Abstract:
A method and apparatus for supporting call control of circuit domain telephone and Voice over IP (VoIP) are provided by the present invention, and the apparatus includes a call flow control module, which is for receiving and storing off-hook events and judging if the user makes a circuit domain telephone call or VoIP call according to the number dialed by the user; if making a VoIP call, sending the off-hook event to a VOIP call control module, and sending all the events in the present call to the VoIP call control module for processing; if making a circuit domain telephone call, sending the off-hook event to a circuit domain telephone call control module, and sending all the events in the present call to the circuit domain telephone call control module for processing.
Abstract:
A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present disclosure, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.
Abstract:
Systems, methods, and devices for simultaneously distributing mass notifications to multiple users. A mass notification system receives input data and, based on this input data, creates notifications for mass distribution. The notifications are then transmitted to computing devices used by the users who are to be notified.
Abstract:
A method and apparatus for supporting call control of circuit domain telephone and Voice over IP (VoIP) are provided by the present invention, and the apparatus includes a call flow control module, which is for receiving and storing off-hook events and judging if the user makes a circuit domain telephone call or VoIP call according to the number dialed by the user; if making a VoIP call, sending the off-hook event to a VOIP call control module, and sending all the events in the present call to the VoIP call control module for processing; if making a circuit domain telephone call, sending the off-hook event to a circuit domain telephone call control module, and sending all the events in the present call to the circuit domain telephone call control module for processing.
Abstract:
A signal classifying method and apparatus are disclosed. The signal classifying method includes: obtaining a spectrum fluctuation parameter of a current signal frame determined as a foreground frame, and buffering the spectrum fluctuation parameter; obtaining a spectrum fluctuation variance of the current signal frame according to spectrum fluctuation parameters of all buffered signal frames, and buffering the spectrum fluctuation variance; and calculating a ratio of signal frames whose spectrum fluctuation variance is above or equal to a first threshold to all the buffered signal frames, and determining the current signal frame as a speech frame if the ratio is above or equal to a second threshold or determining the current signal frame as a music frame if the ratio is below the second threshold. In the embodiments of the present disclosure, the spectrum fluctuation variance of the signal is used as a parameter for classifying the signals, and a local statistical method is applied to decide the type of the signal. Therefore, the signals are classified with few parameters, simple logical relations and low complexity.
Abstract:
Stents of the type used to treat and prevent localized flow constriction in body vessels are based upon negative Poisson's ratio (NPR) structures. An auxetic stent constructed in accordance with this invention comprises a tubular structure having two ends defining a length with a central longitudinal axis and an axial view defining a cross section. The tubular structure is composed of a plurality of unit cells with two different configurations, called V-type and X-type. In V-type auxetic stents, each unit cell comprises a pair of side points A and B defining a width, a first pair of members interconnecting points A and B and intersecting at a point C forming a first V shape, and a second pair of members interconnecting points A and B and intersecting at a point D forming a second V shape. In X-type auxetic stents, each unit cell comprises eight points from A to H defining an outline of the unit cell. Eight straight or curved members interconnecting points A and B, B and C, C and D, C and E, E and F, F and G, G and H, G and A, respectively, forming the X-type unit cell. In both configurations, the unit cells are connected in rows and columns, such that compression of the structure between the two ends thereof causes the cross section of the structure to shrink in size. The auxetic structure configurations invented can also be used, with similar dimensions or significantly different dimensions, for other applications, such as in a nano-structural device, a tubal fastener design, or in an application associated with a large oil pipe or other pipelines.
Abstract:
Pseudo dual-energy material identification systems and methods with under-sampling are disclosed. The system comprises a ray generating device, a mechanic rotation control section, a data collecting subsystem comprising a first tier of detectors and a second tier of detectors, and a master control and data processing computer. The system utilizes a CT-imaging-based material identification method with under-sampled dual-energy projection data, in which only a few detectors at the second tier are used to perform dual-energy projection data sampling, and optimization is made on the procedure of solving an equation system.
Abstract:
The disclosure discloses a registration method or an unregistration method for a home information machine and a home information machine thereof, to solve the problem of low security and reliability in the prior art when a Portable Part (PP) machine is registered on the home information machine. The registration method comprises: a Fixed Part (FP) module of the home information machine receives a registration command and first verification information sent by a Mobile Internet Device (MID) module of the home information machine, wherein the first verification information is used to verify verification information input by the PP machine to be registered; the FP module enters a registration state, and receives a registration request and second verification information sent by the PP machine to be registered; the FP module verifies the second verification information by the first verification information, determines whether the registration of the PP machine to be registered is successful according to the verification result, and exits the registration state when determining that the registration of the PP machine to be registered is successful. When the technical solution of the disclosure is used, security and reliability during the registration process of the PP machine can be improved.
Abstract:
Pseudo dual-energy material identification systems and methods with under-sampling are disclosed. The system comprises a ray generating device, a mechanic rotation control section, a data collecting subsystem comprising a first tier of detectors and a second tier of detectors, and a master control and data processing computer. The system utilizes a CT-imaging-based material identification method with under-sampled dual-energy projection data, in which only a few detectors at the second tier are used to perform dual-energy projection data sampling, and optimization is made on the procedure of solving an equation system.