Abstract: An electronic device, a presentation method for a decision-making process module and a non-volatile computer readable medium are provided. The electronic device includes a memory, a processor and a display. The processor generates or obtains a decision-making process module for determining a particular object. The display presents the decision-making process module. The decision-making process module includes a plurality of decision-making sub-processes and a plurality of decision-making blocks. The decision-making sub-processes verify and integrate the information about the particular object received from the source. The decision-making blocks are formed by arranging one or some of a plurality of decision-making sub-processes, and the decision-making process modules are formed by arranging the decision-making blocks.

Abstract: A method executed by a mobile communication device is provided. The method includes at least the following steps: connecting to a non-cellular network for communicating data traffic in a first channel; determining an idle timeslot ratio of the first channel used by the non-cellular network in a first period of time; and in response to the idle timeslot ratio in the first period of time being lower than a first threshold, switching the data traffic communication from the non-cellular network to a cellular network or another non-cellular network, or switching the data traffic communication from the first channel to a second channel used by the non-cellular network, or providing a notification to a user of the mobile communication device.

Abstract: Processes and systems are directed to training a neural network of an object recognition system. The processes and systems record video streams of people. Sequences of object images are extracted from each video stream, each sequence of object images corresponding to one of the people. A triplet comprising an anchor feature vector and a positive feature vector of the same object and a negative feature vector of a different object of feature vectors are formed for each sequence of object images. The anchor, positive, and negative feature vectors of each triplet are separately input to the neural network to compute corresponding output anchor, positive, and negative vectors. A triplet loss function value computed from the output anchor, positive, and negative vectors. When the triplite loss function value is greater than a threshold, the neural network is retrained using the anchor and positive feature vectors of the sequences of object images.

Abstract: A motorized window treatment system (e.g., a motorized blind system) may include a headrail, a covering material extending from the headrail, a battery compartment coupled to the headrail, a valance clip comprising a stationary portion coupled to the headrail and a movable portion configured to be coupled to the stationary portion such that the movable portion is movable from a first position to a second position, and a valance configured to be coupled to the movable portion of the valance clip. When the movable portion is in the first position, the valance may cover the battery compartment. When the movable portion is in the second position, the battery compartment may be at least partially exposed. The battery compartment may be configured to hold at least one battery for powering a drive unit of the motorized window treatment system.

Abstract: A multicomponent alloy coating is provided. The multicomponent alloy coating includes a hard layer and a plurality of nickel-based particles dispersed in the hard layer. The composition of the multicomponent alloy coating is represented by the following formula (I): AldCoeCrgFehNiiSijCkOm ??formula (I), wherein 1<d<2, 0.5<e<0.8, 2<g<3.2, 0.05<h<0.3, 2<i<3, j=1, k?0, m?0, and iron is present in the amount of less than 3 wt % of the composition of the multicomponent alloy coating.

Abstract: Processes and systems are directed to training a neural network of an object recognition system. The processes and systems record video streams of people. Sequences of object images are extracted from each video stream, each sequence of object images corresponding to one of the people. A triplet comprising an anchor feature vector and a positive feature vector of the same object and a negative feature vector of a different object of feature vectors are formed for each sequence of object images. The anchor, positive, and negative feature vectors of each triplet are separately input to the neural network to compute corresponding output anchor, positive, and negative vectors. A triplet loss function value computed from the output anchor, positive, and negative vectors. When the triplite loss function value is greater than a threshold, the neural network is retrained using the anchor and positive feature vectors of the sequences of object images.

Abstract: The present disclosure is directed to a formulations of cements and methods for bonding dissimilar materials. The formulations and methods can bond a Non-polyvinyl chloride (PVC) containing first polyolefin that is amorphous or has low crystallinity to a second material that is a rigid material or a hard PVC. The methods and formulations can work by co-dissolution at an interface, or activation of a one of the materials prior to bonding.

Abstract: An electronic device, a presentation method for a decision-making process module and a non-volatile computer readable medium are provided. The electronic device includes a memory, a processor and a display. The processor generates or obtains a decision-making process module for determining a particular object. The display presents the decision-making process module. The decision-making process module includes a plurality of decision-making sub-processes and a plurality of decision-making blocks. The decision-making sub-processes verify and integrate the information about the particular object received from the source. The decision-making blocks are formed by arranging one or some of a plurality of decision-making sub-processes, and the decision-making process modules are formed by arranging the decision-making blocks.

Abstract: The present disclosure relates to a wafer leveling device which comprises a carrier module, a fixture module and a dynamic module. A wafer, which is conveyed to and stays above a claw component of the carrier module by a robotic arm, is further carried by the lifted claw component for a continuous ascent until the wafer is contacted by a ring component of the fixture module; the clamp component of the fixture module releases the ring component; the claw component, the ring component and the wafer, all of which keep stabilized mutual positions, are lowered so that several protrudent structures on a base component of the carrier module contact the wafer; the claw component, the ring component and the wafer which completes a manufacturing process are lifted; the carrier module and the wafer are lowered with the clamp components stabilizing the ring component.

Abstract: A composition and a coating structure applying with the same are provided. The composition includes 3 wt % to less than 15 wt % of Al, 10 wt % to less than 30 wt % of Cr, higher than 0 wt % to 15 wt % of O, higher than 0 wt % to 15 wt % of Y, and the remainder being at least one of Co or Ni.

Abstract: A semiconductor device includes a substrate having a memory region and a peripheral region defined thereon, wherein the peripheral region comprises at least one transistor, the memory region comprises a plurality of memory cells, each memory cell comprises at least one gate structure and a capacitor structure, a mask layer disposed on the capacitor structure in the memory region, and a dielectric layer disposed on the substrate within the peripheral region, wherein a top surface of the dielectric layer is aligned with a top surface of the mask layer.

Abstract: A method for combining data values through associative operations. The method includes, with a processor, arranging any number of data values into a plurality of columns according to natural parallelism of the associative operations and reading each column to a register of an individual processor. The processors are directed to combine the data values in the columns in parallel using a first associative operation. The results of the first associative operation for each column are stored in a register of each processor.

Abstract: The present disclosure relates to a laser marking device and a method thereof. The laser marking device comprises a laser system, a wafer leveling system, a first imaging system and a mobile system: the wafer leveling system carries and levels a warped wafer to be processed; the mobile system underneath properly adjusts a position of the wafer; the first imaging system detects the wafer to recognize a product category and positioning status; the laser system underneath labels laser marks on the wafer; all wafers are marked in the cyclic process.

Abstract: The present disclosure relates to a wafer leveling device which comprises a carrier module, a fixture module and a dynamic module. A wafer, which is conveyed to and stays above a claw component of the carrier module by a robotic arm, is further carried by the lifted claw component for a continuous ascent until the wafer is contacted by a ring component of the fixture module; the clamp component of the fixture module releases the ring component; the claw component, the ring component and the wafer, all of which keep stabilized mutual positions, are lowered so that several protrudent structures on a base component of the carrier module contact the wafer; the claw component, the ring component and the wafer which completes a manufacturing process are lifted; the carrier module and the wafer are lowered with the clamp components stabilizing the ring component.

Abstract: A door lock (10) includes a driving device (30) having an outer spindle (36) and an outer handle (38) mounted to the outer spindle (36). A mounting member (56) is rotatably mounted in a compartment (46) of the outer handle (38). A positioning member (72) is movably received in a groove (54) of the outer handle (38). When a lock core (74) disengages from the mounting member (56), the mounting member (56) cannot move along a longitudinal axis but can pivot about a pivotal axis relative to the outer handle (38) to change a positional relationship between first and second holes (64, 66) of the mounting member (56). After the lock core (74) engages with the mounting member (56), the mounting member (56) cannot pivot about the pivotal axis relative to the outer handle (38).

Abstract: Methods, database management systems (“DBMS”) and computer-readable media are provided for processing unbounded stream data using a traditional DBMS. Execution of a query that includes a data stream as a data source may be initiated. Tuples may be processed in accordance with the query as the tuples are received through the data stream until an indication is received that execution of the query should cease.

Abstract: A composition and a coating structure applying with the same are provided. The composition includes 3 wt % to less than 15 wt % of Al, 10 wt % to less than 30 wt % of Cr, higher than 0 wt % to 15 wt % of O, higher than 0 wt % to 15 wt % of Y, and the remainder being at least one of Co or Ni.

Abstract: A processing method and a processing apparatus for a single-channel convolution layer, and a processing method and apparatus for a multi-channel convolution layer are provided. The processing method for a single-channel convolution layer includes following steps. Data to be processed is divided into a plurality of data blocks, the plurality of data blocks are read by a plurality of graphic processor thread groups into local memories of the plurality of graphic processor thread groups, a plurality of filters are read by the plurality of graphic processor thread groups into the local memories of the plurality of graphic processor thread groups and convolutions of corresponding data points in the plurality of data blocks and the plurality of filters simultaneously are calculated by a plurality of threads in the plurality of graphic processor thread groups.

Abstract: One embodiment is a method that uses MapReduce and Relation Valued Functions (RVFs) with parallel processing to search a database and obtain search results.

Abstract: A processing method and a processing apparatus for a single-channel convolution layer, and a processing method and apparatus for a multi-channel convolution layer are provided. The processing method for a single-channel convolution layer includes following steps. Data to be processed is divided into a plurality of data blocks, the plurality of data blocks are read by a plurality of graphic processor thread groups into local memories of the plurality of graphic processor thread groups, a plurality of filters are read by the plurality of graphic processor thread groups into the local memories of the plurality of graphic processor thread groups and convolutions of corresponding data points in the plurality of data blocks and the plurality of filters simultaneously are calculated by a plurality of threads in the plurality of graphic processor thread groups.