Abstract: Disclosed is a separated multi-core transmitting device based on a ground transient electromagnetic method, comprising: a rectangular transmitting coil enclosed by a cable I, a cable II, a cable III, and a cable IV. Each of the cable I, the cable II, the cable III, and the cable IV is provided with N wires. Two ends of each of the N wires is provided with a sub connector and a female connector, respectively. The sub connectors and the female connectors are detachably connected through sub connector interfaces and female connector interfaces. A first wire of the female connectors of the cable I is led out to serve as a positive electrode of a transient electromagnetic instrument transmitter, and a last wire of the sub connectors of the cable IV is led out to serve as a negative electrode of the transient electromagnetic instrument transmitter.

Abstract: An automatic uncoupled charging device includes a control system, a power system, a charging system, and an auxiliary system. The control system is equipped with a programmable circuit to control a screw speed. Explosives are charged into a container through manual handling or flowing from a mixed explosive vehicle. Explosive bags with different diameters are installed at the bottom of a discharge port. The device is set to start with one click, and the screw drives the explosive into the bag, achieving uncoupled charging. An automatic uncoupled charging method applying to the automatic uncoupled charging device not only reduces labor intensity, achieves fast charging, improves labor efficiency, but also achieves the goal of “mechanization reducing personnel”, further advancing towards the essential safety of blasting construction.

Abstract: A time domain electromagnetic tensor based logging method, relating to the field of induction logging. A transmitting coil system Tx and a receiving coil system Rx are each composed of three orthogonal direction coils, and the transmitting coil system and the receiving coil system form a borehole probe; a time domain electromagnetic field is excited by means of two orthogonal transmitting coil systems Tx, and a secondary field signal is received by two orthogonal receiving coil systems Rx located above transmitting coils and having a distance D; during each measurement, three directions are used for transmitting, nine component data is received at the same time, and each component is a series of induction potentials in one-to-one correspondence with measurement time sequences, and a potential or resistance change, from near to far, of the rock stratum where a measurement point is located is obtained after time-depth conversion.

Abstract: A time domain electromagnetic tensor based logging method, relating to the field of induction logging. A transmitting coil system Tx and a receiving coil system Rx are each composed of three orthogonal direction coils, and the transmitting coil system and the receiving coil system form a borehole probe; a time domain electromagnetic field is excited by means of two orthogonal transmitting coil systems Tx, and a secondary field signal is received by two orthogonal receiving coil systems Rx located above transmitting coils and having a distance D; during each measurement, three directions are used for transmitting, nine component data is received at the same time, and each component is a series of induction potentials in one-to-one correspondence with measurement time sequences, and a potential or resistance change, from near to far, of the rock stratum where a measurement point is located is obtained after time-depth conversion.

Abstract: A transmission, a power-driven system, and a vehicle are provided. The transmission includes a first planetary gear mechanism, a second planetary gear mechanism, an input shaft, an intermediate shaft, a first synchronizer, and a second synchronizer. A second planet carrier in the second planetary gear mechanism is connected to an output end of the transmission. The input shaft is connected to a first sun gear. A first ring gear is connected to the intermediate shaft. The intermediate shaft is connected to a second sun gear. The first synchronizer secures a first planet carrier to a housing of the transmission or connects the first planet carrier to the first sun gear. The second synchronizer secures a second ring gear to the housing of the transmission or connects the second ring gear to the first ring gear.

Abstract: A transmission, a power-driven system, and a vehicle are provided. The transmission includes a first planetary gear mechanism, a second planetary gear mechanism, an input shaft, an intermediate shaft, a first synchronizer, and a second synchronizer. A second planet carrier in the second planetary gear mechanism is connected to an output end of the transmission. The input shaft is connected to a first sun gear. A first ring gear is connected to the intermediate shaft. The intermediate shaft is connected to a second sun gear. The first synchronizer secures a first planet carrier to a housing of the transmission or connects the first planet carrier to the first sun gear. The second synchronizer secures a second ring gear to the housing of the transmission or connects the second ring gear to the first ring gear.

Abstract: A method of pixel-wise localization of an actor and an action in a sequence of frames includes receiving a natural language query describing the action and the actor. The method also includes receiving the sequence of frames. The method further includes localizing the action and the actor in the sequence of frames based on the natural language query.

Abstract: A method of pixel-wise localization of an actor and an action in a sequence of frames includes receiving a natural language query describing the action and the actor. The method also includes receiving the sequence of frames. The method further includes localizing the action and the actor in the sequence of frames based on the natural language query.

Abstract: A method of predicting action labels for a video stream includes receiving the video stream and calculating an optical flow of consecutive frames of the video stream. An attention map is generated from the current frame of the video stream and the calculated optical flow. An action label is predicted for the current frame based on the optical flow, a previous hidden state and the attention map.

Abstract: A method of tracking an object across a sequence of video frames using a natural language query includes receiving the natural language query and identifying an initial target in an initial frame of the sequence of video frames based on the natural language query. The method also includes adjusting the natural language query, for a subsequent frame, based on content of the subsequent frame and/or a likelihood of a semantic property of the initial target appearing in the subsequent frame. The method further includes identifying a text driven target and a visual driven target in the subsequent frame. The method still further includes combining the visual driven target with the text driven target to obtain a final target in the subsequent frame.

Abstract: A method of processing data within a convolutional attention recurrent neural network (RNN) includes generating a current multi-dimensional attention map. The current multi-dimensional attention map indicates areas of interest in a first frame from a sequence of spatio-temporal data. The method further includes receiving a multi-dimensional feature map. The method also includes convolving the current multi-dimensional attention map and the multi-dimensional feature map to obtain a multi-dimensional hidden state and a next multi-dimensional attention map. The method identifies a class of interest in the first frame based on the multi-dimensional hidden state and training data.

Abstract: A method of processing data within a convolutional attention recurrent neural network (RNN) includes generating a current multi-dimensional attention map. The current multi-dimensional attention map indicates areas of interest in a first frame from a sequence of spatio-temporal data. The method further includes receiving a multi-dimensional feature map. The method also includes convolving the current multi-dimensional attention map and the multi-dimensional feature map to obtain a multi-dimensional hidden state and a next multi-dimensional attention map. The method identifies a class of interest in the first frame based on the multi-dimensional hidden state and training data.

Abstract: A method generates bounding-boxes within frames of a sequence of frames. The bounding-boxes may be generated via a recurrent neural network (RNN) such as a long short-term memory (LSTM) network. The method includes receiving the sequence of frames and generating an attention feature map for each frame of the sequence of frames. Each attention feature map indicates at least one potential moving object. The method also includes up-sampling each attention feature map to determine an attention saliency for pixels in each frame of the sequence of frames. The method further includes generating a bounding-box within each frame based on the attention saliency and temporally smoothing multiple bounding-boxes along the sequence of frames to obtain a smooth sequence of bounding-boxes. The method still further includes localizing an action location within each frame based on the smooth sequence of bounding-boxes.

Abstract: A method of predicting action labels for a video stream includes receiving the video stream and calculating an optical flow of consecutive frames of the video stream. An attention map is generated from the current frame of the video stream and the calculated optical flow. An action label is predicted for the current frame based on the optical flow, a previous hidden state and the attention map.