Encoding data from genetic traits relevant to illness diagnosis and heritage

    公开(公告)号:US10347364B2

    公开(公告)日:2019-07-09

    申请号:US15264893

    申请日:2016-09-14

    摘要: Methods and systems are disclosed for encoding and decoding data from genetic traits. In one embodiment, the invention provides a method of encoding data from genetic traits. The method comprises encoding genetic traits information, including using quantum dot wavelengths to identify distinct genetic traits, and using numbers of the quantum dots to represent probabilities associated with the traits. In an embodiment, the invention provides a genetic characteristics decoding system for decoding genetic information encoded using quantum dots in a carrier. The decoding system comprises a light source for charging the quantum dots in the carrier; a scanner for scanning the carrier to retrieve information from the charged quantum dots; and a processing system for processing the retrieved information to determine quantum dot wavelengths to identify distinct genetic traits, and to determine numbers of the quantum dots to identify probabilities associated with the genetic traits.

    DYNAMICALLY GENERATED DIALOG
    3.
    发明申请

    公开(公告)号:US20190156821A1

    公开(公告)日:2019-05-23

    申请号:US15820560

    申请日:2017-11-22

    摘要: Systems, methods and platforms for generating and improving conversational dialogs between a computer system and a user to create more intelligent, realistic human-like conversations. The systems, methods and platforms achieve a realistic human conversation by identify parameters such as the user's culture, age and known interests, identify a corpus that contains the knowledge appropriate for achieving conversational goals to a perceived topic of interest and generate expressions into dialog that may be extracted from human generated sources. The system appropriately matches the targeted user's parameters and topic based on the input of the user initiating the dialog interaction. The system may analyze and/or record the emotion of the user, cognitive context, gestures and the user's expressions, which may be performed using one or more recording systems to increase the accuracy of topic identification and the appropriate dialog responses.

    Extracting information from surface coatings

    公开(公告)号:US10223627B2

    公开(公告)日:2019-03-05

    申请号:US15917177

    申请日:2018-03-09

    摘要: A method and system for extracting information from a surface coated with a coating containing quantum dots are disclosed. In embodiments, the method comprises charging the quantum dots in the surface coating, scanning the surface to retrieve information from the quantum dots, and processing the retrieved information to identify data encoded in the quantum dots. In embodiments of the invention, the processing includes filtering the retrieved information to adjust the received information based on defined effects of the coating. In embodiments of the invention, the filtering includes filtering the retrieved information to account for chromatic deviation due to the color of the coated surface. In embodiments of the invention, the quantum dots include a plurality of different types of quantum dots, and the processing the retrieved information includes processing the retrieved information to distinguish between the information retrieved from the different types of quantum dots.

    MANAGING DATA AND DATA USAGE IN IOT NETWORK
    7.
    发明申请

    公开(公告)号:US20200374304A1

    公开(公告)日:2020-11-26

    申请号:US16421156

    申请日:2019-05-23

    IPC分类号: H04L29/06 H04L29/08 H04L12/26

    摘要: In an approach, a processor receives from a network device a request. A processor obtains from a database a device profile for the network device. A processor determines whether the device profile of the network device has a data usage pattern related to data identified by a data identifier. In response to determining the device profile has a related data usage pattern, a processor receives the related data usage pattern from the database. In response to determining the device profile does not have a related data usage pattern, a processor obtains a device type profile from the database. A processor classifies the data usage request based on at least one of the device profile and the device type profile. A processor executes a security action based on the classification of the data usage request. A processor stores the data usage request and executed security action to the database.

    SHARED HARDWARE AND SOFTWARE RESOURCE REPLACEMENT

    公开(公告)号:US20200174846A1

    公开(公告)日:2020-06-04

    申请号:US16786410

    申请日:2020-02-10

    摘要: A method and system for improving shared hardware and software resource system is provided. The method includes detecting and registering an Internet of things (IOT) device connected to a network. Hardware/software resources and sensors associated with hardware and software operations executed by the IOT device are identified and all available data and associated metadata associated with the hardware/software resources and the sensors are stored in a database. Additional available hardware/software resources and sensors associated with a plurality of IOT devices connected to the network are displayed and a command signal for assigning a specified hardware/software resource or sensor to the IOT device is executed. A network identification code associated with a location of the specified hardware/software resource or sensor is retrieved and enabled with respect to said IOT device.

    DYNAMICALLY GENERATED DIALOG
    9.
    发明申请

    公开(公告)号:US20200035227A1

    公开(公告)日:2020-01-30

    申请号:US16590964

    申请日:2019-10-02

    摘要: A method and system or dynamically generating computerized dialog. oth natural language input previously from a user and cognitive context are analyzed. A dictionary is selected as a function of the natural language input and stored information previously known about the user. A corpus including knowledge of the topics of interest is further selected. One or more expressions are extracted from a network accessible data source. The one or more expressions extracted from the network accessible data source are filtered through the dictionary and the corpus. Dialog is generated in response to the natural language input, as a function of the cognitive context and topic of interest by integrating the one or more expressions filtered through the dictionary and corpus.