168 results about "Algorithm configuration" patented technology

A method of operating a compactor machine includes moving the compacting machine within a work area and determining a compaction response disconformity exists between at least two regions of the work area. The method includes generating a compactor navigation signal responsive to the compaction response disconformity. A method of compacting a work area may include determining a work material compaction response associated with at least one region of the work area is aberrant, and maneuvering the compactor machine within the work area responsive to a signal associated with the aberrant compaction response. A system for compacting a work area includes a compactor machine and an electronic controller configured via a compactor maneuvering control algorithm to detect an aberrant work material compaction response in a region of the work area and responsively generate a compactor navigation signal.

An ad-hoc Adaptive Wireless Mobile Sound System, comprises a) a Master device, capable of sending a message/query to one or more mobile phone nodes, to verify whether they hold in their memory a specific song/track and to learn their music playing capabilities; b) transmission means provided in the Master, to convey to the mobile nodes that do not have a specific file in their memory, if any, a compressed audio stream of the said file; c) software suitable to convey, in a streaming fashion, the compressed audio file over wireless connectivity; d) software provided in the Master receives to select, based on an answer to said query, an appropriate surround scheme/algorithm configuration that takes into account the mobile nodes capabilities; e) communication means provided in the Master to publish the surround scheme/algorithm configuration in which a playing role/channel allocated to each of the mobile nodes; and f) means provided in the Master to synchronize the mobile nodes and to order them to play a stream audio file according to the surround scheme.

A big data analysis platform apparatus and method based on algorithm configuration and distributed stream computing platform. The apparatus includes a data source acquisition device, a data integration unit, a time-series data storage, a computing unit, a wireless terminal and data service terminal, which are sequentially connected. The device can quickly, efficiently and timely process vast amounts of real-time data, and ensure high computational efficiency, flexibility and strong scalability, an ensuring secure, stable and efficient operation of the device.

The invention discloses a method for achieving a management system for evaluating software test quality and development capacity, and relates to the field of software test management. The management system is composed of a data acquisition system, an algorithm management system, a budget management system and a report management system. According to acquisition of a software test plan and test data, a specific algorithm is used for evaluating the quality and the budget of software testing links. A data acquisition link, an algorithm configuration link, a budget configuration link and a report generation link are mutually independent. Different algorithms and budget managements can be configured according to different software test projects, the method for achieving the management system for evaluating the software test quality and the development capacity can be matched with all test tools in the prior art for use, a tool for continuously improving application software development and the test quality is offered to software industrialized manufacturing enterprises and fields, and the method for achieving the management system for evaluating the software test quality and the development capacity has the advantages of being safe, reliable, rapid in popularization and easy and convenient to maintain.

The invention provides a wireless Mesh network low time delay optimization method based on dynamic time slot distribution. Through changes of a broadcast sequence of nodes in a control frame in an Mac algorithm configuration design, the nodes can timely update time slot demands of the nodes themselves according to path information of data flows, so that forwarding nodes can obtain corresponding time slots when the time slots are distributed. In a time slot competition stage, the path information is added to relevant data by adjusting a time slot application sequence in a network, so time slot demands of network nodes in the time slot competition stage are updated in real time, and the time slot distribution real-time performance for the data flows is improved. Through timely updating of changes of network topology information during a broadcasting period, the nodes can timely sense and update network topology changes. Through processing of key topological data, the cost of a control protocol is reduced, and the data transmission efficiency of the entire network is improved.

The invention aims to disclose a dynamic reconfiguration technology-based universal image processing platform and an implementation method thereof. By the dynamic reconfiguration technology, a reconfigurable module is provided. On the one hand, as the reconfigurable module can perform corresponding algorithm configuration on a system according to different computation tasks, the reconfigurable module has high universality and flexibility; and on the other hand, when reconfiguration is performed, a non-reconfigurable part still runs, the contents of a related register cannot be lost, and the contents of the register does not need to be stored in a memory outside a field programmable gate array (FPGA) when the reconfiguration is performed, so that the expense of system reconfiguration is reduced, the operational efficiency of the system is improved, the system has high universality, and the aim of the invention is fulfilled.

The invention belongs to the technical field of DCS graphical algorithm configuration, In order to solve the technical problem of low system performance in the technical scheme of off-line simulationby calling GDB/MI interface, the invention provides an off-line simulation method and device of DCS graphical algorithm configuration, which realizes data access and algorithm control off-line simulation function through self-encapsulating simulation tool plug-in. The off-line simulation method comprises the following steps: (1) compiling a graphics algorithm corresponding to the graphics algorithm configuration into an algorithm program and an algorithm offset program; 2, load that algorithm program and the algorithm offset program into the memory by using an offline simulation plug-in, and realize simulation control and variable data operation by using the algorithm program and the algorithm offset program.

The embodiment of the invention discloses a method and a device for determining an input-output scheduling algorithm. The method comprises the following steps: determining a characteristic model of an input-output (IO) request, selecting the IO scheduling algorithm according to the characteristic model; configuring relevant parameters for the selected IO scheduling algorithm according to the obtained hard disk parameters in advance; synchronizing the parameter information and characteristic model information to a hard disk firmware (FW), so that the hard disk FW selects a corresponding IO scheduling algorithm according to the characteristic model information; and configuring the corresponding IO scheduling algorithm according to the parameter information. According to the embodiment of the invention, the IO scheduling algorithm can be correlated with the concrete characteristic of the IO request, when the IO request has diversity under various application scenes of the hard disk in the actual application, the corresponding scheduling algorithm is selected according to different IO requests, thus executing the IO scheduling algorithm under various application scenes to achieve the purpose of promoting IO performance.

A method, system and apparatus for medication therapy management programs. One embodiment of the invention includes a comprehensive, technology-enhanced pharmacy system for patients following a complex medication to regimen comprising a treatment database, communications interface, and a personal medication cartridge configured to store medication and configured based on a treatment optimization algorithm. Another embodiment of the invention includes a medication administration apparatus comprising computer processing hardware, a user interface, an interface for receiving a personal medication cartridge including medication dose packets labeled with computer-readable identification or an RFID mechanism, a medication ejection mechanism, and a medication dispensing sensor. The medication administration apparatus utilizes medication dose packets and prescription information and identifies individual dose packets using computer-readable information or an RFID mechanism. The medication administration apparatus determines the location and prescription schedule for each dose packet within the medication administration apparatus and provides an indication when a dosing event is scheduled.

The invention discloses a five-level queue scheduling device and method for implementing hierarchical QoS (quality of service). The device comprises a flow classification module, an enqueue level scheduling module, a shared cache module, a business flow level scheduling module, a user level scheduling module, a sub-network level scheduling module, an output port level scheduling module, a scheduling algorithm configuration module, a flow control module and a CPU (central processing unit) interface module. The method includes the steps: performing flow classification on data packets and judgingwhether the data packets can enqueue or not by calculating the enqueue threshold of a queue; configuring all level scheduling algorithms by the scheduling algorithm configuration module according tothe weight attribute of the queue to be scheduled, and jointly finishing the dequeuing scheduling process of the data packets by a flow control algorithm. The proper scheduling algorithms and the flowcontrol algorithm are selected, and bandwidths can be more flexibly distributed by the aid of the five-level queue scheduling device.

The invention discloses a method and a system for configuring algorithms for video analysis equipment. The method includes enabling a configuration client to acquire video analysis application information of the to-be-configured video analysis equipment and transmitting the video analysis application information to a configuration server; enabling the configuration server to acquire the optimal algorithm configuration sets matched with the video analysis application information from preliminarily generated algorithm resource pools and transmitting the optimal algorithm configuration sets to the configuration client; enabling the configuration client to configure the algorithms for the video analysis equipment according to the optimal algorithm configuration sets. According to the scheme, the method and the system have the advantage that the work performance of the video analysis equipment can be improved by the aid of the method and the system.

The invention discloses a construction site monitoring system, and the system comprises a camera adding module which is used for building the data connection with a camera, and obtaining the video data of the camera; an algorithm configuration module which is used for configuring a corresponding image recognition algorithm for each camera, and setting a recognition area and running time of each image recognition algorithm for video data of the camera; an algorithm analysis module which is used for analyzing the video data of the camera by utilizing an image recognition algorithm correspondingto the camera and outputting a recognition result of each image recognition algorithm. According to the invention, the camera and the algorithm corresponding to the camera can be freely added and added, the camera to be acquired can be quickly and conveniently selected and the monitoring area can be changed according to the actual application requirement, and meanwhile, the algorithm to be operated can be set according to the requirement, the monitoring key point can be set, the management is convenient, and the monitoring efficiency is improved.

The invention provides a SDN-based protocol port protection method, apparatus and system, wherein the method comprises the following steps: a controller pre-sets a SDN-based protocol port protection algorithm configuration task sequence, wherein the task sequence comprises a static protocol port policy table; receiving a message of unmatched flow table reported by a switch , acquiring the source IP address, the destination IP address and the message type of the message, and matching a static protocol port policy table; if there is a matched table item, acquiring network topology structure and determining a forwarding path according to the source IP address, the destination IP address, and the network topology structure, and adding the forwarding path to the flow table to be issued to the switch so that the switch forwards the message according to the forwarding path. The SDN-based protocol port protection method, apparatus and system are based on a SDN, all configuration is concentrated in the controller, and the configuration is convenient and simple.

The invention discloses a big data system for clinical scientific research. The system comprises a terminal subsystem and a server. The terminal subsystem comprises a hospital database interface and aclient. The client comprises a data input module. The data input module is used for inputting the medical data into the system in a manual input manner. The terminal subsystem is connected with the server. The server comprises a data preprocessing module, a distributed storage module and a distributed operation module. The data preprocessing module is used for cleaning, integrating and convertingthe medical data acquired from the hospital database interface and the client. The distributed storage module is used for storing the cleaned, integrated and converted medical data and the distributed operation module is used for carrying out corresponding statistical analysis on the medical data according to the received algorithm configuration command from the client. The big data system for clinical scientific research provided by the invention has the characteristics of simple medical data processing process and high efficiency.

The invention provides a configuration software collaborative management system and method, which is convenient for multi-user to configure at the same time and can greatly improve the work efficiency, in order to solve the technical problem that the needs of collaborative processing in the process of software configuration editing for multi-user can not be met in the prior art. The configuration software collaborative management system comprises engineer stations and a server; each engineer station is equipped with at least one configuration module of a variable configuration module, an algorithm configuration module, a picture configuration module and a device configuration module; and the server is used to save the program files corresponding to each configuration module in the engineer stations. When an engineer station calls a configuration module from the server, the configuration module is identified; when the other engineer stations call the identified configuration module, the configuration modules submitted by different engineer stations are compared; and the actions that different engineer stations call the configuration module is performed conflict process so that different engineer stations can collaboratively process all the configuration modules in the server simultaneously.

The invention provides an abnormal state monitoring method for an industrial control system. The method comprises the following steps: monitoring and extracting state information of related parts by utilizing state acquisition modules distributed in the related parts of the industrial control system; transferring the abnormal state information in the collected state information to a calculation engine module through a state communication module; compiling an abnormal state analysis algorithm through an abnormal state analysis algorithm configuration module according to the need of abnormal state analysis; carrying out periodic calculation on the abnormal state analysis algorithm through a calculation engine module, and feeding back the analysis result of the algorithm to a human-computer interface configuration module and a data centre management module in real time; carrying out system structure and abnormal event configuration through a system structure configuration module according to the need of the abnormal state analysis to generate an abnormal event library; and obtaining real-time state data and abnormal state analysis result data carried out by the human-computer interface configuration module through the calculation engine module, and displaying the data on an interface, thereby improving monitoring capability of the industrial control system for the abnormal event.

A device having a controller configured to execute a range crawler algorithm residing in firmware or hardware and a data table containing one or more range entries (RE's), where each of the RE's is part of a logical block address (LBA) span associated with a command instruction, and where each LBA span has one or more LBA ranges, and where each LBA range is made of one or more sequential LBA's. The device also includes a collision bitmap configured to store data associated with RE collisions between one or more LBA's and a command dispatcher configured to release selected LBA ranges that are not associated with a RE collision. The range crawler algorithm is configured to search the data table to detect collisions between the RE's.

The invention provides a software-defined Internet of Things network topology data transmission security management method and system, and the method comprises the steps: deploying common nodes and aggregation nodes at Internet of Things network nodes, and enabling the nodes to communicate with each other; performing encryption algorithm configuration on common nodes and aggregation nodes; each adjacent node performing bidirectional identity authentication and key agreement, and each node recording credible nodes passing authentication around itself and suspicious nodes failing to be authenticated; periodically executing topology discovery, collecting topology information of common nodes by the aggregation nodes, forwarding messages of trusted nodes among the aggregation nodes, establishing a trusted path, and constructing a global topology view; sequentially forwarding and aggregating the topology state messages according to the determined trusted path; and determining newly added nodes and malicious nodes based on the global topology view, broadcasting, and updating the network topology structure of the Internet of Things. According to the invention, the security and reliabilityof data transmission can be effectively improved.

The invention discloses an online state maintenance intelligent decision analysis device used for a relay protection device, and a signal processing method and an application thereof, and belongs to the field of application of the information technology of power systems. The online state maintenance intelligent decision analysis device used for the relay protection device comprises a data acquisition unit, a data adapter, a storage unit, a state evaluation unit, a warming detection unit, a maintenance decision-making unit, a guide unit, a guide configuration interface unit, a controlling unit, a universal algorithm module, an arithmetic configuration interface unit and a WEB page presentation unit. After the attribute information of the quantity of state of the relay protection device is collected in real time, the maintenance decision analysis and the warning detection to various protection devices in the power network can be realized through the universal state evaluation algorithm model in the independent module.

The invention provides a metadata model based function block diagram online debugging method. The method includes a) packaging typical real time data point and related essential properties thereof inan industrial control process into a metadata model having a uniform structure; b) based on the metadata model, defining and realizing different kinds of function blocks; c) introducing primitive information elements of the different function blocks on the basis of control command sets and metadata sets; d) generating an algorithm configuration file based on the above configuration file structureby configuration software and implementing an online monitoring function in online debugging through downloading and running the algorithm configuration file in an industrial controller and reading the metadata sets in the algorithm configuration file periodically; e) implementing an online value setting function through modifying the metadata sets by the configuration software. By adopting the method provided by the invention, communication efficiency is improved, safety of real time control data is improved and great convenience is provided for online real time debugging of control strategies.

The invention relates to a software radio data transmission system and transmission method based on an LTE signal. Channels are divided into three different physical channels: the synchronization channel, the control channel and the data channel; the system comprises two parts: a transmitter and a receiver; each of the transmitter and the receiver is composed of three parts: an analog radio frequency circuit, a digital baseband circuit, and a digital control circuit; the transmitter is responsible for the data transmission and the receiver is responsible for the data receiving; the transmitterand the receiver can flexibly configure the encoding/decoding schemes, parameter configuration schemes, the channel estimation and detection algorithm configuration schemes and like. The invention designs a hybrid access protocol HE-TDMA with hybrid pre-distribution and random access features at the same time. Through the method and system provided by the invention, a communication system constructed based on the LTE signal can be flexibly configured and used, and the application scene is enhanced at the same time.

The invention provides an element model based customized function block and configuration packaging method. The method includes steps of a), defining an inheritable function block element model and designing a standard instantiation interface and a uniform data structure; b) instantiating algorithm type function blocks which are universal in industrial control field; c) defining a configuration file structure; d) based on a control strategy of the inheritable function block element model, packaging into a customized function block; e) storing the customized block information into an originalconfiguration file. According to the invention, from the perspective of function block modeling, thought of an object-oriented method is absorbed, typical features and key data information of the algorithm function block are extracted and the inheritable function block element model is established. On this basis, numerous basic algorithm function blocks of an arithmetic type, a logic type, a control type, a time type and the like are instantiated and algorithm configuration and debugging demands in industrial process control can be met.

The invention relates to a general PHM (prognostic and health management) application configuration method and system. The general PHM application configuration method includes receiving a signal transmitted from a to-be-tested hardware device; receiving a signal analyzing configuration command, and subjecting the signal to at least one signal analyzing configuration according to the signal analysis configuration command; receiving a characteristic extracting configuration command, and subjecting the signal to at least one characteristic extracting configuration according to the characteristic extracting configuration; receiving a target business configuration command, and carrying out at least one target business configuration correspondingly according to the target business configuration; receiving an algorithm configuration command, configuring corresponding algorithms for signal analysis, characteristic extraction and corresponding target business according to the algorithm configuration command; according to the algorithms configured to different combinations correspondingly, acquiring target diagnosis results. By a series of configuration commands, the PHM system application is built rapidly. By configuration of at least one signal analysis, characteristic extraction and target business, rapid contrastive analysis on effects of multiple architectures and algorithms of the PHM application to specific objects is promoted, and PHM application configuration efficiency is high.