Abstract: A system for extracting hydrogen gas from a liquid hydrogen carrier may include a hydrogen gas reactor, a catalyst for facilitating extraction of the hydrogen gas from the liquid hydrogen carrier, and a reservoir for containing the liquid hydrogen carrier and a spend liquid hydrogen carrier. The system may be configured to regulate a flow of liquid hydrogen carrier in and out of the hydrogen gas reactor, to move a catalyst relative to a volume of the liquid hydrogen carrier, and to provide a continuous flow of the hydrogen gas, in response to a demand for the hydrogen gas.

Abstract: A method and a distributed system for use in a distributed system configured to be implemented in one or more clusters of a communication network for delivering messages within the distributed system, wherein the method and the distributed system are characterized in that the messages comprise a data payload and a header that comprises a tuple of metadata of the data payload.

Abstract: A disaggregated routing system is provided for use in a communication network comprising a plurality of white boxes, wherein at least four of the plurality of white boxes are each configured to carry out a functionality different from the functionalities which the other three of the at least four of the plurality of white boxes are configured to carry out, and wherein each of the at least four of the plurality of white boxes is identified based on its functionality.

Abstract: A distributed routing system is provided for use in a communication network. The distributed routing system comprises a plurality of forwarding modules and a plurality of fabric modules. At least one counter located at at least one respective fabric module is configured to receive data relating to the number of packets being forwarded via physical and/or logical interfaces associated with at least two of the plurality of forwarding modules.

Abstract: Presented herein are systems, methods and apparatuses for increasing reliability of face recognition in analysis of images captured by drone mounted imaging sensors, comprising: recognizing a target person in one or more iterations, each iteration comprising: identifying one or more positioning properties of the target person based on analysis of image(s) captured by imaging sensor(s) mounted on a drone operated to approach the target person, instructing the drone to adjust its position to an optimal facial image capturing position selected based on the positioning property(s), receiving facial image(s) of the target person captured by the imaging sensor(s), receiving a face classification associated with a probability score from machine learning model(s) trained to recognize the target person, and initiating another iteration in case the probability score does not exceed a certain threshold. Finally, the face classification may be outputted for use by one or more face recognition based systems.

Abstract: A disaggregated routing system is provided for use in a communication network comprising a plurality of white boxes, wherein at least four of the plurality of white boxes are each configured to carry out a functionality different from the functionalities which the other three of the at least four of the plurality of white boxes are configured to carry out, and wherein each of the at least four of the plurality of white boxes is identified based on its functionality.

Abstract: A communication router, adapted for use in an Open Shortest Path First (OSPF) protocol compliant communication network, is provided. The communication router comprises processing means configured to automatically adjust the communication router's cost metrics set for forwarding communication traffic via at least one link that extends between that communication router and a respective adjacent neighboring router. The cost metrics is adjusted in compliance with costs determined by the respective adjacent neighboring router for forwarding traffic from the respective adjacent neighboring router along that link.

Abstract: A method for use in a communication network is provided.

Abstract: Provided herein are systems and methods for applying adaptive classes thresholds to enhance object detection Machine Learning (ML) models by receiving a plurality of labeled feature vectors extracted from a plurality of images associated with a plurality of objects, one or more subsets of the plurality of feature vectors are associated with respective object(s) and labeled accordingly, computing an adaptive threshold for each object in a plurality of iterations, each iteration comprising: (1) computing deviation of a respective feature vector of the subset from an aggregated feature vector, (2) computing, in case the deviation is within a predefined value, a threshold enclosing the respective feature vector, and (3) adjusting the adaptive threshold to enclose the threshold of the respective feature vector and outputting the adaptive threshold(s) for classifying unlabeled feature vectors to class(s) of respective object(s) associated with the adaptive threshold(s) in which the unlabeled feature vectors fall.

Abstract: A method for use in a communication network is provided.

Abstract: Presented herein are systems and methods for increasing reliability of object detection, comprising, receiving a plurality of images of one or more objects captured by imaging sensor(s), receiving an object classification coupled with a first probability score from machine learning model(s) trained to detect the object(s) and applied to the image(s), computing a second probability score for classification of the object(s) according to physical attribute(s) of the object(s) estimated by analyzing the image(s), computing a third probability score for classification of the object(s) according to a movement pattern of the object(s) estimated by analyzing at least some consecutive images, computing an aggregated probability score aggregating the first, second and third probability scores, and outputting, in case the aggregated probability score exceeds a certain threshold, the classification of each object coupled with the aggregated probability score for use by object detection based system(s).

Abstract: A fuel tank for storing a hydrogen liquid carrier and a spent hydrogen liquid carrier includes a substantially rigid exterior tank wall including a first chamber and a second chamber. The first chamber is fluidly disconnected from the second chamber, and the second chamber includes a dynamically expandable and contractible enclosure, the enclosure being configured to define a dynamic boundary between the hydrogen liquid carrier and spent hydrogen liquid carrier. The fuel tank also includes a first channel in flow communication with one of the first chamber or the second chamber and a second channel in flow communication with another of the first chamber or the second chamber, wherein the first channel and the second channel are flow connected such that a flow through one of the first or second channels is returned to the another of the first or second channels, and that during the flow, the dynamic boundary changes position causing a change in a volume of the second chamber.

Abstract: A communication router, adapted for use in an Open Shortest Path First (OSPF) protocol compliant communication network, is provided. The communication router comprises processing means configured to automatically adjust the communication router's cost metrics set for forwarding communication traffic via at least one link that extends between that communication router and a respective adjacent neighboring router. The cost metrics is adjusted in compliance with costs determined by the respective adjacent neighboring router for forwarding traffic from the respective adjacent neighboring router along that link.

Abstract: A system for extracting hydrogen gas from a liquid hydrogen carrier may include a hydrogen gas reactor, a catalyst for facilitating extraction of the hydrogen gas from the liquid hydrogen carrier, and a reservoir for containing the liquid hydrogen carrier and a spend liquid hydrogen carrier. The system may be configured to regulate a flow of liquid hydrogen carrier in and out of the hydrogen gas reactor, to move a catalyst relative to a volume of the liquid hydrogen carrier, and to provide a continuous flow of the hydrogen gas, in response to a demand for the hydrogen gas.

Abstract: Presented herein are systems and methods for increasing reliability of object detection, comprising, receiving a plurality of images of one or more objects captured by imaging sensor(s), receiving an object classification coupled with a first probability score from machine learning model(s) trained to detect the object(s) and applied to the image(s), computing a second probability score for classification of the object(s) according to physical attribute(s) of the object(s) estimated by analyzing the image(s), computing a third probability score for classification of the object(s) according to a movement pattern of the object(s) estimated by analyzing at least some consecutive images, computing an aggregated probability score aggregating the first, second and third probability scores, and outputting, in case the aggregated probability score exceeds a certain threshold, the classification of each object coupled with the aggregated probability score for use by object detection based system(s).

Abstract: Provided herein are systems and methods for applying adaptive classes thresholds to enhance object detection Machine Learning (ML) models by receiving a plurality of labeled feature vectors extracted from a plurality of images associated with a plurality of objects, one or more subsets of the plurality of feature vectors are associated with respective object(s) and labeled accordingly, computing an adaptive threshold for each object in a plurality of iterations, each iteration comprising: (1) computing deviation of a respective feature vector of the subset from an aggregated feature vector, (2) computing, in case the deviation is within a predefined value, a threshold enclosing the respective feature vector, and (3) adjusting the adaptive threshold to enclose the threshold of the respective feature vector and outputting the adaptive threshold(s) for classifying unlabeled feature vectors to class(s) of respective object(s) associated with the adaptive threshold(s) in which the unlabeled feature vectors fall.

Abstract: Presented herein are systems, methods and apparatuses for increasing reliability of face recognition in analysis of images captured by drone mounted imaging sensors, comprising: recognizing a target person in one or more iterations, each iteration comprising: identifying one or more positioning properties of the target person based on analysis of image(s) captured by imaging sensor(s) mounted on a drone operated to approach the target person, instructing the drone to adjust its position to an optimal facial image capturing position selected based on the positioning property(s), receiving facial image(s) of the target person captured by the imaging sensor(s), receiving a face classification associated with a probability score from machine learning model(s) trained to recognize the target person, and initiating another iteration in case the probability score does not exceed a certain threshold. Finally, the face classification may be outputted for use by one or more face recognition based systems.

Abstract: A distributed routing system is described for use in a communication network. The routing system includes: at least one processor configured as a routing engine and/or a management engine, at least one switch fabric controller configured for controlling out-of-band traffic arriving thereat, and a plurality of white boxes, each being a stand-alone hardware comprising at least one line card and/or at least one fabric switching unit for providing switching and/or routing capabilities within a forwarding plane of the distributed routing system, and wherein the at least one control switch is capable of connecting the plurality of white boxes to the at least one processor, thereby enabling at least one processor to manage the routing of traffic to/from the plurality of white boxes.

Abstract: A fuel tank for storing a hydrogen liquid carrier and a spent hydrogen liquid carrier includes a substantially rigid exterior tank wall including a first chamber and a second chamber. The first chamber is fluidly disconnected from the second chamber, and the second chamber includes a dynamically expandable and contractible enclosure, the enclosure being configured to define a dynamic boundary between the hydrogen liquid carrier and spent hydrogen liquid carrier. The fuel tank also includes a first channel in flow communication with one of the first chamber or the second chamber and a second channel in flow communication with another of the first chamber or the second chamber, wherein the first channel and the second channel are flow connected such that a flow through one of the first or second channels is returned to the another of the first or second channels, and that during the flow, the dynamic boundary changes position causing a change in a volume of the second chamber.

Abstract: A reaction chamber for generating hydrogen gas using a hydrogen liquid carrier line may include a channel including a catalyst for causing the hydrogen gas to be produced from a hydrogen liquid carrier, the channel including an inlet end for the hydrogen liquid carrier and an outlet end for a spent carrier. The reaction chamber may also include a valve for controlling a rate of flow of the hydrogen liquid carrier flowing through the channel; a gas outlet for evacuating the hydrogen gas generated in the channel; and at least one processor configured to receive at least one indicator of a demand for the hydrogen gas and to control the valve to adjust the rate of flow of the hydrogen liquid carrier to meet the demand for the hydrogen gas.