81 results about "Similar time" patented technology

A method for relating to each other cardiovascular and sleep disordered breathing conditions of a patient. The patient's heart rate and/or detailed echocardiogram data is monitored and recorded continuously or periodically together with sleep disordered breathing information on similar time scales. Changes in the patient's heart rate associated with changes in sleep disordered breathing can then be observed. More specifically, positive airway pressure at therapeutic levels for treatment of sleep disordered breathing is applied while events associated with the treatment of the patient's sleep disordered breathing are detected and recorded. At the same time, information concerning the cardiovascular condition of the patient is stored and the stored information concerning the cardiovascular condition of the patient and the recorded events associated with the treatment of the patient's sleep disordered breathing are related to each other.

An information processing apparatus includes: a program guide displaying unit configured to display a program guide on a predetermined display, the program guide being such that program information is arranged in an area having a time axis and a channel axis; an indicator acquisition unit configured to acquire an indicator indicative of the number of viewers viewing each of a plurality of programs listed in the program guide in a similar time zone; and a popularity determination unit configured to determine the popularity of the program in accordance with the indicator. The program guide displaying unit displays at least some of the plurality of programs in a mode indicating the popularity of the program.

The invention discloses a method and a device for generating video abstraction. The method includes: acquiring key frames according to intelligent video stream frame-grabbing algorithm; extracting and classifying backgrounds and objects in the key frames using background compensation algorithm; dividing into a plurality of video data having similar time duration on the basis of a time shaft according to motion track of the objects, and overlapping with the backgrounds having the same time duration to generate the video abstraction. By the method, more historical video data can be saved with less storage space.

There is provided a wind turbine blade at least 50% of the surface of which is covered with a self-adhesive thermoplastic film. By applying a self-adhesive thermoplastic film to the blade, the need for a gelcoat or the paint is eliminated. It is estimated that the thermoplastic film will take a similar time to apply as the gelcoat and/or paint. However, it does not require any further treatment once it has been applied thereby reducing significantly the work involved in finishing the blade. Also, the thickness of the film is precisely controlled in advance of its application to the blade ensuring that a surface with a uniform thickness is produced.

Techniques for efficiently authenticating multiple objects and clustering objects based on access patterns are provided. For example, in an illustrative aspect of the invention, a technique for generating and/or reading authentication information, wherein the authentication information provides evidence that a plurality of objects were one of generated and sent by an entity, comprises using one or more object access patterns indicative of whether at least two of the plurality of objects are accessed within a similar time period to group objects together to reduce an overhead for at least one of generating and reading the authentication information.

A system that facilitates collecting data is described herein. The system includes a digital camera that is configured to capture images in a visible light spectrum and a near-infrared camera that is configured to capture near infrared images, wherein a field of view of the digital camera and the field of view of the near-infrared camera are substantially similar. The system further includes a trigger component that is configured to cause the digital camera and the near-infrared camera to capture images at a substantially similar point in time, and also includes a mounting mechanism that facilitates mounting the digital camera and the near-infrared camera to an automobile.

The invention discloses a prediction method based on a time sequence. The prediction method comprises the following steps of: continuing an original time sequence by using a mean generating function (MGF) method to obtain continuation sequences; screening the continuation sequences by using an optimal subset regression (OSR) method to obtain an optimal subset; by using the optimal subset which is obtained in the preceding step and using the original time sequence as output, training a back propagation (BP) neural network to obtain a BP neural network prediction model; and predicting by using the BP neural network prediction model. By combining the MGF method, the OSR method and the BP neural network, a novel MGF-OSR-BP prediction model is established. By focusing on the prediction model and construction of a learning matrix, the accuracy rate of prediction is higher, and reference can be provided for medium-and long-term prediction research of similar time sequence elements.

A system for watering aqueous battery cells. The system includes a water conduit connectable to a water source, and multiple nozzles attached to and in fluid communication with the water conduit for distributing water to each of the battery cells. The nozzles provide a similar flow rate of water over a similar period of time to provide a similar amount of water to each cell. A method for watering multiple battery cells is also provided.

A method and apparatus delays users from accessing a service via the world wide web in an orderly manner without maintaining a queue. When a user requests the service, if the service is busy, a web server does not allow access to the service: instead it configures the user's web browser via a script or applet to periodically retry requesting the service. A timestamp designating a time the user requested the service or other similar time is provided to the user and a count of timestamps issued in different periods are maintained by the web server. The web server periodically determines a cutoff timestamp corresponding to an available capacity of the apparatus using the count of timestamps it maintains. When the user retries requesting the service, the browser provides to the web server the timestamp it received from the server. If the timestamp provided is less than or equal to the cutoff timestamp, the user is allowed access to the service, otherwise, the users browser is instructed to retry at a specified interval.

A surgical and dental instrument sterilizer is described. Liquid water is rapidly vaporized by microwave heating and steam is generated to attain a steam pressure of approximately 47 psi and a temperature of approximately 135° C. in the region of the articles to be sterilized. Micron-size water-droplets are intermittently sprayed onto the articles which are arranged on a tray, from both the top and from underneath thereof so as to thoroughly wet the surfaces. A 30-90 s duration of droplet spray is followed by pulsed microwave irradiation of the top and underneath surfaces for a similar period, as an example; this is followed by a plurality of spray/microwave cycles. Sterilizing conditions in the sterilizer chamber are maintained in the presence of the water spray/microwave flashing cycles since introducing small aliquots of water will not affect the desired sterilizing condition provided by superheated steam augmented by microwave radiation necessary to kill microbes including spores; however arcing from metal instruments when subjected to microwave radiation is substantially reduced.

The invention discloses a position prediction method by fusion of a movement law of an individual and neighbors. The position prediction method comprises the steps of extracting time position information of an important (key) location in moving data of a user firstly to obtain a user track data; then performing mapping to find out K users which are located around the user and have similar time and space distribution; deeply finding a position movement mode which is in the shape of <A-B-C, T> from the historical user track data; and searching K neighbors having the same position movement mode, and taking the similarity of the predicted user and the adjacent neighbors as the weight, and performing fusion on the predicted user (individual). The similarity of the K neighbor users and the influence on the predicted user by taking the similarity as the weight are taken into consideration; meanwhile, the associated movement law, namely the position movement mode, is searched to perform the position prediction; and therefore, compared with the conventional position prediction method, the position prediction method with such technological thought is more robust, higher in noise resistance, higher in accuracy, and can better satisfy the sociology law.

The invention discloses a building energy consumption prediction method based on a recurrent neural network and a multi-task learning model, relates to the technical field of comprehensive energy management, and solves the technical problems of parallel prediction of multiple types of energy consumption, guarantee of prediction precision and shortening of model training time. The method comprisesthe following steps: acquiring a building energy consumption data sample; The method comprises the following steps of: carrying out missing data processing by utilizing a plurality of similar time point data averaging, constructing a plurality of learning tasks according to an energy consumption type, a time step length and initial time, then normalizing a data set of each learning task, and measuring the similarity among a plurality of task training sets by using a Pearson correlation coefficient. After the similarity among multiple tasks is ensured, a neural network model is created and trained, and finally, a multi-task CIFG-LSTM neural network model is used for predicting composite energy consumption. According to the energy consumption prediction method, the multivariate energy consumption can be predicted at the same time, close connection and interaction between the energy consumption are fully utilized, and the prediction precision and speed are improved.

A congestion prediction algorithm based on historical and peripheral intersection data comprises a first step of performing real-time updating and preprocessing on traffic data; a second step of inputting a predicted target intersection and a time interval; a third step of matching the traffic flow data with historical data of the current area to find out a similar time interval and then carryingout prediction. According to the method, the problem of " traffic flow prediction " is solved by utilizing an algorithm idea of non-parameter regression, the traffic flow is predicted according to historical data and peripheral intersection data, and the traffic data flow is effectively predicted. The congestion situation of the target intersection at the demand time is predicted according to therequirement of a user on the traffic jam prediction situation, and the traffic flow can be efficiently and accurately predicted.

A self-adjusting-difficulty feature for a pinball machine enables operators to set a desired game playtime. The difficulty of play, the chance of a ball draining or staying on the playfield, is adjusted through moving active features such as posts to different positions on the playfield. Thus the machine is made easier to play for a novice and tougher for an experienced player. The score given by playfield features is increased as the level of difficulty is increased. Thus, the novice and experienced player may play for a similar amount of time, the experienced player is more likely to get a higher score. Additionally, some playfield features may only be unlocked when the machine is set for a high level of difficulty.

The invention relates to the technical field of information processing, and in particular to a technology for reconstructing MRI fingerprint identification based on a sliding window. The technology reconstructs an image sequence based the sliding window in an acquisition signal time axis and generates a dictionary element corresponding with a window width. The technology can shorten total acquisition time, can obtain a more accurate quantitative parameter imaging result and smaller errors provide with same acquisition time. In addition, since the method is a non-iteration method, the method requires similar time for reconstruction as traditional MRI fingerprint identification technology, thus having greater application value.

Techniques for managing data objects in conjunction with a computer system are provided. In a technique for clustering data objects on a disk storage device, the invention comprises maintaining a log of at least a portion of accesses (e.g., read and for write operations) to the data objects; determining from the maintained log a cluster comprised of data objects accessed at substantially similar times; and storing the data objects comprising the cluster in close proximity to one another on the disk storage device. In a technique for prefetching data objects on a disk storage device, the invention comprises receiving a request for a data object in a cluster, determining from the log a probability that at least one other data object in the cluster may be subsequently requested; and, in response to the probability being not less than a predetermined value, retrieving both the requested data object and the at least one other data object. Such clustering and prefetching techniques substantially reduce the number of storage device seeks.

A method and system for segmenting a plurality of images. The method comprises the steps of segmenting the image through a novel clustering technique that is, generating a composite depth map including temporally stable segments of the image as well as segments in subsequent images that have changed. These changes may be determined by determining one or more differences between the temporally stable depth map and segments included in one or more subsequent frames. Thereafter, the portions of the one or more subsequent frames that include segments including changes from their corresponding segments in the temporally stable depth map are processed and are combined with the segments from the temporally stable depth map to compute their associated disparities in one or more subsequent frames. The images may include a pair of stereo images acquired through a stereo camera system at a substantially similar time.

The invention disclose a mobile query suggestions with time-location awareness. The techniques describe recommending mobile query suggestions by integrating time and location in response to a query input submitted on a mobile computing device. A process constructs a bipartite graph by extracting users that submitted queries from mobile search logs and associating time and location with the submitted queries. The process determines the users are similar having submitted similar queries at similar times and at similar locations. The process receives a query input associated with a current time and a current location of a mobile computing device. Next, the process computes a relatedness of candidate queries to the query input based on a similarity between the user groups having submitted both the candidate queries and the query input, and distances of times and locations at which the user previously issued the query input and the candidate queries.

The invention provides a space-time accompanying object mining method based on Geohash, and the method comprises the steps: firstly converting the longitude and latitude of each piece of track data into Geohash codes, storing the Geohash codes in a database, and achieving the gridding coding of a map; secondly, counting the number of grids passed by each track object and the number of grids whereevery two objects appear at the same time at the similar time through a Geohash value; and finally, calculating the track similarity of the moving object so as to mine the accompanying object. By adopting the method and the device, the space-time accompanying object mining efficiency can be remarkably improved under the condition of ensuring relatively high accuracy.

The present invention discloses a wideband channel simulating method and device thereof. The method for extracting the wideband channel parameter according to the invention comprises the following procedures: extracting the wideband channel parameter; synchronizing the channel with similar time delay and angle to a cluster according to the extracted channel parameter; counting the inter-cluster parameter comprising the time delay and angle distribution of cluster; and counting the intra-cluster parameter comprising the power of the inside diameter of the cluster, the time delay and angle distribution relative to the average value of the cluster. The method and device according to the invention use the extracted signal channel parameter for simulating the signal channel. The characteristic of the real transmitting environment can be really and accurately reflected. Furthermore the method provided by the invention has a low complexity for realizing.

A system and method for synchronizing clocks across a packet-switched network eliminates wander accumulation to enable precision clock distribution across a large network. In addition to standard Precision Time Protocol (PTP) synchronization messages or similar time synchronization messages, each clock regenerator stage receives a grand clock error message from the previous stage, updates this error message with its own stage clock error, and then transmits the updated grand clock error to the next stage. This enables the synchronization algorithm to compensate for the error of the previous stage, effectively locking each clock regenerator stage to the grand master clock directly.

The invention provides a method for determining diagnosis treatment measures based on log data. The method includes the steps that the log data in a period are acquired; according to one or more features, the acquired log data are counted; a statistic result is used for establishing a log feature in the period; a period with the log feature identical or similar to that of the determined log feature is recognized in each period before the selected period; the diagnosis treatment measures made for the log data of the recognized periods are acquired; each acquired diagnosis treatment measure is determined as the diagnosis treatment measure for the log data of the corresponding period.