International Business Machines Corporation

Amnon Ribak

Michal Jacovi

Mattias Marder

Amir Geva

Alex Winokur

Tal Drory

Vladimir Soroka

Sigalit Ur

Joseph Shiloach

Yoav Nahshon

Eitan Hadar

Yoelle Smadja Maarek

Ariel Farkash

Eugene Walach

Jonathan Bnayahu

Asaf Tzadok

Ella Barkan

Alan Jay Wecker

Einat Amitay

Yoav Rubin

Susan L Spraragen

Vladmir Soroka

Yuangeng Huang

Yuangene Huang

Raymund J R Lin

A method for authentication based on image location and image analysis, comprises: identifying a request of a user to access a resource; determining a location and view point of a device; selecting, based on the location and the view point, at least one three-dimensional model, geometrically mapping objects around the location; capturing an image at the location by a camera of the device; presenting the image on a display of the device; identifying in the at least one first image a set of objects corresponding to a plurality of user selections made by the user with reference to the image when the image is presented on the display; performing a match between the set of objects and a predefined set of objects in the three-dimensional model using the three-dimensional model and the view point; and authenticating the request based on an outcome of the match.

System and method for continuous authentication using augmented reality and three dimensional object recognition

A method includes identifying, in an image, a shelf, a price tag affixed to the shelf, a first group of one or more first products resting on the shelf and positioned on a first side of the price tag, and a second group of one or more second products resting on the shelf and positioned on a second side of the price tag. One or more first candidates are identified for the one or more first products, and one or more second candidates are identified for the one or more second products. Upon receiving information indicating expected locations for the first and the second candidates, determining, an identity of the first products can be determined based on the expected locations and the one or more first candidates, and an identity of second products can be determined based on the expected locations and the one or more second candidates.

Product identification via image analysis

A system for describing and analyzing service-related human experience in organizational or commercial environments based on a hierarchical model of needs (e.g. Maslow's hierarchy of needs) is provided herein. The system may include a classifier configured to classify experience states based on a predefined hierarchical model of needs, to yield a classification; a modeler configured to model a real-life environment into a model that includes a set of process instances associated with users; and an experience notation generator configured to: extract experience-related data associated with the users from the model, based on the classification; and represent the experience-related data of each one of the process instance as a non-textual time series, based on the classification. Optionally, the time series may be used to produce reports using an analyzer. The reports may be applied to a remedy engine to generate recommendations for improving the human experience.

Using non-textual notation for describing service related human experience based on a hierarchal model of human needs

A method, system, and computer program product for computer application analysis are provided. The method for computer application analysis includes monitoring a computer system on which an application to be analyzed is executed and interacted with by a user of the computer system. The monitoring includes: capturing screen data of the application as displayed on a display screen of the computer system including interpreting the screen data using optical character recognition (OCR); and capturing user inputs to the application to input devices of the computer system. The method further includes analyzing the captured screen data and user inputs to generate a summary of the usage of the application.

Computer application analysis

A method and system for monitoring a workstation. The system includes a monitoring system for monitoring activity on a workstation and an analysis module for comparing a monitored activity to specified activities in a work profile. The system may include an alert generator for generating an alert if the monitored activity does not conform to the work profile. The work profile may be a user profile of specified activities allowed to be performed by a user, and/or a transaction profile of a sequence of specified activities to be performed in a transaction by a user. The monitoring system includes an inputs monitor for monitoring inputs by the user into the workstation, a screen monitor which extracts content from a screen display viewed by a user, and a physical presence monitor to determine if a user is at his workstation.

Method and system for monitoring a workstation

A collaborative development environment includes an integrated development environment and a collaboration client integrated into the environment. There also is a Help menu of a software application which includes sections to provide information about the software application and a peer support section to provide access to a collaboration server.

Collaborative development environments for software

A method is described for providing information regarding a piece of electronic mail (e-mail). The method includes processing a data set containing transmission data associated with the e-mail so as to determine one or more steps in a propagation history of the e-mail. The transmission data typically include identifiers of a sender of the e-mail and of one or more recipients of at least a portion of the e-mail. The method also includes displaying the propagation history. Preferably, processing the data set includes analyzing transmission information embedded in text of the e-mail.

Dynamic visualization of electronic mail propagation

A method for document annotation includes providing a contextual framework extending over multiple electronic documents. Annotations are input to a computer by a user with respect to two or more of the documents, while the user views the documents on a computer screen. Each of the annotations is stored together with respective context information in a memory of the computer, the context information including multiple fields defined by the framework. The annotations are sorted with respect to the two or more documents according to one or more of the multiple fields of the respective context information, and the sorted annotations are output for viewing by the user.

Multi-document context aware annotation system

A method for visualizing data includes receiving code representing content for display on the screen of a computer, the content including at least one hyperlink to other content and at least one attribute associated with the hyperlink. User preferences are set for each attribute. The content is displayed on the screen, and at least one of the hyperlinks is hidden in response to the combination of user preference for that attribute.

Modifying hyperlink display characteristics

A context-responsive display system for use in a vehicle. The display system includes a dashboard display positioned in front of a driver of the vehicle and adapted to display graphic user interface elements in a predetermined graphic composition providing information to the driver regarding operation of devices in the vehicle. The display system also includes a processor coupled to receive signals from the devices in the vehicle and to drive the display responsive thereto, and to alter the graphic composition of the display responsive to a selected input to the processor.

Context-responsive in-vehicle display system

A limited multi-fault system and method manages error recovery in a local area network system. The system includes a data structure which store related error events, diagnostic problems and causes. In addition, a method of managing error events in real time and identifying causes and recommending actions is provided. A knowledge base is used to determine the causes and recommended actions for the problem.

Problem determination method for local area network systems

An expert based system for managing error events in a local area network (LAN) includes an inference engine and a knowledge base storing data defining a plurality of causal relationships. Each of the causal relationships associates an error message with a cause, at least one implied relationship, and at least one trigger relationship. The inference engine accesses said knowledge base in response to a receiver error message to identify the error message and retrieve from the knowledge base its possible causes. The received error message is compared with other already received error messages to filter out repeated error messages. Already received error messages are examined to determine whether a triggering error message has arrived and, if so, the received error is discarded. The received error message is compared with existing diagnostic problems, termed a cluster, to determine if the received error message shares common causes with all error messages in the cluster and, if so, the received error message is added to the cluster. The causes in a cluster are evaluated to determine whether one cause in a cluster implies another cause and, if so, the implied cause is discarded. A user interface connected to the inference engine is used for reporting problems including correlated error messages, a cause and a recommended action for fixing the cause.

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Misgav, Israel

Amnon Ribak