Abstract: Provided are techniques, devices and systems that enable updating of a reportable parameter table database when a reconfigured optical communication path is formed by switching performed by a branching unit in an undersea optical communication transmission system. A processor may obtain system attributes of each respective segment of a number of segments of the reconfigured optical communication path from a first end point to a second endpoint. The system attributes of each respective segment of the number of segments may be evaluated from the first end point to the second endpoint of the reconfigured optical communication path. A reportable parameter table may be generated based on the evaluated system attributes that includes a listing of operational and structural parameters of system from the first endpoint to the second endpoint of the reconfigured optical communication path.

Abstract: Provided are techniques, devices and systems that enable updating of a reportable parameter table database when a reconfigured optical communication path is formed by switching performed by a branching unit in an undersea optical communication transmission system. A processor may obtain system attributes of each respective segment of a number of segments of the reconfigured optical communication path from a first end point to a second endpoint. The system attributes of each respective segment of the number of segments may be evaluated from the first end point to the second endpoint of the reconfigured optical communication path. A reportable parameter table may be generated based on the evaluated system attributes that includes a listing of operational and structural parameters of system from the first endpoint to the second endpoint of the reconfigured optical communication path.

Abstract: A sequence identification method and apparatus, an image processing device and a storage medium, which belong to the field of image identification, are provided. The method includes: performing feature extraction on a to-be-identified target image through an image identification model to obtain a first feature map, where the first feature map includes a plurality of first image features; performing time sequence relationship extraction on the first feature map based on a convolutional neural network layer and a fully connected layer in the image identification model, to obtain a second feature map that merges upper and lower information included in the to-be-identified target image, where the second feature map includes a plurality of second image features; and performing character identification on the to-be-identified target image in parallel based on the plurality of first image features and the plurality of second image features to obtain a character sequence.

Abstract: Provided are techniques, devices and systems that enable updating of a reportable parameter table database when a reconfigured optical communication path is formed by switching performed by a branching unit in an undersea optical communication transmission system. A processor may obtain system attributes of each respective segment of a number of segments of the reconfigured optical communication path from a first end point to a second endpoint. The system attributes of each respective segment of the number of segments may be evaluated from the first end point to the second endpoint of the reconfigured optical communication path. A reportable parameter table may be generated based on the evaluated system attributes that includes a listing of operational and structural parameters of system from the first endpoint to the second endpoint of the reconfigured optical communication path.

Abstract: Techniques to generate network simulation scenarios are described. In one embodiment, an apparatus may comprise a records component operative to receive an example network configuration record; receive an example network operation record; a machine learning management component operative to generate a network operation model using a machine learning component based on the example network configuration record as an example input and the example network operation record as an example output; and a system-test component operative to receive a system-test network configuration record; and generate a system-test network operation record based on the system-test network configuration record using the network operation model. Other embodiments are described and claimed.

Abstract: An embodiment of the present disclosure includes an RPC architecture that includes a central manager gateway with a client-facing side that allows for client access via web services protocols such as SOAP and REST. The central manager gateway further includes a server-facing side that can communicate with a plurality of network elements, with each network element implementing a common IDL architecture and RPC manager instance. Each of the network elements, and in particular their RPC manager instance, may communicate with other RPC manager instances to ‘learn’ the network topology for the system and maintain a topology database for purposes of exposing a naming service, e.g., a CORBA naming service. The network elements may elect one master element while the others remain as slaves. The central manager gateway may automatically locate the master network element and forward client requests to the same for servicing.

Abstract: Techniques to generate network simulation scenarios are described. In one embodiment, an apparatus may comprise a records component operative to receive an example network configuration record; receive an example network operation record; a machine learning management component operative to generate a network operation model using a machine learning component based on the example network configuration record as an example input and the example network operation record as an example output; and a system-test component operative to receive a system-test network configuration record; and generate a system-test network operation record based on the system-test network configuration record using the network operation model. Other embodiments are described and claimed.

Abstract: Techniques to generate network simulation scenarios are described. In one embodiment, an apparatus may comprise a records component operative to receive an example network configuration record; receive an example network operation record; a machine learning management component operative to generate a network operation model using a machine learning component based on the example network configuration record as an example input and the example network operation record as an example output; and a system-test component operative to receive a system-test network configuration record; and generate a system-test network operation record based on the system-test network configuration record using the network operation model. Other embodiments are described and claimed.

Abstract: An embodiment of the present disclosure includes an RPC architecture that includes a central manager gateway with a client-facing side that allows for client access via web services protocols such as SOAP and REST. The central manager gateway further includes a server-facing side that can communicate with a plurality of network elements, with each network element implementing a common IDL architecture and RPC manager instance. Each of the network elements, and in particular their RPC manager instance, may communicate with other RPC manager instances to ‘learn’ the network topology for the system and maintain a topology database for purposes of exposing a naming service, e.g., a CORBA naming service. The network elements may elect one master element while the others remain as slaves. The central manager gateway may automatically locate the master network element and forward client requests to the same for servicing.

Abstract: An embodiment of the present disclosure includes an RPC architecture that includes a central manager gateway with a client-facing side that allows for client access via web services protocols such as SOAP and REST. The central manager gateway further includes a server-facing side that can communicate with a plurality of network elements, with each network element implementing a common IDL architecture and RPC manager instance. Each of the network elements, and in particular their RPC manager instance, may communicate with other RPC manager instances to ‘learn’ the network topology for the system and maintain a topology database for purposes of exposing a naming service, e.g., a CORBA naming service. The network elements may elect one master element while the others remain as slaves. The central manager gateway may automatically locate the master network element and forward client requests to the same for servicing.

Abstract: An object recognition method and apparatus for a deformed image are provided. The method includes: inputting an image into a preset localization network to obtain a plurality of localization parameters for the image, wherein the preset localization network comprises a preset number of convolutional layers, and wherein the plurality of localization parameters are obtained by regressing image features in a feature map that is generated from a convolution operation on the image; performing a spatial transformation on the image based on the plurality of localization parameters to obtain a corrected image; and inputting the corrected image into a preset recognition network to obtain an object classification result for the image. In the process of the neural network based object recognition, the embodiment of the present application first transforms the deformed image that has deformation, and then performs the object recognition on the transformed image.

Abstract: Techniques to generate network simulation scenarios are described. In one embodiment, an apparatus may comprise a records component operative to receive an example network configuration record; receive an example network operation record; a machine learning management component operative to generate a network operation model using a machine learning component based on the example network configuration record as an example input and the example network operation record as an example output; and a system-test component operative to receive a system-test network configuration record; and generate a system-test network operation record based on the system-test network configuration record using the network operation model. Other embodiments are described and claimed.

Abstract: This application discloses a head region recognition method performed at a computing device. The method includes: acquiring an input image; processing the input image using n cascaded neural network layers to obtain n sets of candidate recognition results of a head region, each of the n neural network layers outputting one respective set of candidate recognition results, the neural network layer being used for recognizing the head region according to a preset extraction box, sizes of extraction boxes used by at least two of the neural network layers being different, and n being a positive integer and n?2; and aggregating the n sets of candidate recognition results to obtain a final recognition result of the head region in the input image. Therefore, head regions with different sizes in the input image can be recognized, thereby improving recognition accuracy.

Abstract: An embodiment of the present disclosure includes an RPC architecture that includes a central manager gateway with a client-facing side that allows for client access via web services protocols such as SOAP and REST. The central manager gateway further includes a server-facing side that can communicate with a plurality of network elements, with each network element implementing a common IDL architecture and RPC manager instance. Each of the network elements, and in particular their RPC manager instance, may communicate with other RPC manager instances to ‘learn’ the network topology for the system and maintain a topology database for purposes of exposing a naming service, e.g., a CORBA naming service. The network elements may elect one master element while the others remain as slaves. The central manager gateway may automatically locate the master network element and forward client requests to the same for servicing.

Abstract: An embodiment of the present disclosure includes an RPC architecture that includes a central manager gateway with a client-facing side that allows for client access via web services protocols such as SOAP and REST. The central manager gateway further includes a server-facing side that can communicate with a plurality of network elements, with each network element implementing a common IDL architecture and RPC manager instance. Each of the network elements, and in particular their RPC manager instance, may communicate with other RPC manager instances to ‘learn’ the network topology for the system and maintain a topology database for purposes of exposing a naming service, e.g., a CORBA naming service. The network elements may elect one master element while the others remain as slaves. The central manager gateway may automatically locate the master network element and forward client requests to the same for servicing.

Abstract: An object recognition method and apparatus for a deformed image are provided. The method includes: inputting an image into a preset localization network to obtain a plurality of localization parameters for the image, wherein the preset localization network comprises a preset number of convolutional layers, and wherein the plurality of localization parameters are obtained by regressing image features in a feature map that is generated from a convolution operation on the image; performing a spatial transformation on the image based on the plurality of localization parameters to obtain a corrected image; and inputting the corrected image into a preset recognition network to obtain an object classification result for the image. In the process of the neural network based object recognition, the embodiment of the present application first transforms the deformed image that has deformation, and then performs the object recognition on the transformed image.

Abstract: A system and method consistent with the present disclosure provides for automated line monitoring system (LMS) baselining that enables capturing and updating of operational parameters specific to each repeater and associated undersea elements based on high loss loopback (HLLB) data. The captured operational parameters may then be utilized to satisfy queries targeting specific undersea elements in a Command-Response (CR) fashion. Therefore, command-response functionality may be achieved without the added cost, complexity and lifespan issues related to deploying undersea elements with on-board CR circuitry. As generally referred to herein, operational parameters include any parameter that may be derived directly or indirectly from HLLB data. Some example non-limiting examples of operational parameters include span gain loss, input power, output power, gain, and gain tilt.

Abstract: An embodiment of the present disclosure includes an RPC architecture that includes a central manager gateway with a client-facing side that allows for client access via web services protocols such as SOAP and REST. The central manager gateway further includes a server-facing side that can communicate with a plurality of network elements, with each network element implementing a common IDL architecture and RPC manager instance. Each of the network elements, and in particular their RPC manager instance, may communicate with other RPC manager instances to ‘learn’ the network topology for the system and maintain a topology database for purposes of exposing a naming service, e.g., a CORBA naming service. The network elements may elect one master element while the others remain as slaves. The central manager gateway may automatically locate the master network element and forward client requests to the same for servicing.

Abstract: A system and method for automatically calibrating loopback data in a line monitoring system of an optical communication system. Extra peaks in loopback data are calibrated out of the loopback data used by the system by identifying pairs of peaks in the loopback data associated with test signal transmissions through the same high loss loopback path from opposite ends of the optical transmission path.

Abstract: A system and method consistent with the present disclosure provides for automated line monitoring system (LMS) baselining that enables capturing and updating of operational parameters specific to each repeater and associated undersea elements based on high loss loopback (HLLB) data. The captured operational parameters may then be utilized to satisfy queries targeting specific undersea elements in a Command-Response (CR) fashion. Therefore, command-response functionality may be achieved without the added cost, complexity and lifespan issues related to deploying undersea elements with on-board CR circuitry. As generally referred to herein, operational parameters include any parameter that may be derived directly or indirectly from HLLB data. Some example non-limiting examples of operational parameters include span gain loss, input power, output power, gain, and gain tilt.