algorithm solves the optimal pareto non-inferior solution set of the water resource system, and uses certain rules to select the final result from the optimal solution set. The invention realizes global optimization, improves calculation efficiency, and satisfies the requirement of selecting a multi-objective optimal scheduling scheme for a water resource system.

The invention relates to a random walk and diversity graph sorting-based personalized service recommendation method. Firstly the defect in calculating user similarity by a conventional Pearson correlation coefficient is analyzed, and then a similarity relationship between users is subjected to multi-time transmission through a WRW model, so that more similar neighbors are found for a target user,and the data sparsity problem is effectively solved; based on predicted QoS values of all the similar neighbors, a service graph model is built by adopting an SGMC algorithm to filter a large amount of candidate services with excessively low performance, reduce an algorithm optimization space, and ensure quick convergence of a subsequent diversity graph sorting algorithm; and finally, an optimal node set is searched for on the service graph model by adopting an ONCS policy, and k nodes contained in the set are a service list recommended to the user and having recommendation accuracy and functional diversity. The method has relatively high recommendation accuracy and relatively good functional diversity, and can meet potential functional demands of the users to the maximum extent while ensuring service recommendation quality.

The invention, which belongs to the technical field of data processing, discloses a radar radiation source signal feature selection method based on a membrane particle swarm multi-target algorithm. According to the method disclosed by the invention, a membrane calculation optimization theory is combined with a particle swarm optimization algorithm and the uniformity and diversity of a crowding degree maintenance set are utilized; and a data object is optimized by using two objective functions of correlation and redundancy and application to in-pulse feature selection of a radar radiation source signal is carried out. According to the invention, with non-dominated sorting and a crowding distance mechanism in a skin membrane, rapid convergence of the multi-target particle swarm optimizationalgorithm is kept by the algorithm and the solution set has high diversity. And then with KUT and ZDT series test functions, comparison testing is carried out on the algorithm and MOPSO, SPEA2 and PESA2 algorithms. Therefore, rapid convergence to the real Pareto leading edge is realized and the provided algorithm is feasible and effective.

The invention discloses a road three-dimensional linear automatic optimization method based on an improved particle swarm optimization. Firstly, a road three-dimensional linear optimization objective function is established, the improved particle swarm optimization is adopted to carry out optimization on the plane intersection point parameters of three-dimensional linetype and vertical section grade change point parameters of leading line scheme obtained by adopting ArcGIS software simultaneously according to the constraint conditions, the road construction unit price, the line point obtaining intervals and the linear optimization objective areas of set line planes and the vertical sections, and the road three-dimensional linear after automatic optimization is obtained. The three-dimensional linear after automatic optimization can pass around obstacles and be adapt to terrains better, is used as earlier stage design reference for project planners, and labor intensity of the project planners is reduced.