3169 results about "Weight value" patented technology

An artificial neural network calculating device for sparse connection comprises a mapping unit used for converting input data into the storage mode that input nerve cells and weight values correspond one by one, a storage unit used for storing data and instructions, and an operation unit used for executing corresponding operation on the data according to the instructions. The operation unit mainly executes three steps of operation, wherein in the first step, the input nerve cells and weight value data are multiplied; in the second step, addition tree operation is executed, the weighted output nerve cells processed in the first step are added level by level through an addition tree, or the output nerve cells are added with offset to obtain offset-added output nerve cells; in the third step, activation function operation is executed, and the final output nerve cells are obtained. By means of the device, the problems that the operation performance of a CPU and a GPU is insufficient, and the expenditure of front end coding is large are solved, support to a multi-layer artificial neural network operation algorithm is effectively improved, and the problem that memory bandwidth becomes a bottleneck of multi-layer artificial neural network operation and the performance of a training algorithm of the multi-layer artificial neural network operation is solved.

An artificial neural network device that utilizes one or more non-volatile memory arrays as the synapses. The synapses are configured to receive inputs and to generate therefrom outputs. Neurons are configured to receive the outputs. The synapses include a plurality of memory cells, wherein each of the memory cells includes spaced apart source and drain regions formed in a semiconductor substrate with a channel region extending there between, a floating gate disposed over and insulated from a first portion of the channel region and a non-floating gate disposed over and insulated from a second portion of the channel region. Each of the plurality of memory cells is configured to store a weight value corresponding to a number of electrons on the floating gate. The plurality of memory cells are configured to multiply the inputs by the stored weight values to generate the outputs.

A semantic search system using a semantic ranking scheme including: an ontology analyzer analyzing ontology data related to a search target to determine a weight value of each property according to a weighing method for property; a semantic path extractor extracting all the semantic paths between resources and query keywords and determining a weight value of each extracted semantic path according to the semantic path weight value determination scheme by using the weight value of each property; a relevant resource searcher traversing an instance graph of ontology based on a semantic path having a pre-set length and weight value of more than an expectation level to search resources that have a semantic relationship with the query keywords and are declared as a type presented in the query; and a semantic relevance ranker selecting a top-k results having the highest rank from among the candidate results extracted by the relevant resource researcher by using a relevance scoring function.

Method and apparatus for collecting and storing information about individuals in a social network. A member account is created by verifying a user's identity and collecting user identity data from the user. The user sends an invitation to one or more members or non-members. The one or more members or non-members can accept or decline the user's invitation. If the one or more non-members accept or decline, they must create a member account. The one or more members post paid comments or free comments about the user and one or more user weight values are calculated based on one or more of the following: a number of members in a user's group and their one or more user weight values, a total value of posted paid comments about the user and volume of posted comments about the user. The user can post a reply to the posted comment by the one or more members.

One embodiment of the present invention provides a system for facilitating use of a collation element that supports a large number of characters. The system operates by receiving the collation element and reading a primary weight value from a primary weight field within the collation element. If the primary weight value falls within a reserved set of values, the system reads an additional portion of the primary weight value from both a secondary weight field and a tertiary weight field within the collation element. On the other hand, if the primary weight value is not within the reserved set of values, the system reads a secondary weight value from the secondary weight field, and also reads a tertiary weight value from the tertiary weight field.

A method and system for mapping a number of characters in a string, wherein the string comprises a combination of characters representing indexed expressions and a combination of characters representing non-indexed expressions. One embodiment produces a weight array that can be utilized to compare a first and second string having indexed and non-indexed expressions. In one embodiment, a method generates a set of special weights for characters that represent indexed and non-indexed expressions. The method then associates a weight value of an indexed expression with the specific group of characters representing a specific non-indexed expression, and generates a weight array by retrieving a plurality of special weights associated with the specific group of characters representing the specific non-indexed expression and the associated weight value of the indexed expression.

A method and apparatus is provided for extracting key terms from a data set, the method includes identifying a first set of one or more word groups of one or more word that occur more than once in the data set, and removing from this first set a second set of word groups that are sub-strings of longer word groups in the first set. The remaining word groups are key terms. Each word group is weighted according to its frequency of occurrence within the data set. The weighting of any word group may be increased by the frequency of any sub-string of words occurring in the second set and then dividing each weighting by the number of words in the word group. This weighting process operates to determine the order of occurrence of the word groups. Prefixes and suffixes are also removed from each word in the data set. This produces a neutral form of each word so that the weighting values are prefix and suffix independent.

A system and method for employing a number of producer modules to produce and deliver recommendations to a requester. Each of the recommendations having associated therewith a confidence level. Each of the producer modules having associated therewith a weighting value. The confidence levels in each of the recommendations produced by the producers being modified based on weighting value associated with the producer that produced the produced recommendation. The weighing values associated with each of the producer modules being modified based on information from the requester related to the recommendations delivered to the requester.

A system that builds a network using a document collection wherein the documents are collected and represented as a plurality of nodes in a network matrix. The documents that are to be analyzed are bound to the network (corpus) at a discrete node corresponding to the document. The documents are then analyzed to determine term frequency within each document and the overall term frequency of the same term throughout the entire document grouping. This creates a weighting value that determines the relevancy of each document as compared to the entire network of documents. Finally, weighting values are normalized with relative weighting values so that the sum of the weights of all edges connected to a given node equals 1. User queries then proceed through the network from node to node using the algorithm of the present invention to locate documents relevant to the search.

Systems and methods are provided for multi-entity ontology weighting. In one implementation, a computer-implemented method is provided for identifying one or more target entities. The method receives an input data set. The input data set includes a plurality of tokens that reflect the one or more target entities. The method determines which of the plurality of tokens are labels, identifies a plurality of candidate entities that are related to each of the labels, assigns a weight to each of the plurality of candidate entities based on a frequency of each of the plurality of candidate entities, and ranks, for each of the labels, the plurality of candidate entities according to the assigned weights. The method then outputs, for each of the labels, the one of the plurality of candidate entities for that label that has been assigned a highest weight value.

The invention discloses a method for automatic correction and tiled display of plug-and-play large screen projections. The method comprises the steps as follows: adaptively generating a checker pattern with a certain resolution ratio, projecting by projectors in sequence, capturing by cameras, carrying out feature detection and identification on complicated projection surfaces or checkers under the illumination condition with a multi-feature detection method based on color and geometry, and creating a Bezier curve function to represent a corresponding relation of points between projector images and camera images; and obtaining effective display areas for screen projection with a quick approach method, determining a corresponding relation of the projection contents of the projectors and the display areas, carrying out geometrical distortion on the images to be projected for geometrical correction, and calculating weight values of pixels in projection overlapping areas with a distance-based nonlinear weight value distribution method for fusion of edge brightness. According to the invention, a plurality of projection images of irregular surfaces can be aligned and seamlessly spliced, and the whole method is simple and easy to use, higher in autonomy and better in seamless splicing performance.

A motion object detection method using an adaptive background model and a computer-readable storage medium are provided. In the motion object detection method, a background model establishing step is firstly performed to establish a background model to provide a plurality of background brightness reference values. Then, a foreground object detecting step is performed to use the background model to detect foreground objects. In the background model establishing step, a plurality of brightness weight values are firstly provided in accordance with the brightness of background pixels, wherein each of the brightness weight values is determined in accordance with the relative background pixel. Thereafter, the background brightness reference values are calculated based on the brightness of the background pixels and the brightness weight values. In addition, a computer can perform the motion object detection method after reading the computer-readable storage medium.

One embodiment of the present invention sets forth a technique for selecting a content distribution network (CDN) comprising at least one content server, from a plurality of CDNs, and a playing digital content file from the CDN on a content player. Selecting the CDN is based on a rank order of CDNs, an assigned weight value for each CDN, and a bandwidth measured between the content player and each CDN. Advantageously, a given content player may select a CDN based on prevailing network and CDN loading conditions, thereby increasing overall robustness and reliability when downloading digital content file from a CDN.

A system and method for generating weight values based on maximum data rate for weighting elements included within signal weighting and combining arrangements used in various multi-antenna transmitter and receiver structures is disclosed herein. Weighting values for a given signal combining arrangement are set so as to maximize an output data rate of the applicable multi-antenna system in the presence of adaptive bit loading of the subcarriers of a transmitted signal. The disclosed techniques may be employed to maximize a data rate of a multi-antenna communication system by using adaptive bit loading and RF and baseband weighting schemes. In this case a search is conducted over various combinations of RF and baseband weights in order to find the weight combination which, when adaptive bit loading is also employed, maximizes the data rate.

The invention provides an application recommendation method and an application recommendation system. The application recommendation method includes the following steps: access behavior data of multiple reference users to preset multiple applications are obtained, the multiple reference users are subjected to grouping according to the access behavior data, and each of the multiple applications has a corresponding application class; a group which a target user belongs to is determined according to access behavior data of the target user to the multiple applications, access weighted values of the target user to different application classes are subjected to statistics, and the application classes with the access weighted values which are in a preset range are regarded as interest application classes; and the applications which belong to the interest application classes are extracted from the multiple applications which are accessed by all the reference users and are in the group which the target user belongs to, and then the applications are recommended to the target user. The application recommendation method and the application recommendation system can occupy fewer system resources when the applications are recommended.

A system and method for generating a list of suggested scheduled television programs wherein television schedule guide data which comprises characteristics of scheduled programs and optionally relevancy of those characteristics is obtained from broadcast information. User profiles comprising characteristics of television programs previously viewed, the cumulative amount of time programs having those characteristics has been previously viewed, and optionally the relevancy of the previously viewed characteristics is stored. The user is allowed to manually adjust the weights assigned to characteristics so as to override the system assigned weight values. The system calculates the suggested program list from the schedules it receives from broadcast or other means, using the characteristic weights in the user profiles. The user interface displays percentage values currently assigned to characteristics in that user's profile, but smoothes the percentage values by calculating them based on a ratio of characteristic weights to the greater of a preset value such as 500 or the actual weight of the highest weighted characteristic in that user's profile.

The invention relates to a centralized heating whole-network heat balance control method, in particular to a control system which is charged on area, which can eliminate the heat imbalance of the whole network and balance the heating effect. The control method adopts different control strategies for a heat source and two links of a primary side in the heating system so as to meet the requirement of users. For the heat source, the online prediction of the heat load is realized according to external temperature variation, and a running instruction is supplied for the heat source; a uniform control strategy is adopted for a primary network, automatic adjustment of a primary valve of a heat exchanging station of the heat network can be realized, a weighted value can be manually given to a special heat exchanging station, and the heat imbalance degree is used for analyzing and evaluating a whole-network heat balance control effect; and the control method can effectively solve the problems of the heating system such as imbalance heat and energy waste, a great amount of manpower and material resource can be saved in the adjustment process of the heat network, and the balance and consistency of the heat supply effect can be guaranteed.

A system, method, and medium for providing configurable item configuration data by receiving a plurality of configuration data sets from a plurality of sources, all which pertain to the same configurable item (CI), then using weighting rules and preferences to assign weight values for each option, feature, and component in each report according to discrepancies and commonalities between the data sets, creating a new data set for the configurable item by selecting options, features, and components having the greatest weight values among all of the data sets, assigning confidence factors to each option, feature, and component by weight comparisons between the plurality of data sets; updating a configuration management database entry for the configurable item accordingly. The confidence factors are useful for inhibiting regulated processes, such as software release processes and change control processes, and for generating human-readable configuration reports indicating confidence levels of the reports and their contents.

The invention belongs to the field of data processing technology and discloses a text sentiment classification method facing Chinese Web comments. The text sentiment classification method includes a training process and a classification process. The training process includes the steps of carrying out training text preprocessing, carrying out feature selecting, carrying out vectorization representation of a text and obtaining a training classifier. The classification process includes the steps of carrying out test text preprocessing, carrying out feature selecting, utilizing the classifier to classify and outputting a classification result. On the basis of an original document classification method, document frequency (DF) and information gain (IG) are used and a sentiment dictionary of negative words, degree adverbs and dynamic sentiment words are built to distinguish sentiment tendency of Chinese feature words, select feature words, calculate a feature weight value and build a feature vector. Moreover, a NaiveBayes classification algorithm is used for training to obtain the classifier, carrying out sentiment classification on the text, providing effective data mining for users and then carrying out analysis processing.

The invention discloses a multistage-control-based batching weighing control method, and belongs to the technical field of weighing. A batching weighing process is divided into three stages, and different control modes are adopted. The method specifically comprises the following process of rapidly batching any material at the same constant maximum speed when the actual blanking amount is less than or equal to a first-stage weight value in the first stage which is a rapid feeding stage; performing control by using a conventional PID (proportion integration differentiation) controller in the second stage which is an accurate weighing stage; and performing control by using an iterative learning control method, calculating a given closing advance control amount, and correspondingly regulating the feeding speed in the third stage which is a drop prediction stage. According to the method, the problem of conflict between the material batching weighing speed and accuracy is well solved; in addition, the method is independent of changes in the material level of a hopper, random changes in the ratio of materials and the like, and has the advantages of high material batching weighing speed, high accuracy and the like.

An information processing apparatus selects a proper content that well matches preference of a user and recommends it. A matrix calculator acquires M (one or more) feature vectors CCV whose elements are given by weight values assigned to a total of N (two or more) pieces of content meta information and context information. The matrix calculator produces a matrix CCM whose columns are given by the M feature vectors CCV and converts it into an approximate matrix CCM* by modifying the weight values of the respective elements of the M feature vectors CCV such that correlations of elements among the M feature vectors CCV are emphasized. Based on the approximate matrix CCM*, a user preference vector (UPV) generator produces a user preference vector UPV*. A matching unit calculates similarity between the user preference vector UPV* and a feature vector CCV produced from new content meta information or context information.

A system and method for enabling an audio conference server (ACS) to provide an application program with multi-point weight controllable audio conferencing. The ACS manages a plurality of audio conferences, receives audio data from a plurality of audio clients, mixes the audio data to provide distance-based attenuation according to decay characteristics for each sound, and delivers the mixed audio data to a plurality of audio clients. Audio clients include set-top box (STB) audio clients and point source audio (PSA) audio clients. The ACS mixes the audio data by identifying a decay factor. Pre-defined decay factors include an audio big decay factor, an audio small decay factor, an audio medium decay factor, and a constant decay factor. One can also develop a customized decay factor. A weighted value for a source audio client based on the identified decay factor and the distance between the source audio client and a target audio client is determined. A mix table is generated using the weighted values for each source/target audio client pair. Then an actual mix value for each target audio client is calculated using the mix table. The present invention also includes means for refining the actual mix value.

The invention discloses a driving behavior analysis method and a driving behavior analysis system. The driving behavior analysis method comprises the following steps: collecting all bad driving behavior data of a driver when the driver drives; uploading the bad driving behaviors data to a data analysis center through networks; multiplying times of various bad driving behaviors and corresponding weight coefficients of bad driving behaviors in the data analysis center to obtain a corresponding weight value; obtaining an assessed value by subtracting the sum of all weight values of bad driving behaviors during a driving from a preset full score of good behaviors. The driving behavior is good if the percentage of the assessed value and the full score value is greater than or equal to X, is general if the percent is greater than or equal to Y and less than X, and is bad if the percent is greater than or equal to Z and less than Y and fails if the percent is less than Z. The analysis method and the analysis system of the driving behaviors can be used for comprehensively, scientifically and accurately assessing bad driving behaviors of a driver and warning the driver in time and meanwhile a company can manage drivers conveniently.

A system and method for using a group of pilot signals to enhance a data signal within an orthogonal frequency division multiplexing (OFDM) multiple-access scheme is described. The OFDM multiple-access scheme has multiple OFDM transmitters using at least overlapping frequency spectrums, during at least overlapping time period, in at least overlapping geographic areas. A set of data signals and a set of pilot signals are received on antenna elements. Each group of data signals from the set of data signals is uniquely associated with a group of pilot signals from the set of pilot signals. Each pilot signal from the set of pilot signals is uniquely associated with its own code from a set of codes. Each code from the set of codes is uniquely associated with an OFDM transmitter from the multiple OFDM transmitters. A group of pilot signals from the set of pilot signals is identified based on its uniquely associated code. A weight value associated with each antenna element from a set of antenna elements is adjusted so that a level of correlation between the group of pilot signals and the code uniquely associated with the group of pilot signals is enhanced while a level of correlation between the remaining groups of pilot signals from the set of pilot signals and the codes uniquely associated with those remaining group of pilot signals are suppressed.

The invention discloses a collaborative filtering recommendation method for introducing program popularity weighting, which is characterized in that on the interface of an IPTV program, a visual menu for users to give marks is provided and a program recommendation list is made for target users according to user watching time, conduct operation and program marking data sent by a terminal set-top box. The invention comprises the detailed steps of: collecting the behavior characteristic information of users, working out a 'user-item' scoring matrix A(m, n), calculating popularity weight value, calculating similarity degree and sorting, making forecast score for the target users and sorting, and working out the recommendation list for the target users. Compared with the prior art, the method disclosed by the invention is more in accordance with objective reality, improves the quality of collaborative filtering and the precision degree of recommendation, initiatively cuts own the programs according to user preferences and behavior characteristics, carries out personalized recommendation to the programs which the users like and realizes the purpose that 'watch the program you like whenever you want'.

The invention provides a method for controlling display brightness, which comprises the following steps: obtaining the current environmental light brightness; calculating the current image brightness; calculating a correct value of the display brightness according to the current environmental light brightness and the current image brightness; controlling the display brightness according to the correct value of the display brightness. The invention fully considers the influence of the self image brightness on the virtual sense of a user and uses the self image brightness as a weighted factor to control the display brightness. The invention weights the environmental light brightness and the image brightness, controls the backlight of a display screen of a flat television by the weighted value of the environmental light brightness and the image brightness, and effectively solves the problem of flaring or unclear images when environmental light and the television images are both bright or dark.

A global positioning system and dead reckoning (GPS&DR) integrated navigation system includes a GPS receiver coupled to a moving object for periodically generating GPS navigation information of said moving object, a DR system coupled to said moving object for periodically calculating DR navigation information of said moving object, and a filter coupled to said GPS receiver and said DR system for periodically calculating navigation information of said moving object, wherein said filter gets observation information by integrating said GPS navigation information and said DR navigation information according to a weight value of said GPS navigation information and a weight value of said DR navigation information, and calculates a current navigation information by integrating said observation information with previous navigation information from a plurality of previous cycles.

There is provided a solid-state imaging device, which includes: a comparator for sequentially comparing a predetermined level of an analog pixel signal obtained from a plurality of pixels with a reference signal which is gradually changed and used for converting the predetermined level into digital data; a counter for performing a count processing in parallel with a comparison processing for the predetermined level in the comparator, and holding a count value at a time of completing the comparison processing to obtain digital data indicative of a value obtained by adding the plurality of pixel signals; and an addition spatial position adjusting unit for controlling a selection operation for selecting spatial positions of the plurality of pixels to be processed in the comparator and a ratio of a weight value during the addition to adjust spatial positions of pixels after addition.

A method and system for transmitting and receiving data using a plurality of antennas are disclosed. The method of transmitting includes the steps of receiving feedback information from a receiving end, the feedback information including group selection information and weight values for the plurality of antennas, grouping the plurality of antennas into a plurality of antenna groups based on the group selection information included in the feedback information, and transmitting, to a receiving end, a plurality of data streams through the plurality of antenna groups, respectively, based on the weight values.

A search system used in an ebook reading device is provided. The system includes a search module, a relevancy calculating module, and a sort module. The search module is for searching metadata of the ebooks and comparing the metadata searched with corresponding metadata of an ebook currently displayed, thereby obtaining different comparison results based on different metadata. The relevancy calculating module is for computing relevancy values between the ebook currently displayed and the searched ebooks according to comparison results and corresponding weight values. The sort module is for sorting the searched ebooks according to the relevancy values computed, thereby obtaining different relevancy search results based on different metadata. Therefore, according to the different relevancy search results, readers can obtain different relevant information for the ebook currently displayed. A related search method is also provided.