Abstract: In aspects of the disclosure, a method comprises training, by a computing system, a dynamics model of a cooperative multi-agent reinforcement learning (c-MARL) environment. The method further comprises processing, by the computing system, a perturbation optimizer to generate a state perturbation of the c-MARL environment, based on the dynamics model. The method further comprises selecting one or more agents of the c-MARL system as having enhanced vulnerability. The method further comprises attacking, by the computing system, the c-MARL system based on the state perturbation and the selected one or more agents.

Abstract: A system and method for mind-body relaxation may include a plurality of vibration modules, a light-providing member, a controller, a relaxation substrate, a pillow member, a graphical user interface (GUI), and network connection circuitry.

Abstract: A fluid spraying system includes a fluid applicator having a tip that atomizes a fluid. The fluid spraying system also includes a pump configure to pump the fluid from a fluid source to the tip and a control system. The control system identifies at least one characteristic of the tip or the fluid and communicatively couples to the pump. The control system also controls an operating characteristic of the fluid spraying system based on a characteristic of the tip or the fluid.

Abstract: The present invention relates to a structure for attachment/detachment of an energy pack for an electric vehicle and, more specifically, a structure for attachment/detachment of an energy pack for an electric vehicle, wherein: the energy capacity of a main energy supply device is reduced, and thereby fuel economy/efficiency can be increased through weight reduction; and an energy pack capable of additional energy supply is separately provided and detachably attached inside the vehicle depending on the travel distance of the vehicle, and thereby the driving conditions of the electric vehicle can be optimized without a need to change driving qualifications.

Abstract: The invention relates to a method and to a delivery apparatus for carrying out the method, wherein the delivery apparatus comprises an eccentric screw pump having a rotor-stator unit with an outlet, a drive unit, a control device and a delivery section, and wherein the delivery apparatus comprises at least one pressure sensor and a characteristic-variable detection device.

Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.

Abstract: An operating method for a conveying device with an eccentric screw pump for conveying viscous construction materials comprising sensing a pressure of the construction material at an outlet of the eccentric screw pump when the eccentric screw pump is running and automatically switching off the eccentric screw pump if the pressure exceeds an upper limit value, otherwise continued operation of the eccentric screw pump. The method includes sensing a characteristic variable of the running eccentric screw pump and comparison of the characteristic variable with a first comparison variable, which is characteristic of operation with an open dispensing device and/or with a second comparison variable, which is characteristic of operation with a closed dispensing device, and switching off the eccentric screw pump if operation with a closed dispensing device is detected, otherwise continued operation of the eccentric screw pump.

Abstract: An Internet of Things (IoT) platform is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT managers coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT managers, wherein the IoT servers and the IoT managers of the present invention are operable to configure a plug-and-play and point to multipoint communication environment where the plurality of IoT devices, the plurality of IoT servers, and the plurality of IoT managers communicate with one another in a plug-and-play manner and in a point to multipoint manner regardless of their physical connections, industrial standards, and communication protocols.

Abstract: An Internet of Things (IoT) system is disclosed which includes: a network; a plurality of IoT servers coupled together and serviced by the network; a plurality of IoT agents coupled to each other and to the plurality of IoT servers; and a plurality of IoT devices electrically coupled to the plurality of IoT agents, wherein the IoT servers and the IoT agents further includes a deep reinforcement neural network operative to generate an action map {at} so as to satisfy an arg ? ? max ? a t ? Q ? ( s , a , ? ) wherein Q(s,a)=E[Rt|(s, a)].

Abstract: Briefly stated, the invention is directed to retrieving a semantically matched knowledge structure. A question and answer pair is received, wherein the answer is received from a query of a search engine. A question is constraint-matched with the answer based on maximizing a plurality of constraints, wherein at least one of the plurality of the constraints is a similarity score between question and answer, wherein the constraint matching generates a matched sequence. For one or more answer sequences, a subsequence is found that are not parsed as answer slots. Query results are obtained from another search engine based on a combination of the answer or question, and the non-answer subsequence. And a KB based is refined on the query results and the constraint matching and based on a neural network training, for a further subsequent semantic matching, wherein the KB includes a dense semantic vector indication of concepts.

Abstract: A fault-rectification method for an eccentric screw pump of a conveying apparatus for conveying viscous construction materials, comprising the steps of monitoring a start of a conveying operation of the eccentric screw pump by way of a characteristic-variable-monitoring program of a control device of the conveying apparatus, wherein a working-free program is executed by the control device of the eccentric screw pump if, for one or more characteristic variables. The characteristic-variable-monitoring program acquires characteristic-variable values which are stored, alone or in combination with one another, as fault values that indicate jamming of a rotor/stator unit of the eccentric screw pump, and wherein otherwise a conveying operation is begun. The eccentric screw pump is operated in the working-free program in such a way that an electric motor of a drive unit of the conveying apparatus is multiply alternately switched on and switched off.

Abstract: There is provided a non-excited operation type brake for a brake device that is configured to allow rotation of a motor shaft when energized and that is configured to stop the rotation of the motor shaft when de-energized, including: a casing that is configured to function as a yoke and that includes a coil accommodating portion having a substantially U-shaped cross section and formed in an annular shape as a whole. The casing further includes an auxiliary yoke that has a substantially cylindrical shape and that is fitted inside the coil accommodating portion, the auxiliary yoke being separated from the coil accommodating portion.

Abstract: The present disclosure relates to bioremediation systems and methods for wastewater treatment in heavy industry, including the mining industry. A benefit of the systems and methods disclosed herein can include the reduction of heavy metals in wastewater. Another benefit can be the treatment of acidic wastewater to achieve higher pH levels. An additional benefit can be the use of carbon dioxide to raise the pH level of acidic wastewater, or to produce feedstocks for the growth of anaerobic or aerobic microorganisms that are capable of reducing a concentration of heavy metals in wastewater. A benefit of the systems and methods herein can include the treatment of acid mining drainage wastewater, as well as heavy metal removal from other industrial wastewater. Another benefit of the methods and systems disclosed herein can include reduction of excess carbon dioxide from the environment.

Abstract: An operating method for a conveying device with an eccentric screw pump for conveying viscous construction materials comprising sensing a pressure of the construction material at an outlet of the eccentric screw pump when the eccentric screw pump is running and automatically switching off the eccentric screw pump if the pressure exceeds an upper limit value, otherwise continued operation of the eccentric screw pump. The method includes sensing a characteristic variable of the running eccentric screw pump and comparison of the characteristic variable with a first comparison variable, which is characteristic of operation with an open dispensing device and/or with a second comparison variable, which is characteristic of operation with a closed dispensing device, and switching off the eccentric screw pump if operation with a closed dispensing device is detected, otherwise continued operation of the eccentric screw pump.

Abstract: Smart fertilizers and method of using and manufacturing are provided that include nanocarbon solution mixed with nanocomposite hydrogels at predetermined percentage weight or volume ratio (% w/w or % v/v). The resulted smart fertilizers are characterized in biosensors for detecting electricity conductance (EC) and/or pH degree of the surrounding soil caused by the release of ATPase H+ from the plant roots and in bioactuators for chemically reacting with the surrounding hydron ions to release the nutrients once the biodetectors detect the stimuli conditions.

Abstract: A vehicle includes a system and a method of monitoring a condition of a brake fluid. The system includes a first sensor configured to measure a fluid level of the brake fluid within a reservoir, a second sensor configured to measure a concentration of the brake fluid, a third sensor configured to measure a temperature of the brake fluid, and a processor. The processor is configured to estimate the condition of the brake fluid from the fluid level, the concentration and the temperature and send a signal to a display, the signal indicative of the condition of the brake fluid.

Abstract: Systems and methods include obtaining a set of events, each event in the set of events comprising a time-stamped portion of raw machine data, the raw machine data produced by one or more components within an information technology or security environment and reflects activity within the information technology or security environment. Thereafter, a first neural network is used to automatically identify variable text to extract as a field from the set of events. An indication of the variable text is provided as a field extraction recommendation, for example, to a user device for presentation to a user.

Abstract: The present disclosure relates to biomanufacturing systems for producing an organic product. The present disclosure relates to recombinant microorganisms having an improved organic substrate producing ability, and to recombinant microorganisms having an improved organic product producing ability. A benefit of the systems and recombinant microorganisms disclosed herein can include an ability to separately produce an organic product and an organic substrate that generates a culture impurity during its production. The present disclosure relates to methods of producing an organic product using biomanufacturing systems and recombinant microorganisms disclosed herein.

Abstract: A process comprising (i) providing a gaseous stream including greater than 1% by volume carbon dioxide; (ii) providing water; (iii) converting the carbon dioxide and the water to an organic intermediate and oxygen gas in the presence of light; (iv) separating the oxygen gas from the organic intermediate; and (v) converting the organic intermediate to ethylene and carbon dioxide after said step of separating the oxygen gas from the organic intermediate.

Abstract: Embodiments of the present invention are directed to facilitating concurrent forecasting associating with multiple time series data sets. In accordance with aspects of the present disclosure, a request to perform a predictive analysis in association with multiple time series data sets is received. Thereafter, the request is parsed to identify each of the time series data sets to use in predictive analysis. For each time series data set, an object is initiated to perform the predictive analysis for the corresponding time series data set. Generally, the predictive analysis predicts expected outcomes based on the corresponding time series data set. Each object is concurrently executed to generate expected outcomes associated with the corresponding time series data set, and the expected outcomes associated with each of the corresponding time series data sets are provided for display.