Abstract: Techniques for grouping and labeling Internet of Things (IoT) devices are disclosed. A set of raw events associated with a first IoT device is identified. A context of the first IoT device is identified, and used to enrich at least some of the raw events. At least some of the raw events are aggregated. A context-based IoT device grouping model is generated based at least in part on the aggregated events and events associated with a second IoT device in operation. The model is applied to determine that a third IoT device belongs to a particular group. A deviation by the third IoT device from group behavior is detected and an alert is generated in response.

Abstract: A rhizome-growth monitoring device of a clonal plate is provided, including a supporting frame. A first adjustment rack is fixed above a side of the supporting frame, a side end of which is movably connected to a second adjustment rack. A connection sleeve is movably connected to a bottom end of the second adjustment rack. A lifting cylinder is fixed in the connection sleeve. A camera group is fixed to the lifting cylinder through a connection plate. A rhizome growth monitoring sleeve is fixed at a bottom end of the connection plate, and includes an outer sleeve, an inner sleeve, and a radar monitoring head. The outer sleeve is fixed onto the bottom end of the connection plate. The inner sleeve is screwed to an inner side of the outer sleeve. The radar monitoring head is installed in the inner sleeve and close to a bottom surface thereof.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for automated foodservice are described. An example method includes receiving one or more images from one or more cameras capturing a food container comprising a plurality of compartments; determining, using a first machine learning model based on the one or more images, a user action comprising a user taking food from a first compartment of the plurality of compartments; receiving a plurality of pieces of weight sensor data from a plurality of weight sensors coupled to a frame hosting the food container; determining, using a second machine learning model based on the plurality of pieces of weight sensor data, a second compartment of the plurality of compartments; in response to the first compartment being the same as the second compartment, displaying the weight and the food information of the food taken by the user.

Abstract: A rhizome-growth monitoring device of a clonal plate is provided, including a supporting frame. A first adjustment rack is fixed above a side of the supporting frame, a side end of which is movably connected to a second adjustment rack. A connection sleeve is movably connected to a bottom end of the second adjustment rack. A lifting cylinder is fixed in the connection sleeve. A camera group is fixed to the lifting cylinder through a connection plate. A rhizome growth monitoring sleeve is fixed at a bottom end of the connection plate, and includes an outer sleeve, an inner sleeve, and a radar monitoring head. The outer sleeve is fixed onto the bottom end of the connection plate. The inner sleeve is screwed to an inner side of the outer sleeve. The radar monitoring head is installed in the inner sleeve and close to a bottom surface thereof.

Abstract: Techniques for grouping and labeling Internet of Things (IoT) devices are disclosed. A set of raw events associated with a first IoT device is identified. A context of the first IoT device is identified, and used to enrich at least some of the raw events. At least some of the raw events are aggregated. A context-based IoT device grouping model is generated based at least in part on the aggregated events and events associated with a second IoT device in operation. The model is applied to determine that a third IoT device belongs to a particular group. A deviation by the third IoT device from group behavior is detected and an alert is generated in response.

Abstract: Correlating Internet of Things (IoT) security events is disclosed. A set of security events is received. A graph is generated, where nodes of the graph correspond to at least some of the received security events in the set. The edges in the graph correspond to identifiable patterns of correlation. A determination of whether or not the generated graph matches a prebuilt scenario is determined and a remedial action is taken in response to the determination.

Abstract: Embodiments of the present application provide a communication method, comprising: receiving, b a first access network device from a core network device, signaling destined for a terminal, wherein the terminal is in a radio resource control (RRC) inactive mode; sending a first paging message to a second access network device for paging the terminal, wherein the first access network device and the second access network device are in same paging area; and receiving, from the second access network device, first indication information indicating that the terminal has connected to the second access network device. In the embodiments of the present application, after receiving the signaling destined for the terminal from the core network device, the first access network device can learn the terminal has connected to the second access network device, and therefore performs proper subsequent processing.

Abstract: A full probability-based seismic risk analysis method for a tunnel under fault dislocation comprises: evaluating a magnitude-frequency relationship of a fault; obtaining a probabilistic seismic risk curve of a fault dislocation; calculating a series of bending moments of a tunnel lining under different fault dislocations; obtaining a series of damage index values RM of the tunnel; obtaining a vulnerability model of the tunnel damaged by fault dislocation; calculating a probabilistic risk that the tunnel crossing the fault is damaged due to the dislocation of the active fault; obtaining a probability P that the damage state is equal to or higher than a certain damage state within a specified period; and using the results to guide the assessment of the seismic risk of the tunnel crossing the fault. Modeling and analysis can be performed according to the actual situation of the tunnel crossing the fault with different factors.

Abstract: A full probability-based seismic risk analysis method for a tunnel under fault dislocation comprises: evaluating a magnitude-frequency relationship of a fault; obtaining a probabilistic seismic risk curve of a fault dislocation; calculating a series of bending moments of a tunnel lining under different fault dislocations; obtaining a series of damage index values RM of the tunnel; obtaining a vulnerability model of the tunnel damaged by fault dislocation; calculating a probabilistic risk that the tunnel crossing the fault is damaged due to the dislocation of the active fault; obtaining a probability P that the damage state is equal to or higher than a certain damage state within a specified period; and using the results to guide the assessment of the seismic risk of the tunnel crossing the fault. Modeling and analysis can be performed according to the actual situation of the tunnel crossing the fault with different factors.

Abstract: The present invention provides a colored radiative cooler based on a Tamm structure, including a substrate on which metal film and dielectric layers A to G are sequentially provided from bottom to top, where the Tamm structure is formed from the metal film and the dielectric layers A to D; a distributed Bragg reflector is formed from the dielectric layers A to D; and a selective emitter is formed from the dielectric layers E to G. Compared to the conventional radiative cooler, the colored radiative cooler not only has better cooling performance, but it has a wide applications in many aspects such as aesthetics and decoration.

Abstract: Internet of Things (IoT) device application workload capture is disclosed. A target IoT device is selected. A flow associated with the target device is determined and tagged. Packets from the tagged flow are admitted into a ring buffer. An indication is received that an extraction should be performed on a portion of the packets included in the ring buffer.

Abstract: Techniques for establishing a risk score for Internet of Things (IoT) device parameters and acting in response thereto are disclosed. One or more data packets transmitted to or from an Internet of Things (IoT) device are analyzed to obtain event parameters. The event parameters are analyzed to determine a context of the IoT device. A behavior of the IoT device is determined based at least in part on the event parameters and the context. A progressive risk score is obtained for the IoT device. Subsequent to obtaining the progressive risk assessment score, the progressive risk assessment score is updated based at least in part on an analysis of one or more additional data packets.

Abstract: Techniques for establishing a risk score for Internet of Things (IoT) device parameters and acting in response thereto are disclosed. An applicable system includes IoT devices coupled to a progressive risk assessment system and a progressive risk alert engine. In a specific implementation, the system uses baseline risk, threat vectors, and behavioral risk to generate and update progressive risk scores associated with IoT devices in an IoT network.

Abstract: A terminal receives configuration information from a first access network device. The configuration information includes a paging area information that indicates a paging area for the terminal in a first mode. In the first mode, the terminal sends a first message to a second access network device when the terminal is in a cell that does not belong to the paging area. The first message includes a paging area update indication. The terminal then receives a connection establishment indication from the second access network device, and establishes a connection between the terminal and the second access network device. The terminal sends a second message to a core network device using the established connection between the terminal and the second access network device, the core network device releases a connection between the first access network device and the core network device established for the terminal in response to the second message.

Abstract: An infrared imaging unit. The infrared imaging unit includes an infrared detector and a heat insulation assembly, the heat insulation assembly being disposed on one side of the infrared detector, the heat insulation assembly being used to isolate a heat transfer in the infrared imaging unit to the infrared detector.

Abstract: Techniques for enforcing policies on Internet of Things (IoT) device communications are disclosed. Information associated with a network communication of an IoT device is received. The received information is used to determine a device profile, including a device type, to associate with the IoT device. A recommended security policy to be applied to the IoT device by a security appliance is generated.

Abstract: Techniques for performing Internet of Things (IoT) device identification are disclosed. Information associated with a network communication of an IoT device is received. A determination of one or more confidence scores that represent how well the received information matches respective one or more network behavior pattern identifiers is made. A determination is made that each one of the one or more determined confidence scores is below a threshold. In response to determining that each of the one or more determined confidence scores is below the threshold, a two-part classification process is performed, where a first portion includes an inline classification, and a second portion includes a subsequent verification of the inline classification. A result of the classification process is provided to a security appliance configured to apply a policy to the IoT device.

Abstract: Disclosed is an assembled shower device, that includes a hand-held type shower and a head portion shower. In the head portion shower is disposed a control mechanism. The control mechanism is adapted to control open or close of a water channel of the hand-held type shower, such that the hand-held type shower and the head portion shower act in cooperation in the following two approaches: the hand-held type shower is disposed on the head portion shower, to bring the control mechanism into action, to close the water channel of the hand-held type shower; and the hand-held type shower is separated from the head portion shower, to bring the control mechanism into action, to open the water channel of the hand-held type shower.

Abstract: A system and method for performing automated learning of an Internet-of-Things (IoT) application are disclosed. The automated learning is based on generation of application-agnostic events, allowing the automated learning to be performed without prior knowledge of the IoT application.

Abstract: A communication method provided in embodiments of this application is a method for establishing an RRC connection between a terminal and a RAN, and the establishment of the RRC connection includes first RRC connection establishment and second RRC connection establishment. The first RRC connection establishment is a wireless RRC connection between the terminal and a first RAN network element, and the second RRC connection establishment is a wireless or wired RRC connection between the first RAN network element and a second RAN network element.