A method and computing apparatus for verifying an operability of a target device are provided. The method includes sequentially obtaining first image information of the target device, initiating a communication with the target device, obtaining second image information of the target device, comparing the first image information with the second image information; and determining whether the target device is operational based on a result of the comparing wherein the target device is determined as being operational when the first image information is different from the second image information, and the target device is determined as at least one of not receiving communications and not operational when the first image information is identical to the second image information.

A method and computing apparatus for verifying an operability of a target device are provided. The method includes sequentially obtaining first image information of the target device, initiating a communication with the target device, obtaining second image information of the target device, comparing the first image information with the second image information; and determining whether the target device is operational based on a result of the comparing wherein the target device is determined as being operational when the first image information is different from the second image information, and the target device is determined as at least one of not receiving communications and not operational when the first image information is identical to the second image information.

This invention provides a computer-implemented method of modifying an algorithm operating on a computing system, and a device for implementing said method, the method comprising the steps of: applying the algorithm to a first set of inputs; determining a relevance score for a first input of the first set of inputs based on: a first effectiveness value of the first input, wherein the first effectiveness value represents a contribution of first input to the algorithm, and a first computational cost of the first input, wherein the 1 first computational cost represents the computational resources of using the first input in the algorithm; defining a second set of inputs based on the determined relevance score of the first input; and applying the algorithm to the second set of inputs.

The present invention relates to a service system supporting a voice call using a digital assistant device, a method thereof, and a non-transitory computer readable medium having a computer program recorded thereon, and more particularly, to a service system which performs a call between a digital assistant device and a terminal corresponding to a call opponent through a voice command of a user and supports call conversion between the digital assistant device and a user terminal through the voice command of the user, a method thereof, and a non-transitory computer readable medium having a computer program recorded thereon.

A system and method for automated customer response system mapping and duplication to provide for a common Interactive Voice Response (“IVR”) system import language or structure, comprising a contact center crawler which connects with an existing automated contact center system, may navigate and map that system by recording and selecting each available option or by interfacing with the code that makes up the IVR itself to generate a model, records the response to each selected option, and feeds the options and responses to a tree creator; a CX model generator which organizes the options and responses into a data map such as a tree or more graph-like or map-like structure, where logical conditions or operations such as loops and recursion may be present; and a coding engine that generates programmatic code representing the data model that is imported into another IVR platform for execution.

A system and method for automated customer response system mapping and duplication to provide for a common Interactive Voice Response (“IVR”) system import language or structure, comprising a contact center crawler which connects with an existing automated contact center system, may navigate and map that system by recording and selecting each available option or by interfacing with the code that makes up the IVR itself to generate a model, records the response to each selected option, and feeds the options and responses to a tree creator; a CX model generator which organizes the options and responses into a data map such as a tree or more graph-like or map-like structure, where logical conditions or operations such as loops and recursion may be present; and a coding engine that generates programmatic code representing the data model that is imported into another IVR platform for execution.

A method includes receiving, from a mobile device, a request in a telecommunications system to invoke operations from an automation platform executed by processing circuitry to perform one or more of: executing, by the processing circuitry, one or more existing simulated failure experiments for the telecommunications system; determining, by the processing circuitry, whether a simulated failure blueprint is configured for specific simulated failure cases exist on the automation platform; determining, by the processing circuitry, whether a simulated failure template is configured to accept a targeted telecommunications domain and failure parameters exist on the automation platform; or instructing the mobile device to display recommended simulated failure experiments with selectable telecommunications domains and selectable failure parameters.

An IA server (call control apparatus) 31 includes a plurality of execution units 311A to 311C that execute respective virtual machines of a plurality of disaster recovery stations corresponding one-to-one to a plurality of active stations including a call control server that performs call processing at normal times, the plurality of disaster recovery stations including a virtualized call control server that performs call processing when an active station is not operating, and a control unit 312 that controls an operation of the virtual machines of the plurality of disaster recovery stations. The control unit 312 activates, at normal times, the virtual machines of the plurality of disaster recovery stations corresponding one-to-one to the plurality of active stations inside of the one hardware apparatus, deactivates, when any active station of the plurality of active stations is not operating, a virtual machine of a disaster recovery station of the plurality of disaster recovery stations other than a virtual machine of a disaster recovery station of the plurality of disaster recovery stations corresponding to the active station not operating, and operates only the virtual machine of the disaster recovery station corresponding to the active station not operating. At normal times, each of the virtual machines of the plurality of disaster recovery stations repeatedly receives data related to call processing from a corresponding active station of the plurality of active stations at a predetermined timing.

An IA server (call control apparatus) 31 includes a plurality of execution units 311A to 311C that execute respective virtual machines of a plurality of disaster recovery stations corresponding one-to-one to a plurality of active stations including a call control server that performs call processing at normal times, the plurality of disaster recovery stations including a virtualized call control server that performs call processing when an active station is not operating, and a control unit 312 that controls an operation of the virtual machines of the plurality of disaster recovery stations. The control unit 312 activates, at normal times, the virtual machines of the plurality of disaster recovery stations corresponding one-to-one to the plurality of active stations inside of the one hardware apparatus, deactivates, when any active station of the plurality of active stations is not operating, a virtual machine of a disaster recovery station of the plurality of disaster recovery stations other than a virtual machine of a disaster recovery station of the plurality of disaster recovery stations corresponding to the active station not operating, and operates only the virtual machine of the disaster recovery station corresponding to the active station not operating. At normal times, each of the virtual machines of the plurality of disaster recovery stations repeatedly receives data related to call processing from a corresponding active station of the plurality of active stations at a predetermined timing.

Systems, methods, and non-transitory computer-readable storage media which have instructions stored for execution on a processor, for automating the commissioning of a transport network element within a network. A system configured according to this disclosure can be an Automated Commissioning Tool which can initiate communications with a network element on the network. The Automated Commissioning Tool can then retrieve updated firmware corresponding to the network element and configure the network element to have the updated firmware. Finally, the Automated Commissioning Tool can determine, from a network plan, a first port on the network element which is to be connected via a cross-connect to a second port on the network element and establish the cross-connect on the network element. At this point the network element may be commissioned to operate as a transport network element within the network.