Abstract: The present disclosure discloses an automated particle implantation system comprising an active system and a passive system. The active system may be configured to obtain a scanning image of a scanned object. The active system may be also configured to plan a radioactive particle implantation treatment according to the scanning image and obtain a radioactive particle implantation treatment planning result. The active system may be further configured to control the passive system to execute a radioactive particle implantation operation based on the radioactive particle implantation treatment planning result. The present disclosure further discloses a particle chain generating mechanism. The present disclosure further discloses a puncture device terminal.

Abstract: The present invention relates to a proliferation enhancer. The enhancer comprises a protein molecule capable of initiating the cellular STATS and/or STAT3 signaling pathway and comprising the intracellular domain, the transmembrane domain and the extracellular domain. The present invention further relates to a lymphocyte expressing the proliferation enhancer and the use thereof as an immunotherapy drug.

Abstract: Disclosed in embodiments of the present disclosure are a driver chip and a display device. The driver chip includes two opposite long edges, and two opposite short edges connected to the long edges; the driver chip includes multiple output pins and multiple input pins; the output pins are close to one of the long edges; the input pins include first input pins, second input pins, and third input pins; the first input pins are close to the long edge opposite to the output pins; the second input pins are close to the short edges; the third input pins are close to the long edge and located on both sides of the output pins.

Abstract: Various examples of a system for peanut sorting and grading are disclosed herein. The system for grading peanut maturity, can include: a sample feeder configured to supply individual peanuts to an imaging area; a sorting board comprising a plurality of chutes and a plurality of gates, each chute of the plurality of chutes designated for a grade of peanut; and program instructions to obtain the digital image of the individual peanut; determine the grade of the individual peanut; and sort the individual peanut based on the grade of the individual peanut. A method for grading peanut maturity, can include feeding an individual peanut to an imaging area; obtaining a digital image of the individual peanut; determining a grade of the individual peanut based on an average color; and sorting the individual peanut in a chute of a sorting board based on the grade of the individual peanut.

Abstract: The present disclosure provides peanut maturity grading systems and methods for quickly, efficiently, and objectively determining a peanut maturity grade for a crop of peanuts and determining an optimal harvest time for the crop. Embodiments of systems and methods of the present disclosure can be performed in the field or field-side and do not require assistance of a trained peanut grading specialist.

Abstract: The present disclosure provides peanut maturity grading systems and methods for quickly, efficiently, and objectively determining a peanut maturity grade for a crop of peanuts and determining an optimal harvest time for the crop. Embodiments of systems and methods of the present disclosure can be performed in the field or field-side and do not require assistance of a trained peanut grading specialist.

Abstract: Various examples of a system for peanut sorting and grading are disclosed herein. The system for grading peanut maturity, can include: a sample feeder configured to supply individual peanuts to an imaging area; a sorting board comprising a plurality of chutes and a plurality of gates, each chute of the plurality of chutes designated for a grade of peanut; and program instructions to obtain the digital image of the individual peanut; determine the grade of the individual peanut; and sort the individual peanut based on the grade of the individual peanut. A method for grading peanut maturity, can include feeding an individual peanut to an imaging area; obtaining a digital image of the individual peanut; determining a grade of the individual peanut based on an average color; and sorting the individual peanut in a chute of a sorting board based on the grade of the individual peanut.

Abstract: A method, a computer program product, and a computer system for determining a location using street view images. A mobile device obtains an image captured by the mobile device, obtains a set of street view images, and obtains a first graph of the image captured by the mobile device and a plurality of second graphs of the set of the street view images. The first graph includes nodes representing interest points in the image captured by the mobile device, and the plurality of the second graphs includes nodes representing interest points in the set of the street view images. The mobile device determines a location of the mobile device, based on relevance between the first graph and the plurality of the second graphs.

Abstract: The present disclosure provides peanut maturity grading systems and methods for quickly, efficiently, and objectively determining a peanut maturity grade for a crop of peanuts and determining an optimal harvest time for the crop. Embodiments of systems and methods of the present disclosure can be performed in the field or field-side and do not require assistance of a trained peanut grading specialist.

Abstract: This disclosure provides a method, a computing system and a computer program product for optimizing computer-readable commands. The method includes detecting an intention of a set of commands based on a semantic model. The semantic model represents the set of commands and contexts of execution of the set of commands. The method further includes obtaining a predetermined semantic sub-model associated with the intention and updating the semantic model with the predetermined semantic sub-model. The method further includes generating a script of commands based on the updated semantic model.

Abstract: A method, a computer program product, and a computer system for determining a location using street view images. A mobile device obtains an image captured by the mobile device, obtains a set of street view images, and obtains a first graph of the image captured by the mobile device and a plurality of second graphs of the set of the street view images. The first graph includes nodes representing interest points in the image captured by the mobile device, and the plurality of the second graphs includes nodes representing interest points in the set of the street view images. The mobile device determines a location of the mobile device, based on relevance between the first graph and the plurality of the second graphs.

Abstract: This disclosure provides a method, a computing system and a computer program product for optimizing computer-readable commands. The method includes detecting an intention of a set of commands based on a semantic model. The semantic model represents the set of commands and contexts of execution of the set of commands. The method further includes obtaining a predetermined semantic sub-model associated with the intention and updating the semantic model with the predetermined semantic sub-model. The method further includes generating a script of commands based on the updated semantic model.

Abstract: The present disclosure provides peanut maturity grading systems and methods for quickly, efficiently, and objectively determining a peanut maturity grade for a crop of peanuts and determining an optimal harvest time for the crop. Embodiments of systems and methods of the present disclosure can be performed in the field or field-side and do not require assistance of a trained peanut grading specialist.

Abstract: A method, a computer program product, and a computer system for determining a location using street view images. A mobile device obtains an image captured by the mobile device, obtains a set of street view images, and obtains a first graph of the image captured by the mobile device and a plurality of second graphs of the set of the street view images. The first graph includes nodes representing interest points in the image captured by the mobile device, and the plurality of the second graphs includes nodes representing interest points in the set of the street view images. The mobile device determines a location of the mobile device, based on relevance between the first graph and the plurality of the second graphs.

Abstract: A method, a computer program product, and a computer system for determining a location using street view images. A mobile device obtains an image captured by the mobile device, obtains a set of street view images, and obtains a first graph of the image captured by the mobile device and a plurality of second graphs of the set of the street view images. The first graph includes nodes representing interest points in the image captured by the mobile device, and the plurality of the second graphs includes nodes representing interest points in the set of the street view images. The mobile device determines a location of the mobile device, based on relevance between the first graph and the plurality of the second graphs.

Abstract: A method, system and computer-usable medium are disclosed for managing resource capacity for the provision of cloud-based services. Application deployment and undeployment data is received, and then processed, to perform an update of a capacity-weighted graph to reflect a set of applications deployed in a cloud computing environment. The application deployment and undeployment data is then further processed to determine a set of resource dependencies associated with the set of deployed applications. Thereafter, monitoring operations are performed to monitor consumption of a set of services associated with the set of deployed applications. Further monitoring operations are then performed to monitor requests from the set of deployed applications to predict the need for the provision of a set of additional services for consumption at runtime.

Abstract: A method and system of implementing continuous deployment of scripts in languages that only support single deployment. The method and system may develop incremental scripts based on differences between a pending script and an implemented script.

Abstract: In an approach to tracking at least one target subject in a camera network, a search is started to find a target subject on a camera within a camera network. Features are extracted from the target subject and search queries are initiated in other nearby cameras within the camera network. Search queries attempt to detect target subjects and present the finds in a ranked order. Application of aggregate searches in multiple cameras and prior search results are used to improve matching results in the camera network; propagate a search of the target subject to discover the full pathway in the camera network; and project future occurrences of the target subject in subsequent cameras in the camera network.

Abstract: A method for translating a webpage includes receiving an HTML package comprising one or more HTML files and one or more corresponding program integrated information (PII) files, identifying elements corresponding to the one or more HTML files to be translated into a target language, creating a mapping file corresponding to the identified elements, wherein the mapping file indicates a PII file to which each identified element corresponds as well as context information corresponding to each PII file, translating the PII files indicated by the mapping file into a target language to provide translated PII files, and replacing untranslated PII files in the HTML package with corresponding translated PII files to provide a translated package.

Abstract: In an approach to tracking at least one target subject in a camera network, a search is started to find a target subject on a camera within a camera network. Features are extracted from the target subject and search queries are initiated in other nearby cameras within the camera network. Search queries attempt to detect target subjects and present the finds in a ranked order. Application of aggregate searches in multiple cameras and prior search results are used to improve matching results in the camera network; propagate a search of the target subject to discover the full pathway in the camera network; and project future occurrences of the target subject in subsequent cameras in the camera network.