43 results about "Autonomic control" patented technology

An apparatus, system, and method are disclosed for autonomic management of data operations and performance resources on a grid computing system. An autonomic management apparatus includes a monitor module, a policy module, and a regulation module. The monitor module is configured to monitor the grid computing system for a trigger event. The policy module is configured to access one of a plurality of system policies. Each of the plurality of system policies corresponds to an operational control parameter of a system resource of the grid computing system. The regulation module is configured to autonomically regulate the system resource in response to a recognized trigger event according to one of the plurality of system policies. The trigger event may be a prediction trigger event, an initiation trigger event, a regulation trigger event, or a termination trigger event.

An autonomic network node system for providing at least one virtual router (VR) for providing on demand virtual routing service, the autonomic network node system includes a plurality of autonomic router components (ARCs) comprising at least one autonomic control component (ACC) and at least one autonomic forwarding component (AFC), physical resources comprising a plurality of logical resource partitions (LRPs), at least one database for storing information relating to the plurality of ARCs and LRPs, and a autonomic framework configured for receiving at least one request of on demand virtual routing service, accessing at the at least one database, allocating at least one LRP to perform at least one ARC to be installed in the autonomic network node system, installing the at least one ARC in the autonomic network node system, allocating the installed ARC and, updating the at least one database.

A distributed mediation network and method of employing such is provided, having a plurality of different types of network module. Each module has a non-reciprocal path therethrough for network traffic and the distribution of network traffic across the network is managed by an autonomic control plane.

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.

A wearable action assisting device comprises 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.

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.

The invention discloses a training method and system for a rope traction upper limb rehabilitation robot based on admittance control. When a user performs an upper limb joint rehabilitation training exercise, an interaction force signal of the upper limbs of the user applied to the rope traction rehabilitation robot and a kinematic signal of the upper limbs are collected in real time; the interaction force signal is converted into a motion parameter of a desired motion trajectory through an admittance model, and a motion parameter of a target motion trajectory is determined according to the motion parameter of the desired motion trajectory and the kinematic signal of the upper limbs; the determined motion parameter serves as a controlled variable to be converted into a motor control variable of the rope traction rehabilitation robot, and corresponding motor output is controlled to achieve a self-control rehabilitation training movement of the user, thereby increasing the active participation of the user.

Provided is an implemental method for a network entity to independently control protocol heartbeats, which is to transmit heartbeats information between network elements such as a gateway, a media server,etc., the network elements are those successful login of soft-switch, the transmission period of the heartbeats information is self-controlled by the transmitter, and survival statuss of the opposite terminal is found in time, so scheduled countermeasures are adopted in time according to the variety of the opposite terminal such as the scheduled transmission period, response results to the heartbeats information of the opposite terminal network entity from each equipment. The present invention adopts each network entity of H.28 protocol, heartbeats information is indepedently and self-controlled transmitted between the soft-switch and the network equipment without mutual interference and restriction, discontinuity of a chain-route is determined by an information retransmission mechanism which adopts the H.248 protocol, so the survival statuss of the opposite terminal is found by both the soft-switch and the network equipment, scheduled countermeasures are adopted in time according to the variety of the opposite terminal, and then the network performance and the operation function quality are improved.

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 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.

The invention discloses an autonomous dynamic analytic mapping control method and system. Dynamic monitoring data are obtained from different data sources; analytic mapping is carried out based on a preset analysis rule to obtain a corresponding control rule; and on the basis of the control rule, an execution terminal is controlled to execute a corresponding control action. With the control method disclosed by the invention, massive detection data can be fed back in real time by sensor network nodes with a one-to-hundred, one-to-thousand, or even larger order of magnitudes; and a data analytic cluster is constructed and hundreds of or thousands of execution terminals can make corresponding control actions in quick response to variables.

The invention belongs to the technical field of rehabilitation orthotics, and discloses an active type knee-hyperextension lower-limb rehabilitation exoskeleton device. The active type knee-hyperextension lower-limb rehabilitation exoskeleton device comprises a back-part assembly, a right-side waist-part control assembly, a left-side waist-part control assembly, a right-side knee joint motion execution assembly and a left-side knee joint motion execution assembly, wherein the right-side waist-part control assembly and the left-side waist-part control assembly are respectively arranged on the back-part assembly in a symmetric mode; and the right-side waist-part control assembly and the left-side waist-part control assembly are correspondingly connected with the right-side knee joint motionexecution assembly and the left-side knee joint motion execution assembly. The exoskeleton device provided by the invention has the characteristics of comfort in wearing, compactness in structure, reliability in positioning, long endurance time and large bearing capacity, can effectively reinforce autonomous control of a patient suffering from knee hyperextension, reduces the weight of a motion execution assembly at the knee joint of the patient and local stress of the lower limbs of the patient in the wearing process, and does not affect the functional activities of the patient at the same time.

The invention relates to a voice signal control based upper limb function rehabilitation training system, comprising a main control module, a continuous passive motion (CPM) module, a voice module and a control panel. A user selects a voice operation mode by virtue of the control panel, a voice command is sent out and is transmitted to the voice module by virtue of a microphone, the voice module receives and analyzes the voice command, then the voice command is matched with a related control command request, and then the request is transmitted to the main control module, the main control module converts the request into corresponding control command, and the control command is transmitted to the CPM module, thus driving the upper limb of a patient to move. The system adopts a voice signal to control CPM of upper limbs, so that the patient can autonomously control the comprehensive upper limb function rehabilitation training system to complete CPM training on the upper limbs by speaking out a control command.

The present invention relates to an LED lighting controller based on a gesture and automatic control and a control method. The LED lighting controller based on a gesture and automatic control comprises an MCU control module, a gesture control module, an autonomic control module and an LED dimming and color control module. The gesture control module and the autonomic control module, as inputs, are separately connected to the MCU control module, and after a detected gesture operation signal or a light intensity signal is processed, input the processed signal to the MCU control module. An output of the MCU control module is connected to the LED dimming and color control module, and the lighting intensity and color of an LED lighting lamp are adjusted by the LED dimming and color control module. According to the LED lighting controller based on a gesture and automatic control and the control method provided by the present invention, the lighting intensity and color of an LED lighting lamp are automatically adjusted by a gesture or light intensity, thereby implementing intelligent lighting, and meeting requirements of LED intelligent lighting on different occasions.

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 distributed mediation network and method of employing such is provided, having a plurality of different types of network module. Each module has a non-reciprocal path therethrough for network traffic and the distribution of network traffic across the network is managed by an autonomic control plane.

Methods and systems incorporating non-linear dynamic (NLD) analysis such as entropy or other complexity analysis monitoring continuous or evoked signals from a biological subject are presented, where such a system comprises of processing steps including: a) the combination of a biological signal evoked as a result of patient stimulation presented to a biological subject and a non-linear analysis method capable of capturing temporal changes in signal order or regularity; b) any combination of processed evoked or continuous central nervous or peripheral physiological mechanisms b) a means to generate a measure indicative of a patient's level of anaesthesia and consciousness depth (A&CD), sedation or sleep / wake state. Methods and systems incorporating a NLD analysis means to improve the discrimination between different signals origins including any combination of: a) central nervous system (CNS), b) peripheral control or nervous system (PNS), c) autonomic control or nervous system (ANS), d) arousals, and e) artifacts.

A computer system includes a computer, a calibration module, an event detection module, and an application interface module. The computer executes one or more applications and receives pointing device events generated by a pointing device connected to the computer. The calibration module modifies a rate of movement of a cursor displayed by the computer in response to the pointing device events. The event detection module detects a less-than-optimal calibration indicator from the pointing device events and modifies the rate of movement of the cursor. The application interface module communicates with the application being performed on the computer. A storage module for storing calibration information may also be included.

The invention relates to a carbon dioxide fire extinguishing autonomic control system and a control method thereof. The control method comprises the following steps: detecting flows, pressures and temperatures of a liquid inlet pipeline and a gas outlet pipeline through a sensor, and transmitting detected data to a computer; and analyzing a numerical value by a computer, adjusting the opening degrees of electric valve bodies on the liquid inlet pipeline and the gas outlet pipeline according to the numerical value, and controlling the flows and the pressures. The carbon dioxide fire extinguishing autonomic control system and the control method thereof provided by the invention are accurate in measurement, are of automatic control, and are high in safety, wide in application range, and particularly suitable for a movable chamber.

The invention discloses an auxiliary device for artificial pneumatic control coughs. The auxiliary device comprises a pneumatic control switch valve and an air bag, wherein the pneumatic control switch valve is a normally open valve body; the pneumatic control switch valve is arranged along a ventilation pipe and is arranged at a position close to the mouth of a patient; and the air bag is arranged outside the body and is connected with the pneumatic control switch valve through a pipeline. According to the device, the pneumatic control switch valve is combined with the simple air bag, the patient can hold breath through the pneumatic control switch valve, the breath holding time is autonomously controlled through the air bag held in the hand, and when the patient feels that coughs are needed, the patient can inhale deeply by himself and hold the air bag before expiration, so that the pneumatic control switch valve is closed and then loosened, and a higher gas outlet flow is formed; and therefore, the purposes of removing sputum in small airways, promoting the control of pulmonary infection and the rehabilitation of the patient and reducing the risk of nosocomial infection are achieved, and the device is simple in overall structure, low in cost and convenient to operate.

The invention discloses a prosthesis control method with multi-sensor fusion, relates to the field of prosthesis technology, and comprises the following steps: a first sensor collects the myoelectric signal of an amputee's forearm muscle when it voluntarily contracts; the first sensor detects a second The information of the sensor determines the wrist direction of the prosthetic hand of the amputee; after the wrist of the prosthetic hand is adjusted to a posture suitable for grasping, the camera is triggered by muscle contraction, and the camera captures the grasped object The third sensor determines the grasping mode of the prosthetic hand according to the grasped object captured by the camera device, and controls the grasping mode of the prosthetic hand to grasp the object through the muscle contraction ratio of the amputee; Grip strength; the amputee can let go of the grasped object through muscle contraction. This method can enable amputee patients to control the prosthetic hand autonomously, with more natural operation, no need for training process, more friendly experience and more convenient use.

The invention discloses an intelligent breathing training method for a critical patient, which comprises the following steps: S1, a medical worker inputs patient conditions including age, gender, occupational condition, illness condition and treatment condition information of the patient into a central control computer, and sets a breathing training evaluation standard; s2, acquiring the heart rate of the patient in real time through an electrocardio sensor worn on the body of the patient, acquiring the oxyhemoglobin saturation and respiratory rate of the patient in real time through a pulse oxygen sensor, and acquiring high pressure, low pressure and pulse through a blood pressure sensor; s3, through an artificial intelligence algorithm, according to the condition and time of the patient, a treatment oxygen uptake condition is formulated, an oxygen solenoid valve is autonomously controlled to adjust the oxygen concentration, a heater is controlled to adjust the oxygen temperature, an atomizer is controlled to adjust the oxygen humidity, and the respiratory function of the patient is further exercised. According to the method, the breathing exercise of the critical patient is mainly carried out autonomously according to the disease recovery condition of the patient, the human body biological clock and the surrounding environment factors, and the speed of rapidly improving the health recovery of the patient is achieved.

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.

The invention provides a method and a device for determining execution action speed levels and a storage medium. The method comprises the following steps: acquiring a surface electromyography of limb action; determining an active segment signal of an action potential according to the surface electromyography; calculating a change rate of the action potential based on the active segment signal; and determining an execution action speed level based on the change rate and a preset threshold. According to the invention, the execution action speed level is determined based on self-surface electromyography, so as to realize the calculation of limb movement speed according to the autonomous control of muscle segments, with important significance in controlling the execution action speed of bionic prosthesis for amputees.

A portable and wearable hand-grasp neuro-orthosis is configured for use in a home environment to restore volitionally controlled grasp functions for a subject with a cervical spinal cord injury (SCI). The neuro-orthosis may include: a wearable sleeve with electrodes; electronics for operating the wearable sleeve to perform functional electrical stimulation (FES) and electromyography (EMG), the electronics configured for mounting on a wheelchair; and a controller configured for mounting on a wheelchair. The controller controls the electronics to read EMG via the sleeve, decode the read EMG to determine an intent of the user, and operate the electronics to apply FES via the sleeve to implement the intent of the user. The neuro-orthosis may restore hand function. The controller may include a display arranged to be viewed by the subject, for example mounted on an articulated arm attached to the wheelchair.

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.