43 results about "Random allocation" patented technology

Embodiments of the present disclosure provide methods and systems for managing securely installed applications. After installation, an installation framework performs a bind process to correlate the randomly assigned identifier with the unique identifier of the application. The installation framework also manages the execution of the application. When an application is launched, the application framework performs a search for that application's randomly assigned identifier and locates the application's container. The application is then allowed to execute within its container. During execution, the software application may also be restricted in various ways by the installation framework to its dynamic containers. The installer may also work with a trusted operating system component, such as the kernel, to help enforce the container restrictions. In addition, if desired, the use of random identifiers for containers may be used in conjunction with other security mechanisms, such as the use of code signing.

The invention discloses an order allocation system based on an O2O business mode. The system comprises an order allocating module and an order processing center module, and the order allocating module is used for allocating online orders to offline stores through the monopolistic correlation between the online orders and offline store IDs. The order processing center module is used for respectively executing different order allocating processes according to the different types of the orders, and after the orders are allocated to designated personnel to be processed based on the weight value presetting and random allocation principle, if the overtime orders are not processed, the orders are allocated again in a specific period until all the orders are processed. The invention further discloses an order allocation method based on the O2O business mode.

The invention discloses a topic modeling method based on a selected cell. The method includes extracting words, segment structures and word features contained in searching results in a database according to a query request; determining topics adopted by modeling; producing each segment structure topic, word topic and binary choice through random allocation; determining the variables through the Gibbs sampling process iteratively; feeding significant documents, words of each topic and capacities for words with various features to express the topic of the located segment structure to users according to final allocating results of the variables. The method has the advantages that topic modeling can be performed on various modal data; implicit structural information of the data is utilized fully, and disadvantages due to strong structural constraints are eliminated; information of correlation between the word features and the segment structural constraints can be provided, and the users are assisted to understand the data; the method has good extensibility and can serve as algorithm basis of various applications.

The present invention discloses a crowd-sourcing calculation online task allocation method based on a mobile social network. The method comprises the following steps of: (1) a task issuer calculating the expected value of a success probability of finishing a crowd-sourcing calculation task according to associated information of each mobile social network user; (2) real-time updating and recalculating the expected value of finishing the task by the mobile social network user; and (3) performing online task allocation. According to the crowd-sourcing calculation online task allocation method based on the mobile social network, in the situations of changing the number of user tasks and the number of users in the network, the number of users, who finish the task, found by the method is less than the number of general established connections, i.e., allocation and random allocation algorithms, thereby saving costs quite well. The method has very high practical values and has broad market prospects in popularization.

The invention discloses an asymmetric carrier double-random modulation vibration reduction method of a motor. The implementation system of the method comprises a voltage source inversion bridge, a permanent-magnet synchronous motor, a rotor position detection module, a coordinate conversion module, a PI regulation module, an asymmetric carrier double-random modulation space vector pulse width modulation (SVPWM) module, wherein the asymmetric carrier double-random modulation SVPWM module comprises a fan-shaped judgment module, a voltage vector calculation module, a zero vector calculation module, a random number generator, a zero vector random allocation module, a carrier generator, a modulation wave generator and a PWM generator, the zero vector random allocation module and the carrier generator are used for achieving double-random mechanism, the zero vector random allocation module is used for achieving random allocation of a zero vector, and the carrier generator is used for achieving randomness of an asymmetric carrier period. By the asymmetric carrier double-random method, the purpose of preventing full-frequency band vibration of the motor can be achieved, and an effective control method is provided for preventing vibration of the motor.

The invention discloses a keyword optimization classification method based on a fuzzy genetic algorithm, comprising the steps of: (1) randomly assorting units to be optimized into each island, and initializing the N units to be different units in each island; (2) selecting the units which simultaneously participate the internal genetic operation of the island and transfer to other islands; (3) crossing the units selected by the step (2); (4) performing nonuniform mutation operation to all units in each island; (5) calculating assessed values for all units in each island; (6) searching local area for the units in each island; and (7) selecting the units in each island, and judging whether the assessed value satisfies optimization rules and then judging whether repeating the abovementioned steps. According to the method, the problem of solving large-scale engineering can be solved, the intelligence is high, the optimization algorithm is clear and simple, and the optimization accuracy is high.

The invention relates to a chaos polynomial based method for acquiring uncertainty of planetary atmosphere entering states and belongs to the technical field of space technologies. The method includes firstly, establishing a dynamical model of a planetary atmosphere entering system, then, using a chaos polynomial to approximate the dynamical model, using a random allocation method to convert a dynamical equation of the planetary atmosphere entering system to a differential equation set of chaos polynomial coefficients, solving a differential equation to obtain a chaos polynomial coefficient of each moment, and using an entering state variance or covariance of a detector to represent the uncertainty of the planetary atmosphere entering states so as to calculate statistical information of uncertainty of planetary atmosphere entering state trajectories. According to the method, by means of once integrated polynomial coefficients, change laws of the uncertainty of the planetary atmosphere entering states can be solved, so that calculated amount and calculation time are reduced, and the uncertainty of the planetary atmosphere entering states can be comprehensively acquired.

The invention is applicable to the field of energy scheduling technologies in iron and steel enterprises, and provides a method for determining a steam system optimization scheduling feasible solution of iron and steel enterprises. The method takes initialization of a free variable of schedulable equipment on a topological structure of a steam medium network as the main line, takes all constraint conditions such as physical constraints of steam media and process constraints of multi-unit equipment into account comprehensively, gradually advances according to a steam production and consumption processes, and obtains the feasible solution which naturally meets all of the constraint conditions under the premise that the complex iterative search computation is not required through carrying out processing procedures such as random allocation, constraint inspection, relevance detection and adjustment correction on all variables in the steam system; and if low-quality steam cannot meet steam requirements for production, inlet steam flow rates of some temperature reducing and pressure reducing devices are initialized in priority during the variable allocation process of high-quality steam associated with the low-quality steam in a predictable manner, the possibility that the generated steam system optimization scheduling scheme is an infeasible solution is reduced, and the software and hardware resource consumption of repeated iterative computations is reduced.

The invention discloses a data node random allocation method and system, and aims to obtain more equilibrated probability for data node random allocation. The data node random allocation method provided by the embodiment comprises following steps: determining data node identities required to be allocated for the current time from an allocation table composed of data node identities according to a preset rule when the a condition that the data nodes are required to be allocated is determined; and allocating the data nodes corresponding to the data node identities required to be allocated for the current time. The allocation table comprises multiple rows of data node identities, the multiple data node identities in each row are randomly distributed, and the data node identities in any two rows are differently distributed. The preset rule comprises one item that the data node identities required to be allocated are determined from the different rows in the allocation table for adjacent two times.

Disclosed are a substrate with a microstructure and a method for producing the same. In this method microparticles of a random allocation by means of a natural self-assembly mechanism are used to coat on a master mold. Firstly, hollow micro glass particles within a specific size range are mixed with a UV-curable adhesive to become a mixed solution. Afterwards, the master mold is dip-coated in the mixed solution and the microparticles coated on the master mold are self-assembled. To fix the microparticles on the master mold to form a sphere array microstructure with a three dimensional random allocation, a UV light source is used to radiate the master mold for curing. Afterwards, an inverse mold with the corresponding microstructure is fabricated by electroforming or polydimethylsiloxane (PDMS) casting the master mold. Thus, the inverse mold can be applied to the fabrication of a substrate with the corresponding microstructure.

The invention discloses an Internet-based examination (examination organization) management system and an implementation method. The system comprises a worker information acquisition module, a school management module, an electronic lotting module, an information query and display printing module, and a county and city entrance examination mechanism management module; the information acquisition module is used to acquire basic information of all personnel participating examination organization, personal registration or school unified import can be performed, and an individual can log in and access the system; the school management module manages invigilators and the examination organization; the electronic lotting module randomly assigns examination rooms for the invigilators before each examination and prevents the invigilators from colluding and cheating with examinees; the information query and display printing module is used for school, county and city entrance examination mechanisms to query, display, export and print personnel at the level of authority, examination sites and school information; and the county and city entrance examination mechanism management module sets and manages the examination sites, the examination rooms, the invigilators, examination types, examination times and the like as needed.

The invention discloses a computer random allocation system applied to a primary education admission process. According to the situation that the number of enrollment students exceeds the number of positions capable of being provided by a school or a planned admission number in the primary education admission process in combination with an education admission policy and school admission requirements, a computer random allocation mode is adopted to complete admission work of the school. The system comprises the specific steps of enrollment information import, allocation plan information import,random allocation enrollment and allocation result export, for example, under the situation that the number of primary graduates who select a certain junior middle school in the process of entering the junior middle school from primary schools exceeds the planned admission number or position number of the junior middle school, admission of enrolled students can be completed through the computer random allocation system. Therefore, through the technical scheme, openness, fairness and justice of education admission are realized through computer random allocation.

The embodiment of the invention discloses a data disk mounting method and a virtual machine monitor. The data disk mounting method comprises the steps that the virtual machine monitor receives login request information that a user logins a virtual machine, after it is determined that a target data disk corresponding to identification information of the user exists according to the identification information of the user in the login request information and a prestored corresponding relation between users and data disks, the target data disk is acquired from a data disk resource pool and mounted on the virtual machine that the user logins, and then the target data disk corresponding to the identification information of the user is mounted on the virtual machine that the user logins. Therefore, automatic mounting of a private data disk of the user in a dynamic virtual desktop application is achieved, the user can access private data in a randomly-allocated dynamic desktop, and it is guaranteed that the private data disk is only mounted on the virtual machine that the user accesses, so that other users cannot access the private data.

The invention relates to a modified harmony search optimizing method. Random distributing operations controlled via a distribution coefficient are utilized, so that a harmony base is mover diversified; an algorithm is enabled to quickly search for a search area that has most promising chances to obtain optimal solutions; in addition, better solutions are obtained by finely adjusting the search area.

The invention relates to a medical skill checking system and a record reproduction evaluation method. Multi-camera surrounding shooting and multi-position audio collecting equipment is introduced, thewhole checking process of an objective structured clinical examination (OSCE) is automatically and completely recorded in audio and video modes, objective reproduction of the OSCE is achieved by playing a record, based on reproduction of the OSCE, paper inspection is conducted on reproduced audio and videos, the consistency of performance skill examination evaluations is improved through a randomdistribution double evaluation mechanism, objectivity of the paper inspection quality can be ensured, thus the examination record capable of being reproduced and checked is formed, meanwhile as for the paper inspection process, the evaluations with the high deviation degree are subjected to real-time early warning and intervention, and thus the more objective and more notarial OSCE audio and video paper inspection quality control system can be established.

The invention discloses a double-blind drug clinical test method and a double-blind drug clinical test system. The method comprises the following steps: generating a random allocation table, a drug number table and a secondary blind base comparison table; extracting a first random number from the random allocation table and allocating the first random number to a target object; obtaining a group corresponding to the first random number from the secondary blind base comparison table; and distributing the medicines corresponding to the groups to the target object from the medicine distribution table according to the sequence of the medicine numbers from small to large. The technical problem of medicine waste in an existing blind clinical test is solved.

The invention discloses a multi-cell pilot frequency improved allocation method based on MSE. The method is implemented by the following steps: 1, using every L cells as a group of clusters, and marking as 1; 2, for users in each cell within the clusters, calculating a large-scale fading coefficient beta<ljk> from each user to each cell base station; 3, when the base station antenna quantity tendsto be infinite, determining the signal to noise ratio of a kth user in a cell l as shown in the description, and determining the achievable rate of each user as rlk=log<2>(1+SINR<lk>); 4, calculatingthe achievable rates of all users of all cells within each cluster as shown in the description, and calculating the average achievable rate of each user as shown in the description; and 5, allocatingpilot frequency with an enumeration method or a greedy algorithm to obtain an optimal allocation scheme. A pilot frequency allocation scheme based on the MSE is adopted, so that the average achievable rate of the users can be increased. Meanwhile, the greedy algorithm and a random allocation method are combined as an improvement to lower the complexity, so that the complexity is lowered from 0((K!)<L>) to 0(K x K<L>).

The invention relates to an allocation method and device of electronic red envelopes. The method includes: receiving a red-envelope allocation request sent by a client, wherein the red-envelope allocation request carries pre-allocated information of a total money amount of the electronic red envelopes and a red-envelope number; extracting the information which is of the total money amount of the electronic red envelopes and the red-envelope number and carried in the red-envelope allocation request, and determining an average amount of money, which is allocated to each electronic red envelope,according to the total money amount of the electronic red envelopes and the red-envelope number; adopting a random allocation algorithm to determine an initial money amount of each electronic red envelope; and calculating a correction value of each electronic red envelope according to the average money amount and the initial money amount of each electronic red envelope, and adjusting the initial money amount of each electronic red envelope according to the correction value. According to the method, the correction values are set through utilizing a manner of first "expansion" and later ''contraction'', and rational allocation of the money amounts of the electronic red envelopes is realized.

The invention relates to a flood prevention material rescue distribution method based on a non-dominated artificial bee colony. The method comprises: establishing a flood prevention material distribution optimization model based on warehouse material storage capacity constraints, material demand constraints and flood prevention material arrival time constraints; initializing a food source by adopting three methods of large-scale storage warehouse priority, disaster-affected demand priority and random allocation, and proposing a demand fitness value, a material satisfaction rate variance fitness value and a transmission time fitness value of the food source; in the employed bee stage, using a high-dimensional matrix local search method, and the space complexity being reduced through population classification and exclusion elimination; in the bee following stage, updating food sources through cross operation, and expanding the search range of the population; and in the bee reconnaissancestage, selecting a tail food source, a repeated food source and a food source reaching the evolution upper limit frequency to reconstruct. The distribution of flood prevention materials can be optimized, the distribution time of rescue materials is saved, the material distribution of each affected area is balanced, and the overall distribution efficiency of the flood prevention materials is improved.

The invention provides an energy consumption optimization method for D2D communication in a single cell. A D2D user resource allocation strategy based on optimal matching of bipartite graphs is proposed. On the premise of not exceeding the system capacity, an appropriate time is selected, and an appropriate cellular link is selected to match with a D2D transmission link, so that the energy consumption of the system is optimal; experiments prove that compared with maximum power transmission, the energy loss of an optimal allocation strategy based on the Hungarian algorithm can be reduced by 40%, and with the increase of the number of users , energy saving is more obvious; further, compared with some common distance-based allocation strategies, such as closest allocation, farthest allocation, random allocation, the energy consumption of the optimal allocation strategy is the lowest in all allocation strategies, and thus the optimal allocation strategy can replace the traditional maximum power transmission scheme and the distance-based resource allocation scheme.

The embodiment of the invention provides an examination data distribution method. The method comprises the steps of obtaining examination data, wherein the examination data comprises examinee data, examination room data and session data; generating a first allocation constraint rule and a second allocation constraint rule; by adopting the examinee data, the examination room data and the session data, randomly allocating sessions and examination rooms to examinees according to a first allocation constraint rule; and randomly allocating seats to the examinee site according to a second allocationconstraint rule. According to the embodiment of the invention, random allocation is performed twice, so examinees are distributed to a certain seat of a certain examination room of a certain sessionin a random and unpredictable manner under the distribution constraint rule for examination, and the examinee seats are randomly distributed on site, so that the time and labor costs are saved, the possible unfair or fraudulent behaviors such as examination questions and the like caused by manual operation or adjustment of a distribution result before examination are avoided, and the fraudulent behaviors such as communication with a reviewing teacher due to knowing the examinee seats in advance are also avoided.

The invention provides a word vector configuration method and a device, a storage medium and an electronic device, and the word vector configuration method provided by the invention comprises the steps: determining a first vocabulary of a to-be-configured initial word vector; judging whether the first vocabulary is in a word vector dictionary, and the word vector dictionary is used for storing theone-to-one correspondence relation between multiple vocabularies and multiple word vectors; if it is judged that the first vocabulary is not in the word vector dictionary, executing stroke disassembling on the first vocabulary, and obtaining a stroke sequence; calculating the similarity between the stroke sequence of each vocabulary in the word vector dictionary and the stroke sequence of the first vocabulary; and determining a word vector corresponding to the vocabulary with the highest stroke sequence similarity with the first vocabulary, and configuring the word vector as an initial word vector of the first vocabulary. According to the method and the device, the technical problem that the precision of subsequent training tasks is reduced when the word vectors of the unregistered wordsare configured in a random allocation mode in related technologies is solved.

The invention relates to an elevator serial button based on the serial communication protocol, which includes an input module, a button module, an MCU module, an indicator, an output module, a power module and a communication module; the button module includes 1 to N buttons; N can be a positive integer from 2 to 64; the signal line (SCLK) of each button is connected with that of a main board; the output of the main board is connected with the input of a first button; the output of the first button is connected with the input of the second button, and so on; the output of the last button is connected with the input of the main board; both ends of the main board power are subsequently connected with the first button to the last button with the help of connection of two adjacent buttons; the invention has the advantages of main board resource saving, convenience in connection, guide wire saving, and random allocation of the button functions.

The invention discloses a topic modeling method based on a selected cell. The method includes extracting words, segment structures and word features contained in searching results in a database according to a query request; determining topics adopted by modeling; producing each segment structure topic, word topic and binary choice through random allocation; determining the variables through the Gibbs sampling process iteratively; feeding significant documents, words of each topic and capacities for words with various features to express the topic of the located segment structure to users according to final allocating results of the variables. The method has the advantages that topic modeling can be performed on various modal data; implicit structural information of the data is utilized fully, and disadvantages due to strong structural constraints are eliminated; information of correlation between the word features and the segment structural constraints can be provided, and the users are assisted to understand the data; the method has good extensibility and can serve as algorithm basis of various applications.

The invention provides an intelligent doctor scheduling method, system and device based on clinical teaching, and a medium, and the method comprises the steps: constructing figure portrait features according to the basic information of members, wherein the figure portrait features comprise weights set according to professional and clinical diagnosis and treatment capabilities, and the members comprise superior doctors and subordinate doctors; dividing a plurality of posts according to departments and teaching requirements; collecting limiting factors and historical scheduling records of each member in the member module, and matching each member in the member module to each post and matching each student with each doctor according to figure portrait features and scheduling rules so as to determine a scheduling result. According to the invention, manpower can be reduced, highly-automatic and highly-adaptive shift arrangement is realized, energy is saved, efficiency is improved, and teaching quality is improved; the efficient arrangement, strong error correction and setting of error correction links are realized, and equal and random allocation of learning opportunities is realized; each member can be maintained, the system carries out matching and labor division on tasks according to rules, the system has perspectiveness, and repeated work is avoided.