Abstract: A method is provided. The method includes determining a first bump map indicative of a first set of positions of bumps. The method includes determining, based upon the first bump map, a first plurality of bump densities associated with a plurality of regions of the first bump map. The method includes smoothing the first plurality of bump densities to determine a second plurality of bump densities associated with the plurality of regions of the first bump map. The method includes determining, based upon the second plurality of bump densities, a second bump map indicative of the first set of positions of the bumps and a set of sizes of the bumps.

Abstract: The present disclosure provides a thin film including a first thermoplastic polyolefin (TPO) elastomer which is anhydride-grafted. The present disclosure further provides a method for manufacturing the thin film, a laminated material and a method for adhesion.

Abstract: The disclosure involves multi-source data assimilation. According to an embodiment, first data associated with an indication of environmental quality in a first region is obtained, and second data associated with an indication of environmental quality in a second region is obtained. The first data is of a higher quality than the second data according to a predetermined criterion. The second data is calibrated according to a relationship between the first and second data in an overlap of the first and second regions. Third data associated with an indication of environmental quality in a third region is determined based on the first data and the calibrated second data, wherein the third region comprises at least the first and second regions.

Abstract: A system, a computer readable storage medium, and a method for data quality control using a correlated sensor group includes selecting a sensor group, by at least one processor, according to a uniformity and a correlation with air pollution concentration data from a reference station, selecting a time series based on the correlation, generating a particle concentration model between the sensor group and the reference station, calculating a deviation in the particle concentration data from the particle concentration model, and recognizing outliers from the deviation as unacceptable data.

Abstract: A system, a computer readable storage medium, and a method for data quality control using a correlated sensor group includes selecting a sensor group, by at least one processor, according to a uniformity and a correlation with air pollution concentration data from a reference station, selecting a time series based on the correlation, generating a particle concentration model between the sensor group and the reference station, calculating a deviation in the particle concentration data from the particle concentration model, and recognizing outliers from the deviation as unacceptable data.

Abstract: A particle concentration is determined by acquiring a particle concentration measurement at a reference station from each of a plurality of sensors to be evaluated. A reference particulate concentration measurement is acquired from a reference station sensor at the reference station. A base set of sensors is selected from the plurality of sensors based upon a correlation calculation. A reference sensor is selected from the base set of sensors. A model is constructed that specifies a relationship between the reference sensor and the reference station sensor. A generalized sensor type is formulated using one or more characteristics of the reference sensor. The generalized sensor type is used to construct an inheritance network model. A particle concentration for the generalized sensor type is determined based upon the inheritance network model.

Abstract: The disclosure involves multi-source data assimilation. According to an embodiment, first data associated with an indication of environmental quality in a first region is obtained, and second data associated with an indication of environmental quality in a second region is obtained. The first data is of a higher quality than the second data according to a predetermined criterion. The second data is calibrated according to a relationship between the first and second data in an overlap of the first and second regions. Third data associated with an indication of environmental quality in a third region is determined based on the first data and the calibrated second data, wherein the third region comprises at least the first and second regions.

Abstract: A system, method and computer program product for scalable metadata acceleration with datapath metadata backup as disclosed includes providing a plurality of metadata comprising variable block pointers for the physical location of system data. The method also includes storing at least a first and a second metadata in two or more solid state memories accelerated with respect to a read and a write of a memory in a datapath, each solid state memory configured as a logical copy of the other. The method additionally includes interleaving a backup metadata in a datapath memory at a variable interval based on a table of block pointers. The method further includes querying the accelerated metadata for an accelerated datapath operation of the system and querying the interleaved metadata and/or a logical mirror of the accelerated metadata for a rebuild operation of the accelerated metadata, each query determinable by the table of block pointers.