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175 results about "Game strategy" patented technology

Card dispensing shoe with scanner apparatus, system and method therefor

The present invention is directed to a playing card dispensing shoe apparatus, system and method wherein the shoe has a card scanner which scans the indicia on a playing card as the card moves along and out of a chute of the shoe by operation of the dealer. The scanner comprises an optical-sensor used in combination with a neural network which is trained using error back-propagation to recognize the card suits and card values of the playing cards as they are moved past the scanner. The scanning process in combination with a central processing unit (CPU) determines the progress of the play of the game and, by identifying card counting systems or basic playing strategies in use by the players of the game, provides means to limit or prevent casino losses and calculate the Theoretical Win of the casino, thus also providing an accurate quality method of the amount of comps to be given a particular player. The shoe is also provided with additional devices which make it simple and easy to access, record and display other data relevant to the play of the game. These include means for acconunodating a "customer-tracking card" which reads each player's account information from a magnetic stripe on the card, thus providing access to the player's customer data file stored on the casino's computer system, and one or more alpha-numeric keyboards and LCD displays used to enter and retrieve player and game information. Also included are keyboards on the game table so that each player can individually select various playing or wagering options using their own keyboard.
Owner:PROGRESSIVE GAMING INT

Electric vehicle quick charging demand scheduling method based on load space transfer

ActiveCN110458332AScientific and effective scheduling planCharging stationsInternal combustion piston enginesSimulationFast charging
An electric vehicle rapid charging demand scheduling method based on load space transfer comprises the steps of dynamically selecting a path of an urban road network and sequentially establishing a road section dynamic travel time model and a dynamic path selection model; establishing a charging navigation scheme considering the congestion degree of the charging station, wherein a user charging navigation model, a charging station group service capability optimization model and a charging selection model considering vehicle decision dynamic evolution are sequentially established; and establishing an ordered rapid charging strategy based on the interaction between the charging station and the electric vehicle, including formulating the cost of the charging station and establishing a master-slave game model of the charging station and the electric vehicle. Factors such as interaction influence of multi-vehicle charging selection and non-uniform facility utilization rate of the urban fastcharging station are considered in the electric vehicle fast charging demand scheduling process; the interactive influence of charging station selection and path selection between vehicles and the interactive game strategy between stations and vehicles are fully considered, and a more scientific and effective scheduling scheme can be provided for quick charging of electric vehicles.
Owner:TIANJIN UNIV

Distributed positioning device and method based on game method in wireless sensor network

The invention discloses a distributed positioning device and a distributed positioning method based on a game method in a wireless sensor network and belongs to the technical field of wireless sensor positioning. The distributed positioning device comprises a node state acquiring device, a measuring distance calculator, a neighbour node set establisher, an anchor node information filter, a position strategy space generator, a node position calculator, a threshold value setter, a comparator, a node converter and a node state broadcaster. According to the distributed positioning device and the distributed positioning method disclosed by the invention, only the communication and the negotiation with neighbour nodes are needed in the positioning process, so that the load overhead for positioning can be greatly reduced and energy consumption of the positioning process is reduced. Furthermore, a game strategy space is determined by negotiating with anchor neighbour nodes before the game starts; accurate positioning conditions are determined by using continuous accurate positioning times, and thus rapid convergence of a positioning algorithm can be accelerated; the accurate positions of sensor nodes can be quickly and effectively positioned, a good performance is also realized in high-density and few-node deployed environments and a better expansibility is obtained.
Owner:NORTHEASTERN UNIV

Network optimal defense strategy selection method and device based on bounded rational game theory

ActiveCN108833402AObjectively reflect randomnessObjectively reflect diversityTransmissionTheoretical computer scienceArtificial intelligence
The invention belongs to the technical field of network security and particularly relates to a network optimal defense strategy selection method and device based on a bounded rational game theory. Themethod comprises the following steps: constructing an offensive and defensive game model in a bounded rational situation according to the bounded rationality of the actual offensive and defensive sides; a random optimal reaction dynamic differential equation of a participant selection strategy is established by setting a participant rationality degree parameter in combination with an offensive and defensive game strategy set and according to historical data; the two simultaneous offensive and defensive parties are treated as the random optimal reaction dynamic differential equation of the participant; and an optimal defense strategy is determined and output by solving and screening a stable equilibrium point. Compared with the method of only giving an equilibrium solution and not analyzing the Nash equilibrium formation process, the network optimal defense strategy selection method and device based on bounded rational game theory in the present invention analyze the dynamic evolutionprocess of the bounded rational evolution game equilibrium, and the utility and the guiding significance are stronger when being applied to network defense decision; the dynamic analysis efficiency ofstrategy selection can be improved; and the network security performance is further improved.
Owner:PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU +1

Game strategy generation method of non-complete information

The invention relates to a strategy generation method under non-complete information gaming. The method comprises following specific steps: the opponent behavior modeling step that, before gaming is performed, according to a specific rule of the gaming, modeling for each behavior of an opponent is performed; the behavior collection and information prediction step that, in the gaming process, information of each action of the opponent is recorded, and the information is converted into probability distribution of opponent information through a model; the win rate calculation step which is performed according to a prediction and that, according to the probability distribution, a simulation is performed through a monte carlo method to obtain an own win rate; and the step that an expect benefit of each behavior is calculated according to the win rate finally, and the haviro having the highest expect benefit is selected to be taken as a final decision. A new thought is provided for the non-complete information gaming, the method has the advantages of clear logic, simple implementation and accurate calculations of the opponent information and the win rate, the decision-making capability in specific situation can be improved, a decision benefit is maximized, and then industrial production efficiency is improved.
Owner:ZHEJIANG UNIV

Competition game-based cooperative wind power ramp control system and competition game-based cooperative wind power ramp control method

The invention discloses a competition game-based cooperative wind power ramp control system and a competition game-based cooperative wind power ramp control method. By coordinatively controlling a wind farm cluster, wind farms and wind-driven generators, a central grid control station ensures that the output of the wind farms or the wind farm cluster can operate according to a given output curve or change rule, so that the ramp characteristic of wind power is improved and the connection of wind power with a grid is more friendly; according to the operating state of each wind farm, the central grid control station dynamically divides combined power generation unit substations, assigns subordinate wind farms, and issues a planned output curve to the combined power generation units; according to the actual output conditions of the wind farms and the planned output curve, the combined power generation units work out power adjustment magnitudes of the combined power generation units, and each wind farm controls the substations to compete for the power adjustment, so that respective benefits are maximized; and the wind farms control the substations to adopt different game strategies to compete to obtain total power adjustment magnitude of the combined power generation units, so that respective benefits are maximized.
Owner:SHANDONG UNIV

Multi-microgrid game optimization method based on generation prediction in cloud energy storage environment

The invention discloses a multi-microgrid game optimization method based on power generation prediction in a cloud energy storage environment, belonging to the technical field of power system automation. Aimed to maximize the transaction revenue of multi-micro-grid and cloud energy storage, the method builds an overall joint optimization model of a multi-microgrid system; the overall joint optimization model is decomposed into subsystem models with a single micro-grid as the main body; according to the real-time meteorological information, the day-ahead output condition of each main body is predicted; according to the historical data of other main bodies, each main body predicts the day-ahead output of other main bodies; by taking the electricity sales and purchase volume of the current main body and the cloud energy storage transaction as participants and the electricity sales and purchase volume of other main bodies and the energy storage transaction as competitors and by seeking forthe Nash equilibrium point of the profit maximization benefit function of each subject and the profit maximization benefit function of cloud energy storage operators, each subsystem model is solved and the game strategy set of each subject is obtained, which realizes the profit maximization of each subject and the whole cloud energy storage operators and the optimal allocation of resources of thewhole system.
Owner:NANJING UNIV OF POSTS & TELECOMM
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