Abstract: An optical communication device may include a driver component, arranged to achieve a driving voltage, and a modulator component, including a laser or arranged to receive light from a laser. The modulator component may be arranged to achieve a modulated light signal modulated based on the driving voltage. The device may include a transmission line arranged to transfer the driving voltage between the driver component and the modulator component. The transmission line may not impedance matched to the driver component, the transmission line may have an impedance which is at least 20% lower than an output impedance of the driver component, and the transmission line may be impedance matched with respect to signal reflections to the modulator component.

Abstract: A method, apparatus, non-transitory computer readable medium, and system for image generation includes obtaining an object image and a target lighting indicator, generating a shading map based on the object image and the target lighting indicator, and generating a relighted image based on the object image and the shading map. The relighted image depicts an object from the object image with lighting based on the target lighting indicator.

Abstract: An end-to-end system and method for detecting objects of interest in geospatial imagery where the initial query comprises only an abstract of the object. A self-supervised student-teacher platform enables training an accurate model with a dataset of examples of classes of objects that may occur within geospatial imagery. Algorithms are applied to automate searching patterns in the dataset that actualize the abstract to cause the model to return images responsive to the abstract. The result may be iteratively refined so that images ultimately yielded by the search are examples of the object of interest.

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

Abstract: An optical communication device may include a driver component, arranged to achieve a driving voltage, and a modulator component, including a laser or arranged to receive light from a laser. The modulator component may be arranged to achieve a modulated light signal modulated based on the driving voltage. The device may include a transmission line arranged to transfer the driving voltage between the driver component and the modulator component. The transmission line may not impedance matched to the driver component, the transmission line may have an impedance which is at least 20% lower than an output impedance of the driver component, and the transmission line may be impedance matched with respect to signal reflections to the modulator component.

Abstract: An optical communication device may include a driver component, arranged to achieve a driving voltage, and a modulator component, including a laser or arranged to receive light from a laser. The modulator component may be arranged to achieve a modulated light signal modulated based on the driving voltage. The device may include a transmission line arranged to transfer the driving voltage between the driver component and the modulator component. The transmission line may not impedance matched to the driver component, the transmission line may have an impedance which is at least 20% lower than an output impedance of the driver component, and the transmission line may be impedance matched with respect to signal reflections to the modulator component.

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

Abstract: Methods and apparatus for retargeting and prioritized interpolation of lens profiles. A lens profile file may include a set of lens sub-profiles. The camera body and/or settings described in the file may not exactly match that of camera body and/or settings used to capture a target image. A sub-profile processing module may perform a prioritized sub-profile sorting and interpolation method to generate an interpolated sub-profile that may be applied to the target image to correct aberrations including, but not limited to, geometric distortion, lateral chromatic aberration, and vignette. Thus, models generated for a reference camera at a variety of settings may be applied to a target image captured with the same type of lens but with a different camera and/or with different settings that are not exactly modeled in the lens profile file.

Abstract: A method and (portable) device are provided for quantifying liver steatosis. The quantitative assessment of liver steatosis predicts whether a liver from the liver transplant donor is suitable for transplantation. Specifically, the quantitative assessment of liver steatosis predicts an associated risk for early allograft dysfunction. A biopsy image from a liver transplant donor is obtained from an automatic quantitative assessment of liver steatosis is made using a pre-trained artificial intelligence algorithm for identifying parameters of liver steatosis. The biopsy image is input to the pre-trained artificial intelligence algorithm. The quantitative assessment of liver steatosis is the output of the pre-trained artificial intelligence algorithm. Embodiments provide for rapidly diagnosing potential donor liver allografts at the time of procurement with a point-of-care device deployed with the transplant surgery team.

Abstract: An optical communication device may include a driver component, arranged to achieve a driving voltage, and a modulator component, including a laser or arranged to receive light from a laser. The modulator component may be arranged to achieve a modulated light signal modulated based on the driving voltage. The device may include a transmission line arranged to transfer the driving voltage between the driver component and the modulator component. The transmission line may not impedance matched to the driver component, the transmission line may have an impedance which is at least 20% lower than an output impedance of the driver component, and the transmission line may be impedance matched with respect to signal reflections to the modulator component.

Abstract: A thin film transistor, a method for manufacturing the thin film transistor, and a display device are provided. The thin film transistor includes a substrate, a semiconductor layer, a source electrode, a drain electrode, a gate electrode, an insulating layer, and a number of floating electrodes. The semiconductor layer is formed at the substrate. Two first doped regions are respectively formed at two ends of the semiconductor layer. The source electrode and the drain electrode are respectively disposed at the first doped regions. The gate electrode is disposed between the source electrode and the drain electrode. The semiconductor layer between the gate electrode and the drain electrode forms an offset region. A number of spaced second doped regions is formed at the offset region. The insulating layer covers the offset region without the second doped regions formed thereon. A number of floating electrodes is disposed at the insulating layer.

Abstract: A device is provided which includes one or more sensors operable to measure one or more hair growth parameters of a tissue of a subject. A plurality of light sources is operable to radiate optical energy at a predetermined wavelength to promote hair growth. A control unit is coupled with the one or more sensors and the plurality of light sources, and a memory stores instructions executable by the control unit. The instructions may include to: receive, from the one or more sensors, the one or more measured hair growth parameters; determine a region within a boundary to be treated based on the one or more measured hair growth parameters; and radiate, by the plurality of light sources, optical energy at the predetermined wavelength at the region to be treated. The optical energy may be radiated within the boundaries of the region.

Abstract: A request message is generated with a trusted network entity executing trusted code on a first network layer. The request message to target a non-trusted network entity executing non-trusted code on a second network layer. The request message is transmitted from the trusted network entity to the non-trusted network entity through at least a policy enforcement entity. The policy enforcement entity applies one or more network traffic rules to enforce a unidirectional flow of traffic from the first network layer to the second network layer. A response check message is generated with the trusted network entity. The response check message to determine whether response information is available on the non-trusted network entity in response to the request message. The response check message is transmitted from the trusted network entity to the non-trusted network entity through at least the policy enforcement entity.

Abstract: Methods and apparatus for constraining solution space in image processing techniques may use the metadata for a set of images to constrain an image processing solution to a smaller solution space. In one embodiment, a process may require N parameters for processing an image. A determination may be made from metadata that multiple images were captured with the same camera/lens and with the same settings. A set of values may be estimated for the N parameters from data in one or more of the images. The process may then be applied to each of images using the set of values. In one embodiment, a value for a parameter of a process may be estimated for an image. If the estimated value deviates substantially from a value for the parameter in the metadata, the metadata value is used in the process instead of the estimated value.

Abstract: A request message is generated with a trusted network entity executing trusted code on a first network layer. The request message to target a non-trusted network entity executing non-trusted code on a second network layer. The request message is transmitted from the trusted network entity to the non-trusted network entity through at least a policy enforcement entity. The policy enforcement entity applies one or more network traffic rules to enforce a unidirectional flow of traffic from the first network layer to the second network layer. A response check message is generated with the trusted network entity. The response check message to determine whether response information is available on the non-trusted network entity in response to the request message. The response check message is transmitted from the trusted network entity to the non-trusted network entity through at least the policy enforcement entity.

Abstract: Various exemplary embodiments relate to a method for managing subscriber usage in a mobile network by a policy and charging rules function (PCRF) including: receiving a credit control request (CCR) message from a policy and enforcement rules function (PCEF) for an application; determining if a Sy connection to an online charging system (OCS) is necessary to implement the CCR; determining if a Sy session is present; sending an application authorization request (AAR) message to the OCS; binding a counter to the application; determining a policy to apply based upon the application; and sending a credit control answer (CCA) message to the PCEF to effect the policy.

Abstract: A request message is generated with a trusted network entity executing trusted code on a first network layer. The request message to target a non-trusted network entity executing non-trusted code on a second network layer. The request message is transmitted from the trusted network entity to the non-trusted network entity through at least a policy enforcement entity. The policy enforcement entity applies one or more network traffic rules to enforce a unidirectional flow of traffic from the first network layer to the second network layer. A response check message is generated with the trusted network entity. The response check message to determine whether response information is available on the non-trusted network entity in response to the request message. The response check message is transmitted from the trusted network entity to the non-trusted network entity through at least the policy enforcement entity.

Abstract: A request message is generated with a trusted network entity executing trusted code on a first network layer. The request message to target a non-trusted network entity executing non-trusted code on a second network layer. The request message is transmitted from the trusted network entity to the non-trusted network entity through at least a policy enforcement entity. The policy enforcement entity applies one or more network traffic rules to enforce a unidirectional flow of traffic from the first network layer to the second network layer. A response check message is generated with the trusted network entity. The response check message to determine whether response information is available on the non-trusted network entity in response to the request message. The response check message is transmitted from the trusted network entity to the non-trusted network entity through at least the policy enforcement entity.