1592 results about "Occupancy rate" patented technology

A method and system for predictively controlling environmental conditions of multiple occupancy zones in an occupancy space are provided. Occupancy and environmental conditions of each of the occupancy zones are detected and identified. The detected occupancy is stored in an occupancy database. Patterns of occupancy of each of the occupancy zones are determined using the occupancy database. Future occupancy of the occupancy zones is predicted based on the occupancy patterns of the occupancy zones. The environmental conditions of the occupancy zones are controlled based on the detected occupancy and/or the predicted future occupancy. The environmental conditions of the occupancy zones in the occupancy space are thereby predictively controlled by simultaneously incorporating an occupant's desired settings, existing and historical temperature data within the occupancy space, and weather data. The predicted occupancy can be combined with demand response signal and energy tier rates to make optimal conditioning decisions.

An apparatus for controlling traffic congestion includes: a transmitting processor including a packet classifying unit adapted to classify packets to be processed in a receiving processor and packets to be forwarded via the transmitting processor, the transmitting processor and the receiving processor having different traffic processing speeds; a buffer adapted to store the packets to be forwarded from the packet classifying unit to the receiving processor; and the receiving processor including a token driver adapted to output the packets stored in the buffer in accordance with a token bucket algorithm in response to an interrupt signal of the transmitting processor and to transmit the packets to a corresponding application, and a monitoring unit adapted to analyze and monitor a resource occupancy rate and a traffic characteristic used by the token driver to set an amount of tokens.

A method for detecting occupancy status of a plurality of conference rooms in real time is provided. The method enables, firstly, monitoring a first output signal of a first sensor. Secondly, the method enables monitoring a second output signal of a second sensor. The method further enables comparing the first and second output signals with one or more predetermined thresholds within a predetermined time. Furthermore, the method enables correlating the comparison results to identify any uncertainty in detecting the occupancy. Furthermore, the method enables processing output from one or more image and/or video sensors based on the correlation to obtain occupancy status information when there is uncertainty in detecting occupancy. Finally, the method enables displaying the occupancy status information on one or more user devices.

The invention provides a video special effects rendering method, device and terminal. The video special effects rendering method comprises the following steps: decoding a obtained video source in response to a user instruction to obtain a first video frame data in a particular format; sending the first video frame data and the preset special effects parameters to the GPU, so that the GPU completes the rendering of the first video frame data; and obtaining a second video frame data from the GPU and encoding to obtain a target special effects video, wherein the second video frame data is obtained by rendering the first video frame data by the GPU. According to the video special effects rendering method, the processing ability of the GPU for graphics is effectively utilized, the parallel computing capabilities of the GPU is utilized to speed up the rendering of video effects, and the duration of video rendering is shortened, so that the preview of the video rendering frames is high, the playback of the frames is smooth, and the occupancy rate of the CPU when rendering is reduced, therefore, the heating temperature of the mobile terminal is reduced.

The invention discloses a method and a system of adjusting resources of a virtual machine. The method comprises the following steps of obtaining service condition information of the resources of the virtual machine; judging whether the resources of the virtual machine need to be adjusted according to a predetermined strategy and the service condition information; adjusting the resources of the virtual machine when determining to adjust the resources of the virtual machine. According to the method and the system, the resources can be dynamically and automatically adjusted according to the service condition of the resources of the virtual machine, so that the influence of higher occupancy rate on normal operation of the virtual machine is avoided. The management cost and the maintenance cost are reduced, and the operating efficiency of the virtual machine is improved.

The invention relates to a method for acquiring dynamic traffic information based on a middleware, which overcomes the shortcomings of data loss, data noise, and particularly the multi-source isomerism of data, reduces redundant data, ensures the accuracy of the data and improves the accuracy and the reliability of the data. The method comprises the following steps of: 1) transmitting the traffic information by adopting a serial interface communication mode and/or a network communication mode; 2) customizing an information acquisition port which can be matched with different inspection devices of the traffic information by using an interface definition language IDL in the CORBA middleware technique, identifying and normalizing the data from different inspection devices, thus acquiring the real-time dynamic traffic information, such as road traffic flow, vehicle velocity, road occupancy rate and the like; 3) performing preprocessing on the all data acquired by the method, and performing map matching on a floating automobile by using a road matching algorithm based on a network topology relationship; and 4) fusing and saving the multi-source isomerous real-time dynamic traffic data which is preprocessed by the method in a database by using an immune clustering neural network.

A system for managing a toll-based roadway includes one or more receiving units positioned above or proximate the roadway and a sensing unit positioned within a vehicle traveling on the roadway. The sensing unit is configured to sense occupancy data based on the number of passengers within the vehicle. The occupancy data is communicated to the one or more receiving units.

A system and method for estimating an expected waiting time for a person entering a queue may receive image data captured from at least one image capture device during a period of time prior to the person entering the queue; calculate, based on the image data, one or more prior waiting time estimations, a queue handling time estimation, and a queue occupancy; assign a module weight to each of the one or more prior waiting time estimations and to the queue handling time estimation; generate, based on at least the calculations of the one or more prior waiting time estimations, the queue handling time estimation, and the respective module weights, a recent average handling time for the prior period of time; and determine the expected waiting time based on the recent average handling time and the queue occupancy.

The invention discloses a method for automatically closing background programs. The method comprises the following steps of: (1) detecting whether a mobile terminal is in a screen locked state or not; (2) if the mobile terminal is in the screen locked state, starting an idle process scanning grogram to perform monitoring in first preset time and recording the occupancy rate of all resources of every background program except for a pardon program, and otherwise, repeating the step (1); (3) judging whether the occupancy rate of any resources of the background programs exceeds a corresponding value in a threshold table; and (4) if the occupancy rate of the resources of the background programs exceeds the corresponding value in the threshold table, closing the background programs, and otherwise, quitting the idle process scanning program. Compared with the prior art, by adopting the method for automatically closing the background programs of the mobile terminal, automatic closing of the background programs of the mobile terminal is realized, and the resources occupied by the background programs are released, and therefore, the operating efficiency of the mobile terminal is increased, and the user experience is improved. Meanwhile, the invention discloses the mobile terminal of automatically closing the background programs.

The invention relates to an intelligent configuration storage backup method suitable for cloud storage. The method comprises the following steps: selecting a storage backup strategy according to user requirements, wherein the storage backup strategy comprises a layered storage sub-strategy and an efficiency performance sub-strategy; classifying documents to be backed up according to the layered storage sub-strategy, and performing file level or data block level data deduplication and further compression on the documents to be backed up according to the efficiency performance sub-strategy; transferring the documents to storages of different levels according to the layered storage sub-strategy, and reserving an index pointer pointing to a storage place; and checking the previous backup state of the documents, and backing up the processed documents to backup equipment to complete backup synchronization. In the method, the data are subjected to deduplication, compression and layered storage, so that the data deduplication rate and cost performance of system performance occupancy rate can be improved, and the storage resource configuration is optimized.

The invention discloses a self-adapting channel estimating method applied to 3GPP LTE system. The method comprises the following steps: (1) the LS (least square) channel estimating value at a pilot tone is computed according to reference signals in a receiving data field; (2) interpolation in the time domain is performed according to current frame pilot tone channel estimated value data and reserved delay frame pilot tone channel estimated value data, and a pilot matrix encrypted is obtained through computing; (3) channel delay spread is estimated according to LS estimation value at the pilot tone, then radio frequency channel filtering coefficient is selected according to the delay spread, and the frequency domain estimation value is computed; and (4) channel Doppler spread is estimated according to the LS estimation value at the pilot tone, then time domain filtering coefficient is selected according to the Doppler spread, and the time domain channel estimation value is computed. The self-adapting channel estimating method provided by the invention has a self-adapting capability to channel characteristics, reduces the occupancy rate and working consumption of hardware resource, improves the estimating speed and reduces computation delay of an estimator.

The embodiment of the invention discloses a method and system for configuring a buffer area at a streaming media server side based on an MPEG (Moving Picture Experts Group)-4. The method comprises the following steps of: calculating the cache occupancy rate of cached video streaming in the current buffer area; judging whether the cache occupancy rate is greater than a preset first occupancy rate threshold and is smaller than a second occupancy rate threshold, wherein, the second occupancy rate threshold is greater than the first occupancy rate threshold; if the cache occupancy rate is smaller than the first threshold, adjusting the size of the current buffer area; if the cache occupancy rate exceeds the first threshold and is less than the second occupancy rate threshold, adjusting the video coding rate of the MPEG-4 by controlling the frame rate; and if the cache occupancy rate exceeds the second occupancy rate threshold, releasing frames according to a dynamic frame dropping algorithm. The method and the system have the beneficial effects that on the premise of ensuring no drop frame as far as possible, buffer overflow can be well prevented and effective decoding rate can be improved by dynamically configuring the capacity of the buffer area and adjusting the decoding rate of the frames, thus further improving the video quality.

A universal platform for utility computing that allows service providers to charge clients for the services rendered according to a dimensionless cross-platform universal metric. The platform measures or monitors six metrics commonly used in software computing (MHz for CPU usage, Mbytes for memory usage, Kbytes/sec for I/O, Kbytes/sec for LAN, Kbits/sec for WAN and Gbytes for storage) and applies appropriate weighting and conversion factors to each consumption value to a value in the universal metric that can be applied agnostically to any system or application. The metric can also take other controllable variables into account, such as real estate cost, tax jurisdiction and electrical power. The metric effectively a metric makes diverse computing resources comparable. The total value of the resources consumed by a user determines the cost charged for the use of the computing services.

The embodiment of the invention provides a buffer memory writing method and apparatus and a synchronizing method and apparatus for a disk cache region. The buffer memory writing method comprises steps of acquiring to-be-written data of a system, determining the size of the to-be-written data, writing the to-be-written data a data region of a disk when the size of the to-be-written data is larger than a first threshold value, and writing the to-be-written into data and corresponding metadata information into a buffer region of a non-volatile memory storer when the size of the to-be-written data is smaller or equal to the first threshold value. The metadata information comprises a disk address of the to-be-written data, data size and version number; and the version number indicates a sequence number of the to-be-written data updated by the system. The to-be-written data is directly written into the data region of the disk, so large handling capacity data can be buffered without the use of the buffer region of the disk and occupancy rate of large handling capacity applications in the buffering region space can be reduced; and pressure of buffering equipment can be reduced.

The invention relates to a navigational satellite signal receiving module, comprising a radio frequency input unit, a base band processing unit, a sensor unit and a information output unit; wherein the radio frequency input unit is used for receiving a navigational satellite signal and outputting a digital intermediate frequency signal, the base band processing unit is used for acquiring satellite navigation information and positioning and resolving the current position of the receiving module, the sensor unit is used for acquiring the speed, acceleration or directional information of the current receiving module and outputting the speed, acceleration or directional information to the base band processing unit, and the information output unit is used for outputting the current position of the receiving module in NMEA format. By adopting the technical scheme of the invention, processing on sensor information of a user MCU can be eliminated, only a UART interface reported by a navigation message is processed, and navigation positioning information of NMEA-0183 and sensor information can be simultaneously acquired and reported. Thus, user demand can be met flexibly, not only accuracy of positioning is improved, but also port occupancy rate and processing overhead of the user MCU are reduced. The invention can be applicable to navigational satellite positioning systems such as GPS, Beidou navigation satellite system, GLONASS and Galileo navigation satellite system.

The invention relates to a congestion control method for a wireless sensor network, which comprises the following five steps: 1) at a source end of the sensor network, choosing representative nodes instead of all sensing nodes to report events; 2) detecting the congestion by the nodes according to an occupancy rate of a local buffer zone; 3) dividing the nodes between the source and a gathering node sink into far sink nodes and near sink nodes according to the distances from the nodes to the gathering node sink; 4) if detecting the congestion by the far sink nodes, sending a backward congestion report and spreading the report information along the direction of a data source, and adopting a congestion processing method based on flow scheduling by the node which receives the report information; and 5) if detecting the congestion by the near sink nodes, sending a forward congestion report to the gathering node sink, and adjusting the speed or quantity of the representative nodes by the gathering node sink according to an application requirement after receiving the congestion report information. According to the method, the congestion problems probably occurring in different areas of the wireless sensor network are solved by using different processing methods, thereby timely and efficiently avoiding or relieving congestion.

The present invention relates to a molded ferrite sheet having opposing surfaces and a thickness in a range of 30 μm to 430 μm, at least one surface of said opposing surfaces having the following surface roughness characteristics (a) to (c):

• • (a) a center line average roughness is in a range of 170 nm to 800 nm,
  • (b) a maximum height is in a range of 3 μm to 10 μm, and
  • (c) an area occupancy rate of cross-sectional area taken along a horizontal plane at a depth of 50% of the maximum height in a square of side 100 μm is in a range of 10 to 80%.

The invention provides the method for traffic control and service processing system, for this system, the following traffic control method is adopted: detect the occupancy rate of the system resources; when the detected occupancy rate of the system resource exceeds the preset upper limit of the occupancy rate of the system resource, the system resources occupied by the processing thread of current task is limited. This technical scheme can limit the system resources occupied by the processing thread of the current task to control the traffic to reduce the occupied system resources of the processing task of the current tasks and reduce the influences of too higher task data traffic on the system.

The invention discloses a multi-user collaborative spectrum sensing method based on a single bit compression sensing technology. Based on the current situation of a low actual occupancy rate of wireless spectrum resources, a plurality of control units (CUs) use a single bit complex signal compression sensing technology respectively, after compressed sampling is performed to broadband analog base band signals sent by a master user, the obtained compressed sampling results are transmitted to a financial centre (FC) respectively, and the FC performs collaboration reconstruction to corresponding frequency domain signals of the broadband analog base band signals to obtain occupancy conditions of spectrum resources. Compared with traditional sensing methods, the simplicity of actual quantitative operation is fully considered, the bit speed rate needed by compressed spectrum sensing is further reduced, the computation complexity of each sensing user is reduced, and multi-user collaborative spectrum sensing and single user independent sensing are compared, so that good sensing effects can be obtained.