2797results about How to "Adjust in time" patented technology

A device management system that is capable of scheduling connected devices and personnel for tasks, monitoring the ability of the devices to perform the scheduled task by checking in with the devices based on their uses and locations, and to modify the functioning of the devices according to the tasks scheduled for the devices and their uses. Additionally, the system can incorporate uncommunicated “dumb” devices into the scheduling of tasks and track and manage those devices.

A method of configuring downlink timings and transmitting a random access response message is provided for a random access procedure in a Long Term Evolution (LTE) system supporting carrier aggregation. The method for adjusting timing of a terminal in a wireless communication system supporting carrier aggregation of at least one carrier includes transmitting a Random Access Preamble to a base station, and receiving a Random Access Response with a Timing Advance Command (TAC) for commanding uplink timing adjustment from the base station, wherein the Random Access Response comprises information indicating a Timing Advance Group (TAG) to which the TAC is applied.

A system for automated administration of network-based contests includes one or more processors and memory coupled to the processors, where the memory stores program instructions executable by the processors to implement a contest manager. The contest manager is configured to receive a plurality of contest entries over a network such as the Internet for a contest, and to administer the contest in an automated manner in accordance with one or more contest specifications also received over the network.

A method for adjusting the modulating frequency and the intensity of the IR illumination of a Time of Flight measurement system proportionally to the speed of movement and the ambient light level of the TOF system, thus adjusting the range of vision of the system dependent on speed. In an alternate embodiment the modulating frequency of a TOF measurement system is periodically adjusted to cover a larger range of vision of the TOF.

The invention relates to a patent literature similarity measurement method based on ontology, and relates to the technical field of natural language information processing for the ontology. The method comprises the following steps: extracting a core technical scheme according to the structural features, the position features and the keyword features of patent literatures; constructing a model for the relation between thematic terms of patent classes; constructing a field dictionary according to the model for the relation between the thematic terms of the patent classes and segmenting terms and removing stop terms for the core technical scheme; extracting keywords and weight by combining the relation between the thematic terms to TF-IDF as TextRank term initial weight; training a FastText model, and generating a term vector; and calculating an EMD distance to obtain a semantic distance according to keywords, term weight and term vector. Compared with the prior art, the patent literature similarity measurement method based on the ontology solves the problem that the similarity is low due to the fact that the structural features, the field features, the term relation features and the semantics approximate expression of the patent literature are not fully considered.

For an optical disk for which a record strategy is not prepared in a memory and an optical disk which cannot obtain a good signal quality by using the record strategy prepared in the memory, test recording is performed by using all record strategies prepared in the memory or properly adopted record strategies by changing the record power. A record strategy providing a relatively high signal quality is selected to record data in the optical disk. The record strategies for such optical disks can be easily set.

The invention provides a sanitation vehicle operation condition intelligent monitoring system. The sanitation vehicle operation condition intelligent monitoring system includes a basic information management module, a real-time monitoring module, an operation trajectory tracking module, an operation rule management module, a vehicle fuel consumption monitoring module, an illegal operation early warning module, a vehicle-mounted video monitoring module, a vehicle scheduling monitoring module and a database. With the sanitation vehicle operation condition intelligent monitoring system adopted, monitoring on the real-time positions, running tracks and fuel consumption of sanitation vehicles can be realized, scheduling and illegal operation early warning of the sanitation vehicles can be also realized, and the vehicles can be prompted to adjust to standard operating states timely.

An electro-tactile display comprises at least one current source, arrayed electrodes, and a switching circuit for connecting each electrode to the current source or to ground. The electro-tactile display is characterized by selecting one or a plurality of electrodes from the arrayed electrodes and connecting the selected electrodes to the current source to provide current source electrodes, alternately connecting neighboring electrodes in the vicinity of said current source electrodes to the current source and to ground, connecting a plurality of remaining electrodes other than the neighboring electrodes to ground to provide ground electrodes, and providing electrical stimulation from the current source electrodes wherein the current source electrodes are spaced apart from the ground electrodes via the neighboring electrodes. Tactile sensations are presented by switching over the current source electrodes at a predetermined time interval.

A ship intelligent energy efficiency management system includes a basic function module and an advanced function module. The basic function module is used for monitoring and evaluation on energy consumption and energy efficiency; through automatic collection and online monitoring of ship navigational status and energy consumption condition data, by applying data correlation analysis and a data model algorithm, analysis, evaluation and predication are performed on ship energy consumption, energy efficiency and discharge, so that data evaluation and analysis results and assisting decision suggestions are provided for ship operation managers and intelligent energy efficiency management basic functions of ship energy efficiency real time monitoring, intelligent evaluation and optimization andcomprehensive report generation are implemented. The advanced function module is used for navigational speed optimization and establishing of a ship energy efficiency analysis model and a navigationalspeed optimization analysis model, so that the navigational speed optimization function based on voyage number plan and economic benefit is implemented. Real time evaluation is performed based on data collected in real time. Ship operation condition is regulated based on energy efficiency improvement on the basis of actual data, so that ship energy efficiency management becomes more scientific and effective.

A display device is disclosed. The display device includes: a pixel array unit and a driving unit which drives the pixel array unit. The pixel array unit includes rows of scanning line, columns of signal lines, pixels in a matrix state arranged at portions where scanning lines and signal lines cross each other and power supply lines arranged corresponding to respective rows of pixels. The driving unit includes a main scanner performing line-sequential scanning to pixels by each row by supplying a control signal to each scanning line sequentially, a power supply scanner supplying a power supply voltage which is switched to a first potential and a second potential to each power supply line so as to correspond to the line-sequential scanning, and a signal selector supplying a signal potential and a reference potential to be video signal to columns of signal lines so as to correspond to the line-sequential scanning.

A power reserve apparatus is disclosed. In one embodiment, the power reserve apparatus comprises a first module including a first set of battery cells and a first inter-cell balance adjustment unit configured to use passive balancing to reduce voltage variance among the first set of battery cells. The power reserve apparatus also comprises a second module including a second set of battery cells and a second inter-cell balance adjustment unit configured to use passive balancing to reduce voltage variance among the second set of battery cells. The power reserve apparatus further comprises an inter-module balance adjustment unit configured to use active balancing to reduce voltage variance among the first and second modules.

A hot melt adhesive composition is based on an isotactic polypropylene random copolymer (RCP). The composition contains about 4%–50% by weight of the RCP copolymer, about 20%–65% by weight of a compatible tackifier, about 0%–40% by weight of a plasticizer, about 0%–3% by weight of a stabilizer, about 0%–40% by weight of a wax, and optionally about 0%–60% by weight of an atactic poly-α-olefin (APAO). The adhesive composition may be used in a number of applications such as, for example, in disposable nonwoven hygienic articles, paper converting, flexible packaging, wood working, carton and case sealing, labeling and other assembly applications.

The present invention relates to a double circular shield construction method passing through building or structure, belonging to the field of building engineering technology. Said construction method includes the following steps: 1, earlier stage preparation for passing through building or structure; 2, adopting protection measure for building or structure; 3, construction monitoring; 4, making double circular shield be passed through building and structure; and 5, adopting secondary grounting measure.

The invention discloses a vehicle security risk warning and accident reconstruction system and method of big data processing. The system comprises a vehicle-mounted video terminal and a cloud big data processing platform, all kinds of parameters, video images, voice information and the like of vehicle operation are analyzed by the big data processing platform in the background to provide effective information for accident authentication, driving behaviors of drivers, vehicle conditions and the like, and provide a novel method for confirmation of responsibility, vehicle improvement, traffic management and the like. The system is a research and development system of a key common technology based on cloud computing, collected videos are encoded in an H.264 manner, stored locally and are circularly covered, and after an abnormal driving behavior is detected, video data within 10-30 seconds before and after the time point are transmitted to a service system for accident analysis and reconstruction. The system solves the vehicle driving security risk problem and provides a vehicle security public service platform.

A second latch latches the output data of a first latch using a third clock having the same frequency as that of a first clock. A third latch latches the output data of the second latch using a second clock having a frequency N (N represents an integer) times that of the first clock and the third clock. The second clock and the third clock have a frequency division / multiplication relation therebetween.

An intelligent traffic management system based on inter-vehicle network comprises a wireless communication module, a calculation module, a control module, a traffic light signal display module, a storage module and a fault detection module; the system is communicated with an inter-vehicle network managing device on a vehicle by the wireless communication module, and calculates traffic flow and vehicle density at an intersection via combining with the algorithm in the calculation module. The technical scheme of the invention can effectively solve the technical problems that the traffic signal control system in the prior art can not obtain the traffic flow and the traffic speed precisely, so as to cause low road passing-through efficiency, and energy sources and time are wasted; the traffic information of the vehicles at intersections can be precisely obtained, so as to adjust the time of the traffic lights in time and improve the road passing-through efficiency; the speeds of special vehicles like fire trucks, ambulance and the like are ensured; the function of automatic fault detection is provided; the time of the traffic lights at intersections is optimized; and the traffic efficiency is improved.

The invention relates to a laser radar coaxial transmitting and receiving system and a coaxial adjustment method thereof and belongs to the technical field of laser radar, and the method can be used for solving the problem that the coaxial adjustment period of a laser radar receiving and transmission light path is long. The laser radar coaxial transmission and receiving system is composed of a laser device, a transmission telescope, a first reflecting mirror, a second reflecting mirror, a receiving telescope, a concave lens, a convex lens, a beam splitter, an optical fiber, a CCD (Charge Coupled Device) camera, a computer and a motor rotation control system. The coaxial adjustment method based on the system comprises the following steps: adjusting the visual field definition of the receiving telescope; when the receiving telescope receives background light, obtaining a standard centroid position acquired by the CCD camera; starting the laser device, calculating the real-time centroid position of an image acquired by the CCD camera in real time, and calculating the deviation between the two centroid positions; and controlling the pitching and bearing of the first reflecting mirror until the deviation reaches an error tolerance, thus realizing the coaxial adjustment. The method provided by the invention is applicable to the coaxial adjustment of a laser radar receiving and transmission system.

The invention relates to a rules-based intelligent system for grid fault diagnosis, comprising a real-time data acquisition module, a data receiver, a preprocessing module, a working database, a knowledge base, an inference engine and a command generator. The real-time data acquisition module acquires real-time data information of a grid and sends it to the data receiver; the data receiver performs reasonableness testing and encoding; the preprocessing module performs formatting and information fusing and sorting and stores the information in the working database; the working database sends a command to the inference engine; the inference engine sends an inference verification request to the knowledge base; the knowledge base acquires data from the working database and performs data matching on the basis of a grid CIM (common information model) according to knowledge rules in the knowledge base built; the inference engine performs inference analysis according to the data in the working database, system state and knowledge in the knowledge base. The system has the advantages that a self-learning function is achieved, checking and error correcting is facilitated and grid fault diagnosis is more efficient.

There is the problem that since C / A signals in a DIMM are distributed to respective DRAMs through a register in the DIMM and DQ signals are wired directly from terminals in the DIMM, their timing is difficult to synchronize. The register for speeding up the C / A signals of the DIMM that operates with high speed is provided, and a wiring from the register is set to a daisy-chain wiring. Then, by a timing adjustment circuit provided in the DRAM, a wiring delay time difference between the C / A signals and the clock signals, which are different depending on positions of the DRAMs, is such that the sum of a delay time from the register to each DRAM and a delay amount due to the timing adjustment circuit is made equal to a delay time of the farthest DRAM.

The invention relates to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method, in particular to a strip steel quality forecasting, furnace condition early-warning and fault diagnosis method based on partial least square, comprising the following steps: model selection: multiple models are adopted to describe the process characteristics of corresponding steel types; data preprocessing: data alignment based on the model is carried out, synchronization relation of process input and quality output is built and data dimensionless treatment is carried out to eliminate effect of process data on modeling precision owning to non-unity of physical units; an off-line model building; a PLS (partial least square) model for strip steel quality and process variable is built by utilizing a great amount of historical data in normal working conditions; determining control limit of an monitor-control index; determining variable quantity control limit; and on-line forecasting and on-line detection and fault diagnosis. In the invention, the model for the strip steel quality and the process variable is built by PLS algorithm, so as to realize real-time quality forecasting, process monitoring and fault diagnosis.

The invention discloses an agricultural management and control system based on an IOT (Internet of Things) cloud platform, and relates to the IOT and agriculture crossing field. The system comprises amobile client, an IOT platform, and a local control terminal. The mobile client is connected with the IOT platform through the Internet or a mobile network, so as to complete the remote control and management of a local network. The IOT platform is connected with the local control terminal through the Internet, so as to complete the local data collection, calculation and optimization. The systemcan monitor the growth environment information of plants in real time, completes the safety data storage, calculation and analysis of mass data, quickly generates optimal data of the growth of plantsthrough the calculation capability of the cloud platform and an optimization algorithm, and sequentially drives execution systems to carry out the agricultural management. Meanwhile, the system carries out the analysis of the collected images of plants from plantation to harvesting through the image recognition technology, judges the production conditions, timely monitors the disease conditions, achieves the timely adjustment of the environment, reduces the loss, improves the yield, and promotes the industrialized and intelligent agricultural production.

The invention provides a control method for an electronic expansion valve. When the outdoor environment temperature(Tho-A)is larger than or equal to 43 DEG C, opening of the electronic expansion valve is determined according to frequency change of a compressor. When the outdoor environment temperature(Tho-A)is smaller than 43 DEG C, the temperature is divided into different sections, and linear calculation curves of different target exhaust superheat degrees are set for each section; after the target exhaust superheat degrees and actual exhaust superheat degrees are obtained, fuzzy control is conducted, and then the opening transformation quantity of the electronic expansion valve is obtained. According to the section control method, fuzzy control is used, and different temperature ranges correspond to the calculation curves of the different exhaust superheat degrees, so that precise and optimal control is achieved. In addition, in combination with feedforward control technology, the reply efficiency of the electronic expansion valve is improved; accordingly, all air conditioner systems running in the different temperature ranges can run smoothly, and vibration is completely avoided. The control method has the advantages of being high in energy efficiency ratio, good in low-temperature heating effect, and the like.

A storage system connected to a host device from which IO commands are sent comprises a plurality of load devices that act as loads including a plurality of storage devices, a current measuring unit that measures a current value flowing into the plurality of load devices, a power calculating unit that calculates at each time a power consumption value consumed by the plurality of load devices based on the measured current value, and a controller that receives an IO command from the host device, and accesses a storage device that follows the IO command out of the plurality of storage devices. The controller carries out power consumption control such that the calculated power consumption value is not more than a predetermined allowed power value and a difference between the power consumption value and the allowed power value is as small as possible.

The invention discloses a service quality monitoring system for an intelligent television terminal. The system mainly comprises a service quality monitoring module, a service quality analysis module and a service monitoring control module, wherein the service quality monitoring module is responsible for indistinguishably capturing all data packets passing through a network port, performing packet dropping, end-to-end time delay calculation and streaming media protocol analysis and performing service quality monitoring to realize calculation and monitoring based on a program stream; the service quality analysis module is used for collecting parameters transmitted from the other modules, analyzing and periodically reporting to a server of a business trader; the weight monitoring control module is responsible for receiving a signal from the control server to adjust a monitoring strategy, for example changing of a report period, a statistical cycle, an ftp (File Transfer Protocol) server address and the like. The system has real-time property and is low in consumption of a CPU (Central Processing Unit) and a memory, and the acquired service quality parameters are much closer to the actual effect of play.

A digital controller configured to inject a signal into a digital feedback path that facilitates regulation of a power converter and measure the corresponding phase, gain, or frequency. The digital controller may also include an adaptive tuning controller for adjusting power converter operating attributes based in part on the measurements. In an exemplary embodiment, the adaptive tuning controller uses the phase, gain, and / or frequency measurements to adjust the digital feedback signal. In an exemplary embodiment, the adaptive tuning controller compares the operating measurements with desired values and generates adjusted operating attributes. In accordance with an exemplary embodiment, the monitoring and adjusting of the digital feedback signal occurs while the digital controller is regulating a power signal in the power converter.

The invention relates to a system and a method for positioning a linear rail car based on laser ranging. The system comprises a laser range finder, a controller programmable logic controller (PLC) and an alternating current contactor for controlling a motor, wherein the controller controls the rail car to start and stop by controlling the alternating current contactor; the laser range finder is arranged on the rail car; the emitted laser is parallel to an advancing rail; a laser reflection plate is supported by an upright post and fixed at one end of the rail; and the controller can accurately judge the current position of the rail car by receiving a digital position signal of the laser range finder, and can control starting and stopping of the motor according to the demanded position when the laser emitted by the laser range finder irradiates the reflection plate and is reflected to the laser range finder. By adopting the positioning method disclosed by the invention, the rail car can accurately achieve the target position, so as to achieve full-automatic positioning of the rail car.

The present invention discloses a method for fast grading underground engineering surrounding rock in real time based on parameters while drilling. According to the method, a on-site drilling test is implemented; uniaxial compressive strength along the drilling depth direction of a tunnel face and a rock mass integrity index are obtained based on parameters while drilling measured in a drilling process; a relational expression of the parameters while drilling, the uniaxial compressive strength and the rock mass integrity index is built; in actual underground engineering, the obtained parameters while drilling are introduced into the above relational expression; and surrounding rock in front of the tunnel face is graded fast in real time according to a surrounding rock basic quality (BQ) index grading calculation formula. With the method for fast grading the underground engineering surrounding rock in real time based on the parameters while drilling provided by the invention, it only need to utilize a drilling machine in an engineering field to carry out a drilling test on the surrounding rock, and coring and an laboratory testing are not required, and the surrounding rock can be graded fast in real time, and grading efficiency is high; and the grade of the surrounding rock can be determined just based on the drilling parameters, and various kinds of testing modes in a traditional grading method are not required. The method of the invention has the advantages of simplicity and operational easiness.