Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices through the obfuscation of stay points. Methods may include: receiving probe data points of a trajectory in real-time or near real-time from a probe apparatus as it travels along the trajectory; calculating, for each probe data point, a probability of the trajectory reaching a stay point within a predetermined distance; providing sequential sub-sets of probe data points of the trajectory to a location-based service provider in response to the sequential sub-sets of probe data points including probe data points having a probability failing to satisfy a predetermined value; and identifying a potentially last sub-set of probe data points of the sequential sub-sets of probe data points to provide to the location-based service provider in response to identifying a probe data point having a probability of the trajectory reaching a stay point within the predetermined distance satisfying the predetermined value.

Abstract: An authentication system for verifying creation of digital content includes a machine learning classifier configured to analyze data points related to a content creation process, a programmatic rules-based analysis component configured to apply predefined criteria to the data points, and a human-viewable replay component configured to provide a visual representation of the content creation process. The authentication system is configured to determine whether the digital content was created by a human or generated by artificial intelligence (AI) based on outputs from the machine learning classifier, the programmatic rules-based analysis component, and the human-viewable replay component.

Abstract: A method of treating exhaust gas from a lean burn internal combustion engine is disclosed. The method comprises: introducing ammonia or an ammonia precursor into the exhaust gas upstream of an Fe-SCR catalyst, the Fe-SCR catalyst comprising iron and a zeolite; and contacting the exhaust gas with the Fe-SCR catalyst; wherein the amount of ammonia or ammonia precursor introduced into the exhaust gas upstream of the Fe-SCR catalyst is controlled to provide an ammonia-to-NOx molar ratio (ANR) in the exhaust gas contacting the Fe-SCR catalyst of from greater than 2 to 6.

Abstract: Apparatuses and methods of operating such apparatuses are disclosed. An apparatus comprises feature dataset input circuitry to receive a feature dataset comprising multiple feature data values indicative of a set of features, wherein each feature data value is represented by a set of bits. Class retrieval circuitry is responsive to reception of the feature dataset from the feature dataset input circuitry to retrieve from class indications storage a class indication for each feature data value received in the feature dataset, wherein class indications are predetermined and stored in the class indications storage for each permutation of the set of bits for each feature. Classification output circuitry is responsive to reception of class indications from the class retrieval circuitry to determine a classification in dependence on the class indications. A predicated class may thus be accurately generated from a simple apparatus.

Abstract: A method, apparatus and computer program product are provided in order to provide at least approximate real-time intelligent gap placement within mobility data using junctions inferred by features of the mobility data. In this regard, a data chunk associated with a sequence of location probe data points representative of travel of a vehicle along a portion of a road network is received. Additionally, junction behavior in the data chunk is identified based on one or more features for the sequence of location probe data points. Based on a status of a previous data chunk and a junction point that corresponds to a location probe data point immediately after a last probe data point in the junction, a gap placement or a sub-trajectory is applied in the sequence of location probe data points to generate at least a first subsequence and second subsequence of the location probe data points.

Abstract: A method, apparatus and computer program product are provided in order to provide intelligent gap placement within mobility data using junctions inferred by features of the mobility data. In this regard, a sequence of location probe data points representative of travel of a vehicle along a portion of a road network during an interval of time is received. Additionally, junction behavior in the sequence of location probe data points is identified based on one or more features for the sequence of location probe data points. Based on a junction point that corresponds to a location probe data point immediately after a last probe data point in the junction, a gap placement in the sequence of location probe data points to generate at least a first subsequence of the location probe data points and a second subsequence of the location probe data points.

Abstract: A method, apparatus and computer program product are provided in order to provide intelligent trajectory configurations within mobility data using junctions inferred by features of the mobility data. In this regard, a sequence of location probe data points representative of travel of a vehicle along a portion of a road network during an interval of time is received. Additionally, junction behavior in the sequence of location probe data points is identified based on one or more features for the sequence of location probe data points. Based on the junction behavior, a last probe data point of a first sub-trajectory for the trajectory and a first probe data point of a second sub-trajectory for the trajectory, a gap placement is applied in the sequence of location probe data points to generate at least a first subsequence of the location probe data points and a second subsequence of the location probe data points.

Abstract: A method of treating exhaust gas from a lean burn internal combustion engine is disclosed. The method comprises: introducing ammonia or an ammonia precursor into the exhaust gas upstream of an Fe-SCR catalyst, the Fe-SCR catalyst comprising iron and a zeolite; and contacting the exhaust gas with the Fe-SCR catalyst; wherein the amount of ammonia or ammonia precursor introduced into the exhaust gas upstream of the Fe-SCR catalyst is controlled to provide an ammonia-to-NOx molar ratio (ANR) in the exhaust gas contacting the Fe-SCR catalyst of from greater than 2 to 6.

Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices. Methods may include: receiving an input chunk of probe data points, where the input chunk includes probe data points spanning an input duration, where the input chunk represents at least a first input portion of a trajectory; generating, based at least in part on the input chunk, an output chunk of one or more probe data points, where the output chunk includes one or more probe data points spanning an output duration, where the output duration is different from the input duration, where the output chunk represents at least an output portion of the trajectory, where the first input portion of the trajectory and the output portion of the trajectory share at least a common portion of the trajectory; and providing the output chunk of one or more probe data points to a location-based service provider.

Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices through the obfuscation of stay points. Methods may include: receiving probe data points of a trajectory in real-time or near real-time from a probe apparatus as it travels along the trajectory; calculating, for each probe data point, a probability of the trajectory reaching a stay point within a predetermined distance; providing sequential sub-sets of probe data points of the trajectory to a location-based service provider in response to the sequential sub-sets of probe data points including probe data points having a probability failing to satisfy a predetermined value; and identifying a last sub-set of probe data points of the sequential sub-sets of probe data points to provide to the location-based service provider in response to identifying a probe data point having a probability of the trajectory reaching a stay point within the predetermined distance satisfying the predetermined value.

Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices through the introduction of gaps between sub-trajectories. Methods may include: receiving a set of probe data points defining a trajectory; identifying a temporal length range of sub-trajectories; receiving a mode, where the mode is established based on a preceding set of probe data points defining a trajectory, where the mode includes an indication of whether to generate a sub-trajectory or a gap from the beginning of the received set of probe data points; and establishing at least one sub-trajectory including a sub-set of the set of probe data points, where the at least one sub-trajectory is established to satisfy the temporal length range of sub-trajectories.

Abstract: Catalyst compositions and methods of preparation comprising: preparing a promoter metal-molecular sieve catalyst composition comprising a promoter metal and a molecular sieve; and incorporating an iron salt into the promoter metal-molecular sieve catalyst composition.

Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices through the obfuscation of stay points. Methods may include: receiving probe data points of a trajectory in real-time or near real-time from a probe apparatus as it travels along the trajectory; calculating, for each probe data point, a probability of the trajectory reaching a stay point within a predetermined distance; providing sequential sub-sets of probe data points of the trajectory to a location-based service provider in response to the sequential sub-sets of probe data points including probe data points having a probability failing to satisfy a predetermined value; and identifying a last sub-set of probe data points of the sequential sub-sets of probe data points to provide to the location-based service provider in response to identifying a probe data point having a probability of the trajectory reaching a stay point within the predetermined distance satisfying the predetermined value.

Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices. Methods may include: receiving an input chunk of probe data points, where the input chunk includes probe data points spanning an input duration, where the input chunk represents at least a first input portion of a trajectory; generating, based at least in part on the input chunk, an output chunk of one or more probe data points, where the output chunk includes one or more probe data points spanning an output duration, where the output duration is different from the input duration, where the output chunk represents at least an output portion of the trajectory, where the first input portion of the trajectory and the output portion of the trajectory share at least a common portion of the trajectory; and providing the output chunk of one or more probe data points to a location-based service provider.

Abstract: An exhaust system for treating an exhaust gas produced by a lean burn engine comprising: (i) a NOx absorber catalyst comprising a molecular sieve catalyst disposed on a substrate, wherein the molecular sieve catalyst comprises a noble metal and a molecular sieve, wherein the molecular sieve contains the noble metal; (ii) means for introducing hydrocarbons into the exhaust gas; and (iii) a lean NOx trap; wherein the NOx absorber catalyst is upstream of both the means for introducing hydrocarbons into the exhaust gas and the lean NOx trap.

Abstract: Apparatuses and methods of operating such apparatuses are disclosed. An apparatus comprises feature dataset input circuitry to receive a feature dataset comprising multiple feature data values indicative of a set of features, wherein each feature data value is represented by a set of bits. Class retrieval circuitry is responsive to reception of the feature dataset from the feature dataset input circuitry to retrieve from class indications storage a class indication for each feature data value received in the feature dataset, wherein class indications are predetermined and stored in the class indications storage for each permutation of the set of bits for each feature. Classification output circuitry is responsive to reception of class indications from the class retrieval circuitry to determine a classification in dependence on the class indications. A predicated class may thus be accurately generated from a simple apparatus.

Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices through the introduction of gaps between sub-trajectories. Methods may include: receiving a set of probe data points defining a trajectory; identifying a temporal length range of sub-trajectories; receiving a mode, where the mode is established based on a preceding set of probe data points defining a trajectory, where the mode includes an indication of whether to generate a sub-trajectory or a gap from the beginning of the received set of probe data points; and establishing at least one sub-trajectory including a sub-set of the set of probe data points, where the at least one sub-trajectory is established to satisfy the temporal length range of sub-trajectories.

Abstract: An approach is disclosed for a data-driven evaluation of heuristics for trajectory cropping. The approach involves, e.g., determining a cropping heuristic, wherein the cropping heuristic comprises an algorithm for cropping a probe trajectory collected from one or more sensors of a mobile device to anonymize the probe trajectory data. The approach also involves processing the probe trajectory using the cropping heuristic to generate a cropped probe trajectory. The approach further involves extracting one or more heuristic-based features of the cropped probe trajectory data. The approach also involves extracting one or more privacy-based features from a privacy preference, wherein the one or more privacy-based features represent a target level of cropping to meet the privacy preference. The approach further involves computing a score based on a distance between the one or more heuristic-based features and the one or more privacy-based features. The approach further involves providing the score as an output.

Abstract: Systems and methods of the present invention related to an exhaust gas purification system comprising: (a) a first injector for injecting ammonia or a compound decomposable to ammonia into the exhaust gas; (b) a diesel particulate filter including an inlet and an outlet, wherein the filter includes a selective catalyst reduction (SCR) catalyst and an oxidation catalyst; (c) a second injector for injecting ammonia or a compound decomposable to ammonia into the exhaust gas, located downstream of the filter; and (d) a downstream catalyst comprising a selective catalytic reduction catalyst, located downstream of the second injector.

Abstract: Systems and methods of the present invention related to an exhaust gas purification system comprising: (a) a first injector for injecting ammonia or a compound decomposable to ammonia into the exhaust gas; (b) a diesel particulate filter including an inlet and an outlet, wherein the filter includes a selective catalyst reduction (SCR) catalyst and an oxidation catalyst; (c) a second injector for injecting ammonia or a compound decomposable to ammonia into the exhaust gas, located downstream of the filter; and (d) a downstream catalyst comprising a selective catalytic reduction catalyst, located downstream of the second injector.