Abstract: Systems and techniques are provided for vision perception processing. An example method can include determining an attention demand score or characteristic per region of a frame from a sequence of frames; generating attention votes per region of the frame based on the attention demand score or characteristic per region, the attention votes per region providing attention demands and/or attention requests; determining an attention score or characteristic per region of the frame based on a number of attention votes from one or more computer vision functions; based on the attention score or characteristic per region of the frame, selecting one or more regions of the frame for processing using a neural network; and detecting or tracking one or more objects in the one or more regions of the frame based on processing of the one or more regions using the neural network.

Abstract: Provides are a compound capable of improving the luminous efficiency, stability and lifespan of a device, an organic electronic element employing the same, and an electronic device thereof.

Abstract: Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.

Abstract: Provided is a roller assembly which includes: a supporter configured to rotatably support a roller disposed in a movement path of a to-be-treated material; a fixed shaft attached to a rear surface of the supporter and having at least a stretchable portion; a body attached to the rear surface side of the supporter so as to surround the fixed shaft; and a plunger attached so as to connect the body and the fixed shaft and formed so that at least a portion thereof advances and retreats with respect to the movement path, a casting device provided with the roller assembly, and a roller separating method, wherein the roller assembly is capable of separating the roller from the movement path during emergency.

Abstract: Provided is vertical semi-continuous casting equipment including a guide device disposed under the mold to support the slab drawn from the plate, the guide device being configured to guide the descending of the slab. The guide device includes first and second guide parts including a plurality of guide rolls respectively disposed on both sides of a moving path of the plate under the mold to support the slab moving by the plate and guide the movement of the slab and a braking unit connected to each of the guide rolls to apply braking force to the guide roll that rotates by the movement of the slab. In accordance with an exemplary embodiment, the slab having the length longer than that of the slab in accordance with the related art may stably descend, the shaking of the slab may be prevented, and the casting speed may be stabilized.

Abstract: Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.

Abstract: Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.

Abstract: Provided is a roller assembly which includes: a supporter configured to rotatably support a roller disposed in a movement path of a to-be-treated material; a fixed shaft attached to a rear surface of the supporter and having at least a stretchable portion; a body attached to the rear surface side of the supporter so as to surround the fixed shaft; and a plunger attached so as to connect the body and the fixed shaft and formed so that at least a portion thereof advances and retreats with respect to the movement path, a casting device provided with the roller assembly, and a roller separating method, wherein the roller assembly is capable of separating the roller from the movement path during emergency.

Abstract: Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.

Abstract: Systems, methods, and apparatus are described that enable a physical layer interface of a device coupled to a serial bus to combine two or more single-byte write transactions to obtain a multi-byte write transaction. A method includes buffering a first single-byte transaction addressed to a first register at a first address of a slave device in a first-in-first-out buffer of the physical layer, receiving at the physical layer a second single-byte transaction addressed to a second register at a second address of the slave device coupled to the serial bus, determining in the physical layer whether the second address is incrementally greater than the first address, combining the second single-byte transaction with the first single-byte transaction to obtain a multi-byte transaction, replacing the first single-byte transaction with the multi-byte transaction in the first-in-first-out buffer, and transmitting a sequence of transactions output by the first-in-first-out buffer over the serial bus.

Abstract: Systems, methods, and computer programs are disclosed for reducing leakage power of a system on chip (SoC). One such method comprises monitoring a plurality of temperature differentials across a respective plurality of thermoelectric coolers on a system on chip (SoC). Each of the thermoelectric coolers is dedicated to a corresponding one of a plurality of chip sections on the SoC. The thermoelectric coolers are controlled based on the plurality of temperature differentials to minimize a sum of a combined power consumption of the plurality of chip sections and the plurality of corresponding dedicated thermoelectric coolers.

Abstract: Provided is vertical semi-continuous casting equipment including a guide device disposed under the mold to support the slab drawn from the plate, the guide device being configured to guide the descending of the slab. The guide device includes first and second guide parts including a plurality of guide rolls respectively disposed on both sides of a moving path of the plate under the mold to support the slab moving by the plate and guide the movement of the slab and a braking unit connected to each of the guide rolls to apply braking force to the guide roll that rotates by the movement of the slab. In accordance with an exemplary embodiment, the slab having the length longer than that of the slab in accordance with the related art may stably descend, the shaking of the slab may be prevented, and the casting speed may be stabilized.

Abstract: Systems, methods, and apparatus are described that enable a physical layer interface of a device coupled to a serial bus to combine two or more single-byte write transactions to obtain a multi-byte write transaction. A method includes buffering a first single-byte transaction addressed to a first register at a first address of a slave device in a first-in-first-out buffer of the physical layer, receiving at the physical layer a second single-byte transaction addressed to a second register at a second address of the slave device coupled to the serial bus, determining in the physical layer whether the second address is incrementally greater than the first address, combining the second single-byte transaction with the first single-byte transaction to obtain a multi-byte transaction, replacing the first single-byte transaction with the multi-byte transaction in the first-in-first-out buffer, and transmitting a sequence of transactions output by the first-in-first-out buffer over the serial bus.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: A method and system for optimizing a core voltage level of a portable computing device (“PCD”) and enhancing frequency performance of individual subcomponents are disclosed. A plurality of voltage values is determined for a plurality of subcomponents within the PCD. Next, a reduced set of voltage values may be calculated with a voltage aggregator based on the plurality of voltage values. An optimized voltage level for a shared power domain may then be determined by a voltage optimizer within the PCD from the reduced set of voltage values. A shared power domain may then be set to the optimized voltage level. Subsequently, an operating frequency of each subcomponent may be optimized with a frequency performance enhancer based on the optimized voltage level. An optimal power collapse duration may also be calculated by the frequency performance enhancer and set for each subcomponent from the optimal frequency.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: A method and system for optimizing a core voltage level of a portable computing device (“PCD”) and enhancing frequency performance of individual subcomponents are disclosed. A plurality of voltage values for a plurality of subsystems is determined. At least one subsystem is a multiplexed subsystem. Next, a reduced set of voltage values is calculated based on the plurality of voltage values and an optimized voltage level is determined for a shared power domain. The shared power domain is subsequently set to the optimized voltage level. If the optimized voltage level is determined to exceed a required voltage level for the at least one multiplexed subsystem when it is running the plurality of processing engines, a subset of the plurality of processing engines may be identified to process a workload of the multiplexed system at a more efficient level of power consumption than the full plurality of processing engines.

Abstract: Various embodiments of methods and systems for energy efficiency aware thermal management in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, energy efficiency aware thermal management techniques that compare performance data of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by adjusting the power supplies to, reallocating workloads away from, or transitioning the power mode of, the least energy efficient processing components. In these ways, embodiments of the solution optimize the average amount of power consumed across the SoC to process a MIPS of workload.

Abstract: The provided is a metal-resin composite with high shock resistance, thermal shock resistance and adhesion, which comprises an adhesive layer comprising at least one of copolymers and terpolymers between the metal layer and the resin layer. The adhesive layer comprises at least one of copolymers and terpolymers obtained from a copolymerization of two or three of the following monomers a), b), c) and d): a) an ?-olefin represented by the Chemical Formula 1: RCH?CH2 (where R is a hydrogen or an alkyl radical of 1 to 8 carbon atoms); b) at least one of acrylate or methacrylate; c) at least one of ?,?-ethylenated unsaturated acrylic acid and methacrylic acid each of which has 3 to 20 carbon atoms, sulfonic acid, and phosphoric acid; and d) a monomer having any one of glycidyl group, hydroxyl group, anhydrous maleic acid group, carboxylic acid group, and ester group.

Abstract: Systems, methods, and computer programs are disclosed for minimizing power consumption in graphics frame processing. One such method comprises: initiating graphics frame processing to be cooperatively performed by a central processing unit (CPU) and a graphics processing unit (GPU); receiving CPU activity data and GPU activity data; determining a set of available dynamic clock and voltage/frequency scaling (DCVS) levels for the GPU and the CPU; and selecting from the set of available DCVS levels an optimal combination of a GPU DCVS level and a CPU DCVS level, based on the CPU and GPU activity data, which minimizes a combined power consumption of the CPU and the GPU during the graphics frame processing.