International Business Machines Corporation

Other

General Electric Company

Ge Medical Systems Global Technology Company, LLC

Zhuo Liu

Liang Liu

Wei Zhuang

Junmei Qu

Jun Mei Qu

Xiaoyan Zhang

Hailiang Liu

Hong Zhou Sha

Wen Jun Yin

Lei Zhang

Jin Dong

Jun Guo

Ashutosh Joshi

Xueli Wang

Long Wen Lan

Xuyong Yang

Wei Hua

Wen Wu Na

Zhou Li

Tianzhen Wang

Yiran Hu

Chao Geng

Jingang Han

Han Ouyang

Jia Xiang Li

Long Sheng Bai

An intracardiac energy harvesting device includes a shell; a fixing mechanism arranged on the shell, and a fixing mechanism configured to fix the shell to an interior of a heart chamber to enable the shell to move along with beating of heart; wherein a nanogenerator module is packaged in the shell, which is configured to output electric energy in response to movement of the shell along with the heart beat; and a power management module is packaged in the shell for managing electric energy output by the nanogenerator module. According to the intracardiac energy collecting device disclosed by the present invention, the biological mechanical energy generated by heart beating can be collected in the heart through a minimally invasive interventional operation mode, surgical wounds are small, damage to the heart cannot be caused, and infection can be effectively avoided.

Intracardiac energy harvesting device and implantable electronic medical device

This disclosure provides a computer-implemented method. The method may comprise estimating a value range of a water body parameter based on measured data for a water quality indicator of a first set of time-spatial points and measured data for the water quality indicator of a second set of time-spatial points; and determining an optimal value of the water body parameter from the estimated value range by comparing the measured data for the water quality indicator of the second set and simulated data for the water quality indicator of the second set, wherein the simulated data for the water quality indicator of the second set is obtained based on a fluid dynamic model using the measured data for the water quality indicator of the first set as an input of the fluid dynamic model and using a value in the estimated value range as a parameter of the fluid dynamic model.

Water quality prediction

Embodiments of the present disclosure relate to a method for I/O data transmission in a Hyper-Converged Storage System (HCSS). The HCSS comprises at least one storage node having at least one device constructed with virtualization technology and a storage I/O processing module for accessing persistent storage resource of the HCSS. According to the method, an I/O request of a first type is received from the device by a System Disk front-end driver (SFD), wherein the I/O request of the first type is an I/O request to a system disk of the device. The I/O request of the first type and its corresponding response of a first type are transferred by the SFD between the device and the storage I/O processing module via a first shared memory, wherein the first shared memory is created by allocating a first memory region of the HCSS as the first shared memory.

I/O data transmission in a hyper-converged storage system

A method for determining a source of pollutant emissions for a selected area includes: mapping a grid onto a representation of the selected area; collecting monitoring data for the selected data; from the monitoring data, assigning air pollution values and weather values to each cell in the grid using an interpolation method to estimate values for gap cells; re-sizing the grid to mitigate the influence of atmospheric turbulence on the air pollution values; and using weather factor separation to minimize the influence of weather from the air pollution values, resulting in air pollution values that reflect the net pollutant emissions for the selected area.

Determining the net emissions of air pollutants

The present invention discloses a voltage reference reconfiguration fault-tolerant control method for a cascaded multi-level inverter. The fault-tolerant method for the inverter automatically reconfigures the three-phase voltage amplitudes and phases of the three-phase total voltage in accordance with the fault diagnosis, thus realizing three-phase voltage balance. On the basis of the reconfiguration of the total voltage signal, re-reconfiguration of reference voltage inputted into the various H-bridges is conducted in accordance with the fault signal vectors, thereby realizing removal of the fault bridges and fault-tolerance of the normal bridges, while guaranteeing the integral sinusoidal characteristics of the actual reference voltage. The inverter realized maximum three-phase balanced line voltage in a fault occurrence, has the advantages of requiring no redundant modules and algorithms and the advantages of ease of removing fault bridges, and is applicable for reduced load operable electrical equipment.

Voltage reference reconfiguration fault-tolerant control method for multi-level inverter

This disclosure provides a computer-implemented method for data storage in a non-relational database. The method comprises receiving a data item to be inserted into a table in the non-relational database. The method further comprises determining a dynamic data section and a static data section of the received data item. The method further comprises in response to the static data section not existing in the static data storage area, storing the static data section in the static data storage area. The method further comprises storing the dynamic data section in the dynamic data storage area.

Data storage with improved efficiency

Technical solutions are described for optimizing operation of a server cluster. An example method includes receiving a job request that executes using a set of data blocks, the job request being associated with an expected completion time. The cluster server is used to identify a set of replica servers, wherein each server from the set of replica servers contains the set of data blocks. In response to each server from the set of replica servers estimating a completion time for the job request that is more than the expected completion time, a new server is initiated, the set of data blocks is relocated from a first server from the set of replica servers to the new server, and the job request is allocated to the new server.

Data and task reallocation in distributed computing platforms

A data acquired system is provided. The data acquired system includes a main structure with a cavity formed therein, the cavity having a bottom for mounting a circuit board with electrical components thereto, a fan assembly disposed on the main structure, and an airflow guide disposed within the cavity and configured to guide airflow from the fan assembly for heat dissipation of the electrical components, the airflow guide positioned at a distance above the electrical components to form a gap between the airflow guide and the electrical components, wherein a sidewall of the cavity is provided with an air vent corresponding to the gap such that the airflow passes through the gap and is discharged from the air vent.

Data acquired system and CT apparatus using the same

A self adjusting bearing for use on a CT gantry is provided. The self adjusting bearing is configured to be mounted on a main frame of the CT gantry and is configured to support a rotating base of the CT gantry wherein the self adjusting bearing includes a roller, a first component, and a second component, the roller is configured to support the rotating base and is rotatably mounted on the first component, the second component is configured to be mounted on the main frame, and the first component and the second component are configured to rotatably engage each other such that they can rotate relative to each other during the mounting of the self adjusting bearing.

Self adjusting bearing used on CT gantry

Growing community of inventors

Beijing, China

Zhuo Liu