Abstract: Disclosed are a low-cost high-efficiency drip irrigation system for a cotton field and a use method thereof. The drip irrigation system for a cotton field includes a filtering device and a water supply device; wherein the filtering device adopts different types of single filtering devices or combined filtering devices according to different water source types; the water supply device includes multiple stages of main pipes, submain pipes and laterals; the laterals (a drip irrigation tape with labyrinth on one side or a drip irrigation tape inlaid with emitters inside) are laid on the surface of the ground and located below a mulch film. The drip irrigation system adopts the design of large flow (1.5-3.4 L/h), slightly larger pipe diameter (>75 mm), low water pressure (operating pressure of drip irrigation tape being 0.03-0.07 MPa) and suitable drip irrigation uniformity (80%-90%).

Abstract: In one aspect, the present application provides a computer-implemented method for generating a digital data set representing a target tooth arrangement, comprising: obtaining a first 3D digital model representing an initial tooth arrangement; extracting at least one feature from each tooth of the first 3D digital model; generating a feature vector based on the extracted features; and aligning the first 3D digital model using a Statistical Shape Model based on the feature vector to obtain a second 3D digital model representing a target tooth arrangement.

Abstract: The present application provides a computer-implemented method for generating a digital data set representing a target tooth arrangement, comprising: obtaining a first and a second 3D digital models respectively representing upper jaw teeth and lower jaw teeth under an initial tooth arrangement, where the first and the second 3D digital models are in a predetermined relative positional relationship; extracting a tooth level feature vector from each tooth of the first and second 3D digital models; preliminarily aligning the first and second 3D digital models based on the tooth level feature vectors using a trained first deep neural network; extracting a jaw level feature vector for each tooth of the preliminarily aligned first and second 3D digital models; and further aligning the preliminarily aligned first and second 3D digital models to obtain a target tooth arrangement based on the jaw level feature vectors using a trained second deep neural network.

Abstract: A combination of lookup tables for waveforms and several scaling and delay factors to accurately simulate touch and collision transducer sensor output without the complexity of solving the classical wave equation or performing convolutions in the frequency domain. TACT, as used herein, is a touch and collision transducer sensor used for detecting collisions. When the vehicle collides with an object a wave will be generated by the touch and collision transducer sensors. The waveform can take many forms depending on various parameter. Pre-recorded waveforms can be used to simulate the collisions and produce appropriate outputs. However, the present disclosure contemplates more complex, diverse waveforms which can be produced based on the existing pre-recorded libraries. To this end, simulated waveforms can be produced by scaling, filtering, delaying and combining with road noise, based on the impact material and contact area, at least in part.

Abstract: A method, device, and system for evaluating geological and engineering sweet spots in an unconventional reservoir based on dual-energy computed tomography (CT) comprises acquiring and preprocessing a high-energy CT image and a low-energy CT image of a core from a core region, acquiring and preprocessing a high-energy CT image and a low-energy CT image of a core from a core reference sample, calculating a density and an effective atomic number of each pixel in the core region of a target reservoir, acquiring a geological sweet spot index and an engineering sweet spot index, acquiring evaluation results of geological and engineering sweet spots at different depths of the core region in the target reservoir, and matching the evaluation results to acquire reservoir types corresponding to the different depths of the core region in the target reservoir. The present disclosure achieves accurate and efficient reservoir evaluation and classification.

Abstract: A chemical mechanical polishing composition for polishing a ruthenium containing substrate comprises, consists of, or consists essentially of a water based liquid carrier; titanium oxide particles dispersed in the liquid carrier, the titanium oxide particles including rutile and anatase such that an x-ray diffraction pattern of the titanium oxide particles has a ratio X:Y greater than about 0.05, wherein X represents an intensity of a peak in the x-ray diffraction pattern having a d-spacing of about 3.24 ? and Y represents an intensity of a peak in the x-ray diffraction pattern having a d-spacing of about 3.51 ?; and a pH in a range from about 7 to about 10. Optional embodiments further include a pH buffer having a pKa in a range from about 6 to about 9.

Abstract: In one aspect, the present application provides a computer-implemented method for generating a digital data set representing a target tooth arrangement, comprising: obtaining a first 3D digital model representing an initial tooth arrangement; extracting at least one feature from each tooth of the first 3D digital model; generating a feature vector based on the extracted features; and aligning the first 3D digital model using a Statistical Shape Model based on the feature vector to obtain a second 3D digital model representing a target tooth arrangement.

Abstract: The present application provides a computer-implemented method for generating a digital data set representing a target tooth arrangement, comprising: obtaining a first and a second 3D digital models respectively representing upper jaw teeth and lower jaw teeth under an initial tooth arrangement, where the first and the second 3D digital models are in a predetermined relative positional relationship; extracting a tooth level feature vector from each tooth of the first and second 3D digital models; preliminarily aligning the first and second 3D digital models based on the tooth level feature vectors using a trained first deep neural network; extracting a jaw level feature vector for each tooth of the preliminarily aligned first and second 3D digital models; and further aligning the preliminarily aligned first and second 3D digital models to obtain a target tooth arrangement based on the jaw level feature vectors using a trained second deep neural network.

Abstract: This document describes a system and method for detecting phishing-domains, which are used by cyber-attackers to carry out phishing attacks, in a set of Domain Name System (DNS) records, the system comprising a homoglyph phishing domain detection module, a typo-squatting phishing domain detection module, a general phishing domain detection module and an alert module. These modules are configured to collaboratively detect and identify phishing-domains from the set of DNS records using a combination of homoglyph, typo-squatting and general phishing domain techniques. Subsequently, an alert module may be used to correlate the alerts from the various phishing detection modules to discover phishing campaigns occurring in DNS network data.

Abstract: The present application belongs to the technical field of oil and gas exploration and development, and specifically provides a rock stratification identification method and apparatus, a device and a storage medium. The method includes: acquiring multiple sets of CT slice images of a rock, where each set of the CT slice images include a first CT slice image and a second CT slice image, the first CT slice image and the second CT slice image are acquired by scanning a same depth section of the rock, scanning energy corresponding to the first CT slice image is different form scanning energy corresponding to the second CT slice image; determining multiple dual energy indices of the rock according to the multiple sets of CT slice images; and determining a rock stratification according to the multiple dual energy indices, which can identify stratification of a large-scale rock by using CT.

Abstract: This document discloses a system and method for detecting and classifying potential malicious network behaviours or characteristics contained within data traffic. In particular, this document discloses a system comprising a data pre-processing module for processing the received data traffic before the processed data traffic is provided to an alert module communicatively connected to the data pre-processing module. The alert module, which comprises a trained autoencoder and a classifier neural network trained via self-taught learning, then determines, based on a set of partially labelled training data, whether potential malicious network behaviours that typically present themselves as network traffic anomalies are contained within the processed data traffic.

Abstract: System and method for detecting domain names that exhibit Domain Generation Algorithm (DGA) like behaviours from a stream of Domain Name System (DNS) records. In particular, this document describes a system comprising a deep learning classifier (DL-C) module for receiving and filtering the stream of DNS records before the filtered DNS records, which have been determined to possess domain names that exhibit DGA behaviour are provided to a series filter-classifier (SFC) module. The SFC module then groups the records into various series based on source IP, destination IP and time. For each series, it then filters away records that do not exhibit the dominant DGA characteristics of the series. Finally, for each series, it makes use of the remaining DNS records' timestamps to generate a time series of DGA occurrences and then, using this time series of occurrences, determine the number of DGA bursts throughout the time period of analysis.

Abstract: This document describes a system and method for detecting domain names that exhibit Domain Generation Algorithm (DGA) like behaviours from a stream of Domain Name System (DNS) records. In particular, this document describes a system comprising a deep learning classifier (DL-C) module for receiving and filtering the stream of DNS records before the filtered DNS records, which have been determined to possess domain names that exhibit DGA behaviour are provided to a series filter-classifier (SFC) module. The SFC module then groups the records into various series based on source IP, destination IP and time. For each series, it then filters away records that do not exhibit the dominant DGA characteristics of the series. Finally, for each series, it makes use of the remaining DNS records' timestamps to generate a time series of DGA occurrences and then, using this time series of occurrences, determine the number of DGA bursts throughout the time period of analysis.

Abstract: This document discloses a system and method for detecting and classifying potential malicious network behaviours or characteristics contained within data traffic. In particular, this document discloses a system comprising a data pre-processing module for processing the received data traffic before the processed data traffic is provided to an alert module communicatively connected to the data pre-processing module. The alert module, which comprises a trained autoencoder and a classifier neural network trained via self-taught learning, then determines, based on a set of partially labelled training data, whether potential malicious network behaviours that typically present themselves as network traffic anomalies are contained within the processed data traffic.

Abstract: A chemical mechanical polishing composition for polishing a ruthenium containing substrate comprises, consists of, or consists essentially of a water based liquid carrier; titanium oxide particles dispersed in the liquid carrier, the titanium oxide particles including rutile and anatase such that an x-ray diffraction pattern of the titanium oxide particles has a ratio X:Y greater than about 0.05, wherein X represents an intensity of a peak in the x-ray diffraction pattern having a d-spacing of about 3.24 ? and Y represents an intensity of a peak in the x-ray diffraction pattern having a d-spacing of about 3.51 ?; and a pH in a range from about 7 to about 10. Optional embodiments further include a pH buffer having a pKa in a range from about 6 to about 9.

Abstract: A chemical mechanical polishing composition for polishing tungsten or molybdenum comprises, consists essentially of, or consists of a water based liquid carrier, abrasive particles dispersed in the liquid carrier, an amino acid selected from the group consisting of arginine, histidine, cysteine, lysine, and mixtures thereof, an anionic polymer or an anionic surfactant, and an optional amino acid surfactant. A method for chemical mechanical polishing a substrate including a tungsten layer or a molybdenum layer includes contacting the substrate with the above described polishing composition, moving the polishing composition relative to the substrate, and abrading the substrate to remove a portion of the tungsten layer or the molybdenum layer from the substrate and thereby polish the substrate.

Abstract: A virtual object control method includes displaying a user interface (UI) that includes a first fire button being an operation control configured to trigger to aim down sights (ADS) and fire. When a trigger signal corresponding to the first fire button is received, a virtual firearm enters an ADS state. When a fire condition is satisfied and the virtual firearm is in the ADS state, the virtual firearm can shoot. A one-tap ADS and fire capability is implemented which improves operation efficiency.

Abstract: The present disclosure belongs to the field of petroleum exploration and development and, in particular, relates to a system and a method for analyzing while-drilling rock fragments in oil and gas field. The system includes a sample preparation mold and a sample scanning apparatus; the mold is configured to quickly batch prepare fragments into scanning ready samples; the apparatus is portable and configured for batch scanning and analyzing the samples, and having the capabilities of anti-vibration, temperature control, dust prevention, and adaptability to a harsh well site environment; the method includes a scanning step where surface images, elements and mineral types of rock can be rapidly quantitatively analyzed, and lithologies thereof can be identified; the method also includes the analysis step in which rock's elastic parameters and target zone of the vertical well are determined, and geosteering and design of staged fracturing of horizontal well can be provided.

Abstract: A Medical Ultrasound System with circular formation elements placement ultrasonic transducer. Each element of transducer generates the ultrasonic signal to human or animal body. Receiving signal from the transducer elements on same circle is directly connected and summed. The summed signal of each element circle is independently delayed by the digital controlled delay and then summed by the adder. The final summed signal after the adder is sent to Post Processing Unit. Post Processing Unit processes the final summed signal for the medical diagnosis, and the beam line is from the center of the circular plane of the transducer elements formation and perpendicular to this plane. The ultrasonic transducer has MEMS based motion sensors: accelerometer-sensors and gyro-sensors built in. The MEMS based motion sensors send the real-time transducer location and angle information to Post Processing Unit.