Abstract: The self-powered device is configured to be powered by energy collected from a surrounding environment. The self-powered device includes an energy collector, and a memory having instructions for selecting one of a plurality of modes of operation. The energy collector is configured to collect energy to power the self-powered device from a surrounding environment in which the self-powered device is located. The plurality of modes of operation include: (i) a low-power mode of operation in which the self-powered device consumes less than a pre-determined or adaptively-determined amount of power and the self-powered device uses less than its full capabilities, and (ii) and a high-power mode of operation in which self-powered device consumes more than the pre-determined or adaptively-determined amount of power and the self-powered device uses its full capabilities.

Abstract: Observation-based user profiling and profile matching are provided. The network behavior of users of a computer-implemented social network are observed and used for user profiling. By observing network behavior instead of necessarily relying on user self-reported data, accurate and objective user profiles can be formed; user profiling is accomplished based on the observed network behaviors with or without the knowledge of the user being profiled. The observed network behaviors can include the customization of a visual graphic, a media preference, a communication preference, or a selection of words from a word list. The user profiles can be with respect to a domain and two or more users can be matched based on their profiles with respect to the same domain. User ratings and profile updating based on the ratings are also provided.

Abstract: An apparatus comprising a power source, one or more sensors, a transceiver, and a memory. The power source may be configured to store energy to power the apparatus. The one or more sensors may be configured to receive captured data from one of a plurality of sources. The transceiver may be configured to send and receive data to and from a wireless network. The processor may be configured to execute computer readable instructions. The memory may be configured to store a set of instructions executable by the processor. The instructions may be configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store the captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode. The first mode or the second mode is selected based on characteristics of the captured data received from the sensors.

Abstract: A system has a test apparatus comprising a test medium having a machine-readable identifier, the medium enabled to accept an analyte for a specific test, a smart telephone or a pad device having imaging apparatus, a digital memory, input apparatus providing recording of contextual information associated with a specific test, and first coded instructions providing integration of images and contextual information associated with a specific test into a specific data structure, a network-connected server having a processor and coupled to at least one server-side data repository, and second coded instructions executing on the processor of the server from a non-transitory medium. A user applies the analyte, allows the test to proceed to conclusion, and initiates at least one image capture by the imaging apparatus.

Abstract: A system includes an apparatus having a test medium with a machine-readable identifier, the medium enabled to accept an analyte for a test, a network-connected communication device having imaging capability, enabled to record contextual information, and executing coded instructions, a server having coupled to at least one data repository, and coded instructions executing on a processor. A user applies the analyte to the test medium, allows time to complete, and initiates an image capture, wherein a data structure, including at least a resulting image, images or video stream, including one or more images of the test result, one or more images of the machine-readable identifier, contextual information captured at the time of the test and identify of the test subject providing the analyte, is transmitted on the network to the network-connected server, where the data structure is recorded.

Abstract: A system comprising a plurality of self-powered devices and at least one remote device. The plurality of self-powered devices may be configured to (i) perform one or more tasks and (ii) select one of a plurality of modes of operation. The remote device may be configured to (a) determine scheduling data for one or more activities based on a resource capacity of the self-powered devices and (b) communicate with the self-powered devices. The activities may comprise one or more of the tasks. The self-powered devices may determine a computational cost of performing the tasks.

Abstract: A device comprising a battery, a memory, a data acquisition circuit and a processor. The sensors may sample a current state of a dynamic process. The data acquisition circuit may have a first clock rate based on a sampling rate of the dynamic process. The data acquisition circuit may read sensor information from the sensors. The processor may have a second clock rate. The processor may process the sensor information and generate a monitoring signal based on at least one of the sensor information, a model of the dynamic process and a desired state of the dynamic process. The processor may schedule procedures for the device and determine computation times for the procedures based on context information. The second clock rate is faster than the first clock rate. The procedures are scheduled based on the sampling rate, the computation times for the procedures and opportunities to enter a standby mode to conserve power.

Abstract: Bookmarking content modules and tracking scores of user properties against the bookmarked content modules on a computer implemented social network are provided. Content modules containing text, audio, video, or audio-video content are accessible to users of a social network. User properties are associated with the users of the social network and the user properties are related to the content modules. Each user of the social network can bookmark a content module and score a user property against the bookmarked content module related with the same user property. Scores are tracked over a period of time to provide motivation and accountability to the user. Ad hoc online communities form around the bookmarked content modules; members of an online community all share at least one common bookmarked content module. A messaging function is provided for members of an online community to communicate with each other to foster support and accountability.

Abstract: A device comprising a processor, an energy source, one or more sensors, a wireless transceiver and a memory. The memory may comprise instructions for selecting one of a plurality of modes of operation. The modes of operation may comprise (i) a low-power mode in which the device consumes less than a pre-determined or an adaptively-determined amount of power and the device has less than full functionality and (ii) a high-power mode in which the device consumes more than the pre-determined or the adaptively-determined amount of power and the device has more functionality than in the low-power mode. The instructions for selecting one of the modes of operation may comprise (i) instructions for conserving power by transitioning from the high-power mode to the low-power mode and (ii) instructions for activating the wireless transceiver to transmit a message with information from the sensors to a remote device.

Abstract: A system comprising a plurality of self-powered devices and a plurality of proximity self-powered devices. The plurality of self-powered devices may be configured to (i) perform instructions, (ii) store scheduling data and (iii) select one of a plurality of modes of operation. The proximity self-powered devices may be configured to (i) detect a presence and (ii) select one of a plurality of modes of operation. The plurality of self-powered devices may select one of the plurality of modes of operation based on (i) the stored scheduling data and (ii) the presence detected by at least one of the plurality of proximity self-powered devices.

Abstract: A computer implemented system and method includes a recommendation engine that provides accurate recommendations based on an accurate analysis of the tastes and preferences of a user. The recommendation engine takes into consideration the information corresponding to the tastes and preferences of the users using information gathered from social networking profiles of the user as well as the reviews previously provided by the user. The recommendation engine collaborates this information with the review related information obtained from the reviewers in order to ascertain the recommendations that would match the preferences and tastes of the user.

Abstract: The present invention concerns methods and apparatus for detecting perturbations to previously established and known contextualizations practiced or exhibited by subjects when confronted by certain propositions about original items. The subjects are understood to be any sentient beings, e.g., human beings that use the known contextualizations modulo the propositions and also exhibit known measurable indications in response to these propositions. Measurable indications can take on the form of responses, actions, behaviors or any measurable aspects that can be collected from the subjects in response to the propositions. The perturbation to the contextualization that is adopted by the subjects is due to altering the original item to generate an altered item and placing the altered item at the center of the proposition that was previously apprehended by the subjects to be about the original item.

Abstract: A device comprising a processor, an energy source, one or more sensors, a wireless transceiver and a memory. The memory may comprise instructions for selecting one of a plurality of modes of operation. The modes of operation may comprise (i) a low-power mode in which the device consumes less than a pre-determined or an adaptively-determined amount of power and the device has less than full functionality and (ii) a high-power mode in which the device consumes more than the pre-determined or the adaptively-determined amount of power and the device has more functionality than in the low-power mode. The instructions for selecting one of the modes of operation may comprise (i) instructions for conserving power by transitioning from the high-power mode to the low-power mode and (ii) instructions for activating the wireless transceiver to transmit a message with information from the sensors to a remote device.

Abstract: An apparatus comprising a power source, one or more sensors, a transceiver, and a memory. The power source may be configured to store energy to power the apparatus. The one or more sensors may be configured to receive captured data from one of a plurality of sources. The transceiver may be configured to send and receive data to and from a wireless network. The processor may be configured to execute computer readable instructions. The memory may be configured to store a set of instructions executable by the processor. The instructions may be configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store the captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode. The first mode or the second mode is selected based on characteristics of the captured data received from the sensors.

Abstract: Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.

Abstract: Automatically classifying multimedia content that is specific to a video production includes obtaining, from a video sensor embedded in a video capturing device that captures a video, a time series of location data, direction data, orientation data, and a position of the first user and the second user, identifying for any given duration in the video, corresponding first user data, corresponding second user data, and corresponding video sensor data, annotating the video with the corresponding first user data, the corresponding second user data, and the corresponding video sensor data to obtain an annotated multimedia content, performing a comparison of a data pattern of the annotated multimedia content with data patterns of a script stored in a database to obtain a recommended section for the annotated multimedia content, and automatically classifying the annotated multimedia content by associating the annotated multimedia content with the recommended section.

Abstract: Automatically classifying multimedia content that is specific to a video production includes obtaining, from a video sensor embedded in a video capturing device that captures a video, a time series of location data, direction data, orientation data, and a position of the first user and the second user, identifying for any given duration in the video, corresponding first user data, corresponding second user data, and corresponding video sensor data, annotating the video with the corresponding first user data, the corresponding second user data, and the corresponding video sensor data to obtain an annotated multimedia content, performing a comparison of a data pattern of the annotated multimedia content with data patterns of a script stored in a database to obtain a recommended section for the annotated multimedia content, and automatically classifying the annotated multimedia content by associating the annotated multimedia content with the recommended section.

Abstract: A device has a processor, a memory system coupled to the processor, an on-board, rechargeable power supply, one or more data-capture mechanisms, circuitry enabling wireless data transmission on a network, rules and criteria stored in the memory system regarding characteristics of data, and coded instructions executing on the processor from a non-transitory physical medium, providing a process wherein data captured by the one or more data-capture mechanisms is examined applying the rules and criteria regarding characteristics of data, and data is transmitted via the network by specific processes selected depending on the characteristics, the specific data transmission processes enabled to minimize power consumption in transmission.

Abstract: A system includes an apparatus having a test medium with a machine-readable identifier, the medium enabled to accept an analyte for a test, a network-connected communication device having imaging capability, enabled to record contextual information, and executing coded instructions, a server having coupled to at least one data repository, and coded instructions executing on a processor. A user applies the analyte to the test medium, allows time to complete, and initiates an image capture, wherein a data structure, including at least a resulting image, images or video stream, including one or more images of the test result, one or more images of the machine-readable identifier, contextual information captured at the time of the test and identify of the test subject providing the analyte, is transmitted on the network to the network-connected server, where the data structure is recorded.

Abstract: Observation-based user profiling and profile matching are provided. The network behavior of users of a computer-implemented social network are observed and used for user profiling. By observing network behavior instead of necessarily relying on user self-reported data, accurate and objective user profiles can be formed; user profiling is accomplished based on the observed network behaviors with or without the knowledge of the user being profiled. The observed network behaviors can include the customization of a visual graphic, a media preference, a communication preference, or a selection of words from a wordlist. The user profiles can be with respect to a domain and two or more users can be matched based on their profiles with respect to the same domain. User ratings and profile updating based on the ratings are also provided.