Abstract: A movable object includes one or more processors individually or collectively configured to assess a location of the movable object, calculate a distance between the movable object and a restricted region using the location of the movable object, assess whether the distance falls within a first distance threshold, and instruct the movable object to take a movement response measure selected from (1) a first movement response measure when the distance falls within the first distance threshold, and (2) a second movement response measure different from the first movement response measure when the distance falls outside the first distance threshold. The first movement response measure is related to a current movement status of the movable object.

Abstract: Disclosed is a range hood, including: a case provided with a smoke inlet; and a fan provided inside the case. An air inlet area is formed between an air inlet of the fan and a side wall of the case, the air inlet area is provided with a spacer, and the spacer is configured to divide the air inlet area into at least two air inlet sub-areas. The air inlet sub-areas are located at different positions of the air inlet area. The airflow entering the case from the smoke inlet flows to the air inlet of the fan, and the airflow flows to the sub-air inlet area in different directions. The space blocks airflows in different directions, to prevent turbulence at the intersection of airflows in different directions.

Abstract: Disclosed is Bacillus altitudinis and application of an active substance compound solution and a microbial inoculum thereof in control of root-knot nematode disease, where Bacillus altitudinis AMCC 101084 has been deposited at China General Microbiological Culture Collection Center (CGMCC, No. 3, Yard 1, Beichen West Road, Chaoyang District, Beijing, China) on Aug. 16, 2018 with deposit number CGMCC No. 16308. The microbial inoculum of the present invention has a significant control effect on root-knot nematodes.

Abstract: Described herein are embodiments for fast training of adversarially robust models against adversarial attacks. Embodiments for model training by perturbing both the image and the label, which may be referred to as Bilateral Adversarial Training (BAT), are disclosed. To generate the adversarial label, one or more closed-form heuristic solutions are derived. One-step targeted attack is used with the target label being the most confusing class. It is shown in various experiments that random start and the most confusing target attack effectively prevent the label leaking and gradient masking problem. Coupled with the adversarial label part, embodiments of presented models significantly improve the state-of-the-art results. Experiments on one or more computationally challenging dataset also demonstrate the effectiveness of the presented BAT method embodiments.

Abstract: Described herein are embodiments for a feature-scattering-based adversarial training approach for improving model robustness against adversarial attacks. Conventional adversarial training approaches leverage a supervised scheme, either targeted or non-targeted in generating attacks for training, which typically suffer from issues such as label leaking as noted in recent works. Embodiments of the disclosed approach generate adversarial images for training through feature scattering in the latent space, which is unsupervised in nature and avoids label leaking. More importantly, the presented approaches generate perturbed images in a collaborative fashion, taking the inter-sample relationships into consideration. Extensive experiments on different datasets compared with state-of-the-art approaches demonstrate the effectiveness of the presented embodiments.

Abstract: A micro-pulse LiDAR and a method for detecting water vapor, temperature, and pressure of the atmosphere are provided. The micro-pulse LiDAR includes a first transmitter, a second transmitter, a third transmitter, an optical path transmission module, a water vapor channel detection module, a pressure channel detection module, a temperature channel detection module, a multi-channel data accumulator, a processing device, and a pulse generator.

Abstract: A product for preventing and treating external genitalia infection and/or flat warts is provided, wherein the product comprises a chloroquine nanosphere. The chloroquine nanosphere comprises a water-soluble nanosphere carrier, and chloroquine or a chloroquine derivative. A mass ratio of the chloroquine or the chloroquine derivative to the water-soluble nanosphere carrier during preparation ranges from 1:3 to 1:5. A loading rate of the chloroquine or the chloroquine derivative in the prepared chloroquine nanosphere ranges from 3.0% to 21.6%. The water-soluble nanosphere carrier is water-soluble chitosan; a deacetylation degree of the water-soluble chitosan ranges from 80% to 95%, and a viscosity-average molecular weight thereof ranges from 3000 to 5000 g/mol. The chloroquine derivative is selected from one or more of hydroxychloroquine, chloroquine phosphate or chloroquine sulfate.

Abstract: Disclosed is a range hood, including: a case provided with a smoke inlet; and a fan provided inside the case. An air inlet area is formed between an air inlet of the fan and a side wall of the case, the air inlet area is provided with a spacer, and the spacer is configured to divide the air inlet area into at least two air inlet sub-areas. The air inlet sub-areas are located at different positions of the air inlet area. The airflow entering the case from the smoke inlet flows to the air inlet of the fan, and the airflow flows to the sub-air inlet area in different directions. The space blocks airflows in different directions, to prevent turbulence at the intersection of airflows in different directions.

Abstract: Data processing is disclosed including acquiring a first target image to be embedded with information and to-be-embedded information, acquiring, using the first target image, a second target image corresponding to the first target image, the second target image corresponding to an image including low-luminance pixels in the first target image, the low-luminance pixels being pixels having a luminance no higher than a luminance threshold value in the first target image, selecting candidate image areas from the second target image, determining a target embedding position for the to-be-embedded information in the first target image based on the candidate image areas, and embedding the to-be-embedded information in the target embedding position in the first target image.

Abstract: A product for preventing and treating external genitalia infection and/or flat warts is provided, wherein the product comprises a chloroquine nanosphere. The chloroquine nanosphere comprises a water-soluble nanosphere carrier, and chloroquine or a chloroquine derivative. A mass ratio of the chloroquine or the chloroquine derivative to the water-soluble nanosphere carrier during preparation ranges from 1:3 to 1:5. A loading rate of the chloroquine or the chloroquine derivative in the prepared chloroquine nanosphere ranges from 3.0% to 21.6%. The water-soluble nanosphere carrier is water-soluble chitosan; a deacetylation degree of the water-soluble chitosan ranges from 80% to 95%, and a viscosity-average molecular weight thereof ranges from 3000 to 5000 g/mol. The chloroquine derivative is selected from one or more of hydroxychloroquine, chloroquine phosphate or chloroquine sulfate.

Abstract: A chloroquine gel and a preparation method and application thereof. A chloroquine nanosphere includes a water-soluble nanosphere carrier, and chloroquine or a chloroquine derivative, wherein a mass ratio of the chloroquine or the chloroquine derivative to the water-soluble nanosphere carrier is no more than 1:3.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. For each video frame of the set of video frames, a plurality of interest points are identified based on an interest point detector. For each video frame of the set of video frames, it is determined whether the video frame depicts the same static image as a next video frame in the set of video frames based on the plurality of interest points identified in each video frame.

Abstract: Described herein are embodiments for an approach to improve the robustness of an object detector against adversarial attacks. Existing attacks for object detectors and the impacts of individual task component on model robustness are systematically analyzed from a multi-task view of object detection. In one or more embodiments, a multi-task learning perspective of object detection is introduced and an asymmetric role of task losses is identified. One or more embodiments of an adversarial training method for robust object detection are presented to leverage the multiple sources of attacks for improving the robustness of object detection models.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. Dynamic regions in each video frame of the set of video frames can be filtered out, wherein each dynamic region represents a region in which a threshold level of movement is detected. A determination can be made for each video frame of the set of filtered video frames, whether the video frame comprises synthetic overlaid text based on a machine learning model.

Abstract: Data processing is disclosed including acquiring a first target image to be embedded with information and to-be-embedded information, acquiring, using the first target image, a second target image corresponding to the first target image, the second target image corresponding to an image including low-luminance pixels in the first target image, the low-luminance pixels being pixels having a luminance no higher than a luminance threshold value in the first target image, selecting candidate image areas from the second target image, determining a target embedding position for the to-be-embedded information in the first target image based on the candidate image areas, and embedding the to-be-embedded information in the target embedding position in the first target image.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. A determination can be made that a first set of consecutive video frames of the set of video frames depicts identical content to a second set of consecutive video frames of the set of video frames, wherein the first set of consecutive video frames and the second set of consecutive video frames satisfy a threshold number of consecutive video frames. The video is identified as a looping video based on the determination that the first set of consecutive video frames depicts identical content to the second set of consecutive video frames.

Abstract: Described herein are embodiments for joint adversarial training methods that incorporate both spatial transformation-based and pixel-value based attacks for improving image model robustness. Embodiments of a spatial transformation-based attack with an explicit notion of budgets are disclosed and embodiments of a practical methodology for efficient spatial attack generation are also disclosed. Furthermore, both pixel and spatial attacks are integrated into embodiments of a generation model and the complementary strengths of each other are leveraged for improving the overall model robustness. Extensive experimental results on several benchmark datasets compared with state-of-the-art methods verified the effectiveness of the presented method.

Abstract: This disclosure relates to a resource management system of a computing network. The design of the resource management system is an edge-Internet of Things (IoT) framework based on blockchain and smart contracts. The resource management system integrates a permissioned blockchain to link the edge cloud resources with each account for an IoT device, resource usage, and behavior of the IoT device. The resource management system uses credit-based resource management to control the resource of the IoT device that can be obtained from the edge server. Smart contracts are used to regulate behavior of the IoT device and enforce policies.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. A determination can be made that a threshold number of video frames of the set of video frames depict two or more reaction icons of a set of reaction icons. The video can be identified as a poll video based on the determining that the threshold number of video frames of the set of video frames depict two or more reaction icons of the set of reaction icons.

Abstract: Described herein are embodiments for a feature-scattering-based adversarial training approach for improving model robustness against adversarial attacks. Conventional adversarial training approaches leverage a supervised scheme, either targeted or non-targeted in generating attacks for training, which typically suffer from issues such as label leaking as noted in recent works. Embodiments of the disclosed approach generate adversarial images for training through feature scattering in the latent space, which is unsupervised in nature and avoids label leaking. More importantly, the presented approaches generate perturbed images in a collaborative fashion, taking the inter-sample relationships into consideration. Extensive experiments on different datasets compared with state-of-the-art approaches demonstrate the effectiveness of the presented embodiments.