Abstract: Example positioning techniques include: generating an initial particle set, randomly allocating different moving step lengths for each particle in the initial particle set, updating position information of each particle at a previous moment to obtain a current particle set, rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at a current moment, acquiring a moving step length of each particle having a rating higher than a first predetermined threshold in the current particle set, and updating a moving step length of each particle having a rating lower than the first predetermined threshold according to the acquired moving step length. The techniques of the present disclosure obtain a moving step length closest to the actual step length of a person, and update the moving step length in time with the change of the step length of the person.

Abstract: A method and an apparatus of positioning a mobile terminal based on geomagnetism. The mobile terminal has at least one magnetic force sensor.

Abstract: A method and an apparatus of positioning a mobile terminal based on geomagnetism. The mobile terminal has at least one magnetic force sensor.

Abstract: Described are techniques for testing software. The techniques may include identifying, at a first point in time, first code that has been modified, identifying, using first mapping information, a testing set of one or more test cases wherein the first mapping information identifies each test case of the testing set as a test case used to test the first code, running the testing set, generating coverage information in accordance with executing; analyzing the coverage information, generating second mapping information in accordance with said analyzing, and updating the first mapping information in accordance with the second mapping information.

Abstract: A method and an apparatus of positioning a mobile terminal based on geomagnetism. The mobile terminal has at least one magnetic force sensor.

Abstract: A flow control system is provided for a horizontal well production system having a casing, a tube having an intake opening and disposed within the casing, and a gap formed between the casing and the tube. The flow control system includes a valve having an orifice, coupled to the tube and disposed proximate to the intake opening. The flow control system further includes an actuator coupled to the valve and configured to open the valve in response to a presence of a liquid in the gap, proximate to the intake opening, to permit flow of the liquid into the tube via the intake opening, and to close the valve in response to a presence of a gas in the gap, proximate to the intake opening, to prevent flow of the gas into the tube via the intake opening.

Abstract: An ultrasound scan probe and support mechanism are provided for use in a multi-modality mammography imaging system, such as a combined tomosynthesis and ultrasound imaging system. In one embodiment, the ultrasound components may be positioned and configured so as not to interfere with the tomosynthesis imaging operation, such as to remain out of the X-ray beam path. Further, the ultrasound probe and associated components may be configured to as to move and scan the breast tissue under compression, such as under the compression provided by one or more paddles used in the tomosynthesis imaging operation.

Abstract: The present disclosure relates to the manufacture and use of a non-rigid breast compression paddle, such as a compression paddle having a mesh material forming the primary interface with patient tissue. In certain implementations, an automatic feedback driven approach may be used in conjunction with such a compression paddle for compressing breast tissue.

Abstract: A bioreactor is provided. The bioreactor is a multi-scalable bioreactor, which comprises a culture vessel for seeding and culturing cells by adding a cell-culture media, wherein the culture vessel comprises at least a side wall and a bottom surface, a specific heat transfer area and a specific gas transfer area; wherein the culture vessel is configured to accommodate the cell-culture media volume up to 10 liters, and wherein the specific heat transfer area and the specific gas transfer area are independent of cell-culture media volume. A kit for culturing cells in a large scale is also provided which further comprises disposable tubings, culture bag or combinations thereof. A method for culturing cells is also provided.

Abstract: Example positioning techniques include: generating an initial particle set, randomly allocating different moving step lengths for each particle in the initial particle set, updating position information of each particle at a previous moment to obtain a current particle set, rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at a current moment, acquiring a moving step length of each particle having a rating higher than a first predetermined threshold in the current particle set, and updating a moving step length of each particle having a rating lower than the first predetermined threshold according to the acquired moving step length. The techniques of the present disclosure obtain a moving step length closest to the actual step length of a person, and update the moving step length in time with the change of the step length of the person.

Abstract: A Bluetooth-based positioning method and an apparatus thereof are disclosed. The method includes a mobile terminal receiving a Bluetooth signal transmitted by at least one Bluetooth beacon device; obtaining a media access control (MAC) address of each Bluetooth beacon device according to the received Bluetooth signal, and selecting Bluetooth beacon devices having a respective MAC address as a first MAC address to be reference devices; obtaining a Bluetooth signal strength and a broadcast beacon identifier of each reference device; and calculating a position of the mobile terminal according to the obtained Bluetooth signal strength and the obtained broadcast beacon identifier of each reference device.

Abstract: A gas intake apparatus for use in a wellbore configured to channel a mixture of fluids and solids includes a housing defining a chamber and at least one gas intake passage in flow communication with the chamber. The gas intake apparatus further includes a gas intake mechanism coupled to the housing at the at least one gas intake passage. The gas intake mechanism is configured to facilitate a flow of gaseous substances therethrough and to restrict a flow of solids and liquids therethrough.

Abstract: A sampling assembly configured to be coupled to a sample source is provided. The sampling assembly is configured to facilitate aseptic sampling at one or more instances in time. The sampling assembly includes a first conduit having a first port and a second port, where the first port is configured to be coupled to the sample source, and where the second port is configured to be hermetically sealed. The sampling assembly further includes a plurality of sub-conduits having corresponding sub-ports, where each of the plurality of sub-conduits is operatively coupled to the first conduit at respective connection points, and where each of the sub-ports is in fluidic communication with the first conduit. Moreover, the sampling assembly includes a plurality of sampling kits, where each sampling kit of the plurality of sampling kits is operatively connected to a respective sub-port of a corresponding sub-conduit.

Abstract: A coupling device configured to form a sample access assembly is provided. The sample access assembly is configured to house a sample. The coupling device includes a heating component and a separating component. Further, the separating component is configured to separate portions of first and second containers that form first and second compartments of the sample access assembly. Moreover, the heating component is configured to heat at least a portion of the sample.

Abstract: An apparatus and method are provided for servicing a dynamoelectric machine component. The apparatus includes a tool delivery mechanism adapted for delivering a tool to a desired location in the dynamoelectric machine, and a tool support fixture adapted to be secured onto the body of the dynamoelectric machine, where the tool support fixture can be used for supporting and adjusting the tool delivery mechanism. A sleeve mechanism is attached to the tool support fixture, and the sleeve mechanism is disposed around a portion of the tool delivery mechanism. The apparatus is adapted to service the component of the dynamoelectric machine in-situ.

Abstract: A system for repairing a component is provided. The system includes an electrochemical machining unit and a tool delivery apparatus. The electrochemical machining unit includes an electrode, a power supply configured to energize the electrode and the component, and a machining solution source configured to pass a machining solution between the component and the electrode. The tool delivery apparatus includes a number of linkage elements pivotally connected and configured to carry the electrode. The tool delivery apparatus further includes an actuation element configured to actuate the linkage elements to move the electrode. A tool delivery apparatus and a method for repairing a component disposed within a case are also presented.

Abstract: An apparatus and method are provided for servicing a dynamoelectric machine component. The apparatus includes a tool delivery mechanism adapted for delivering a tool to a desired location in the dynamoelectric machine, and a tool support fixture adapted to be secured onto the body of the dynamoelectric machine, where the tool support fixture can be used for supporting and adjusting the tool delivery mechanism. A sleeve mechanism is attached to the tool support fixture, and the sleeve mechanism is disposed around a portion of the tool delivery mechanism. The apparatus is adapted to service the component of the dynamoelectric machine in-situ.

Abstract: A voice recognition server 200 has a voice reception unit 202 which receives a voice from a telephone equipment 100, a model storage unit 208 which stores at least one acoustic model and at least one language model used for converting the voice received by the voice reception unit 202, to character data, a number decision unit 204 which decides a current calling number and a second number of the telephone equipment 100, a model selection unit 206 which selects an acoustic model stored in the model storage unit 208, based on the current calling number and the second number, and which selects a language model stored in the model storage unit 208, based on the current calling number, and a voice recognition unit 210 which converts the voice received by the voice reception unit 202, to character data, based on the acoustic model and the language model selected by the model selection unit 206.

Abstract: A voice recognition server 200 has a voice reception unit 202 which receives a voice from a telephone equipment 100, a model storage unit 208 which stores at least one acoustic model and at least one language model used for converting the voice received by the voice reception unit 202, to character data, a number decision unit 204 which decides a current calling number and a second number of the telephone equipment 100, a model selection unit 206 which selects an acoustic model stored in the model storage unit 208, based on the current calling number and the second number, and which selects a language model stored in the model storage unit 208, based on the current calling number, and a voice recognition unit 210 which converts the voice received by the voice reception unit 202, to character data, based on the acoustic model and the language model selected by the model selection unit 206.

Abstract: An object of the present invention is to enable optimal clustering for many types of noise data and to improve the accuracy of estimation of a speech model sequence of input speech. Noise is added to speech in accordance with noise-to-signal ratio conditions to generate noise-added speech (step S1), the mean value of speech cepstral is subtracted from the generated, noise-added speech (step 2), a Gaussian distribution model of each piece of noise-added speech is created (step S3), the likelihoods of the pieces of noise-added speech are calculated to generate a likelihood matrix (step S4) to obtain a clustering result. An optimum model is selected (step S7) and linear transformation is performed to provide a maximized likelihood (step S8). Because noise-added speech is consistently used both in clustering and model learning, clustering for many types of noise data and an accurate estimation of a speech model sequence can be achieved.