Abstract: An intelligent method for efficiently classifying concrete cracks from large amounts of image data is proposed, named inverted residual (IR) 7-Efficient Channel Attention and Convolutional Block Attention Module (EC) network. The IR7-EC network consists of a convolutional layer, seven inverted residual-ECA structures, a CBAM attention mechanism, a pooling layer, and multiple fully connected layers that are sequentially connected. The inverted residual-ECA structure consists of two components: a depthwise separable convolution-based inverted residual structure and an ECA attention mechanism. The new inverted residual structure facilitates the feature extraction of concrete cracks. Compared to conventional network structures like VGG and Resnet, the proposed IR7-EC network excels in both accuracy and efficiency. Once the IR7-EC network is fully trained, it can accurately classify various types of concrete cracks in captured images.

Abstract: A thermal runaway trigger method relates to the technical field of batteries. The thermal runaway trigger method includes: providing a battery cell and a heating member arranged in the battery cell; and heating the inside of the battery cell by the heating member, so as to cause a thermal runaway of the battery cell. The heating member is arranged inside the battery cell, and the heating member heats the inside of the battery cell to cause the thermal runaway of the battery cell, so that the inside of the battery cell can be heated to cause the thermal runaway of the battery cell in a relatively short time. Due to the reduced internal space of the battery cell, the range of diffusion of the heating member inside the battery cell is small, and the heat loss of the heating member is relatively small.

Abstract: A battery includes a cylindrical battery cell having a cylindrical side surface provided with a pressure relief mechanism, an electrical chamber configured to accommodate the battery cell, a collection chamber configured to collect emissions from the battery cell when the pressure relief mechanism is actuated, and an isolation component configured to isolate the electrical chamber from the collection chamber. The isolation component includes a first region and a second region. The first region is used for accommodating a first portion of the battery cell such that the first portion protrudes, towards the collection chamber, from a surface of the second region facing towards the collection chamber, and the pressure relief mechanism is disposed in a region of the cylindrical side surface located in the first portion such that the emissions are allowed to enter the collection chamber when the pressure relief mechanism is actuated.

Abstract: A boundary adaptive structural fatigue damage detection method driven by time-domain information entropy comprises a sensor sequence composed of several sensors arranged on the structure, which is used to apply excitation to the structure, collect the displacement time-history response curves at different positions on the structure, and establish a database of time-history data. According to the data set in the database, the information entropy of the time-history response at different positions on the acquisition structure is obtained based on the information entropy to measure the disorder degree of the time-domain response signal. According to the location of several sensors, the information entropy values of the time-history response are connected in turn to obtain the time-history information entropy curve of the whole structure. Analyze of time-history information entropy curve, and the information entropy curve will show jump phenomena to determine the location of the crack.

Abstract: A damage identification method for a cantilever beam based on a multifractal spectrum of a multi-scale reconstructed attractor includes: acquiring an original acceleration signal of the cantilever beam by a dynamic measurement system, performing stationary wavelet decomposition on a pretreated acceleration signal to obtain multi-scale sub-signals, selecting the multi-scale sub-signal that can represent main vibration characteristics of the cantilever beam for phase space reconstruction and normalization to obtain a normalized multi-scale reconstructed attractor, constructing the multifractal spectrum of the multi-scale reconstructed attractor, establishing a damage index based on a singularity index of the multifractal spectrum, and identifying and locating damage of the cantilever beam according to a relative numerical value of the damage index.

Abstract: A cable tension calculation method simultaneously considering the sag, inclination angle and bending stiffness includes: querying basic parameters of a stay cable according to design data and construction data; considering influences of the sag, the inclination angle ? and the bending stiffness EI, to calculate dimensionless parameters ?, ? and ?2; testing an acceleration response of the stay cable by an acceleration sensor, to identify a frequency ? of the acceleration response of the stay cable, further calculating a dimensionless frequency {circumflex over (?)} of the stay cable and the dimensionless parameters ?, ? and ?2, and substituting the dimensionless frequency {circumflex over (?)} of the stay cable into a vibration characteristic equation, to establish a function relation between the dimensionless frequency {circumflex over (?)} and a cable tension H* of the stay cable; and solving a root of the vibration characteristic equation, and identifying the cable tension H* of the stay cable according to

Abstract: A structural dynamic parameter identification method aided by a rPCK surrogate model comprises the following steps. Establish a finite element model that roughly reflects the structural system to be analyzed. Establish the dynamic parameter space sample set. The structural system response space sample set driven by the dynamic parameter space sample set is established by using the probabilistic finite element analysis. The robust polynomial Chaos Kriging surrogate model is obtained by mapping the dynamic parameter space sample set to the structural system response space sample set. The measured structural system response is used to drive the rPCK surrogate model, and then Bayesian inference is used to identify the structural dynamic parameters. The mean value of Bayesian posterior estimation is used as the estimated value of structural dynamic parameters. The proposed method creates conditions for establishing a high-fidelity finite element model of the actual engineering structural system.

Abstract: The system and method facilitates Real-Time-Kinematic (RTK) GNSS with long baseline between a rover receiver and a base station receiver, even in the presence of scintillation or ionospheric disturbances that spatially fluctuate. Residual atmospheric errors can be estimated by a dual error model in a filter to promote efficient fixing or resolution of carrier phase ambiguities.

Abstract: The system and method facilitates Real-Time-Kinematic (RTK) GNSS with long baseline between a rover receiver and a base station receiver, even in the presence of scintillation or ionospheric disturbances that spatially fluctuate. Residual atmospheric errors can be estimated by a dual error model in a filter to promote efficient fixing or resolution of carrier phase ambiguities.

Abstract: The present disclosure provides an ultrafast Doppler ultrasound method for estimating a blood flow velocity through repetitive compounding of multi-angle plane waves. The method includes: controlling an ultrasonic transducer to cyclically transmit plane waves (101) according to a sequence of deflection angles of {0, ??, ?, ??}; receiving echo signals (102) of the plane waves reflected by an area to be scanned; searching for three consecutive frames of signals with deflection angles in a sequence of {0, ??, ?} and {?, ??, 0} in the echo signals to obtain multiple frame groups (103); compounding the three consecutive frames of signals of each frame group to obtain a compounded radio frequency (RF) signal (105); calculating a blood flow velocity (106) according to the compounded RF signal; and performing color coding on the blood flow velocity to generate a two-dimensional (2D) blood flow velocity image (107).

Abstract: A system and method for scene graph lossless compression based on context-based graph convolution comprises a prior encoding module, a first prior decoding module, a data encoding module located at the compressor side, a second prior decoding module, and a data decoding module located at the decompressor side; it extracts prior information from the original scene graph; for different data elements such as object location, object category, interaction relationship, and relation category, it applies different random distribution models with context-based graph convolutional neural networks to estimate the respective prior probabilities for arithmetic encoding and decoding; therefore, it can effectively exploit the contextual information within the scene graph data to perform more accurate probability prediction and thus achieve a better compression ratio.

Abstract: The disclosure relates to a connection component, a connector, a patch cord and a connector inner shell. The connection component is configured to achieve electric connection and includes two connectors. The two connectors have same butt-joint structures and are in a butt joint through the butt-joint structures, the connectors have locking mechanisms, in a locking state, the locking mechanisms lock the two connectors, and the two connectors may be separated after the locking mechanisms are switched to an unlocking state.

Abstract: A computerized system for transmitting web site data to client devices. the system includes a memory storing instructions and a processor configured to execute the instructions to perform operations. The operations may include generating a plurality of clusters including a fixed number of records, receiving a request to display a list from a client device, and identifying a first cluster, from the plurality of clusters, for display at a landing page. The operations may also include generating a first transmission packet with the first cluster and a callback script, the callback script including navigation triggered functions and a callback message. The operations may also include transmitting the first transmission packet to the client device, receiving the callback message from the client, identifying a second cluster, generating a second transmission packet with the second cluster, and transmitting the second transmission packet.

Abstract: A text-based real-time communication interface, such as a chatbot, is presented to a user for the exchange of customer support information. A user's freeform text input is analyzed using machine learning algorithms to derive the meaning of the input text as well as to determine the user sentiment expressed therein. These determinations may be further supported by signals extracted from session-based activity, which signals can be used to infer the intended workflow of the user and whether or not that workflow was achieved. The expressed user sentiment is considered along with other historical or session-based user data to generate tailored questions and responses to be delivered in real-time to the user. The responses are displayed to the user along with information that routes the user to a workflow resolution.

Abstract: A preliminary software feature is applied in a testing rollout to a discrete subset of customers. Survey data may be collected from those customers through a variety of sources, such as chatbot text, session workflow, historical user data, social media data, email survey data, user profile data, messaging threads, and the like. This survey data is analyzed using machine learning algorithms to derive the meaning of input text as well as to determine the user sentiment expressed therein. The outputs of this analysis are normalized across sources and aggregated at a feature-level to generate overall metrics of customer satisfaction with the feature. A holistic analysis is performed on this customer sentiment data to obtain an aggregate or combined user satisfaction score. This score is applied against a set of guardrails to determine whether to ship the feature to a broader customer base.

Abstract: A text-based real-time communication interface, such as a chatbot, is presented to a user for the exchange of customer support information. A user's freeform text input is analyzed using machine learning algorithms to derive the meaning of the input text as well as to determine the user sentiment expressed therein. These determinations may be further supported by signals extracted from session-based activity, which signals can be used to infer the intended workflow of the user and whether or not that workflow was achieved. The expressed user sentiment is considered along with other historical or session-based user data to generate tailored questions and responses to be delivered in real-time to the user. The responses are displayed to the user along with information that routes the user to a workflow resolution.

Abstract: A robot manipulator includes: an arm body; a wrist effector, connected to the arm body; a multi-degree-of-freedom (DOF) connecting device, rotatably connected to the wrist effector; and a grabber, connected to the multi-DOF connecting device, wherein the multi-DOF connecting device is configured to receive a power output by the wrist effector and drive the grabber to rotate.

Abstract: An ultrasonic Doppler blood flow imaging method and system are provided.

Abstract: The present disclosure relates to a robot and a housing thereof. The housing includes a forearm shell, an upper arm shell and a chest shell. At least one of the forearm shell, the upper arm shell and the chest shell is a flexible shell. The flexible shell includes an elastic main body layer. According to the above technical solution, the robot housing provided by the present disclosure may reduce and even avoid limitations of the housing to motion ranges of joints of the robot, and also ensures attractive appearance.

Abstract: A computerized system for transmitting web site data to client devices. the system includes a memory storing instructions and a processor configured to execute the instructions to perform operations. The operations may include generating a plurality of clusters including a fixed number of records, receiving a request to display a list from a client device, and identifying a first cluster, from the plurality of clusters, for display at a landing page. The operations may also include generating a first transmission packet with the first cluster and a callback script, the callback script including navigation triggered functions and a callback message. The operations may also include transmitting the first transmission packet to the client device, receiving the callback message from the client, identifying a second cluster, generating a second transmission packet with the second cluster, and transmitting the second transmission packet.