Patents
Literature
Eureka-AI is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Eureka AI

1008 results about "Time frame" patented technology

Intelligent reminders for wireless PDA devices

A wireless PDA device with proximity detection includes a trigger for implementing a reminder alert to a user of a wireless PDA device based on the proximity of another wireless PDA device. The proximity detection may be accomplished by actual knowledge of proximity (e.g., using appropriate GPS detection and reporting to a centralized location), or more preferably inferred using the short range capability of wireless networks such as a piconet network by comparing the members of a current piconet network (presumed to be within the range of the relevant wireless PDA device). In a disclosed embodiment, an intelligent reminder table is implemented for use by an appropriate reminder application running on a wireless PDA device. The reminder table includes a proximity alert election on an entry-by-entry basis, and automatic reminder canceling based on proximity detection of another wireless PDA device relevant to the reminder. Example proximity alerts include reminding the user to wish a person happy birthday the next time they see them (i.e., the next time that the other person is proximate to the relevant PDA user). The intelligent reminder table also provides for the automatic cancellation of a reminder when the reminder relates to a meeting with the other PDA user detected as being proximate to the relevant PDA user within a given time frame of a reminder date/time.
Owner:LUCENT TECH INC

Adaptive method and apparatus for forecasting and controlling neurological disturbances under a multi-level control

InactiveUS7146218B2Avoid injuryPrevent and avoid seizureElectroencephalographyElectrotherapyFeature setPupil
A method and apparatus for forecasting and controlling neurological abnormalities in humans such as seizures or other brain disturbances. The system is based on a multi-level control strategy. Using as inputs one or more types of physiological measures such as brain electrical, chemical or magnetic activity, heart rate, pupil dilation, eye movement, temperature, chemical concentration of certain substances, a feature set is selected off-line from a pre-programmed feature library contained in a high level controller within a supervisory control architecture. This high level controller stores the feature library within a notebook or external PC. The supervisory control also contains a knowledge base that is continuously updated at discrete steps with the feedback information coming from an implantable device where the selected feature set (feature vector) is implemented. This high level controller also establishes the initial system settings (off-line) and subsequent settings (on-line) or tunings through an outer control loop by an intelligent procedure that incorporates knowledge as it arises. The subsequent adaptive settings for the system are determined in conjunction with a low-level controller that resides within the implantable device. The device has the capabilities of forecasting brain disturbances, controlling the disturbances, or both. Forecasting is achieved by indicating the probability of an oncoming seizure within one or more time frames, which is accomplished through an inner-loop control law and a feedback necessary to prevent or control the neurological event by either electrical, chemical, cognitive, sensory, and/or magnetic stimulation.
Owner:THE TRUSTEES OF THE UNIV OF PENNSYLVANIA

Dynamic resource allocation and media access control for a wireless ATM network

A resource allocation method for use in a wireless ATM network comprises receiving on a wireless signaling channel a request for access to a shared frequency-time sliced wireless medium. A channel matrix is then searched for a set of available frequency-time slots. The channel matrix represents a time frame within the shared frequency-time sliced wireless medium, and is used to keep track of resource allocation in the time-frequency sliced medium. The set of available time-slots is then allocated if the allocation does not violate a frequency switching constraint, and if the set of available frequency-time slots contains a number of slots no smaller than a requested number of slots. In a preferred embodiment of the invention, the searching step uses a greedy resource allocation strategy to search a channel-chunk matrix comprising a list of contiguous chunks of available time slots in each frequency of the shared frequency-time sliced wireless medium. The greedy resource allocation strategy comprises the following successive allocation steps: searching for a single contiguous set of available time slots in a single frequency, where the size of the set of available slots is equal to the requested size [60]; searching for a single contiguous set of available time slots in a single frequency, where the size of the set of available slots is greater than the requested size [64]; searching for separate chunks of available time slots in a single frequency [66]; and searching for separate chunks of available time slots in multiple frequencies [68]. Each allocation step comprises checking whether the allocation violates a frequency switching constraint.
Owner:THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV

System and method for determining network users' physical locations

A computer program product is provided as a system for use with the Internet to determine the physical location of IP addresses. The system of the invention includes a locator broker and various databases. The locator broker is the intermediary between the locator sources that estimate the physical location of an IP address and the online sites requesting the physical location of the IP address. The locator broker aggregates and validates the results from its location queries of the locator sources then returns to the online site the most likely location for a given IP address. The locator broker also tracks the reliability of each locator source and thus targets its location queries to those services most likely to provide an accurate result. The locator broker digests location data from multiple geolocation services and presents a coherent view of the location data to the online site. The locator broker also provides value-added localization data to the online site based on the resulting location of the IP address including useful suggestions to the online site for tailoring data to the online user based on the user's physical location. The locator broker acts on a contract from the online site, which specifies the IP address for which a location is desired. The contract allows the online site to dictate the type of location desired (e.g., city, state), the accuracy desired, and the time frame in which the request must be satisfied. The locator broker bills the online site only when it satisfies the contract for time and accuracy.
Owner:IBM CORP

Reducing acoustic noise in wireless and landline based telephony

Acoustic noise for wireless or landline telephony is reduced through optimal filtering in which each frequency band of every time frame is filtered as a function of the estimated signal-to-noise ratio and the estimated total noise energy for the frame. Non-speech bands and other special frames are further attenuated by one or more predetermined multiplier values. Noise in a transmitted signal formed of frames each formed of frequency bands is reduced. A respective total signal energy and a respective current estimate of the noise energy for at least one of the frequency bands is determined. A respective local signal-to-noise ratio for at least one of the frequency bands is determined as a function of the respective signal energy and the respective current estimate of the noise energy. A respective smoothed signal-to-noise ratio is determined from the respective local signal-to-noise ratio and another respective signal-to-noise ratio estimated for a previous frame. A respective filter gain value is calculated for the frequency band from the respective smoothed signal-to-noise ratio. Also, it is determined whether at least a respective one as a plurality of frames is a non-speech frame. When the frame is a non-speech frame, a noise energy level of at least one of the frequency bands of the frame is estimated. The band is filtered as a function of the estimated noise energy level.
Owner:APPLE INC

Electric vehicle orderly charging control method and system

The invention relates to an electric vehicle orderly charging control method. The method comprises the following steps of accounting and calculating the charging load predicting results at the next time frame as per the history data or the charging demand of the conventional electric vehicle by station level management equipment and uploading the charging load predicting results to an electric fence administration center, calculating the available capacity of an electric fence as per the predicting results at the present time frame and the real-time operation state and sending electric fence available capacity command to the station level management equipment by the electric fence administration center, comparing the charging power demand of the present time frame by the station level management equipment and coordinating the charging demand of the electric vehicle if the charging demand of the electric vehicle is smaller than the charging power demand of the present time frame. The invention further relates to an electric vehicle orderly charging control system. The allowance power of a recharge replacement station is restricted reasonably by the electric fence administration center as per the charging load predicting results submitted by the station level management equipment and the operating condition of the electric fence, thereby avoiding the impact to the electric fence caused by power requirements of the recharge replacement station and coordinating the energy source requirements of the electric fence load and the electric vehicle better.
Owner:STATE GRID CORP OF CHINA +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products