Abstract: In an approach to a passively managed loyalty program using customer images and customer behaviors, one or more processors may receive one or more customer characteristics and one or more customer behaviors. One or more processors may also query for a first user based on the one or more customer characteristics and the one or more customer behaviors. One or more processors may further receive a user profile ID based on the query. One or more processors may additionally store at least one customer characteristic from the one or more customer characteristics and at least one customer behavior from the one or more customer behaviors under the user profile ID.

Abstract: In an approach to determining quality score of images for user identification, one or more processors receive a set of input images for a first user. One or more processors may determine a quality score for each image in the set of input images with respect to an ability of each respective image to identify the first user, wherein the quality score pertains to both: (i) a quality the image, and (ii) a quality of a subject of the image. One or more processors may additionally determine a first set of output images based on the quality score for each image in the set of input images. One or more processors may further identify the first user based on the first set of output images.

Abstract: In an approach to establishing personal identity using user identity patterns, one or more processors receive a set of input images corresponding to a period of time, where each input image in the set of input images corresponds to a specific time within the period of time. One or more processors may also identify a first user in the set of input images and determining, a user identity pattern based on the set of input images, where the user identity pattern includes multiple instances of at least one physical characteristic of the first user over the period of time. One or more processors may further determine a user behavior based on the user identity pattern. One or more processors may additionally associate the set of input images and the user identity pattern with a first user profile for the first user.

Abstract: In an approach to identifying users by real time contextual data, one or more processors may receive a registration information for a first user and a first biometric data for the first user. One or more processors may determine a first user behavior based on the first biometric data and the registration information for the first user. Additionally, one or more processors may store the registration information, the first biometric data, and the first user behavior in a first user profile for identification of the first user.

Abstract: In an approach to establishing personal identity using multiple sub-optimal images, a method includes receiving a set of sub-optimal input images, identifying a first and a second user feature in the set of sub-optimal input images, and determining a confidence score of the user features by comparison to user profile images. The method additionally includes determining a combined confidence score of the first user feature and the second user feature and determining whether features match a user by: (i) determining whether the combined confidence score is higher than a pre-determined threshold for the combined confidence score, (ii) determining whether the confidence score of the first user feature is higher than a pre-determined threshold for the user features, and (iii) determining whether the confidence score of the second user feature is higher than the pre-determined threshold for the user features.

Abstract: In an approach to establishing personal identity using multiple sub-optimal images, a method includes receiving a set of sub-optimal input images, identifying a first and a second user feature in the set of sub-optimal input images, and determining a confidence score of the user features by comparison to user profile images. The method additionally includes determining a combined confidence score of the first user feature and the second user feature and determining whether features match a user by: (i) determining whether the combined confidence score is higher than a pre-determined threshold for the combined confidence score, (ii) determining whether the confidence score of the first user feature is higher than a pre-determined threshold for the user features, and (iii) determining whether the confidence score of the second user feature is higher than the pre-determined threshold for the user features.

Abstract: In an approach to determining quality score of images for user identification, one or more processors receive a set of input images for a first user. One or more processors may determine a quality score for each image in the set of input images with respect to an ability of each respective image to identify the first user, wherein the quality score pertains to both: (i) a quality the image, and (ii) a quality of a subject of the image. One or more processors may additionally determine a first set of output images based on the quality score for each image in the set of input images. One or more processors may further identify the first user based on the first set of output images.

Abstract: In an approach to establishing personal identity using user identity patterns, one or more processors receive a set of input images corresponding to a period of time, where each input image in the set of input images corresponds to a specific time within the period of time. One or more processors may also identify a first user in the set of input images and determining, a user identity pattern based on the set of input images, where the user identity pattern includes multiple instances of at least one physical characteristic of the first user over the period of time. One or more processors may further determine a user behavior based on the user identity pattern. One or more processors may additionally associate the set of input images and the user identity pattern with a first user profile for the first user.

Abstract: In an approach to a passively managed loyalty program using customer images and customer behaviors, one or more processors may receive one or more customer characteristics and one or more customer behaviors. One or more processors may also query for a first user based on the one or more customer characteristics and the one or more customer behaviors. One or more processors may further receive a user profile ID based on the query. One or more processors may additionally store at least one customer characteristic from the one or more customer characteristics and at least one customer behavior from the one or more customer behaviors under the user profile ID.

Abstract: In an approach to identifying users by real time contextual data, one or more processors may receive a registration information for a first user and a first biometric data for the first user. One or more processors may determine a first user behavior based on the first biometric data and the registration information for the first user. Additionally, one or more processors may store the registration information, the first biometric data, and the first user behavior in a first user profile for identification of the first user.

Abstract: A medical charge router receives charge information from a variety of sources and converts it to a standard charge format for automated processing and routing to one of multiple billing programs.

Abstract: A mechanism is provided for sharing form data by users of a social network. A first value input for a first label by a first user is received. The first label is associated with a tag in a mapping table. The first value is associated with the tag in a first user table. The first value is recognized as input for a different label than the first label. The different label is associated with the tag in mapping table. A second value is received that is input for a second label by a second user. The second label is associated with the tag in the mapping table. The second value is associated with the tag in a second user table. The second value is recognized as input for a different label than the second label. The different label than the second label is associated with the tag in mapping table.

Abstract: A medical charge router receives charge information from a variety of sources and converts it to a standard charge format for automated processing and routing to one of multiple billing programs.

Abstract: A medical charge router receives charge information from a variety of sources and converts it to a standard charge format for automated processing and routing to one of multiple billing programs.

Abstract: A mechanism is provided for sharing form data by users of a social network. A first value input for a first label by a first user is received. The first label is associated with a tag in a mapping table. The first value is associated with the tag in a first user table. The first value is recognized as input for a different label than the first label. The different label is associated with the tag in mapping table. A second value is received that is input for a second label by a second user. The second label is associated with the tag in the mapping table. The second value is associated with the tag in a second user table. The second value is recognized as input for a different label than the second label. The different label than the second label is associated with the tag in mapping table.

Abstract: An AV switching method capable of auto-configuring a plurality of AV input signals and associated apparatus is provided. An audio-video detector capable of auto-configuring the AV input signals includes an audio-video detecting module, an impedance adjustment module, and an audio-video switching module. The audio-video detecting module receives and detects the AV input signals to generate an AV detecting result. The impedance adjustment module adjusts matching impedance for the AV input signals according to the AV detecting result. The audio-video switching module switches the AV input signals to output AV output signals according to the AV detecting result.

Abstract: An RFID tag is integrated with a processor of an electronic product for anti-theft purpose. The RFID tag receives an enable mark when the electronic product is checked out at a point of sale. Only when the processor receives the enable mark from the RFID tag can the start-up sequence of the electronic product be executed. An RFID tag is integrated with a sensor of an electronic product for data transmission purpose. Data measured by the sensor can be stored in the memory of the RFID tag and outputted via the antenna of the RFID tag.

Abstract: An analog circuit architecture is fabricated with dual gate oxides and dual voltage supplies. In the analog circuit architecture, different kinds of devices/transistors with different gate oxide thicknesses are biased by different voltages, such that advantages of each device technology are mixed to enhance total performance of the analog circuit. For example, thin oxide 0.18 um transistors are biased at 1.8V for higher speed and lower power consumption, whereas thick oxide 0.35 um transistors are biased at 3.3V for a wider signal swing range.

Abstract: The present invention provides a passive RFID chip with on-chip charge pumps for generating electrical power for the chip from radio frequencies. The passive RFID chip comprises an analog portion and a digital portion. The analog portion primarily comprises a voltage sensor and an AM data detector. The digital portion comprises a state machine digital logic controller. Incoming RF signals enter the chip via external antennas. The RF signals are converted into regulated DC signals by RF-DC converters with the voltage sensor. The RF-DC converters provide power for all the on-chip components and hence the chip does not require external power supply. The incoming RF signals are demodulated by demodulators and enter the AM data detector where the envelope transitions are detected. A voltage alarm is provided to ensure the voltage level does not drop below an operational level of the chip.

Abstract: An analog circuit architecture is fabricated with dual gate oxides and dual voltage supplies. In the analog circuit architecture, different kinds of devices/transistors with different gate oxide thicknesses are biased by different voltages, such that advantages of each device technology are mixed to enhance total performance of the analog circuit. For example, thin oxide 0.18 um transistors are biased at 1.8V for higher speed and lower power consumption, whereas thick oxide 0.35 um transistors are biased at 3.3V for a wider signal swing range.