Abstract: A takeoff and landing platform, a UAV, a takeoff and landing system, a storage device and a takeoff and landing control method are provided. The takeoff and landing platform includes: a bracket, one end of the bracket is fixed on a base, and another end thereof extends in a direction away from the base, and the bracket is provided with a vertical guide rail. Multiple UAVs may be vertically stacked on the bracket along the guide rail and take off from the bracket. Hence, the manpower investment and site investment are reduced for multiple UAVs to perform collaborative operations. It can not only reduce the cost of multiple UAV collaborative operations, but also improve the efficiency of multiple UAV collaborative operations.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A device for identifying an aluminum alloy die-cast hub includes a laser scanning means, a controller and a computer, in which the laser scanning means includes an image sensor and is configured to shoot an image from the surface of the aluminum alloy die-cast hub; the controller and the computer are in data connection with the image sensor, and the model information of the hub is read from bar code information.

Abstract: A manufacturing method of connector structure including the following steps is provided. First, providing a dielectric layer having. Then, forming a first adhesive layer and a second adhesive layer on two opposite sides of the dielectric layer respectively. Then, providing at least one first conductive elastic cantilever and at least one second conductive elastic cantilever, wherein the first conductive elastic cantilever comprises a first fixing end portion and a first free end portion, and the second conductive elastic cantilever comprises a second fixing end portion and a second free end portion. Then, fixing the first fixing end portion and the second fixing end portion to the first adhesive layer and the second adhesive layer respectively, wherein the first fixing end portion is aligned with the second fixing end portion. Afterward, forming at least one conductive via for electrically connecting the first conductive elastic cantilever with the second conductive elastic cantilever.

Abstract: A manufacturing method of connector structure including the following steps is provided. First, providing a dielectric layer having. Then, forming a first adhesive layer and a second adhesive layer on two opposite sides of the dielectric layer respectively. Then, providing at least one first conductive elastic cantilever and at least one second conductive elastic cantilever, wherein the first conductive elastic cantilever comprises a first fixing end portion and a first free end portion, and the second conductive elastic cantilever comprises a second fixing end portion and a second free end portion. Then, fixing the first fixing end portion and the second fixing end portion to the first adhesive layer and the second adhesive layer respectively, wherein the first fixing end portion is aligned with the second fixing end portion. Afterward, forming at least one conductive via for electrically connecting the first conductive elastic cantilever with the second conductive elastic cantilever.

Abstract: A method comprising acquiring a plurality of measurements from at least one sensor in a mobile device, determining an activity classification of a user of the mobile device based on the plurality of measurements, acquiring an audio file for the mobile device, wherein the audio file is selected based on the activity classification, and playing the audio file by the mobile device.

Abstract: A method implemented by a mobile device for music recommendation to a user of the mobile device, the method comprising acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user, determining a music based at least in part on the biometric information, and recommending the music to the user for playing.

Abstract: A device for identifying an aluminum alloy die-cast hub includes a laser scanning means, a controller and a computer, in which the laser scanning means includes an image sensor and is configured to shoot an image from the surface of the aluminum alloy die-cast hub; the controller and the computer are in data connection with the image sensor, and the model information of the hub is read from bar code information.

Abstract: Embodiments are provided herein for providing biometrics-based music recommendations to users. The biometric-based music recommendations take into account the changing music preferences of users from time to time as their biometrics change, such as due to users wellness states, being in different moods, engagement in different activities, and/or entering different environments. The schemes herein are implemented on user devices equipped or coupled to wearable devices capable of collecting biometrics data from users, such as heart rate, perspiration, and skin temperature data. The biometrics data of a user are collected and then processed into biometrics information. The biometrics information is then classified into a current wellness state of the user. A music recommendation is then provided to the user according to the biometrics information and the current wellness state of the user.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A device, method and system processes data about the user for determining and recommending a health/wellness action to the user. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action, such as the user's specific health or medical conditions.

Abstract: Embodiments are provided herein to achieve video or image sequence encoding with an improved denoising algorithm that is both efficient computationally and has acceptable overhead cost in comparison to other denoising schemes for video encoding. The embodiments include using recursive bilateral filtering as part of the denoising algorithm, which is integrated into a video encoder to overcome limitations of other encoder-integrated denoising algorithms. An embodiment method includes receiving, at a filtering and residual computation function at the encoder, a macro block comprising a plurality of pixels. The filtering and residual computation function also receives, from a motion estimation function at the encoder, a reference block. The reference block comprises a plurality of reference pixels corresponding to the macro block.

Abstract: A method comprising acquiring a plurality of measurements from at least one sensor in a mobile device, determining an activity classification of a user of the mobile device based on the plurality of measurements, acquiring an audio file for the mobile device, wherein the audio file is selected based on the activity classification, and playing the audio file by the mobile device.

Abstract: A method implemented by a mobile device for music recommendation to a user of the mobile device, the method comprising acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user, determining a music based at least in part on the biometric information, and recommending the music to the user for playing.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A method comprising acquiring a plurality of measurements from at least one sensor in a mobile device, determining an activity classification of a user of the mobile device based on the plurality of measurements, acquiring an audio file for the mobile device, wherein the audio file is selected based on the activity classification, and playing the audio file by the mobile device.

Abstract: A method implemented by a mobile device for music recommendation to a user of the mobile device, the method comprising acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user, determining a music based at least in part on the biometric information, and recommending the music to the user for playing.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: Embodiments are provided herein for providing biometrics-based music recommendations to users. The biometric-based music recommendations take into account the changing music preferences of users from time to time as their biometrics change, such as due to users wellness states, being in different moods, engagement in different activities, and/or entering different environments. The schemes herein are implemented on user devices equipped or coupled to wearable devices capable of collecting biometrics data from users, such as heart rate, perspiration, and skin temperature data. The biometrics data of a user are collected and then processed into biometrics information. The biometrics information is then classified into a current wellness state of the user. A music recommendation is then provided to the user according to the biometrics information and the current wellness state of the user.