43 results about "Autonomic control" patented technology

Disclosed is a method of controlling a manufacturing system. The invention automatically monitors current levels of partially completed products waiting to be processed by a tool (or group of tools) and determines whether the current levels exceed a predetermined limit. If the current levels do exceed the predetermined limit, the invention performs an optimization process. However, if the current levels do not exceed the predetermined limit, the invention performs a dispatching process. In this dispatching process, the invention automatically projects future levels of partially completed products that will be supplied to the tool to identify a future work-in-process (WIP) bubble. The WIP bubble occurs when larger than normal amounts of partially completed products are supplied to the tool. The invention automatically adjusts the operating parameters of the tool based upon both the current levels and the future levels.

A policy creation support system is provided, which is capable of reducing cost for creation of an effective autonomic control policy. The policy creation support system measures information indicating performance of a monitoring target system, with regard to a monitoring item of a designated type, for each resource amount of an expandable resource, and selects one representative measurement value from among measurement values on a resource-amount basis. Then, the policy creation support system outputs the monitoring item, the resource amount serving as the monitoring item, and a range of the measurement value corresponding to the resource amount, as a countermeasure decision condition within a policy, by setting a range including the selected representative measurement value as the range of the measurement value.

In general, this disclosure describes techniques of managing resources in a service-oriented distributed computing system. As described in this disclosure, one or more control nodes provide for the efficient and automated allocation and management of resources within the distributed computing system. In order to provide automated allocation and management of computing functions and resources, a control node uses a set of governors. This set of governors includes a set of service governors to govern services used in the distributed computing system. The set of governors also includes a set of resource governors that govern individual resources of the services in the distributed computing system. The service governors and the resource governors may be implemented using finite state machines.

A wearable action assisting device includes an optional control unit for generating a first instruction signal for generating power depending on a biological potential signal in a drive source, an autonomic control unit for generating a second instruction signal for generating power depending on a phase of a task of the wearer in the drive source, a generation unit for generating a drive current of the drive source based on the first and second instruction signals, a display unit having a screen displaying thereon a coordinate axis corresponding to a strength of the power, a detection unit for detecting the coordinate of a designated position in the screen, and a setting unit for extracting parameters corresponding to the detected coordinate from a table defining a correspondence between a coordinate in the screen and parameters of the signal processing, and for setting the extracted parameters in the optional control unit.

Methods and systems are provided for autonomic control and optimization of computing systems. A plurality of component models for one or more components in an autonomic computing system are maintained in a system level database. These component models are obtained from a source external to the management server including the components associated with the models. Component models are added or removed from the database or updated as need. A system level management server in communication with the database utilizes the component models maintained in the system level database and generic component models as needed to compute an optimum state of the autonomic computing system. The autonomic computing system is managed in accordance with the computed optimum state.

The invention discloses a lower limb rehabilitation training device for the neurology department, and belongs to the field of medical care equipment. A central rotating shaft of the device is arrangedon a motor connected with a transmission, and a binding tape for fixing the foot of a patient is arranged on a pedal; a toe joint training component is arranged in the pedal and is driven by a concave-convex wheel, so that a rotating shaft top pillar pushes one end of a rotating sleeve rod up or down, and the other end of the rotating sleeve rod is pushed down or up by using a lever mechanism; atoe sleeve piece is driven by a moving rod to move up and down, so that the toe of the patient is upturned or bent down; a transverse direction training component is arranged on the pedal, the patientfreely controls a pedal panel and the toe sleeve piece to deflect together, and the related structure can satisfy the rotation requirement without affecting other actions. The lower limb rehabilitation training device provided by the invention has the functions of simultaneously training the hip joint, the knee joint, the ankle joint and the toe joint, can meet the exercise training of the jointsin the longitudinal and transverse directions, can carry out the active training and the passive training, has relatively comprehensive training functions and is easy to control.