Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that employ a distributed fiber optic sensor placement procedure that advantageously provides a desirable sensor coverage over a network at minimal cost.

Abstract: The invention provides a lightweight hand-held stabilizer comprising a gimbal and a 7-shaped handle. The 7-shaped handle comprises a first connection arm (1) and a second connection arm (2), one end of the first connection arm (1) is rigidly connected to one end of the second connection arm (2), and a movable connector(s) is arranged at the end face of the other end of the first connection arm (1) and/or the second connection arm (2). The present invention can provide multiple using modes of the stabilizer handle, and the user experience of a stabilizer product is enhanced.

Abstract: Described is a novel framework, we call intent-based computing jobs assignment framework, for efficiently accommodating a clients' computing job requests in a mobile edge computing infrastructure. We define the intent-based computing job assignment problem, which jointly optimizes the virtual topology design and virtual topology mapping with the objective of minimizing the total bandwidth consumption. We use the Integer Linear Programming (ILP) technique to formulate this problem, and to facilitate the optimal solution. In addition, we employ a novel and efficient heuristic algorithm, called modified Steiner tree-based (MST-based) heuristic, which coordinately determines the virtual topology design and the virtual topology mapping. Comprehensive simulations to evaluate the performance of our solutions show that the MST-based heuristic can achieve an efficient performance that is close to the optimal performance obtained by the ILP solution.

Abstract: A light-emitting assembly and a vehicle are provided in the disclosure. The light-emitting assembly includes a light-transmitting member and a pattern layer. The pattern layer is attached to a surface of the light-transmitting member and includes multiple micro-patterns arranged at intervals. Each of the multiple micro-patterns has a radial size ranging from 0.025 mm to 0.26 mm, and a distance between each two adjacent micro-patterns ranges from 0.2 mm to 1.5 mm. When the light-emitting assembly is powered on, the multiple micro-patterns are configured to emit light to enable the pattern layer to be visible. The light-emitting assembly provided in the disclosure can enhance the vehicle interior atmosphere.

Abstract: An advance in the art is made according to aspects of the present disclosure directed to a method that determines virtual topology design and resource allocation for dynamic intent-based computing jobs in a mobile edge computing infrastructure when client requests are dynamic. Our method according to aspects of the present disclosure is an unsupervised machine learning approach, so that there is no need for manual labeling or pre-processing in advance, while a training process and decision making is performed online. In sharp contrast to the prior art, our method according to aspects of the present disclosure utilizes reinforcement learning techniques to make an efficient assignment in which two neural networks—a policy neural network and a value neural network—are used interactively to achieve the assignment. A training process is performed through a batch (or group) processing style in an online manner.

Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives fiber failures.

Abstract: Aspects of the present disclosure describe a method of placement of sensors for DFOS systems, methods, and structures that advantageously employ concurrent sensing. In sharp contrast to the prior art, our inventive method—a heuristic method based on the Explore-and-Pick (EnP) algorithm, which we call a modified EnP (mEnP) method—includes two procedures. The first procedure of our mEnP method explores all possible sensing fiber routes (both linear and star-like routes) for each node in the given network. The second procedure applies a modified greedy algorithm for minimum set cover to select the minimum set of DFOS assignment to fully cover all the links in the given network.

Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives multiple fiber failures.

Abstract: A procedure to solve the DFOS placement problem that uses a genetic algorithm to achieve a global optimization of sensor placement. First, our procedure according to aspects of the present disclosure defines a fitness function that counts the number of DFOS sensors used. Second, the procedure uses a valid DFOS placement assignment to model an individual in the genetic algorithm. Each individual consists of N genes, where N is the number of nodes in the given network infrastructure, e.g., N=|V|. Each gene has two genomes: (1) a list of 0s and/or 1s, in which is represent the network nodes that are equipped with DFOS sensors, and 0s represent the nodes that are not equipped with DFOS sensors; (2) a list of sensing fiber routes. An individual that has smallest number of is in their genes will be considered as the strongest individual. Thirdly, the procedure randomly generates a population of individuals.

Abstract: Aspects of the present disclosure describe a method of placement of sensors for DFOS systems, methods, and structures that advantageously employ concurrent sensing. In sharp contrast to the prior art, our inventive method—a heuristic method based on the Explore-and-Pick (EnP) algorithm, which we call a modified EnP (mEnP) method—includes two procedures. The first procedure of our mEnP method explores all possible sensing fiber routes (both linear and star-like routes) for each node in the given network. The second procedure applies a modified greedy algorithm for minimum set cover to select the minimum set of DFOS assignment to fully cover all the links in the given network.

Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives fiber failures.

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that employ a distributed fiber optic sensor placement procedure that advantageously provides a desirable sensor coverage over a network at minimal cost.

Abstract: The invention provides a lightweight hand-held stabilizer comprising a gimbal and a 7-shaped handle. The 7-shaped handle comprises a first connection arm (1) and a second connection arm (2), one end of the first connection arm (1) is rigidly connected to one end of the second connection arm (2), and a movable connector(s) is arranged at the end face of the other end of the first connection arm (1) and/or the second connection arm (2). The present invention can provide multiple using modes of the stabilizer handle, and the user experience of a stabilizer product is enhanced.

Abstract: A method of packet handling in an information centric networking (ICN) network is provided. The method may include receiving an interest packet at an incoming interface of a network device. The interest packet may include a pending interest table (PIT) update indicator. After a determination that the PIT update indicator signifies aggregation, the method may include adding the incoming interface to a PIT entry associated with the interest packet. The method may also include determining whether the outgoing interface is in a set of requesting interfaces of the PIT entry. After a determination that the outgoing interface is in the set of requesting interfaces, the method may include removing the outgoing interface from the PIT entry and updating the PIT update indicator based on the PIT entry.

Abstract: A method of packet handling in an information centric networking (ICN) network is provided. The method may include receiving an interest packet at an incoming interface of a network device. The interest packet may include a pending interest table (PIT) update indicator. After a determination that the PIT update indicator signifies aggregation, the method may include adding the incoming interface to a PIT entry associated with the interest packet. The method may also include determining whether the outgoing interface is in a set of requesting interfaces of the PIT entry. After a determination that the outgoing interface is in the set of requesting interfaces, the method may include removing the outgoing interface from the PIT entry and updating the PIT update indicator based on the PIT entry.

Abstract: The present disclosure includes a method of intelligent routing in an information centric networking network, the method including receiving a first notification that a connection between a content host and a first network device has changed. The method may further include receiving a pending interest packet from the first network device, the pending interest packet requesting content stored on the content host, the content to be routed to a second network device, and receiving a second notification that a connection between the content host and a third network device has changed. The method may additionally include determining a new path to the second network device for the content requested by the pending interest packet that includes the third network device, and sending a message to instruct that a content packet containing the content responsive to the pending interest packet be routed to the second network device along the new path.