Abstract: A system and method that allows use of a product to review its users and generates a report summarizing how closely the product has been used according to its intended use. The product includes on-board and associated I-o-T sensors to differentiate between different users of the same product and provide data correlating usage how the product is used by each user. The system and method provide recommendations regarding how a typical behavior of each user can change during its use to optimize a product's its function, lifespan, efficiency. The report additionally serves to evaluate how effective each user is at rating the product by creating a feedback evaluation report and reliability score for each user, giving weight to basically all product reviews that the user may have submitted on other products. All customer reviews submitted online by a given user can be linked, for example by username, IP address, etc.

Abstract: A domain transformation system may determine a source ontology for a source domain of a first environment. The source domain relates to a process performed in the first environment. The process may be transformed from the source domain to a target domain of a second environment, such as a virtual environment. The domain transformation system may determine a first portion of a target ontology for the target domain. The domain transformation system may generate, using a machine learning technique, a first embedding of the source ontology and a second embedding of the target ontology. The domain transformation system may generate a joint embedding based on the first embedding and the second embedding domain transformation system and may determine a second portion of the target ontology, based on the joint embedding, using a transfer learning technique. The domain transformation system may refine the target ontology using a neuro-symbolic artificial intelligence technique.

Abstract: A method and related system selectively dims a proper subset of a plurality of tiles (DTPTs) that are a part of a contiguous dimmable transparent panel (DTP). Using a processor and in a real-time continuous feedback loop, the method comprises detecting, using a light source detector with an outward facing sensor, a location of an illumination source within a volume adjacent to an outside surface of the DTP. The method further comprises determining, using a head/eye detector with an inward facing sensor, a viewer's gaze direction within a volume adjacent to an inside surface of the DTP. The method further comprises determining a panel intersection point for a light ray extending from the illumination source location along the viewer's gaze direction. Finally, the method comprises selectively dimming the proper subset of DTPTs proximate the panel intersection point.

Abstract: According to one embodiment, a method, computer system, and computer program product for wrong way driving detection is provided. The embodiment may include monitoring indications of wrong way traversal along a traversal path through one or more on-board, Internet of Things (IOT) sensors. The embodiment may also include determining whether wrong way traversal of the traversal path is occurring based on a risk assessment value satisfying a preconfigured threshold. The embodiment may further include, in response to determining the risk assessment value satisfies the preconfigured threshold, performing a corrective action to ameliorate the wrong way traversal.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: A computer-implemented method for predicting electric vehicle (EV) charging behavior of a driver. The method includes predicting when an EV needs to be charged, where the EV needs to be charged, and for how long the EV needs to be charged based on individualized characteristics of the driver or one or more passengers, weather conditions, and geospatial characteristics. The method further includes evaluating an availability of one or more EV charging stations located within a given radius of the EV and comparing a location of the one or more available EV charging stations, located within the given radius of the EV, to one or more desired locations of the driver of the EV. The method further includes determining an estimated waiting time at the one or more EV charging stations and scheduling an EV charging time at the one or more EV charging stations, based on the location and duration.

Abstract: A computer-implemented method for correcting muffled speech caused by facial coverings is disclosed. The computer-implemented method includes monitoring a user's speech for speech distortion. The computer-implemented method further includes determining that the user's speech is distorted. The computer-implemented method further includes determining that a cause of the user's speech distortion is based, at least in part, on a presence of a particular type of facial covering. The computer-implemented method further includes automatically correcting the speech distortion of the user based, at least in part, on the particular type of facial covering causing the speech distortion.

Abstract: Described are techniques for corroborating anomalous behavior. The techniques include training devices included in an Internet of Things (IoT) mesh network to independently identify occurrences of anomalous behavior in a proximate physical environment. The techniques further include receiving event data from at least a portion of the devices in the IoT mesh network corresponding to a time window, where the event data reports occurrences of at least one type of anomalous behavior. The techniques further include corroborating the at least one type of anomalous behavior to determine that the occurrences of the at least one type of anomalous behavior indicate an anomalous event that meets a reporting threshold for providing notice of the anomalous event. The techniques further include generating a notification regarding the anomalous event.

Abstract: A method for measuring alpha particle emissions may include obtaining a wafer emission rate, wherein the wafer emission rate is measured with a counter. The method may further include covering the wafer with a metal mesh grounded to a cathode of the counter wherein the metal mesh is grounded to the cathode outboard of the wafer and obtaining a mesh and wafer emission rate, wherein the mesh and wafer emission rate is measured with the counter. The method may further include replacing the wafer with a wafer carcass, obtaining a wafer carcass and mesh emission rate, and calculating a wafer carcass emissivity.

Abstract: A method, computer system, and a computer program product for interpreting conference call interruptions is provided. The present invention may include analyzing a conference call including at least two participants. The present invention may also include identifying at least one interrupted segment in the analyzed conference call. The present invention may further include reconstructing the identified at least one interrupted segment of the analyzed conference call and integrating it with the uninterrupted (heard) portion of the conference call.

Abstract: An exemplary method includes vehicle-mounted sensors continuously detecting vehicle speed and vehicle tire and steering vibrations; a processor implementing a machine-learning program that continuously monitors signals from the vehicle-mounted sensors and compares detected vehicle tire and steering vibrations to upper bounds corresponding to detected vehicle speed; and the processor alerting a vehicle driver that wheel or tire service is required based on the detected vehicle tire and steering vibrations exceeding the upper bounds. An exemplary apparatus includes a vehicle; tires mounted to the vehicle; a speed sensor mounted to the vehicle; a vibration sensor mounted to the vehicle; and a processor connected in communication with the speed sensor and the vibration sensor. The processor is adapted to implement any of the method steps above.

Abstract: A moving target service receives path of locations of a moving target monitored by a navigation device. The moving target service calculates at least one optimized course for at least one user to follow to intersect with the moving target at one or more future locations predicted based on the path of the locations and based on at least one context record. The moving target service outputs the at least one optimized course to a display interface accessible to the at least one user for directing the user to navigate from a starting point to at least one of the one or more future locations.

Abstract: Techniques are described for providing live first aid response guidance using a machine learning based cognitive aid planner. In one embodiment, a computer-implemented method is provided that comprises classifying, by a system operatively coupled to a processor, a type of an injury endured by a patient. The method further comprises, employing, by the system, one or more machine learning models to estimate a risk level associated with the injury based on the type of the injury and a current context of the patient.

Abstract: One or more processors receive data associated with delivery of a package to a delivery drop-off area. The data includes delivery history of the drop-off area, current and predicted weather conditions, customer profile data, and package content information. The one or more processors detect surface conditions of the delivery drop-off area. The one or more processors determine a hazardous condition for retrieval of a delivered package in the delivery drop-off area, based on the images and sensor data received from the delivery vehicle and processed by one or more machine learning models. The one or more processors perform actions to mitigate the hazardous condition at the delivery drop-off area, and the one or more processors provide a notification updating the hazardous condition in the delivery drop-off area and the at least one mitigating action taken.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: A system, an article of manufacture, and a method are disclosed. The system includes a set of components in an enclosure. The set of components includes electronic devices and airflow moving components configured to maintain airflow across the electronic devices from a front plenum of the enclosure to a rear plenum of the enclosure and direct air from the rear plenum through the first heat exchanger. The set of components also includes a first heat exchanger configured to circulate a cooling liquid and a second heat exchanger configured to maintain a constant temperature of the cooling liquid, wherein the constant temperature is a temperature of the cooling liquid within a threshold distance from a selected temperature.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: A system and method that allows use of a product to review its users and generates a report summarizing how closely the product has been used according to its intended use. The product includes on-board and associated I-o-T sensors to differentiate between different users of the same product and provide data correlating usage how the product is used by each user. The system and method provide recommendations regarding how a typical behavior of each user can change during its use to optimize a product's its function, lifespan, efficiency. The report additionally serves to evaluate how effective each user is at rating the product by creating a feedback evaluation report and reliability score for each user, giving weight to basically all product reviews that the user may have submitted on other products. All customer reviews submitted online by a given user can be linked, for example by username, IP address, etc.

Abstract: Embodiments of the present invention describe predictively reconstructing a physical event using augmented reality. Embodiments describe, identifying relative states of objects located in a physical event area by using video analysis to analyze collected video feeds from the physical event area before and after a physical event involving at least one of the objects, creating a knowledge corpus including the video analysis and the collected video feeds associated with the physical event and historical information, and capturing data, by a computing device, of the physical event area.

Abstract: A system, method, and computer program product for verifying signatures. The system includes at least one processing component, at least one memory component, and a reference storage comprising a set of reference signatures. The system also includes a model generator configured to generate a signature model based on the set of reference signatures. Further, the system includes a verification component configured to receive a signature, and determine whether the signature is valid.