1217 results about "Time distribution" patented technology

The invention relates to the field of a pet device, and especially relates to an intelligent pet food emitter. The intelligent pet food emitter comprises a matrix, the matrix is internally provided with an emission channel communicating with the outside, the emission channel is straight, the emission channel is internally provided with an impact rod, and a compression spring is arranged between the tail end and of the impact rod and the matrix; and the matrix at the upper end of the emission channel is provided with a food chamber for containing food, a discharge port at the bottom of the food chamber communicates with the emission channel, the matrix is internally provided with a reciprocating motion mechanism, and the reciprocating motion mechanism is connected with the impact rod through a disengagement mechanism. According to the intelligent pet food emitter, through arrangement of a mobile phone APP, real-time distribution of the food can be remotely controlled, the food is thrown to a certain distance by use of the emission channel, interaction fun with a pet can be realized, the pet status can be remotely observed, and remote conversation with the pet can be realized.

The consistency callback mechanisms employed by local file systems such as NTFS and distributed file systems such as DDS, NFS and CIFS are extended to provide a shared memory foundation for efficiently broadcasting real-time high definition video from a source object to large numbers of viewers via the Internet. Distributed applications such as video viewing client applications establish connections to a common distributed file system object, and then each application registers with the underlying distributed file system to receive notifications whenever the video source modifies the source object. The data required to update images maintained by viewing clients is included in notification messages. The distributed file system employs a network of proxy cache nodes. Proxy cache nodes receive notification messages (complete with image update data) and update their cached images of the source object and then retransmit the notification messages towards the viewing clients using IP multicast techniques. In this manner, the distributed file system's consistency mechanism efficiently employs network resources to enable the real-time distribution of video content streams.

A method and apparatus for augmenting the conventional price-time chart used for technical analysis of securities price movements. In a preferred embodiment, the method takes a conventional Bar Chart or Japanese Candlestick Chart with a definite timeframe and then for each bar on the chart; it statistically quantifies the volume and time distribution throughout the range of the bar into discrete elements, using price and volume data within the bar interval from a sub-timeframe. The discrete elements are then graphically overlaid on the bar in a way which preserves its original appearance as close as possible. The apparatus is an application software which implements the method by displaying the conventional price-time chart, calculating the relevant elements and overlaying the values on the chart bars, either in a static or real-time market setting.

The present invention relates generally to dental compositions comprising non-caloric or low-caloric high-potency sweeteners and methods for making and using them. In particular, the present invention relates to different dental compositions comprising at least one non-caloric or low-caloric natural and/or synthetic high-potency sweetener, at least one sweet taste improving composition, and an active dental substance. The present invention also relates to dental compositions and methods that can improve the tastes of non-caloric or low-caloric natural and/or synthetic, high-potency sweeteners by imparting a more sugar-like taste or characteristic. In particular, the dental compositions and methods provide a more sugar-like temporal profile, including sweetness onset and sweetness linger, and/or a more sugar-like flavor profile.

A lighting controller may optimize a timeout value of a lamp based on the goals of saving energy and providing occupant comfort. The lamp may illuminate a lighting area. The lighting controller may determine a false-negative rate for the lamp from sensor data that represents a frequency at which the lamp is timed out while the lighting area is occupied. The lighting controller may adjust the timeout value of the lamp over time so that the false-negative rate approaches a threshold false-negative rate. The false-negatives and occupancy periods may be detected from spikes in time distributions of motion data. The amount of energy that the lamp would consume at an increased timeout value of the lamp may be determined from motion data stored while the timeout value of the lamp is at an initial timeout value.

The invention discloses a field-oriented personalized intelligent recommendation system and an implementation method. Aiming at the defect of poor universality of the traditional recommendation manner, a reasonable data organization mode is adopted, so that the recommendation service has a cross-field property, and field conversion can be realized by configuring field information according to the characteristics of different fields; aiming at the problem of data sparseness caused by single user information acquisition source and low quantity in the traditional recommendation manner, a context perception technology for actively acquiring context information of interactive behaviors of a user and the system is introduced, so that the quantity of the acquired user information is greatly increased, and the time distribution of the acquired user information is more reasonable; the acquisition of the user information is directly related with the interactive behaviors of the user and the system; the system can acquire the current condition of the user in real time, so that the recommendation service can dynamically reflect the change condition of user demand; and the recommendation service quality is improved through a recommendation learning model by continuously using the reflection of the user on the recommendation result.

Systems for and methods of determining likelihood of mobility of reference points in a positioning system are disclosed. A method of determining a measure of likelihood that a designated wireless device is a mobile device includes determining a set of reference points associated with a designated wireless device. The reference points are a geographic position at which signals from the device were detected and/or another wireless device from which signals were also detected by a receiver within a selected period of time during which the signals from the designated device were detected. The method also includes retrieving statistical information about a temporal distribution of detection of signals of reference points, a spatial distribution of the reference points, and/or a cardinality of the reference points. The method includes determining a measure of likelihood that the designated wireless device is a mobile wireless device based on the statistical information.

A computer implemented physical signal analysis method includes four basic steps and the associated presentation techniques of the results. The first step is a computer implemented Empirical Mode Decomposition that extracts a collection of Intrinsic Mode Functions (IMF) from nonlinear, nonstationary physical signals. The decomposition is based on the direct extraction of the energy associated with various intrinsic time scales in the physical signal. Expressed in the IMF's, they have well-behaved Hilbert Transforms from which instantaneous frequencies can be calculated. The second step is the Hilbert Transform which produces a Hilbert Spectrum. Thus, the invention can localize any event on the time as well as the frequency axis. The decomposition can also be viewed as an expansion of the data in terms of the IMF's. Then, these IMF's, based on and derived from the data, can serve as the basis of that expansion. The local energy and the instantaneous frequency derived from the IMF's through the Hilbert transform give a full energy-frequency-time distribution of the data which is designated as the Hilbert Spectrum. The third step filters the physical signal by combining a subset of the IMFs. In the fourth step, a curve may be fitted to the filtered signal which may not have been possible with the original, unfiltered signal.

The present invention advantageously provides a system and method for management of cryptographic keys and certificates for a plurality of vehicles. Each vehicle of the plurality of vehicles generates public/private key pairs, requests multiple time-distributed certificates, creates an encrypted identity, and surrenders expired certificates. An assigning authority receives the public/private key pairs, the request for multiple time-distributed certificates, the encrypted identity, and the expired certificates from said vehicle. The assigning authority authorizes the vehicle with an authorizing authority, validates the expired certificates, proves ownership, and distributes the requested time-distributed certificates to said vehicle. Validation can comprise checking expired certificates against misused, compromised and/or previously surrendered certificates. Time-distributed certificates can have lifetimes adjustable based on certificate misuse detection system algorithms, amount of malicious activity detected, and/or certificate authority capacity.

The invention discloses a method and a device for recommending a television program. The method comprises the following steps of: receiving behavioral data of a user channel, and converting the behavioral data of the user channel into program classification information of the user channel according to a pre-obtained television program list; respectively calculating a user channel classification relevance weight value, a channel classification program time distribution weight value and a channel classification program watching weight value according to the user channel program classification information and received other user channel program classification information; obtaining a television program weight value under each channel classification according to a pre-set television program weight calculation formula and the user channel classification relevance weight value, the channel classification program time distribution weight value and the channel classification program watching weight value; and selecting a television program corresponding to channel classification with a maximum weight value according to the obtained television program weight value under each channel classification, so as to generate a recommending list and recommend the television program to a user. With the adoption of the method and the device for recommending the television program, provided by the invention, the recommending efficiency of the television program can be improved.

The invention discloses an intelligent order scheduling method. The intelligent order scheduling method comprises the following steps: obtaining a new order; obtaining geographic positions of a user and a merchant according to information in the new order; calculating a distribution distance between the geographic position of the user and the geographic position of the merchant according to the geographic position of the user and the geographic position of the merchant; monitoring electric vehicle data uploaded by a distribution worker electric vehicle monitoring system, and calculating a pre-estimated driving distance of an electric vehicle of each distribution worker; and carrying out intelligent distribution of the order according to the data. The invention further provides an intelligent order scheduling server, the electric vehicle applied to the intelligent order scheduling method, a mobile terminal applied to the intelligent order scheduling method, and a system applied to the intelligent order scheduling method. By the aid of the intelligent order scheduling method and server, the electric vehicle, the mobile terminal and the system, the short-distance and in-time distribution can be efficiently finished.

A packet mode (e.g. IP) group communication service layer is provided on top of a standard mainstream cellular radio network. Conceptually, the group communication layer includes a pair of basic logical entities, an application bridge and a call processing server (CPS). The bridge and the CPS run group service applications which communicate with group service application(s) in a mobile station MS over the IP connections provided by the radio network. The CPS is responsible for control plane management of group communications. The bridge is responsible for the real-time distribution of VoIP packets to the user terminals according to their group memberships over valid connections programmed by the CPS.

Systems for and methods of determining likelihood of reference point identity duplication in a positioning system are disclosed. A method of determining a measure of likelihood that a designated identifier is shared by wireless devices includes determining reference points associated with any wireless device having a designated identifier. The reference points are a geographic position at which signals from any of the wireless devices were detected and/or wireless devices from which signals were also detected within a selected period of time during which the signals from any of the wireless devices having the designated identifier were detected. The method also includes determining statistical information about a temporal distribution of detection of signals of reference points, a spatial distribution of the reference points, and/or a cardinality of the reference points and determining a measure of likelihood that the designated identifier is shared by wireless devices is based on the statistical information.

The invention discloses an intelligent order scheduling method. The intelligent order scheduling method comprises the following steps: obtaining a new order; obtaining geographic positions of a user and a merchant according to information in the new order; calculating a distribution distance between the geographic position of the user and the geographic position of the merchant according to the geographic position of the user and the geographic position of the merchant; monitoring electric vehicle data uploaded by a distribution worker electric vehicle monitoring system, and calculating a pre-estimated driving distance of an electric vehicle of each distribution worker; and carrying out intelligent distribution of the order according to the data. The invention further provides an intelligent order scheduling server, the electric vehicle applied to the intelligent order scheduling method, a mobile terminal applied to the intelligent order scheduling method, and a system applied to the intelligent order scheduling method. By the aid of the intelligent order scheduling method and server, the electric vehicle, the mobile terminal and the system, the short-distance and in-time distribution can be efficiently finished.

The system has a control center, a time master device and a plurality of distributed, time slave field devices in synchronization with a master clock of the time master device. The time master device periodically transmits a time distribution data unit. Each time slave field device has a timer adjustment element, a fixed rate clock and a variable clock. The timer adjustment element calculates a frequency ratio between the master clock and the fixed rate clock and uses the frequency ratio to calculate adjustment coefficients to adjust a local sense of time for each field device, such that a time stamp of each field device is synchronized to the master clock.

An Internet-based computer-assisted supply-chain management system (SCMS) replaces the archaic commerce systems presently in use. It coordinates just-in-time distribution of items purchased by consumers from a plurality of merchants whereby the inventory in the distribution pipeline is reduced to inventory in transport. It uses regional distributions centers and neighborhood order aggregation facilities for an efficient transfer of items to consumers. Consumers can pick up aggregated orders at an order aggregation facility or have them delivered at a residence. The SCMS phases out conventional checkout registers in favor of web browsers with automatic transaction execution. Retailers can operate with little or no inventory. Window shops facilitate promotion of items and help consumers make selections and decisions with respect to purchases they may be contemplating. The SCMS provides real-time consumption monitoring and forecasts, significantly reduces supply-chain costs and retail prices, promotes economic growth, and minimizes undesirable cyclic economic fluctuations.

A packet mode (e.g. IP) group communication service layer is provided on top of a standard mainstream cellular radio network. Conceptually, the group communication layer includes a pair of basic logical entities, an application bridge and a call processing server (CPS). The bridge and the CPS run group service applications which communicate with group service application(s) in a mobile station MS over the IP connections provided by the radio network. The CPS is responsible for control plane management of group communications. The bridge is responsible for the real-time distribution of VoIP packets to the user terminals according to their group memberships over valid connections programmed by the CPS.

An Internet-based computer-assisted supply-chain management system (SCMS) replaces the archaic commerce systems presently in use. It coordinates just-in-time distribution of items purchased by consumers from a plurality of merchants whereby the inventory in the distribution pipeline is reduced to inventory in transport. It uses regional distributions centers and neighborhood order aggregation facilities for an efficient transfer of items to consumers. Consumers can pick up aggregated orders at an order aggregation facility or have them delivered at a residence. The SCMS phases out conventional checkout registers in favor of web browsers with automatic transaction execution. Retailers can operate with little or no inventory. Window shops facilitate promotion of items and help consumers make selections and decisions with respect to purchases they may be contemplating. The SCMS provides real-time consumption monitoring and forecasts, significantly reduces supply-chain costs and retail prices, promotes economic growth, and minimizes undesirable cyclic economic fluctuations.

The invention discloses a material distribution method. The material distribution method includes the following steps that distribution nodes, distribution paths, distribution modes and a packaging rule are set for achieving distribution modeling; information of a BOM structure and a material supplier is acquired, and then basic conditions required for material decomposition are formed; material decomposition is conducted according to distribution modeling information and the preset packaging rule; decomposed material requirements are assembled, in-plant or out-plant distribution bills are acquired, and the materials are distributed through a warehouse or the material supplier. By the adoption of the method, the complexity of an existing distribution system is lowered, the stability and the timeliness of the system are improved, real-time decomposition and real-time distribution (JIT) of the materials are achieved, and the requirements for material pull type distribution in multi-variety, small-batch and mixed flow production in modern discrete manufacturing are met.

The invention belongs to the technical field of electric power systems and particularly relates to a method for electric vehicle load prediction based on an efficiency maximization principle. First a space-time distribution model of electric vehicles is established based on a trip chain, information such as initial departure time, driving destination, driving distance and stopping time is analyzed, and charging space-time distribution of the electric vehicles is obtained. Charging stations most favorable for users are selected based on the efficiency maximization principle to charge the electric vehicles, and finally space-time distribution of electric vehicle charging loads is given. On the basis of the fact that the electric vehicle load prediction by previous scholars is only confined to the time level and the regional level, the method for electric vehicle load prediction based on the efficiency maximization principle is provided, and the load prediction can be detailed to the charging stations.