65 results about "Average duration" patented technology

The invention is a low voltage ceiling or wall mounted light fixture for residential and commercial lighting, having included a plurality of high lumen white LED lights incorporated within the fixtures, a light color diffusion panel and a household current to low voltage DC converter within the fixture to convert the AC current to low voltage DC current, saving on the cost of power required to provide illumination for the resident or commercial application and virtually eliminating the need to replace incandescent or fluorescent bulbs, the LED lights having an average duration of over 150,000 hours.

The field of the invention is that of the reception of a radionavigation signal originating from a satellite positioning system such as the GPS system. The present invention concerns a method for calculating correlations between a first sequence and a second sequence, said first sequence and said second sequence having a duration D_Code, the first sequence being extracted from a digital signal comprising a code, said code comprising elementary time divisions, called chips, of mean duration D_chip, said chips being synchronized with pulses delivered by an NCO oscillator at the mean frequency 2/D_chip, the second sequence resulting from a sampling at a frequency F_e of an analog signal, the frequency F_e being greater than 2/D_chip. According to the invention, the method comprises a step of aggregating samples of the second sequence, over consecutive integration intervals of duration equal on average to D_chip/2, starting at each pulse of the NCO oscillator, so as to determine results of elementary aggregates.

A system executes services by a “server” for a “client”. A preliminary step establishes a list of available services of the server, set up for the client, in which a processing time is determined releasable by the server for the client per code execution cycle MIF. The system creates on start-up: NT execution tasks for the client, each having a priority of execution level and an allocated average duration of execution, NT being at least 1, the sum of durations of the tasks being at most the releasable processing time; execution rules associating each of the tasks with at least one service of the list; then, during each MIF cycle, the system executes the services on their associated tasks, a task executed by priority and for at most its allocated average time of execution, the non-executed part of a service being executed on its associated task in the next cycle.

An apparatus and method for detecting and measuring internal clock jitter is disclosed. In one embodiment, a reference clock generator generates a reference clock signal based on an instantaneous clock signal. The reference clock signal includes the instantaneous clock signal delayed for an average duration. A phase comparing element receives both the instantaneous clock signal and the reference clock signal such that the phase comparing element measures a phase difference between the instantaneous clock signal and the reference clock signal. The magnitude and direction of the phase difference is indicated by one of a number of distinct phase difference bins in the phase comparing element.

An agent's emotional state is used to assist with determining how to route an incoming communication. The factoring in of emotional state can be combined with other performance metrics that can include, for example, any suitable metric for expressing or describing agent performance or agent skill level. For example, the metrics can include revenue generated, revenue generation rate, profitability, profitability generation rate, number of units sold, rate of unit sales, average duration of the contact, a rating quantifying the agents proficiency in handling a contact, the occurrence of a trouble ticket, agent requests assistance, a no sale situation, customer satisfaction indicators, customer attention, value of collections, time to close a sale, one-and-done, and/or any other metric indicating the customer's relationship with the business.

The invention is a low voltage LED interior lamp for residential and commercial lighting, having included a plurality of high lumen bright white LED lights incorporated within the lamps, a light color diffusion panel and a household current to low voltage DC converter providing power to the lamp to convert the AC current to low voltage DC current, saving on the cost of power required to provide illumination for the resident or commercial application and virtually eliminating the need to replace incandescent or fluorescent bulbs, the LED lights having an average duration of over 150,000 hours.

The invention belongs to the technical field of autism examination, and relates to a resting-state EEG analysis system oriented to autism diagnosis. The system comprises a data collecting module for collecting EEG signals of a testee during an eye-open rest, a data preprocessing module for denoising resting-state EEG data, and a feature extracting module for calculating the correlation coefficientbetween preprocessed resting-state EEG topographical maps, conducting k-means blind clustering with the correlation coefficient as the feature parameter to obtain three resting-state EEG micro-statetopographical maps of three resting-state EEG micro-states, extracting the average duration time or average appearing frequency in each second of each type of micro-state to obtain a training data sample set and a testing sample set, obtaining a mode classifier according to a standard forward neural network structural design technology, and finally obtaining the diagnosis result of the autism riskthrough the obtained mode classifier. The auxiliary diagnosis of autism can be objectively and rapidly made, and the system is suitable for autism diagnosis of children in early development.

The invention discloses an oral retelling marking method comprising the following steps: voice to be marked of standard text content for user retelling is obtained, a BP nerve network-based continuousspeech word cutting algorithm is used for dividing the voice to be marked into word voice, a fluency mark is obtained via calculation according to average duration of the word voice, the word voice is identified as corresponding words via the BP nerve network-based continuous speech word cutting algorithm, and all words are compared with key words in a standard text; a key word score and a text relevancy score are obtained; according to a fluency score, the key word score and the text relevancy score, a comprehensive score of the voice to be marked can be obtained via calculation. Correspondingly, the invention also discloses an oral retelling marking system. Via the oral retelling marking method and system disclosed in an embodiment of the invention, oral retelling can be evaluated in acomprehensive, objective and reasonable manner.

A method controls the operation of devices which communicate over a wireless communications channel. The method includes determining a parameter of a received signal communicated over the wireless communications channel and determining a minimum threshold value of the received signal. An average duration of fade is determined using the parameter and the minimum threshold. The method detects whether the received signal is less than the minimum threshold value. At least one of the devices is placed in a sleep mode for approximately the average duration of fade in response to the received signal being detected as less than the minimum threshold value. The determined parameter of the received signal may be the root mean square value of the received signal.

The invention provides a television viewer interest modeling method and system, and relates to the technical field of a smart television. The method comprises the steps of S1, obtaining user on-demand data and processing the data; generating user history on-demand records, program basic attribute records and a channel electronic program menu; S2, establishing a time-based user interest preference mode and a frequency-based user interest preference mode; S3, establishing a preference mode of a user to programs; and S4, establishing a user preference matrix according to the preference models, and recommending television programs to the user according to the user preference matrix. According to the method and the system, the preference of the user to the programs is adjusted from aspects such as average duration and times of demanding for a same program by all users, and the duration and times of demanding for all programs by a single user; the new user interest preference model is established; and the television program information can be recommended to the user accurately.

A method to gauge and control churn of a project may include determining an estimated project churn. The method may also include allocating resources in response to the estimated project churn. Another method to gauge and control project churn in accordance with another embodiment of the present invention may include entering a project-specific task list. The method may also include entering at least optimistic, pessimistic and expected time requirements to rework or modify each task of the project requiring rework or modification in response to any potential project changes. An average time requirement may be determined to rework or modify each task requiring rework or modification in response to any potential project changes, and a weighted average duration analysis may be performed on any tasks requiring rework or modification in response to any potential project changes. An impact to the project may be determined in response to the weighted average duration analysis.

A method for the assessment of various properties of bone is provided. The method includes applying a pair of ultrasound transducers to skin on opposite sides of the bone and generating an ultrasound signal and directing the signal through both the bone to obtain a bone output signal. The method further includes establishing a set of parameters associated with the bone output signal and then further processing the parameters in order to obtain the desired bone property. Two novel parameters are also disclosed, namely the net time delay (NTD) and mean time duration (MTD) parameters. An apparatus for the assessment of various properties of bone is also provided. The apparatus includes a pair of ultrasound transducers which may be single-element transducers or array transducers in any combination. The apparatus further includes various computer hardware components and computer software for generating and directing the ultrasound signal, establishing the parameter set and performing the processing. In addition, an apparatus that is battery powered, handheld, and portable and operates in real time is also provided.

A communication device may receive successive key inputs, determine an average time duration between successive key inputs, start a timeout, determine if a timeout was successful and adjust the timeout period based on the determined success of the timeout.

A cardiac pacemaker has a pulse generator which emits stimulation pulses which are respectively separated by stimulation intervals and which collectively have an average duration. A modulation device alternatingly shortens and lengthens the stimulation intervals, without changing the average duration. An evaluation unit analyzes signals detected after each stimulation pulse and determines the electric restitution of the heart at the average stimulation interval duration on the basis of a measurement of the duration of the action potential. Changes in a measuring variable, associated with the duration of the action potential, caused by the modulation of the stimulation intervals is determined in a relationship to the average duration of the stimulation interval. This relationship is compared with at least one predetermined value, and the average duration of the stimulation interval is controlled on the basis of this comparison.

The invention discloses a network congestion prompting and access control method and a network congestion prompting and access control device, wherein the method comprises the following steps that when a mobile terminal carries out PDP (packet data protocol) deactivation, one or several factors of the average duration, the average flow rate and the average bandwidth occupied by the terminal type and/or service type corresponding to the mobile terminal in a cell are counted to be used as estimation values of the mobile terminal with the same terminal type and/or service type in the newly accessed process; when the mobile terminal is newly accessed into the cell for PDP activation, cell parameters and user parameters are counted according to the estimation values, if the cell parameters reach the cell preset threshold, the mobile terminal newly accessed into the cell is subjected to congestion prompting and access control, and otherwise, if the user parameters reach the user region preset threshold, the mobile terminal in the same type is subjected to congestion prompting and access control. The method and the device provided by the invention have the advantages that by aiming at the conditions that user groups in different terminal types use different types of data service, the real-time network congestion prompting is carried out for users, and the flow rate and the cost are saved for the users.

The present invention discloses a spoken language pronunciation evaluation method based on a deep neural network posterior probability algorithm. The method comprises the following steps of: selectinga certain amount of voice frequencies from voice, wherein the number of words of each voice frequency is in a certain range, calculating the average likelihood of the phoneme of one word, the averageEGOP of the phoneme of one word and the average duration probability of the phoneme of one word in each voice frequency; and taking the average likelihood of the phoneme of one word, the average EGOPof the phoneme of one word and the average duration probability of the phoneme of one word in each voice frequency as input items, inputting the average likelihood of the phoneme of one word, the average EGOP of the phoneme of one word and the average duration probability of the phoneme of one word in each voice frequency into a neural network, and outputting scores of words. The spoken languagepronunciation evaluation method based on a deep neural network posterior probability algorithm starts from an acoustic model, the LSTM modeling is employed to improve the phoneme recognition rate, theFA likelihood and all the similar phoneme likelihoods are compared, a GOP method is extended to an EGOP method, an artificial neural network scoring model is employed to perform scoring so as to obtain an accurate voice evaluation result.

The stimulation device blanks T-waves from the atrial channel of an electrical cardiac signal by employing a T-wave blanking interval localized to the expected location and duration of the T-wave. To this end, the stimulation device determines the average interval between an R-wave and a T-wave in the patient in which the device is implanted and also determines the average duration of a T-waves within the patient. A T-wave blanking interval is initiated following the average R-T interval subsequent to detection of an R-wave and lasts for a period of time equal to the average T-wave duration. In this manner, highly localized T-wave blanking is achieved permitting P-waves or other atrial signals to be detected during remaining non-blanked portions of the atrial channel of the cardiac signal at least for the purposes of atrial rate detection. The relatively short T-wave blanking interval of the invention is particularly well suited for use in combipolar sensing systems. Method and apparatus implementations are described.

The invention provides a learning management device, which is characterized by comprising a central server, a plurality of learning terminals and a plurality of query terminals, wherein the central server consists of a knowledge storage part, a student information storage part, a center-side communication part, a retrieval acquiring part, a center-side control part, an online duration calculation part, a temporary storage part, a total duration calculation part, a student number calculation part, an average duration calculation part, a duration information storage part, a retrieval judging part and a query information acquiring part; the plurality of learning terminals for students to use are each in communication connection with the central server, and each learning terminal comprises a learning-side picture storage part, a learning-side input displaying part, a learning-side communication part, a time acquiring part and a learning duration acquiring part; and the plurality of query terminals for teachers to use are each in communication connection with the central server, and each query terminal comprises a query-side picture storage part, a query-side input displaying part and a query-side communication part.

The embodiment of the invention discloses a network intelligent balancing method and device based on LTE service type characteristics, and the method and device can improve the utilization efficiencyof overall network resources, and improve the precision of load balancing based on global resources. The method comprises the following steps: in each adjustment period, calculating an average RB resource occupation condition and an average duration time of various user services of each cell in an LTE network based on existing XDR data, and marking the service types of the various user services ofeach cell as a large-flow service or a small-flow service; based on the average RB resource occupation condition, the average duration time and the marking result of the service types of the varioususer services of each cell, obtaining peak data of the simultaneous online RB resource required by each cell for bearing the various user services; and obtaining a performance feedback result of a previous adjustment period, and performing network load balance adjustment on each cell based on the performance feedback result and the peak value data.