42 results about "Group cooperation" patented technology

The invention discloses a multi-UAV (unmanned aerial vehicle) dynamic formation control method, and belongs to the technical field of flight control. The multi-UAV dynamic formation control method includes steps as follows: step 1, a formation keeping method; step 2, an obstacle avoidance method; and step 3, a behavior-based formation process, wherein the behavior-based formation process includes behavior decomposition and control realization. The method solves the defect that the traditional virtual structure manner formation control has higher communication quality requirement; the behavior-based formation control method is introduced to lower the requirement of formation wireless data link update rate and enhances the obstacle avoidance capability of the UAV group formation; and aiming at the defect that the traditional behavior-based manner formation control cannot keep good formation rigidity, a virtual structure is introduced for reference. On the premise of keeping the relatively stable formation, the capability of obstacle and threat avoidance of a microminiature UAV can be enhanced, and the method has a certain reference value for UAV group cooperation low-altitude penetration.

The invention provides an interactive dark ride configured and designed to stimulate the development of creative thinking and problem solving abilities and to encourage group cooperation and team work. A dark ride vehicle is also provided having inward-facing seating adapted to facilitate socializing and group gaming activities among ride participants during the ride sequence. Various interactive effects are provided along a defined ride path and / or along various associated ride cueing areas. The interactive effects are configured and arranged such that ride participants selectively actuate the various effects by successfully completing various requested tasks. Some or all of the interactive effects require the cooperation of multiple ride participants (either on the same vehicle, other vehicles and / or in adjacent queuing areas) in order to actuate the desired effect(s).

The invention discloses a cascade reservoir optimal operation method based on the adaptive particle swarm optimization algorithm. According to the method, aiming at the defect of the particle swarm method in cascade reservoir optimal operation, fixed initialization improvement is conducted firstly on particle random initialization to enable the algorithm to have the possibility of approaching the optimal value at the beginning, large-scale dead zones do not exist, convergence speed is increased, and the stability of the algorithm is improved; then according to the group cooperation idea and the cluster ecological niche idea, an initialized group is dynamically divided into three subgroups, optimization and parameter selection are conducted on each subgroup in an adaptive mode according to the difference of particles, and in this way, the particle diversity is improved, the information exchange model is changed, and local optimum of the algorithm is avoided. According to the improved algorithm, the function problems of nonlinearity and multiple local minima can be well solved, and an effective and feasible solution is provided for cascade reservoir optimal operation.

The invention discloses a group cooperation system and method based on a virtual terminal in a mobile environment. The group cooperation system with individuals as the center and group moving models as the core is built based on the virtual terminal. When Qos demands of a user for a service are not high, a moving prediction task is executed, namely, all kinds of state information of participated terminals are autonomously looked up through the participated terminals by predicting moving conditions of the center node user, and a plurality of terminals capable of providing the optimum service experience for the user are selected in advance through a controller according to factors like service requirements and user preference to constitute dynamically-changed virtual terminal groups; when Qos demands of the user for the service are high, a moving guide task is executed, namely, state information of all terminals in regions close to current spots is collected and is used in cooperation with the target direction of the user to judge the terminal group of which region can best meet service requirements, and the terminal group serves as the moving direction of the user in the next step to ensure that the user can enjoy the optimum service experience in the moving process all the time.

The invention discloses a system and a method for building collaborative groups which support mobile environment and are combined with computer technology and communication technology. The system and the method include a mobile client and a comprehensive platform which supports mobile collaborative service; and the comprehensive platform comprises a mobile collaborative service supporting platform MAS system and an embedded client which are provided with a plurality of functional modules. Mobile user groups which cooperate by means of wireless terminal units such as personal digital processing, mobile phones or notebook computers through wired and wireless network structures are divided into a plurality of basic collaborative units-collaborative groups to conduct collaborative activity according to the cooperation aims, the equipment supporting capabilities, the areas and the social relationship of the units. The system and the method are applicable in group cooperation field like mobile business, mobile government, amusement and recreation, and military and defense, and can reach good and efficient cooperation to complete the task collaboratively.

The invention relates to a RoboBee cluster control method and system. A RoboBee can sense the external environment via a sensor module, locate the position of itself to provide convenience for group cooperation via a positioning system, execute a present task via an execution mechanism, communicate with other RoboBees via a communication modules, and form a distributed computer network after communication and networking via a coordinated controller. A user communicates with a RoboBee cluster, including instruction issuing and task distribution, via a communication module in a cluster control system, and time standards of the RoboBee cluster are made uniform via a synchronizing module. The method and system have the advantages that the whole RoboBee cluster can form a self-organizing network to implement distributed cooperative computing even the single RoboBee is not high in intelligence and is low in cost and simple in control, a high-difficulty task that cannot be completed by the single RoboBee can be completed by the cluster, manual intervention is not needed in the task execution process, and the system and method have a dynamic self-healing capability and is high in reliability.

The invention relates to the field of artificial intelligence, and discloses a multi-agent group cooperation strategy automatic generation method, which defines agents and strategy networks thereof according to a specific application environment, evaluates the networks and experiences, and realizes automatic generation of a multi-agent cooperation strategy. The adopted algorithm provides three innovations on the basis of the MADDPG algorithm: trace information, multi-agent cooperative team formation and birth and death training. The learning history of the intelligent agent in the environmentcan leave a trace amount of information in the environment, and the user can learn the experience of other people through the trace amount of information intelligent agent to avoid walking; the training efficiency can be improved through cooperative team formation of the multiple intelligent agents; finally, the agents with excellent learning ability in the environment are inherited to all information of themselves through filial generations to continue to be trained through birth and death training, the agents with poor learning ability in the environment return to the initial point to be trained again through death, and the generation and evaluation efficiency of the multi-agent cooperation strategy can be greatly improved.

Data is obtained specifying a measure of a data set to be analyzed by human experts and allotted time for analysis completion. Based on same, a schedule is created for a primary meeting of human experts, whose aim is to analyze the data. The meeting is evaluated to create rate estimates for hypothetical meeting partitions; and, if the primary meeting is not adhering to schedule and / or can be speeded up, the meeting partitions are simulated until a partitioning scheme is determined that can restore the meeting to schedule and / or speed it up. In another aspect, a model of focus of attention of each member of a group of individuals engaged in an activity requiring cooperation is dynamically updated, and a cooperation index is determined based on the model of focus of attention, an interaction graph, and at least one physiological parameter of at least one of the members.

The invention discloses a grouping cooperative transmission method of vehicles with a caching capability in the Internet of Vehicles environment. The grouping cooperative transmission method comprises the steps of: step 1, grouping the vehicles on roads and performing group maintenance; step 2, acquiring cache data by adopting a request feedback method; step 3, and adopting an LRU cache replacement and updating strategy. The grouping cooperative transmission method utilizes a V2V communication method to combine with the vehicles with the cache capability, adopts the transmission method of grouping cooperation and updates data of node cache regularly, thereby being capable of improving stability of the transmission process and reducing network service cost, significantly reducing redundant network forwarding, reduce network delay, making data more efficient in the forwarding process, and ensuring the timeliness and usefulness of local cache data.

The invention discloses a robot cloud system, which is characterized by comprising a server side, a robot cluster and a robot cloud system interaction interface, wherein the server side comprises an advanced intelligent data resource and capability pool, an emotion computing and emotion creation module and a data transmission module; the robot cluster comprises a robot collection, interaction of robots, interaction of the robot and the server side S, and interaction of the robot and a user. The robot cloud system is applicable to large-scale robot service tasks, the robot emotion service is blended, and the quality, the efficiency and the expansibility of the robot service are improved based on guaranteeing the capability of robot group cooperation.

The invention discloses a dynamic grouping cooperation spectrum detection method based on bandwidth limitation, belonging to the technical field of cognitive radio of wireless communication. A cognitive radio system comprises an authorized user, a detection channel, cognitive users, an inter-cognitive user channel, a feedback channel and a base station. The method comprises the following steps: firstly, the cognitive users are dynamically grouped according to the state information of the inter-user channel; two thresholds are set to only allow the cognitive user with high detection credibility to transmit a detection result to a cluster head; the cluster head transmits a fusion judgment result to the base station through a cooperative mode; and finally, the base station makes the final result decision. In the case of limited bandwidth, the method disclosed by the invention can remarkably reduce the information transmission overhead by losing some negligible system detection performance. At a grouping link, dynamic grouping can be realized by comparing the bit error rate of the channel during direct transmission by the cognitive user and during forwarding transmission of the detection result by the cluster head, and the system performance is obviously improved by the dynamic grouping in comparison with the grouping by a fixed user.

The invention relates to a cluster cooperative communication network system based on a blockchain and a communication method, the cluster cooperative communication network system comprises a multi-intelligent group and a group cooperation model installed on the multi-intelligent group, wherein the group cooperation model comprises a group trust environment module, and a trust cooperation relationship between distributed nodes is established through a consensus algorithm; a point-to-point information sharing module used for carrying out point-to-point information transmission through a P2P network and carrying out point-to-point effective communication and information sharing on multiple intelligent groups; a group cooperation coordination control module used for guaranteeing multi-intelligent group distributed coordination control based on a blockchain consensus algorithm; and a Merkle tree-based storage and recording module used for storing transaction information of each intelligentgroup in a Merkle tree form. Through mechanisms of trust removal, information public transparency, distributed cooperation and the like, the communication cost of cooperation members is effectively reduced, the trust among the cooperation members is enhanced, the cooperation efficiency is improved, the credibility and quality of group cooperation are guaranteed, and the problems of rapid information sharing among the members and group cooperation trust are solved.

The invention provides an unmanned system-oriented starling-group-type intelligent group dynamic network topology construction method. Network topology construction is carried out to realize agent group cooperation, and initialization of an agent group and corresponding parameters is included; a network status transition mechanism is set, corresponding network state operation is judged and executed for a current frame according to physical locations of the agent group and obstacles, a labeled small-world network is constructed if no obstacle exists, a 6-neighbor network is constructed if the group is about to approach an obstacle influence area, and network topology splitting is carried out if the group is located in the obstacle influence area; and next moment speed and location updatingof each agent in the agent group is carried out until the agent group reaches a destination or a maximum iteration number is reached. Agent group system synchronization capability of the method can behigher than that of traditional regular networks, random networks and the like, and the method has scalability and stability, and can have a very broad application prospect in the aspect of unmannedsystems.

The invention discloses a cache method based on inter-group cooperation under a cellular heterogeneous network. The cache method based on inter-group cooperation under the cellular heterogeneous network comprises establishing a cellular heterogeneous network system model; formulating energy performance indexes and generating a problem to be optimized; and solving the optimization problem with thesimulated annealing algorithm. The invention describes the detailed process of the provided cellular heterogeneous network caching strategy based on the inter-group cooperation, and stipulates and analyzes the file caching mechanism of each base station. By means of the technical scheme disclosed by the invention, the network system model is established reasonably in the scenario of the cellular heterogeneous network; and the corresponding caching strategy is formulated; therefore, the energy consumption of the network is reduced.

The invention relates to a synergistic visual search system and method capable of sharing attentions. The synergistic visual search system comprises a visual sampling and encoding module, a visual search module, a group cooperation module, an eye movement generating module, an eye movement sharing module and a group decision making module, wherein the virtual sampling and encoding module is respectively connected with the visual search module and the eye movement generating module and is used for receiving target encoding information of the virtual search module in the sampling process, generating a saliency map from top to bottom by utilizing a target searching, matching and eliminating method provided by the virtual search module, and generating two saliency maps which are respectively from top to bottom and from bottom to top on an eye movement sharing platform by eye movement information of the eye movement generating module; the group cooperation module is connected with the eye movement sharing module, shows behaviors on the eye movement sharing platform by coordinating the behaviors, and carries out interaction by utilizing various media mediums; and the group decision making module is connected with the eye movement sharing module by various media mediums and is used for analyzing current state information and determining a final decision by allocation of search strategies and tasks. According to the synergistic visual search system and method which are provided by the invention, unsmooth communication is eliminated, search failures generated by errors are indicated, and meanwhile, by utilizing multiple channels, cooperation efficiency can be effectively improved.

Data is obtained specifying a measure of a data set to be analyzed by human experts and allotted time for analysis completion. Based on same, a schedule is created for a primary meeting of human experts, whose aim is to analyze the data. The meeting is evaluated to create rate estimates for hypothetical meeting partitions; and, if the primary meeting is not adhering to schedule and / or can be speeded up, the meeting partitions are simulated until a partitioning scheme is determined that can restore the meeting to schedule and / or speed it up. In another aspect, a model of focus of attention of each member of a group of individuals engaged in an activity requiring cooperation is dynamically updated, and a cooperation index is determined based on the model of focus of attention, an interaction graph, and at least one physiological parameter of at least one of the members.

The invention relates to the technical field of distributed optimization control of a distribution network, in particular to a distribution network distributed optimization control method with distributed power group cooperation. The method is characterized in that a distributed power supply in the distribution network is divided into a power control group and multiple voltage control groups; eachvoltage control group exchanges an active power utilization rate by using a distributed consistency algorithm to achieve optimal control of a certain node voltage; and the power control group exchanges the active power utilization rate by using the distributed consistency algorithm and sets the active power exchanged between the distribution network and an external power grid as a given value. The optimization control method realizes the optimization control of multiple objects of the distribution network in a distributed manner, and has good scalability, high robustness and high reliability,and is very suitable for the optimization operation of a distribution network with high-permeability distributed power access.

The invention relates to a grouping-based concurrent locking method for collaborative editing, belonging to the field of collaborative editing in computer science. The invention aims at solving the problem of mutual exclusion and intra-group cooperation among N groups of multi-users in cooperative editing, reducing collision waiting time and improving system efficiency on the premise of ensuring independence and integrity of each group of editors as much as possible. The invention provides a calculation method of user priority coefficient and cooperation index and four concurrent locking strategies. When a user joins a system to initiate an editing activity, a grouping in which the user is located is first judged, a new group is established if there is no grouping, an existing grouping isadded to the group, and a locking application area is then processed. At that time of conflict, different solution are adopted for conflict with members of the same group and conflicts with other members of the group, so as to strengthen cooperation in the group and improve concurrency of the cooperative edit system. The invention is widely applicable to application scenes of collaborative processing graphics documents and the like for collaborative editing in a two-dimensional cooperative space.

The invention discloses a ball juggling sport apparatus for group cooperation training. The ball juggling sport apparatus for group cooperation training comprises a central juggling plate and pulling ropes. The ball juggling sport apparatus for group cooperation training is characterized in that the number of the pulling ropes is more than three, the inner ends of the pulling ropes are evenly distributed and connected onto the edge of the central juggling plate in the peripheral direction, each pulling rope is divided into an inner section and an outer section, outer juggling plates are connected between the inner sections and the outer sections of the pulling ropes, the outer juggling plates are evenly distributed in the peripheral direction of the central juggling plate, the distances between the outer juggling plates and the central juggling plate are equal, and the outer juggling plates which are adjacent in the peripheral direction are connected through connecting ropes; with no inclination, tacit understanding can be sought in games, cooperation can be sought in entertainment, no inimical emotion in work exists in group member activities, compared with actual working environments, the teamwork spirit can be better developed, the apparatus is simple, the site applicability is high, the long term launch of activities is facilitated, the fitness function and the cooperation cultivation are achieved at the same time in the games, and the function of killing two birds with one stone is achieved.

The invention provides a heterogeneous group unmanned system cooperative task management system based on a group role. The system comprises a group role resource manager for managing platform role resource requirements and resource constraint information, performing role dynamic matching based on the platform role resource requirements and resource constraints, a group role communication management and message transceiving module for defining an intra-group communication domain based on the group role, creating an intra-group communication channel and providing a message transceiving interface, and a group role execution engine for completing distribution, distribution and maintenance of the group roles based on the participated tasks and the group role matching result, allocating sub-group role communication channels and communication domains based on the communication channels and the communication domains; the system supports the management of the group cooperation task by taking the group role as a unit, so that the operating system has the capability of simultaneously managing a plurality of autonomous heterogeneous group unmanned systems executing different sub-tasks, the expansibility and the flexibility of the heterogeneous group unmanned systems are improved, and the convenience and development efficiency of group cooperation task development are improved.

The invention relates to an information synchronization system and method for a group of cipher machines. According to the system, the group comprises at least two cipher machines, and group cooperation modules are arranged in the cipher machines respectively, used for achieving synchronous instruction monitoring, synchronous information push and synchronous information receiving among the cipher machines, and further used for carrying out identity verification and information verification on the cipher machines pushing synchronous information for the cipher machines receiving the synchronous information. The theory of the information synchronization method is the same as the theory of the system. According to the information synchronization system and method, by synchronizing the information in the cipher machines automatically, the development cost needed when application interfaces and service systems of the cipher machines process similar services can be effectively reduced; besides, the real-time synchronization method improves the timeliness of synchronization of the cipher machines greatly.

The invention provides a Gaussian mixture model searching method based on an immune clonal selection algorithm. Immune clonal selection optimization is used as a basic searching algorithm. Dynamic neighborhood information is used to guide the search of a Gaussian mixture model in a search process, and finally a Gaussian mixture model which can express data characteristics is acquired. The method has the advantages that the searching method is a group-based intelligent random searching method, and has the advantages of group cooperation and heuristic multi-directional search; the method maps the Gaussian mixture model to an antibody, makes full use of the global search advantage of the immune clonal selection algorithm, and uses a mixed clonal mutation policy to improve the search quality; the method provided by the invention integrates the dynamic neighborhood information with anti-noise ability, so as to timely guide the search of the Gaussian mixture model; and the acquired high quality mixture Gaussian model can be used for new data prediction, classification and the like.

The invention discloses a group cooperation sharing system based on a digital service community and a working method. The group cooperation sharing system comprises a cloud server and a plurality of cooperation terminals connected with the cloud server; the cloud server comprises a management module, a group allocation module, a collaborative calling module and an optimization module; the cooperation terminal comprises a marking module; the cooperation terminal outputs a setting mark to the management module, and the management module records the cooperation terminal according to the setting mark; the group allocation module extracts set marks and groups the cooperative terminals according to the set marks, wherein the cooperative terminals in the same group are connected with each other;the cooperation calling module is used for calling a trigger signal sent by the group; the collaborative calling module identifies keywords in the trigger signal, compares the keywords with set marksof other groups, and screens the group with the highest activity; and the optimization module sends a cooperation signal to the cooperation terminal screened by the cooperation calling module, and ifthe cooperation terminal agrees, the optimization module adds the cooperation terminal into the group sending the trigger signal.

The embodiment of the invention discloses an UAV group cooperation system and an operating method thereof, and belongs to the field of UAV operation. The main points of the technical scheme are as follows: the UAV group cooperation system comprises multiple UAVs, an UAV mobile platform and a ground control station; the circuit structure of an UAV comprises a main control module, a positioning module, an induction module, a communication module and a power supply module; a server in wireless communication with each UAV is arranged on the UAV mobile platform; the server performs statistical calculation on the cargo information and the electric quantity information of each UAV; the ground control station is connected with the communication module of the UAV; the position of the UAV mobile platform is transmitted to the UAV; and thus, the effect that charging and material supplying processes are relatively convenient in an UAV operation process can be realized.

The invention belongs to the technical field of network security, in particular to a threat detection system and method based on a group intelligence theory. The system includes: a heterogeneous static detector, which is embedded into cloud nodes in a cloud environment and which carries out threat detection by monitoring cloud node ports; a heterogeneous dynamic detector, which is hung to the cloud nodes in the cloud environment and which carries out threat detection by a dynamic walking mode; a detection domain construction module, which determines a detection domain according to a task execution environment and security protection requirements under the cloud environment, dynamically adjusts the detection domain according to the change of the context environment and realizes dynamic reconstruction of the detection domain through information sharing of the detection domain; and a group cooperation module, which utilizes the static detector and the dynamic detector to carry on threat closure detection of the static detector early warning and the dynamic detector joint decision in the detection domain. Through a decentralized detection structure and a detector linkage mechanism of group cooperation, the accuracy and the efficiency of threat detection under the cloud environment are improved, and the safety and the reliability of a network are improved.

Pedestrian movement and the mutual relation between pedestrians and the environment are studied through crowd simulation, and a method is used for pre-event prediction or post-event inspection for urban infrastructure planning, large public activity planning, emergency evacuation of emergencies and the like. According to the method, common behaviors such as pedestrian avoidance, congestion, congestion, attraction and repulsion in real life can be simulated by constructing mechanical models between pedestrians and between pedestrians and the environment, and the movement mode of pedestrians indifferent scenes can be simulated by combining the particularity of pedestrians in different scenes. According to the method, the inter-group avoidance behavior and the coordination behavior of the sub-group in the group are added into the model; the avoidance behaviors in different environments can be simulated, and if the sub-groups are forced to be separated in the avoidance process, the different rows of sub-groups can be kept in central symmetry by adding the force that the rear row of sub-groups get close to the front row of sub-groups, and a certain distance beneficial to walking is kept. On one hand, the current crowd simulation is widely applied to the fields of travel, fire protection, buildings and the like, and the quality of a crowd simulation result meets the requirements ofreality and rapid visualization; and on the other hand, the model better conforms to real pedestrian behaviors, and special phenomena under different attribute pedestrians and scenes can be simulatedby adjusting parameters, so that the model has very high social application value.

The invention discloses a neighbor discovery method based on node cooperation. The invention designs a neighbor discovery method based on node cooperation according to the characteristics of a low-duty-ratio wireless sensor network. According to the method, nodes within a specific distance threshold value are regarded as a cooperative group based on the receiving intensity of signals, and awakening time slots of all the nodes in the group are replanned, so that the nodes in the group are jointly responsible for an awakening task of an awakening time table of the cooperative group. Meanwhile, the optimal group scale capable of maximizing the energy efficiency of the cooperative group is researched, factors which cannot be ignored on the energy efficiency of the cooperative group are quantitatively analyzed, and the optimal values of all parameters which enable the energy efficiency of the cooperative group to be optimal are derived. Correspondingly, a set of cooperative group managementmechanism is designed in the method, and the whole life cycle of the cooperative group comprises group establishment, group information sharing, group cooperation and group dissociation. According tothe neighbor discovery method, the integrity of the node awakening time table is ensured, and meanwhile, the awakening time slot with low energy efficiency can be effectively reduced.