Abstract: A display system for sensing a finger of a user applied to the display system includes a display panel; a sensor for sensing the finger; a sensing light source configured to emit a first light having a first wavelength W1; and a reflective polarizer disposed between the display panel and the sensor. For a substantially normally incident light, an optical transmittance of the reflective polarizer versus wavelength for a first polarization state has a band edge such that for a first wavelength range extending from a smaller wavelength L1 to a greater wavelength L2 and including W1, where 30 nm?L2?L1?50 nm and L1 is greater than and within about 20 nm of a wavelength L3 corresponding to an optical transmittance of about 50% along the band edge, the optical transmittance has an average of greater than about 75%.

Abstract: Described herein are methods and systems for enhancing security of transaction requests from POS terminals by utilizing ANI-DNIS information. The header of the transaction request can include automatic source information (“ASI”), which can be extracted from the header by the line handler. The ASI information can be provided to the front end interface, which can compare the ASI information with known customer information. The comparison can provide information indicating whether the transaction is legitimate or fraudulent. If fraudulent, the transaction request can be declined. The ASI information can further be stored in a security analysis database and further queried to identify larger threats including denial of service attacks.

Abstract: Described herein are methods and systems for enhancing security of transaction requests from POS terminals by utilizing ANI-DNIS information. The header of the transaction request can include automatic source information (“ASI”), which can be extracted from the header by the line handler. The ASI information can be provided to the front end interface, which can compare the ASI information with known customer information. The comparison can provide information indicating whether the transaction is legitimate or fraudulent. If fraudulent, the transaction request can be declined. The ASI information can further be stored in a security analysis database and further queried to identify larger threats including denial of service attacks.

Abstract: Described herein are methods and systems for enhancing security of transaction requests from POS terminals by utilizing ANI-DNIS information. The header of the transaction request can include automatic source information (“ASI”), which can be extracted from the header by the line handler. The ASI information can be provided to the front end interface, which can compare the ASI information with known customer information. The comparison can provide information indicating whether the transaction is legitimate or fraudulent. If fraudulent, the transaction request can be declined. The ASI information can further be stored in a security analysis database and further queried to identify larger threats including denial of service attacks.

Abstract: Evidence decay in PGMs is achieved using virtual evidence nodes that create and send lambda messages that when combined with the other evidence force specified beliefs onto the decaying evidence nodes. The virtual evidence nodes compute a step along a path from the decaying node's current belief to a target belief to determine the specified belief. Belief propagation is executed to process the pi and lambda messages to update the current beliefs for all nodes. Observation evidence is removed from the model. For each decaying node, belief propagation is executed absent the evidence of that node to generate an updated target belief. Following an observation, the node's belief will decay in a smooth, continuous manner.

Abstract: Described herein are methods and systems for enhancing security of transaction requests from POS terminals by utilizing ANI-DNIS information. The header of the transaction request can include automatic source information (“ASP”), which can be extracted from the header by the line handler. The ASI information can be provided to the front end interface, which can compare the ASI information with known customer information. The comparison can provide information indicating whether the transaction is legitimate or fraudulent. If fraudulent, the transaction request can be declined. The ASI information can further be stored in a security analysis database and further queried to identify larger threats including denial of service attacks.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for matching track fragments. According to an example, a technique can include receiving data indicating a first and second actual ToA of first and second SIGINT signals at a collector, estimating first and second sets of estimated ToAs of the first and second SIGINT signals at a collector, respectively, each of the first and second sets of estimated ToAs based on a different track fragment of a first plurality of track fragments active at the first time and a different track fragment of a second plurality of track fragments active at the second time, respectively, or matching a track fragment of the first plurality of track fragments with a track fragment of the second plurality of track fragments based on the first and second sets of estimated ToAs and the first and second actual ToAs.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for matching track fragments. According to an example, a technique can include receiving data indicating a first and second actual ToA of first and second SIGINT signals at a collector, estimating first and second sets of estimated ToAs of the first and second SIGINT signals at a collector, respectively, each of the first and second sets of estimated ToAs based on a different track fragment of a first plurality of track fragments active at the first time and a different track fragment of a second plurality of track fragments active at the second time, respectively, or matching a track fragment of the first plurality of track fragments with a track fragment of the second plurality of track fragments based on the first and second sets of estimated ToAs and the first and second actual ToAs.

Abstract: Systems and methods for routing debit transactions. In one embodiment, a method for routing debit transactions can be provided. The method can include obtaining, by a routing determination system comprising one or more computers, information associated with a proposed debit transaction. The method can also include identifying, by the routing determination system based at least in part upon the obtained information, one or more merchant parameters associated with a merchant on whose behalf the proposed debit transaction will be submitted to a transaction processor. Further, the method can include determining, by the routing determination system based at least in part upon the one or more merchant parameters, a debit transaction network for routing the proposed debit transaction to the transaction processor, wherein the debit transaction network is included in a plurality of available debit transaction networks.

Abstract: Generally discussed herein are systems, apparatuses, and methods for organizing and/or searching news events. In one or more embodiments, a method can include encoding a news event based on named entities, actors, and actions mentioned in the news event, calculating a locality sensitive hash (LSH) key on the news event encoding, comparing the calculated LSH key to a plurality of LSH keys of respective stories, wherein each story of the respective stories comprises one or more associated news events that include LSH keys that are within a specified distance from each other, and associating the news event with a story of the respective stories that includes an LSH key that has a smallest distance from the LSH key of the received news event and is less than the specified distance.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

Abstract: Generally discussed herein are systems, apparatuses, and methods for organizing and/or searching news events. In one or more embodiments, a method can include encoding a news event based on named entities, actors, and actions mentioned in the news event, calculating a locality sensitive hash (LSH) key on the news event encoding, comparing the calculated LSH key to a plurality of LSH keys of respective stories, wherein each story of the respective stories comprises one or more associated news events that include LSH keys that are within a specified distance from each other, and associating the news event with a story of the respective stories that includes an LSH key that has a smallest distance from the LSH key of the received news event and is less than the specified distance.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGINT signal with an object or tracklet. According to an example, a technique can include (1) estimating a first set of times, each time of the first set of times can indicate how much time it would take for a respective SIGINT signal of a set of SIGINT signals to travel from a point on a tracklet extracted from video data to a respective collector, (2) estimating a second set of times corresponding to times at which the video data corresponding to the point on the tracklet was gathered, or (3) associating the set of SIGINT signals with a tracklet of the plurality of tracklets based on the first set of times, the second set of times, and a set of ToAs of SIGINT signals at the plurality of collectors.

Abstract: When using intrusion detection systems, security specialists are concerned with false positive rates and true positive rates. False positives are when an alert is raised, but no actual intrusion occurs. True positives are when an alert is raised for an actual intrusion. Ideally, true positive rate is 1 and false positive rate is zero, but such a situation is impossible in the real world. So one must balance a true positive rate and a false positive rate to produce the best result at the best price. One can simplify the choice of detection sets by, instead of determining each possible operating point of the information detection system, by only choosing operating points that are not dominated by other operating points.

Abstract: Methods and apparatus to identify a type of acoustic event Mel Frequency Cepstral Coefficients (MFCCs). In one embodiment, received sound is processed using the MFCCs to locate a peak for comparison with a stored event to determine if the peak corresponds to the acoustic event.

Abstract: When using intrusion detection systems, security specialists are concerned with false positive rates and true positive rates. False positives are when an alert is raised, but no actual intrusion occurs. True positives are when an alert is raised for an actual intrusion. Ideally, true positive rate is 1 and false positive rate is zero, but such a situation is impossible in the real world. So one must balance a true positive rate and a false positive rate to produce the best result at the best price. One can simplify the choice of detection sets by, instead of determining each possible operating point of the information detection system, by only choosing operating points that are not dominated by other operating points.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGINT signal with an object or tracklet. According to an example, a technique can include (1) estimating a first set of times, each time of the first set of times can indicate how much time it would take for a respective SIGINT signal of a set of SIGINT signals to travel from a point on a tracklet extracted from video data to a respective collector, (2) estimating a second set of times corresponding to times at which the video data corresponding to the point on the tracklet was gathered, or (3) associating the set of SIGINT signals with a tracklet of the plurality of tracklets based on the first set of times, the second set of times, and a set of ToAs of SIGINT signals at the plurality of collectors.