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65 results about "Average duration" patented technology

Average duration. Definition. A way of estimating the sensitivity of the value of a bond portfolio to changes in interest rates. Average duration for a portfolio is calculated as the average of the durations of the bonds in the portfolio, weighted according to the price of each bond.

Routing of calls based on agents emotional state

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.
Owner:AVAYA INC

Method and system to gauge and control project churn

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.
Owner:IBM CORP

Method and device for identifying uterine contraction based on uterine eletrohystrogram signals

The invention discloses a method and device for identifying uterine contraction based on uterine eletrohystrogram signals, and belongs to the technical field of delivery monitoring. The method comprises the steps of collecting the uterine eletrohystrogram signals within a certain duration; preprocessing the uterine eletrohystrogram signals to remove interference; setting the length of windows as L, and extracting features of the uterine eletrohystrogram signals in the windows; adopting a fuzzy clustering algorithm to cluster all features of the windows into two types, wherein if the center distance of the two types of features is smaller than or equal to a set threshold value D, it is regarded that no uterine contraction signal exists, and if the center distance of the two types of features is larger than the set threshold value, it is regarded that the type with the largest type center value is the type corresponding to the uterine contraction; calculating the time interval of the centers of every two windows in the uterine contraction types; in all the newly generated windows, searching for the starting point, the end point and the peak point of the uterine contraction; calculating uterine contraction parameters, wherein the uterine contraction parameters comprise the uterine contraction frequency, the average lasting time, the average intensity and the average interval. By means of the method and device for identifying the uterine contraction based on the uterine eletrohystrogram signals, the uterine contraction signals are automatically recognized, the uterine contraction feature parameters are calculated, and a new means is provided for monitoring the uterine activities.
Owner:BEIJING UNIV OF TECH +1

Network congestion prompting and access control method and device

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.
Owner:CHINA UNITED NETWORK COMM GRP CO LTD

Spoken language pronunciation evaluation method based on deep neural network posterior probability algorithm

InactiveCN108364634AAccurate Voice Evaluation ResultsSpeech recognitionEvaluation resultPhoneme recognition
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.
Owner:苏州声通信息科技有限公司

Learning management device

InactiveCN105023472AJudging learning attitudeJudging attentionData processing applicationsElectrical appliancesLearning ManagementAverage duration
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.
Owner:SECOND MILITARY MEDICAL UNIV OF THE PEOPLES LIBERATION ARMY
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