Abstract: A graphical event model method, system, and computer program product, include learning statistical and causal co-occurrence relationships among multiple event-types of data, requiring no complex input, and generating a representation that explains a mutual dynamic of the multiple event-types in a form of a graphical event model.

Abstract: Analyzing complex systems by receiving labeled event data describing events occurring in association with a complex system, generating a first machine learning model according to the distribution of labeled event data, receiving state variable transition data describing state variable transitions occurring in association with a complex system, training a second machine learning model according to a combination of a distribution of state variable transitions and the first machine learning model, and using the second machine learning model to predict the effects of events upon state variables within the complex system according to new state variable transition and new labeled event data.

Abstract: The present disclosure provides a scanning probe, a method and an apparatus for manufacturing the scanning probe. The scanning probe includes a base and a micro-tip disposed on an end of the base, wherein at least a section of the micro-tip comprises a lateral surface with a concavely curved generatrix. In the method, an end of a probe precursor is immersed in a corrosive solution by having a length direction of the probe precursor inclined with a liquid surface of the corrosive solution. The probe precursor is corroded by the corrosive solution while a corrosion current of the corroding is monitored. The probe precursor is moved away from the corrosive solution after a magnitude of the corrosion current has a plunge. The apparatus includes a container containing the corrosive solution, and a driving device configured to move the probe precursor in the container through a fastener.

Abstract: A computer-implemented method is presented for learning relationships between multiple event types by employing a multi-channel neural graphical event model (MCN-GEM). The method includes receiving, by a computing device, time-stamped, asynchronous, irregularly spaced event epochs, generating, by the computing device, at least one fake epoch between each inter-event interval, wherein fake epochs represent negative evidence, feeding the event epochs and the at least one fake epoch into long short term memory (LSTM) cells, computing hidden states for each of the event epochs and the at least one fake epoch, feeding the hidden states into spatial and temporal attention models, and employing an average attention across all event epochs to generate causal graphs representing causal relationships between all the event epochs.

Abstract: The present disclosure provides a scanning probe, a method and an apparatus for manufacturing the scanning probe. The scanning probe includes a base and a micro-tip disposed on an end of the base, wherein at least a section of the micro-tip comprises a lateral surface with a concavely curved generatrix. In the method, an end of a probe precursor is immersed in a corrosive solution by having a length direction of the probe precursor inclined with a liquid surface of the corrosive solution. The probe precursor is corroded by the corrosive solution while a corrosion current of the corroding is monitored. The probe precursor is moved away from the corrosive solution after a magnitude of the corrosion current has a plunge. The apparatus includes a container containing the corrosive solution, and a driving device configured to move the probe precursor in the container through a fastener.

Abstract: A graphical event model method, system, and computer program product, include learning statistical and causal co-occurrence relationships among multiple event-types of data, requiring no complex input, and generating a representation that explains a mutual dynamic of the multiple event-types in a form of a graphical event model.

Abstract: A method of discovering and presenting associations between events includes discovering causal association scores for pairs of events in an event dataset, and generating a sequence of events based on the causal association scores.

Abstract: The present disclosure provides a scanning probe, a method and an apparatus for manufacturing the scanning probe. The scanning probe includes a base and a micro-tip disposed on an end of the base, wherein at least a section of the micro-tip comprises a lateral surface with a concavely curved generatrix. In the method, an end of a probe precursor is immersed in a corrosive solution by having a length direction of the probe precursor inclined with a liquid surface of the corrosive solution. The probe precursor is corroded by the corrosive solution while a corrosion current of the corroding is monitored. The probe precursor is moved away from the corrosive solution after a magnitude of the corrosion current has a plunge. The apparatus includes a container containing the corrosive solution, and a driving device configured to move the probe precursor in the container through a fastener.

Abstract: The present disclosure provides a tip-enhanced Raman spectroscope system. The system includes a laser emitting unit, a laser excitation unit, a first dichroic beam splitter, a first Raman spectrometer, and a confocal detecting unit. The laser excitation unit includes a sample stage and a first scanning probe. The sample stage is configured to have a sample disposed thereon such that a first incident laser beam emitted from the laser emitting unit is transmitted to the sample to excite first scattered light. The first dichroic beam splitter is configured to split a first Raman scattered light from the first Rayleigh scattered light. The first Raman spectrometer is disposed on a first Raman optical path of the first Raman scattered light. The confocal detecting unit is disposed on a first Rayleigh optical path of the first Rayleigh scattered light to image the sample.

Abstract: The disclosure provides a method and an apparatus for determining coping capability boundary information of an unmanned vehicle and an electronic device. A set of indicator combination for evaluating a coping capability of an unmanned vehicle to be tested in a preset driving scenario is obtained, where the indicator combination includes at least one indicator item and an expected value range of the indicator item; historical driving behavior information of the unmanned vehicle to be tested is obtained according to a scenario feature corresponding to the preset driving scenario and the indicator item; and coping capability boundary information corresponding to the indicator combination of the unmanned vehicle to be tested in the preset driving scenario is obtained according to the historical driving behavior information, which realizes the coping capability boundary of the unmanned vehicle corresponding to the indicator combination that need to be tested.

Abstract: A keypad includes a base, an actuator, a first and second elastic member and a pivotal mechanism. The base has a through hole. The actuator is located in through hole to be moved between initial position and pressed position. The first elastic member is connected between the base and the actuator. The pivotal mechanism is pivotably and linearly movably disposed on the actuator to be moved between withdrawn position and protruding position. The second elastic member is connected between the actuator and the pivotal mechanism. The base has stop block and recess and the pivotal mechanism has tooth. While the actuator is moved to the pressed position, the tooth is stopped by the stop block so that the pivotal mechanism is pivoted and then linearly moved to the withdrawn position, and then enters into the recess, enabling the pivotal mechanism to the protruding position and press a switch.

Abstract: An embodiment provides an electronic device, including: a wireless communication unit; and a processor operatively coupled to the wireless communication unit; and a memory that stores instructions executable by the processor to: scan and acquire wireless device signal data; determine, based on the wireless device signal data, that the electronic device is within a preset range of a wireless device; and determine a geographic position of the electronic device based on the electronic device being within the preset range. Other aspects are described and claimed.

Abstract: A keypad includes a base, an actuator, a first and second elastic member and a pivotal mechanism. The base has a through hole. The actuator is located in through hole to be moved between initial position and pressed position. The first elastic member is connected between the base and the actuator. The pivotal mechanism is pivotably and linearly movably disposed on the actuator to be moved between withdrawn position and protruding position. The second elastic member is connected between the actuator and the pivotal mechanism. The base has stop block and recess and the pivotal mechanism has tooth. While the actuator is moved to the pressed position, the tooth is stopped by the stop block so that the pivotal mechanism is pivoted and then linearly moved to the withdrawn position, and then enters into the recess, enabling the pivotal mechanism to the protruding position and press a switch.

Abstract: An annotation retrieval module may be configured to retrieve annotations added to sample data, the annotations having been added according to an annotation rule. An analysis tool may be configured to create a logical schema and a configuration file from the retrieved annotations, according to the annotation rule. The logic schema may represent a tree structure containing one or more data elements corresponding to the sample data, and the configuration file may define one or more operations for adding DFDL annotations into the logic schema. A DFDL schema generator may be configured to generate a DFDL schema for the sample data according to the logic schema and the configuration file.

Abstract: In an embodiment, a method includes associating a user interaction with a respective command of a library of commands of an application run by a processor. The user interactions are inputted to a graphical user interface (GUI) presented by the application to a user, for example, at a display. The method further includes identifying each of the user interactions with a library of commands of the GUI presented by the application by assigning each user interaction an event identification. The method further includes, in response to one of the event identifications, modifying a dimension of the plurality of user interactions. The method further includes adapting the GUI of the application based on the categorization by presenting command interfaces associated with user interactions predicted by the dimension in the adapted GUI.