Abstract: Embodiments can provide a computer implemented method in a computing system including a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement a system for virtual reality user authentication, the method including responsive to a user request, generating, by a virtual reality system, a virtual reality authentication program splash screen based on at least one of a user profile and one or more real-life activities of the user; activating, by the virtual reality system, a virtual reality authentication module; prompting, through the virtual reality system, the user to perform one or more real-life tasks specific to the user involving motions using the virtual reality system; recording, through the virtual reality system, the motions using one or more sensors; and storing, using an authentication server, the motions of the at least one of the user as authentication requirements for accessing a virtual reality program.

Abstract: Embodiments can provide a computer implemented method in a computing system including a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement a system for virtual reality user authentication, the method including responsive to a user request, generating, by a virtual reality system, a virtual reality authentication program splash screen based on at least one of a user profile and one or more real-life activities of the user; activating, by the virtual reality system, a virtual reality authentication module; prompting, through the virtual reality system, the user to perform one or more real-life tasks specific to the user involving motions using the virtual reality system; recording, through the virtual reality system, the motions using one or more sensors; and storing, using an authentication server, the motions of the at least one of the user as authentication requirements for accessing a virtual reality program.

Abstract: Frustration in online chat communication is prevented in which a text transcript is generated by at least two chat participants, by: (i) identifying in a text transcript a text-based signal listed on a list of text-based signals in a table; (ii) performing a first text analytics analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript, the first text analytics analysis using a context hint provided in the table, the context hint corresponding in the table to the text-based signal; and (iii) responsive to potential frustration being evidenced by the text transcript, taking a responsive action based at least in part upon a potential cause of the potential frustration determined by performing a second text analytics analysis on the text transcript. The context hint is a contextual clue that supports a determination of whether the text-based signal indicates potential frustration as evidenced by the text transcript.

Abstract: A computer detects a connected voice or video call between participants and records a brief media sample. Speech recognition is utilized to determine when the call is connected as well as to transcribe the content of the audio portion of the media sample. The recorded media sample and transcribed content is associated with the connected voice or video call such that a user may reference it at a later point. The computer additionally suggests creating or editing contact information associated with the participants of the connected voice or video call based on the transcribed content.

Abstract: Monitoring an internet chat in which a text transcript is generated by at least two chat participants, by: (i) identifying in a text transcript a text-based signal listed on a list of text-based signals in a table; (ii) performing a first text analytics analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript, the first text analytics analysis using a context hint provided in the table, the context hint corresponding in the table to the text-based signal; and (iii) responsive to potential frustration being evidenced by the text transcript, taking a responsive action based at least in part upon a potential cause of the potential frustration determined by performing a second text analytics analysis on the text transcript. The context hint is a contextual clue that supports a determination of whether the text-based signal indicates potential frustration as evidenced by the text transcript.

Abstract: Monitoring an internet chat in which a text transcript is generated by at least two chat participants, by: (i) performing a simple check on the text transcript for existence of a potential frustration precondition; and (ii) on condition that a frustration precondition is found, performing text analytics type analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript. If it is determined that potential frustration is evidenced by the chat transcript then responsive action is taken to prevent and/or stem the frustration.

Abstract: Monitoring an internet chat in which a text transcript is generated by at least two chat participants, by: (i) performing a simple check on the text transcript for existence of a potential frustration precondition; and (ii) on condition that a frustration precondition is found, performing text analytics type analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript. If it is determined that potential frustration is evidenced by the chat transcript then responsive action is taken to prevent and/or stem the frustration.

Abstract: A method and system for autonomously tuning a Lightweight Directory Access Protocol (LDAP) server are disclosed. The method comprises activating a tuning thread when defined conditions are met; and using this thread to initiate automatically a tuning procedure to tune an LDAP server cache, to tune a database buffer pool for the server, and to perform runtime tuning of parameters of the database. Tuning may be initiated upon reaching a specified time, or when the cache hit ratio of the server falls below a given threshold or on issuing the extended operation. The tuning procedure may include Basic or Advanced Tuning procedures and an Advanced Tuning procedure. The Basic Tuning procedure is comprised of static tuning of the server based on the number and size of entries in the database, and the Advanced Tuning Procedure is a real time procedure based on real client search patterns.

Abstract: A computer detects a connected voice or video call between participants and records a brief media sample. Speech recognition is utilized to determine when the call is connected as well as to transcribe the content of the audio portion of the media sample. The recorded media sample and transcribed content is associated with the connected voice or video call such that a user may reference it at a later point. The computer additionally suggests creating or editing contact information associated with the participants of the connected voice or video call based on the transcribed content.

Abstract: A computer detects a connected voice or video call between participants and records a brief media sample. Speech recognition is utilized to determine when the call is connected as well as to transcribe the content of the audio portion of the media sample. The recorded media sample and transcribed content is associated with the connected voice or video call such that a user may reference it at a later point. The computer additionally suggests creating or editing contact information associated with the participants of the connected voice or video call based on the transcribed content.

Abstract: A computer detects a connected voice or video call between participants and records a brief media sample. Speech recognition is utilized to determine when the call is connected as well as to transcribe the content of the audio portion of the media sample. The recorded media sample and transcribed content is associated with the connected voice or video call such that a user may reference it at a later point. The computer additionally suggests creating or editing contact information associated with the participants of the connected voice or video call based on the transcribed content.

Abstract: A computer detects a connected voice or video call between participants and records a brief media sample. Speech recognition is utilized to determine when the call is connected as well as to transcribe the content of the audio portion of the media sample. The recorded media sample and transcribed content is associated with the connected voice or video call such that a user may reference it at a later point. The computer additionally suggests creating or editing contact information associated with the participants of the connected voice or video call based on the transcribed content.

Abstract: A method and system for autonomously tuning a Lightweight Directory Access Protocol (LDAP) server are disclosed. The method comprises activating a tuning thread when defined conditions are met; and using this thread to initiate automatically a tuning procedure to tune an LDAP server cache, to tune a database buffer pool for the server, and to perform runtime tuning of parameters of the database. Tuning may be initiated upon reaching a specified time, or when the cache hit ratio of the server falls below a given threshold or on issuing the extended operation. The tuning procedure may include Basic or Advanced Tuning procedures and an Advanced Tuning procedure. The Basic Tuning procedure is comprised of static tuning of the server based on the number and size of entries in the database, and the Advanced Tuning Procedure is a real time procedure based on real client search patterns.

Abstract: A computer detects a connected voice or video call between participants and records a brief media sample. Speech recognition is utilized to determine when the call is connected as well as to transcribe the content of the audio portion of the media sample. The recorded media sample and transcribed content is associated with the connected voice or video call such that a user may reference it at a later point. The computer additionally suggests creating or editing contact information associated with the participants of the connected voice or video call based on the transcribed content.

Abstract: Monitoring an internet chat in which a text transcript is generated by at least two chat participants, by: (i) performing a simple check on the text transcript for existence of a potential frustration precondition; and (ii) on condition that a frustration precondition is found, performing text analytics type analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript. If it is determined that potential frustration is evidenced by the chat transcript then responsive action is taken to prevent and/or stem the frustration.

Abstract: Monitoring an internet chat in which a text transcript is generated by at least two chat participants, by: (i) performing a simple check on the text transcript for existence of a potential frustration precondition; and (ii) on condition that a frustration precondition is found, performing text analytics type analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript. If it is determined that potential frustration is evidenced by the chat transcript then responsive action is taken to prevent and/or stem the frustration.

Abstract: Monitoring an internet chat in which a text transcript is generated by at least two chat participants, by: (i) performing a simple check on the text transcript for existence of a potential frustration precondition; and (ii) on condition that a frustration precondition is found, performing text analytics type analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript. If it is determined that potential frustration is evidenced by the chat transcript then responsive action is taken to prevent and/or stem the frustration.

Abstract: A method and system for autonomously tuning a Lightweight Directory Access Protocol (LDAP) server are disclosed. The method comprises activating a tuning thread when defined conditions are met; and using this thread to initiate automatically a tuning procedure to tune an LDAP server cache, to tune a database buffer pool for the server, and to perform runtime tuning of parameters of the database. Tuning may be initiated upon reaching a specified time, or when the cache hit ratio of the server falls below a given threshold or on issuing the extended operation. The tuning procedure may include Basic or Advanced Tuning procedures and an Advanced Tuning procedure. The Basic Tuning procedure is comprised of static tuning of the server based on the number and size of entries in the database, and the Advanced Tuning Procedure is a real time procedure based on real client search patterns.

Abstract: The clustering of LDAP servers wherein each LDAP server is connected to the databases of all other LDAP servers in addition to its own database. This creates a mesh of highly available LDAP servers that are loosely connected to all the repositories of LDAP data in the distributed directory environment. Also broadly contemplated herein is the employment of a cluster manager for managing the cluster of LDAP servers.

Abstract: Monitoring an internet chat in which a text transcript is generated by at least two chat participants, by: (i) performing a simple check on the text transcript for existence of a potential frustration precondition; and (ii) on condition that a frustration precondition is found, performing text analytics type analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript. If it is determined that potential frustration is evidenced by the chat transcript then responsive action is taken to prevent and/or stem the frustration.