Abstract: A chip breaking apparatus is provided. The chip breaking apparatus includes a robotic arm including a gripper, a cutter, an inspection element to produce an output indicative of machining tool operations and a processor receptive of the output from the inspection element. The processor is configured to analyze the output, determine from analysis results whether a chip is being generated from a surface by the machining tool operations and whether to cut the chip away from the surface and control the robotic arm and the gripper to grip the chip and control the cutter to cut the chip away from the surface based on an affirmative determination.

Abstract: A Scope 3 emission system includes a controller with a microprocessor and a memory. The memory stores executable instructions that when executed by the microprocessor cause the microprocessor to perform a computer-executable method. The method comprises generating embeddings based on enterprise financial transaction data, enterprise metadata, and crowd source data, and generating sector wise carbon-aware spatio-temporal weights indicative of an estimated level of Scope 3 emissions produced by a corresponding commodity sector. The method further includes generating a carbon-aware natural language processing (NLP) foundation model (FM) based on the embeddings and the sector wise carbon-aware spatio-temporal weights. User-generated data indicating at least one target commodity sector and spend data associated with the target commodity sector is input into the NLP FM, and the NLP FM outputs an estimation of the Scope 3 emissions based on the least one target commodity sector and the spend data.

Abstract: An embodiment adjusts a position of a piezoelectric generator within a hollow cylindrical tube, the position adjusted to cause the tube to vibrate at a first resonant frequency in response to an acoustic stimulus, the piezoelectric generator configured to close one end of the tube, the tube further comprising an open end disposed at an opposite end of the tube from the piezoelectric generator. An embodiment adjusts, by applying a voltage to the piezoelectric generator, a resonant frequency of the piezoelectric generator, the adjusting changing the resonant frequency of the piezoelectric generator to the first resonant frequency.

Abstract: A virtual reality (VR) collaboration network includes a VR computing system and a fraud detection and prevention system. The VR computing system is configured to generate a VR environment and to generate at least one avatar within the VR environment based on a user profile associated with an authorized human participant. The fraud detection and prevention system is configured to monitor the VR environment and at least one real-time behavior of the at least one avatar, and to identify the at least one avatar as a suspicious avatar operated by an unauthorized human participant different from the authorized human participant in response to the at least one real-time behavior being different from at least one expected behavior of the at least one avatar.

Abstract: An embodiment includes sending a first drone, including a carbon dioxide sensor, into an area. The embodiment includes detecting a level of carbon dioxide in the area and generating a map including a position and level of carbon dioxide. The embodiment includes calculating a carbon dioxide hotspot above a threshold. The embodiment includes creating a plan to diffuse the carbon dioxide hotspot in a time limit by calculating an amount of a drones to send to the area based on a needed amount of humidity and light to diffuse the carbon dioxide hotspot in the time limit. The amount of humidity and light are calculated using an optimizer module. The embodiment includes sending the calculated amount of drones to the area of the carbon dioxide hotspot. The embodiment includes diffusing the carbon dioxide hotspot, sampling the area, and updating the map with new levels of carbon dioxide.

Abstract: One or more systems, methods, and/or computer program products of use provided herein relate to swarm robot collaboration for light beam modulation. A system can comprise a photosensitive resin tank. The system can further comprise a plurality of swarm robots moving inside the photosensitive resin tank, where respective swarm robots can occupy positions relative to one another to modulate respective direction of light beams emitted by a subset of the plurality of swarm robots.

Abstract: The present inventive concept provides for a method of harnessing artesian aquifer power. The method includes obtaining weather data and artesian aquifer data for a geolocation. Weather features and artesian aquifer features are extracted from the obtained weather data and artesian aquifer data, respectively. Compression and decompression events are predicted for water in an artesian well at the geolocation by mapping the weather features and the artesian aquifer features. A plurality of piezoelectric springs connected to the artesian well are modulated to maximize artesian aquifer energy harnessed based on the predicted compression and decompression events.

Abstract: An embodiment selects, from a set of candidate locations within a power generation site, a first power generation location. An embodiment causes generation of electricity, by a first power generation unit, at the first power generation location. An embodiment forecasts, during the generation of electricity, a future power generation status of the first power generation unit at the first power generation location. An embodiment causes relocating, responsive to the future power generation status, of the first power generation unit to a second power generation location, the relocating altering the future power generation status.

Abstract: An embodiment establishes a potential energy source database based at least in part on sensor data received from a satellite, wherein the potential energy source database comprises coordinate data representative of a plurality of potential energy source locations. The embodiment instructs a robot to travel to a potential energy source location of the plurality of potential energy source locations. The embodiment scans the potential energy source location for a potential energy source. The embodiment detects the potential energy source in the potential energy source location. The embodiment evaluates whether the potential energy source meets a predetermined suitability criteria. The embodiment classifies the potential energy source as a suitable energy source. The embodiment instructs the robot to insert a pair of electrodes into the suitable energy source to generate an electrical current to charge a battery of the robot.

Abstract: An embodiment establishes an object behavior database, wherein the object behavior database comprises historical object behavior data corresponding to one or more objects. The embodiment scans a surrounding environment for one or more objects. The embodiment detects an object in the surrounding environment. The embodiment retrieves historical object behavior data corresponding to the object detected in the surrounding environment. The embodiment generates media corresponding to the object based in part on the historical behavior data and a current contextual scenario. The embodiment displays the media on a display interface.

Abstract: A method, computer system, and a computer program product for battery component identification is provided. The present invention may include receiving data for one or more industrial assets. The present invention may include generating a digital twin for each of the one or more industrial assets. The present invention may include simulating a performance of the digital twin for each of the one or more industrial assets. The present invention may include identifying one or more components of the one or more industrial assets for solid state battery integration based on the simulated performance of the digital twin, wherein the solid state battery integration includes the replacement of the one or more components with a solid state battery or the addition of the solid state battery to the one or more components.

Abstract: Data-analysis-based processes for optimizing road-based, shadow-effect energy generation are provided. The processes include obtaining a data-analysis-based control to facilitate energy harvesting using road-based, shadow-effect energy generation. The data-analysis-based control determines, for multiple road segments of a road, a respective illumination-to-shadow contrast value, and based on the respective illumination-to-shadow contrast values, identifies one or more road segments of the multiple road segments for shadow-effect energy generation. In addition, the data-analysis-based control initiates install of a shadow-effect energy generator in a road segment of the identified one or more road segments to facilitate energy harvesting from the road segment.

Abstract: A wind turbine that includes a plurality of turbine blades. Each of the plurality of turbine blades includes a plurality of openings that extend through each of the plurality of turbine blades, the plurality of openings are adapted to be opened or closed, and at least one of the plurality of openings is adapted to be opened to allow air to flow therethrough.

Abstract: Described are techniques for visualizing unauthorized access or attempted unauthorized access of the machines located on an industrial floor. Log files from the firewall monitoring traffic to and from the machines located on the industrial floor of the industrial facility are captured. The captured log files are then analyzed to identify the behavior used in accessing or attempting to access the machine(s) located on the industrial floor of the industrial facility. Furthermore, a knowledge base for unauthorized access tactics is analyzed. An augmented reality visualization may then be created to illustrate the unauthorized access tactic being performed on the machine(s) located on the industrial floor if the identified behavior is within a threshold degree of similarity to the unauthorized access tactic learned from the knowledge base. In this manner, machine operators will now be effectively informed of attempts to gain unauthorized access to the machines located on the industrial floor.

Abstract: Data-analysis-based processes for optimizing energy harvesting from a floating solar array system are provided. The processes include obtaining a data-analysis-based control to control energy harvesting from a floating solar array system on water. The floating solar array system includes a floating solar array to harvest solar energy and a kinetic energy harvester to harvest kinetic energy. The data-analysis-based control is configured to determine an environmental condition to effect the floating solar array system, and to dynamically adjust a configuration of the floating solar array system to optimize net energy harvesting of the floating solar array system from the floating solar array and the kinetic energy harvester based on the determined environmental condition to effect the floating solar array system.

Abstract: A computer implemented method for selective diffusion of acid rain. A number of processor units identifies concentrations of acidic gases using a set of satellite images. The number of processor units locates hot spots on a land using the concentrations of acidic gases. The number of processor units classifies the hot spots on the land into vulnerable zones having vulnerable zone classifications. The number of processor units determines cloud seeding materials and alkaline compounds known for the vulnerable zones to selectively diffuse the acidic gases and cause precipitation in the vulnerable zones based on the vulnerable zone classifications for the vulnerable zones.

Abstract: A method is presented including capturing sounds from a plurality of objects within a volumetric video, analyzing the captured sounds to generate context of the captured sounds, determining whether to remove any existing sounds or to add any new sounds resulting in sound variations, dynamically modifying the volumetric video to synchronize the sound variations with the plurality of objects by employing a generative adversarial network (GAN) model, and generating a new volumetric video exhibiting synchronization between the plurality of objects and the sound variations.

Abstract: In an approach for manufacturing a spare part with rapid speed, a processor identifies a spare part to be manufactured. A processor gathers a set of data regarding one or more properties of the spare part. A processor determines the spare part can be manufactured using a casting process. A processor determines a photosensitive resin can be used to make a mold in which an individual part of the spare part will be manufactured. A processor creates an ultraviolet (UV) ray based holographic model of the individual part. A processor projects the UV ray based holographic model of the individual part on the photosensitive resin. A processor enables the photosensitive resin to solidify to create a mold of the individual part. A processor dynamically creates a production line to assemble one or more molds of one or more individual parts of the spare part.

Abstract: Piezoelectric transducer-based techniques for harvesting maximum power using a digital twin framework are provided. In one aspect, a system for power harvesting includes: a mechanical energy source; piezoelectric transducers disposed on the mechanical energy source; a digital twin module configured to generate a virtual model of the mechanical energy source; an optimizer configured to use the virtual model to forecast a vibrational frequency of different portions of the mechanical energy source, as well as potential vibration hotspots; and a controller configured to modulate the resonance frequency of the piezoelectric transducers present at the potential vibration hotspots based on the vibrational frequency forecast at the potential vibration hotspots such that the piezoelectric transducers harvest maximum power from the mechanical energy source. A near optimal resonance frequency that provides a net energy gain can be calculated by the optimizer.

Abstract: A laser-based system and method for cleaning solar panels that have accumulate dirt or grime. The laser-based system employs methods for identifying optimum timing when the laser-based cleaning is to be performed. Otherwise, a selective cleaning will be performed on the solar panel. The method receives a combination of weather data, power output data, and solar image data to pin-point dust contours from the solar panel and removes the dust hotspots through pointed laser cleaning on accounting the tradeoff between the power consumed the by the laser and power gained from the cleaned solar panel. To achieve pin-pointed laser beam cleaning, the system adjusts the focal length of the laser beam. The method pin-points the removal of dust contours responsible for reduction in power output by analyzing weather, power output and time series images and optimally determines the region of interest to remove the dust hotspots through pointed laser cleaning.