Abstract: The present invention discloses a centrifugal intelligent construction device for excavating concrete structure: a push-type excavation equipment, excavating rocks and soil, and collecting crushed stones, sand, soil, and water; a centrifugal screening equipment, performing centrifugal screening and classification collection on the collected crushed stones, sand, soil, and water; the intelligent batching equipment, which matches the classified crushed stones, sand, soil, and water according to their quality and fineness, adding cementitious materials, auxiliary materials, additives, and activators, and mixing them to obtain a mixed wet material; a centrifugal printing equipment, pumping and extruding the mixed wet materials, and using a centrifugal rotating outer cylinder to print and compact them into dense shape; an intelligent reinforcement equipment, integrating reinforcements between the layers of printed concrete strips by using the wall mounted laying, positioning and inserting reinforcements inside the

Abstract: The present invention discloses a 3D weaving and printing integrated structure construction equipment, comprising: a printing matrix material preparation device, processing the printing matrix raw materials and then delivering them to a printing matrix extrusion device; a printing matrix extrusion device, having the functions of promoting extrusion and lamination molding, and printing a matrix; a wire pushing and spatial anchoring device, using a nail-shooting to position and tow a rope/wire/cable for continuously weaving layer by layer stacking along the vertical direction; an electromagnetic guided shuttle dropping device, weaving the rope wire/cable material along the longitude and latitude directions; Aa locking device, positioning and fixing the rope/wire/cable woven along the longitude and latitude directions; a tensioning traction device, performing spatial multi-directional prestress tensioning on the rope/wire/cable woven along the longitude and latitude directions.

Abstract: Technical solutions are described for configuring a gateway in an internet of things (IoT) system. An example method includes receiving, by a gateway resolver, a request to access a management console of the IoT system, the request including access information associated with the gateway of the IoT system, the request being sent by an administration device. The method further includes determining, by the gateway resolver, an IP address of the gateway based on the access information. The method further includes obtaining, by the gateway resolver, a management console URL based on the IP address. The method further includes redirecting, by the gateway resolver, the administration device to the management console URL in response to the request.

Abstract: An approach is provided that receives, over a computer network, transaction data from a number of clients that are running an app. The approach generates association rules by inputting the transaction data to an association rule learning algorithm, such as an Apriori algorithm. Each association rule is based on a user transaction pattern and a desired result, and each association rule includes a generated confidence value that pertains to an expected performance of one of the steps included in the respective association rule. The app is then modified based on an analysis of the generated confidence values, with the app modification being directed towards improving one or more of the confidence values.

Abstract: The present disclosure relates to an apparatus for cutting substrate material, the apparatus including: a mounting frame; a base mounted to the mounting frame; an upper cutter device disposed on the mounting frame; and a substrate material clamp disposed on the upper cutter device and used to clamp substrate material, the substrate material clamp including a clamp body and a flattening member connected to the clamp body, and the flattening member being used to flatten the substrate material. In the above technical solution, the flattening member is provided on the lower surface of the substrate material clamp, and during the process that the substrate material clamp approaches the base, the flattening member flattens the curled substrate material, and thus the quality of the substrate material is improved.

Abstract: The present disclosure provides a magnetron sputtering equipment, including: a mesh shielding plate disposed in a vacuum chamber of the magnetron sputtering equipment; the vacuum chamber includes one or more coating chambers, and the mesh shielding plate is disposed on a sidewall within the coating chamber, which facilitates the smooth operation of the magnetron sputtering target, and avoids the gas pollution of the vacuum chamber, and the installation and disassembly are simple and fast. The present disclosure provides an important solution and approach for a production line of the magnetic sputtering equipment.

Abstract: A method and apparatus for deduplication of sensor data is described. In one embodiment, a method includes receiving a plurality of sensor packets P at a network gateway apparatus. Each packet Pi has a corresponding timestamp Ti. The method includes storing a subset of the plurality of received packets P? for a first period of time T1. The method also includes comparing each of the stored packets P?i to other stored packets P?j to determine an equivalence. In response to determining the equivalence of the stored packet P?i with P?j, the method includes forwarding only one of packet P?i or P?j to a destination.

Abstract: An approach is provided that receives transaction data from a client that is running an app. The received transaction data identifies a latest step performed by the client. The received transaction data is compared to rules that have been generated from previous inputs of transaction data to an association rule learning algorithm. Each of the rules include steps and a confidence value corresponding to a last step of each of the respective rules. The approach identifies, based on the comparison, some rules where the latest step performed by the client is the penultimate step of the rules. One of the rules is selected based on the confidence value of the respective rule. The process then transmits a message to the client to perform the last step of the selected rule.

Abstract: Provided are techniques for automatically protecting portable and wearable electronic devices from potential hazards by predicting when such hazards may occur. Techniques may include monitoring a plurality of sensors on the mobile computing device; receiving, on the mobile computing device, context data from a plurality of context-service applications; selecting a set of device-protection policies based upon an availability of the plurality of sensors and the plurality of context-service applications, wherein the set of device-protection policies are configured to determine a level of risk to the mobile computing device based on sensor data received from the plurality of sensors and the context data; applying, the sensor data and the context data to the set of device-protection policies to generate the level of risk; and triggering a self-protection action if the level of risk exceeds a pre-determined threshold level of risk.

Abstract: Embodiments of the invention relate to selecting a path for navigation based on a node signature and a device signature. The node signature is directly related to node attribute data. The device signature is directly related to device data. A route is selected based on a match or near match of the node and device signatures.

Abstract: A method and apparatus for deduplication of sensor data is described. In one embodiment, a method includes receiving a plurality of sensor packets P at a network gateway apparatus. Each packet Pi has a corresponding timestamp Ti. The method includes storing a subset of the plurality of received packets P? for a first period of time T1. The method also includes comparing each of the stored packets P?i to other stored packets P?j to determine an equivalence. In response to determining the equivalence of the stored packet P?i with P?j, the method includes forwarding only one of packet P?i or P?j to a destination.

Abstract: Technical solutions are described for configuring a gateway in an IoT system. An example method includes providing, by an identification module, a user-interface (UI) access information to an administrative device. The method further includes receiving, by a setup module, from the administrative device, and via a management console generated based on the UI access information, setup data. The method further includes adjusting, by the setup module, one or more settings of the gateway according to the setup data.

Abstract: Technical solutions are described for accessing a management console of a gateway device in an internet of things (IoT) system. An example method includes receiving wirelessly, by an administrative device, access information for the management console of the gateway device. The method further includes receiving, by the administrative device, from a gateway resolver device, an address for the gateway device in response to sending the access information to the gateway resolver device. The method further includes accessing, by the administrative device, the management console of the gateway device using the address. The method further includes adjusting, by the administrative device, one or more settings of the gateway device using the IoT system.

Abstract: Technical solutions are described for configuring a gateway in an internet of things (IoT) system. An example method includes receiving, by a gateway resolver, a request to access a management console of the IoT system, the request including access information associated with the gateway of the IoT system, the request being sent by an administration device. The method further includes determining, by the gateway resolver, an IP address of the gateway based on the access information. The method further includes obtaining, by the gateway resolver, a management console URL based on the IP address. The method further includes redirecting, by the gateway resolver, the administration device to the management console URL in response to the request.

Abstract: Technical solutions are described for accessing a management console of a gateway device in an internet of things (IoT) system. An example method includes receiving wirelessly, by an administrative device, access information for the management console of the gateway device. The method further includes receiving, by the administrative device, from a gateway resolver device, an address for the gateway device in response to sending the access information to the gateway resolver device. The method further includes accessing, by the administrative device, the management console of the gateway device using the address. The method further includes adjusting, by the administrative device, one or more settings of the gateway device using the IoT system.

Abstract: Technical solutions are described for configuring a gateway in an IoT system. An example method includes providing, by an identification module, a user-interface (UI) access information to an administrative device. The method further includes receiving, by a setup module, from the administrative device, and via a management console generated based on the UI access information, setup data. The method further includes adjusting, by the setup module, one or more settings of the gateway according to the setup data.

Abstract: Embodiments of the invention relate to selecting a path for navigation based on a node signature and a device signature. The node signature is directly related to node attribute data. The device signature is directly related to device data. A route is selected based on a match or near match of the node and device signatures.

Abstract: Embodiments of the invention relate to selecting a path for navigation based on a node signature and a device signature. The node signature is directly related to node attribute data. The device signature is directly related to device data. A route is selected based on a match or near match of the node and device signatures.

Abstract: An approach is provided that receives, over a computer network, transaction data from a number of clients that are running an app. The approach generates association rules by inputting the transaction data to an association rule learning algorithm, such as an Apriori algorithm. Each association rule is based on a user transaction pattern and a desired result, and each association rule includes a generated confidence value that pertains to an expected performance of one of the steps included in the respective association rule. The app is then modified based on an analysis of the generated confidence values, with the app modification being directed towards improving one or more of the confidence values.

Abstract: An approach is provided that receives transaction data from a client that is running an app. The received transaction data identifies a latest step performed by the client. The received transaction data is compared to rules that have been generated from previous inputs of transaction data to an association rule learning algorithm. Each of the rules include steps and a confidence value corresponding to a last step of each of the respective rules. The approach identifies, based on the comparison, some rules where the latest step performed by the client is the penultimate step of the rules. One of the rules is selected based on the confidence value of the respective rule. The process then transmits a message to the client to perform the last step of the selected rule.