Abstract: A semiconductor device and a method for manufacturing the semiconductor device are provided. The semiconductor device comprises a substrate and a wafer disposed on the substrate. The wafer includes a p-doped layer disposed on the substrate; a first diode disposed on the p-doped layer; a second diode disposed on the p-doped layer; a third diode disposed on the p-doped layer; and a dielectric layer disposed on the substrate and covering the first, second, and third diodes. The first, second, and third diodes are disposed side by side.

Abstract: A semiconductor image sensor includes a pixel. The pixel includes a first substrate; and a photodiode in the first substrate. The semiconductor image sensor further includes an interconnect structure electrically connected to the pixel. The semiconductor image sensor further includes a reflection structure between the interconnect and the photodiode, wherein the reflection structure is configured to reflect light passing through the photodiode back toward the photodiode.

Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.

Abstract: An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).

Abstract: An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).

Abstract: A system and method for privacy identity control for sharing media on a social media platform includes receiving a digital image encoded with a privacy identification data from a media capturing device for sharing on the social media platform, retrieving a first key based on the privacy identification data for decrypting an encrypted personal privacy protocol, wherein the personal privacy protocol is encrypted using a second key, decrypting the encrypted personal privacy protocol using the first key to obtain a decrypted personal privacy protocol, and displaying the digital image on the social media platform based on the decrypted personal privacy protocol.

Abstract: A computer-implemented method for fording depth estimation based on a real-time image recognition is provided according an embodiment of the present disclosure. In the method, a first image of a low-lying road being submerged under a bridge can be acquired. At least one second image of the low-lying road without being submerged can be determined. A fording depth of the low-lying road can be estimated based on the first image and the at least one second image.

Abstract: In an approach for smart collaboration, a plurality of images are received. Each image of the plurality of images is from a different device of a plurality of devices. The plurality of images are combined into a single combined image. The combined image is transferred to the plurality of devices.

Abstract: An approach is provided to provide URLs based on a digital subject matter image (DSMI) received from a requestor. The approach identifies a set of classification labels pertaining to the DSMI and matches the set of classification labels against multiple sets of predefined labels with each of the sets of predefined labels corresponding to a URL. The matching results in a selected URL pertaining to the DSMI with this URL being returned to the requestor. In one embodiment, the approach is performed by a domain name system (DNS).

Abstract: A computer-implemented method for fording depth estimation based on a real-time image recognition is provided according an embodiment of the present disclosure. In the method, a first image of a low-lying road being submerged under a bridge can be acquired. At least one second image of the low-lying road without being submerged can be determined. A fording depth of the low-lying road can be estimated based on the first image and the at least one second image.

Abstract: In an approach for smart collaboration, a plurality of images are received. Each image of the plurality of images is from a different device of a plurality of devices. The plurality of images are combined into a single combined image. The combined image is transferred to the plurality of devices.

Abstract: Determining a photo sharing suggestion regarding a photo to be shared by a user to a social media platform. The photo to be shared contains at least one other person than the user.

Abstract: A system and method for privacy identity control for sharing media on a social media platform includes receiving a digital image encoded with a privacy identification data from a media capturing device for sharing on the social media platform, retrieving a first key based on the privacy identification data for decrypting an encrypted personal privacy protocol, wherein the personal privacy protocol is encrypted using a second key, decrypting the encrypted personal privacy protocol using the first key to obtain a decrypted personal privacy protocol, and displaying the digital image on the social media platform based on the decrypted personal privacy protocol.

Abstract: An approach is provided to provide URLs based on a digital subject matter image (DSMI) received from a requestor. The approach identifies a set of classification labels pertaining to the DSMI and matches the set of classification labels against multiple sets of predefined labels with each of the sets of predefined labels corresponding to a URL. The matching results in a selected URL pertaining to the DSMI with this URL being returned to the requestor. In one embodiment, the approach is performed by a domain name system (DNS).

Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.