Abstract: A method for determining an availability of an electric vehicle charging station is disclosed. The method includes: obtaining a distance between a mobile device and the electric vehicle charging station using a first geolocation information and a second geolocation information; based on the determined distance, determining an availability of the electric vehicle charging station; and sending a message to a user regarding the determined availability of the electric vehicle charging station.

Abstract: In one embodiment, a remote monitoring system for a fluid applicator system is disclosed. The fluid applicator system is disposed to heat and pump spray fluid, and to transmit reports including sensed temperatures, pressures, and other operational parameters of the fluid applicator system via a wireless network. The remote monitoring system comprises a data storage server, and an end user interface. The data storage server is configured to receive and archive the reports. The end user interface is configured to provide a graphical user interface based on the reports. The graphical user interface illustrates a status of the fluid handling system, sensed and commanded temperatures of the fluid handling system, sensed and commanded pressures of the fluid handling system, and usage statistics of the fluid handling system.

Abstract: The present invention relates to a quick-response voltage control method of distribution systems considering multiple participants, comprising a multiple agent system (MAS), which collects the local information of the distribution system controlled by each agent and interacts with the local information collected by each agent, so that voltage-power sensitivity of the distribution system, used for providing the theoretical basis for voltage regulation, is calculated by distributed calculation; and multiple participants, which establish incentive mechanism by DSOs based on the bidding game with imperfect information, and independently decide their own strategies to obtain the voltage regulation subsidy from the DSOs, according to the calculated voltage-power sensitivities, thus provide voltage support for the distribution system in the process of pursuing benefit maximization.

Abstract: Techniques regarding the synthesis of one or more polymers of a target polymer class are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a recommendation component that can generate a recommended chemical reactor control setting for inverse synthesis of a polymer based on a target polymer characteristic and reactor training data.

Abstract: A method is provided that provides data analysis for sequence of events reporting in the operation of an industrial process. A digital filter and edge detector are provided that combines a method for excluding known invalid samples and a method for excluding samples taken while the input in the traveling range. The filtering method reduces the overhead on the CPU from managing the sequence of events machine and allows it to focus on performing safety functions.

Abstract: Provided is an artificial intelligence air conditioner for calibrating sensor data. The artificial intelligence air conditioner includes a sensor unit configured to acquire sensor data; a communication unit configured to receive at least one of external sensor data or environment information from at least one of an external air conditioner or an internet of things (IoT) device; and a processor. The processor is configured to generate estimated sensor data corresponding to the sensor unit using a sensor data estimation model, the received external sensor data and the received environment information, determine whether the acquired sensor data is abnormal using the generated estimated sensor data, perform an air conditioning function using the acquired sensor data if the acquired sensor data is determined as normal, and perform the air conditioning function using the generated estimated sensor data if the acquired sensor data is determined as abnormal.

Abstract: The present disclosure provides systems and methods for managing a temperature of a battery energy storage system (“BESS”). A method may comprise identifying operating temperature limitations of the BESS; obtaining a forecast horizon comprising a forecast of external environmental conditions for a time period; identifying a charging/discharging schedule of the BESS; simulating operation of the BESS for the time period for each of a plurality of sequences of thermal management modes according to the charging/discharging schedule and the forecast horizon, the simulating generating an energy consumption and an operating temperature forecast of for each of the plurality of sequences of thermal management modes; selecting a sequence of thermal management modes of the plurality of sequences; and operating the equipment according to the selected sequence of thermal management modes.

Abstract: To efficiently collect and transfer monitoring target data in a PLC. The PLC includes a first execution engine, a holding section, and a second execution engine. Further, the PLC collects data stored in a collection target holding section according to predetermined collection setting, accumulates collected time-series data in a first buffer, and transfers the time-series data stored in the first buffer to the second execution engine via a bus. The second execution performs data processing of the transferred time series data, generates display data to be displayed on a dashboard, and provides the display data to an external computer.

Abstract: Embodiments of the present disclosure provide method and device for providing service for a programmable logic controller (PLC), including: creating a virtual-functional-module-description file including an address of an input channel of a virtual functional module to be created; and creating the virtual functional module in a PLC based on the virtual-functional-module-description file, assigning the address to the input channel of the virtual functional module, and creating a virtual-functional-module-configuration file including a mapping relation between the input channel and an output of a service provider. The present disclosure proposes a concept of a virtual functional module which is used to map data provided by intelligent data sources outside the PLC to input channel of PLC so that the data can be the same as normal input values used by PLC program.

Abstract: A method to set up the parameters of solder paste screen printer while in a new product introduction (NPI). The method includes establishing a solder-printing database of a predetermined product and a database of different specifications of products, and training a first prediction model by reference to a solder paste screen printer (SPSP) and a solder paste inspection (SPI) based on the solder-printing database. A second prediction model is trained by reference to the SPI based on the database of different products. The method further includes predicting parameters for products with different specifications under multiple sets of printing parameters based on the first and second prediction models. An objective function based on the predicted measurements is established, and a specification of a product and a printing expectation parameters are input to the objective function for outputting many sets of printing-suggestion parameters of the new product.

Abstract: In one embodiment, a remote monitoring system for a fluid applicator system is disclosed. The fluid applicator system is disposed to heat and pump spray fluid, and to transmit reports including sensed temperatures, pressures, and other operational parameters of the fluid applicator system via a wireless network. The remote monitoring system comprises a data storage server, and an end user interface. The data storage server is configured to receive and archive the reports. The end user interface is configured to provide a graphical user interface based on the reports. The graphical user interface illustrates a status of the fluid handling system, sensed and commanded temperatures of the fluid handling system, sensed and commanded pressures of the fluid handling system, and usage statistics of the fluid handling system.

Abstract: A computer-implemented reinforcement learning method includes determining, based on a target probability of satisfaction of a constraint condition related to a state of a control object and a specific time within which a controller causes the state of the control object not satisfying the constraint condition to be the state of the control object satisfying the constraint condition, a parameter of a reinforcement learner that causes, in a specific probability, the state of the control object to satisfy the constraint condition at a first timing following a second timing at which the state of control object satisfies the constraint condition; and determining a control input to the control object by either the reinforcement learner or the controller, based on whether the state of the control object satisfies the constraint condition at a specific timing.

Abstract: An energy evaluation system includes an energy system modeling framework and an Application Program Interface (API) as part of the energy system evaluation framework. The energy evaluation system can be configured to query a simulation application program interface (API) with PV system configuration parameters as arguments, generate a shade loss time series based on the system configuration parameters, simulate energy output for the PV system based on the shade loss time series, and output energy aggregations based on the simulation.

Abstract: In one aspect of the invention a system and method is claimed for providing model parameters for three dimensional fabrication of anatomical structures by obtaining and reconstructing three dimensional image data with a medical imager wherein imaging acquisition parameters of the imaging system and/or reconstruction input parameters of the reconstructor are optimized for maximum geometry precision. Advantageously, the imaging system is further configured to obtain material and/or functional information of the anatomical structure model and that material information is used to incorporate the material information in the anatomical model.

Abstract: There is provided a control device that prevents the occurrence of an abnormality in control using artificial intelligence in the case where an abnormality occurs in another terminal that performs the control using the artificial intelligence. A control means (a first control unit) performs the control using artificial intelligence. The control means (second control unit) performs control different from the artificial intelligence. A control switching unit (a switching determination means, a switch) is configured to, when another terminal having the control means (the first control unit) is normal, cause the own control means (the first control unit) to perform the control using artificial intelligence, and when an abnormality occurs in another terminal having the control means (the first control unit), cause the control means (the second control unit) to perform the control different from artificial intelligence.

Abstract: A method and a system to measure and control indoor environment using Internet of Things (IoT) and Artificial Intelligence (AI) or Strong Artificial Intelligence (SAI). The method includes the steps of measuring air quality of an indoor environment and/or outdoor environment using respective sensors and/or analyzers, followed by receiving, configuring and controlling the data, by the processor, to maintain the indoor air quality using healthy gas stored in the container(s) and using air conditioned unit to achieve the user desired indoor air quality parameters. Further, a system for measuring and controlling air quality in an indoor environment as desired by the user. The user can even customize the parameters to achieve desired air quality in the indoor environment.

Abstract: A camera (26) takes an image of at least one user (U1, U2, U3). A room environment information sensor (13) senses room environment information relating to an environment of a room (r1) in which the at least one user (U1, U2, U3) is present. The estimator (66) estimates a drowsiness condition of the at least one user (U1, U2, U3) based on the image of the at least one user (U1, U2, U3) taken by the camera (26) and the room environment information sensed by the room environment information sensor (13).

Abstract: A heat cycle system and a control method. The heat cycle system includes: driving devices, one or a plurality of outdoor units, and a plurality of indoor units, which are connected by pipelines; a bypass pipeline for the plurality of indoor units, a bypass valve being disposed in the bypass pipeline; a pressure sensor that senses a pressure difference ?Po across the plurality of outdoor units; and a controller that is preset with a pressure difference set value ?Pset, wherein the controller calculates a pressure offset parameter ?P=?Po??Pset and adjusts an opening degree of the bypass valve based on the pressure offset parameter ?P so that the pressure offset parameter ?P approaches zero, and wherein the controller is preset with a first pressure offset threshold P1, and the controller is configured such that closed indoor units enter a bypass mode one by one when ?P>P1, until ?P?P1.

Abstract: A calibration system for calibrating a pressure output of a fluid injector having a housing configured for connecting to the fluid injector; a drive member engagement portion configured for contacting a drive member of the fluid injector; a compressible member, which may have a known modulus of compression, connected at its proximal end to the drive member engagement portion, wherein the compressible member is compressed with movement of the drive member of the fluid injector between a first, uncompressed position and a second, at least partially compressed position of the fluid injector in a distal direction; and a sensor connected to the compressible member is described. The sensor is configured for measuring at least one of a force imparted by the drive member and a displacement of the drive member when the compressible member is in the second, at least partially compressed position.

Abstract: An abnormality detector includes a signal output unit for detecting a sign of an abnormality based on a physical quantity acquired from a manufacturing machine and outputting a signal; and a machine learning device including state observation unit for observing, as a state variable representing a present state of the environment, physical quantity data indicating the physical quantity related to an operation of the manufacturing machine from the manufacturing machine; a label data acquisition unit for acquiring, as label data, operation state data indicating an operation state of the manufacturing machine; a learning unit for learning the operation state of the manufacturing machine with respect to the physical quantity, using the state variable and the label data; and an estimation result output unit for estimating the operation state of the manufacturing machine using a learning result by the learning unit and outputting an estimation result.