162 results about "Probability of success" patented technology

A method and system (30, 50) for predicting the immediate success of a defibrillatory shock during cardiac arrest are shown. The sequencing of cardiopulmonary resuscitation is determined by an electronic computer (80) based on the probability of success as determined by a comparison of the amplitude spectrum area or the power spectrum area of an electrocardiogram sample and to empirical data. When the probability of successful resuscitation is 80% or greater, immediate defibrillation is implemented. When the probability of success is 20% or less, advanced cardiopulmonary resuscitation is implemented. When the probability of success remains greater than 20% but less than 80% for a period of four minutes, the patient is also defibrillated.

A cellular wireless packet data communication system containing transmit-only endpoint devices which transmit to receive-only base stations. The system is configured to allow for large area coverage (e.g., a metropolitan area) with far fewer number base stations than are required with conventional two-way cellular systems. The base station coverage areas are configured to overlap, allowing for reception of packets at multiple base stations. A data concentrator resolves redundantly received messages. The network is configurable as a WAN, a LAN, or a combination of the two. Novel modulation techniques (e.g., a 16QAM submodulation together with a 7FSK modulation) are used such that low cost components can be used in the transmitters and receivers while achieving outstanding probability of success performance. The endpoint devices are battery operated and accordingly, are designed for low power consumption and multi-year battery life. The system is used in a variety of applications including remote monitoring and mobile communications.

A system and method of operating a monitoring and response system for an actor in a daily living environment that relies upon learned models of behavior for adapting system operation. The learned model of behavior preferably includes sequential patterns organized pursuant to assigned partition values that in turn are generated based upon an evaluation of accumulated data. Based upon reference to the learned model of behavior, the system can generate more appropriate response plans based upon expected or unexpected activities, more readily recognize intended activities, recognize abandoned tasks, formulate probabilities of method choice, build probabilities of action success, anticipate and respond to actor movement within the environment, optimize response plan effectiveness, and share learned models across two or more separate system installations.

A system and method for creating a predictive model to select an object from a group of objects that can be associated with a requested web page, wherein a configuration of the requested web page defines a subgroup of one or more selected objects from the group of objects. Exemplary embodiments of the present invention seek to provide novel solutions for determining which content object, taken from a group of content objects, will be best suited for presentation in association with a link on a web page that has been requested by a certain surfer. Each web page can include one or more links to be associated with content objects from the group.

For each content object presented over a requested web page, a predictive model with relevant predictive factors is processed such that the predicted objective, the probability of success for example, is calculated. A success is defined as a surfer responding to the presented content. For example, should a surfer select a relevant content object, the probability of the objects that can be presented is calculated. Subsequently, the objects with the highest predictive expected utility are selected to be associated with the links in the web page requested by the surfer.

A system and a method for creating a predictive model to select an object from a group of objects that can be associated with a requested web-page, wherein a configuration of the requested web-page defines a subgroup of one or more selected objects from the group of objects. Each web-page can include one or more links to be associated with content objects from the group. For each content object presented over a requested web-page, one or more predictive model with relevant predictive factors is processed such that the predicted objective, the probability of success for example, is calculated. A success is defined as a surfer responding to the presented content according to the preferences of the site owner. Each predicted model can be associated with a key-performance indicator (KPI). Further, a predictive model can reflect the number of times the surfer requested the web page during the surfer's visit.

A system for the representation, editing, evaluation, and inference of graphical models is disclosed which can be used to construct and evaluate a graphical model or graphical network and to calculate inference values. An efficient method of updating graphical models is demonstrated, and provides the basis for an improved system for manipulation and evaluation of probabilistic models. The graphical network editor is useful in the construction of graphical modes such as Bayesian Networks. The graphical network and network graphical user interface (GUI) are used in conjunction with each other to model a system wherein failure probabilities and the current state of components are taken into account to monitor the health and progress of a system for an engineer or engineering software to evaluate and monitor. The evaluation is useful in the monitoring of assets and other real systems having multiple, dependent, and independently operating components such as a pump, a manufacturing plant, a production line, an assembly line, where asset health and quality control is a concern. The asset components each influencing some overall outcome of a system or situation. Success or failure or probability of success, probability of failure and health of the system can be monitored and manipulated by altering the values of prior probability and posterior probability values. Failure correlation between components can be evaluated wherein failure rates of asset is unknown. Production and quality can be monitored and altered.

Prediction markets are used to determine the probability of an experimental therapeutic, diagnostic, or prophylactic candidate meeting clinical trial and post-trial goals, such as clinical trial endpoints and timelines. The prediction market processes buy and sell orders from market participants, while adjusting the prices of the securities according to the orders. The securities have specific meanings which correspond to goals in clinical trials or other outcomes in clinical candidate development. The price of a security determined by the market corresponds to the probability of the corresponding goal or outcome. The participants are selected for their expert knowledge of specific factors related to candidate development. Using appropriately selected securities and participants, the prediction market may be used to generate probabilities of success useful for long-range planning and valuation, determining production timelines and volumes, management of candidates in a development portfolio, and clinical management of patients by physicians.

The invention discloses an intelligent question answering method based on task-driven multi-round dialogue. The specific method comprises preparing data according to different tasks; obtaining intention classification model and element extraction model through training; promoting each round of dialogue through multi-round dialogue management mechanism and decision-making mechanism to complete theintelligent question answering method; wherein the intention classification model and element extraction model are used to analyze the intention and key elements of the user's questions or answers. The multi-round dialogue management mechanism and the decision-making mechanism are used for effectively assisting a user to complete multi-round dialogues around a task by continuously making decisionson the next optimal action to be taken according to the current state. Compared with the prior art, the intelligent question answering method based on task-driven multi-round dialogue realizes automatic initiation, guidance and multi-round dialogue within a limited range, improves the success probability of human-computer interaction, and can meet the requirements of people for obtaining information quickly and accurately.

Integrated surveillance systems and methods for processing multiple sensor inputs and determining a best route for avoiding multiple hazards. An example method performed on a first aircraft includes generating a plurality of routes for avoiding a previously determined alert from a first advisory system. Then, probability of success information is generated at other advisory systems for each of the plurality of routes. The best route of the plurality of routes is determined based on the generated probabilities and output to the flight crew or other aircraft. The probability of success information includes a previously defined uncertainty value. The uncertainty value corresponds to quality of data provided to or provided by the respective advisory system.

The invention relates to a network security situation assessment method, in particular, a Bayesian network-based multi-step attack security situation assessment method. The method includes the following steps that: multi-step attack generating patterns are mined through association analysis, so that an attack graph can be constructed; a Bayesian network is established according to the multi-step attack graph, attack wills, probability of success of attacks and the accuracy of event monitoring are defined as the probability attributes of the Bayesian network; based on the event monitoring, a multi-step attack risk is calculated according to the posterior reasoning and cumulative probability of the Bayesian network; and the security situations of a host and the whole network are quantitatively assessed according to a hierarchical quantitative assessment method. With the method of the invention adopted, the problem of lack of correlation analysis in a network security situation assessment process can be solved. According to the method of the invention, monitoring events are taken into risk assessment, and a network security situation assessment model is accurately established, and therefore, the effectiveness and real-time performance of the method of the invention can be enhanced.

A system and method for automated probabilistic planning of network attacks against infrastructures of computer networks and applications is provided. The embodiments automate the analysis and probabilistic planning of multi-step attacks to computer and application networks (in particular in the context of automating penetration tests), optimizing with respect to one of the following metrics: the probability of success of the actions, a numerical parameter that must be minimized (e.g., running time), or the number of logs generated by the control devices in the target network.

The present invention provides a gaming device, and more particularly a gaming device having a multi-round bonus scheme wherein each round has a probability of success. In one embodiment, the game maintains and displays a group of symbols, each symbol having an associated selector with which a player can select the symbol. The game also maintains and associates an item with the group, whereby the game can associate a variable quantity of the item with one or more of the symbols of the group. The player preferably chooses one selector and thus one symbol from each group of symbols. If the chosen symbol has an associated item, the game awards the player with a prize. If the player chooses a symbol unassociated with an item, the game does not award the player with a prize. Each round provides a group of symbols with different probabilities of the association of items to symbols.

A system and method for creating and executing a business model for domain specific decisions to compare possible alternative business solutions to maximize results is provided. A domain-specific return on investment (ROI) or financial measurements model and a calculator for buying and selling information technology based solutions targeted at improving overall business efficiency and effectiveness. This may include, for example, reducing lead time, improving probability of success, creating an innovative environment, enhancing corporate image, reducing cost and improving revenues, or the like. These business objectives may be connected to the capabilities provided by vendor solutions which might be based on technology, process, people, science, or the like, typically through concrete initiatives. Alternative solution components may be quantified and used to calculate financial impacts for various solution choices.

Embodiments of the invention reduce the probability of success of a DOS attack on a node receiving packets by decreasing the probability of random collisions of packets sent by a malicious user with those sent by honest users. The probability of random collisions may be reduced in one class of embodiments of the invention by supplementing the identification field of the IP header of each transmitted packet with at least one bit from another field of the header. The probability of random collisions may be reduced in another class of embodiments of the invention by ensuring that packets sent from a transmitting IPsec node to a receiving IPsec node are not fragmented.

A method of monitoring one or more bets includes: (a) receiving an alert comprising at least one wager on at least one sporting event; (b) receiving real-time updates comprising data representative of the at least one sporting event; (c) transforming the data representative of the at least one sporting event into a real-time probability of success of the at least one wager; and (d) transmitting the real-time probability of success to be displayed at a computing device. Other embodiments are also disclosed herein.

In prediction and machine-learning technology, using given information from a user and a set of choices (e.g., a hierarchy structure) and, using a classifier program, computing what is the next best choice for navigating the set of choices, or, more generally, the degree to which any choice at a current level is supported by the available information, i.e., a probability of success associated with each currently available choice. An interactive interface is provided between the user and the set owner that dynamically feeds back the results of classification to the user preferably at each navigation step, i.e., specifying probabilities, suggesting choices, or highlighting the best choice(s) or the path(s) most likely leading to the best ultimate choice of the set.

The invention designs a secure and efficient V2G energy trading mechanism in a network physical system using a block chain, edge computing and a contract theory. In this invention, a secure and efficient V2G energy trading framework is provided by exploring the block chain, the contract theory and marginal computing. First of all, a secure energy trading mechanism based on alliance block chain isdeveloped for V2G. Then, considering the asymmetric information scenario, an effective incentive mechanism based on contract theory is proposed. The social welfare optimization problem belongs to thedifference category of convex (DC) programming and is solved by iterative convex-concave process (CCP) algorithm. Next, edge computations have been incorporated to increase the probability of successin block creation. The computational resource allocation problem is modeled as a two-stage Steinberg game, and the optimal strategy is obtained by backward induction.

A system, device, and method for initial ranging that dynamically adjusts the backoff window size to maximize the probability of success during contention access. The invention takes a first system performance measurement using a first backoff window size, a second system performance measurement using a second backoff window size different than the first backoff window size, and determines a third backoff window size based on the first and second system performance measurements.