International Business Machines Corporation

Simon A S Briggs

Nicholas K Lincoln

Hamish C Hunt

James K Hook

Secure passcode entry using a mobile device having augmented reality capability. The mobile device is registered with an authorization server to register an agreed input display algorithm with an initialization seed, and a user passcode is registered with the authorization server. A superset of options is obtained from an input interface device at which a user passcode is to be entered. The superset of options is processed using the input display algorithm and initialization seed to result in an arrangement of characters including the characters of a registered user passcode. The arrangement of characters is overlaid using the augmented reality capability of the mobile device in relation to an input interface of the input interface device.

Secure passcode entry using mobile device with augmented reality capability

Software that performs the following steps: (i) receiving a first set of search term(s); (ii) receiving identifying information identifying a set of primary web page(s), where each primary web page has been determined, by a search engine, to be potentially relevant to the first set of search term(s); (iii) receiving first visited page information, where the first visited page information includes identifying information identifying: a first visited primary web page that has been visited by a user, and a first set of secondary web page(s) corresponding to the first visited primary web page, where each secondary web page is linked by the first visited primary web page; and (iv) determining relevance score(s) for each secondary web page, where each relevance score indicates an amount of relevance for its respective secondary web page with respect to the first set of search terms.

Utilizing hyperlink forward chain analysis to signify relevant links to a user

A window has a pane of transparent material. A first set of microfluidic channels pass through a first area of the pane, and a second set of microfluidic channels pass through a second area of the pane. Microfluidic planes are in fluid communication with the first and second sets of microfluidic channels. A first pump is in fluid communication with the first set of microfluidic channels, and selectively moves a first fluid having a first level of opacity through the microfluidic planes via the first set of microfluidic channels. A second pump is in fluid communication with the second set of microfluidic channels, and selectively moves a second fluid having a second level of opacity through the microfluidic planes via the second set of microfluidic channels. Moving the second fluid into the microfluidic planes pushes the first fluid out of the microfluidic planes, thereby adjusting an opacity of the window.

Window opacity attenuation using microfluidic channels

A method assists in locating objects using their images. One or more processors receive a set of one or more machine readable reference images of an object, and then distribute the set of one or more machine readable reference images to a plurality of computing devices, where each computing device from the plurality of computing devices is capable of capturing an image. Each computing device from the plurality of computing devices captures a set of one or more images. For each set of one or more images in each computing device from the plurality of computing devices, machine logic within each computing device determines whether each set of one or more images includes an image portion corresponding to the object.

Locating objects using images from portable devices

Software that uses machine logic to identify expert(s) for functional components of source code, determining a confidence value for each functional component based on the availability of its respective expert(s), by performing the following steps: (i) receiving a first functional component of a set of source code; (ii) receiving a set of knowledgeable person(s) information including identifying information for at least one person and respectively associated availability information for each identified person, where each person identified in the set of knowledgeable person(s) information has knowledge of the first functional component; and (iii) calculating, based, at least in part, on the identified person(s) and their respectively associated availability information, a confidence value for the first functional component indicating an amount of availability of person(s) with knowledge of the first functional component.

Calculating confidence values for source code based on availability of experts

In an approach for interpreting a matrix code with increased information density, a processor identifies a first portion of an extended matrix code and a second portion of the extended matrix code, where each portion of the extended matrix code has a different combination of at least one positioning marker and at least one location marker. A processor locates at least one location marker of the first portion of the extended matrix code and at least one location marker of the second portion of the extended matrix code. A processor concatenates the first portion of the extended matrix code and the second portion of the extended matrix code based on at least one location marker of the first portion of the extended matrix code and at least one location marker of the second portion of the extended matrix code. A processor generates the extended matrix code.

Interpreting a matrix code with increased information density

A method and/or computer program product assists in locating objects using a local physical device and one or more remote physical devices having image capture capability. A local physical device captures one or more reference images of an object, and shares identification metrics associated with one or more reference images of the object with one or more of the remote physical devices. One or more remote physical devices captures one or more images of an area in which the object may be located, and determines, using the identification metrics, whether any of the images captured includes the object. In response to a determination that any of the images captured includes the object, those images are stored and associated with the object. In response to the object being lost by a user, the local physical device reviews the stored images to determine a location of the lost object.

Software that uses machine logic to identify expert(s) for functional components of source code, determining a confidence value for each functional component based on the availability of its respective expert(s), by performing the following steps: (i) receiving a first functional component of a set of source code; (ii) receiving a set of knowledgeable person(s) information including identifying information for at least one person and respectively associated availability information for each identified person, where each person identified in the set of knowledgeable person(s) information has knowledge of the first functional component; and (iii) calculating, based, at least in part, on the identified person(s) and their respectively associated availability information, a confidence value for the first functional component relating to the availability of person(s) with knowledge of the first functional component.

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Winchester, United Kingdom

Simon A S Briggs