Abstract: Gap processing is utilized to reorder out-of-order submissions on the normal submission queue. The controller is able to process logical block addresses (LBAs) that are received through the use of a normal NVMe submission queue (SQ) and a private SQ. The normal NVMe SQ will store the LBAs of commands that may arrive out of sequential order for processing. The private SQ is used to store an LBA that is received after a gap is detected. The private SQ is only read after a command is received on the normal SQ that contains the current First Gap LBA. If no entry in the private SQ is sequentially after the first gap LBA, no processing of the private SQ occurs. If the pulled LBA is next, then the LBA will be processed by the data storage device. If the pulled LBA is not next, then the zone gap processing will send the LBA back to the private SQ.

Abstract: A valve device includes male and female housings having, respectively, exterior and interior annular channels. The male housing is receivable into the female housing such that the exterior and interior annular channels together define a toroidal tube. The male and female housings together define a fluid through-passage. There are first and second valve elements disposed, respectively, in the male and female housings. Ball locks are receivable into the toroidal tube. The ball locks axially lock the male and female housings together but permit rotation between the male and female housings. A lock includes first and second pin holes in, respectively, the male and female housings. The lock is engageable to rotationally lock the male and female housings when the first and second pin holes are in alignment.

Abstract: The subject matter herein provides for AI-based prediction of production defects in association with a production system, such as a semiconductor manufacturing machine. In one embodiment, a method begins by receiving production data from the production system. The production data typically comprises non-homogeneous machine parameters and maintenance data, quality test data, and product and process data. Using the production data, a neural network is trained to model an operation of a given machine in the production system. Preferably, the training involves multi-task learning, transfer learning (e.g., using knowledge obtained with respect to a machine of the same type as the given machine), and a combination of multi-task learning and transfer learning. Once the model is trained, it is associated with the given machine operating environment, wherein it is used to provide quality assurance predictions.

Abstract: In some embodiments, a method analyzes a first sample of a first audio signal to determine a first representation in a space. A plurality of second samples for a second audio signal is analyzed to determine a plurality of second representations in the space. The method compares the first representation and the plurality of second representations in the space to select a second representation. An offset is determined between the first sample and a second sample that is associated with the second representation. The offset is output.

Abstract: Gap processing is utilized to reorder out-of-order submissions on the normal submission queue. The controller is able to process logical block addresses (LBAs) that are received through the use of a normal NVMe submission queue (SQ) and a private SQ. The normal NVMe SQ will store the LBAs of commands that may arrive out of sequential order for processing. The private SQ is used to store an LBA that is received after a gap is detected. The private SQ is only read after a command is received on the normal SQ that contains the current First Gap LBA. If no entry in the private SQ is sequentially after the first gap LBA, no processing of the private SQ occurs. If the pulled LBA is next, then the LBA will be processed by the data storage device. If the pulled LBA is not next, then the zone gap processing will send the LBA back to the private SQ.

Abstract: An atmospheric pressure plasma system is used to clean surface contaminants from chip surfaces prior to direct bonding them onto wafers. The surface contaminants include contact residue transferred from common adhesive films and silicone membranes used in semiconductor fabrication and packaging. WCA and FTIR data confirm the transfer of hydrocarbon and silicone contaminant residue that reduce hydrophilicity and surface energy. The atmospheric plasma treatment of the chip surfaces significantly reduces or eliminates these contaminants and results in stronger bonds than the untreated chip surfaces.

Abstract: An anti-tampering system and/or method are provided for use with a virtual gaming machine network. Various distributed gaming machines reside in respective physical locations and have respective unique identifiers, each machine including: sensors which generate output signals corresponding to input power, current position, and/or current orientation thereof; cellular modems; and resident controllers which conditionally generate event based messages in real time responsive to events identified via the sensor outputs. A remote processor independently interfaces with each resident controller via the cellular modems to define a secure wireless network. In response to receiving an event based message comprising an identifier, the respective gaming machine is identified by retrieving an associated unique identifier from data storage, and an alert or response message is conditionally generated based on a comparison of the event based message and a stored operating state for the respective gaming machine.

Abstract: A valve device includes male and female housings having, respectively, exterior and interior annular channels. The male housing is receivable into the female housing such that the exterior and interior annular channels together define a toroidal tube. The male and female housings together define a fluid through-passage. There are first and second valve elements disposed, respectively, in the male and female housings. Ball locks are receivable into the toroidal tube. The ball locks axially lock the male and female housings together but permit rotation between the male and female housings. A lock includes first and second pin holes in, respectively, the male and female housings. The lock is engageable to rotationally lock the male and female housings when the first and second pin holes are in alignment.

Abstract: A valve device (20) includes male and female housings (22, 24) that together define a fluid through-passage (28). The male and female housings have, respectively, exterior and interior annular channels (22a, 24a). The male housing is receivable into the female housing such that the exterior and interior annular channels together define a toroidal tube. First and second valve elements (30, 32) are disposed, respectively, in the male and female housings. Ball locks (36) are receivable into the toroidal tube and axially lock the male and female housings together. A lock (40) engageable when the first and second valve elements are in functional alignment and which when engaged rotationally locks the male and female housings.

Abstract: The subject matter herein provides for AI-based prediction of production defects in association with a production system, such as a semiconductor manufacturing machine. In one embodiment, a method begins by receiving production data from the production system. The production data typically comprises non-homogeneous machine parameters and maintenance data, quality test data, and product and process data. Using the production data, a neural network is trained to model an operation of a given machine in the production system. Preferably, the training involves multi-task learning, transfer learning (e.g., using knowledge obtained with respect to a machine of the same type as the given machine), and a combination of multi-task learning and transfer learning. Once the model is trained, it is associated with the given machine operating environment, wherein it is used to provide quality assurance predictions.

Abstract: A valve device (20) includes male and female housings (22, 24) that together define a fluid through-passage (28). The male and female housings have, respectively, exterior and interior annular channels (22a, 24a). The male housing is receivable into the female housing such that the exterior and interior annular channels together define a toroidal tube. First and second valve elements (30,32) are disposed, respectively, in the male and female housings. Ball locks (36) are receivable into the toroidal tube and axially lock the male and female housings together. A lock (40) engageable when the first and second valve elements are in functional alignment and which when engaged rotationally locks the male and female housings.

Abstract: The subject matter herein provides for AI-based prediction of production defects in association with a production system, such as a semiconductor manufacturing machine. In one embodiment, a method begins by receiving production data from the production system. The production data typically comprises non-homogeneous machine parameters and maintenance data, quality test data, and product and process data. Using the production data, a neural network is trained to model an operation of a given machine in the production system. Preferably, the training involves multi-task learning, transfer learning (e.g., using knowledge obtained with respect to a machine of the same type as the given machine), and a combination of multi-task learning and transfer learning. Once the model is trained, it is associated with the given machine operating environment, wherein it is used to provide quality assurance predictions.

Abstract: An atmospheric pressure plasma system includes an atmospheric pressure plasma source that generates a glow discharge-type plasma. The atmospheric pressure plasma source comprises a plasma head and a gas sensor system. The plasma head includes a gas inlet, a gas passage surrounded by a dielectric liner, a radio frequency (RF) electrode and a ground electrode. The RF electrode and the ground electrode are arranged at opposite sides of an outer surface of a segment of the gas passage. The gas sensor system comprises a first pellistor that is exposed to a process gas entering the gas inlet and provides real-time monitoring of the presence and concentration of helium in the process gas entering the gas inlet during plasma operation.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a parent physical function (PF), receive one or more child PFs, determine whether any part of a first child command of a first child PF of the one or more child PFs can be executed prior to receiving approval from the parent PF, and start executing the first child command. The controller is further configured to initialize an indirect queue, set fetching pointers of the indirect queue to the first child command, mimic a doorbell for the first child command, fetch the first child command, determine whether the first child command has started execution by a child PF flow, and complete the first child command.

Abstract: A conical mirror concentrator is disclosed which is configured for use as a laser-cooled cooled atom source. According to embodiments, the conical mirror concentrator may comprise a body; a reflective inner conical surface formed on the body tapering from a large diameter at a first side of body inward to a smaller dimeter in an interior space of the body, wherein the inner conical surface focuses light to an axis within the interior space of the body; a hole extending from the interior space of the body near a pinnacle of the inner conical surface to a second, opposite side of body; and a structure configured to mount the concentrator to an ultra-high vacuum chamber, such as a CF (or Conflat) flange or an anodicly bonded glass plate.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a parent physical function (PF), receive one or more child PFs, determine whether any part of a first child command of a first child PF of the one or more child PFs can be executed prior to receiving approval from the parent PF, and start executing the first child command. The controller is further configured to initialize an indirect queue, set fetching pointers of the indirect queue to the first child command, mimic a doorbell for the first child command, fetch the first child command, determine whether the first child command has started execution by a child PF flow, and complete the first child command.

Abstract: The subject matter herein provides for AI-based prediction of production defects in association with a production system, such as a semiconductor manufacturing machine. In one embodiment, a method begins by receiving production data from the production system. The production data typically comprises non-homogeneous machine parameters and maintenance data, quality test data, and product and process data. Using the production data, a neural network is trained to model an operation of a given machine in the production system. Preferably, the training involves multi-task learning, transfer learning (e.g., using knowledge obtained with respect to a machine of the same type as the given machine), and a combination of multi-task learning and transfer learning. Once the model is trained, it is associated with the given machine operating environment, wherein it is used to provide quality assurance predictions.

Abstract: Gallium nitride based devices and, more particularly to the generation of holes in gallium nitride based devices lacking p-type doping, and their use in light emitting diodes and lasers, both edge emitting and vertical emitting. By tailoring the intrinsic design, a wide range of wavelengths can be emitted from near-infrared to mid ultraviolet, depending upon the design of the adjacent cross-gap recombination zone. The innovation also provides for novel circuits and unique applications, particularly for water sterilization.

Abstract: A conical mirror concentrator is disclosed which is configured for use as a laser-cooled cooled atom source. According to embodiments, the conical mirror concentrator may comprise a body; a reflective inner conical surface formed on the body tapering from a large diameter at a first side of body inward to a smaller dimeter in an interior space of the body, wherein the inner conical surface focuses light to an axis within the interior space of the body; a hole extending from the interior space of the body near a pinnacle of the inner conical surface to a second, opposite side of body; and a structure configured to mount the concentrator to an ultra-high vacuum chamber, such as a CF (or Conflat) flange or an anodicly bonded glass plate.