Abstract: A PCIe/SAS connector structure includes a female part and a male part; the female part is engaged with the male part; wherein the female part has a female plastic member, a female cover, a female signal terminal part, a fix pin and a female signal and power terminal; wherein the male part has a male plastic member, a male cover, a male signal and power terminal, a male terminal, and a fix plate; wherein the female cover is in a full-wrap structure; wherein the female cover has a protruding elastic plate, respectively; wherein the male terminal is formed in an L shape; two male terminals are fixed as a set by a plastic; the male terminal is inserted to be positioned in the male cover; wherein the male cover is formed in an L shape in a full-wrap structure. Interference performance of signal terminal is improved.

Abstract: The present disclosure discloses an atmospheric-pressure plasma equipment for fabric functional finishing and its application, and belongs to the field of textile printing and dyeing engineering. The atmospheric-pressure plasma equipment, including a discharging system, a grafting instrument and a cloth guider, can conduct continuous plasma treatment on fabrics under an atmospheric pressure, including plasma etching and plasma grafting, which breaks through the disadvantage of batch processing of vacuum plasma equipment. The equipment and method of the present disclosure realize functional finishing of the fabrics in the absence of water, and this finishing process is cost efficient, environmentally friendly, uniform, shorter treatment time and higher reactivity, and applicable to many materials and can keep the bulk properties of the treated substances.

Abstract: The present invention belongs to the field of environment monitoring, particularly relates to a CO2 storage state networking monitoring device, system and method with multi-information fusion. The present invention comprises: obtaining orientation electrical signal data and real-time pressure signals, analyzing a fluid flowing state at a view of a pressure sensor through the real-time pressure signals, and obtaining a CO2 flowing state through the orientation electrical signal data; and obtaining a CO2 regional storage state by combining an orientation CO2 content, a CO2 flowing state and the fluid flowing condition at the view of the pressure sensor. By combining accurate short-range CO2 boundary monitoring of orientation electrodes with long-range monitoring of pressure sensors to achieve a wide range of CO2 flowing state monitoring, the present invention can observe more data with higher reliability and effectively aims at the problem of strong inter-well heterogeneity.

Abstract: Provided are a drive compensation method and system of a display panel and a display device. The drive compensation method includes: determining at least one of the impedance and capacitive reactance variation curve of a first signal line in a column direction and determining the charge rate variation curve of first pixel units in a row direction; determining the compensation coefficients for a respective pixel unit in the column direction and/or the row direction according to the impedance and capacitive reactance variation curve of the first signal line in the column direction and/or the charge rate variation curve of first pixel units in the row direction; and compensating the compensation coefficients for the respective pixel unit in the column direction and/or the row direction to the drive signal of the respective pixel unit to drive the respective pixel unit.

Abstract: The present application discloses a display panel, a display driving method for display panel, and a display apparatus. The display panel includes a plurality of rows of pixel circuits; a gate drive circuit configured to be switched between a first drive mode and a second drive mode, wherein the first drive mode comprises that the gate drive circuit provides gate signals to n rows of the pixel circuits simultaneously, and the second drive mode comprises that the gate drive circuit provides gate signals to m*n rows of the pixel circuits simultaneously, wherein n is a positive integer, and m is an integer greater than or equal to 2.

Abstract: A method, computer program product and system to generate higher resolution geospatial images is provided. A processor receives time sequenced spatial data images at a first resolution. A processor determines from the plurality of spatial data images physics laws applicable to the spatial data images. A processor subdivides each of the plurality of spatial data images into a plurality of small spatial region images. A processor solves each of the physics laws in each of the small spatial region images. A processor trains a neural network to apply each of the physics laws to each small spatial region image by applying a regional physics law loss function. A processor determines the most applicable regional physics law based on the difference between the small spatial region image and the image predicted for that region by the physics law. A processor generates a second higher-resolution image than the first resolution.

Abstract: An embodiment includes identifying a tree type of vegetation depicted in an image. The embodiment segments that portion of the image using edge-detection processing resulting in a contour line that defines a tree perimeter. The embodiment detects that the tree is within a buffer distance from a power line. The embodiment determines the tree's species by comparing the contour line to candidate contour lines of different tree species and calculates a diameter of the tree's crown using the contour line. The embodiment estimates the tree's height using the species and the diameter of the crown. The embodiment calculates a risk value for the tree based on a risk of contact between the power line and the tree and issues a work order to maintain the tree to prevent contact with the power line.

Abstract: In an approach to improve detecting and identifying objects through orbital synthetic aperture radar satellites, embodiments arrange an array of elements in a predetermined configuration, and process, by a threshold and signature analysis, detected peaks in processed image data. Further, embodiments generate a list of objects detections based on the processed peaks, and identify an object based on amplitude, polarization ration, and polarization phase difference. Additionally, embodiments, classify the identified object based on the generated list of objects, and output, by a user interface, a list of probable object detections with position coordinates and identifications based on the classified identified objects, wherein the list of probable objects are above or within a predetermine threshold of confidence.

Abstract: Techniques regarding operating one or more parallel dipole line traps are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a parallel dipole line trap comprising a diamagnetic object positioned between a plurality of dipole line magnets. The system can also comprise a split photodetector sensor positioned adjacent to the parallel dipole line trap. The split photodetector sensor can detect a displacement of the diamagnetic object.

Abstract: In some examples, a method of vector-raster data fusion includes receiving vector data for a geographical location, and statistically analyzing the vector data to obtain vector statistics. In some examples the method further includes rasterizing the vector statistics, and storing at least one of the vector data and the rasterized vector statistics together in a key-value store together with previously stored raster data for the geographical location. In some examples, the vector data further includes metadata, and the method further includes storing the metadata in at least one of the key-value store or a separate vector database.

Abstract: Systems and methods are provided that facilitate high-sensitivity, carrier-resolved photo-Hall effect measurements. Majority and minority carrier properties can be measured and determined simultaneously. In one aspect, a system and method determine majority carrier type, density and mobility and, with modulated illumination, minority carrier mobility and photocarrier density. In another aspect, a system and method can determine hole and electron mobility, photocarrier density, absorbed photon density, recombination lifetime and diffusion length for hole, electron and ambipolar transport.

Abstract: Aspects of the invention include arranging two cylindrical magnets with transverse magnetization to be parallel to each other along their longitudinal axis. The two cylindrical magnets have a space between them and are prevented from moving relative to one another. An exemplary method includes disposing a diamagnetic object to levitate above the space between the two cylindrical magnets. A motion detector is arranged to identify relative movement between the two cylindrical magnets and the object, and an infrasound wave is identified based on the relative movement.

Abstract: Methods and systems for managing vegetation include training a machine learning model based on an image of a training data region before a weather event, an image of the training data region after the weather event, and information regarding the weather event. A risk score is generated for a second region using the trained machine learning model based on an image of the second region and predicted weather information for the second region. The risk score is determined to indicate high-risk vegetation in the second region. A corrective action is performed to reduce the risk of vegetation in the second region.

Abstract: Techniques for generator model training are provided. A classifier model that was trained using one or more data samples in a target class is received, and a generative adversarial network (GAN) is trained to generate simulated data samples for the target class, comprising: generating a first simulated data sample using a generator model, computing a first discriminator loss by processing the first simulated data sample using a discriminator model, computing a classifier loss by processing the first simulated data sample using the classifier model, and refining the generator model based on the first discriminator loss and the classifier loss.

Abstract: An integrated multi-scale modeling platform is utilized to assess agricultural productivity and sustainability. The model is used to assess the environmental impacts of agricultural management from individual fields to watershed/basin to continental scales. In addition, an integrated irrigation system is developed using data and a machine-learning model that includes weather forecast and soil moisture simulation to determine an irrigation amount for farmers. Next, crop cover classification prediction can be established for an ongoing growing system using a machine learning or statistical model to predict the planted crop type in an area. Finally, a method of predicting key phenology dates of crops for individual field parcels, farms, or parts of a field parcel, in a growing season, can be established.

Abstract: A dimensionality analysis method, system, and computer program product, include conducting a search that determines which valid expressions in a data set satisfies a defined free-form grammar that describes the data set.

Abstract: Using a set of airflow sensors disposed on an airfoil of an aircraft, first airflow data including an amount of airflow experienced at each airflow sensor at a first time is measured. Using a trained neural network model, the first airflow data is analyzed to determine an airflow state of the aircraft. In response to determining that the aircraft is in the abnormal airflow state, a control surface and a power unit of the aircraft are adjusted. Responsive to the adjusting, the aircraft is returned to the normal airflow state.

Abstract: Aspects of the invention include arranging two cylindrical magnets with transverse magnetization to be parallel to each other along their longitudinal axis. The two cylindrical magnets have a space between them and are prevented from moving relative to one another. An exemplary method includes disposing a diamagnetic object in the space between the two cylindrical magnets, wherein the object levitates above the space. A motion detector is arranged to identify relative movement between the two cylindrical magnets and the object, and an infrasound wave is identified based on the relative movement.

Abstract: Systems and methods are provided that facilitate high-sensitivity, carrier-resolved photo-Hall effect measurements. Majority and minority carrier properties can be measured and determined simultaneously. In one aspect, a system and method determine majority carrier type, density and mobility and, with modulated illumination, minority carrier mobility and photocarrier density. In another aspect, a system and method can determine hole and electron mobility, photocarrier density, absorbed photon density, recombination lifetime and diffusion length for hole, electron and ambipolar transport.

Abstract: Methods and systems perform incremental learning object detection in images and/or videos without catastrophic forgetting of previously-learned object classes. A two-stage neural network object detector is trained to locate and identify objects pertaining to an additional object class by iteratively updating the two-stage neural network object detector until an overall detection accuracy criterion is met. The updating is performed so as to balance minimizing a loss of an initial ability to locate and identify objects pertaining to the previously-learned object classes and maximizing an ability to additionally locate and identify the objects pertaining to the additional object class.