Abstract: Diagnosing faults in a hardware appliance. Information is read by a hand-held reader from one or more contactless tags associated with one or more components in a hardware appliance. One or more component faults and/or issues are identified based on the read information. A query is formed based on the identified one or more component faults and/or issues. A diagnostic database in the hand-held reader is queried, based on the formed query, and one or more query results are displayed in a ranked order on a display of the hand-held reader. In one aspect of the embodiments, the information read from the one or more contactless tags includes a pointer to a datastore in one of the one or more components. An ad hoc wireless network connection is established with the hardware appliance, and information in the datastore is downloaded over the connection.

Abstract: Diagnosing faults in a hardware appliance. Information is read by a hand-held reader from one or more contactless tags associated with one or more components in a hardware appliance. One or more component faults and/or issues are identified based on the read information. A query is formed based on the identified one or more component faults and/or issues. A diagnostic database in the hand-held reader is queried, based on the formed query, and one or more query results are displayed in a ranked order on a display of the hand-held reader. In one aspect of the embodiments, the information read from the one or more contactless tags includes a pointer to a datastore in one of the one or more components. An ad hoc wireless network connection is established with the hardware appliance, and information in the datastore is downloaded over the connection.

Abstract: Diagnosing faults in a hardware appliance. Information is read by a hand-held reader from one or more contactless tags associated with one or more components in a hardware appliance. One or more component faults and/or issues are identified based on the read information. A query is formed based on the identified one or more component faults and/or issues. A diagnostic database in the hand-held reader is queried, based on the formed query, and one or more query results are displayed in a ranked order on a display of the hand-held reader. In one aspect of the embodiments, the information read from the one or more contactless tags includes a pointer to a datastore in one of the one or more components. An ad hoc wireless network connection is established with the hardware appliance, and information in the datastore is downloaded over the connection.

Abstract: Diagnosing faults in a hardware appliance. Information is read by a hand-held reader from one or more contactless tags associated with one or more components in a hardware appliance. One or more component faults and/or issues are identified based on the read information. A query is formed based on the identified one or more component faults and/or issues. A diagnostic database in the hand-held reader is queried, based on the formed query, and one or more query results are displayed in a ranked order on a display of the hand-held reader. In one aspect of the embodiments, the information read from the one or more contactless tags includes a pointer to a datastore in one of the one or more components. An ad hoc wireless network connection is established with the hardware appliance, and information in the datastore is downloaded over the connection.

Abstract: Some embodiments of the inventive subject matter include a computer-implemented method for processing text received in a first input filed. The method can include detecting the first input field configured to receive text, wherein the input field has a character limit defining a maximum number of characters that can be entered into the first input field. The method can also include receiving a first set of characters in the first input field, wherein a count of the first set of characters does not exceed the character limit. The method can also include receiving a second set of characters in the first input field. The method can also include detecting that a count of the second set of characters and the first set of characters exceeds the character limit, and presenting a second input field, wherein the second input field includes at least the second set of characters.

Abstract: Some embodiments of the inventive subject matter include a computer-implemented method for processing text received in an input filed. The method can include presenting, under control of a processor, the input field configured to receive text, wherein the input field has a character limit defining a maximum number of characters that will appear in the input field. The method can also include receiving a first group of text in the input field, wherein the first group of text does not exceed the character limit. The method can also include receiving a second group of text in the input field. The method can also include detecting that the second group of text combined with the first group of text exceeds the character limit, and presenting, in response to the detecting, an input viewer including the first and second groups of text.

Abstract: A method and system for generating analogous fictional data from non-fictional data, is provided. One implementation involves recording non-fictional data, scoring the non-fictional data in terms of occurrence percentile, obtaining a set of user-configurations that represents a likeness range between non-fictional data and corresponding fictional data, based on the scores and the user-configurations, generating analogous fictional data from the non-fictional data, and comparing hash values for the fictional data with hash values for the non-fictional data to determine matches, and in case of matches, generating analogous fictional data from the non-fictional data based on the scores and incrementally lowered likeness range, whereby entire records of fictional data are generated based on entire records of non-fictional data, wherein the fictional data is consistent with the non-fictional data.

Abstract: A method and system for generating analogous fictional data from non-fictional data, is provided. One implementation involves recording non-fictional data, scoring the non-fictional data in terms of occurrence percentile, obtaining a set of user-configurations that represents a likeness range between non-fictional data and corresponding fictional data, based on the scores and the user-configurations, generating analogous fictional data from the non-fictional data, and comparing hash values for the fictional data with hash values for the non-fictional data to determine matches, and in case of matches, generating analogous fictional data from the non-fictional data based on the scores and incrementally lowered likeness range, whereby entire records of fictional data are generated based on entire records of non-fictional data, wherein the fictional data is consistent with the non-fictional data.

Abstract: A method and system for generating analogous fictional data from non-fictional data, is provided. One implementation involves recording non-fictional data, scoring the non-fictional data in terms of occurrence percentile, obtaining a set of user-configurations that represents a likeness range between non-fictional data and corresponding fictional data, based on the scores and the user-configurations, generating analogous fictional data from the non-fictional data, and comparing hash values for the fictional data with hash values for the non-fictional data to determine matches, and in case of matches, generating analogous fictional data from the non-fictional data based on the scores and incrementally lowered likeness range, whereby entire records of fictional data are generated based on entire records of non-fictional data, wherein the fictional data is consistent with the non-fictional data.