173 results about "Frequency count" patented technology

A computer implemented method of generating keyword recommendations is provided, which includes providing keyword frequency data in computer readable media that indicate frequency counts of keywords used in past internet searches; providing keyword affinity data in computer readable media that indicate affinities between pairs of keywords used in past user internet searches; identifying keywords from the keyword frequency data that include the selected keyword; identifying keywords from the keyword affinity data that have an affinity to the selected keyword; and prioritizing the identified keywords based upon the keyword frequency.

A frequency counting unit (15A) counts occurrence frequencies (14B) in input text data (14A) for respective words or word chains contained in the input text data (14A). A context diversity calculation unit (15B) calculates, for the respective words or word chains, diversity indices (14C) each indicating the context diversity of a word or word chain. A frequency correction unit (15C) corrects the occurrence frequencies (14B) of the respective words or word chains based on the diversity indices (14C) of the respective words or word chains. An N-gram language model creation unit (15D) creates an N-gram language model (14E) based on the corrected occurrence frequencies (14D) obtained for the respective words or word chains.

Some aspects of the invention provide methods, systems, and computer program products for creating a static dictionary in which longer byte-strings are preferred. To that end, in accordance with aspects of the present invention, a new heuristic is defined to replace the aforementioned frequency count metric used to record the number of times a particular node in a data tree is visited. The new heuristic is based on counting the number of times an end-node of a particular byte-string is visited, while not incrementing a count for nodes storing characters in the middle of the byte-string as often as each time such nodes are visited. The result is an occurrence count metric that favours longer byte-strings, by being biased towards not incrementing the respective occurrence count values for nodes storing characters in the middle of a byte-string.

A method for increasing the performance and utilization of cache memory by combining the data block frequency map generated by data de-duplication mechanism and page prefetching and eviction algorithms like Least Recently Used (LRU) policy. The data block frequency map provides weight directly proportional to the frequency count of the block in the dataset. This weight is used to influence the caching algorithms like LRU. Data blocks that have lesser frequency count in the dataset are evicted before those with higher frequencies, even though they may not have been the topmost blocks for page eviction by caching algorithms. The method effectively combines the weight of the block in the frequency map and its eviction status by caching algorithms like LRU to get an improved performance and utilization of the cache memory.

A method and system for controlling the growth of a features frequency profile of a time-ordered sequence of events, wherein each event has features specific to each event. The events are sequentially processed in an order of processing. The processing includes selecting for each event processed at least one feature comprised by the event. The processing updates a frequency count of each feature selected. The frequency counts are periodically reduced in magnitude by a reduction factor. Frequency counts are selected for deletion upon satisfaction of a condition that favors deletion of those frequency counts having a magnitude less than a threshold value. The selected frequency counts are then deleted. The present invention employs an economical use of memory to store data associated with the features frequency profile and uses a features preference profile that is more responsive to recent information than to older information.

An author-oriented document summarizer for a word processor is described. The document summarizer performs a statistical analysis to generate a list of ranked sentences for consideration in the summary. The summarizer counts how frequently content words appear in a document and produces a table correlating the content words with their corresponding frequency counts. Phrase compression techniques are used to produce more accurate counts of repeatedly used phrases. A sentence score for each sentence is derived by summing the frequency counts of the content words in a sentence and dividing that tally by the number of the content words in the sentence. The sentences are then ranked in order of their sentence scores. Concurrent with the statistical analysis, during the same pass through the document the summarizer performs a cue-phrase analysis to weed out sentences with words or phrases that have been pre-identified as potential problem phrases. The cue-phrase analysis compares sentence phrases with a pre-compiled list of words and phrases and sets conditions on whether the sentences containing them can be used in the summary. Following the cue-phrase analysis, the summarizer creates a summary containing the higher ranked sentences. The summary may also include a conditioned sentence if the conditions established for inclusion of the sentence have been satisfied. The summarizer then inserts the sentence at the beginning of the document before the start of the text.

The embodiment of the invention provides a method and a device for calibrating a local clock based on satellite time service. The method mainly comprises the following steps of: performing frequency multiplication on a local clock signal by using a digital phase-locked loop to acquire a frequency multiplication clock; performing frequency counting on a satellite clock signal received by a satellite receiver by using the frequency multiplication clock to acquire a count value corresponding to the satellite clock signal, and subtracting the count value from a count value corresponding to a local standard clock to acquire a count difference value; and acquiring clock offset between the local clock signal and the satellite clock signal according to the count difference value, and calibrating the local clock according to the clock offset. By the method and the device provided by the embodiment of the invention, the satellite clock signal is subjected to frequency counting through the frequency multiplication clock, so that the offset between the local clock signal and a clock signal output by a global positioning system (GPS) / Beidou satellite navigation system can be quickly acquired, and input parameters can be provided for a local clock control algorithm.

The invention discloses a digital phase discriminator used for a GPS tame crystal oscillator. The digital phase discriminator used for the GPS tame crystal oscillator comprises a 2N frequency divider, a high level pulse width counter, a low level pulse width counter, a pulse per second clock, a phase difference counter clock, a frequency count value latch and a phase error value latch. The 2N frequency divider is used for performing frequency division on 1 Hz PPS signals output by a GPS module. The high level pulse width counter and the low level pulse width counter are used for counting high level pulse widths and low level pulse widths. The pulse per second clock is in input connection with frequency locking enabled signals provided by the outside, is connected with the GPS and performs frequency diversion on inner pulse per second signals output by an OCXO clock. The phase difference counter clock inputs the inner pulse per second signals and PPS signals output by the GPS module, calculates the time difference of rising edges of the inner pulse per second signals and rising edges of the PPS signals, and outputs count values of the phase difference. The frequency count value latch and the phase error value latch are used for achieving the frequency at which an OCXO tracks GPS signals and the PPS signals and meanwhile output frequency values and phase error values. According to the digital phase discriminator used for the GPS tame crystal oscillator, time sequence design is facilitated, and the problem of lead-lag fuzziness of initial phase errors is avoided; the scheme of serial counters is adopted in the frequency counter and the phase measurement counter, so the frequency of the counter clock will not be affected by counting digits.

The invention provides a frequency correction method and system of a phase-locked loop. The frequency correction method and system of the phase-locked loop are applied to selection of sub-bands of multi-band voltage-controlled oscillators. The method includes the steps that in the counting time TCNT [k], frequency counting is conducted on frequency signals output by a voltage-controlled oscillator at the current working sub-band, and a frequency count value FCNT[k] is obtained, wherein the current working sub-band corresponds to a binary value of a current node in a binary search tree; the error between the FCNT [k] and a target frequency count value FCNTTARGET [k] is calculated, the absolute value of the error is compared with a predetermined value, the TCNT [k] is adjusted dynamically in value range of the TCNT [k] according to a comparison result, and a target working sub-band of the voltage-controlled oscillator is determined by combining the binary search algorithm. According to the method, the measurement error is compared with the predetermined value, and therefore whether a counting time reference is increased or not is controlled; a correct choice is made between correction time and correction accuracy, and therefore the correction time is effectively controlled; the dynamic correction method can effectively shorten the correction time on the whole.

Systems and methods for performing compression of data. A data buffer is separated into equal-sized segments of data. A frequency count is performed to determine how often each segment of data appears in the data buffer. Frequently occurring segments are encoded with unique compression codes, while all other infrequently occurring segments are encoded with a common compression code. The compressed data buffer includes the compression codes, which are all of the same bit-length, and the uncompressed segments. The compression codes and the uncompressed segments are stored in the compressed data buffer in the order in which the corresponding segments appear in the original data buffer.

The invention discloses an application software management system and an application software management method for a mobile terminal, and relates to the field of mobile terminals. According to the system, a terminal detection unit is suitable for detecting the mobile terminal connected with the system; a classification unit is suitable for classifying the application software of the mobile terminal, and finding the alternative software of the application software; a frequency counting unit is suitable for periodically counting the use frequency of the application software, and searching for application software of which the use frequency is lower than a preset value according to counting results; a deletion prompting unit is suitable for judging whether the application software of which the use frequency is lower than the preset value has alternative software or not, and prompting a user to delete the application software of which the use frequency is lower than the preset value if the application software of which the use frequency is lower than the preset value has the alternative software; and a clearing unit is suitable for deleting the application software of which the use frequency is lower than the preset value according to a user instruction. According to the application software management system and the application software management method for the mobile terminal, the utilization rate of a storage space of the mobile terminal is increased; and the system and the method have broad application prospect in the field of smart phones.

Presently, there are no inventions that combine the ability for a user to enter data into an electronic system using unstructured text, with natural language processing (NLP) used to parse, morph, and lexically match the user's input to existing medical classifications of the user's input, and distill the NLP data into keywords for use in binary and logarithmic frequency count and distribution statistical analysis. The inventor has understood the gap in this technology in an industry in which data are required to improve the health of people under, or at risk for, disease distress. This new technology enables automatic and manual data capture by the user, integrates the gathered unstructured data, distills it to discrete data and uses such in relational form to perform statistical analysis on disease likelihood risk factors.

Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.

A frequency calibration loop circuit having a pre-set frequency channel word (FCW) command value, a bit inputted to obtain a target frequency in an oscillator and a pre-set minimum division ratio n (n is a constant) of a programmable divider, includes: an oscillator adjusting a oscillation frequency according to control value; a programmable divider dividing the oscillation frequency according to a division ratio; a counter counting the number of clocks of the divided frequency by using a reference frequency; and a frequency detector outputting a value obtained by subtracting the number of the counted clocks from a reference comparison value, a value obtained by dividing a Frequency Channel Word (FCW) command value by a minimum division ratio of the programmable divider, as the control value of the oscillator.

The invention discloses an energy model based image semantic annotation method. A full energy function of an original image under different regional image and semantic tag corresponding relationships is built according to regional image and semantic tag corresponding potentials and interaction potentials between semantic tags and the infusion is performed on the context information and the exterior information of the image through the full energy function. Compared with context object classification models in the prior art, wherein only the co-occurrence information between objects are utilized or only the fixed spatial relations and the simple frequency count methods are utilized in the context object classification models, the spatial structure information between the objects is fully utilized through the fuzzy spatial relations due to the full energy function and accordingly the semantic chaos is effectively avoided and the accuracy of the semantic annotation is improved.

The present invention provides an OFDM receiver having a level control section comprising comparators which respectively compare a first signal outputted from an ADC with threshold values, counters which respectively count the frequencies with which the level of the first signal exceeds the threshold values, based on second and third signals corresponding to the results of comparison by the comparators, a moving average unit which calculates an average value of the level of the first signal lying in a predetermined period, based on fourth and fifth signals corresponding to the frequencies counted by the these counters, and a DAC which generates a gain control signal for controlling an AMP in such a manner that the average level of the first signal outputted from the ADC becomes a predetermined value, according to a sixth signal calculated by the moving average unit.

The invention discloses a soft start circuit for a switch power supply, comprising an oscillator, a fractional frequency counting module, a resistance network, a current sampling module, a current source I2, a resistance R100, a pulse duration modulation comparer, a phase inverter, an RS trigger and a power PMOS pipe P1, wherein, output clocks of a reset signal and the oscillator are input to the send of the fractional frequency counting module and the RS trigger together, an output signal of the fractional frequency counting module controls the resistance network to obtain output voltage which is connected with a negative input end of the pulse duration modulation comparer, the other negative input end is connected with the error voltage, the positive input end is connected with output current of the current sampling module and is overlaid with the current source I2 to obtain the voltage through the resistance R100, the output end of the pulse duration modulation comparer is input to the R end of the RS trigger after being inverted by the phase inverter, and the inverted output end of the RS trigger is connected with the grid electrode of the power PMOS pipe P1. In the invention, the soft start effect is good, the circuit structure is simple and the chip area is saved.

The invention discloses a coal and rock recognition method based on random local image features. According to the method, the random local image features are used for describing coal images and rock images, the random local image features of coal samples and rock training samples are selected through a clustering algorithm to serve as a primitive dictionary, then the selected random local image features of the coal sample images and the rock sample images are labeled by the primitive dictionary according to the nearest-neighbor rule, a primitive frequency counting regular histogram of one coal sample image or one rock sample image shows one mode of coal or rock, and the coal features and the rock features are expressed in multiple modes; when the coal and the rock are recognized, random local image features are extracted and a histogram is built for images to be recognized according to the same method with the training images, and then the modes are compared with the modes learnt in the training stage, are measured through the Bhattacharyya coefficient and are recognized according to the nearest-neighbor rule. According to the method, images, under different light rays and different viewpoints, of different kinds of coal and rock serve as the training samples, and therefore influence by changes of light and imaging viewpoints is small, influence by changes of varieties of coal and rock is avoided, the recognition rate is high, and the stability is good.

The invention discloses a method and a device for correcting and / or expanding a sentiment dictionary. According to the invention, the device for correcting and / or expanding the sentiment dictionary may comprise cooccurrence work pair extraction unit, a cooccurrence frequency counting unit, a sentimental polarity intensity computing unit, a ranking unit and a correction and / or expansion unit, wherein the cooccurrence word pair extraction unit is used for extracting cooccurrence word pairs from sentences of a sample set; the cooccurrence frequency counting unit is used for counting the cooccurrence frequency of each word in each cooccurrence word pair according to the words defined in the sentiment dictionary; the sentimental polarity intensity computing unit is used for computing the sentimental polarity intensity of each word according to the cooccurrence frequency of each word; the ranking unit is used for ranking all the words according to the sentimental polarity intensity; and the correction and / or expansion unit is used for correcting and / or expanding the sentiment dictionary according to a ranked word list. By the method and the device, not only the conventional sentiment dictionary can be expanded, but also errors in the conventional sentiment dictionary can be effectively discovered and corrected.

The invention provides a method for measuring vector pressure by using capacitance change and the device. In the invention pressure sensors of changeable capacitance are set under forced flat plate and each pressure sensors of changeable capacitance is connected with a circuit cell. By measuring capacitance change and frequency change of oscillation circuit changes of action point of bearing pressure of forced flat plate and pressure size are calculated. The method adopted by the invention is that capacitance values at different positions are obtained firstly; then by oscillation circuit electric signal with certain frequency range is obtained; and then vector difference between directions is calculated to obtain forced point corresponding to the forced flat plate and forced status information. The circuit cell mainly comprises oscillation circuit cell, amplifying and shaping circuit cell, frequency counting cell, vector calculating cell and outputting data cell. The invention is provided with simple structure. It can calculate pressure change and inspect the position of forced point quickly. It can emend it by itself. It is applied in multiple fields.

The invention discloses an online electric abrasion detecting method and system of a vacuum circuit breaker. The online electric abrasion detecting system comprises three current transformers, a current signal conditioning unit, a digital-to-analogue conversion unit, three electric arc property probers, an electric arc signal conditioning unit, an arc time pre-treatment unit, an on-off frequency counting pre-treatment unit, a central processing unit, a local alarming unit and a power supply unit. By improving the forecasting and the selection of an online detection actual parameter of electric service life in an on-off current weighting accumulation method, the influence caused by a wider parameter selection range in an estimation and calculation process according to experience data, particularly large result deviation caused by single abrasion amount accumulation by an on-off current index, can be overcome.

An encryption device and method and decryption device and method which implement a bit-based encryption scheme and hardware design. The encryption device includes a random number generator, receiving a main key, determining a working key using at least one random number and outputting a working key, a model, receiving the main key, the working key and plain text to be encoded and generating at least two frequency counts. The encryption device further includes an encoder, which outputs encoded text based on the working key, the plain text and the at least two frequency counts. The encryption device and method and decryption device and method progress encrypted text that is based upon a stream structure with an unlimited key length and may be compressed by 50%. The encoded text is changeable with different environments even for the same plain text and the same key. Operations of the hardware design are based on arithmetic additions and shifts, and not multiplications and divisions. As a result, the hardware design is simple and applicable to cryptography and e-commerce.

Systems and methods for performing compression of data. A data buffer is separated into equal-sized segments of data. A frequency count is performed to determine how often each segment of data appears in the data buffer. Frequently occurring segments are encoded with unique compression codes, while all other infrequently occurring segments are encoded with a common compression code. The compressed data buffer includes the compression codes, which are all of the same bit-length, and the uncompressed segments. The compression codes and the uncompressed segments are stored in the compressed data buffer in the order in which the corresponding segments appear in the original data buffer.

Knowledge automation techniques may include techniques may include monitoring search queries for content in one or more data stores performed by a plurality of users, and identifying, based on the search queries, a set of one or more search terms. A frequency count for each search term based on a number of occurrence of the search term in the search queries can be determined, and search results corresponding to the search queries can be analyzed. The techniques may include determining, based on the frequency count of each search term and the user responses to the search results, a knowledge gap indicating a lack of content associated with a particular search term in the one or more data stores. The techniques may also include identifying a content source to fill the knowledge gap.

A histogram comparison process is provided that compares a histogram-vector of a first dataset to a corresponding histogram-vector of a second dataset. The histogram-vectors of the first and second datasets are formed from the histogram values of a select few of the histogram classes, the select few classes being the classes of the first dataset that contain the highest frequency count. The second dataset is characterized using only the select few classes of the first dataset; data items with values that belong to other classes are ignored. A palette dataset is created, corresponding to the second dataset, wherein the data items in the third dataset correspond to indexes to the select classes of the first dataset, or null indexes for the ignored data items. The histograms corresponding to overlapping regions is determined recursively, based on the third dataset. Given a histogram corresponding to a first region, the histogram of a second, overlapping, region is determined by merely incrementing the frequency count of the indexes of the elements that are in the second region, but not the first, and decrementing the frequency count of the indexes of the elements that are in the first region, but not the second.