Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: Implementations set forth herein relate to an automated assistant that can control a camera according to one or more conditions specified by a user. A condition can be satisfied when, for example, the automated assistant detects a particular environment feature is apparent. In this way, the user can rely on the automated assistant to identify and capture certain moments without necessarily requiring the user to constantly monitor a viewing window of the camera. In some implementations, a condition for the automated assistant to capture media data can be based on application data and/or other contextual data that is associated with the automated assistant. For instance, a relationship between content in a camera viewing window and other content of an application interface can be a condition upon which the automated assistant captures certain media data using a camera.

Abstract: In one aspect, a sterilizing lamp may include a lamp main body, a photocatalyst coating outside the lamp main body, and a CCFL light tube inside the lamp main body. The photocatalyst can be activated by the CCFL light passing out from the lamp main body. An emission material that generates the CCL rays may be enclosed in an internal space of the CCFL light tube. In one embodiment, the photocatalyst in the present invention is TiO2-based. For the specific photocatalyst used in the present invention, the most effective CCFL rays to activate the photocatalyst include a first CCFL ray with shorter wavelength and a second CCFL ray with longer wavelength.

Abstract: Technologies are disclosed for determining network-accessible content changes based on computed models and providing a long term forecast of user interaction at a network accessible site based upon a short term experiment at the site. A forecast model for a period of time is generated based upon historical data of user interactions at the site. An experiment is run for a short term at the site based upon a potential change at the site. Based upon data obtained during the experiment, scores are generated for a control group (no change) and a treatment group (potential change) and compared. If there are statistically significant differences between the control group and the treatment group scores, the long term forecast may be used to forecast what the long term impact of the experiment would be based upon the short term experiment.

Abstract: A low stress moisture resistant structure of semiconductor device comprises a low stress moisture resistant layer, wherein a semiconductor device is formed on a semiconductor wafer, the semiconductor device comprises at least one pad, the low stress moisture resistant layer is coated on the semiconductor device and the semiconductor wafer so that a pad top center surface of the pad is exposed. The low stress moisture resistant layer comprises a material comprising crosslinked fluoropolymer. A before-coated stress measured on the semiconductor wafer before the low stress moisture resistant layer is coated and an after-cured stress measured on the semiconductor wafer after the low stress moisture resistant layer is coated and cured define a stress difference, the stress difference is greater than or equal to ?5×107 dyne/cm2 and less than or equal to 5×107 dyne/cm2.

Abstract: A low stress moisture resistant structure of semiconductor device comprises a low stress moisture resistant layer, wherein a semiconductor device is formed on a semiconductor wafer, the semiconductor device comprises at least one pad, the low stress moisture resistant layer is coated on the semiconductor device and the semiconductor wafer so that a pad top center surface of the pad is exposed. The low stress moisture resistant layer comprises a material comprising crosslinked fluoropolymer. A before-coated stress measured on the semiconductor wafer before the low stress moisture resistant layer is coated and an after-cured stress measured on the semiconductor wafer after the low stress moisture resistant layer is coated and cured define a stress difference, the stress difference is greater than or equal to ?5×107 dyne/cm2 and less than or equal to 5×107 dyne/cm2.

Abstract: A fiber optic connector endface inspection probe includes a microscope system, a camera module, and an image processing system. While the objective lens of the microscope system is being moved towards and past the focused position for the endface of a mated connector, either by manually turning a focusing knob in one direction or via an automatic transmission mechanism, the camera module continuously takes and sends endface images to the image processing system, wherein a microprocessor continuously monitors the sharpness of the endface images to acquire a focused image and analyze it to make an endface inspection pass/fail judgment, without using an external display to monitor the endface images. The microprocessor further comprises an embedded web server for converting endface images and inspection report into web pages to be transmitted by a wireless transmitter of the image processing system to external devices for optional monitoring or manual inspection.

Abstract: Various embodiments are described herein for a Functional Contact Lens (FCL) for detecting at least one target analyte. The FCL may comprise a substrate for supporting electronic components and providing structural support for the functional contact lens; at least one sensing element disposed on the substrate for sensing the at least one target analyte and undergoing a physical change representing a sensed signal; and an antenna disposed on the substrate for transmitting the sensed signal to an external device, the antenna being coupled to the at least one sensing element.

Abstract: A fiber optic connector endface inspection probe includes a microscope system, a camera module, and an image processing system. While the objective lens of the microscope system is being moved towards and past the focused position for the endface of a mated connector, either by manually turning a focusing knob in one direction or via an automatic transmission mechanism, the camera module continuously takes and sends endface images to the image processing system, wherein a microprocessor continuously monitors the sharpness of the endface images to acquire a focused image and analyze it to make an endface inspection pass/fail judgment, without using an external display to monitor the endface images. The microprocessor further comprises an embedded web browser for converting endface images and inspection report into web pages to be transmitted by a wireless transmitter of the image processing system to external devices for optional monitoring or manual inspection.

Abstract: An integrated circuit/substrate interconnect apparatus and method are provided. Included is an integrated circuit including a plurality of bond pads, and a substrate including a plurality of landing pads and a mask. Such mask is spaced from the landing pads for defining areas therebetween. Further provided is a plurality of interconnects connected between the bond pads of the integrated circuit and the landing pads of the substrate. The interconnects include metal projections extending from the bond pads and a solder material for connecting the metal projections and the landing pads of the substrate.

Abstract: An integrated circuit/substrate interconnect apparatus and method of manufacture are provided. Included is a substrate with a plurality of wells and a landing pad formed in each of the wells. The substrate further includes a seed layer deposited in each of the wells over the landing pad, and a metalized layer deposited in each of the wells over the seed layer. Before assembly, an upper surface of the metalized layer forms a well.

Abstract: A technique for managing traffic within a network processor integrated circuit (IC) involves establishing multiple queue groups, associating a different hardware counter with each queue group, and then using the hardware counters to support rate shaping and scheduling of all of the queues in the queue groups. For example, 512 queue groups of thirty-two queues each queue group are established for a total of 16,384 (16 k) different queues and a different hardware counter is associated with each queue group for a total of 512 hardware counters. The group-specific hardware counters are used to implement hardware-based rate shaping and scheduling of all 16 k queues in a resource efficient manner that supports high throughput, e.g., on the order of 40 Gbps.

Abstract: A method and system for reliably performing extra-long operations in a reliable state-full system (such as a file system). The file system includes a separate portion of the file system reserved for files having extra-long operations in progress, including file deletion and file truncation. This separate portion of the file system is called the zombie file space; it includes a separate name space from the regular (“live”) file system that is accessible to users, and is maintained as part of the file system when recording a consistency point.

Abstract: A system that manages a file system for a file server. A file operation is received that signals a reservation operation for a file having a file size. Preferably, the file system uses a write anywhere file system layout, the file operation that signals the reservation operation is a zero length write request, and the file operation that signals the reservation operation includes a parameter that specifies the file size. A number of blocks needed to be reserved to accommodate the file is computed. Preferably, computing the number of blocks needed to be reserved to accommodate the file includes determining a total number of direct and indirect blocks needed to accommodate the file size, and subtracting a total number of blocks already allocated for the file and a total number of cached unallocated blocks for the file from the total number of direct and indirect blocks needed to accommodate the file size.