52nd week of 2016 patent applcation highlights part 49 |
Patent application number | Title | Published |
20160379068 | LATERAL SIGN PLACEMENT DETERMINATION - Systems, methods, and apparatuses are described for predicting the placement of road signs. A device receives data depicting road signs from multiple vehicles. The device analyzes a detected placement of the road signs and at least one characteristic of a collection of the data. The characteristic describes the road upon which the data was collected, an operation of the vehicle from which the data was collected, or an environment in which the data was collected. The device generates a model that associates values for the detected placement of the road signs with values for the at least one characteristic. The model may be later accessed to interpret subsequent sets of data describing one or more road signs. | 2016-12-29 |
20160379069 | VEHICLE EXTERIOR ENVIRONMENT RECOGNITION APPARATUS - A vehicle exterior environment recognition apparatus includes a computer configured to serve as a vehicle identifier, a candidate identifier, a shift amount deriving unit, a candidate remover, and a lamp determiner. The vehicle identifier identifies, from respective captured images, a preceding vehicle and a vehicle region occupied by the preceding vehicle. The candidate identifier identifies, as a light-emission source candidate, a candidate determinable as a light-emission source in the identified vehicle region. The shift amount deriving unit derives a shift amount in a predetermined period of the light-emission source candidate in the vehicle region. The candidate remover removes, from the light-emission source candidate identified by the candidate identifier, the light-emission source candidate in which the shift amount is equal to or greater than a predetermined shift amount threshold. The lamp determiner determines whether the light-emission source candidate, unremoved by the candidate remover, is a lighted lamp. | 2016-12-29 |
20160379070 | VEHICLE EXTERIOR ENVIRONMENT RECOGNITION APPARATUS - A vehicle exterior environment recognition apparatus includes a computer configured to serve as a vehicle identifier, a candidate identifier, a cover identifier, and a lamp determiner. The vehicle identifier identifies, from an image captured by an image-capturing unit, a preceding vehicle and a vehicle region occupied by the preceding vehicle. The candidate identifier identifies, as a light-emission source candidate, a candidate determinable as a light-emission source in the identified vehicle region. The cover identifier identifies a cover in the identified vehicle region. The cover covers the light-emission source. The lamp determiner determines whether the light-emission source candidate is a lighted lamp, based on a lighted-state determination threshold and one of the number of pixels and pixel area of the identified light-emission source candidate. The lighted-state determination threshold is based on one of the number of pixels and pixel area of the cover identified by the cover identifier. | 2016-12-29 |
20160379071 | User Identification Method and Electronic Device - A user identification method and a user identification electronic device are provided. The method includes: obtaining user state information of a user; determining available user identification modes based on the user state information; determining user identification accuracy information corresponding to each of the available user identification modes; determining a selected user identification mode, based on a service requiring user identification and the user identification accuracy information; and performing user identification in the selected user identification mode. With the method or the electronic device, the user can be identified based on various types of information, thus an application range of the user identification method is expanded, and robustness of the user identification method is improved. | 2016-12-29 |
20160379072 | VIDEO DETECTION METHOD, VIDEO DETECTION SYSTEM AND COMPUTER PROGRAM PRODUCT - The application relates to a video detection method, a video detection system, and a computer program product, which can implement liveness detection for a human body. The video detection method comprises: obtaining video data acquired by a video data acquisition device; determining a to-be-detected object based on the video data; obtaining a to-be-detected signal corresponding to the to-be-detected object; and determining whether the to-be-detected signal is a liveness physiological signal, wherein the to-be-detected signal is a frequency domain signal corresponding to the video data of the to-be-detected object | 2016-12-29 |
20160379073 | SYSTEMS AND METHODS FOR IMAGE PROCESSING IN A DEEP CONVOLUTION NETWORK - A method performed by an electronic device is described. The method includes interleaving multiple input image channels to produce an interleaved multi-channel input. The method also includes loading the interleaved multi-channel input to a single-instruction multiple data (SIMD) processor. The method further includes convolving the interleaved multi-channel input with a multi-channel filter. | 2016-12-29 |
20160379074 | SYSTEM AND A METHOD FOR TRACKING MOBILE OBJECTS USING CAMERAS AND TAG DEVICES - A method and system for tracking mobile objects in a site are disclosed. The system comprises a computer cloud communicating with one or more imaging devices and one or more tag devices. Each tag device is attached to a mobile object, and has one or more sensors for sensing the motion of the mobile object. The computer cloud visually tracks mobile objects in the site using image streams captured by the imaging devices, and uses measurements obtained from tag devices to resolve ambiguity occurred in mobile object tracking. The computer cloud uses an optimization method to reduce power consumption of tag devices. | 2016-12-29 |
20160379075 | IMAGE RECOGNITION DEVICE AND IMAGE RECOGNITION METHOD - An image recognition device includes: a plurality of first charge storage circuits that store signal charges generated by photoelectric conversion sections; a plurality of second charge storage circuits that store signal charges generated by the photoelectric conversion sections; a first charge read circuit section that reads a pixel signal and outputs an image as a first image; a second charge read circuit section that reads a pixel signal and outputs an image as a second image; a read circuit selection section that selects one of the first charge read circuit section and the second charge read circuit section; and a feature amount determination section, wherein the feature amount determination section determines a detection target subject according to a feature amount of a subject in the second image, and whether to perform the determination for a subject in the first image is determined based on the determination result. | 2016-12-29 |
20160379076 | ARTICLE RECOGNITION APPARATUS AND IMAGE PROCESSING METHOD - According to one embodiment, an article recognition apparatus includes an image acquisition unit, a recognition unit, a region detection unit, a storage unit, and a determination unit. The recognition unit recognizes each of the articles. The region detection unit determines article region information. The storage unit stores article information including a reference value for the article region information. The determination unit determines that an unrecognized article exists, if the reference value for the article region information of each article which the recognition unit recognized does not match with the article region information. | 2016-12-29 |
20160379077 | POSE DETECTION USING DEPTH CAMERA - A computer-implemented method, computerized apparatus and computer program product for detecting an object's pose using a depth image. An image of an object in a scene and depth data of the scene are obtained. At least one pose hypothesis, representing a hypothesized plane, are determined based on the image. An incidence plane, hypothesized to be coplanar with the object, is determined based on the depth data. A relation indicating a level of consistency is determined between the hypothesized plane and the incidence plane for the at least one pose hypothesis. | 2016-12-29 |
20160379078 | APPARATUS FOR AND METHOD OF PROCESSING IMAGE BASED ON OBJECT REGION - An image processing apparatus includes an image data acquisition unit configured to acquire image data, a distance information acquisition unit configured to acquire distance information corresponding to the image data, a detection unit configured to detect one or more object regions, each representing an object, from the image data based on the distance information, an extraction unit configured to extract an object region representing an object which does not overlap a specific three-dimensional region, from among detected object regions, based on the distance information, and an image processing unit configured to perform image processing for the image data based on the extracted object region. | 2016-12-29 |
20160379079 | SYSTEM, APPARATUS, METHOD, AND COMPUTER READABLE STORAGE MEDIUM FOR EXTRACTING INFORMATION - An information extracting system, an information extracting apparatus, a method for extracting information, and a non-transitory computer readable recording medium are provided. The information extracting system according to an embodiment includes a plurality of photographing apparatuses, an information extracting apparatus configured to extract information on objects included in a plurality of single images photographed by the plurality of photographing apparatuses, and a server configured to receive and store feature information on the objects from the information extracting apparatus. The information extracting apparatus generates a composite image by compositing the plurality of single images received from the plurality of photographing apparatuses, detects the objects included in the plurality of single images, extracts feature information on each of the objects, tracks a position of each of the objects in the composite image, and generates object information on the objects by using the feature information and the position of each of the objects. | 2016-12-29 |
20160379080 | IMAGE MATCH FOR FEATURELESS OBJECTS - Object identification through image matching can utilize ratio and other data to accurately identify objects having relatively few feature points otherwise useful for identifying objects. An initial image analysis attempts to locate a “scalar” in the image, such as may include a label, text, icon, or other identifier that can help to narrow a classification of the search, as well as to provide a frame of reference for relative measurements obtained from the image. By comparing the ratios of dimensions of the scalar with other dimensions of the object, it is possible to discriminate between objects containing that scalar in a way that is relatively robust to changes in viewpoint. A ratio signature can be generated for an object for use in matching, while in other embodiments a classification can identify priority ratios that can be used to more accurately identify objects in that classification. | 2016-12-29 |
20160379081 | METHOD AND SYSTEM FOR CLASSIFYING PAINTED ROAD MARKINGS IN AN AUTOMOTIVE DRIVER-VEHICLE-ASISTANCE DEVICE - An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings. | 2016-12-29 |
20160379082 | INTUITIVE COMPUTING METHODS AND SYSTEMS - In one particular aspect, a portable computing device (e.g., a tablet or smartphone) senses audio and/or image content from a user's environment, and initiates one or more recognition agents (e.g., performing image watermark recognition, image recognition, object recognition, facial recognition, barcode recognition, optical character recognition, audio watermark recognition, speech recognition, speaker recognition, or music recognition). Resource allocation to a recognition agent can be varied based on (a) progress of the recognition agent to achieve its recognition goal, and (b) user interest data indicating user interest in the output of the recognition agent. A second candidate recognition agent can be evaluated for possible launch, based on a relevance score, and a cost score. In some embodiments, the device adapts its operation to changing context, by terminating a first recognition agent in favor of a second recognition agent, without express user instruction to do so. A great number of other features and arrangements are also detailed. | 2016-12-29 |
20160379083 | REAL-TIME, MODEL-BASED OBJECT DETECTION AND POSE ESTIMATION - A system includes a memory and a processor configured to select a set of scene point pairs, to determine a respective feature vector for each scene point pair, to find, for each feature vector, a respective plurality of nearest neighbor point pairs in feature vector data of a number of models, to compute, for each nearest neighbor point pair, a respective aligning transformation from the respective scene point pair to the nearest neighbor point pair, thereby defining a respective model-transformation combination for each nearest neighbor point pair, each model-transformation combination specifying the respective aligning transformation and the respective model with which the nearest neighbor point pair is associated, to increment, with each binning of a respective one of the model-transformation combinations, a respective bin counter, and to select one of the model-transformation combinations in accordance with the bin counters to detect an object and estimate a pose of the object. | 2016-12-29 |
20160379084 | DETERMINING USER PREFERENCES FOR DATA VISUALIZATIONS - A method for determining user preferences for data visualizations is provided. The method may include receiving data visualizations. The method may also include collecting the shapes, the line segments, and the colors associated with the data visualizations. The method may further include converting the shapes and the line segments to polygonal outlines. Additionally, the method may include categorizing and measuring the line segments. The method may further include identifying and categorizing the angles formed by the line segments and determining weighted values for the angles. The method may further include calculating the total length for the line segments, and the total weighted value for the angles. The method may also include characterizing the line segments based on the categorization of the line segments and the angles based on the categorization of the angles. The method may further include scoring the at least one data visualization based on the characterizations. | 2016-12-29 |
20160379085 | SYSTEM AND METHOD FOR OBJECT MATCHING - A computer implemented method of matching a tagged target group, selected from a plurality of gallery groups in a first camera field of view, with probe groups in a second camera field of view, by determining a group context for the tagged target group, determining, in the second camera field of view, probe contexts for the respective local probe groups in the second camera field of view; matching the group context against the probe contexts to produce respective similarity scores; and identifying based upon the similarity scores, the probe group that matches the tagged target group. | 2016-12-29 |
20160379086 | SYSTEMS AND METHODS FOR INFERRING GENDER BY FUSION OF MULTIMODAL CONTENT - A method and systems are provided. A system includes a set of visual and textual classifiers for recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user, and performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The system further includes a multimodal information fusion device for combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores to infer a gender of a user. | 2016-12-29 |
20160379087 | METHOD FOR DETERMINING A SIMILARITY VALUE BETWEEN A FIRST IMAGE AND A SECOND IMAGE - A method for determining a similarity value between a first image and a second image, comprises the steps of providing a first plurality of point pairs, wherein each pair of the first plurality of point pairs has two image points in the first image, determining, for each pair of the first plurality of point pairs, a sign parameter and a weight associated with the respective pair of the first plurality of point pairs according to image intensities of the two image points of the respective pair of the first plurality of point pairs, providing a second plurality of point pairs, wherein each pair of the second plurality of point pairs has two image points in the second image and is corresponding to one of the point pairs of the first plurality of point pairs, determining, for each pair of the second plurality of point pairs, a sign parameter associated with the respective pair of the second plurality of point pairs according to image intensities of the two image points of the respective pair of the second plurality of point pairs, determining a score parameter according to weights associated with at least part of the first plurality of point pairs, wherein only point pairs are considered which have the same sign parameter as the respective corresponding pair of the second plurality of point pairs, determining a normalization parameter according to weights associated with the first plurality of point pairs or a part of the first plurality of point pairs, and determining a similarity value according to the score parameter and the normalization parameter. | 2016-12-29 |
20160379088 | APPARATUS AND METHOD FOR CREATING AN IMAGE RECOGNIZING PROGRAM HAVING HIGH POSITIONAL RECOGNITION ACCURACY - An apparatus stores a plurality of partial programs, which are constituent elements of an image recognizing program that detects a position of a template image on an input image. The apparatus creates a plurality of individual programs each being a combination of at least two of the plurality of partial programs, and calculates a similarity map that associates similarity with the template image with each pixel of the input image by using each of the plurality of individual programs. The apparatus calculates fitness for each of the plurality of individual programs, based on a distribution of the similarity map, selects an individual program for which the fitness is equal to or greater than a prescribed threshold, from among the plurality of individual programs, and outputs the selected individual program as the image recognizing program. | 2016-12-29 |
20160379089 | METHOD, APPARATUS, COMPUTER PROGRAM AND SYSTEM FOR IMAGE ANALYSIS - Examples of the present disclosure relate to a method, apparatus, computer program and system for image analysis. According to certain examples, there is provided method comprising causing, at least in part, actions that result in: receiving orientation information of an image capturing device; receiving one or more features detected from an image captured by the image capturing device; and selecting a clustering model for clustering the features, wherein the clustering model is selected, at least in part, in dependence upon the orientation information. | 2016-12-29 |
20160379090 | Method And System For Attaching A Metatag To A Digital Image - A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website such as Facebook® to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database. | 2016-12-29 |
20160379091 | TRAINING A CLASSIFIER ALGORITHM USED FOR AUTOMATICALLY GENERATING TAGS TO BE APPLIED TO IMAGES - This disclosure relates to training a classifier algorithm that can be used for automatically selecting tags to be applied to a received image. For example, a computing device can group training images together based on the training images having similar tags. The computing device trains a classifier algorithm to identify the training images as semantically similar to one another based on the training images being grouped together. The trained classifier algorithm is used to determine that an input image is semantically similar to an example tagged image. A tag is generated for the input image using tag content from the example tagged image based on determining that the input image is semantically similar to the tagged image. | 2016-12-29 |
20160379092 | SYSTEM FOR BUILDING A MAP AND SUBSEQUENT LOCALIZATION - SLAM systems are provided that utilize an artificial neural network to both map environments and locate positions within the environments. In some example embodiments, a sensor arrangement is used to map an environment. The sensor arrangement acquires sensor data from the various sensors and associates the sensor data, or data derived from the sensor data, with spatial regions in the environment. The sensor data may include image data and inertial measurement data that effectively describes the visual appearance of a spatial region at a particular location and orientation. This diverse sensor data may be fused into camera poses. The map of the environment includes camera poses organized by spatial region within the environment. Further, in these examples, an artificial neural network is adapted to the features of the environment by a transfer learning process using image data associated with camera poses. | 2016-12-29 |
20160379093 | DETECTION METHOD AND SYSTEM - A detection method executed by a computer, the detection method includes detecting a plurality of pupil candidates from a face image region in an image of a subject based on specific shape information, and identifying at least one pupil candidate as a pupil from among the plurality of pupil candidates based on brightness information related to an image region outside of the face image region and learning information indicating a relationship between the brightness information and a size of the pupil. | 2016-12-29 |
20160379094 | METHOD AND APPARATUS FOR PROVIDING CLASSIFICATION OF QUALITY CHARACTERISTICS OF IMAGES - An approach is provided for automated analysis and classification of quality characteristics associated with captured imagery that may be used in an application such as a map application. The approach includes determining digital data associated with a region of interest in an image. The approach also comprises processing and/or facilitating a processing of the digital data to determine one or more quality attributes associated with the region of interest. The approach further comprises causing, at least in part, a comparison of the one or more quality attributes to one or more criteria. The approach also comprises causing, at least in part, a generation of one or more classifications for the image based, at least in part, on the comparison. | 2016-12-29 |
20160379095 | SPECTROMETRY DEVICE, IMAGE FORMING DEVICE, AND SPECTROMETRY METHOD - A printer includes a spectroscope that has a variable wavelength interference filter which incidents light from a measurement region, and a light receiving section which receives light from the variable wavelength interference filter and which outputs a detection signal according to an amount of received light, a carriage moving unit which relatively moves the spectroscope along one direction with respect to a measurement target of spectrometry and moves the measurement region with respect to the measurement target, and a timing detection circuit which has a differential circuit that differentiates the detection signal and outputs a differentiation signal, wherein in a case where the measurement target is a color patch, spectrometry in which the amount of received light is detected starts based on the differential signal. | 2016-12-29 |
20160379096 | PRINTING SYSTEM - The controller: upon receiving a print job, determine whether only one of a first printer and a second printer is under cleaning; upon determining that the only one of the first printer and the second printer is under cleaning, analyze whether a print processing based on the print job is a first print processing in which printing is executable by any of the first printer and the second printer or a second print processing in which printing is to be executed by both the first printer and the second printer; and upon analyzing that the print processing based on the print job is the first print processing, drive the other one of the first printer and the second printer which is not under cleaning to execute the first print processing. | 2016-12-29 |
20160379097 | PRINT CONTROL APPARATUS, AND PRINT CONTROL METHOD - A print control apparatus receives a print job with a print page range indicating target pages selected among all pages of the print job, the print job including a plurality of documents, the target pages including pages of different documents, and selectively rasterizes the received print job according to the print page range, so that the target pages are rasterized and pages among the all pages other than the target pages are not rasterized. | 2016-12-29 |
20160379098 | IMAGE FORMING APPARATUS FOR CONVERTING PRINT DATA INTO INTERMEDIATE DATA, METHOD FOR CONTROLLING IMAGE FORMING APPARATUS, AND STORAGE MEDIUM - There is provided an image forming apparatus configured to process print data of a plurality of pages includes a plurality of interpreters configured to generate intermediate data of the plurality of pages by interpreting the print data, a control unit configured to specify different pages for different interpreters, and, for each specified page, cause a corresponding interpreter to generate the intermediate data of the specified page or specified pages, and a generation unit configured to generate a raster image of the page based on the generated intermediate data, wherein, based on interpretation of the print data of an invalid page, any one interpreter of the plurality of interpreters generates the intermediate data of a page subsequent to the invalid page without requiring the page to be specified by the control unit. | 2016-12-29 |
20160379099 | IMAGE FORMING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - Provided is an image forming apparatus including an image forming section that periodically forms a color calibration image which is used for color adjustment along with an image on a recording material, a color information obtaining section that periodically obtains color information of the color calibration image which is formed on the recording material before color adjustment which is periodically performed, and a color adjusting section that, based on plural pieces of the color information that is obtained by the color information obtaining section, performs color adjustment on an image formed by the image forming section such that a difference between a color of an image which is supposed to be output and a color of an image which is output is reduced by a next color adjustment. | 2016-12-29 |
20160379100 | Binary Labeling - The present invention relates to a method for allocating information about an object. Moreover, the present invention relates to a method for labeling an object for example a method for tracking or identifying an object containing a predetermined information. In addition, a method for providing a security feature to an object is provided as well as a kit for enabling the same. That is, the present invention relates to a method wherein an information about an object is converted into a binary code and said binary code is assigned to a set of compounds having specific peaks in a mass spectrum when measured by mass spectrometry analysis of said set of compounds. | 2016-12-29 |
20160379101 | DYNAMIC AUTHENTICATION SYSTEM AND METHODS FOR USE WITH LEGACY TERMINALS - In one embodiment, the present invention provides a method and communication device with an emulated mag stripe capability. Information is transmitted in the mag stripe data indicating that the communication device has chip capability as well. This information is used by a server on the back-end (acquirer, issuer, network) to take advantage of that chip capability. For example, additional fields can be used for security measures and communication over the telecommunications network with the device can be performed to provide a more secure communication with a terminal. In one embodiment, the additional information is provided in the service code, using a unique 3 digit code other than 2xx. | 2016-12-29 |
20160379102 | AUTOMATED SYSTEM TO IDENTIFY AND TRACK LUGGAGES USING HF TAGS - A tag device ( | 2016-12-29 |
20160379103 | Heat-resistant RFID device - A heat-resistant RFID device is provided with a heat-resistant container including a first space and a cover; two heat-resistant first receptacles in the first space, each heat-resistant first receptacle including a cavity facing the cavity of the other heat-resistant first receptacle; and a heat-resistant second receptacle in the cavities and including an open second space, an RFID tag in the second space, and a heat-resistant adhesive filled in the second space and covered the RFID tag to fasten the RFID tag in the second space. | 2016-12-29 |
20160379104 | RFID TRANSPONDER WITH RECTIFIER AND VOLTAGE LIMITER - The present invention relates to a transponder, which comprises an antenna and a multi-stage rectifier. The antenna is connected to an input of the multi-stage rectifier having m rectifier stages, and a shunt limiter is connected to an output of the rectifier and connected to an n | 2016-12-29 |
20160379105 | BEHAVIOR RECOGNITION AND AUTOMATION USING A MOBILE DEVICE - Signals representing local events and/or state are captured at a mobile device and utilized by a machine learning system to recognize patterns of user behaviors and make predictions to automatically launch an application, initiate within-application activities, or perform other actions. The local signals may include, for example, location information such as geofence crossings; alarm settings; use of network connections like Wi-Fi, cellular, and Bluetooth®; device state such as battery level, charging status, and lock screen state; device movement indicating that the device user may be driving, walking, running, or stationary; audio routing such as headphones being used; telemetry data from other devices; and application state including launches and within-application activities. A feedback loop is supported in which the machine learning system may utilize feedback from the user as part of a learning process to adapt and tune the system's predictions to improve the relevance of the predictions. | 2016-12-29 |
20160379106 | HUMAN-COMPUTER INTELLIGENCE CHATTING METHOD AND DEVICE BASED ON ARTIFICIAL INTELLIGENCE - The present disclosure provides a human-computer intelligence chatting method and device. The method includes: receiving a multimodal input signal, the multimodal input signal comprising at least one of a speech signal, an image signal, a sensor signal and an event driving signal; processing the multimodal input signal to obtain text data, and obtaining an intention of a user according to the text data; obtaining an answer corresponding to the intention of the user, and converting the answer to a multimodal output signal; and outputting the multimodal output signal. | 2016-12-29 |
20160379107 | HUMAN-COMPUTER INTERACTIVE METHOD BASED ON ARTIFICIAL INTELLIGENCE AND TERMINAL DEVICE - The present disclosure provides a human-computer interactive method and apparatus based on artificial intelligence, and a terminal device. The human-computer interactive method based on artificial intelligence includes: receiving a multimodal input signal, the multimodal input signal including at least one of a speech signal, an image signal and an environmental sensor signal; determining an intention of a user according to the multimodal input signal; processing the intention of the user to obtain a processing result, and feeding back the processing result to the user. | 2016-12-29 |
20160379108 | DEEP NEURAL NETWORK PARTITIONING ON SERVERS - A method is provided for implementing a deep neural network on a server component that includes a host component including a CPU and a hardware acceleration component coupled to the host component. The deep neural network includes a plurality of layers. The method includes partitioning the deep neural network into a first segment and a second segment, the first segment including a first subset of the plurality of layers, the second segment including a second subset of the plurality of layers, configuring the host component to implement the first segment, and configuring the hardware acceleration component to implement the second segment. | 2016-12-29 |
20160379109 | CONVOLUTIONAL NEURAL NETWORKS ON HARDWARE ACCELERATORS - A hardware acceleration component is provided for implementing a convolutional neural network. The hardware acceleration component includes an array of N rows and M columns of functional units, an array of N input data buffers configured to store input data, and an array of M weights data buffers configured to store weights data. Each of the N input data buffers is coupled to a corresponding one of the N rows of functional units. Each of the M weights data buffers is coupled to a corresponding one of the M columns of functional units. Each functional unit in a row is configured to receive a same set of input data. Each functional unit in a column is configured to receive a same set of weights data from the weights data buffer coupled to the row. Each of the functional units is configured to perform a convolution of the received input data and the received weights data, and the M columns of functional units are configured to provide M planes of output data. | 2016-12-29 |
20160379110 | NEUROMORPHIC PROCESSING DEVICES - A neuromorphic processing device has a device input, for receiving an input data signal, and an assemblage of neuron circuits. Each neuron circuit comprises a resistive memory cell which is arranged to store a neuron state, indicated by cell resistance, and to receive neuron input signals for programming cell resistance to vary the neuron state, and a neuron output circuit for supplying a neuron output signal in response to cell resistance traversing a threshold. The device includes an input signal generator, connected to the device input and the assemblage of neuron circuits, for generating neuron input signals for the assemblage in dependence on the input data signal. The device further includes a device output circuit, connected to neuron output circuits of the assemblage, for producing a device output signal dependent on neuron output signals of the assemblage, whereby the processing device exploits stochasticity of resistive memory cells of the assemblage. | 2016-12-29 |
20160379111 | MEMORY BANDWIDTH MANAGEMENT FOR DEEP LEARNING APPLICATIONS - In a data center, neural network evaluations can be included for services involving image or speech recognition by using a field programmable gate array (FPGA) or other parallel processor. The memory bandwidth limitations of providing weighted data sets from an external memory to the FPGA (or other parallel processor) can be managed by queuing up input data from the plurality of cores executing the services at the FPGA (or other parallel processor) in batches of at least two feature vectors. The at least two feature vectors can be at least two observation vectors from a same data stream or from different data streams. The FPGA (or other parallel processor) can then act on the batch of data for each loading of the weighted datasets. | 2016-12-29 |
20160379112 | TRAINING AND OPERATION OF COMPUTATIONAL MODELS - A processing unit can acquire datasets from respective data sources, each having a respective unique data domain. The processing unit can determine values of a plurality of features based on the plurality of datasets. The processing unit can modify input-specific parameters or history parameters of a computational model based on the values of the features. In some examples, the processing unit can determine an estimated value of a target feature based at least in part on the modified computational model and values of one or more reference features. In some examples, the computational model can include neural networks for several input sets. An output layer of at least one of the neural networks can be connected to the respective hidden layer(s) of one or more other(s) of the neural networks. In some examples, the neural networks can be operated to provide transformed feature value(s) for respective times. | 2016-12-29 |
20160379113 | TRAINING MULTIPLE NEURAL NETWORKS WITH DIFFERENT ACCURACY - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a deep neural network. One of the methods includes generating a plurality of feature vectors that each model a different portion of an audio waveform, generating a first posterior probability vector for a first feature vector using a first neural network, determining whether one of the scores in the first posterior probability vector satisfies a first threshold value, generating a second posterior probability vector for each subsequent feature vector using a second neural network, wherein the second neural network is trained to identify the same key words and key phrases and includes more inner layer nodes than the first neural network, and determining whether one of the scores in the second posterior probability vector satisfies a second threshold value. | 2016-12-29 |
20160379114 | METHODS AND SYSTEMS FOR DATA ANALYSIS IN A STATE MACHINE - A device includes a match element that includes a first data input configured to receive a first result, wherein the first result is of an analysis performed on at least a portion of a data stream by an element of a state machine. The match element also includes a second data input configured to receive a second result, wherein the second result is of an analysis performed on at least a portion of the data stream by another element of the state machine. The match element further includes an output configured to selectively provide the first result or the second result. | 2016-12-29 |
20160379115 | DEEP NEURAL NETWORK PROCESSING ON HARDWARE ACCELERATORS WITH STACKED MEMORY - A method is provided for processing on an acceleration component a deep neural network. The method includes configuring the acceleration component to perform forward propagation and backpropagation stages of the deep neural network. The acceleration component includes an acceleration component die and a memory stack disposed in an integrated circuit package. The memory stack has a memory bandwidth greater than about 50 GB/sec and a power efficiency of greater than about 20 MB/sec/mW. | 2016-12-29 |
20160379116 | SYSTEMS AND METHODS FOR BINARY TREE STORAGE - Systems, methods, and articles of manufacture provide for binary tree storage. Optimized or enhanced storage of binary trees may, for example, increase processing performance and reduce operational burdens on memory resources associated with execution of predictive models. | 2016-12-29 |
20160379117 | LOCATION-BASED DELIVERY OF STRUCTURED CONTENT - In one example, a computing system includes at least one processor, a communication unit, and a predictive knowledge system. The predictive knowledge system is operable by the at least one processor to determine, based at least in part on the current location of the computing device, a particular geographic region from a plurality of defined geographic regions, the particular geographic region including the current location of the computing device, determine, based on an aggregated web access history for a plurality of computing devices, a content source associated with the particular geographic region, receive, from the content source, content designated for use by the predictive knowledge system, and send, via the communication unit and to the computing device, at least a portion of the content. | 2016-12-29 |
20160379118 | Decision Making Support Device and Decision Making Support Method - A decision making support device including: an opinion acquiring module that acquires an expressed opinion from each of a plurality of participants with respect to each of the plurality of selective elements; and a target person determining module that determines, with respect to a given selective element, from which participant an opinion on the selective element is to be elicited when there are a plurality of unexpressed participants who have not yet expressed opinions on the selective element, wherein the target person determining module respectively calculates, when assuming that each of the unexpressed participants has expressed any of expected opinions, assumed group satisfaction that is determined based on contents of decision making and contents of expression of opinions of the plurality of participants, and determines from which participant an opinion on the selective element is to be elicited in consideration of the assumed group satisfaction. | 2016-12-29 |
20160379119 | FEEDBACK AND CUSTOMIZATION IN EXPERT SYSTEMS FOR ANOMALY PREDICTION - Systems and methods may include receiving, by an expert system, performance data for a monitored system. The systems and methods may include generating a prediction for the monitored system in response to determining that the performance data satisfies a condition. The prediction may identify an anomaly that is predicted to occur. The systems and methods may include receiving, by a filter system, the prediction, information identifying the condition, and user information. The user information may include user preference information and user feedback information. The systems and methods may include determining a filter criteria based on the user information. The filter criteria may be based on the preferences for predictions to be provided to the user and on the historical user feedback regarding the historical predictions. The systems and methods may include providing the prediction to the user in response to determining that the particular prediction satisfies the filter criteria. | 2016-12-29 |
20160379120 | Knowledge Canvassing Using a Knowledge Graph and a Question and Answer System - Mechanisms are provided for processing a knowledge canvassing request. The mechanisms receive a request specifying an entity of interest from an originator of the request and analyze the request to extract a feature of the request. The mechanisms determine whether the request is a targeted natural language question to be answered or a knowledge canvassing request, based on the extracted feature. In response to determining that the request is a knowledge canvassing request, the mechanisms process the request by identifying entities represented in a knowledge graph data structure as being related to the entity of interest. The mechanisms output results of the processing of the request to the originator of the request. | 2016-12-29 |
20160379121 | CONTROL SYSTEM, METHOD AND DEVICE OF INTELLIGENT ROBOT BASED ON ARTIFICIAL INTELLIGENCE - The present disclosure provides a control system, a control method and a control device of an intelligent robot based on artificial intelligence. The system includes: a decision engine, disposed on the intelligent robot, and configured to generate cloud processing information according to a multimodal input signal, and to send the cloud processing information; and a cloud control center, configured to receive the cloud processing information, to obtain a user demand by analyzing the cloud processing information, and to return the user demand, such that the decision engine controls the intelligent robot according to at least one of the user demand and the multimodal input signal. The control system may make full use of great online information, enhance the capability of the intelligent robot for storage, calculation and processing complex decisions, and meanwhile may respond to the user's instruction timely, rapidly and intelligently, and improve the user experience. | 2016-12-29 |
20160379122 | RECOMMENDATION ALGORITHM OPTIMIZATION METHOD, DEVICE AND SYSTEM - Obtaining statistical effectiveness data of each recommendation algorithm; obtaining traffic distribution probability of each recommendation algorithm according to weight of the effectiveness data of each recommendation algorithm in recommendation algorithms; and distributing traffic request for each recommendation algorithm according to the traffic distribution probability. | 2016-12-29 |
20160379123 | Entertainment Prediction Favorites - Systems and methods are described for generating recommendations for content items and ranking categories of content based on a user's consumption history. The content items may comprise various forms of media content, including, video, audio, Internet webpages, etc. When a user or consumption device accesses content items, a computing device may monitor the amount of the content items consumed by a user over one or more consumption sessions. In one embodiment, a user may identify content preferences and/or provide other input to the recommendation system to further customize content rankings and recommendations. | 2016-12-29 |
20160379124 | SYSTEM AND METHOD OF PROACTIVE SELF-CARE FOR ELECTRONIC DEVICES - A method is provided for creating pattern-problem pairs for proactive diagnosis of device issues. A plurality of problem reports are received from problem devices, each having parameters associated with a device profile. The problem reports are parsed to standardize and normalize terms. The parsed problem reports are analyzed to identify common problems in a set of such problem devices where there is a common set of parameters in a pattern. If the frequency of the problems in the set of devices exceeds a threshold, the parsed problem is associated with the pattern for future proactive diagnosis of a target device having the pattern, even without a problem report from the target device. A method of proactively diagnosing a potential problem on a device using such pattern-problem pairs is also provided. | 2016-12-29 |
20160379125 | PROVISIONING SERVICE REQUESTS IN A COMPUTER SYSTEM - Disclosed is a system, computer program product, and method for provisioning a new service request. The computer-implemented method begins with receiving a new service request for computational resources in a computing system. The required computational resources are memory usage, storage usage, processor usage, or a combination thereof to fulfill the new service request. Next a sandbox computing environment is used to operate the new service request. The sandbox computing environment is used to isolate the computing system. The sandbox computing environment produces a current computational resources usage data to fulfill the new service request in the sandbox computing environment. The current sandbox computational resources usage data and historical computational resources usage data are both used by a machine learning module to create a prediction of the computational resources that will be required in the computing system to fulfill the new service request. | 2016-12-29 |
20160379126 | RAPID TRAFFIC PARAMETER ESTIMATION - Data about vehicle movement at a stoplight are collected. A stoplight cycle time is predicted with a probability model. The data are compared to the predicted stoplight cycle time. A noise function is applied to the data to generate noise-applied data. The probability model for the predicted stoplight cycle time is updated by scaling the probability model with the noise-applied data to generate a new probability model. A recommended vehicle operation is provided via a network to at least one vehicle computer based on the predicted stoplight cycle time determined by the new probability model. | 2016-12-29 |
20160379127 | Enhanced E-mail Return Receipts Based on Cognitive Considerations - An embodiment of the invention provides a method for enhanced e-mail return receipts based on cognitive considerations. An input device receives an expected response time from a sender of an electronic message, wherein the expected response time includes the amount of time that the sender expects to receive a response to the electronic message. A processor generates a likelihood that the recipient of the electronic message will respond to the electronic message within the expected response time based on a profile of the recipient. The profile of the recipient includes the recipient's degree of attentiveness to the electronic message, the recipient's workload, the recipient's efficiency, and the recipient's work habits. A communications device presents the likelihood that the recipient will respond to the electronic message within the expected response time to the sender. | 2016-12-29 |
20160379128 | DISTRIBUTED AND PRIVACY-PRESERVING PREDICTION METHOD - Each computer of a peer-to-peer (P2P) network performs an iterative computer-based modeling task defined by a set of training data including at least some training data that are not accessible to the other computers of the P2P network, and by a set of parameters including a shared parameter. The modeling task optimizes an objective function comparing a model parameterized by the set of parameters with the training data. Each iteration includes: performing an iterative gradient step update of parameter values stored at the computer based on the objective function; receiving parameter values of the shared parameter from other computers of the P2P network; adjusting the parameter value of the shared parameter stored at the computer by averaging the received parameter values; and sending the parameter value of the shared parameter stored at the computer to other computers of the P2P network. | 2016-12-29 |
20160379129 | COLLABORATION GROUP RECOMMENDATIONS DERIVED FROM REQUEST-ACTION CORRELATIONS - In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result. A collaboration recommendation based upon a degree of correlation between the subsequent actions performed by the other users and the intended interaction result represented within the collaboration model is provided in association with the visual representation of the collaboration model. | 2016-12-29 |
20160379130 | SOFTWARE REQUEST-FILTERING PREDICTIVE TECHNIQUE BASED ON RESOURCE USAGE PROBABILITIES - In filtering requests to be forwarded to a runtime environment, a filtering apparatus intercepts a new runtime request for the runtime environment and determines execution paths that may be traversed by the runtime request when executed in the runtime environment. The filtering apparatus assigns a probability of traversal by the runtime request to each of the execution paths and identifies at least one given execution path that reference a stressed resource of the runtime environment. Based on the probabilities assigned to the at least one given execution path, the filtering apparatus determines whether or not to block the runtime request from being sent to the runtime environment. If the probability assigned to the at least one given execution path exceeds a configured threshold, the runtime request is blocked from being sent to the runtime environment. Otherwise, the runtime request is sent to the runtime environment. | 2016-12-29 |
20160379131 | FUZZY OPAQUE PREDICATES - Disclosed are secure processes based upon fuzzy opaque predicates and machines such as processors and non-transitory machine-readable storage mediums encoded with instructions containing fuzzy opaque predicates. | 2016-12-29 |
20160379132 | COLLABORATIVE FEATURE LEARNING FROM SOCIAL MEDIA - The present disclosure is directed to collaborative feature learning using social media data. For example, a machine learning system may identify social media data that includes user behavioral data, which indicates user interactions with content item. Using the identified social user behavioral data, the machine learning system may determine latent representations from the content items. In some embodiments, the machine learning system may train a machine-learning model based on the latent representations. Further, the machine learning system may extract features of the content item from the trained machine-learning model. | 2016-12-29 |
20160379133 | REASONING CLASSIFICATION BASED ON FEATURE PERTUBATION - Disclosed herein is a system and method that can be used with any underlying classification technique. The method takes into account both the value of the current feature vector. It is based on evaluating the effect of perturbing each feature by bootstrapping it with the negative samples and measuring the change in the classifier output. To assess the importance of a given feature value in the classified feature vector, a random negatively labeled instance is taken out of the training set and replaces the feature at question with a corresponding feature from this set. Then, by classifying the modified feature vector and comparing its predicted label and classifier output a user is able measure and observe the effect of changing each feature. | 2016-12-29 |
20160379134 | CLUSTER BASED DESKTOP MANAGEMENT SERVICES - Historical data and real-time data are collected for a plurality of computing resources. Based on the collected historical data, typical behavior of the plurality of computing resources is modeled and resulting models are stored in a model repository. With an inference engine, the real-time data is compared to the models. The plurality of computing resources are managed based on the comparing step. | 2016-12-29 |
20160379135 | JUST IN TIME CLASSIFIER TRAINING - Disclosed herein is a system and method that can be used with any underlying classification technique. The method receives a test dataset and determines the features in that test dataset that are present. From these features the training dataset is modified to only have those features that are present in the test dataset. This modified test dataset is then used to calibrate the classifier for the particular incoming data set. The process repeats itself for each different incoming dataset providing a just in time calibration of the classifier. | 2016-12-29 |
20160379136 | Methods and Systems for Automatic Extraction of Behavioral Features from Mobile Applications - An aspect computing device may be configured to perform program analysis operation in response to classifying a behavior as non-benign. The program analysis operation may identify new sequences of API calls or activity patterns that are associated with the identified non-benign behaviors. The computing device may learn new behavior features based on the program analysis operation or update existing behavior features based on the program analysis operation. For example, API sequences observed to occur when a non-benign behavior is recognized may be added to behavior features observed during program analysis operation. | 2016-12-29 |
20160379137 | MACHINE LEARNING CLASSIFICATION ON HARDWARE ACCELERATORS WITH STACKED MEMORY - A method is provided for processing on an acceleration component a machine learning classification model. The machine learning classification model includes a plurality of decision trees, the decision trees including a first amount of decision tree data. The acceleration component includes an acceleration component die and a memory stack disposed in an integrated circuit package. The memory die includes an acceleration component memory having a second amount of memory less than the first amount of decision tree data. The memory stack includes a memory bandwidth greater than about 50 GB/sec and a power efficiency of greater than about 20 MB/sec/mW. The method includes slicing the model into a plurality of model slices, each of the model slices having a third amount of decision tree data less than or equal to the second amount of memory, storing the plurality of model slices on the memory stack, and for each of the model slices, copying the model slice to the acceleration component memory, and processing the model slice using a set of input data on the acceleration component to produce a slice result. | 2016-12-29 |
20160379138 | CLASSIFYING TEST DATA BASED ON A MAXIMUM MARGIN CLASSIFIER - Systems and methods for classifying test data based on maximum margin classifier are described. In one implementation, the method includes obtaining training data having a predefined sample size, wherein the training data is composed of separable data-sets. For the training data, a Vapnik-Chervonenkis (VC) dimension for the training data is determined. For the VC dimension, an exact bound is subsequently determined. The exact bound may be minimized for obtaining the minimum VC classifier for predicting at least one class to which samples of the training data belong. | 2016-12-29 |
20160379139 | ADAPTIVE CLASSIFICATION OF DATA ITEMS - Described are embodiments for adaptive classification of data items which may include receiving a classification training set, the classification training set comprising a set of items associated with classification events made by a group of selected users, each item in the set of items having been designated as belonging to a particular classification by a selected user while manipulating the each item; determining from the classification training set a set of rules which can be used to classify unknown data items such that the classification of the unknown data items is consistent with the manual or automatic classification of the classification training set; adaptively updating the set of rules, according to classifications made to additional data items by additional users; and automatically classifying, based on the set of rules, one or more data items that are manipulated by a second set of one or more users. | 2016-12-29 |
20160379140 | WEIGHT BENEFIT EVALUATOR FOR TRAINING DATA - Technologies are generally described for methods and systems effective to determine a weight benefit associated with application of weights to training data in a machine learning environment. In an example, a device may determine a first function based on the training data, where the training data includes training inputs and training labels. The device may determine a second function based on weighted training data, which is based on application of weights to the training data. The device may determine a third function based on target data, where the target data is generated based on a target function. The target data may include target labels different from the training labels. The device may determine a fourth function based on weighted target data, which is a result of application of weights to the target data. The device may determine the weight benefit based on the first, second, third, and fourth functions. | 2016-12-29 |
20160379141 | METHODS, DEVICES, AND SYSTEMS FOR AUTOMATICALLY DETECTING, TRACKING, AND VALIDATING TRANSIT JOURNEYS - Methods, devices, and systems for automatically detecting, tracking, and validating transit journeys are provided. A transit data processing engine receives sensory data gathered by a plurality of sensors of a mobile device registered for automatic tracking of transit journeys and detects, based on transit data of one or more transit agencies and a first set of the sensory data, a potential transit event with the one or more transit agencies. Based on the transit data and a second set of the sensory data, received subsequently to the first set of the sensory data, the processing engine determines then whether the potential transit event defines a transit journey having a starting point with the one or more transit agencies. If the potential transit event defines the transit journey, the transit data processing engine continues to analyse the sensory data being received to detect an ending point of the transit journey. | 2016-12-29 |
20160379142 | Multiattribute Travel Booking Platform - A method for facilitating travel reservations is presented. The method may commence with receiving a travel related query. Upon receiving the travel related query, an attribute set relevant to the travel related query may be ascertained. The method may continue with parsing the travel related query to derive attribute values related to the attribute set. Upon parsing, at least one attribute of the attribute set may be initiated with the derived attribute values. The method may include ranking the at least one attribute based on user preferences and assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. The method may continue with searching for feasible travel itineraries. The feasible travel itineraries may be scored based on the at least one weighted attribute. At least one travel itinerary selected based on the scoring may be presented to a user. | 2016-12-29 |
20160379143 | SYSTEMS AND METHODS FOR MODELING COMPUTER RESOURCE METRICS - This disclosure relates generally to system modeling, and more particularly to systems and methods for modeling computer resource metrics. In one embodiment, a processor-implemented computer resource metric modeling method is disclosed. The method may include detecting one or more statistical trends in aggregated interaction data for one or more interaction types, and mapping each interaction type to one or more devices facilitating the transactions. The method may further include generating one or more linear regression models of a relationship between device utilization and interaction volume, and calculating one or more diagnostic statistics for the one or more linear regression models. A subset of the linear regression models may be filtered out based on the one or more diagnostic statistics. One or more forecasts may be generated using the remaining linear regression models, using which a report may be generated and provided. | 2016-12-29 |
20160379144 | INFORMATION PROCESSING SYSTEM AND FAILURE PREDICTION MODEL ADOPTION DETERMINING METHOD - An information processing system includes at least one information processing apparatus. The information processing system includes a provisional cost calculator configured to apply failure history information to a failure prediction model to provisionally calculate a cost of the failure prediction model, the failure history information expressing failure history of at least one electronic device in which a failure has occurred, the failure prediction model including a symptom detection method for detecting a symptom of a failure to occur in the electronic device in association with a preventive action for preventing the failure to occur in the electronic device; and an adoption determiner configured to determine to adopt the failure prediction model by which a profit can be obtained, based on a result of the provisional calculation. | 2016-12-29 |
20160379145 | Surveillance Data Based Resource Allocation Analysis - Technologies and implementations for facilitating human resource allocation based, at least in part, on analysis of surveillance data are generally disclosed. | 2016-12-29 |
20160379146 | Integrating a Construction Jobsite System With External Tools - Systems and methods presented herein can allow a user to integrate an existing construction jobsite system with external tools, such as spreadsheet software or a database. An integration platform can allow a user to create, select, and configure plugins that interface with a wrapper on the construction jobsite system to translate procedure calls, files, and data between the construction jobsite system and the external tools. The integration platform may generate execution commands based on the plug in configurations, and the user may cause the execution command to be executed or scheduled for execution. The execution command can facilitate data synchronization between the external tools (e.g., endpoints) and the construction jobsite system, solving a major problem with construction jobsite systems. | 2016-12-29 |
20160379147 | ENERGY INTENSITY VARIABILITY ANALYSIS - A method for reducing energy costs at a facility includes identifying candidate production entities at the facility having a high potential for energy intensity variation reduction, determining potential cost savings associated with reducing energy intensity variation in the candidate production entities, identifying a root cause for energy intensity variation in the candidate production entities, and causing an action to be performed to mitigate the root cause. | 2016-12-29 |
20160379148 | System and Methods for Interest-Driven Business Intelligence Systems with Enhanced Data Pipelines - In accordance with disclosed embodiments of the invention, a business intelligence server system receives telemetry data from an interest-driven business intelligence visualization system. The telemetry data includes an action for manipulating data. The telemetry data for an action is added to current workflow data. The current workflow data includes a sequential list of actions performed on the data. The current workflow data is compared to stored workflow data. One or more possible subsequent actions to perform on the data are determined based upon the comparison of the current workflow data to stored workflow data that includes workflow data for multiple workflows, and provides the one or more possible subsequent actions to perform on the data to the interest-driven business intelligence visualization system. | 2016-12-29 |
20160379149 | SCHEDULE DETERMINATION DEVICE AND SCHEDULE DETERMINATION PROGRAM - A schedule determination device includes an acquisitor, a setter, and a determiner. The acquisitor acquires indexes of an operation schedule of a device and constraint conditions of the indexes. The setter sets a second range, which is narrower than a first range set in the operation schedule before a change, as a range for values of variables that establish constraint conditions of indexes of a new operation schedule. The determiner determines the operation schedule of the device, using the variable values within the second range. | 2016-12-29 |
20160379150 | ORGANIZATION WELL-BEING SNAPSHOT - The present disclosure is directed to an organization well-being “snapshot.” The snapshot comprises a comprehensive set of well-being metrics that have been collected and presented for review. In an example embodiment, metrics are determined for the overall well-being and its dimensions of purpose, belonging, health, and security. Each dimension is subdivided in categories and one or more metrics for each category is defined. Data is collected and metrics are calculated for the categories. Metrics are then aggregated to calculate an overall well-being score for an area within the organization as well the entire organization. Methodologies employed in calculating scores facilitate comparisons between areas within the organization and against an enterprise-wide score. The methodologies further support analysis of trends over time. The snapshot presents well-being metrics clearly and effectively in a manner that increases associate awareness of the organization's well-being status and resources that the organization has made available for associates. | 2016-12-29 |
20160379151 | SYSTEM AND METHOD TO PROVIDE NOTIFICATIONS TO RESOURCES - A computing system to manage one or more communication sessions is disclosed. The computing system includes an input module to receive at least one subscription request from at least one resource, wherein the at least one subscription request comprises a subscription criteria. The system further includes a monitoring module to monitor the one or more communication sessions to generate one or more data metrics based on the subscription criteria. The system further includes a report generation module to analyze the one or more generated data metrics to generate one or more subscription reports. The system further includes a notification module to generate one or more notifications based on the one or more generated subscription reports. | 2016-12-29 |
20160379152 | WASTE MANAGEMENT SYSTEM HAVING UNSCHEDULED STOP MONITORING - A system is disclosed for managing services of a service vehicle. The system may have a locating device configured to generate a first signal indicative of a location of the service vehicle, and at least one sensor configured to generate a second signal indicative of a waste service being completed by the service vehicle. The system may further have a computing device in communication with the locating device and the at least one sensor. The computing device may be configured to receive a route assignment including waste services to be performed by the service vehicle at a plurality of target locations, and to make a determination that the service vehicle has stopped at a non-target location based on the plurality of target locations and at least one of the first and second signals. The computing device may further be configured to selectively generate an electronic response based on the determination. | 2016-12-29 |
20160379153 | COLLECTIVE DYNAMICS - Many factors can affect the operation of a contact center, especially contact centers utilizing human agents. An agent's health may be utilized as a predictor of performance with respect to a particular task. Having sensors to gather health data are provided. The data may then be aggregated into a long-term health trend, which may be determined to indicate that a change in an agent's performance is likely and may allow the contact center to reallocate tasks and/or other resources to accommodate the change in performance to mitigate the effect of the change in the agent's health. Work tasks are then routed to agents accordingly. | 2016-12-29 |
20160379154 | WASTE MANAGEMENT SYSTEM HAVING SERVICE CONFIRMATION - A system is disclosed for managing waste services performed by a service vehicle. The system may have at least one sensor disposed onboard the service vehicle and configured to generate a first signal indicative of a waste service being completed by the service vehicle. The system may also have a computing device in communication with the at least one sensor. The computing device may be configured to determine, based on the second signal, that the waste service has been performed. The computing device may also be configured to selectively generate an electronic response based on performance of the waste service. | 2016-12-29 |
20160379155 | HORSE RACING MANAGEMENT SYSTEM, APPARATUS, AND METHOD - There is disclosed an illuminating device for horse racing management system (HRMS) that stores, manages, tracks and provides data to various stakeholders. The HRMS may be used to provide efficient, secure information among and between different stakeholders based on permission levels and job descriptions. | 2016-12-29 |
20160379156 | Shift Trader Mobile Application - A mobile application allowing peer to peer communications for trading and scheduling of employment scheduling needs. Allows users to post, trade, swap, schedule shifts, sick days, vacation, overtime, and other scheduling needs, in real time, based on a customized profile. | 2016-12-29 |
20160379157 | System and Method for Secure Proximity-Based Signatures for Parcel Delivery - An apparatus, termed a destination validation device (DVD), comprises a sensor configured to sense physical presence of a parcel and to obtain metadata from said parcel; at least one data processor connected with at least one memory storing software instructions that when executed causes the DVD to at least determine from reading the obtained metadata whether a signature is required for delivery of the parcel, and prepare a destination delivery acknowledgement indicating whether said signature is required; and a transmitter configured to communicate the prepared destination delivery acknowledgement external of the DVD. In this manner a delivery service can verify that the parcel is at the physical delivery location. Further details provide for also obtaining the (digital) signature when the metadata indicates it is required for delivery of the parcel. Other embodiments include a method and a computer program product comprised of software instructions on a computer-readable medium. | 2016-12-29 |
20160379158 | Methods And Systems For Data Quality Analysis Of Healthcare Information Systems - Methods, systems, and apparatuses for performing data quality analysis of healthcare information systems are provided. An example of a method includes receiving, via electronic communication with a healthcare organization (HCO) item master database, one or more products available for purchase by the HCO, mapping, using a processor and a set of third-party product data, each of the one or more products to a HCO-agnostic product identifier, identifying at least one duplicate entry within the item master database based at least in part on two or more of the one or more products mapping to the same HCO-agnostic product identifier, generating a user interface indicating the presence of the at least one duplicate entry, and causing the user interface to be provided via a display. | 2016-12-29 |
20160379159 | IMAGE PROCESSING APPARATUS - According to one embodiment, an image processing apparatus includes an acquiring unit, a label specifying unit, an article position information acquiring unit, and an article searching unit. The acquiring unit acquires a photographed image in which a label with information regarding an article is photographed. The label specifying unit identifies the label from the photographed image. The article position information acquiring unit acquires article position information that is associated with the label and which indicates a position of the article by a relative positional relationship with the label. The article searching unit searches if there is an article associated with the label at a position indicated by the article position information. | 2016-12-29 |
20160379160 | COMMUNICATION SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR TRANSFERRING AN ELECTRONIC FILE - A system for providing products to a customer operates with an open purchase order having an acceptable inventory range bounded by a lower and an upper limit for each product supplied to the customer. The system includes a storage unit, a first processing unit that maintains a product inventory count, and a second processing unit that monitors the product inventory count. A system for transferring electronic files includes a first processing unit that stores and transfers the electronic file, generates a pointer associated with the transferred electronic file, generates a reference electronic file and thereafter includes the pointer in the reference electronic file. A second processing unit then displays the reference electronic file. A system for generating composite electronic files includes a first processing unit having composite locations including component electronic files, and generating the composite electronic files when the respective composite location is accessed from a second processing unit. | 2016-12-29 |
20160379161 | MATERIAL HANDLING METHOD - The present disclosure relates to a material handling method of performing by means of an automatic mechanical material handling equipment controlled by a control system at least a first and a second access task for accessing respectively at least a first and at least a second article stored in a material handling storage system, the first and second access tasks having been assigned a first and a second execution priority respectively. The method comprises W controlling the automatic mechanical material handling equipment to perform the first access task having the highest priority; and in parallel to performing the first access task a1) evaluating data indicative of the material handling storage system for determining that a first intermediate task is to be performed, wherein the first intermediate task is required in order to perform by the automatic mechanical material handling equipment the second access task; and a | 2016-12-29 |
20160379162 | Refrigerating Home Deliveries - Deliveries of meal ingredients to a user are made in a crate and retrieval times of the crate are detected, such as by detecting input of a code to the crate or detecting proximity of a mobile device of a user to the crate. Retrieval times are used to train a retrieval model for the user. The amount of refrigerant (e.g. ice) required for subsequent deliveries is estimated based on a period between an expected delivery time and an expected retrieval time determined from the retrieval model as well as expected weather conditions during the period. A pick list for the meal ingredients is output and includes the amount of refrigerant as an item to be retrieved for the delivery. | 2016-12-29 |
20160379163 | SYSTEMS AND METHODS FOR TRACKING SHIPMENTS - An apparatus for tracking a shipment includes an Internet of Things (IoT) gateway that includes a communications link to an IoT infrastructure and a communications link to a number of IoT devices. Each of the IoT devices is disposed proximate to an asset, and include a communications link to the IoT gateway. | 2016-12-29 |
20160379164 | METHOD, TERMINAL AND SERVER FOR AUTOMATICALLY PUSHING DELIVERY INFORMATION AND PROVIDING COLLECTION INFORMATION - Provided is a method, terminal and server for automatically pushing delivery information and a method, terminal and server for providing collection information, wherein the method for automatically pushing delivery information includes: obtaining a courier's current geographical position and a delivery destination; determining whether the delivery destination is within a geo-fencing centering about the courier's current geographical position; and pushing the delivery information to the delivery target customer if the delivery destination is within the geo-fencing centering about the courier's current geographical position. The present application determines whether to automatically push the delivery information to the target customer based on the geo-fencing centering about a courier's current geographical position, by which the delivery target customer is promptly informed of relevant information regarding items prior to receiving the items and thus facilitating more timely communication with the courier on item delivery, and increasing efficiency of items delivery. | 2016-12-29 |
20160379165 | TECHNOLOGIES FOR MANAGING THE SECURITY AND CUSTODY OF ASSETS IN TRANSIT - Technologies for managing the security and custody of assets in transit are described. In some embodiments, the technologies include an IoT gateway that can make intelligent decisions concerning the status of assets over which it has custody, e.g., based on sensor data received from IoT devices associated with those assets. Technologies for managing the transfer of custody of assets between responsible parties (e.g., multiple gateways) are also described. | 2016-12-29 |
20160379166 | IDENTIFYING INVENTORY ITEMS IN A STORAGE FACILITY - Systems and methods for enabling a picker to correctly identify and pick inventory items from a warehouse or storage facility are provided. An exemplary portable picking-assistance device comprises first and second communication devices. The first communication device is configured to electronically receive a first item list including one or more items to be retrieved by an operator from a predetermined storage area. The one or more items may be selected from a plurality of items stored in the predetermined storage area. The second communication device is configured to communicate radio frequency signals to a first radio frequency (RF) tag of a plurality of RF tags. The first RF tag is associated with a first item listed on the first item list. An indication is provided to the operator confirming an identification of the first item to be retrieved by the operator. | 2016-12-29 |
20160379167 | DYNAMIC RESOURCE ALLOCATION AND SCHEDULING - A dynamic resource scheduler receives a first request to schedule a first event at a first location during a first time period and a second request to schedule a second event at a second location. When the dynamic resource scheduler determines that the second location is within a threshold distance of the first location, the dynamic resource scheduler determines and presents a first plurality of selectable time period options for scheduling the second event that includes at least one of the first time period and a second, adjacent time period and schedules the second event during a selected time period. | 2016-12-29 |