Abstract: A sampling tube bundle includes a tube bundle body and a joint assembly. The tube bundle body includes a gas sampling tube for transmitting sampling gas; a metal woven layer wrapping an outer circumference of the gas sampling tube; a heating pad comprising a heat tracing cable wrapping an outer circumference of the metal woven layer, for heating the sampling gas in the gas sampling tube; a flame resistant tape wound around an outer circumference of the of the heating pad; a plurality of signal transmission lines circumferentially spaced apart from one another are arranged outside the flame resistant tape; and a sheath located outside the signal transmission line. The joint assembly is arranged on an end of the tube bundle body, for connecting to an analysis device or a sampling device.

Abstract: Embodiments of the present disclosure include a system for optimizing an artificial neural network by configuring a model, based on a plurality of training parameters, to execute a training process, monitoring a plurality of statistics produced upon execution of the training process, and adjusting one or more of the training parameters, based on one or more of the statistics, to maintain at least one of the statistics within a predetermined range. In some embodiments, artificial intelligence (AI) processors may execute a training process on a model, the training process having an associated set of training parameters. Execution of the training process may produce a plurality of statistics. Control processor(s) coupled to the AI processor(s) may receive the statistics, and in accordance therewith, adjust one or more of the training parameters to maintain at least one of the statistics within a predetermined range during execution of the training process.

Abstract: The present disclosure relates to a gas purification apparatus and a trace substance detection device. The gas purification apparatus includes a first purification component, a second purification component and a switching component, wherein the switching component can be switched between a first state and a second state, the first purification component and a component to be purified form a gas purification loop in the first state, and the second purification component can provide a regeneration gas for the first purification component in the second state, so that water vapor and impurities in the first purification component are discharged to outside.

Abstract: The present application discloses a cross-media retrieval method based on deep semantic space, which includes a feature generation stage and a semantic space learning stage. In the feature generation stage, a CNN visual feature vector and an LSTM language description vector of an image are generated by simulating a perception process of a person for the image; and topic information about a text is explored by using an LDA topic model, thus extracting an LDA text topic vector. In the semantic space learning phase, a training set image is trained to obtain a four-layer Multi-Sensory Fusion Deep Neural Network, and a training set text is trained to obtain a three-layer text semantic network, respectively. Finally, a test image and a text are respectively mapped to an isomorphic semantic space by using two networks, so as to realize cross-media retrieval. The disclosed method can significantly improve the performance of cross-media retrieval.

Abstract: A video action detection method based on a convolutional neural network (CNN) is disclosed in the field of computer vision recognition technologies. A temporal-spatial pyramid pooling layer is added to a network structure, which eliminates limitations on input by a network, speeds up training and detection, and improves performance of video action classification and time location. The disclosed convolutional neural network includes a convolutional layer, a common pooling layer, a temporal-spatial pyramid pooling layer and a full connection layer. The outputs of the convolutional neural network include a category classification output layer and a time localization calculation result output layer. The disclosed method does not require down-sampling to obtain video clips of different durations, but instead utilizes direct input of the whole video at once, improving efficiency.

Abstract: A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.

Abstract: Embodiments of the present invention provide a routing method and apparatus. A controller receives a path measurement message, determines a path score of each of at least two paths based on a preset rule and the path measurement message. Then the controller determines a routing policy of a first customer-premises equipment based on the path score of each of the at least two paths, and sends the routing policy to the first customer-premises equipment. According to the present invention, path quality of each path can be scored based on the preset rule and the path measurement message obtained after measurement by the first customer-premises equipment; and the routing policy is generated based on path scores and delivered to the first customer-premises equipment, to ensure that customer-premises equipments in an entire network can transmit a data packet sent by a service application more quickly, stably, and securely.

Abstract: A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.

Abstract: The present invention discloses a vehicle-mounted large-flow fire-fighting foam fluid mixing system, including a supply kit, a mixing kit, a control kit, and a pipeline kit. The supply kit includes an auxiliary gas supply device, a fire pump, an integrated foam pump, a fire pump main motor, and a coupling. The mixing kit includes a fire monitor interface, a foam generating device, and a fluid mixing device. The control kit includes a foam mixing proportion single-chip microcomputer control system, an alarm module, a power module, an auxiliary air compressor switch module, a frequency converter, and a central control display screen. The pipeline kit includes an air drainage tube, a fire hose, a foam liquid pipe, and a pipeline valve. For the problems of flow fluctuation and low foam foaming efficiency, the present invention optimizes the design and adopts a new control policy, thereby implementing precise mixing under the large-flow condition.

Abstract: An assessment system includes a storage device and a processing circuit. The processing circuit is coupled to the storage device and configured to execute the instructions stored in the storage device. The storage device is configured for storing instructions of extracting at least one feature parameter corresponding to at least one defect detected on an object respectively; determining at least one feature evaluation according to the at least one feature parameter respectively; weighting the at least one feature evaluation to calculate at least one weighted feature evaluation respectively; summing the at least one weighted feature evaluation to calculate at least one total score corresponding to at least one lesson-learnt case; and ranking the at least one total score corresponding to the at least one lesson-learnt case to find out a suspected root cause corresponding to one of the at least one lesson-learnt case with higher priority.

Abstract: A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.

Abstract: Embodiments of the present invention provide a routing method and apparatus. A controller receives a path measurement message, determines a path score of each of at least two paths based on a preset rule and the path measurement message. Then the controller determines a routing policy of a first customer-premises equipment based on the path score of each of the at least two paths, and sends the routing policy to the first customer-premises equipment. According to the present invention, path quality of each path can be scored based on the preset rule and the path measurement message obtained after measurement by the first customer-premises equipment; and the routing policy is generated based on path scores and delivered to the first customer-premises equipment, to ensure that customer-premises equipments in an entire network can transmit a data packet sent by a service application more quickly, stably, and securely.

Abstract: The present invention generally relates to computer and web-based contact searches. Specifically, this invention relates to systems and methods for extending contact searches to include contacts beyond those of the user initiating the search. Embodiments of the present invention allow users to search for indirect contacts beyond their direct contacts by providing the user results that include the contacts of their contacts and so on to a specified depth level and restricted by security implementations selectable by the indirect contacts.

Abstract: The present invention generally relates to computer and web-based contact searches. Specifically, this invention relates to systems and methods for extending contact searches to include contacts beyond those of the user initiating the search. Embodiments of the present invention allow users to search for indirect contacts beyond their direct contacts by providing the user results that include the contacts of their contacts and so on to a specified depth level and restricted by security implementations selectable by the indirect contacts.

Abstract: The present invention generally relates to computer and web-based methods for employment matching and search services. Specifically, this invention relates to systems and methods for allowing employers and potential employees to create and edit job-time plans and match jobs with one or more potential employees based on specific criteria, such as job-time plans, availability and workload with matching made across a plurality of candidates.

Abstract: The present invention generally relates to computer and web-based contact searches. Specifically, this invention relates to systems and methods for extending contact searches to include contacts beyond those of the user initiating the search. Embodiments of the present invention allow users to search for indirect contacts beyond their direct contacts by providing the user results that include the contacts of their contacts and so on to a specified depth level and restricted by security implementations selectable by the indirect contacts.

Abstract: The present invention generally relates to computer and web-based calendaring systems. Specifically, this invention relates to systems and methods for synchronizing, organizing and analyzing calendars, events and the scheduling thereof. Embodiments of the present invention allow one or more users to schedule events based on specific categorizations, search and match calendar availability and usage based on such specific categorizations, both on their own schedule and the schedule of others, and provide statistical analysis of personal and third-party calendars based on time utilization and categorization of events/time spent.