Abstract: A method, computer system, and a computer program product are provided for re-using of metal by-products prior to fabrication of a main metal product. A plurality of applications are analyzed metal by-products prior to fabrication of the main metal product. The size and quantity requirements of metal products needed for each of the plurality of applications is calculated. It is then determined any fabrication tool required to create the metal by-products. At least one methodology is identified and analyzed that can be used to fabricate the metal by-products for each of plurality of applications. A methodology and related application is selected based on a best match with factors on a preselected objective list. An outline profile is created to be used for fabrication of metal byproducts that includes a plurality of characteristic parameters and a range of acceptable values associated with each parameter.

Abstract: A computer implemented method identifies a set of environmental projects. A number of processor units identifies a group in a plurality of groups for organization of interest using organization parameters for the organization of interest. The number of processor units determines environmental performance for the organizations in the group using environmental data and the organization parameters for the organizations in the group. The number of processor units identifies the set of environmental projects for the organization of interest based on the environmental performance determined for the organizations in the group.

Abstract: According to one embodiment, a method, computer system, and computer program product for flood mitigation is provided. The present invention may include detecting cloud formation; projecting a path of the formed cloud; determining a risk of a flood event in a city based on the projected cloud path and the detected cloud formation; performing a cost-benefit analysis based on the determined risk; and, based on the cost-benefit analysis, deploying cloud seeding at one or more regions.

Abstract: Described are techniques for self-protecting a robotic bee. An unbalanced operation of the robotic bee being performed on a plant that is caused by a threat is detected. Furthermore, the type of plant involved in the detected unbalanced operation is determined. Additionally, the level of threat to the robotic bee in not being able to complete its requested operation is classified based on the received images of the operation of the robotic bee being performed on the plant. Based on the type of plant and the classified level of threat, an amount of an impulse force to be generated by the robotic bee is determined using a trained reinforcement learning model. An impulse force is a fast-acting force which is utilized by the robotic bee to move away from the area causing the threat. Such an amount of impulse force is instructed to the robotic bee to be generated.

Abstract: Evaluating localized atmospheric conditions for selected cloud seeding to enhance localized electrical power generation from wind turbines by receiving, at a computer, wind farm data related to a plurality of wind turbines for generating electrical power at a location. The wind farm data collected from sensors at the location. An atmospheric condition in the atmosphere at the location is assessed by the computer, using the wind farm data and the data of the atmospheric conditions. The computer generates a prediction of an impact of the atmospheric condition on the atmospheric wind speed resulting in a wind turbine power output reduction. A determination is made when to initiate cloud seeding to generate rain at the location and reduce the atmospheric condition. Generating a communication to a control system which includes a recommendation to initiate the cloud seeding based on the prediction.

Abstract: Computer-implemented methods for optimizing energy production by a wind turbine having shadow energy generator are provided. Aspects include obtaining a geographic location of the wind turbine and a weather forecast for the geographic location. Aspects also include calculating an estimated wind energy production for each of a plurality of configurations of the wind turbine based on the weather forecast, calculating an estimated shadow energy generator energy production for each of the plurality of configurations of the wind turbine based on the weather forecast, and identifying one of the plurality of configurations of the wind turbines based on a combination of the estimated wind energy production and the estimated shadow energy generator energy production.

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: 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: 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: 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: 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: 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: 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: 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: 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.