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544 results about "Use of time" patented technology

Methods for interactive visualization of spreading activation using time tubes and disk trees

Methods for displaying results of a spreading activation algorithm and for defining an activation input vector for the spreading activation algorithm are disclosed. A planar disk tree is used to represent the generalized graph structure being modeled in a spreading activation algorithm. Activation bars on some or all nodes of the planar disk tree in the dimension perpendicular to the disk tree encode the final activation level resulting at the end of N iterations of the spreading activation algorithm. The number of nodes for which activation bars are displayed may be a predetermined number, a predetermine fraction of all nodes, or a determined by a predetermined activation level threshold. The final activation levels resulting from activation spread through more than one flow network corresponding to the same generalized graph are displayed as color encoded segments on the activation bars. Content, usage, topology, or recommendation flow networks may be used for spreading activation. The difference between spreading activation through different flow networks corresponding to the same generalized graph may be displayed by subtracting the resulting activation patterns from each network and displaying the difference. The spreading activation input vector is determined by continually measuring the dwell time that the user's cursor spends on a displayed node. Activation vectors at various intermediate steps of the N-step spreading activation algorithm are color encoded onto nodes of disk trees within time tubes. The activation input vector and the activation vectors resulting from all N steps are displayed in a time tube having N+1 planar disk trees. Alternatively, a periodic subset of all N activation vectors are displayed, or a subset showing planar disk trees representing large changes in activation levels or phase shifts are displayed while planar disk trees representing smaller changes in activation levels are not displayed.
Owner:XEROX CORP

Deep learning-based short-term traffic flow prediction method

The present invention discloses a deep learning method-based short-term traffic flow prediction method. The influence of the traffic flow rate change of the neighbor points of a prediction point, the time characteristic of the prediction point and the influence of the periodic characteristic of the prediction point on the traffic flow rate of the prediction point are considered simultaneously. According to the deep learning method-based short-term traffic flow prediction method of the invention, a convolutional neural network and a long and short-term memory (LSTM) recurrent neural network are combined to construct a Conv-LSTM deep neural network model; a two-way LSTM model is used to analyze the traffic flow historical data of the point and extract the periodic characteristic of the point; and a traffic flow trend and a periodic characteristic which are obtained through analysis are fused, so that the prediction of traffic flow can be realized. With the method of the invention adopted, the defect of the incapability of an existing method to make full use of time and space characteristics can be eliminated, the time and space characteristics of the traffic flow are fully extracted, and the periodic characteristic of the data of the traffic flow is fused with the time and space characteristics, and therefore, the accuracy of short-term traffic flow prediction results can be improved.
Owner:FUZHOU UNIV

Opto-electronic distributed crossbar switch

The invention is an optoelectronic (OE) crossbar switch (10) for both digital and analog signals, used either separately or combined, whose functions are reconfigurable and distributed. The invention allows multiple senders to be connected with multiple receivers simultaneously. The invention uses optical filters for wavelength division multiplexing and demultiplexing (WDM and WDD). A single fiber module input / output port carries multiple bi-directional signals that are optically filtered out in the module using WDM / WDD filters (12) at each sender / receiver and then selected after optical filtering using photodiode detectors (15) as detectors and switches. Laser transmitters (14), photodiode detectors (15), and smart electronics (18) are used to implement the crossbar switch functions. In addition to optical filters, the use of time division multiplexing (TDM) and code division multiple access (CDMA) implemented either electrically or optically are taught to increase the number of independent users that the distributed switch handles. The switch can be cascaded with other switches using optical bridging circuits (100) to create a scaleable interconnect fabric. An arbitration technique can be used which allows signals to be sent only when the intended receiver is capable of accepting these signals.
Owner:RAYTHEON CO
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