Abstract: Some embodiments provide a method for configuring a network to bridge data messages between a hardware-implemented L2 overlay network segment and a software-implemented L2 overlay network segment. The method identifies a host computer on which a logical network endpoint connected to the software-implemented overlay executes. The hardware-implemented L2 overlay connects at least a first set of network endpoints located in a first physical network zone and connected to a first L2 network segment and a second set of network endpoints located in a second physical network zone and connected to a second L2 network segment. The identified host computer is located in the first physical network zone. The method configures a forwarding element executing on the host computer to bridge data messages between the logical network endpoint and (i) the first set of network endpoints and (ii) the second set of network endpoints.

Abstract: Some embodiments provide a method for configuring a network to bridge data messages between a logical overlay network layer 2 (L2) segment and a physical L2 segment. The method identifies each host computer in the network on which at least one logical network endpoint connected to the logical overlay network L2 segment executes. For each identified host computer, the method configures a forwarding element executing on the identified host computer to bridge (i) data messages sent from the logical network endpoints executing on the identified host computer to network endpoints connected to the physical L2 segment and (ii) data messages sent from network endpoints connected to the physical L2 segment, executing on the identified host computer and on other host computers in the network, to the logical network endpoints executing on the identified host computer.

Abstract: The techniques described herein relate to methods and systems for three-dimensional (3D) inspection using deep learning model pre-trained with two-dimensional (2D) images. The techniques include transforming a 3D representation (e.g., captured 3D point cloud, 3D profiles, meshes, voxels) to a 2D map, which can be input to a deep learning model pre-trained with 2D images. The 2D map includes elements disposed in an array. Each element includes a vector of a number of geometric features. Such a configuration enables the 2D map to be in a structure acceptable by the 2D deep learning model. The 2D deep learning model generates an output based on the 2D map and provides the output to a subsystem for generating an inspection result. The inspection result can have a 3D result such as a surface area and/or volume.

Abstract: A titanium silicalite molecular sieve has a micropore specific surface area of 320-500 m2/g, a micropore volume of 0.1-0.4 cm3/g, a mesopore specific surface area of 50-100 m2/g, a mesopore volume of 0.075-0.1 cm3/g, and a particle size of 100-250 nm. Its micropore specific surface area accounts for 50-90% of the total specific surface area. A catalyst contains the titanium silicalite molecular sieve carrier and is loaded with nano-gold particles. The catalyst has a micropore volume of 0.06-0.4 cm3/g and a particle size of 100-250 nm. The catalyst is prepared by subjecting the titanium silicalite molecular sieve to an alkaline treatment with an aqueous aliphatic amine solution and then loading same with nano-gold particles. The catalyst is used for an olefin epoxidation reaction, a cycloolefin epoxidation reaction, a phenol hydroxylation reaction, and a cyclohexanone ammoximation reaction.

Abstract: This invention provides a system and method that efficiently detects objects imaged using a 3D camera arrangement by referencing a cylindrical or spherical surface represented by a point cloud, and measures variant features of an extracted object including volume, height, and center of mass, bounding box, and other relevant metrics. The system and method, advantageously, operates directly on unorganized and un-ordered points, requiring neither a mesh/surface reconstruction nor voxel grid representation of object surfaces in a point cloud. Based upon a cylinder/sphere reference model, an acquired 3D point cloud is flattened. Object (blob) detection is carried out in the flattened 3D space, and objects are converted back to the 3D space to compute the features, which can include regions that differ from the regular shape of the cylinder/sphere. Downstream utilization devices and/or processes, such as part reject mechanism and/or robot manipulators can act on the identified feature data.

Abstract: A system and method for estimating a 3D box model of a generally cuboidal 3D object imaged by 3D vision system, which provides a 3D image having a set of 3D points representing surfaces of the cuboidal 3D object to a processor is provided. An input process provides an approximate box as a region of interest (ROI), to the processor, the ROI defining a search volume within the 3D image. An identification process identifies the 3D points that are within the search volume. A coarse estimation process estimates 3D box dimensions that approximate a box shape of the cuboidal object based upon the identified 3D points. A refinement process refines the coarse box shape by processing the 3D points based on the 3D box dimensions that correspond to each of a plurality of imaged faces of the cuboidal object to derive an estimated result for the cuboidal object.

Abstract: A microreactor has a plurality of mixing units connected in sequence. Each of the mixing units has a housing in which a flow chamber is formed. An inlet portion and an outlet portion formed on two opposite ends of each mixing unit along the longitudinal direction, respectively, are in communication with the flow chamber. The mixing unit also has a first blocking portion centrally arranged within said flow chamber along a lateral direction perpendicular to the longitudinal direction, and between the inlet portion and the outlet portion, so that a first advancing passage, a second advancing passage and a mixing region are formed within the flow chamber. At downstream ends of said first passage and said second advancing passage, the microreactor is further provided with auxiliary flow-guiding portions protruding from a first side profile and a second side profile respectively and extending towards but spaced apart from each other.

Abstract: Provided are an experimental apparatus and method for regulating and controlling the Zeeman transition of magnetic resonance. The method includes: generating a constant background magnetic field by using a magnetic shielding cylinder, a background magnetic field coil, and a constant current source, and controlling a Larmor precession frequency corresponding to the background magnetic field to be equal to a frequency of a sinusoidal signal output by a radio frequency signal source; adjusting the amplitude of a signal output by a radio frequency signal source of a pump-probe atomic magnetometer to set a radio frequency signal to be a ?/2 pulse or a ? pulse; and then controlling the radio frequency signal source to output a series of sinusoidal radio frequency pulse strings having the same initial phase. The Zeeman transition of magnetic resonance is regulated and controlled by adjusting the time interval between the radio frequency pulse signals.

Abstract: An oxygen bleaching method of pulp includes the steps of: adding a solution formulated by a magnesium salt and an activator to an unbleached chemical pulp, stirring to be mixed well, and bleaching by introducing oxygen. The activators are nano zero-valent metals that are conventional, low-cost, and recyclable. These activators can activate low-concentration oxygen at low-temperature in neutral aqueous solution to efficiently generate peroxide anion radicals, so as to promote the generation of hydroperoxide anions and peroxide ions, achieving high efficient delignification. The whole process does not generate waste water, the oxygen consumption is only 50-85% of the original process, the yield is increased by 1.5-2.8% compared with the original system, the pulp brightness is increased to 28-32° SR, and the magnesium salt can be recycled and reused.

Abstract: In some embodiments, a method adds a specific route for an IP address that is associated with a first workload into a routing table for a first network device in a first site in response to the first workload being migrated from a second site to the first site. The first network device receives a packet from a second workload for the first workload and determines that a destination of the packet matches the specific route in the routing table. The method routes the packet from the second workload to the first workload using the specific route in the routing table without sending the packet to the second site.

Abstract: Embodiments of the disclosure provide a semiconductor structure and a method for manufacturing the same. The method includes the following operations. A substrate is provided, in which the substrate includes a device region and an alignment region. A layer stack covering the device region and the alignment region is formed on the substrate, in which the layer stack at least includes a first conductive layer as a bottom layer of the layer stack, and a material of the first conductive layer includes a semiconductor material. The layer stack is etched to respectively form first trenches in the device region and second trenches in the alignment region which penetrate through the layer stack, in which the second trenches and the layer stack located between the second trenches form alignment marks.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to determining a two-dimensional (2D) profile of a portion of a three-dimensional (3D) point cloud. A 3D region of interest is determined that includes a width along a first axis, a height along a second axis, and a depth along a third axis. The 3D points within the 3D region of interest are represented as a set of 2D points based on coordinate values of the first and second axes. The 2D points are grouped into a plurality of 2D bins arranged along the first axis. For each 2D bin, a representative 2D position is determined based on the associated set of 2D points. Each of the representative 2D positions are connected to neighboring representative 2D positions to generate the 2D profile.

Abstract: Some embodiments provide a method for deploying edge forwarding elements in a public or private software defined datacenter (SDDC). For an entity, the method deploys a default first edge forwarding element to process data message flows between machines of the entity in a first network of the SDDC and machines external to the first network of the SDDC. The method subsequently receives a request to allocate more bandwidth to a first set of the data message flows entering or exiting the first network of the SDDC. In response, the method deploys a second edge forwarding element to process the first set of data message flows of the entity in order to allocate more bandwidth to the first set of the data message flows, while continuing to process a second set of data message flows of the entity through the default first edge node.

Abstract: Some embodiments provide policy-driven methods for deploying edge forwarding elements in a public or private SDDC for tenants or applications. For instance, the method of some embodiments allows administrators to create different traffic groups for different applications and/or tenants, deploys edge forwarding elements for the different traffic groups, and configures forwarding elements in the SDDC to direct data message flows of the applications and/or tenants through the edge forwarding elements deployed for them. The policy-driven method of some embodiments also dynamically deploys edge forwarding elements in the SDDC for applications and/or tenants after detecting the need for the edge forwarding elements based on monitored traffic flow conditions.

Abstract: Some embodiments provide a method for deploying edge forwarding elements in a public or private software defined datacenter (SDDC). For an entity, the method deploys a default first edge forwarding element to process data message flows between machines of the entity in a first network of the SDDC and machines external to the first network of the SDDC. The method subsequently receives a request to allocate more bandwidth to a first set of the data message flows entering or exiting the first network of the SDDC. In response, the method deploys a second edge forwarding element to process the first set of data message flows of the entity in order to allocate more bandwidth to the first set of the data message flows, while continuing to process a second set of data message flows of the entity through the default first edge node.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to generate point cloud histograms. A one-dimensional histogram can be generated by determining a distance to a reference for each 3D point of a 3D point cloud. A one-dimensional histogram is generated by adding, for each histogram entry, distances that are within the entry's range of distances. A two-dimensional histogram can be determined by generating a set of orientations by determining, for each 3D point, an orientation with at least a first value for a first component and a second value for a second component. A two-dimensional histogram can be generated based on the set of orientations. Each bin can be associated with ranges of values for the first and second components. Orientations can be added for each bin that have first and second values within the first and second ranges of values, respectively, of the bin.

Abstract: A system and method for estimating dimensions of an approximately cuboidal object from a 3D image of the object acquired by an image sensor of the vision system processor is provided. An identification module, associated with the vision system processor, automatically identifies a 3D region in the 3D image that contains the cuboidal object. A selection module, associated with the vision system processor, automatically selects 3D image data from the 3D image that corresponds to approximate faces or boundaries of the cuboidal object. An analysis module statistically analyzes, and generates statistics for, the selected 3D image data that correspond to approximate cuboidal object faces or boundaries. A refinement module chooses statistics that correspond to improved cuboidal dimensions from among cuboidal object length, width and height. The improved cuboidal dimensions are provided as dimensions for the object. A user interface displays a plurality of interface screens for setup and runtime operation.

Abstract: System and method of providing secured coupon redemption with reward distribution in a blockchain (BC) network. A merchant pays for coupon coins to the BC network. When a consumer attempts to redeem a coupon associated with a purchase order, both the merchant and the consumer digitally sign a redemption request and send to the BC network for validation. The request may contain an encrypted order, an encrypted consumer key and an encrypted consumer key, and both signatures. Upon successful validation, the BC network can execute a smart contract to deduct the coupon coin balance and issue reward in the form of BC ownership coin to involved parties.

Abstract: Some embodiments provide policy-driven methods for deploying edge forwarding elements in a public or private SDDC for tenants or applications. For instance, the method of some embodiments allows administrators to create different traffic groups for different applications and/or tenants, deploys edge forwarding elements for the different traffic groups, and configures forwarding elements in the SDDC to direct data message flows of the applications and/or tenants through the edge forwarding elements deployed for them. The policy-driven method of some embodiments also dynamically deploys edge forwarding elements in the SDDC for applications and/or tenants after detecting the need for the edge forwarding elements based on monitored traffic flow conditions.