Abstract: Techniques are described for a computing system to maintain security by (a) detecting updates from a plurality of interrelated systems; (b) with reference to the detected updates and a set of mappings, determining an at-risk account having an improper access level; and (c) in response to determining the at-risk account, providing an alert of the at-risk account to an entity authorized to alter or remove the at-risk account. A system, apparatus, and computer program product for performing this method and similar methods are also described.

Abstract: Provided is a device sealed with a magnetic liquid. The device includes: a rotary shaft, a tank body, a control unit, a first module, a second module, a magnetic liquid, and a pole-tooth. The first module and the second module are in the same configuration, each consists of an outer shell, a left pole-shoe, an electromagnet, a control wiring, a right pole-shoe, and a circlip. The device includes at least two modular structures; the control unit controls a first electromagnet and a second electromagnet to be magnetized to alternately bear a sealing role.

Abstract: Provided is a device sealed with a magnetic liquid. The device includes: a rotary shaft, a first bearing, a tank body, a first magnetism isolation ring, a first gasket ring, a first pole-shoe, a permanent magnet, a second pole-shoe, a second gasket ring, a second magnetism isolation ring, a second bearing, an end cover, a pole-tooth and a water delivery coating. The water delivery coating strips are coated on the an exterior circumferential surface of the rotary shaft at intervals, where each water delivery coating strip contains three parts with different water delivering directions individually.

Abstract: The present disclosure provides a risk assessment method of water inrush in tunnels constructed in water-rich grounds. The method includes the following steps: simulating a tunnel excavation process by finite element software MIDAS GTS NX and fluid-structure interaction; according to a research method of control variables, analyzing effects of a groundwater level, an elastic modulus and advanced pipe shed grouting on the stability of surrounding rock, and improving an algorithm of a radial basis function (RBF) neural network using a Grey Relation Analysis (GRA)-based Partitioning Around Medoid (PAM) clustering algorithm to assess risks of water inrush occurring in Qingdao area.

Abstract: The present disclosure provides a multi-factor quantitative analysis method for deformation of a neighborhood tunnel. The method includes the following steps: analyzing monitoring data generated at a tunnel site; simulating collapse occurring at a shallow buried section of a tunnel; determining the degree of influence of each factor on the tunnel and a stratum; and determining quantitative influence of each factor on tunnel deformation. The present disclosure can not only provide an accurate theoretical basis for the construction of the shallow buried section of the small-distance tunnel, but also guarantee safety and cost saving during tunnel construction.

Abstract: An apparatus for video decoding includes receiving and processing circuitry. The circuitry is configured to receive a bitstream including a syntax element associated with a parent coding unit (CU) in a picture indicating the parent CU is partitioned into a predefined set of child CUs without performing a recursive tree-structure-based partitioning, and process the child CUs according to the indication of the syntax element to reconstruct the picture. In an embodiment, at least two subdivisions need to be performed when the parent CU is partitioned using the recursive tree-structure-based partitioning in order to obtain the same set of child CUs. In an embodiment, at least one of the child CUs has a size larger than a minimum allowed CU size for partitioning the parent CU and includes no syntax element to indicate whether the at least one of the child CUs is to be further subdivided.

Abstract: A method including training a machine-learning model, based on historical data, with a maximization problem and one or more minimization problems to improve one or more fairness metrics. The method also can include receiving real-time data. The method additionally can include generating a risk score based on the machine-learning model, as trained, and the real-time data. Other embodiments are described.

Abstract: An adversarial robustness testing method, system, and computer program product include testing, via an accelerator, a robustness of a black-box system under different access settings, where the testing includes tearing down the robustness testing to a subtask of a predetermined size.

Abstract: A hybrid-distance adversarial patch generator can be trained to generate a hybrid adversarial patch effective at multiple distances. The hybrid patch can be inserted into multiple sample images, each depicting an object, to simulate inclusion of the hybrid patch at multiple distances. The multiple sample images can then be used to train an object detection model to detect the objects.

Abstract: A battery temperature estimation method includes fitting, when a battery is in an offline state, a first function relationship according to corresponding admittances of the battery at different test temperatures, and obtaining a temperature distribution model of the battery according to the shape and the size of the battery, and determining a second function relationship corresponding to internal temperatures and a surface temperature by combining with the first function relationship. The second function relationship is used for estimating the internal temperature of the battery by using the surface temperature and the admittances of the battery.

Abstract: An adversarial robustness testing method, system, and computer program product include testing a robustness of a black-box system under different access settings via an accelerator.

Abstract: A method comprises receiving a new data set; identifying at least one prior data set of a plurality of prior data sets that matches the new data set; generating a natural language data science problem statement for the new data set based on information associated with the at least prior one data set that matches the new data set; outputting the generated natural language data science problem statement for user verification; and in response to receiving user input verifying the natural language generated data science problem statement, generating one or more AutoAI configuration settings for the new data set based on one or more AutoAI configuration settings associated with the at least one prior data set that matches the new data set.

Abstract: A method for detecting a lithium plating state of a battery includes regularly collecting a voltage of a battery after the end of charging at a preset time interval after the battery is in an idle state, and associatively storing the collected voltage and a collection time as voltage data; constructing a time-differential voltage curve in a voltage-time coordinate system according to the voltage data; detecting whether a characteristic peak voltage exists in the time-differential voltage curve; and sending a warning message when detecting that the characteristic peak voltage exists in the time-differential voltage curve.

Abstract: Interpretation maps of convolutional neural networks having certifiable robustness using Rényi differential privacy are provided. In one aspect, a method for generating an interpretation map includes: adding generalized Gaussian noise to an image x to obtain T noisy images, wherein the generalized Gaussian noise constitutes perturbations to the image x; providing the T noisy images as input to a convolutional neural network; calculating T noisy interpretations of output from the convolutional neural network corresponding to the T noisy images; re-scaling the T noisy interpretations using a scoring vector ? to obtain T re-scaled noisy interpretations; and generating the interpretation map using the T re-scaled noisy interpretations, wherein the interpretation map is robust against the perturbations.