23 results about "Physical function" patented technology

Systems, methods, and apparatus are provided for multi-tenant SSD access control. In one or more examples, systems, devices, and methods include determining an ability of a storage device to support multiple tenants based on a physical function message from the storage device; identifying a tenant of a host communicatively connected with the storage device; negotiating an access contract between the tenant and the storage device, where the negotiation includes sending an access descriptor of the tenant to the storage device, the access descriptor indicating a requested access level to the storage device; receiving an access authorization from the storage device based on the negotiation, the access authorization including an access assignment of the tenant based on the access descriptor; and enabling the tenant to access the storage device based on configuring the virtualized computing environment for the tenant according to the access allocation.

A storage device includes one or more ports that form an electrical connection with an external device, one or more physical functions including physical resources, and exposed through the one or more ports to communicate with the external device, a storage controller that controls an operation of the storage device, and communicates with the external device through the one or more ports and the one or more physical functions, nonvolatile memories controlled by the storage controller, and a first buffer memory controlled by the storage controller. When the storage device is accessed by the external device, the first buffer memory is used by the one or more ports and the one or more physical functions to temporarily store data for the external device.

The application discloses a kind of based on physical function topology's substation secondary device state monitoring method and system, the substation secondary device is hierarchized according to physical composition and is decomposed into equipment, board piece, device, functional module etc.object;Different functional modules are combined into functional object again according to the time sequence of function execution;The monitoring element of different object is extracted, and the alarm information of each object is established based on the logical relationship between elements, and the device physical function topology model is formed;Operation and maintenance monitoring system reads the physical function topology model of the equipment to be measured and real-time monitoring element data, generates alarm information based on alarm logic, realizes the internal state monitoring of secondary device;Through the method, the internal state of the substation secondary device can be monitored and fault or abnormal positioning is realized, and the convenience of equipment operation and maintenance is improved.

1. Name of the design product: perspiration cabin. 2. Use of the design product: perspiration cabin for increasing blood oxygen content, accelerating metabolism and enhancing physical function. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

A care plan can be created based on the analysis results regarding the user's physical function. [Solution] According to one embodiment of the information processing method, the method includes an acquisition step of acquiring a care plan, an analysis step of acquiring analysis results regarding the user's physical functions, a classification step of categorizing the user's goals, a sorting step of sorting the analysis results and the categorized results into a matrix, and a generation step of generating a care plan and a plan document from the results of the sorting matrix.

The invention relates to the technical field of health risk assessment, and discloses an elderly health risk assessment method and system, and the method comprises the steps: collecting physiological parameter data and body function data of an elderly, and determining an initial health risk assessment value of the elderly; judging whether to adjust the initial health risk assessment value or not according to a comparison result of the collected real-time health data and a preset health threshold range; if yes, calculating a deviation value between the real-time health data and a preset health threshold range, and determining a final health risk assessment value according to the deviation value; according to a comparison result of the final health risk assessment value and a preset health risk range, judging whether potential risk analysis needs to be carried out or not; and if so, collecting psychological state data of the elderly to determine a potential risk value, and determining a health risk level according to a sum result of the potential risk value and the final health risk assessment value. Through multi-dimensional data integration, dynamic assessment adjustment and hierarchical risk analysis, systematic assessment of the health risk of the elderly is realized.

Computer implement methods that incorporated with statistical information from physical functions is provided. In particular, an artificial neural network with embedded physical functions is provided. Predictions from a physics-constrained neural network using residual learning are also described. Other aspects are directed to transfer learning.

A peripheral proxy subsystem (306) is placed between multiple hosts (302, 304) each having a root controller (312, 316) and a single root I / O virtualization (SR-IOV) peripheral device (308) to be shared. The peripheral proxy subsystem (306) provides a root controller (318) for endpoints (320) coupled to the SR-IOV peripheral device (308) or devices and multiple endpoints (310, 314) for coupling to the root controllers (312, 316) of the hosts (302, 304). The peripheral proxy subsystem (306) maps virtual functions of the SR-IOV peripheral device (308) to the multiple endpoints (310, 314) as needed to allow the virtual functions to be assigned to the hosts (302, 304). The virtual functions of the SR-IOV peripheral device (308) are then presented to the appropriate hosts (302, 304) as physical functions or virtual functions.

1. The name of the design product: fumigation cabin. 2. The use of the design product: fumigation cabin for improving blood oxygen content, accelerating metabolism, enhancing physical function and improving sleep quality. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present invention addresses the problem of providing a system capable of performing stable neural network reinforcement training independent of motion image capability without actual operation.　In the present invention, it is found that it is possible to activate a neural network by constructing an NIRS-NFB system using VR in combination and executing a problem in a pseudo manner under a VR environment.

The invention relates to the technical field of motion monitoring, and further relates to a fatigue monitoring method and device, a computer program product and electronic equipment. The method comprises the following steps: determining stride frequency data and running posture change data of a user according to acceleration data of the user in a movement process; determining the exercise load of the user according to the physiological data of the user in the exercise process; and determining the fatigue degree of the user according to the exercise load, the stride frequency data and the running posture change data. According to the method, the fatigue degree of the user can be comprehensively and accurately evaluated according to the acceleration data and the physiological data of the user in the exercise process as well as the stride frequency data, the running posture change data and the exercise load obtained from the acceleration data and the physiological data. The fatigue degree obtained by using the method not only can accurately reflect the body function state of the user, but also can avoid the problem of insufficient accuracy of the fatigue degree.

Provided are a computer product, system, and method for dynamic assignment of device queues to virtual functions to provide to virtual machines. Queues are assigned to a virtual function to access the physical functions of the device. The virtual function is provided to a virtual machine to use to access the physical functions of the device. A determination is made of a utilization of the queues assigned to the virtual function accessed by the virtual machine. A number of the queues assigned to the virtual functions for requests submitted by the virtual machine is changed in response to the determined utilization.

The invention discloses a transformer substation secondary device state monitoring method and system based on physical function topology. The transformer substation secondary device state monitoring method comprises the steps of hierarchically decomposing a transformer substation secondary device into objects such as equipment, plates, devices and functional modules according to physical composition; combining different function modules into a function object according to a function execution time sequence; extracting monitoring elements of different objects, establishing alarm information of each object based on a logical relationship between the elements, and forming a physical function topology model of the device; the operation and maintenance monitoring system generates alarm information based on alarm logic by reading a physical function topology model and real-time monitoring element data of the tested equipment, and realizes internal state monitoring of the secondary device; through the method, monitoring of the internal state of the substation secondary device and fault or abnormity positioning can be realized, and the operation and maintenance convenience of equipment is improved.

The disclosed technology includes functionality for managing a multi-physical function NVMe device ("MFND") and physical functions ("PFs") provided by the MFND. For example, a host device can discover the MFND, query the capabilities of the MFND, and change the operating mode of the MFND between user mode and super administrator mode. The host can also utilize the disclosed technology to create and delete individual sub-PFs on the MFND. The disclosed technology also includes functionality for managing settings associated with individual PFs of the MFND. For example, the host can query and modify settings associated with individual sub-PFs of the MFND. The disclosed technology also includes functionality for managing QoS provided by individual PFs of the MFND. For example, the host can also query and modify QoS provided by individual sub-PFs of the MFND.

1. The name of the design product: sleep cabin. 2. The use of the design product: micro-pressure health oxygen cabin for improving blood oxygen content, accelerating metabolism, enhancing physical function, improving sleep quality, improving brain hypoxia and skin hypoxia. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: microwave therapeutic instrument. 2. The use of the design product: for the rehabilitation treatment of patients' physical functions in neurology. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Disclosed is technology related to a matching solution for transfer care robots customized to the characteristics of care recipients. A transfer care robot matching method performed by a transfer care robot matching system, according to an embodiment, may comprise the steps of: storing, in a database, characteristics information about each of transfer care robots, the information including functions and capabilities thereof; and recommending a transfer care robot that accords with the characteristics information about a care recipient on the basis of the characteristics information about each of the transfer care robots, stored in the database, through an assessment of the physical function of the care recipient.

This invention relates to the field of rehabilitation data management technology, specifically to a method, device, and medium for predicting postoperative rehabilitation stages for osteoarthritis. The method includes: acquiring multi-dimensional prognostic factors corresponding to the patient; outputting a personalized postoperative rehabilitation stage for the patient through a pre-trained machine learning model; periodically updating physical function parameters; updating psychosocial parameters; and updating the personalized postoperative rehabilitation stage based on the updated parameters of the multi-dimensional prognostic factors. By integrating multi-dimensional prognostic factors such as basic physical characteristics, intraoperative parameters, functional status, and psychosocial factors, this invention overcomes the limitations of traditional template-based rehabilitation stages, generating a rehabilitation stage prediction tailored to each patient's individual circumstances, thus achieving personalized assessment of the patient's rehabilitation stage.

The invention relates to the technical field of rehabilitation data management, in particular to a postoperative rehabilitation stage estimation method and device for osteoarthritis and a medium, and relates to the field of rehabilitation data management.The method comprises the steps that a multi-dimensional prognosis factor corresponding to a patient is obtained; outputting a personalized postoperative rehabilitation stage corresponding to the patient through a pre-trained machine learning model; the body function parameters are updated regularly; updating the psychological and social parameters; the personalized postoperative rehabilitation stage is updated through the updating parameters of the multi-dimensional prognosis factors. By integrating basic body characteristics, intraoperative parameters, functional states, psychological society and other multi-dimensional prognosis factors, the limitation of a traditional templated rehabilitation stage is broken through, rehabilitation stage estimation fitting personal actual conditions can be generated for each patient, and personalized evaluation of the rehabilitation stage of the patient is achieved.

A storage device includes a nonvolatile memory device and a storage controller configured to control the nonvolatile memory device under control of a plurality of hosts. The storage controller includes a plurality of physical functions, respectively corresponding to the plurality of hosts, and a real-time manager configured to control the plurality of physical functions based on real-time information of a real-time command when the real-time command is issued from at least one host among the plurality of hosts.

This item is a sensor worn on the body of a user who requires rehabilitation, for example, to measure motion information. Data such as acceleration and angular velocity obtained from the sensor is used to record, analyze, and visualize the user's physical movements during the process of recovering physical function. The rounded rectangular part shown in the front view is a switch. When the item is in use, an LED installed inside lights up, as shown in the "Reference Diagram Showing the Usage State." The item is approximately 30 mm wide in plan view, and is worn on the user's body using a band or other device made of a separate material.

The application discloses a virtual machine Ceph cluster deployment method and device, equipment and medium, and relates to the field of computer network communication, which comprises the following steps: running OVS-DPDK in the system on a chip of a target intelligent network card, creating a virtual bridge, creating corresponding ports for each physical function and each virtual function of the target intelligent network card displayed to the target host, and adding the ports to the virtual bridge; on the host side, modifying each target physical function and each target virtual function assigned to the virtual machine from the kernel driver to the user state driver, modifying the target non-volatile fast memory in the target host assigned to the virtual machine from the kernel driver to the user state driver; starting each virtual machine based on the bus device function identification number corresponding to each target physical function, each target virtual function and each target non-volatile fast memory, and deploying each virtual machine into a Ceph cluster by using a preset cluster deployment tool. The storage access performance of the virtual machine Ceph cluster is improved.

To provide a system for detecting a physical function relative to a cognitive function.SOLUTION: A system includes a measurement device and a terminal provided with a display. The measurement device includes posture detection means that detects posture information of a user, and posture transmission means that transmits the posture information of the user to the terminal. The terminal includes: model display means that displays, on the display, a sample human-shaped model representing predetermined posture information and instructs the user to take the same posture motion as the sample human-shaped model; and body schema display means that displays, on the display as body schema information, a difference between the received posture information of the user and posture information of the sample human-shaped model. The display of the terminal may be a head-mounted type that can be worn on a head.SELECTED DRAWING: Figure 2