Electronic Module Having a Groove Anchoring Terminal Pins

    公开(公告)号:US20220285253A1

    公开(公告)日:2022-09-08

    申请号:US17190592

    申请日:2021-03-03

    摘要: A module has electronic components mounted to a Printed Circuit Board (PCB) with multiple patterned conductive layers connecting to conductive slot metal around a conductive slot. A groove is cut through a top molding encapsulant above and into the conductive slot but does not cut through a bottom molding encapsulant. A terminal pin is inserted into the groove and pushed down into the conductive slot. When heated, embedded solder previously applied to the conductive slot metal flows between the end of the terminal pin and the conductive slot metal to form a solder bond. An end of the PCB past the conductive slot has no metal traces, preventing shorts. Epoxy can be placed into the groove around the terminal pin or a hole formed in the terminal pin to increase strength of the anchored terminal pin. The molding around the groove protects terminal pins from shorting from the side.

    Optimizing battery consumption of remote end devices on a wireless long-range wide-area network (LoRaWAN)

    公开(公告)号:US11323963B1

    公开(公告)日:2022-05-03

    申请号:US17226284

    申请日:2021-04-09

    IPC分类号: H04W52/02 H04W88/04 G06F16/29

    摘要: A long-range wireless network extends the battery life of the most remote end devices by forming pairs with a relayer end device that relays data from the remote end device to a gateway. The battery life of the relayer is reduced to extend the battery life of the remote end device. An analysis server selects pairs of end devices that have a difference in battery levels above a threshold, and require less transmission energy from the remote end device to the relayer than to the gateway. Energy or path losses are estimated based on geographic locations of end devices and terrain or obstacles. Redundant pairs from a remote end device are eliminated by selecting the relayer requiring the lowest transmission energy. A new configuration is sent to the remote end device. New configurations with higher Spreading Factors (SF) compensate for pairs with larger path losses to the relayer.

    Transistor-injected silicon-controlled rectifier (SCR) with perpendicular trigger and discharge paths

    公开(公告)号:US11302689B1

    公开(公告)日:2022-04-12

    申请号:US17147601

    申请日:2021-01-13

    发明人: Chun-Kit Yam

    IPC分类号: H01L27/02 H01L29/78

    摘要: An Electro-Static-Discharge (ESD) protection circuit has a Silicon-Controlled Rectifier (SCR) with a discharge current path in a first direction. A triggering transistor has a trigger current flowing in a second direction that is perpendicular to the first direction. Triggering transistors can be Fin Field-Effect Transistor (FinFET) transistors with current flowing along the long direction of the fins. The trigger current flows into a connecting N+ drain and into an N-Well under a center portion of the connecting N+ drain to inject carriers into the N-base of a PNPN SCR. The injected current flows through the base to generate a voltage gradient that turns on the PN junction in a P+ emitter that is parallel to but spaced apart from the FinFET transistors, causing a discharge current to flow perpendicular to the fins. The perpendicular discharge current flows through the substrate which can handle a larger current than the small fins.

    Method for image segmentation using CNN

    公开(公告)号:US11270447B2

    公开(公告)日:2022-03-08

    申请号:US16785784

    申请日:2020-02-10

    摘要: In a convolutional neural network (CNN) using an encoder-decoder structure for image segmentation, a multi-scale context aggregation module receives an encoded final-stage feature map from the encoder, and sequentially aggregates multi-scale contexts of this feature map from a global scale to a local scale to strengthen semantic relationships of contexts of different scales to improve segmentation accuracy. The multi-scale contexts are obtained by computing atrous convolution on the feature map for different dilation rates. To reduce computation, a channel-wise feature selection (CFS) module is used in the decoder to merge two input feature maps. Each feature map is processed by a global pooling layer followed by a fully connected layer or a 1×1 convolutional layer to select channels of high activation. By subsequent channel-wise multiplication and elementwise summation, only channels with high activation in both feature maps are preserved and enhanced in the merged feature map.

    Apparatus and method of three-dimensional interaction for augmented reality remote assistance

    公开(公告)号:US11043038B1

    公开(公告)日:2021-06-22

    申请号:US16820644

    申请日:2020-03-16

    摘要: A method of tracking a point of interest (POI) in an electronic three-dimensional (3D) viewing environment, comprising: capturing via an optical sensor and recording motions of an onsite user, wherein each motion comprises an image surrounding and a pose of the onsite user; displaying a snapshot to a remote user, wherein the snapshot is one of the recorded motions; receiving a POI indicator in the snapshot from the second user; estimating a 3D position of the POI in the electronic 3D viewing environment using the POI indicator data, a moving trajectory from each of the recorded motions to the snapshot, and an estimation of distance between the optical sensor to the POI center; and rendering and superimposing the POI indicator in the electronic 3D viewing environment to be displayed to the onsite user using the estimated 3D position of the POI, the moving trajectory, and the recorded motions.

    Efficient and accurate named entity recognition method and apparatus

    公开(公告)号:US10853576B2

    公开(公告)日:2020-12-01

    申请号:US16219887

    申请日:2018-12-13

    IPC分类号: G06F40/295 G06K9/62 G06F17/18

    摘要: A method for recognizing and extracting named entities in a natural language input text processing comprising: performing, by a compressed named entities recognition (NER)-model-based named entity recognizer, a first stage NER on the input text to generate a first stage determination of whether at least one named entity exists in the input text; if the first stage NER determines no named entity exists in the input text, performing, by a rule based named entity recognizer, a second stage NER on the input text to generate a second stage NER result; if the first stage NER determines at least one named entity exists in the input text, generating, by the compressed NER-model-based named entity recognizer, a first stage NER result; and integrating, by a NER result integrator, the first stage NER result and the second stage NER result to generate a final NER result.

    Modified pseudo-cylindrical mapping of spherical video using linear interpolation of empty areas for compression of streamed images

    公开(公告)号:US10735765B2

    公开(公告)日:2020-08-04

    申请号:US16002165

    申请日:2018-06-07

    发明人: Tak Wai Shen

    摘要: A panoramic video stream is compressed. Sinusoidal projection is performed on spherical input images to generate pseudo-cylindrical projection images. A lower-left region and a lower-right region of the image are cut and moved to upper corners of the rectangular bounding box around the pseudo-cylindrical projection image. These upper corners are non-effective areas of default dark pixels with no image pixels. A bottom one-third of the rows of pixels from the image that contained the moved regions are deleted, compressing the image by 33%. Default dark pixels in interface regions between the moved regions and the pseudo-cylindrical projection image are linear interpolated to provide gradual changes in pixel values across the remaining formerly non-effective regions, preventing encoding artifacts caused by abrupt changes in pixel values. Functions may be implemented using lookup tables. Non-focus image areas may be downsampled for additional compression using multi-resolution mapping and adaptive view streaming.

    Image Pre-Processing for Accelerating Cytological Image Classification by Fully Convolutional Neural Networks

    公开(公告)号:US20190355119A1

    公开(公告)日:2019-11-21

    申请号:US15983434

    申请日:2018-05-18

    摘要: A fully convolutional network (FCN) implemented on a specialized processor optimized for convolution computation can achieve a speed-up in cell classification. Without re-optimizing the specialized processor, a further speed-up is achieved by compacting a testing image of cells, and processing the compacted testing image with the FCN. The testing image is first segmented into a background and regions of interest (ROIs). The ROIs are packed closer together by rearranging the ROIs without resizing them under a constraint that any two adjacent rearranged ROIs are separated by a distance in pixel not less than a minimum distance determined according to stride values of FCN convolutional layers. Geometrical operations in ROI rearrangement include relocating the ROIs and, optionally, rotating the ROIs. The rearranged ROIs are enclosed by a boundary, typically a rectangular boundary, to form the compacted testing image having an area smaller than that of the testing image.