Abstract: Embodiments relate to a sensor system configured to detect physical rotation, entire or relative, of one or more objects and/or their environment and/or proximity of a magnetic field, by measuring the degree of localization of a medium trapped in a ring-shaped artificial lattice. The lattice structure can be configured to comprise of lattice sites distributed with a lattice period around an azimuth of a closed ring. The site depths of the plurality of lattice sites can be configured to be modulated with a modulation period different from the lattice period to affect the onsite energies of each lattice site and the eigenstates of the system. Physical rotation of the sensor and/or the proximity of magnetic field will alter the localization properties so as to cause the degree of localization of the medium to change (e.g., the medium becomes more confined in space or more spread out in space).

Abstract: Embodiments relate to a sensor system configured to detect physical rotation, entire or relative, of one or more objects and/or their environment and/or proximity of a magnetic field, by measuring the degree of localization of a medium trapped in a ring-shaped artificial lattice. The lattice structure can be configured to comprise of lattice sites distributed with a lattice period around an azimuth of a closed ring. The site depths of the plurality of lattice sites can be configured to be modulated with a modulation period different from the lattice period to affect the onsite energies of each lattice site and the eigenstates of the system. Physical rotation of the sensor and/or the proximity of magnetic field will alter the localization properties so as to cause the degree of localization of the medium to change (e.g., the medium becomes more confined in space or more spread out in space).

Abstract: Embodiments relate to a sensor system configured to detect physical rotation, entire or relative, of one or more objects and/or their environment and/or proximity of a magnetic field, by measuring the degree of localization of a medium trapped in a ring-shaped artificial lattice. The lattice structure can be configured to comprise of lattice sites distributed with a lattice period around an azimuth of a closed ring. The site depths of the plurality of lattice sites can be configured to be modulated with a modulation period different from the lattice period to affect the onsite energies of each lattice site and the eigenstates of the system. Physical rotation of the sensor and/or the proximity of magnetic field will alter the localization properties so as to cause the degree of localization of the medium to change (e.g., the medium becomes more confined in space or more spread out in space).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing database system processes seismic wave data using database queries. The seismic wave data is obtained from sensors of a reflection seismology survey. The seismic wave data is distributed among nodes of the parallel processing database system. Computations of processing the seismic wave data are performed using relational database queries that execute on the nodes in parallel. These computations performed by the queries include generating a starting Earth model of an area surveyed, and performing iterations of solving a forward problem of generating seismic wave patterns from the starting Earth model, performing local optimization that modifies the starting Earth model, and providing the modified Earth model as input to the forward problem in a next iteration.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting traffic patterns. One of the methods includes receiving a velocity distribution for a road segment, wherein the velocity distribution includes, for each velocity interval, a count of how many velocity observations have a velocity measurement within the velocity interval, wherein each velocity observation has one or more features describing conditions under which the velocity observation was made. A mixture model having K component distributions is generated for the velocity distribution. A decision tree is generated from the K component distributions and a rule is generated from a particular leaf of the decision tree, wherein the rule maps one or more features for the road segment to one of the K component distributions according to a path from the root of the decision tree to the particular leaf.

Abstract: Systems and methods coarsely classify unknown documents in a group or not with reference document(s). Documents get scanned into digital images. Counts of contours are taken. The closer the counts of the contours of the unknown document reside to the reference document(s), the more likely the documents are all of a same type. Embodiments typify contour analysis, classification acceptance or not, application of algorithms, and imaging devices with scanners, to name a few.

Abstract: Systems and methods coarsely classify unknown documents in a group or not with reference document(s). Documents get scanned into digital images. Counts of contours are taken. The closer the counts of the contours of the unknown document reside to the reference document(s), the more likely the documents are all of a same type. Embodiments typify contour analysis, classification acceptance or not, application of algorithms, and imaging devices with scanners, to name a few.

Abstract: Systems and methods coarsely classify unknown documents in a group or not with reference document(s). Documents get scanned into digital images. Counts of contours are taken. The closer the counts of the contours of the unknown document reside to the reference document(s), the more likely the documents are all of a same type. Embodiments typify contour analysis, classification acceptance or not, application of algorithms, and imaging devices with scanners, to name a few.

Abstract: Document classification includes a range map and corresponding search tree. The map defines a collection of one or more ranges of possible values. The search tree divides the map into searchable entities. The ranges correspond to image characteristics found in one or more documents. An unknown document fits or not within one of the ranges of values and becomes classified. Embodiments typify range types, addition or removal of ranges, applications of algorithms, searching within a tree, and imaging device execution, to name a few.

Abstract: Systems and methods coarsely classify unknown documents in a group or not with reference document(s). Documents get scanned into digital images. Counts of contours are taken. The closer the counts of the contours of the unknown document reside to the reference document(s), the more likely the documents are all of a same type. Embodiments typify contour analysis, classification acceptance or not, application of algorithms, and imaging devices with scanners, to name a few.

Abstract: Systems and methods coarsely classify unknown documents in a group or not with reference document(s). Documents get scanned into digital images. Counts of contours are taken. The closer the counts of the contours of the unknown document reside to the reference document(s), the more likely the documents are all of a same type. Embodiments typify contour analysis, classification acceptance or not, application of algorithms, and imaging devices with scanners, to name a few.