Abstract: Embodiments of the disclosure provide systems and methods for predicting estimated cost of repairs for a vehicle. According to embodiments of the present disclosure, the estimate review system 305 can provide an Artificial Intelligence (AI)-based solution that can predict an estimated cost of repair. Embodiments can further quantify whether a shop's estimates are competitively written in a specific market/segment, e.g., a particular geographic region. The predicted cost of repair and the shop written estimate can be used to compute a score indicative of the estimate's competitiveness.

Abstract: A system and method for determining malicious content associated with a platform(s) are provided. The system may analyze one or more communications of users associated with a platform. The system may implement a machine learning model including training data pre-trained, trained in real-time, or periodically trained based on one or more behavior content items associated with one or more accounts associated with the platform and content determined as being malicious. The system may determine, by implementing the machine learning model, whether the at least one communication of the one or more communications include malicious content based on determining at least one score by the machine learning model. The system may block the malicious content from being sent to other users of the platform in response to determining that the at least one score denotes that the at least one communication includes the malicious content.

Abstract: Described herein are systems utilizing a DevSecOps model comprising a CI/CD template, framework interfacing with a CI/CD pipeline that can integrate the assemblage of software components that collectively automate the building, testing, and delivery of applications within various hosting environments. Also described herein are methods utilizing the aforementioned systems.

Abstract: A method of automatically providing a process completion information of an application process is disclosed. The method includes receiving one or more log files associated with the application process, wherein the one or more log files comprises one or more log lines; implementing a meta-data subsystem to identify one or more stages associated with the one or more log lines based on a set of pre-determined sequenced metadata information; and automatically determining and providing, via the metadata subsystem, the process completion information of the application process based on the identified one or more stages associated with the one or more log lines.

Abstract: Techniques for managing dataset resource instance performance via a data-centric approach are disclosed. A system determines an aggregated level of service demands placed on individual dataset resource instances that may be in a distributed computing system. The system may identify portions of a dataset that are associated with high levels of service demands. Once identified, the system may provide an administrator with the service demand information. The administrator may relocate these high demand dataset portions to other dataset resource instances that are better able to respond to the high levels of demand without impaired performance.

Abstract: A method of automatically providing a process completion information of an application process is disclosed. The method includes receiving one or more log files associated with the application process, wherein the one or more log files comprises one or more log lines; implementing a meta-data subsystem to identify one or more stages associated with the one or more log lines based on a set of pre-determined sequenced metadata information; and automatically determining and providing, via the metadata subsystem, the process completion information of the application process based on the identified one or more stages associated with the one or more log lines.

Abstract: Techniques for managing dataset resource instance performance via a data-centric approach are disclosed. A system determines an aggregated level of service demands placed on individual dataset resource instances that may be in a distributed computing system. The system may identify portions of a dataset that are associated with high levels of service demands. Once identified, the system may provide an administrator with the service demand information. The administrator may relocate these high demand dataset portions to other dataset resource instances that are better able to respond to the high levels of demand without impaired performance.

Abstract: Described herein are systems utilizing a DevSecOps model comprising a CI/CD template, framework interfacing with a CI/CD pipeline that can integrate the assemblage of software components that collectively automate the building, testing, and delivery of applications within various hosting environments. Also described herein are methods utilizing the aforementioned systems.

Abstract: Techniques for capturing query execution statistics are disclosed. The disclosed system determines which queries are executing during a sampling interval. The system identifies related queries that share similarity criteria with the currently executing query. The system obtains query execution statistics for the query executing during the sampling interval and any related queries. The system generates or obtains statistics during a monitoring window that spans a longer period of time than a single intervening period between the current sampling interval and a prior interval. The statistics are stored in permanent storage or transmitted to a requesting computer. The system refrains from analyzing statistics for queries (and any related queries) that did not execute during a current sampling interval.

Abstract: Techniques for capturing query execution statistics are disclosed. The disclosed system determines which queries are executing during a sampling interval. The system identifies related queries that share similarity criteria with the currently executing query. The system obtains query execution statistics for the query executing during the sampling interval and any related queries. The system generates or obtains statistics during a monitoring window that spans a longer period of time than a single intervening period between the current sampling interval and a prior interval. The statistics are stored in permanent storage or transmitted to a requesting computer. The system refrains from analyzing statistics for queries (and any related queries) that did not execute during a current sampling interval.

Abstract: A system selects a set of advertisement media associated with a product. A set of persistent advertisement media from the set of advertisement media is identified based on one or more tests. A Gaussian Bayesian (GB) network based on the set of advertisement media. A net persistence rate for each of the set of persistent advertisement media is determined based on the GB network. a competitor factor associated with another vendor of the product is computed based on one or more marketing parameters associated with the another vendor. A predicted sales (PS) value associated with each of the set of persistent advertisement media is determined. A persistent advertisement medium is selected in real time based on corresponding PS value. An advertisement is rendered on the selected persistent advertisement medium in real time for marketing the product.

Abstract: Apparatus (300, 400) and method (600) for passive remote control are provided. The apparatus (300) includes at least two radio-frequency identification (RFID) tag devices (330_1, 330_2, 330_N, 430_1, 430_2) each operable to transmit a signal when activated and a first switch coupled to the at least two RFID tag devices (310_1, 310_2, 310_K, 410_1) and operable to activate the at least two RFID tag devices when the first switch is in a first switch state, said first switch being a first key identified by RFID tag information of the at least two RFID tag devices. Apparatus (110) and method (700) for receiving RFID signals are also provided.

Abstract: A system provides a configurable market mix modeling (MMM) platform based on machine-learning (ML). The system may include configurable MMM pipelines in which an end user may identify portions and/or inputs to the MMM pipelines to be included or excluded from ML modeling. The system may apply ML to market data to automatically discover variables that correlate with a key performance indicator (PKI) such as sales to be used for modeling. The system may automatically generate multiple models, filter the models for robustness and ensemble the filtered models to generate a unified model. The unified model may be optimized using a multi-layered approach and introducing deviations into the model.

Abstract: A method of detecting eavesdropping, i.e. a physical layer attack, on an optical communications channel. The method comprises sending a first, classical message over an optical channel by encoding the message onto an optical carrier using a classical communications technique and sending a second, quantum message over the optical channel using a quantum cryptographic technique, e.g. a Continuous Variable Quantum Key Distribution (CV-QCD) technique; and detecting eavesdropping of the classical message on the optical channel by detecting the eavesdropping of the quantum message. In implementations the classical and quantum signals may be substantially indistinguishable to hinder an adversary from eavesdropping on the first signal without influence the second signal.

Abstract: A sensor including an integrated circuit and a piezoelectric substrate is described. The piezoelectric substrate is adapted as an antenna of an integrated circuit. The antenna may be an RFID antenna and the integrated circuit may be and RFID integrated circuit.

Abstract: Apparatus (300, 400) and method (600) for passive remote control are provided. The apparatus (300) includes at least two radio-frequency identification (RFID) tag devices (330_1, 330_2, 330_N, 430_1, 430_2) each operable to transmit a signal when activated and a first switch coupled to the at least two RFID tag devices (310_1, 310_2, 310_K, 410_1) and operable to activate the at least two RFID tag devices when the first switch is in a first switch state, said first switch being a first key identified by RFID tag information of the at least two RFID tag devices. Apparatus (110) and method (700) for receiving RFID signals are also provided.

Abstract: A system selects a set of advertisement media associated with a product. A set of persistent advertisement media from the set of advertisement media is identified based on one or more tests. A Gaussian Bayesian (GB) network based on the set of advertisement media. A net persistence rate for each of the set of persistent advertisement media is determined based on the GB network. a competitor factor associated with another vendor of the product is computed based on one or more marketing parameters associated with the another vendor. A predicted sales (PS) value associated with each of the set of persistent advertisement media is determined. A persistent advertisement medium is selected in real time based on corresponding PS value. An advertisement is rendered on the selected persistent advertisement medium in real time for marketing the product.

Abstract: A method for monitoring physiological signal characteristics of a living subject is disclosed. A salient idea is to electromagnetically couple the antennas of respectively a networking device and a monitoring device, the networking device transmitting a wireless signal, the monitoring device receiving first and second signals from the electromagnetic coupling. The first and second signals include a reflection of the transmitted signal on a living subject as well as a part of the transmitted signal resulting from the antenna coupling. A self-interference cancellation processing is applied to the received first and second signals for extracting the reflected signal from the first signal prior to amplifying and mixing with the received second signal to monitor physiological signal characteristics of the living subject.

Abstract: A method for harvesting an energy from a power cord is disclosed. The method includes mounting two electrodes around the power cord. The electrodes have a first conductive part being partially cylindrical around an axis, and a plurality of spikes, originating from the first conductive part, directed towards the axis, and inserted in an insulating envelope of the power cord, so as to increase the capacitive coupling to the wires inside the power cord and to increase the amount of harvested energy by the two electrodes. A device such as for example a wireless RFID tag is advantageously powered by the energy harvested by the two electrodes.

Abstract: A method for harvesting an energy from a power cord is disclosed. A salient idea of the present principles is to adapt the antenna of a wireless tag device, so as to harvest an energy from a power cord and to power the wireless tag with the harvested energy. The disclosed principles propose to combine in a single antenna a classical antenna function of radio frequency signals reception to a new function of energy harvesting from a power cord. The harvested energy is used to power the wireless tag device or to boost the range performances of the wireless tag, through the powering of its communication circuitry.