Abstract: A data center security control module able to connect with motherboards of different platforms such as Intel platform, AMD platform, and Ampere platform includes a baseboard management controller (BMC), a chip selection module, and a control module. The BMC outputs an alarm signal. The chip selection module includes N chip selection units, the chip selection unit outputting alarm signal to an external motherboard which is connected to the data center security control module. The control module obtains information as to motherboard type being Intel platform, or AMD platform, or Ampere platform and outputs a control signal to the chip selection module according to the motherboard type to start the chip selection unit associated with such motherboard type. The application also provides a data center security control module control method.

Abstract: A board mis-insertion prevention circuit includes a first detection circuit, a second detection circuit, and a control module. The first detection circuit detects whether a board is in a first state and outputs a first detection signal when the board is in the first state. The second detection circuit detects whether the board is in a second state when the board is not in the first state, and outputs a second detection signal when the board is in the second state. The control module receives the first detection signal or the second detection signal and can allow or disconnect a power supply to the board according to the first detection signal or the second detection signal.

Abstract: The present disclosure provides a method for treating arthritis by using a stem cell preparation. The stem cell preparation of the present disclosure can effectively delay cartilage degeneration caused by arthritis, and it is confirmed by whole blood analysis and blood biochemical analysis that the stem cell preparation in the form of three-dimensional stem cell spheres provides a safe treatment for arthritis. The present disclosure also provides a method for preparing the stem cell preparation.

Abstract: A method detects mechanical equipment parts. The method includes: obtaining an image of a part; extracting a feature from the image using a machine learning model, identifying a type of surface defect on the basis of the feature to obtain an identification result; and determining whether to replace the part on the basis of the identification result and a predetermined standard of the part. The method reduces the difficulty of detecting a part, can accurately identify a surface defect of the part and determine whether the part needs to be replaced, thereby improving the work efficiency, and shortens the time for mechanical equipment to stop operating for maintenance, thus improving the operating efficiency of the mechanical equipment. The method is automatically executed by a computer, thereby avoiding manually checking errors, improving the accuracy of detection results, and thus improving the reliability of operation of the mechanical equipment.

Abstract: With Convolutional Neural Networks (CNN), facial alignment networks (FAN) have achieved significant accuracy on a wide range of public datasets, which comes along with larger model size and expensive computation costs, making it infeasible to adapt them to real-time applications on edge devices. There is provided a model compression approach on FAN using One-Shot Neural Architecture Search to overcome this problem while preserving performance criteria. Methods and devices provide efficient training and searching (on a single GPU), and resultant models can deploy to run real-time in browser-based applications on edge devices including tablets and smartphones. The compressed models provide comparable cutting-edge accuracy, while having a 30 times smaller model size and can run 40.7 ms per frame in a popular browser on a popular smartphone and OS.

Abstract: A lutein-containing ophthalmic composition, wherein the ophthalmic composition is mainly consisting of a natural anti-inflammatory substance, a substance with increasing liquid viscosity, and an artificial tear. The substance with increasing liquid viscosity could apply the ophthalmic composition to elongate the retention time on the ocular surface, thereby increasing the retention time of anti-inflammatory substance on the ocular surface for treating dry eye syndrome and inhibiting ocular surface inflammation.

Abstract: There are provided systems and methods for facial landmark detection using a convolutional neural network (CNN). The CNN comprises a first stage and a second stage where the first stage produces initial heat maps for the landmarks and initial respective locations for the landmarks. The second stage processes the heat maps and performs Region of Interest-based pooling while preserving feature alignment to produce cropped features. Finally, the second stage predicts from the cropped features a respective refinement location offset to each respective initial location. Combining each respective initial location with its respective refinement location offset provides a respective final coordinate (x,y) for each respective landmark in the image. Two-stage localization design helps to achieve fine-level alignment while remaining computationally efficient.

Abstract: There are provided systems and methods for facial landmark detection using a convolutional neural network (CNN). The CNN comprises a first stage and a second stage where the first stage produces initial heat maps for the landmarks and initial respective locations for the landmarks. The second stage processes the heat maps and performs Region of Interest-based pooling while preserving feature alignment to produce cropped features. Finally, the second stage predicts from the cropped features a respective refinement location offset to each respective initial location. Combining each respective initial location with its respective refinement location offset provides a respective final coordinate (x,y) for each respective landmark in the image. Two-stage localization design helps to achieve fine-level alignment while remaining computationally efficient.

Abstract: There is described a deep learning supervised regression based model including methods and systems for facial attribute prediction and use thereof. An example of use is an augmented and/or virtual reality interface to provide a modified image responsive to facial attribute predictions determined from the image.

Abstract: Disclosed are a method, apparatus and system for instant message routing. The method includes: receiving a communication request from a source client to a destination client; acquiring the context associated with the source client and the destination client; and selecting a sub-user of the destination client for communication using a policy according to the context. When a source client requests communication with a virtual user, the method can route the communication request using a policy according to the context, to a sub-user of the virtual user which once communicated with the source client.

Abstract: An integrated circuit includes: a phase-shifted data signal generation circuit configured to generate a plurality of phase-shifted data signals from an input data signal based on at least one phase-shifted clock signal; a synchronization circuit configured to generate a plurality of synchronization data signals by applying the at least one phase-shifted clock signal to the plurality of phase-shifted data signals provided by the phase-shifted data signal generation circuit; and a control signal generation circuit configured to perform logic operations on the plurality of synchronization data signals to generate a phase control signal for controlling a phase of the at least one phase-shifted clock signal, and generate a frequency control signal for controlling a frequency of the at least one phase-shifted clock signal.

Abstract: Systems and methods process images to determine a skin condition severity analysis and to visualize a skin analysis such as using a deep neural network (e.g. a convolutional neural network) where a problem was formulated as a regression task with integer-only labels. Auxiliary classification tasks (for example, comprising gender and ethnicity predictions) are introduced to improve performance. Scoring and other image processing techniques may be used (e.g. in assoc. with the model) to visualize results such as highlighting the analyzed image. It is demonstrated that the visualization of results, which highlight skin condition affected areas, can also provide perspicuous explanations for the model. A plurality (k) of data augmentations may be made to a source image to yield k augmented images for processing. Activation masks (e.g. heatmaps) produced from processing the k augmented images are used to define a final map to visualize the skin analysis.

Abstract: A roller assembly includes a workbench, a roller module located above the workbench, and a locking assembly coupled to the roller module and configured to position the roller module above the workbench. The roller module includes a driving device and a pressure roller. The driving device is coupled to the pressure roller through a crank assembly. The crank assembly drives the pressure roller to move along a track to roll on a work-piece positioned on the workbench.

Abstract: A pivoting clamping assembly includes a carrier, clamping arm pivotably coupled to the carrier and configured to clamp or release a workpiece on the carrier, a lock arranged on the carrier and configured to lock the clamping arm when the clamping arm is rotated toward the workpiece, and at least one clamping block coupled to the clamping arm by a shaft and at least one resilient member. The shaft pivotably couples a pivoting joint of the at least one clamping block to the clamping arm. The at least one resilient member is coupled between the clamping block and the clamping arm.

Abstract: There are provided systems and methods for facial landmark detection using a convolutional neural network (CNN). The CNN comprises a first stage and a second stage where the first stage produces initial heat maps for the landmarks and initial respective locations for the landmarks. The second stage processes the heat maps and performs Region of Interest-based pooling while preserving feature alignment to produce cropped features. Finally, the second stage predicts from the cropped features a respective refinement location offset to each respective initial location. Combining each respective initial location with its respective refinement location offset provides a respective final coordinate (x,y) for each respective landmark in the image. Two-stage localization design helps to achieve fine-level alignment while remaining computationally efficient.

Abstract: A lutein-containing ophthalmic composition, wherein the ophthalmic composition is mainly consisting of a natural anti-inflammatory substance, a substance with increasing liquid viscosity, and an artificial tear. The substance with increasing liquid viscosity could apply the ophthalmic composition to elongate the retention time on the ocular surface, thereby increasing the retention time of anti-inflammatory substance on the ocular surface for treating dry eye syndrome and inhibiting ocular surface inflammation.

Abstract: An integrated circuit includes: a phase-shifted data signal generation circuit configured to generate a plurality of phase-shifted data signals from an input data signal based on at least one phase-shifted clock signal; a synchronization circuit configured to generate a plurality of synchronization data signals by applying the at least one phase-shifted clock signal to the plurality of phase-shifted data signals provided by the phase-shifted data signal generation circuit; and a control signal generation circuit configured to perform logic operations on the plurality of synchronization data signals to generate a phase control signal for controlling a phase of the at least one phase-shifted clock signal, and generate a frequency control signal for controlling a frequency of the at least one phase-shifted clock signal.

Abstract: A roller assembly includes a workbench, a roller module located above the workbench, and a locking assembly coupled to the roller module and configured to position the roller module above the workbench. The roller module includes a driving device and a pressure roller. The driving device is coupled to the pressure roller through a crank assembly. The crank assembly drives the pressure roller to move along a track to roll on a work-piece positioned on the workbench.

Abstract: An approach for identifying and managing tasks in an e-mail system. An e-mail task manager, receives an e-mail and creates n-grams based on e-mail data content and metadata content. The e-mail task manager identifies the e-mail as a task e-mail based on analyzing the n-grams to detect a task and a task owner. The e-mail task manager determines task details associated with the task e-mail based on the n-grams and determines a collection of recommended actions based on the task details. The e-mail task manager stores the collection of recommended actions and associated action states in a task history store. The e-mail task manager outputs the collection of recommended actions and the action states associated with the task e-mail based on the task owner and updates the collection of recommend actions and the associated action states based on interactions by the task owner.

Abstract: A pivoting clamping assembly includes a carrier, clamping arm pivotably coupled to the carrier and configured to clamp or release a workpiece on the carrier, a lock arranged on the carrier and configured to lock the clamping arm when the clamping arm is rotated toward the workpiece, and at least one clamping block coupled to the clamping arm by a shaft and at least one resilient member. The shaft pivotably couples a pivoting joint of the at least one clamping block to the clamping arm. The at least one resilient member is coupled between the clamping block and the clamping arm.