34 results about "Pursuer" patented technology

The invention discloses a self-adaptive hunting device using multiple robot pursuers to hunt a single moving target and a method. The method comprises multiple-stage dividing of a hunting process, a pursuing policy based on a bionic neural network, angular relationship surrounding and multiple virtual potential points. According to the step of multiple-stage dividing of the hunting process, multiple-stage modeling is carried out for the hunting process; a hunting task is divided into four stages of searching, pursuing, surrounding and arresting; and policies corresponding to four stages are used for controlling. According to the pursuing policy based on the bionic neural network, a bionic neural network method used in a multiple-robot system is migrated to a hunting environment, and hunting guide is carried out on multiple robot pursuers. According to angular relationship surrounding, an angular relationship is used to adjust the movement direction of the pursuers. According to multiple virtual potential points, multiple virtual potential points are arranged to form an arresting formation, and the final hunting task is completed. According to the invention, the hunting process is divided into different stages; in the pursuing stage, the bionic neural network method is used to solve uncertainty, dynamics and instantaneity of an environment; and efficient obstacle avoidance and hunting are completed.

The present invention is a self-leveling follower for an ammunition magazine. Side extensions provide greater stability to the follower and aid in its self-leveling feature. The follower according to the present invention is also manufactured to facilitate removal from and insertion into the magazine casing when maintaining the magazine. Additional features provide greater utility by improving bolt-stop capacity and consistency of ammunition feed.

The invention discloses a Stackelberg game power control method based on interruption probability constraint in the cognitive radio network. A double-layer network is established. A main user serves as a leader in a model, and an interference price is set for a cognitive user; and the cognitive user serves as a follower, when the authorized frequency range of the main user is used, corresponding charge is paid to the main user, and thus, a corresponding utility function is set. An optimized game problem with constraint is established by taking the maximal emission power of the user, the threshold of interference temperature and interruption probability constraint into consideration. The optimal emission power of the main user and the cognitive user under the constraint condition can be obtained by solving the optimized game problem in the Lagrange decomposition method and KTT condition, an asynchronous distributed power control algorithm is provided for convergence to Nash equilibrium, and the complexity of the algorithm is greatly reduced. The network throughput is further improved, and the interruption probability of users is reduced.

The invention discloses a coordination control method based on the modeling of an actuator saturation multi-intelligent system and relates to the field of multi-intelligent systems. The method comprises the following steps of firstly, establishing an object subsystem mathematical model that meets the production scheduling requirements and the information flow rule constraints of the production process; secondly, establishing an information interaction network among all subsystems through statistical analysis, determining a leader system and a tracker system, and obtaining a self-adaptive coupling weight among network parameters and subsystems by utilizing relevant indexes; thirdly, respectively constructing a low-gain controller and a high-gain controller through solving out the feasible solutions of controllers; finally, applying low-high gain adaptive control laws to each subsystem to realize the tracking control of the leader system for the tracker system. According to the technical scheme of the invention, the obtained controller can be applied to various nonlinear dynamic systems and nonlinear input variables. Meanwhile, the method can also be directly applied to existing distributed control systems. Based on the method, the control cost is reduced, and the control precision is improved.

The invention relates to a proportion guide law recognition filtering method. The invention aims at solving problems that a conventional MMAE filer supposes that a model is not accurate because a PN guide law navigation constant is known and does not give consideration to the saturation condition of a pursuer controller, and the estimation precision is low. The method comprises the steps: firstly building state equations of PN guide law saturation and motion models in pitching and yam planes; secondly calculating a system state transfer matrix and designing a Kalman filter equation; thirdly calculating the posterior probabilities of the PN guide law motion and saturation motion models of a pursuer at the current moment; finally calculating the switching moment of the pursuer motion model according to the posterior probabilities, employing the estimation result of the saturation motion model Kalman filter equation, or else, employing the estimation result of a PN guide law motion Kalman filter equation. The method is suitable for the field of spaceflight.

The present invention discloses an event-driven consistency control method with communication relationship automatic matching, belonging to the technical field of automation control. The method is for a multi-agent system with one leader. Firstly, a single agent is subjected to abstract modeling to obtain the state space realization model of a controlled multi-agent system, if the multi-agent system is stable, an event-driven tracking control protocol is designed, the communication relation of the system is simplified as a tree communication network by using a communication relationship automatic matching program, each follower is allowed to track the direct leader of the follower one to one, and the event-driven consistency control of the whole multi-agent system is realized. According to the method, the amount of communication in the system is reduced, the communication pressure of the system is reduced, the event trigger frequency of the system is reduced, the system power consumption is reduced, and at the same time, compared with the traditional distributed event-driven control method, the design process of a control protocol is greatly simplified.

The invention relates to a system and method for social interaction about content items such as movies. Systems and methods are provided for sharing movie information online are disclosed. In one implementation, the user of an online movie service can share information about the contents of a library or other such rights locker, e.g., under Ultraviolet and DECE. Users may also share likes and dislikes. The movie service may make suggestions based on the contents of the user's library and the contents of other user's libraries, such as those of the user's designated friends. A user can become a follower or fan of another user and receive recommendations based on the target user's profile or specific recommendations made by the target. The user can receive a credit on their account or on a related account when another user makes a purchase that is attributable to that user, e.g., from a recommendation. A user may be designated as an influencer when followed by a sufficient number of other users.

The invention discloses a method for predicting visual attention area transfer in gray images, which comprises four steps of: determining leaders, searching followers, calculating significant values and ordering the significant values. The step of determining the leaders is to calculate side potentials of all pixels and determine the leaders in the pixels according to the acquired side potentials and a threshold value. The step of searching the followers is to determine the followers of each leader in all the pixels according to the connectivity and the similarity to form different areas, wherein each area may comprise more than one leader, but in the actual computer implementation process, the leader following other leaders is regarded as a follower. The step of calculating the significant values is to calculate the obtained areas respectively, and one area corresponds to one significant value. The step of ordering the significant values is to order all the areas according to the magnitude of the significant values and take the front three areas. The method successfully introduces the selective attention function of a human vision system into a computer vision system, and can simulate and predict attention transfer of a human eye view point among different areas.

The invention discloses a photovoltaic battery parameter identification method based on a swarm search algorithm. The photovoltaic battery parameter identification method is used for identifying photovoltaic battery parameters of a single-stage grid-connected photovoltaic power generation system and comprises the following steps: acquiring output voltage and output current of a photovoltaic array, and output voltage and output current of a photovoltaic battery; building a photovoltaic battery mechanism model, and determining a target function and parameters to be identified; initializing model parameters to determine a finder, a follower and a straggler; updating the positions of the finder, the follower and the straggler; calculating target function values corresponding to the new positions, and re-distributing the finder, the follower and the straggler; and outputting a parameter identification result. According to the photovoltaic battery parameter identification method based on the swarm search algorithm, due to the randomness of the straggler and the local optimization of the finder, the optimization speed is high; meanwhile, global search is retained all the time, so that the problem of the local minimum of optimization is effectively solved; and the photovoltaic battery parameter identification method has an obvious advantage in optimization of a multi-modal high-dimension non-linear function.

Determining a location of a user on a social network platform is difficult due to incorrect information or lack of information associated with the user. A system and method are provided to compute contextual similarity. This includes, for example, computing content similarity between seed users and followers / friends, as well as computing an engagement score between seed users and followers / friends. The system also computes geo-social-spatial similarity. The similarity scores are used in any inference computation to infer the geo-locations of the followers of the seed users, and subject users who share common friends with the seed users. The user geo-location inference database is updated using the result. Other seed users are selected, and the process is repeated.

Aspects of the disclosure relate to serving content. In one example, while on a shopping trip at a store, a device may scan for wireless network access point information. The scanned information may be compared to a location model store to determine the device's location in the store and how the device is moving through the store. This information may be compared to behavior models. In one example, identifying a behavior model may include comparing the average speed of the device to a single threshold value (faster or slower than this speed?), by comparing the behaviors of the device to a set of pre-determined behavior models (the browser, the list-follower, the single-item purchaser), or by comparing to the device's shopping habits. The behavior model may then be used to select and serve content.

An online social community uses lists maintained by each community member, with corresponding community consensus charts reflecting the tabulation of the individual member charts weighted to reflect each member's status and rating as a tastemaker, influencer or follower. The status and ratings will be calculated to reflect (a) the individual member's history and timeliness in identifying and / or following artists or music within the community results; and (b) the individual member's history and value of influencing other members of the community to adopt their choices.

The invention discloses an active defense sight policy collaborative guidance law design method based on an IMM filter, relates to an active defense sight policy collaborative guidance law based on the IMM filter and aims at solving the problem that in the prior art, a motion model is changed and under the condition, the guidance precision of an MMAE filtering method is reduced due to the fact that a pursuer (opposite interception aircraft) employs different navigation constants in different guidance phases. The method comprises the steps of 1, establishing pursuer motion models; 2, designingthe IMM filter on an evader and a Kalman filter on a defender; and 3, establishing a super twisting sight guidance law based on the IMM filter. The method is applied to missile active defense guidancerate involved filed.

The invention discloses an Internet of Things multi-source cross composite authentication method based on a block chain, and belongs to the technical field of gateway security authentication. The method comprises the following steps: object initialization: initializing each equipment object and generating a private key / public key pair; a bubble creating step: the main server sends a bubble request; the block chain checks the uniqueness of the bubble request and the transaction is valid to create a bubble; the bubble is composed of a master controller and a follower. A follower association step: the blockchain verifies that the device object following relationship is unique and effective according to the smart contract, and associates the follower with the bubble. An access control step: carrying out access control on the equipment object and the transaction by the block chain, and carrying out control that the same bubble cannot be created, allowing the equipment object in the same bubble to exchange data, and not allowing the equipment object between different bubbles to exchange data. Reliable identification and authentication of equipment are ensured, and the integrity and availability of data are protected. The method is suitable for most Internet of Things scenes, and easy integration of new equipment, services and use cases is ensured.

The invention relates to a skin-moistening and hair-blacking black sesame paste, which is composed of the following raw materials by weight part: 100-120 of black sesame seeds, 20-30 of glutinous rice, 25-35 of mangosteen, 20-30 of apricots, 20-30 of Vitis willsonae, 10-20 of figs, 10-20 of mulberries, 4-5 of Poria cocos, 2-3 of KangXian flowers, 4-5 of barley, 3-5 of Gentiana veitchiorum Hemsl, 3-4 of Schisandra chinensis, 2-3 of American ginseng, 2-3 of black roots, 4-5 of green tea leaves, 1-2 of peanut leaves, 80-100 of honey, 80-100 of rock candy, and a proper amount of water. The skin-moistening and hair-blacking black sesame paste provided in the invention has refreshing and slippery mouthfeel and fruit flavor, is rich in cellulose, vitamin, and is especially added with KangXian flowers, barley, Gentiana veitchiorum Hemsl and other effective components of homologous Chinese herbal medicines, and also has a skin-moistening effect, thus being an optimal health care food for beauty pursuers.

The invention discloses potential sustainable traffic network design integrated with societal, economic, environmental and safe dimensions. Therefore, a multi-target double-layer model is developed, and the leader-follower essential relationship between a planner and a traveler is clearly expressed. On an upper layer, a planner designs a sustainable traffic network by optimizing investment budgetallocation. At the lower layer, the traveler makes a series of behavior responses to the traffic network design at the upper layer through a four-stage model with feedback. The feedback process can converge to traffic system equalization, and an equalization result is further fed back to the upper layer to measure the sustainability of the traffic network. In order to solve the proposed multi-target double-layer model, the invention designs a multi-attribute decision-making method on the basis of Dirichlet distribution, a continuous average method, a Frank-Wolfe algorithm and a Dijkstra algorithm. An example of an Nguyen-Dupuis network is used for verifying the effectiveness of the method disclosed by the invention. Research finds that a designed method is effective for searching satisfactory solutions.

A system, method and computer readable indexing and storage medium, for generating historical data, is provided which, based on historical accounts and records, assist in the decision making process as it relates to human resources and the management of the field supply and demand. The data collected by way of personal entries, provides a personalized experience for the recruitment navigational and the benefit assignment tools. The imported data portion accesses the central database records comprising of employee write-ups, awards, recommendations, pink slips, promotions, etc. Depending on the data attached to a specific profile, the system will rank the hiring potential of a job seeking applicant, the providers of opportunities and the eligibility of the pursuers of program benefits. The system will be designed to interact with all communication platforms (mobile, tablets, PCs, laptops etc.). Other methods and apparatuses are also described.

The invention discloses a pursuing effect display method comprising the following steps: acquiring a game picture, and establishing a three-dimensional coordinate system according to the game picture;obtaining current coordinates of a pursuer object on the three-dimensional coordinate system, and obtaining current coordinates of an object to be pursued on the three-dimensional coordinate system;obtaining the current distance between the pursuer and the object to be pursued, and adjusting the current speed and direction of the pursuer when the current distance is greater than a preset first distance threshold, so as to enable the pursuer object to pursue towards the object to be pursued; when the current distance is smaller than the first distance threshold value and larger than a presetsecond distance threshold value, adjusting the pursuing direction and the pursuing speed value of the pursuer object, so that when a steering time node arrives, the pursuing direction of the pursuer is aligned with the object to be pursued; and when the current distance is smaller than the second distance threshold value, judging whether the pursuer object hits the object to be pursued or not. Theinvention further discloses a pursuing effect display device, computer equipment and a storage medium. According to the pursuing effect display method and device, the computer equipment and the storage medium in the invention, the visual effect of simulating a pursuing picture is greatly improved.

A method and apparatus for providing the full spread social impact score of individual users on defined issues beyond their direct adherents via a novel social media website is described. A social impact score may be compared with that of other individuals to provide a social impact rating. A prescient impact score may be calculated to recognize talent or its absence ahead of others in social media. For this it employs the novel means of an affiliation tree, which may include its negative counterpart, the razzy tree. The same method and apparatus can be used for determining the market impact score and rating for individual message placements.

The invention discloses a three-dimensional guidance law identification filtering method based on IMM_UKF and relates to guidance law identification filtering methods based on IMM_UKF. The method aimsto solve the problem that in the prior art, a hostile intercept missile pursuer can adopt different navigation constants at different guidance stages, consequently a motion model is changed, and guidance precision of an MMAE filtering method is lowered under the condition. According to the process of the method, first, a relative motion equation of an evader and the pursuer is established; second, based on the relative motion equation, established in the first step, of the evader and the pursuer, a pursuer motion model relative to the evader is established; and third, based on the pursuer motion model, established in the second step, relative to the evader, an IMM filter on the evader is designed. The method is applied to the missile active defense guidance rate involved field.

An embodiment of the invention discloses a breast beautifying method and system based on AI (artificial intelligence) autologous cell resuscitation, wherein the method comprises the steps of conditioning the breast lymphatic system based on a juvenilizing rhythmic physical activation therapy; sucking autologous fat with a fourth-generation hollow micro needle, and carrying screening and filling; implanting a pro energy ligament to a subcutaneous fascial layer of the breast, and introducing autologous cells to the pro energy ligament so that the autologous cells are activated by the pro energyligament; introducing P cells into the breast to improve the part through a P cell energy set combined with a bio-energy activation technique so that the survival rate and growth rate of micro fat cells are increased. The method and system of the invention have the advantages that naturalness and attractiveness are ensured through the fine design style in the breast beauty process, the breast beauty risk is lessened, and pain of a beauty pursuer is alleviated.

Described herein is a Leader-Follower Additive Manufacturing (AM) system which controls multiple AM Devices (3D Printers) simultaneously in order to minimize human monitoring and control during the mass manufacture of AM products. This is accomplished by combining individual AM device closed-loop feedback control with the ability for AM devices to communicate feedback loop data to other AM devices. The communication of feedback loop data between AM devices during the mass fabrication of AM components improves AM process reliability and repeatability. Within the system, AM devices are able to assume the roles of Leaders or Followers; Leader AM devices lead the Follower AM devices during the fabrication of multiple AM products. If errors occur during the fabrication of the AM products, individual AM devices are able to create and implement solutions that solve fabrication errors and communicate that data with the other AM devices for present and future AM fabrication efforts.