39 results about "Action planning" patented technology

A method for managing business information and account strategy by a business entity is provided. The method uses a computer system coupled to a database. The method includes receiving at the computer system information including historical financial data relating to at least one customer of the business entity, and entering into the computer at least one risk factor including at least one of a deal driver, a tracking source, a tracking frequency, a target metric, a trigger level, an impact of factor, and corresponding action plan wherein the risk factor indicating a risk associated with the business entity providing financing to the customer. The method further includes updating the database periodically with newly received information, and monitoring the at least one deal driver to determine whether to alter a current account strategy being applied by the business entity to the customer including updating a buy/hold/sell plan.

Risk management methods and systems are disclosed. Information regarding implicit social contracts affecting an organization is collected from one or more sources which are external to the organization. A reputation risk to the organization is then identified based on the collected information, and an indication of the identified reputation risk is provided to the organization. If multiple reputation risks are identified, then the risks may be ranked according to one or more ranking priority criteria. Once identified, reputation risks may be used, for example, in determining a valuation associated with the organization, implementing a remedial action plan for the organization to mitigate the reputation risks, and implementing a training program to disseminate the implicit social contracts, the reputation risks, or both. Reviews of activities of other organizations or legal proceedings relating to the implicit social contracts or any identified risks may be useful in assessing the magnitude of a risk.

This invention relates to computerized methods and systems for evaluating employee benefit plans. In one embodiment, a computerized method for determining improvement actions for an employee benefit plan includes uniquely associating an improvement action for one or more attributes of an employee benefit plan; receiving the status of one or more of the attributes for a first employee benefit plan; identifying the attributes of the first employee benefit plan which have a different status than a set of other employee benefit plans, and providing an action plan to improve the first employee benefit plan, the action plan comprising one or more actions associated with the identified attributes.

The invention includes methods to aid a user in managing massive data flow and multiple tasks in an optimal and productive way. The invention comprises methods for collecting, managing information for tasks, such as notes, email messages, and files in order to provide for fast access to the information and reduce time spent on organizing data. The invention also comprises methods of measurement priorities and methods of visual representation of multiple tasks that may simplify the choices for a user and make decisions more accurately and quicker, build action plans that are simpler and faster vs the existing ways of working. Moreover, the invention includes methods for tracking changes, receiving new information, and archiving obsolete data. Overall, the methods of the invention can optimize a user's workload and help to improve productivity by gaining the biggest value with fewer resources expended.

A robotic system includes a robot, sensors which measure status information including a position and orientation of the robot and an object within the workspace, and a controller. The controller, which visually debugs an operation of the robot, includes a simulator module, action planning module, and graphical user interface (GUI). The simulator module receives the status information and generates visual markers, in response to marker commands, as graphical depictions of the object and robot. An action planning module selects a next action of the robot. The marker generator module generates and outputs the marker commands to the simulator module in response to the selected next action. The GUI receives and displays the visual markers, selected future action, and input commands. Via the action planning module, the position and/or orientation of the visual markers are modified in real time to change the operation of the robot.

An information processing device includes a first unit which predicts use data used in the future on the basis of action plan information resulting from prediction of an action of a user, and outputs use data identification information; a second unit which predicts a communication state in a situation indicated by the action plan information on the basis of the action plan information and communication environment information regarding a communication environment of the terminal, and outputs information regarding the predicted communication state; and a third unit which calculates a prefetch necessary degree regarding each of the use data on the basis of the use data identification information and the information regarding the predicted communication state.

The invention provides an UUV multi-layer hybrid type immune agent structure modeling method. The method comprises the following steps: comparing a biological immune response mechanism and an Agent theory, and proposing an immune agent IA model; abstractly dividing the UUV model into a sensing module, a power propulsion module, a communication module, a control strategy module and a knowledge base module through a building block type modular abstracting method; designing a multi-layer hybrid structural UIA including a sensing performing layer, an action planning layer and a learning and memorizing layer; analyzing the function of each layer; designing formal description for an object; designing an UIA action rule library and a state library in detail; comprehensively describing the properties of an UIA model. According to the method, the UIA structure model built through the method packs a plurality of functions and properties, moreover, the structure layers are clear; the logic is clear; the module division is clear; the UIA structure model is clear to the UUV actual system; the modeling requirement of underwater UAV battle on UUV self-control degree and intelligence level can be achieved.

Simulation for evaluating approval/rejection of an action plan of the type in which work breakdown struction is changed by influences of external risk factors is achieved. A simulation apparatus includes a plan/risk input portion for accepting input of action plan data and risk scenario data, a plan/risk simulation portion for conducting simulation of an action plan by using the action plan data and the risk scenario data so accepted, and a plan evaluation output portion for evaluating a simulation result. The plan/risk simulation portion simulates occurrence of a risk phenomenon by using the risk scenario data, determines influence information given by the risk phenomenon to the action plan when the risk phenomenon is simulated as occurring and conducts simulation of the action plan by reflecting the influences of the risk scenario on the action plan by using the influence information so determined.

A traffic signal recognition unit recognizes a traffic signal of a traffic signal machine to be next followed on the basis of outside information. A traffic participant recognition unit recognizes the motion of a traffic participant on the basis of the outside information. A prediction unit predicts a traffic signal to be followed next on the basis of the motion of traffic participant recognized by the traffic participant recognition unit. A comparison unit compares the traffic signal recognized by the traffic signal recognition unit with the traffic signal predicted by the prediction unit. An action planning unit makes an action plan of a host vehicle on the basis of the comparison result of the comparison unit. A control unit carries out prescribed control on the basis of the action plan.

A method, apparatus, and system for controlling an aircraft. A target state for the aircraft is identified. A current mission state is determined for the aircraft. A sequence of actions is selected from a pool of potential actions to reach the target state from the current mission state for the aircraft. The sequence of actions is selected based on the current mission state. The actions in the sequence of actions for which preconditions for the actions that have been met are performed. The actions are performed in an order defined by the sequence of actions.

A mass spectrometry system is mounted with (1) an action planning module for determining a measurement schedule provided by a combination of an MS analysis and an MSⁿ analysis (where n≧2) according to a measuring time provided previously; and (2) a mass spectrometry unit having a tandem mass spectrometry function for outputting a mass spectrum obtained by performing each measurement action constructing the measurement schedule.

An autonomous vehicle system is provided with a peripheral condition detection unit (31) that detects the peripheral condition of an autonomous vehicle (200), and an action plan generation unit (45) that generates an action plan for the autonomous vehicle (200) on the basis of the peripheral condition detected by the peripheral condition detection unit (31), and a travel control unit (46) that controls a travel actuator (AC) of the autonomous vehicle (200) on the basis of the action plan generated by the action plan generation unit (45). The action plan generation unit (45) generates an actionplan in which an autonomous vehicle (200) is parked at a first point (Pc) of a first lane (301) and then converged between a first vehicle (201) and a second vehicle (202) behind the first vehicle (201) at a second point (Pb) of a second lane (302). The larger the maximum acceleration (Amax) that can be generated from the stop state of the autonomous vehicle (200), the closer the first point (Pc)is to the vehicle travel direction side.

The invention relates to the field of economic teaching, in particular to an internet virtual business society practical training platform and method. The platform comprises a learner login module, avirtual business environment, an industrial module, a financial module, a public service module, a management module and a data acquisition and analysis module, the learner login module is connected to the virtual business environment which comprises the industrial module, the financial module and the public service module, the industrial module, the public service module and the financial moduleare connected with one another, and the management module and the data acquisition and analysis module are connected to the virtual business environment. Accordingly, the practical ability of a leaneris strengthened, the learner adapts to the life which the learner needs to face after entering the society in advance, managers teach in practice, the teaching quality is strengthened, and the time lag problem of books in knowledge transmission is solved; the platform conforms to the real business society operation characteristic, operation is easy, the application range is wide, and implementation of nation-wide entrepreneurship and inclusive finance action plans of our country is accelerated.

A system (and method, and method for deploying computing infrastructure) for planning for development of at least one services solution offering, includes a generating unit that generates an action plan for at least one portion of a development lifecycle of the services solution offering.

The present invention provides an autonomous mobile apparatus, an autonomous mobile method and a program storage medium which can improve the technology of control of movement of an autonomous mobileapparatus. The autonomous mobile apparatus (100) that returns to a charger to be charged, the apparatus comprises a determiner that determines whether the apparatus is able to return to the charger, alocation obtainer that obtains a predetermined location, an action planner (14) that sets a destination, and sets a route to the destination, and a movement controller (15) that controls a drive so that the apparatus is moved along the route that is set by the action planner, wherein, when the determiner determines that the apparatus is not able to return to the charger, the action planner (14) sets the predetermined location obtained by the location obtainer as the destination.

Systems and methods for measuring the acquisition of a medical product by a patient are disclosed. The system may include a patient registration system, one or more patient care systems that includes at least one interactive response system. The patient registration system may capture a tracking code for the medical product the patient is taking and create an electronic patient specific data file in a database corresponding to the tracking code and the patient information. The patient care system may activate at least one system that collects patient's information, develops personalized patient monitoring parameters, receives a second set of data associated to the patient's interaction with the interactive response system, evaluate the second set of data against the personalized patient monitoring parameters, generate a feedback action plan for the user that measures patient's adherence to medical products and/or patient care systems, and triggers an intervention.

A includes a driver, and a processor configured to: based on an occurrence of an event for performing an operation, acquire target information corresponding to the operation and context information related to the robot, based on at least one of the target information or the context information, select an action plan, acquire action information based on the action plan, and control the driver such that an operation corresponding to the target information is performed based on the action information. The action plan is selected as a first action plan of performing an operation according to first action information stored in advance in the memory, a second action plan of performing an operation according to second action information generated based on the acquired target information and the acquired context information, and a third action plan of performing an operation according to third action information learned based on an operation pattern of the robot.

In an autonomous driving vehicle information presentation apparatus, an interference area setting unit sets an interference area on a scheduled travel route for a host vehicle based on an action plan for the host vehicle. A prediction unit predicts behavior of traffic participants with respect to the host vehicle based on the outside information. An extraction unit extracts, based on the interference area and the behavior of the traffic participants predicted by the prediction unit, a specific traffic participant among the traffic participants which is currently present in the interference area or expected to enter the interference area. An information presentation unit presents information on the action plan for the host vehicle to the specific traffic participant extracted by the extraction unit as a presentation target.

An autonomous driving vehicle information presentation apparatus including: a congestion information obtaining unit; a stop position prediction unit; an action plan generation unit; and an information presentation unit is provided.

There is provided a vehicle control device including: a recognizer that recognizes a situation of the vicinity of a subject vehicle and an action plan generator that generates an action plan of the subject vehicle based on a result of the recognition of the vicinity of the subject vehicle acquired by the recognizer, in which the recognizer recognizes an inter-vehicle distance between the subject vehicle and another vehicle traveling in front of the subject vehicle, and the action plan generator generates an action plan for changing the inter-vehicle distance between the subject vehicle and the other vehicle based on the result of the recognition of the inter-vehicle distance.