63 results about "Self scheduling" patented technology

A method and an apparatus for transmitting uplink / downlink data on Time Division Duplexing (TDD) carriers are provided. The method includes transmitting to a base station in a Primary Cell (PCell) and a Secondary Cell (SCell), a TDD Uplink-Downlink (UL-DL) configuration of the PCell having a DL subframe super-set or UL subset that are common in the SCell and the PCell and a TDD UL-DL configuration differing from each other, receiving data at a first subframe in the SCell, and transmitting, when a UL subframe set of the SCell is a subset of a UL subframe of the PCell, a feedback corresponding to the data at a subframe predefined in association with the first subframe in the PCell according to the TDD UL-DL configuration of the SCell. The method supports both the self-scheduling and cross-carrier scheduling of the UE using carriers of different TDD configurations.

A system to allow self-scheduling of appointments via an electronic network. The electronic network is configured to permit secure access thereto by a service recipient. The system comprises a self-scheduling server coupled to the electronic network for secure communications therewith. The self-scheduling server is adapted to receive appointment scheduling requests from the service recipient securely via the electronic network The self-scheduling server includes a processor which is coupled to a rule base, to a scheduling database, and receives the appointment scheduling requests. The processor is operable upon the appointment scheduling requests to authorize the appointment scheduling request to send appointment schedule information to the scheduling database for inclusion therein and to send an appointment acknowledgment to the service recipient securely via the electronic network.

Disparate robotic devices can be automatically recharged and reprogrammed by self-scheduling individual time slots for the available recharging area(s) of a charging station. These charging stations provide a nest to which each robot must return periodically for power. These nests can also provide new tasking or patches for the robotic devices. The charging station and the robotic devices are both provided with communications capabilities and a protocol by which they can negotiate to find a time slot in which the device can be recharged, as well as determining a correct connector and a battery type.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

The invention provides a task-triggered public bicycle self-scheduling method and system based on Internet of Things. The system mainly comprises a public bicycle control center, a smart phone, an APP (Application) program and a public bicycle scheduling center. An IC (Integrated Circuit) Card of a public bicycle is bound with a phone number of a user; the public bicycle control center acquires lease, storage and fault information of a public bicycle lease point in real time, inputs the information to a database, and synchronizes the information to the public bicycle scheduling center in real time; an APP client is connected to the public bicycle scheduling center through a mobile network, and downloads and periodically updates the information of the public bicycle lease point; the busy degree of each lease point is determined according to historical public bicycle lease records; the public bicycle scheduling center respectively calculates the distance between a busy lease point and a spare lease point, and starts a bicycle scheduling task; and the user opens the APP client, reads surrounding scheduling tasks, confirms and accepts an appropriate scheduling task, and rides a bicycle to a destination lease point, thus completing the scheduling task.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

Representative apparatus, method, and system embodiments are disclosed for configurable computing. A representative system includes an interconnection network; a processor; and a plurality of configurable circuit clusters. Each configurable circuit cluster includes a plurality of configurable circuits arranged in an array; a synchronous network coupled to each configurable circuit of the array; and an asynchronous packet network coupled to each configurable circuit of the array. A representative configurable circuit includes a configurable computation circuit and a configuration memory having a first, instruction memory storing a plurality of data path configuration instructions to configure a data path of the configurable computation circuit; and a second, instruction and instruction index memory storing a plurality of spoke instructions and data path configuration instruction indices for selection of a master synchronous input, a current data path configuration instruction, and a next data path configuration instruction for a next configurable computation circuit.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

A control signalling method for use in advanced communication networks is proposed. The method provides for self-scheduling carrier aggregation, cross-carrier scheduling carrier aggregation, and hybrid-scheduling carrier aggregation for downlink data transmission on up to 32 concurrent downlink component carriers where the UE feedback on downlink data is transmitted on a single uplink component carrier.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

The present invention relates to an apparatus and method for controlling an uplink (UL) scheduling and Hybrid Automatic Repeat reQuest (HARQ) timing supported in a TDD-FDD CA environment. The method includes receiving, on a first serving cell, at least one of a first UL grant and a first Physical HARQ Indicator Channel (PHICH) about a second serving cell through a cross-carrier scheduling, and receiving, on the second serving cell, at least one of a second UL grant and a second PHICH about the second serving cell through a self scheduling. According to aspects of the present invention, in a TDD-FDD carrier aggregation deployment environment, an efficient UL scheduling / HARQ operation may be performed for a UE in which a cross-carrier scheduling is configured. Further, in order to satisfy high data rate required by a UE, data transmission efficiency may be enhanced in accordance with the purpose of carrier aggregation.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

Provided are a method and a device for determining downlink control information. The method comprises: determining a first number of SCells or a second number of SCells scheduled across carriers; determining a third number of DCI size budget of self-scheduling of a scheduling service cell, wherein the scheduling service cell is a cell bearing DCI of cross-carrier scheduling of a scheduled cell andDCI of self-scheduling of the cell; determining a fourth number of increased DCI size budget of the scheduling service cell according to the first number or the second number; and determining the DCIsize budget of the scheduling service cell according to the third number and the fourth number. In the method of the present invention, a DCI size budget can be determined in a CA scenario, so that aUE can obtain a corresponding DCI size, and blind detection is performed on a self-scheduled DCI format and a cross-carrier scheduled DCI format in a scheduling serving cell.

The invention provides a cascading gain self-scheduling PID (Proportion Integration Differentiation) controller. Through newly arranging a detection setting loop, an inner loop control mode diverter switch and an outer loop control mode diverter switch and by virtue of an appropriate module lap joint, the electrical feedback control of a generalized cascade loop is realized, the critical oscillation information of the process is measured, a controlled system mathematical model is not needed to be established, and the P, I and D parameters of the cascaded inner and outer loops can be automatically set according to requirements during closed-loop control; each PID gain self-scheduling controller of the inner and outer loops automatically regulates the P, I and D parameters according to multiple groups of input P,I and D parameters and actually measured operation condition signals, the transition time of a control system is shortened to the greatest extent, the dynamic deviation and the static deviation are reduced, and the system has better Robust; and through utilizing the controller to control a nonlinear controlled system, the system can obtain ideal dynamic and static control quality in the whole operational working range.

An invention regarding traffic flow management “Fast Lane On Warning” (FLOW) is disclosed whereby individual vehicles are informed and told what speed to go in order to pass through a traffic signal while the light is green. A FLOW (“fast lane on warning”) director sequencer works in conjunction with a traffic signal sequencer (commonly known in the art), both of which have the same service cycle period Pi. The (RGY) type phases and FLOW readout phases are set for each unique particular intersection. While the traffic sequencer controls repeating RGY cycles, the flow director sequencer instructs, generates, transmits repeating cycles of changeable readouts on one or more roadside unit (RSU) emplacements positioned up the road from the traffic signal for one or more lanes in one or more directions. These changing speed assignments or readouts, individually perceived by motorists, guide in motorists such that by the time they pass through the intersection, they will do so while the traffic signal is green, regardless of any random pattern of traffic individual motorists may have been in as they approached the emplacements.

Representative apparatus, method, and system embodiments are disclosed for configurable computing. A representative system includes an interconnection network; a processor; and a plurality of configurable circuit clusters. Each configurable circuit cluster includes a plurality of configurable circuits arranged in an array; a synchronous network coupled to each configurable circuit of the array; and an asynchronous packet network coupled to each configurable circuit of the array. A representative configurable circuit includes a configurable computation circuit and a configuration memory having a first, instruction memory storing a plurality of data path configuration instructions to configure a data path of the configurable computation circuit; and a second, instruction and instruction index memory storing a plurality of spoke instructions and data path configuration instruction indices for selection of a master synchronous input, a current data path configuration instruction, and a next data path configuration instruction for a next configurable computation circuit.

The invention provides a live broadcast stream transmission method, device and system, relates to the field of data transmission, and aims at solving the problem that in a remote source server scene,the live broadcast stream pushing and pulling quality and efficiency are both low. The method comprises the steps that when a server in a CDN receives a request for acquiring stream data, a self-scheduling center server acquires at least two source servers associated with the stream data; and the server in the CDN selects one source server from the at least two source servers to establish connection with the selected source server to acquire the stream data. The technical scheme is suitable for data transmission of remote source servers and achieves high-efficiency and high-reliability remotelive broadcast stream transmission.

The invention discloses an intelligent scheduling system of unmanned conveyers in a workshop. The intelligent scheduling system of the unmanned conveyers in the workshop comprises at least two devices, i.e., a central control device and a sub-conveyer self-control device, wherein a wireless communication module is arranged between the central control device and the sub-conveyer self-control device; the central control device and a self-scheduling device of the central control device are controlled by a handheld terminal device, and the central control device comprises a man-machine interaction interface and a central alarming system, and uses a shortest route searching policy of the unmanned conveyers in the workshop; the sub-conveyer self-control device comprises relevant sensors; and the sub-conveyer self-control device comprises related sensors, and real-time fault detection modules and dual-controller communication modules are added into sub-conveyers, so that the real-time route modification and local emergency action control are realized so as to safely avoid moving barriers or pedestrains in the workshop, and prevent the influence of the temporary route modification to the constant work. With the adoption of an additionally arranged voice alarming system, the working security in the workshop is further ensured. Therefore, the intelligent scheduling system has the advantages of high intelligence, good real-time performance, low manufacturing and maintenance cost, and the like.

The invention relates to the technical field of wireless sensors, in particular to a two-stage node scheduling method for a wireless sensor network. A centralizing node scheduling mechanism is combined with a distributing node scheduling mechanism, and the two two-stage node scheduling is performed in each cluster after clustering. The method includes: firstly, clustering the network, electing cluster head nodes, and performing cluster head selection to non-cluster-head nodes; secondly, applying the centralizing node scheduling mechanism to the cluster head nodes on the basis of clustering at a first state, and uniformly scheduling member nodes in the clusters; thirdly, using the distributing node scheduling mechanism at a second stage to perform uniform self-scheduling to each member node according to neighboring node information and self residual energy on the basis of a first-stage scheduling result. By the method, network coverage quality is guaranteed, network energy consumption is reduced, and life cycle of the network is prolonged.

Representative apparatus, method, and system embodiments are disclosed for configurable computing. A representative system includes an interconnection network; a processor; and a plurality of configurable circuit clusters. Each configurable circuit cluster includes a plurality of configurable circuits arranged in an array; a synchronous network coupled to each configurable circuit of the array; and an asynchronous packet network coupled to each configurable circuit of the array. A representative configurable circuit includes a configurable computation circuit and a configuration memory having a first, instruction memory storing a plurality of data path configuration instructions to configure a data path of the configurable computation circuit; and a second, instruction and instruction index memory storing a plurality of spoke instructions and data path configuration instruction indices for selection of a master synchronous input, a current data path configuration instruction, and a next data path configuration instruction for a next configurable computation circuit.

The invention discloses a cluster node and a self-scheduling container cluster system. An execution service module subscribes for container configuration of a first target node through a connection agent module, the connection agent module receives current container configuration sent by the first target node and sends the current container configuration to the execution service module, and the execution service module receives the current container configuration sent by the connection agent module and starts a container according to the current container configuration; and the purpose that one cluster node has multiple functions is achieved, communication between different cluster nodes can be achieved through connection agents, deployment and scheduling of the cluster nodes are achieved, the defect that deployment and scheduling of traditional cluster nodes are difficult is overcome, and the technical problem that containers cannot be well controlled or scheduled through a traditional container cluster deployment method is solved.

The embodiment of the invention discloses a control information transmission method, equipment and a communication system. The method comprises the following steps: determining a first scheduling wayfor performing uplink data scheduling at present for a terminal, wherein the first scheduling way includes self-scheduling or cross-carrier scheduling; monitoring a plurality of parameters in a wireless communication network; dynamically adjusting the first scheduling way according to a monitoring result of the plurality of parameters in the wireless communication network; transmitting control information carrying an adjusted scheduling way to the terminal; and subsequently performing uplink data scheduling for the terminal in the adjusted scheduling way. Through implementation of the controlinformation transmission method, the equipment and the communication system, the system performance can be enhanced.

Representative apparatus, method, and system embodiments are disclosed for configurable computing. A representative system includes an interconnection network; a processor; and a plurality of configurable circuit clusters. Each configurable circuit cluster includes a plurality of configurable circuits arranged in an array; a synchronous network coupled to each configurable circuit of the array; and an asynchronous packet network coupled to each configurable circuit of the array. A representative configurable circuit includes a configurable computation circuit and a configuration memory having a first, instruction memory storing a plurality of data path configuration instructions to configure a data path of the configurable computation circuit; and a second, instruction and instruction index memory storing a plurality of spoke instructions and data path configuration instruction indices for selection of a master synchronous input, a current data path configuration instruction, and a next data path configuration instruction for a next configurable computation circuit.

The invention discloses an intelligent navigation micro-system based on a ROS. The intelligent navigation micro-system based on the ROS is characterized by comprising a CPU control calculation module,a sensor module and a sensor data collecting and preprocessing module; the sensor module comprises a laser radar, a depth camera, a monocular camera, an infrared photoelectric switch, an IMU nine-axis gyroscope, a GPS and an encoder; the laser radar, the depth camera and the monocular camera directly send collected data to the CPU control calculation module through a USB interface; the data of the IMU nine-axis gyroscope, the GPS, the infrared photoelectric switch and the encoder is integrated and pre-processed after being collected by the sensor data collecting and preprocessing module, andthe processed data is sent to the CPU control calculation module through a serial communication interface; the CPU control calculation module carrying the ROS performs comprehensive analysis on the sensor carrying situation of a current navigation micro-system and the current external environment through a self-scheduling algorithm, and automatically matches an appropriate navigation algorithm.

The invention proposes a method of implementing hybrid automatically retransmission feedback in a UE in a carrier aggregation network, wherein, the network comprises a self-scheduling primary cell and a secondary cell, and the method comprises: determining a reference frame configuration based on the frame configuration of the primary cell and the frame configuration of the secondary cell, wherein, the reference frame configuration is the type 5; determining a first quantity of downlink subframes of the secondary cell needing to be fed back in uplink subframes, according to the frame configuration of the secondary cell and downlink subframes, associated with uplink subframes, corresponding to the reference frame configuration; receiving from a base station a parameter about the number of downlink subframes fed back, and calculating a second quantity of downlink subframes needing to be fed back in the uplink subframes, based on the parameter; determining an actual quantity of downlink subframes actually fed back, based on the first quantity and the second quantity; implementing automatically retransmission feedback for downlink frames of the actual quantity in the physical shared channel, adjusted by uplink grants, in the uplink subframes.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

The invention discloses a distributed transcoding system and method and a device thereof. The system comprises a transcoding module, a database and a shared file system, wherein the shared file system is used for receiving and storing a source file transmitted from an external requester side; the database is used for receiving and storing a task data packet transmitted from the external requester side; and the transcoding module is used for obtaining the task data packet from the database, obtaining a corresponding source file from the shared file system according to the task data packet, transcoding the source file, and string the transcoded source file into the shared file system. The distributed transcoding system and method and the device thereof have the advantages that a central task allocation system is removed and self-scheduling is achieved by various transcoding machines, so that the risk of a failure is reduced, the input cost of the machines is reduced and the difficulty of later maintenance is reduced.