Hon Hai Precision Industry Co., Ltd.

Carestream Health, Inc.

Ambit Microsystems (shanghai) Ltd.

Rajax Network Technology (shanghai) Co., Ltd.

Xu Liu

Zhimin Huo

Wei Chen

Chi-Ming Lu

Teng-Huei Chu

Guo-Zhi Ding

Jiqiang Fan

Hui Wang

Zhijun Guan

The embodiments of the present disclosure relate to an unmanned delivery device, a delivery robot dispatching method, and an electronic device. The unmanned delivery device includes a container body, M delivery robots and a transfer module. The container body is provided with M cabinet groups and each of the cabinet groups is used to store goods to be delivered by a corresponding delivery robot. The container body is configured to identify a target delivery robot, determine order information of target goods stored in a target cabinet group corresponding to the target delivery robot, and instruct the target delivery robot to deliver the target goods according to the order information. The transfer module is used to move the target goods stored in the target cabinet group corresponding to the target delivery robot to the target delivery robot.

Unmanned delivery device, delivery robot dispatching method, and electronic device

An electronic display device detects whether a user is in front of a display via a camera according to a first frequency in a working mode of the electronic display device. If the electronic display device detects that the user is not in front of the display for a first predefined time period, the electronic display device enters a power saving mode by turning off the display. The electronic display device detects whether the user is in front of the display again via the camera according to a second frequency in the power saving mode. The electronic display device reduces the second frequency after the user is not in front of the display for a second predefined time period. The electronic display device enters the working mode by turning on the display when detecting that the user is in front of the display again.

Electronic display device automatically turns on or off according to whether a user in front of the display

A method for determining a candidate lesion region in a digital ultrasound medical image of anatomical tissue. The method includes the steps of: accessing the digital ultrasound medical image of anatomical tissue; applying an anisotropic diffusion filter to the ultrasound image to generate a filtered ultrasound image; performing a normalized cut operation on the filtered ultrasound image to partition the filtered ultrasound image into a plurality of regions; and selecting, from the plurality of regions, at least one region as a candidate lesion region.

Segmentation of lesions in ultrasound images

A mobile station communicates with an access point (AP). The mobile station includes a low noise amplifier (LNA) path, a power amplifier (PA) path, a switch to select the LNA path or the PA path, and a controller directing the switch. The controller estimates amplifying power of the LNA, transmitting power and a sensitivity threshold of the PA. The controller receives a current received signal strength indication (RSSI) value of the AP. The controller determines whether amplifying power of the LNA path exceeds the PA sensitivity threshold. The controller transmits a selection signal directing the switch to select the LNA path if the amplifying power of the LNA path exceeds the sensitivity threshold of the PA.

Mobile station and method to select an amplifying path thereof

A method for detecting and analyzing candidate lesions in a magnetic resonance image of a breast. The method includes the steps of: accessing a plurality of temporal magnetic resonance images of the breast; identifying candidate lesions by performing a temporal pattern analysis of the plurality of images to produce temporal features based on an uptake phase and a washout phase; performing a morphological operation on the candidate lesions to produce morphological features; and classifying the candidate lesions using the morphological features and temporal features to produce classified candidate lesions.

Growing community of inventors

Shanghai, China

Xu Liu