23rd week of 2017 patent applcation highlights part 54 |
Patent application number | Title | Published |
20170161569 | SYSTEM AND METHOD OF OBJECT DETECTION - A system and method of object detection are disclosed. In a particular implementation, a method of processing an image includes receiving, at a processor, image data associated with an image of a scene. The scene includes a road region. The method further includes detecting the road region based on the image data and determining a subset of the image data. The subset excludes at least a portion of the image data corresponding to the road region. The method further includes performing an object detection operation on the subset of the image data to detect an object. The object detection operation performed on the subset of the image data is exclusive of the at least a portion of the image data corresponding to the road region. | 2017-06-08 |
20170161570 | VISION-BASED WET ROAD SURFACE CONDITION DETECTION USING TIRE REARWARD SPLASH - A method for determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and captures an image in a downward direction. A region of interest rearward of the wheel of the host vehicle is identified in the captured image by a processor. The region of interest is representative of where rearward splash as generated by the wheel occurs. A determination is made whether precipitation is present in the region of interest by applying a filter to the image. A wet road surface signal is generated in response to the identification of precipitation in the region of interest. | 2017-06-08 |
20170161571 | SNOW COVERED PATH OF TRAVEL SURFACE CONDITION DETECTION - A method for determining a snow covered surface condition of a path of travel. A beam of light is emitted at a surface of the path of travel by a light emitting source. An image of a path of travel surface is captured by an image capture device. The image capture device is mounted on the vehicle and captures an image in a downward direction. The captured image captures the beam of light emitted on the path of travel surface. Analyzing a subsurface scattering of the light generated on the path of travel surface by a processor. A determination is made whether snow is present on the path of travel. A snow covered path of travel surface signal is generated in response to the identification of snow on the path of travel. | 2017-06-08 |
20170161572 | VISION-BASED WET ROAD SURFACE CONDITION DETECTION USING TIRE TRACKS - A method of determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and an image is captured in a downward direction. A region of interest is identified in the captured image by a processor. The region of interest is in a region rearward of a tire of a host vehicle. The region of interest is representative of where a tire track as generated by the tire rotating on the road when the road surface is wet. A determination is made whether water is present in the region of interest as a function of identifying the tire track. A wet road surface signal is generated in response to the identification of water in the region of interest. | 2017-06-08 |
20170161573 | VISION-BASED WET ROAD SURFACE CONDITION DETECTION USING TIRE SIDE SPLASH - A method for determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and captures an image in a downward direction. Identifying in the captured image, by a processor, a region of interest. The region of interest is in a region sideways to a face of the wheel. The region of interest is representative of where sideways splash as generated by the wheel occurs. A determination is made whether water is present in the region of interest. A wet road surface signal is generated in response to the identification of water in the region of interest. | 2017-06-08 |
20170161574 | METHOD FOR DETECTING TARGET OBJECTS IN A SURVEILLANCE REGION - The present application presents methods and apparatuses for detecting target objects in an image sequence of a monitoring region. In some examples, such methods may include adjusting pixel values of images of the image sequence for interference components associated with at least one interfering object, generating the interference components associated with the at least one interfering object that is situated in the monitoring region, searching the image sequence for the target objects based on the adjusted pixel values, detecting a start of a predetermined sequence of motions associated with the interfering object, and computing an instantaneous position of the at least one interfering object during the predetermined sequence of motions, wherein adjusting the pixel values of the images is based upon the instantaneous position. | 2017-06-08 |
20170161575 | APPARATUS DETECTING DRIVING INCAPABILITY STATE OF DRIVER - An apparatus detecting driving incapability state of a driver includes: an inclination detection portion that detects inclination of a head of a driver with respect to a trunk of the driver lower than a neck, based on an image of a driver seat captured by an imaging device mounted on a vehicle; and a posture collapse detection portion that detects the driver is incapable of driving when the inclination of the head detected by the inclination detection portion is greater than a relative inclination threshold during travel of the vehicle. | 2017-06-08 |
20170161576 | APPARATUS DETECTING DRIVING INCAPABILITY STATE OF DRIVER - Apparatus detecting driving incapability state of a driver includes: a head detection portion that successively detects a head portion, which is higher than a neck of the driver, based on an image of a driver's seat captured by an imaging device mounted in a vehicle; and an out-of-frame state detection portion that detects that the driver is incapable of driving, when the head portion detected by the head detection portion is out of a predetermined scope in the image during travelling of the vehicle. | 2017-06-08 |
20170161577 | MOBILE TERMINAL AND METHOD FOR CONTROLLING SAME - The present invention relates to a mobile terminal capable of a new type of user input, comprising: a backside input unit including a plurality of buttons and exposed to the backside of the mobile terminal; a memory for storing relationships between combinations of the plurality of buttons and control instructions of the mobile terminal and biometric information; a sensor unit, arranged on the backside of the mobile terminal and adjacent to the backside input unit, for sensing a user's bio signal; and a control unit for, upon receiving a user input in accordance with a particular combination of the plurality of buttons, controlling the sensor unit to sense the user's bio signal, and authenticating the user using the sensed bio signal and the stored biometric information. | 2017-06-08 |
20170161578 | Methods and Apparatuses for Birefringence Based Biometric Authentication - The invention relates to technologies for eye based biometric authentication. The invention provides methods, apparatuses and computer programs for initiating an action based on characteristics of acquired biometric information. In an embodiment, the invention comprises (i) receiving at least one image comprising an image of at least part of an eye, (ii) determining whether the at least part of an eye has birefringent characteristics, and (iii) initiating a predefined action responsive to (a) the at least part of an eye exhibiting birefringent characteristics that are inconsistent with a predefined set of birefringent characteristics or (b) a determined lack of birefringent characteristics typical of a real eye, wherein the predefined action comprises any one or more of denying biometric enrollment, denying biometric authentication, denying access to a resource, denying a request for unlocking of a resource, or transmitting or recording information identifying a spoof. | 2017-06-08 |
20170161579 | SINGLE-PROCESSOR COMPUTER VISION HARDWARE CONTROL AND APPLICATION EXECUTION - Apparatuses, methods, and systems are presented for reacting to scene-based occurrences. Such an apparatus may comprise dedicated computer vision (CV) computation hardware configured to receive sensor data from a sensor array comprising a plurality of sensor pixels and capable of computing one or more CV features using readings from neighboring sensor pixels of the sensor array. The apparatus may further comprise a first processing unit configured to control operation of the dedicated CV computation hardware. The first processing unit may be further configured to execute one or more application programs and, in conjunction with execution of the one or more application programs, communicate with at least one input/output (I/O) device controller, to effectuate an I/O operation in reaction to an event generated based on operations performed on the one or more computed CV features. | 2017-06-08 |
20170161580 | METHOD AND SYSTEM FOR TEXT-IMAGE ORIENTATION - The current application is directed to a method and system for automatically determining the sense orientation of regions of scanned-document images. In one implementation, the sense-orientation method and system to which the current application is directed employs a relatively small set of orientation characters that occur frequently in printed text. In this implementation, for at least one set of orientation characters, each of two or more different orientations of character-containing subregions within a text-containing region of a scanned-document image are compared to each orientation character in the at least one set of orientation characters in order to determine an orientation for each of the character-containing subregions with respect to a reference orientation of the text-containing region. The determined orientations for the character-containing subregions are then used to determine an overall sense orientation for the text-containing region of the scanned-document image. | 2017-06-08 |
20170161581 | EXPLOITING COLOR FOR LICENSE PLATE RECOGNITION - Methods and systems for exploiting color for object recognition. A color gradient for each pixel in a gradient image of an object can be calculated. The gradient image can be binarized to produce an image having white walls around characters and other structures. A connected component analysis operation can be performed with respect to black regions in the image to determine bounding boxes for characters and other pictorial elements in the image and thereafter identify character candidates from the image utilizing character metrics. Non-character colors can then be eliminated from the image utilizing an outlier rejection. | 2017-06-08 |
20170161582 | IMAGE PROCESSING METHOD, DEVICE AND MEDIUM - An image processing method, device and medium are provided. The method includes: acquiring candidate areas from an image to be processed, each of the candidate areas including a reference target; extracting a predetermined characteristic of each of the candidate areas; calculating an evaluation value of each of the candidate areas according to the predetermined characteristic; and acquiring a snapshot of the image to be processed according to the evaluation values. | 2017-06-08 |
20170161583 | TESTING DEVICE AND METHOD THEREOF - An embodiment of the present disclosure discloses a testing device and a method thereof, wherein the method specifically includes: determining the number of chromatic dispersion pixel points in a target image; wherein the target image is an image generated after being output onto a screen by a preset preprocessing algorithm and passing through a lens, and the preset preprocessing algorithm is used for performing preprocessing on an image in a virtual reality helmet; determining a ratio of the chromatic dispersion pixel points to total pixel points of the target image according to the number of the chromatic dispersion pixel points; and determining a chromatic dispersion degree of the target image according to the ratio. The embodiment of the present disclosure may realize the testing of a preprocessing result of the preprocessing algorithm. | 2017-06-08 |
20170161584 | CLOUD DETECTION ON REMOTE SENSING IMAGERY - A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image. | 2017-06-08 |
20170161585 | SYSTEM AND METHOD FOR INFORMATION IDENTIFICATION - The present invention is to provide a system and a method for information identification to more accurately identify an object and make the process more easily. The system for information identification includes a database that registers information on an object; images the object from a predetermined direction by using the first imaging unit; images the object from a different direction by the second imaging unit; registers information on the object imaged by the first imaging unit in the database; and compares information on the object imaged by the second imaging unit with information registered in the database to identify the object. | 2017-06-08 |
20170161586 | TRAIN TYPE IDENTIFICATION METHOD AND SYSTEM, AND SECURITY INSPECTION METHOD AND SYSTEM - The present disclosure relates to a train type identification method and system, and a security inspection system and system. The train type identification method includes: continuously photographing a to-be-inspected train by using a linearity camera in motion relative to the to-be-inspected train, and generating a plurality of train sub-images; splicing the plurality of train sub-images to acquire a train image of the to-be-inspected train; extracting at least one train characteristic parameter from the train image; comparing the at least one train characteristic parameter with a prestored train type template; and automatically determining a type of the to-be-inspected train based on a comparison result. | 2017-06-08 |
20170161587 | IMAGE DESCRIPTION AND IMAGE RECOGNIZABLE METHOD - Image description and image recognizable method, it contain (a) It obtain an image which possess plural pixels. (b) It determines a starting position in the image. (c) In the image, From the starting point along the trajectory of the former spiral aggregation makes a pixel sampling, and the pixel on the trajectory rank to the former spiral aggregation.(d) the angle increases with the increase of the variance, it forming a the angle of the latter spiral aggregation. From the starting point along a trajectory of the former spiral aggregation makes the pixel sample, and the pixel on the trajectory rank to the former spiral aggregation. (e) It decides how many frequencies the angle variation increase, and repeatedly performs the step (d). After obtaining a plurality of the latter spiral aggregation, the pixel corresponds to the value. (f) It ranks the former spiral aggregation and the latter spiral aggregation. Then, spiral aggregation map will be formed and recorded the every value of the pixel. | 2017-06-08 |
20170161588 | MODEL COMPRESSION IN BINARY CODED IMAGE BASED OBJECT DETECTION - Techniques related to object detection using binary coded images are discussed. Such techniques may include performing object detection based on multiple spatial correlation mappings between a generated binary coded image and a binary coded image based object detection model and nesting look up tables such that binary coded representations are grouped and such groups are associated with confidence values for performing object detection. | 2017-06-08 |
20170161589 | METHOD AND SYSTEM FOR CLASSIFYING IMAGE ELEMENTS - A method, system, and machine-readable medium for classifying an image element as one of a plurality of categories, including assigning the image element based on a ratio between an unoccluded perimeter of the image element and an occluded perimeter of the image element and coding the image element according to a coding scheme associated with the category to which the image element is classified. Exemplary applications include image compression, where categories include image foreground and background layers. | 2017-06-08 |
20170161590 | RECOGNITION OF A 3D MODELED OBJECT FROM A 2D IMAGE - The invention notably relates to a computer-implemented method for recognizing a three-dimensional modeled object from a two-dimensional image. The method comprises providing a first set of two-dimensional images rendered from three-dimensional modeled objects, each two-dimensional image of the first set being associated to a label; providing a second set of two-dimensional images not rendered from three-dimensional objects, each two-dimensional image of the second set being associated to a label; training a model on both first and second sets; providing a similarity metric; submitting a two-dimensional image depicting at least one object; and retrieving a three-dimensional object similar to the said at least one object of the two-dimensional image submitted by using the trained model and the similarity metric. | 2017-06-08 |
20170161591 | SYSTEM AND METHOD FOR DEEP-LEARNING BASED OBJECT TRACKING - According to various embodiments, a method for deep-learning based object tracking by a neural network is provided. The method comprises a training mode and an inference mode. In the training mode, the method includes: passing a dataset into the neural network, the dataset including a first image frame and a second image frame; and training the neural network to accurately output a similarity measure for the first and second image frames. In the inference mode, the method includes: passing a plurality of image frames into the neural network, wherein the plurality of image frames is not part of the dataset, the plurality of image frames comprising a first image frame and a second image frame, the first image frame including a first bounding box around an object and the second image frame including a second bounding box around an object; and automatically determining whether the object bounded by the first bounding box is the same object as the object bounded by the second bounding box. | 2017-06-08 |
20170161592 | SYSTEM AND METHOD FOR OBJECT DETECTION DATASET APPLICATION FOR DEEP-LEARNING ALGORITHM TRAINING - According to various embodiments, a method for neural network dataset enhancement is provided. The method comprises taking a first picture using a fixed camera of just a set background, then taking a second picture with the fixed camera. The second picture is taken with the set background and an object of interest in the picture frame. The method further comprises extracting pixels of the image of the object of interest from the second picture, and superimposing the pixels of the image of the object of interest onto a plurality of different images. | 2017-06-08 |
20170161593 | OPTICALLY ACTIVE MATERIALS AND ARTICLES AND SYSTEMS IN WHICH THEY MAY BE USED - The inventors of the present application developed novel optically active materials, methods, and articles. One embodiment of the present application is an optically active article, comprising: an infrared-reflecting material positioned adjacent to an optically active substrate such that the infrared-reflecting material forms a pattern that can be read by an infrared sensor when the optically active substrate is illuminated by an infrared light source. Another embodiment of the present application relates to a method of manufacturing an optically active article, comprising: obtaining an optically active sheeting; and positioning an infrared-reflecting material on the optically active sheeting to form a pattern. The optically active article may be, for example, a license plate. | 2017-06-08 |
20170161594 | PAGE-WIDE ARRAY PRINTING - A method in a page-wide array printing apparatus comprising at least first and second printing dies that overlap in a page width direction comprises the steps of calibrating the printing apparatus in a media advance direction to a higher resolution than the page width direction, the media advance direction being perpendicular to the page width direction, and using printing masks to control the operation of a plurality of nozzles in an overlap area between the first and second printing dies to reduce any visible defects caused by dot placement errors in the page width direction. | 2017-06-08 |
20170161595 | DIRECT CHARACTER RECOGNITION FROM PAGE DESCRIPTION LANGUAGE DOCUMENT - A method for extracting text from a page description language (“PDL”) document includes capturing a PDL file generated by a print driver for a printed document. The PDL file contains a set of drawing instructions for drawing a run of text formed from a series of glyphs. The PDL file is parsed to extract the drawing instructions of each glyph. The glyph drawing instructions are compared with a database of glyph characteristics. When a match is found between the drawing instructions and the database of glyph characteristics a corresponding text character associated with that set of characteristics is extracted. Where no match is found, the drawing instructions may be rendered as a bitmap and features extracted from the bitmap are compared with stored features to identify a glyph with similar features, or if there is none, an error may be recorded. A text summary may be generated. | 2017-06-08 |
20170161596 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - Provided is an image processing apparatus including an image data obtaining unit that obtains image data of an original document including plural pages, a feature amount obtaining unit that obtains a predetermined feature amount for each of the pages based on the obtained image data, a detection unit that compares a feature amount of one page on which identification information for dividing the plural pages in units of pages is formed with a feature amount of the other pages and detects the identification information on a page having a feature amount similar to a feature amount of the one page from among the other pages, and a division unit that divides the plural pages in units of pages based on the detected identification information. | 2017-06-08 |
20170161597 | POWER CONSERVATION IN AN IMAGE FORMING APPARATUS BY DELAYING ACTIVATION OF A PRINTING DRUM - A method for minimizing power consumption of a laser printer includes receiving page description language (PDL) data corresponding to a printing task, identifying commands corresponding to the received PDL data, computing a total predicted rendering time corresponding to the identified commands, computing a print deferral time according to the total predicted rendering time wherein the print deferral time corresponds to an amount of time by which printing drum initialization can be deferred without delaying completion of the printing task, and configuring a printing drum to begin operation according to the print deferral time. A computer program product and computer system corresponding to the method are also disclosed. | 2017-06-08 |
20170161598 | BAR CODE COPY PREVENTION METHOD AND DEVICE THEREFOR - The present invention relates to a bar code copy prevention method and a device therefor. In detail, when a terminal provides a one-time bar code for an electronic payment, the one-time bar code is provided to a user in a state which a bar code scanner cannot recognize by changing the one-time bar code for the electronic payment, and when the bar code scanner exposes a light source in order to recognize the one-time bar code for the electronic payment, a light source recognition module installed in the terminal recognizes the light source of the bar code scanner, a payment may be performed by recovering an original bar code which the bar code scanner can recognize from the changed bar code, and thus an illegal use of the bar code may be prevented since the payment is not performed using the captured bar code. | 2017-06-08 |
20170161599 | COPY AND PASTE WITH SCANNABLE CODE - A scannable code is used to facilitate copy and paste of content, wherein the content is serialized and encoded directly into the scannable code along with context information. When the scannable code is decoded, the content is pasted into a desired location in a manner that is consistent with the content information. | 2017-06-08 |
20170161600 | CARD, AN ASSEMBLY, A METHOD OF ASSEMBLING THE CARD AND A METHOD OF OUTPUTTING INFORMATION - A card configured to output an magnetic field on or at a surface thereof, the card comprising an elongated magnetically conducting material on or at the surface of the card, the magnetically conducting material having a first and a second guide ends, and a field generator positioned so as to feed a magnetic field into the magnetically conducting material. The magnetically conducting material is positioned at the position where the reading head travels and forms a return path for the field generated by the field generator, whereby field from the generator is fed to the reading head via the magnetically conducting material. | 2017-06-08 |
20170161601 | SELF ADHESIVE LABEL AND RFID INLAY - A self-adhesive label incorporating embedded trigger technology, such as an RFID inlay is disclosed. The label is manufactured of a rigid polyester, cardstock, paper, or other material that allows the label to be partially folded on itself. The sticky section of the label that is left out is then stuck to whatever packaging or product is to be labeled. Specifically, the self-adhesive label comprises a hole for hanging the label on a display rack. The RFID inlay is incorporated around the hole of the label and secured within the fold of the label when the label is partially folded on itself. | 2017-06-08 |
20170161602 | DATA COLLECTING DEVICE AND OPTICAL TRANSMISSION SYSTEM - A data collecting device includes a receiver configured to receive an optical signal; an optical-to-electrical converter configured to convert the optical signal received by the receiver into an electrical signal; an analog-to-digital converter configured to convert the electrical signal into a digital signal; a data reducing circuit configured to reduce the digital signal output from the analog-to-digital converter; and a transmitter configured to transmit, to a managing device that manages the data collecting device, a signal obtained by reducing the digital signal by the data reducing circuit. | 2017-06-08 |
20170161603 | LEARNING DEVICE UNIT - [Problem] To provide a learning device for performing more efficient machine learning. | 2017-06-08 |
20170161604 | Determining Orders of Execution of a Neural Network - Systems and methods are provided for determining an order of execution of a neural network. For instance, data indicative of a neural network and data indicative of an amount of available memory in a constrained memory space can be obtained. The neural network can include a plurality of operators. An order of execution associated with the neural network can then be determined. The order of execution specifies an order in which to execute each of the plurality of operators. The order of execution is determined based at least in part on the available memory in the constrained memory space. In particular, one or more graph search algorithms can be performed on a graph that is representative of the neural network to obtain the order of execution. | 2017-06-08 |
20170161605 | SPACE-EFFICIENT DYNAMIC ADDRESSING IN VERY LARGE SPARSE NETWORKS - A connectivity look up structure is maintained for a network that comprises a plurality of nodes, each node is connectable to one or more other nodes, and nodes that are connected tend to be local to one another in the network, and the number of node connections in the network tends to be sparse in relation to the number of potential node connections in the network. The connectivity look up structure stores, for a given node, an address of each other node that is connected to the given node, wherein the stored address for the other node is represented as a run-length encoded difference between a full network address of the given node and a full network address of the other node. | 2017-06-08 |
20170161606 | CLUSTERING METHOD BASED ON ITERATIONS OF NEURAL NETWORKS - The present invention relates to a clustering method based on iterations of neural networks, which comprises the following steps: step 1, initializing parameters of an extreme learning machine; step 2, randomly choosing samples of which number is equal to the number of clusters, each sample representing one cluster, forming an initial exemplar set and training the extreme learning machine; step 3, using current extreme learning machine to cluster samples, which generates a clustering result; step 4, choosing multiple samples from each cluster as exemplars for the cluster according to a rule; step 5, retraining the extreme learning machine by using the exemplars for each cluster obtained from step 4; and step 6, going back to step 3 to do iteration, otherwise obtaining and outputting clustering result until clustering result is steady or a maximal limit of the number of iterations is reached. The present invention resolves problems that how to realize clustering of high dimensional and nonlinear data space and that the prior art consumes a larger memory or need longer running time. | 2017-06-08 |
20170161607 | SYSTEM AND METHOD FOR IMPROVED GESTURE RECOGNITION USING NEURAL NETWORKS - According to various embodiments, a method for gesture recognition using a neural network is provided. The method comprises a training mode and an inference mode. In the training mode, the method includes: passing a dataset into the neural network; and training the neural network to recognize a gesture of interest, wherein the neural network includes a convolution-nonlinearity step and a recurrent step. The inference mode, the method includes: passing a series of images into the neural network, wherein the series of images is not part of the dataset; and recognizing the gesture of interest in the series of images. | 2017-06-08 |
20170161608 | METHOD AND SYSTEM FOR JOINT TRAINING OF HYBRID NEURAL NETWORKS FOR ACOUSTIC MODELING IN AUTOMATIC SPEECH RECOGNITION - Systems and methods for training networks are provided. A method for training networks comprises receiving an input from each of a plurality of neural networks differing from each other in at least one of architecture, input modality, and feature type, connecting the plurality of neural networks through a common output layer, or through one or more common hidden layers and a common output layer to result in a joint network, and training the joint network. | 2017-06-08 |
20170161609 | Data neural network system and method - This application discloses a neural network that also functions as a packet data network using an MPLS-type label switching technology. The neural network uses its intelligence to build and manage label switched paths (LSPs) to transport user packets and solve complex mathematical problems. This architecture is well suited to interconnect large numbers of processors or computers into a neural network exhibiting advanced intelligence which can be used for complex activities such as managing the power grid. However, the methods taught here can be applied to other data networks including ad-hoc, mobile, Information Centric, Content Centric, Sensor, and traditional IP packet networks, cell or frame-switched networks, time-slot networks and the like. | 2017-06-08 |
20170161610 | OPERATION OF A COMPUTER BASED ON OPTIMAL PROBLEM SOLUTIONS - A processor-implemented method, system, and/or computer program product improves operation of a computer. One or more processors receive a question from a user of a computer, which requests a solution to improve operations of the computer. Based on an interpretation derived from the context of the request, the processor(s) retrieve multiple child solution instances to the question, where the multiple child solution instances are derived from a parent solution instance. The processor(s) direct the computer to simultaneously display the multiple child solution instances on the computer, and then receive a selected child solution instance from the user. In response to receiving the selected child solution instance, the processor(s): discard other solution instances from the multiple child solution instances; designate the selected child solution instance as a primary solution instance; and store the primary solution instance. The processor(s) then direct execution of the primary solution instance. | 2017-06-08 |
20170161611 | VARIABLE-SIZE PROBLEM SOLVING WITH SYSTOLIC ARRAYS - Methods and systems for refactoring a problem include refactoring an original problem having a dimension that cannot be broken into an integer number of portions, each portion having a number of problem elements equal to a size of a systolic array, into a new problem having a dimension that can be broken into an integer number of portions, each portion having a number of problem elements equal to the size of the systolic array. The new problem is solved with the systolic array. The systolic array has a size defined by an integer number of processing elements and is configured to solve portions of problems having a number of problem elements equal to the number of processing elements. | 2017-06-08 |
20170161612 | Partial Reinitialization for Optimizers - In some examples, techniques and architectures for solving combinatorial optimization or statistical sampling problems use a recursive hierarchical approach that involves reinitializing various subsets of a set of variables. The entire set of variables may correspond to a first level of a hierarchy. In individual steps of the recursive process of solving an optimization problem, the set of variables may be partitioned into subsets corresponding to higher-order levels of the hierarchy, such as a second level, a third level, and so on. Variables of individual subsets may be randomly initialized. Based on the objective function, a combinatorial optimization operation may be performed on the individual subsets to modify variables of the individual subsets. Reinitializing subsets of variables instead of reinitializing the entire set of variables may allow for preservation of information gained in previous combinatorial optimization operations. | 2017-06-08 |
20170161613 | MODEL STACKS FOR AUTOMATICALLY CLASSIFYING DATA RECORDS IMPORTED FROM BIG DATA AND/OR OTHER SOURCES, ASSOCIATED SYSTEMS, AND/OR METHODS - Certain example embodiments described herein relate to techniques for managing “bad” or “imperfect” data being imported into a database system. That is, certain example embodiments provide a lifecycle technology solution that helps receive data from a variety of different data sources of a variety of known and/or unknown formats, standardize it, fit it to a known taxonomy through model-assisted classification, store it to a database in a manner that is consistent with the taxonomy, and allow it to be queried for a variety of different usages. Some or all of the disclosed technology concerning auto-classification, enrichment, clustering model and model stacks, and/or the like, may be used in these and/or other regards. | 2017-06-08 |
20170161614 | SYSTEMS AND METHODS FOR PREDICTING EMERGENCY SITUATIONS - Disclosed are systems and methods for predicting emergency situations. In some embodiments, the systems and methods may generate risk predictions for specific types of emergencies, in a geographic area within a time frame. Disclosed are systems and methods that may send warnings or messages of elevated risk of emergency to subjects and emergency service providers. | 2017-06-08 |
20170161615 | SIGNIFICANCE OF RELATIONSHIPS DISCOVERED IN A CORPUS - Certain relationships representing material insights are identified from among a set of discovered relationships. Cognitive discovery of relationships in a knowledge base, or corpus, are ranked according to one or more metrics indicative of material insights, including recentness and degree of alignment. | 2017-06-08 |
20170161616 | ATHLETIC FEEDBACK MECHANISM - A method is described to facilitate athletic feedback. The method includes identifying a route that is to be taken during a user workout, performing predictive analysis of the route and providing real-time feedback to a user based on the predictive analysis. | 2017-06-08 |
20170161617 | DISEASE PREDICTION AND PREVENTION USING CROWDSOURCED REPORTS OF ENVIRONMENTAL CONDITIONS - Embodiments of the invention provide techniques which utilize crowdsourced reports of environmental conditions to predict and/or prevent disease outbreaks. In one aspect, a method comprises receiving one or more crowdsourced reports about one or more environmental conditions; inferring one or more input parameters for at least one disease outbreak model based at least in part on the one or more crowdsourced reports; applying the at least one disease outbreak model to at least the one or more inferred parameters to predict one or more characteristics of at least one potential disease outbreak associated with the reported one or more environmental conditions; and, based at least in part on the predicted one or more characteristics, implementing one or more corrective actions to mitigate the at least one potential disease outbreak. | 2017-06-08 |
20170161618 | ATTRIBUTE WEIGHTING FOR MEDIA CONTENT-BASED RECOMMENDATION - Techniques are disclosed for automatically assigning weights to attributes of media content based in part on how many users actually viewed or listened to the content, as well as how many users “liked” or otherwise indicated a preference for the content. The content items can be any type of audio or visual media content, such as songs, videos, or movies, as well as written content, such as books, articles, journals, advertisements, or magazines. A first similarity score is determined based on a similarity between user preferences for content items. A second similarity score is determined based on a similarity between one or more common attributes of the content items. These attributes are assigned ratings that represent the number of users who consumed the corresponding content. Next, weights are assigned to each of the attributes based on the first and second similarity scores using, for example, linear equation regression techniques. | 2017-06-08 |
20170161619 | Concept-Based Navigation - A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of the vector representations of a first concept set of candidate concepts and a second concept set of user-explored concepts to determine a similarity measure corresponding to each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the one or more user-explored concepts from the navigation history for the user based on the similarity measure for each candidate concept. | 2017-06-08 |
20170161620 | DETERMINING A MINIMAL EXPLANATION - A method, computer program product and system for determining a minimal explanation. A model comprising a plurality of constraints is received. An output for the model is determined and a subset of the constraints that provide the same output for the model is constructed. The construction includes determining a first constraint that forms part of the subset of the constraints, testing the constraint(s) that form the subset of the constraints to determine if the subset of constraints provides the same output for the model, selecting a further constraint that has a variable in common with at least one constraint in the subset of constraints, and repeating the testing of the constraint(s) and the selecting of the further constraint until the testing of the constraint(s) that form the subset of the constraints determines that the subset of the constraints does provide the same output for the model. | 2017-06-08 |
20170161621 | Computer Architecture and Method for Modifying Intake Data Set Based on a Predictive Model - Disclosed herein is a computer architecture and software that is configured to modify data intake operation at an asset-monitoring system based on a predictive model. In accordance with the present disclosure, the asset-monitoring system may execute a predictive model that outputs an indicator of whether at least one event from a group of events (e.g., a failure event) is likely to occur at a given asset within a given period of time in the future. Based on the output of this predictive model, the asset-monitoring system may modify one or more operating parameters for ingesting data from the given asset, such as a storage location for the ingested data, a set of data variables from the asset that are ingested, and/or a rate at which data from the asset is ingested. | 2017-06-08 |
20170161622 | SYSTEM AND METHOD FOR PREDICTING REMAINING USEFUL LIFE OF COMPONENT OF EQUIPMENT - A system and a method for predicting a remaining useful life (RUL) of a component of an equipment are provided. The system for predicting the RUL of the component of the equipment includes a data acquisition unit, a feature capturing unit, a mapping function generating unit, a similarity analyzing unit and a RUL calculating unit. The feature capturing unit obtains an estimation feature according to a real time sensing record, and obtains a plurality of training features according to a set of history sensing records. The similarity analyzing unit obtains k similar features which are similar to the estimation feature according to the training features. The RUL calculating unit obtains at least one of k predicting information via a mapping function according to the k similar features and calculates an estimation RUL according to at least one predicting value. | 2017-06-08 |
20170161623 | METHOD AND APPARATUS FOR PREDICTING THE TEMPORAL COURSE OF A POWER REQUIREMENT IN A HOUSING DEVELOPMENT - The present invention provides a method and an apparatus for predicting the temporal course of a power requirement in a housing development comprising one or a plurality of housing units each comprising a plurality of power consumers, the housing development having a common power supply that is subject to a temporally variable tariff. The method is designed such that a prediction of the power consumption ( | 2017-06-08 |
20170161624 | SYSTEM AND METHOD FOR INTELLIGENT RESOURCE RANKING AND RETRIEVAL - A computer-implemented machine-learning method and system for searching for resources by predicting an intention and pushing resources directly to users based on the predicted intention. The method includes receiving a description of a context; generating a set of weighted expressions, each weighed expression comprising a restriction over the description of the context and a confidence factor resulting between the combination of the user model and of the query input; and generating a sorted list of resources matching the weighted list of expressions. The system includes computer instructions for an intention inference engine and an intelligent ranking engine. | 2017-06-08 |
20170161625 | INTEGRATIVE SOFTWARE SYSTEM, DEVICE, AND METHOD - A non-transitory computer readable medium for storing one or more sequences of one or more instructions for execution by one or more processors in a processing system to perform a method for determining a dichotomy for a parametric decision process, the instructions when executed by the one or more processors are presented. Embodiments can be configured to define a network having a plurality of members as inter-member coherency coupling represented by elements of a coherency matrix, wherein for each i | 2017-06-08 |
20170161626 | Testing Procedures for Sequential Processes with Delayed Observations - A method for determining a policy that considers observations delayed at runtime is disclosed. The method includes constructing a model of a stochastic decision process that receives delayed observations at run time, wherein the stochastic decision process is executed by an agent, finding an agent policy according to a measure of an expected total reward of a plurality of agent actions within the stochastic decision process over a given time horizon, and bounding an error of the agent policy according to an observation delay of the received delayed observations. | 2017-06-08 |
20170161627 | FORECASTING FIELD LEVEL CROP YIELD DURING A GROWING SEASON - A method for predicting field specific crop yield recommendations for a field may be accomplished using a server computer system that is configured and programmed to receive over a digital communication network, electronic digital data representing agricultural data records, including remotely sensed spectral property of plant records and soil moisture records. Using digitally programmed data record aggregation instructions, the computer system is programmed to receive digital data representing including remotely sensed spectral property of plant records and soil moisture records. Using the digitally programmed data record aggregation instructions, the computer system is programmed to aggregate the one or more digital agricultural records to create and store, in computer memory, one or more geo-specific time series over a specified time. Using the digitally programmed data record aggregation instructions, the computer system is programmed to select one or more representative features from the one or more geo-specific time series and create, for each specific geographic area, a covariate matrix in computer memory comprising the representative features selected from the one or more geo-specific time series. Using mixture linear regression instructions, the computer system is programmed to assign a probability value to a component group in a set of parameter component groups, where each component group within the set of parameter component groups includes one or more regression coefficients calculated from a probability distribution and an error term calculated from a probability distribution. Using distribution generation instructions, the computer system is programmed to generate the probability distributions used to determine the one or more regression coefficients and the error term, the probability distribution used to generate the error term is defined with a mean parameter set at zero and a variance parameter set to a field specific bias coefficient. | 2017-06-08 |
20170161628 | MAINTENANCE PERIOD DETERMINATION DEVICE, DETERIORATION ESTIMATION SYSTEM, DETERIORATION ESTIMATION METHOD, AND RECORDING MEDIUM - An estimation data input unit | 2017-06-08 |
20170161629 | METHOD AND SYSTEM FOR DETECTING EMOTIONS BASED ON TYPING BEHAVIOUR - The present disclosure generally relates to analysis and detection of human emotions, and more particularly, to a method and system for detection of human emotion based on an individual's typing behavior. In one embodiment, the method comprises of receiving typing data of the individual for a specified amount of time, processing the received data to extract hand speed and key-press duration for the individual and analyzing the hand speed and key-press duration to detect probable emotional states the individual has experienced for the specified amount of time. | 2017-06-08 |
20170161630 | LIGHTING INFRASTRUCTURE AND REVENUE MODEL - In one example, a computing device is configured to process data received in relation in relation to a lighting infrastructure application framework. An example computing device comprises a memory and a processor coupled to the memory configured with processor-executable instructions to perform operations comprising: receiving data reported by a plurality of lighting node platform devices within the lighting infrastructure application framework; processing the received data by at least one of analyzing or aggregating the received data; detecting an occurrence of at least one of a plurality of predefined events based on the processing of the data; identifying a trend within the received data based on the processing of the data; and predicting an event in advance based on the processing of the data. | 2017-06-08 |
20170161631 | SYSTEMS AND METHODS FOR UPDATING RECOMMENDATIONS ON A USER INTERFACE IN REAL-TIME BASED ON USER SELECTION OF RECOMMENDATIONS PROVIDED VIA THE USER INTERFACE - In certain implementations, a user request to add a new concept may be received. A set of media item recommendations may be caused to be loaded on a user interface for presentation to a user responsive to the user request to add the new concept. The media item recommendation set may include a set of recommendations loaded on an on-screen portion of the user interface and a set of recommendations loaded on an off-screen portion of the user interface. The on-screen user interface portion is visible to the user at a first time. The off-screen user interface portion is not being visible to the user at the first time. A user selection of one or more recommendations of the on-screen recommendation set is received. The off-screen recommendation set may be caused to be updated on the user interface during the presentation of the media item recommendation set based on the user recommendation selection. | 2017-06-08 |
20170161632 | MEASUREMENT-ONLY TOPOLOGICAL QUANTUM COMPUTATION - Measurement-only topological quantum computation using both projective and interferometrical measurement of topological charge is described. Various issues that would arise when realizing it in fractional quantum Hall systems are discussed. | 2017-06-08 |
20170161633 | TRANSDUCTIVE ADAPTATION OF CLASSIFIERS WITHOUT SOURCE DATA - A classification method includes receiving a collection of samples, each sample comprising a multidimensional feature representation. A class label prediction for each sample in the collection is generated with one or more pretrained classifiers. For at least one iteration, each multidimensional feature representation is augmented with a respective class label prediction to form an augmented representation, a set of corrupted samples is generated from the augmented representations, and a transformation that minimizes a reconstruction error for the set of corrupted samples is learned. An adapted class label prediction for at least one of the samples in the collection is generated using the learned transformation and information is output, based on the adapted class label prediction. The method is useful in predicting labels for target samples where there is no access to source domain samples that are used to train the classifier and no access to target domain training data. | 2017-06-08 |
20170161634 | USING A PLURALITY OF HETEROGENEOUS DECISION ENGINES TO PRODUCE A SINGLE DECISION - A method for using a plurality of decision engines to produce a single decision comprises: receiving heterogeneous data from the plurality of decision engines comprising a set of class labels from each of the plurality of decision engines, wherein the set of class labels from at least a first decision engine differs from the set of class labels from at least a second decision engine; generating a single set of unified class labels from the heterogeneous data; calculating at least one value corresponding to each of at least a subset of the unified class labels; and performing decision fusion on at least the subset of the unified class labels and corresponding values to produce the single decision. | 2017-06-08 |
20170161635 | GENERATIVE MACHINE LEARNING SYSTEMS FOR DRUG DESIGN - In various embodiments, the systems and methods described herein relate to generative models. The generative models may be trained using machine learning approaches, with training sets comprising chemical compounds and biological or chemical information that relate to the chemical compounds. Deep learning architectures may be used. In various embodiments, the generative models are used to generate chemical compounds that have desired characteristics, e.g. activity against a selected target. The generative models may be used to generate chemical compounds that satisfy multiple requirements. | 2017-06-08 |
20170161636 | BEHAVIOR ANALYSIS LEARNING SYSTEM BASED THEREON AND METHOD - A learning system based on behavior analysis includes a plurality of collecting terminals and a server coupled to the plurality of collecting terminals. The server obtains at least one related group within the plurality of data-collecting terminals and information as to user demands relevant to the at least one related group. The demands information is analyzed to determine a triggering event and a corresponding triggering result and the system monitors whether information collected by a collecting terminal is in accord with a triggering event. A triggering result corresponding to the trigger event is executed when the information collected by a collecting terminal is in accord with the triggering event. A behavior analysis learning method is also provided. | 2017-06-08 |
20170161637 | FEATURE EXTRACTION FOR MACHINE LEARNING - A device may receive a first command, included in a set of commands, to set a configuration parameter associated with performing feature extraction. The device may receive a second command, included in the set of commands, to set a corresponding value for the configuration parameter. The configuration parameter and the corresponding value may correspond to a particular feature metric that is to be extracted. The device may configure, based on the configuration parameter and the corresponding value, feature extraction for a corpus of documents. The device may perform, based on configuring feature extraction for the corpus, feature extraction on the corpus to determine the particular feature metric. The device may generate a feature vector based on performing the feature extraction. The feature vector may include the particular feature metric. The feature vector may include a feature identifier identifying the particular feature metric. The device may provide the feature vector. | 2017-06-08 |
20170161638 | GENERIC PROBABILISTIC APPROXIMATE COMPUTATIONAL INFERENCE MODEL FOR STREAMING DATA PROCESSING - A generic online, probabilistic, approximate computational inference model for learning-based data processing is presented. The model includes detection, feature production and classification steps. It employs Bayesian Probabilistic Models (BPMs) to characterize complex real-world behaviors under uncertainty. The BPM learning is incremental. Online learning enables BPM adaptation to new data. The available data drives BPM complexity (e.g., number of states) accommodating spatial and temporal ambiguities, occlusions, environmental clutter, and large inter-domain data variability. Generic Sequential Bayesian Inference (GSBI) efficiently operates over BPMs to process streaming or forensic data. Deep Belief Networks (DBNs) learn feature representations from data. Examples include model applications for streaming imagery (e.g., video) and automatic target recognition (ATR). | 2017-06-08 |
20170161639 | METHOD AND APPARATUS FOR RECOMMENDATION BY APPLYING EFFICIENT ADAPTIVE MATRIX FACTORIZATION - A method, apparatus and computer-readable storage medium for determining one or more recommendations by applying efficient adaptive matrix factorization are disclosed. The method comprises causing, at least in part, an iterative performing of the following steps: a using of a current data set to optimize parameters used to adapt a current matrix factorization model by the end of the current time period, and a training of a current matrix factorization model and the current data set by the end of the current time period, based on the optimized parameters, to obtain an adapted matrix factorization model for service in a next time period. | 2017-06-08 |
20170161640 | REGULARIZATION OF MACHINE LEARNING MODELS - Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for regularizing feature weights maintained by a machine learning model. The method includes actions of obtaining a set of training data that includes multiple training feature vectors, and training the machine learning model on each of the training feature vectors, comprising, for each feature vector and for each of a plurality of the features of the feature vector: determining a first loss for the feature vector with the feature, determining a second loss for the feature vector without the feature, and updating a current benefit score for the feature using the first loss and the second loss, wherein the benefit score for the feature is indicative of the usefulness of the feature in generating accurate predicted outcomes for training feature vectors. | 2017-06-08 |
20170161641 | STREAMLINED ANALYTIC MODEL TRAINING AND SCORING SYSTEM - A computing device creates a state of an analytic model. An analytic engine of an analytic model of an analytic model type is initialized. The analytic model is trained using a dataset and the analytic engine. A request to save a state of the analytic model is received. In response to receipt of the third indicator, the state of the trained analytic model is serialized. The state includes a reentry point name of a function of the analytic model type called to instantiate the trained analytic model. The serialized state is written to an output file. The written state is read from the output file. The state of the trained analytic model is restored using the read state. An analytic result is computed based on data in a second dataset different from the named dataset using the restored state of the trained analytic model. The computed analytic result is output. | 2017-06-08 |
20170161642 | INFERRING PERIODS OF NON-USE OF A WEARABLE DEVICE - A wearable computing device is described that predicts, based on movement detected, over time, by the wearable computing device, one or more future periods of time during which the wearable computing device will not be used. Responsive to determining that the wearable computing device is not being used at a current time, the wearable computing device determines whether the current time coincides with at least one period of time from the one or more future periods of time. Responsive to determining that the current time coincides with the at least one period of time, the wearable computing device performs an operation. | 2017-06-08 |
20170161643 | MACHINE LEARNING CLASSIFIER - A machine learning classifier system includes a data set processing subsystem to generate a training set and a validation set from multiple data sources. Classifier hardware induces a classifier according to the training set, and tests the classifier according to the validation set. A buffer connected to the classifier hardware stores data objects to be classified, and a register connected to the classifier hardware stores outputs of the classifier, including classified data objects. | 2017-06-08 |
20170161644 | MEDIA RECOMMENDATION USING INTERNET MEDIA STREAM MODELING - Media item recommendations, such as music track recommendations, may be made using one or more models generated using data collected from a plurality of media stream sources, such as, for example, Internet radio stations. In an initial, bootstrapping phase, data about media items and media stream playlists of media stream sources may be used to generate a model, which comprises latent factor vectors, or learned profiles, of media items, e.g., tracks, artists, etc. Such a bootstrapping phase may be performed without user data, such as user playlists and/or user feedback, to generate a model that may be used to make media item recommendations. As user data becomes available, e.g., as users of a recommendation service provide user data, the user data may be used to supplement and/or update the model and/or to create user profiles. | 2017-06-08 |
20170161645 | METHOD AND APPARATUS FOR LABELING TRAINING SAMPLES - Provided in the present invention are a method and apparatus for labeling training samples. In the embodiments of the present invention, two mutually independent classifiers, i.e. a first classifier and a second classifier, are used to perform collaborative forecasting on M unlabeled first training samples to obtain some of the labeled first training samples, without the need for the participation of operators; the operation is simple and the accuracy is high, thereby improving the efficiency and reliability of labeling training samples. | 2017-06-08 |
20170161646 | RELOCATION OF USERS BASED ON USER PREFERENCES - Computer implemented methods and systems to recommend a relocation of a user based on user preferences including receiving, by a processor, user information including at least one user-define threshold related to one or more environmental characteristics and a user's location, receiving environmental data from one or more sensors related to the user's location, the environmental data related to the one or more environmental characteristics, determining the environmental data exceeds the at least one user-defined threshold, and generating a relocation recommendation to indicate a recommended location different from the user's location. | 2017-06-08 |
20170161647 | System and Method for Managing and Prioritizing Venue Performance Holds - A system and method for prioritizing venue performance hold requests is provided. The method includes providing a holds management; receiving on the holds management database at least a first venue hold request transmission including data related to requested hold dates at a particular venue and an identity of a touring act; identifying with the processor hold dates and an identity of the touring act from the hold request transmission; storing the one or more requested hold dates and touring act identity on the holds management database; assigning each of the requested hold dates a hold priority position for the requested hold date; and grouping each of the prioritized requested hold dates on the database with the stored identity of the requesting touring act such that each of the prioritized requested hold dates is associated with the identity of the touring act of the hold request transmission. | 2017-06-08 |
20170161648 | Lodging Room Price Optimization - A room price optimization method, comprising receiving by a system server at least one room offer request for a plurality of nights from a user; splitting by the system server the at least one room offer request into a plurality of separate requests, sending by the system server the plurality of separate requests to each of at least two suppliers' systems, receiving by the system server from each of the at least two suppliers' systems an offer for each of the plurality of separate requests and finding a lowest price combination out of the plurality of separate offers to satisfy the room offer request. | 2017-06-08 |
20170161649 | INSTANT RENTAL SERVICE RESERVATION SYSTEMS AND METHODS - A rental service reservation system comprises an instant rental service reservation system that receives an electronic communication from an electronic device of a store customer requesting an item or service rental reservation and an analytics system that determines from the electronic communication whether the requested item or service is available for reservation, and generates a reservation recommendation to the instant rental service reservation system. The instant rental service reservation system generates a reservation in response to the reservation recommendation. | 2017-06-08 |
20170161650 | MULTI-TIERED FLEET MANAGEMENT CACHE - A method of providing reservation status relating to a group of objects includes providing a database for containing (i) availability data describing availability of at least one of the group of objects, and (ii) reservation data describing allocation of at least one of the group of objects. The availability data and the reservation data are stored in sparse form. The method further includes extracting, from the database, availability data and reservation data corresponding to a predetermined period of time, and combining the extracted availability data and reservation data to form windowed data in a dense format. The method also includes receiving the windowed data and providing the windowed data in a bit-vector view, and sampling the windowed data in the bit-vector view to produce sampled data. The sampled data provides the reservation status as a static view of the windowed data in the bit-vector view. | 2017-06-08 |
20170161651 | Electronic System and Method for Travel Planning, Based On Object-Oriented Technology - A method for travel planning, based on object-oriented technology, performed on an electronic system including one or more electronic front-end sides, as clients, at least one electronic backend side, as server, one or more storing databases bidirectionally connected to the backend side, includes the following steps: logging in and accessing the electronic system through the frontend side; starting communication between the electronic front end side and backend side; performing a validation process and creating at least a new UGC at the front end side, sending it to the backend side, and storing it in the storing databases; through a content manager module, at the backend side, analyzing the UGC and assigning a ranking score to the UGC, creating an object by associating the UGC and thhe scoring, and additional information of geotagging and category, the additional information coming from the frontend side and/or from the storing databases, storing the object in the storing databases; through a search manager module, at the backend side, searching a number of the objects in the storing databases based on the ranking score, creating a proposed graphic representation of an itinerary with a sequence of the objects, in a given order according to the ranking score, displaying the proposed graphic representation of an itinerary through the frontend at the one or more electronic front-end sides selecting objects from said proposed graphic representation of an itinerary, and building up a graphic representation of an itinerary of the travel planning according to the selected objects, and sending it to said backend side. | 2017-06-08 |
20170161652 | Financial Monitoring and Forecasting Systems and Methods - A system that provides real-time financial valuation information for entities that process financial transactions across multiple currencies, the system comprising a centralized server that receives transaction data from one or more business locations and external data sources (e.g., stock market data, etc.) wherein, in response to the receipt of the multiple sources of data, the centralized server generates and provides to end users through a graphical user interface at least one user option for viewing real-time, aggregated, modified data regarding the financial transactions across multiple currencies. | 2017-06-08 |
20170161653 | METHOD AND SYSTEM FOR EXECUTING PROBLEM SOLVING RULES BY A COGNITIVE AGENT - The present disclosure relates to a method and system for executing a plurality of business rules. The method includes scanning a plurality of elements added to an input link of an initialized state, writing the scanned plurality of elements to an output link of the initialized state, executing the plurality of business rules based on creation of a state graph, selecting one or more operators for execution and applying actions of productions on an operator of the one or more operators. The state graph is created by adding a plurality of nodes and a plurality of attributes to a top level state. The one or more operators are selected based on a preference of a plurality of preferences in a preference memory. The actions of productions can be applied by adding and removing the plurality of elements. | 2017-06-08 |
20170161654 | SYSTEM AND METHOD FOR CALCULATING A PRODUCTIVITY OF AN INDUSTRIAL INSTALLATION - A method and a system for calculating a productivity of an industrial system consisting of system modules is provided. A Markov model is stored for each system module, the Markov model indicating the probabilities that a system module is in different operating states and indicating transition rates of state changes between the operating states of the respective system module for each operating state of the respective system module with a different productivity. A Cartesian product is calculated from a first Markov model of a first system module and from a second Markov model of a second system module linked to the first system module. The calculated Cartesian product is then reduced to a Markov model of the combined sub-system. The calculation of the Cartesian product and the subsequent reduction are carried out successively until the combined sub-system forms the entire industrial system. | 2017-06-08 |
20170161655 | SOLID STATE IMAGING DEVICE AND ELECTRONIC APPARATUS - A solid state imaging device includes a pixel array unit in which color filters of a plurality of colors are arrayed with four pixels of vertical 2 pixels×horizontal 2 pixels as a same color unit that receives light of the same color, shared pixel transistors that are commonly used by a plurality of pixels are intensively arranged in one predetermined pixel in a unit of sharing, and a color of the color filter of a pixel where the shared pixel transistors are intensively arranged is a predetermined color among the plurality of colors. The present technology can be applied, for example, to a solid state imaging device such as a back-surface irradiation type CMOS image sensor. | 2017-06-08 |
20170161656 | RISK PREPARATION DEVICE, RISK PREPARATION METHOD, AND RISK PREPARATION SYSTEM - A risk preparation device includes an information obtainer, a plan generator, a storage, and a plan executer. The information obtainer receives prediction information predicting an occurrence of a risk. The storage stores, in association with the type and the level of a risk included in the prediction information, details of preparation work for equipment provided in a building. The plan generator generates, based on the prediction information, operation plans for the equipment to implement the details of the preparation work before the risk occurs. The plan executer instructs operations to equipment in accordance with the operation plans. | 2017-06-08 |
20170161657 | CONSTRUCTION PROJECT PERFORMANCE MANAGEMENT - Methods and systems for evaluating entities involved in a construction project. One system includes a server that has access to a plurality of events associated with a construction project, including completion events and accounting events. The server communicates with a computing device over a network connection and includes a processing unit. The processing unit is configured to receive a triggering event selected by a first entity and automatically identify when the plurality of events includes the selected triggering event. When the selected triggering event is included in the plurality of events, the processing unit is configured to automatically prompt a user to complete an evaluation for a second entity, receive the completed evaluation from the user, and make an aggregation of the completed evaluation available to the first entity, the second entity, and a third entity. | 2017-06-08 |
20170161658 | Systems and Methods for Displaying Supplier Evaluation Data - Systems and methods for displaying supplier evaluation information include receiving a print order. A supplier data set is analyzed to determine a set of potential suppliers for the print order. For each respective supplier in the set of potential suppliers for the print order, one or more system-generated evaluation criteria values for the respective supplier are used to determine at least one representative system-generated evaluation criterion value for the respective supplier, and one or more user input evaluation criteria values for the respective supplier are used to determine at least one combined user input evaluation criterion value for the respective supplier. Supplier information for a subset of the set of potential suppliers for the print order is displayed, including identifying information, a representative system-generated evaluation criterion value, and a combined user input evaluation criterion value for a respective supplier from the subset of the set of potential suppliers. | 2017-06-08 |
20170161659 | Computer Architecture and Method for Modifying Data Intake Storage Location Based on a Predictive Model - Disclosed herein is a computer architecture and software that is configured to modify data intake operation at an asset-monitoring system based on a predictive model. In accordance with the present disclosure, the asset-monitoring system may execute a predictive model that outputs an indicator of whether at least one event from a group of events (e.g., a failure event) is likely to occur at a given asset within a given period of time in the future. Based on the output of this predictive model, the asset-monitoring system may modify one or more operating parameters for ingesting data from the given asset, such as a storage location for the ingested data, a set of data variables from the asset that are ingested, and/or a rate at which data from the asset is ingested. | 2017-06-08 |
20170161660 | PREDICTING EVENT TYPES AND TIME INTERVALS FOR PROJECTS - One embodiment provides a method comprising mapping project attributes for past projects to a first parameter set associated with a first model that models distribution of event types of project events, and a second parameter set associated with a second model that models distribution of the time intervals of project events. Specifically, machine learning is applied to a set of historical data for the past projects to obtain a first and a second set of learned weights. The method further comprises predicting information relating to a next project event for an ongoing project by generating a first probability distribution for a set of possible event types for the next project event utilizing the first model, and, for each possible event type, generating a corresponding probability distribution for time intervals of occurrence of the possible event type utilizing the first model and the second model in a pipelined fashion. | 2017-06-08 |
20170161661 | Advisor Generating Multi-representations of Time Series Data - An advisor creates configurations for generating multi-representations of time series data based upon detected characteristics such as length, interval, minimums, data types, etc., as well as configurations provided by a user. In an offline mode the advisor may further consider a previous time series workload. In an on-line mode the advisor may adapt multi-representation configurations with respect to ongoing changes in a current time series workload. The advisor may reference a cost model including values quantifying various dimensions (e.g., compression technique, accuracy, covered time period, storage medium, memory consumption, speed) of the multi-representations for optimization purposes. Configurations created by the advisor may be input to a storage engine to generate and store the multi-representations according to goals for data aging, operation execution pattern optimization, and ease of access to time series data located in hot zones. The advisor may be implemented with an engine of an in-memory database. | 2017-06-08 |
20170161662 | MANAGING USE OF LICENSE-BASED SOFTWARE APPLICATIONS - A system and method of managing software license usage includes: receiving a simulation model that will be processed using two or more license-based software applications; identifying a first license key that will be used to process at least a portion of the simulation model; identifying a second license key that will be used to process at least a portion of the simulation model; and processing the simulation model using the first license key and the second license key, wherein the first license key and the second license key are not used simultaneously and the unused key remains in a shared pool of available license keys. | 2017-06-08 |
20170161663 | PRODUCT PICKING SYSTEM - The disclosed embodiments include product picking systems and methods to pick products. In one embodiment, the system includes a work order module configured to receive a work order to obtain at least one product, obtain a virtual stack of the at least one product based on the work order, the virtual stack being a 3D representation of the at least one product, and determine a set of business rules for selecting each product of the at least one product. The system also includes a vision module configured to identify a first product of the at least one product. The system further includes a processor configured to determine whether the first product satisfies business rules for selecting the first product is satisfied, and configured to operate a robotic arm to select the first product and to arrange the first product to form a physical stack corresponding to the virtual stack. | 2017-06-08 |
20170161664 | SYSTEMS AND METHODS FOR REPLACEMENT PLANNING AND MANAGEMENT - Systems and methods for replacement planning and management are provided. The method includes processing data specific to one or more users, identifying replacement for a predecessor in a particular position in an entity based on the data, identifying, one or more replacement patterns from replacement pattern datasets across platforms based on one or more attributes associated with the particular position. In an embodiment, one or more attributes may include at least one of records of the one or more users, one or more predecessor successor relationships specific to the particular position for a specified period. The method further includes generating one or more rules based on the identified replacement patterns and domain knowledge pertaining to the particular position, identifying successors across platforms from the one or more users based on the generated rules, and generate a list of plausible successors across platforms from the successors for replacement of the predecessor. | 2017-06-08 |
20170161665 | DIALOGUE DATA COLLECTION SYSTEM AND DIALOGUE DATA COLLECTION SUPPORTING APPARATUS - According to an embodiment, a dialogue data collection system includes a presenter, a determiner, a notifier and a collector. The presenter receives response information that the dialogue management apparatus generates by advancing a dialogue status based on the spoken phrases, and presents the response information to the worker. The determiner compares the response information to one or more achievement conditions predetermined relative to the task, and determines achievement or non-achievement of the task based on whether or not the achievement conditions are satisfied. The notifier notifies the worker of achievement of the task. The collector collects dialogue data including the spoken phrase and the response information. | 2017-06-08 |
20170161666 | REAL TIME VISIBILITY OF PROCESS LIFECYCLE - A system and a method for process transaction visibility of one or more steps in a process lifecycle. The method includes identifying a current status of one or more process transaction at a first step of a process lifecycle and determining a change in the status of the one or more process transaction at the first step based the complete of a milestone of the one or more process transaction at the first step. A one or more Key Performance Indicators (KPIs) information is calculated for the current status and the changed status of the process transaction to generate a KPIs report. A unified view of the current status and changed status of the process transaction is displayed on a digital dashboard. | 2017-06-08 |
20170161667 | CONTENT RELEVANCE IN A SOCIAL NETWORKING SYSTEM USING POPULATION-REPRESENTATIVE HUMAN RATER POOL - A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content. | 2017-06-08 |
20170161668 | SKILLS ENDORSEMENTS - Disclosed in some examples is a method comprising determining a first set of high ranking skills, the first set containing skills possessed by a member of the social networking service based upon the member's user profile; determining a second set of high ranking skills, the second set containing skills for a second member of the social networking service based on the second member's user profile; determining a third set of high ranking skills, the third set being the intersection between the first and second set of high ranking skills; and suggesting one or more of the skills in the third set of high ranking skills to the member for endorsement of the second member with respect to that skill. | 2017-06-08 |