267 results about "Statistical algorithm" patented technology

Disclosed herein are systems and methods for demand forecasting that enable multiple-scenario comparisons and analyses by letting users create forecasts from multiple history streams (for example, shipments data, point-of-sale data, customer order data, return data, etc.) with various alternative forecast algorithm theories. The multiple model framework of the present invention enables users to compare statistical algorithms paired with various history streams (collectively referred to as “models”) so as to run various simulations and evaluate which model will provide the best forecast for a particular product in a given market. Once the user has decided upon which model it will use, it can publish forecast information provided by that model for use by its organization (such as by a downstream supply planning program). Embodiments of the present invention provide a system and method whereby appropriate demand responses can be dynamically forecasted whenever given events occur, such as when a competitor lowers the price on a particular product (such as for a promotion), or when the user's company is launching new sales and marketing campaigns. Preferred embodiments of the present invention use an automatic tuning feature to assist users in determining optimal parameter settings for a given forecasting algorithm to produce the best possible forecasting model.

A system that enables a fleet of vehicles to be maintained is provided. The disclosed system allows a fleet operator to review the history of the vehicles in the fleet along with vehicle sensor data to identify earmarks in the vehicle sensor data that are predictive of faults that the vehicles have experienced. The operator develops statistical algorithms that can detect an earmark in vehicle sensor data. The system then collects vehicle sensor data and applies the statistical algorithms the vehicle data to determine if a potential fault is going to occur in a vehicle. In response to determining that a potential fault is going to occur, the disclosed system automatically alerts the vehicle driver, automatically schedule a maintenance visit, automatically check the fleet inventory for components required for a maintenance visit and order unavailable components, and automatically dispatch the components to the mechanic.

The invention relates to pre-processing of a pronunciation dictionary for compression in a data processing device, the pronunciation dictionary comprising at least one entry, the entry comprising a sequence of character units and a sequence of phoneme units. According to one aspect of the invention the sequence of character units and the sequence of phoneme units are aligned using a statistical algorithm. The aligned sequence of character units and aligned sequence of phoneme units are interleaved by inserting each phoneme unit at a predetermined location relative to the corresponding character unit.

The invention relates to pre-processing of a pronunciation dictionary for compression in a data processing device, the pronunciation dictionary comprising at least one entry, the entry comprising a sequence of character units and a sequence of phoneme units. According to one aspect of the invention the sequence of character units and the sequence of phoneme units are aligned using a statistical algorithm. The aligned sequence of character units and aligned sequence of phoneme units are interleaved by inserting each phoneme unit at a predetermined location relative to the corresponding character unit.

Methods, systems, and mediums for calculating a score that predicts customer activity in the future such as whether the customer will make a purchase, visit a store, etc., or how much money the customer will spend, how many times the customer will shop, etc., are provided. In certain embodiments, these methods and systems collect demographic data and transactional data for customers, summarize at least on variable in the demographic data and the transactional data and attach the summary data to each customer, apply a statistical algorithm to the demographic data, the transactional data, and the summary data to create a model of a target variable related to customer activity and / or loyalty, derive a score for each of the customers from the model, select some of the customers based on the scores, and market directly to the selected customers.

The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with irritable bowel syndrome (IBS). In particular, the present invention is useful for classifying a sample from an individual as an IBS sample using a statistical algorithm and / or empirical data. The present invention is also useful for ruling out one or more diseases or disorders that present with IBS-like symptoms and ruling in IBS using a combination of statistical algorithms and / or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBS and prognostic information useful for guiding treatment decisions.

The present invention describes the system of centralized toll identification, payment and monitoring, which uses geo-location enabled devices such as mobile phone, pager or wireless connected laptops to do so. The invention receives the series of readings, distributed over the length of the toll road, by Location Based Services (LBS) provided by geo-enabled devices along with geo-location database lookup and statistical algorithms to accurately identify whether the vehicle is travelling on toll road, distance travelled by the vehicle on toll road and accordingly calculate and deduct charge by online mode. Using such system, person can do the payment of toll when passing through toll road area directly from his geo-location enabled devices without any intervention of any attendant and simultaneously police can use the toll data from the centralized toll system for enforcement.

The present invention discloses a method for providing prediction of content usage in a website. The method comprising the steps of: real time monitoring traffic of visitors in a website, tracking visitors that are visiting the monitored website to identify one or more parameters relating to user profile, navigation path or content usage, applying at least one statistical algorithm on identified parameters, said algorithm is at least one of: clustering algorithm, nearest neighbor algorithm or probability algorithm and defining content replacement and recommendation for visitors when visiting the monitored website according analysis results of the at least one statistical algorithm.

The invention discloses a data mining system and method, comprising: a business problem template management unit for defining a business problem template; a data processing unit for importing and processing original data formats, using various mathematical operations or statistical algorithms to The variables in it are calculated or new derived variables are generated to generate a superset of business problem template definition variables, and are also used to provide data output in a specified data format; the model management unit is used to assist data mining model training, model evaluation, and model The release of the model and the scoring application of the model; the model display unit is used to provide the end business user with a friendly, business language result display interface. The invention facilitates technicians to develop data mining projects and lowers the technical threshold required for data mining.

The invention belongs to a visual measurement method for the volume of an irregular object. According to the method, firstly, a system is demarcated, and the pixel equivalent of the system is obtained; secondly, three cameras are utilized for respectively obtaining original images of an object to be measured in three directions of overlooking, left looking and right looking, and in addition, the maximal peripheral length image coordinate parameter of the object to be measured is obtained through a top view; then, a left view and a right view are subjected to three-dimensional reconstruction based on the gray level, and meanwhile, the maximal length pixel of the top view is used as the basis for cutting the reconstruction range corresponding to the left view and the right view; next, corresponding statistical algorithms are adopted for calculating the volume of a three-dimensional object in a three-dimensional model in an image coordinate; and finally, the practical volume of the object to be measured in a world coordinate system is calculated according to the pixel equivalent. The visual measurement method has the advantages that the image grey value is utilized for the three-dimensional reconstruction of the object in an image coordinate system, the volume of the object is calculated through the pixel value, only the pixel equivalent is demarcated in the method, the calculation speed is high, and the real-time requirement can be met in the precision range.

A statistical system and method for generating patterns and performing online handwriting recognition based on those patterns. A plurality of predetermined patterns may be generated by performing feature extraction operations on one or more character samples utilizing a Gabor filter. An online handwritten character may be acquired. The online handwritten character may be pre-processed. One or more feature extraction operations, utilizing a Gabor filter, may be performed on the online handwritten character to produce a feature vector. One or more patterns may be generated, using a statistical algorithm, for the online handwritten character, based on the feature vector. The online handwritten character may be statistically classified based on a comparison between the one or more patterns generated for the online handwritten character and the plurality of predetermined patterns.

Throughput of a high-volume throughput-centric computer system is controlled by dynamically adjusting a concurrency level of a plurality of events being processed in a computer system to meet a predetermined target for utilization of one or more resources of a computer system. The predetermined target is less than 100% utilization of said one or more resources. The adjusted concurrency level is validated using one or more queuing models to check that said predetermined target is being met. Parameters are configured for adjusting the concurrency level. The parameters are configured so that said one or more resources are shared with one or more external programs. A statistical algorithm is established that minimizes total number of samples collected. The samples may be used to measure performance used to further dynamically adjust the concurrency level. A dynamic thread sleeping method is designed to handle systems that need only a very small number of threads to saturate bottleneck resources and hence are sensitive to concurrency level changes.

The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with irritable bowel syndrome (IBS). In particular, the present invention is useful for classifying a sample from an individual as an IBS sample using a statistical algorithm and / or empirical data. The present invention is also useful for ruling out one or more diseases or disorders that present with IBS-like symptoms and ruling in IBS using a combination of statistical algorithms and / or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBS and prognostic information useful for guiding treatment decisions.

The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with irritable bowel syndrome (IBS). In particular, the present invention is useful for classifying a sample from an individual as an IBS sample using a statistical algorithm and / or empirical data. The present invention is also useful for ruling out one or more diseases or disorders that present with IBS-like symptoms and ruling in IBS using a combination of statistical algorithms and / or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBS and prognostic information useful for guiding treatment decisions.

The invention provides a conditional random field-based automatic Chinese personal name recognition method. An automatic Chinese personal name recognition system is constructed by studying Chinese personal name characteristics and combining a statistical probability model; text messages are subjected to segmentation, the conditional random field is based, a context rule and credibility method is combined, and candidate personal names are obtained; personal names with boundary recognition errors are corrected by means of a local statistical algorithm, and recognition results of a system are finally obtained. The recognition errors generated through segmentation are greatly reduced, the problem that other named entities are recognized as Chinese personal names is better solved, and the recognition effect is improved.

The invention provides a method for identifying re-loading relation between internet news texts. The method is used for identifying the re-loading relation between news pages on the internet. The method comprises the following steps of: extracting main body content from a page by using a statistical algorithm, filtering noise information, such as advertisements and navigations, automatically identifying new words, and tapping characteristic words of the news text so as to primarily identify the re-loading relation; and on the basis of primary identification, calculating the similarity of news texts by a kernel function method so as to further determine the re-loading relation between internet news texts, and the initial publishing stations of news can be obtained.

A preferred method for providing credit to an underserved borrower can include generating a borrower dataset at a first computer in response to receipt of a borrower profile; formatting the borrower dataset into a plurality of variables; and independently processing each of the plurality of variables using one of a statistical algorithm or a machine learning algorithm to generate a plurality of independent decision sets. The preferred method can further include ensembling the plurality of independent decision sets to generate a model question set; and transmitting the model question set to a second computer from which a user can direct one or more questions in the model question set to a borrower.

The invention discloses a method and a terminal for arranging a menu, and relates to the technical field of communication, in particular to technology for arranging the menu. The method for arranging the menu comprises the following steps: acquiring historic clicks of each functional menu of a mobile phone, presetting the clicks within the calculated days, calculating the weighted statistical clicks of each functional menu according to preset weighted statistical algorithm, and arranging each functional menu according to the weighted statistical clicks of each functional menu. The invention also discloses a corresponding terminal. By using the method and the terminal for arranging the menu, the problem that the menu of a cell phone cannot be dynamically arranged according to the change of the using habit of a user can be solved.

The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with inflammatory bowel disease (IBD) or a clinical subtype thereof. In particular, the present invention is useful for classifying a sample from an individual as an IBD sample using a statistical algorithm and / or empirical data. The present invention is also useful for differentiating between a clinical subtype of IBD such as Crohn's disease (CD) and ulcerative colitis (UC) using a statistical algorithm and / or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBD or a clinical subtype thereof and prognostic information useful for guiding treatment decisions.

A system that enables a fleet of vehicles to be maintained is provided. The disclosed system allows a fleet operator to review the history of the vehicles in the fleet along with vehicle sensor data to identify earmarks in the vehicle sensor data that are predictive of faults that the vehicles have experienced. The operator develops statistical algorithms that can detect an earmark in vehicle sensor data. The system then collects vehicle sensor data and applies the statistical algorithms to the vehicle data to determine if a potential fault is going to occur in a vehicle. In response to determining that a potential fault is going to occur, the disclosed system automatically alerts the vehicle driver, automatically schedules a maintenance visit, automatically checks the fleet inventory for components required for a maintenance visit and orders unavailable components, and automatically dispatches the components to the mechanic.

The invention relates to segmentation of cardiac acoustic signals, such as the heart sound signal, based on statistical algorithms. A duration-dependent Hidden Markov Model is disclosed which models the shifting states of the heart, based on the cardiac acoustic signal and the time spent in the given states relating to physiological events, e.g. the various states of the heart during the heart beat cycle.

An asset discovery tool and process in which information from a customer's hardware and software environment is collected and the resulting customer data is processed using statistical algorithms based upon supplier specific information. After the data is processed, the asset discovery tool use the results to build reports that help customers make decisions regarding their application portfolio which will optimize their information handing system deployment costs.

Systems and methods for estimating when an engine event occurs is described. The system includes a controller configured to receive a first signal from at least one knock sensor coupled to a combustion engine, receive a second signal from at least one engine crankshaft sensor coupled to the combustion engine, transform the first and second signals into a plurality of feature vectors using a multivariate transformation algorithm, determine an expected window of an engine event with a statistical model, center a segment of the plurality of feature vectors around the expected window, estimate, using the statistical algorithm, a time in the expected window corresponding to when the engine event occurred, and adjust operation of the combustion engine based on the time.

The invention discloses an internet public opinion analyzing method and device. The internet public opinion analyzing method comprises the steps of obtaining target web pages of internet public opinion analysis from the internet, carrying out word segmentation on texts in the target web pages, obtaining text feature words of the target web pages from the result of word segmentation by utilizing the statistical algorithm, classifying the text feature words into positive text feature words and negative text feature words according to a positive and negative word dictionary practiced in advance, and judging whether the target web pages are the positive public opinion web pages or the negative public opinion web pages according to the classified results of the text feature words. The internet public opinion analyzing method and device improve the efficiency of analyzing tendency of internet public opinions.

The invention discloses a solar silicon wafer and battery piece counting method based on image processing and belongs to the technical field of image processing. The method comprises the following steps that 101, side images of stacked silicon wafers or stacked battery pieces are preprocessed; 102, a measured object is positioned, and a mask is used for processing and limiting an operation region; 103, the images covered with the mask are replicated and subjected to different kinds of threshold processing respectively to obtain a denoised and binarized image; 104, the obtained denoised and binarized image is subjected to post-processing; 105, differential statistical counting and positioning are conducted to obtain the number of the measured stacked silicon wafers or the measured stacked battery pieces. According to the method, the side images of the stacked silicon wafers or the stacked battery pieces are collected, the binary image highlights gaps and filters out other interference noise, and finally a differential statistical algorithm is adopted to obtain the accurate number. By means of the method, the problem of inaccurate counting due to poor quality of the obtained image and high noise is solved, and the counting accuracy and efficiency are improved.

Allocation of a plurality of channels in a wireless network is described. The allocation process has each base station serving the sectors in the network scan each unused channel of the plurality of channels in its served sector. The signal quality of each scanned, unused channel is measured and sorted according to the measured signal quality. The quality-sorted unused channels are then ordered according to a statistical algorithm. An ordered list of available channels is generated according to results of the statistical algorithm ordering. This ordered list is broadcast to each access terminal (AT) registered with the base station. New communication between the base station and its registered ATs is then initiated using one of the unused channels in the ordered list.

The invention discloses a vehicle trajectory data processing method, device and equipment and a storage medium. The method comprises the steps: sorting the obtained trajectory points of each vehicle according to the sequence of timestamps from small to large, and obtaining a trajectory point sequence of each vehicle, wherein the track points comprise position information, timestamps and license plate information; aiming at the track point sequence of each vehicle; performing trajectory segmentation on the trajectory point sequence according to the target area to obtain a plurality of trajectory segments, and applying the logically segmented trajectory segments as source data to a preset algorithm, such as an artificial intelligence algorithm or a business statistics algorithm, wherein thedata volume needing to be processed by the algorithm can be reduced, and the operation efficiency of the algorithm can be improved. The scheme can be applied to the traffic field of smart cities, thereby promoting the construction of the smart cities.

The present invention provides methods, systems, and code for accurately classifying or diagnosing a sample from an individual as an IBS sample. The methods and systems of the present invention are useful for ruling out one or more diseases or disorders that share a similar clinical presentation as IBS followed by identifying (i.e., ruling in) IBS using statistical algorithm(s) and / or empirical data. In particular, the methods and systems of the present invention use a first combination of learning statistical classifier systems to rule out IBD with an accuracy of greater than about 90% and a second combination of learning statistical classifier systems to rule in IBS in a non-IBD sample with an accuracy of greater than about 80%.

The invention discloses a method for counting silicon wafers based on machine vision and image processing, and belongs to the technical field of image processing. The method comprises the steps of 101, preprocessing on side images of stacked silicon wafers or battery pieces; 102, positioning a measured object, and processing and limiting an operation region by a mask; 103, replicating the images covered with the mask, performing different kinds of threshold processing respectively to obtain a denoised and binarized image; 104, performing post-processing on the obtained denoised and binarized image; and 105, conducting differential statistical counting and positioning to solve the number of the stacked silicon wafers or battery pieces. According to the method, the side images of the stacked solar silicon wafers or battery pieces are collected, the binary image is enabled to highlight gaps and filter out other interference noises, and finally a differential statistical algorithm is adopted to solve the accurate number. By means of the method, a problem of inaccurate counting due to poor quality of the obtained image and high noise is solved, and the counting accuracy and efficiency are improved.

The invention relates to segmentation of cardiac acoustic signals, such as the heart sound signal, based on statistical algorithms. A duration-dependent Hidden Markov Model is disclosed which models the shifting states of the heart, based on the cardiac acoustic signal and the time spent in the given states relating to physiological events, e.g. the various states of the heart during the heart beat cycle.