Abstract: A method, a system, and a non-transitory computer readable medium for accurate Raman spectroscopy. The method may include executing at least one iteration of the steps of: (i) performing, by an optical measurement system, a calibration process that comprises (a) finding a misalignment between a region of interest defined by a spatial filter, and an impinging beam of radiation that is emitted from an illuminated area of a sample, the impinging beam impinges on the spatial filter; and (b) determining a compensating path of propagation of the impinging beam that compensates the misalignment; and (ii) performing a measurement process, while the optical measurement system is configured to provide the compensating path of propagation of the impinging beam, to provide one or more Raman spectra.

Abstract: A method, a system, and a non-transitory computer readable medium for Raman spectroscopy. The method may include determining first acquisition parameters of a Raman spectroscope to provide a first acquisition set-up, the determining is based on at least one expected radiation pattern to be detected by a sensor of the Raman spectroscope as a result of an illumination of a first area of a sample, the first area comprises a first nano-scale structure, wherein at least a part of the at least one expected radiation pattern is indicative of at least one property of interest of the first nano-scale structure of the sample; wherein the first acquisition parameters belong to a group of acquisition parameters; setting the Raman spectroscope according to the first acquisition set-up; and acquiring at least one first Raman spectrum of the first nano-scale structure of the sample, while being set according to the first acquisition set-up.

Abstract: A polarized Raman Spectrometric system for defining parameters of a polycrystalline material, the system comprises a polarized Raman Spectrometric apparatus, a computer-controlled sample stage for positioning a sample at different locations, and a computer comprising a processor and an associated memory. The polarized Raman Spectrometric apparatus generates signal(s) from either small sized spots at multiple locations on a sample or from an elongated line-shaped points on the sample, and the processor analyzes the signal(s) to define the parameters of said polycrystalline material.

Abstract: A method for use in measuring one or more characteristics of patterned structures, the method including providing measured data comprising data indicative of at least one Raman spectrum obtained from a patterned structure under measurements using at least one selected optical measurement scheme each with a predetermined configuration of at least one of illuminating and collected light conditions corresponding to the one or more characteristics to be measured, processing the measured data, and determining, for each of the at least one Raman spectrum, a distribution of Raman-contribution efficiency (RCE) within at least a part of the structure under measurements, being dependent on characteristics of the structure and the predetermined configuration of the at least one of illuminating and collected light conditions in the respective optical measurement scheme, and analyzing the distribution of Raman-contribution efficiency and determining the one or more characteristics of the structure.

Abstract: Social relationships are detected between a plurality of users. A set of user activity logs is input, where these logs originate from one or more network services and cover a prescribed period of time. Each of the logs originates from a particular one of the services and includes a structured data stream that records each interaction that each of one or more of the users has with the particular one of the services. This structured data stream includes a timestamp specifying when this interaction occurred, and a public network identifier specifying a network address from which this interaction occurred. The set of user activity logs is then analyzed to detect a prescribed kind of social relationship between the users. A data structure is then generated that identifies the users between whom the prescribed kind of social relationship is detected, and the data structure is output.

Abstract: Architecture that generates a notification when a user arrives at a location, but without exposing identity of the location. Moreover, the notification can be generated and transmitted at all times. The architecture comprises a reminder service that manages all reminder requests and approvals, a notification engine that notifies a requesting user when target user arrived at a specific location or one of a general category of location, and a user interface that allows the user to set reminders that are displayed when the target user arrives at the point of interest and approves other user reminder requests. The architecture can be run on a mobile phone, and manages user requests and user approvals for location based notifications, alerts a requesting user the target user arrived at one of previously-specified points of interest. Similarly, a general category of destination can be specified, rather than a specific point of interest.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Social relationships are detected between a plurality of users. A set of user activity logs is input, where these logs originate from one or more network services and cover a prescribed period of time. Each of the logs originates from a particular one of the services and includes a structured data stream that records each interaction that each of one or more of the users has with the particular one of the services. This structured data stream includes a timestamp specifying when this interaction occurred, and a public network identifier specifying a network address from which this interaction occurred. The set of user activity logs is then analyzed to detect a prescribed kind of social relationship between the users. A data structure is then generated that identifies the users between whom the prescribed kind of social relationship is detected, and the data structure is output.

Abstract: Architecture that generates a notification when a user arrives at a location, but without exposing identity of the location. Moreover, the notification can be generated and transmitted at all times. The architecture comprises a reminder service that manages all reminder requests and approvals, a notification engine that notifies a requesting user when target user arrived at a specific location or one of a general category of location, and a user interface that allows the user to set reminders that are displayed when the target user arrives at the point of interest and approves other user reminder requests. The architecture can be run on a mobile phone, and manages user requests and user approvals for location based notifications, alerts a requesting user the target user arrived at one of previously-specified points of interest. Similarly, a general category of destination can be specified, rather than a specific point of interest.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that generates a notification when a user arrives at a location, but without exposing identity of the location. Moreover, the notification can be generated and transmitted at all times. The architecture comprises a reminder service that manages all reminder requests and approvals, a notification engine that notifies a requesting user when target user arrived at a specific location or one of a general category of location, and a user interface that allows the user to set reminders that are displayed when the target user arrives at the point of interest and approves other user reminder requests. The architecture can be run on a mobile phone, and manages user requests and user approvals for location based notifications, alerts a requesting user the target user arrived at one of previously-specified points of interest. Similarly, a general category of destination can be specified, rather than a specific point of interest.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that generates a notification when a user arrives at a location, but without exposing identity of the location. Moreover, the notification can be generated and transmitted at all times. The architecture comprises a reminder service that manages all reminder requests and approvals, a notification engine that notifies a requesting user when target user arrived at a specific location or one of a general category of location, and a user interface that allows the user to set reminders that are displayed when the target user arrives at the point of interest and approves other user reminder requests. The architecture can be run on a mobile phone, and manages user requests and user approvals for location based notifications, alerts a requesting user the target user arrived at one of previously-specified points of interest. Similarly, a general category of destination can be specified, rather than a specific point of interest.

Abstract: Architecture that generates a notification when a user arrives at a location, but without exposing identity of the location. Moreover, the notification can be generated and transmitted at all times. The architecture comprises a reminder service that manages all reminder requests and approvals, a notification engine that notifies a requesting user when target user arrived at a specific location or one of a general category of location, and a user interface that allows the user to set reminders that are displayed when the target user arrives at the point of interest and approves other user reminder requests. The architecture can be run on a mobile phone, and manages user requests and user approvals for location based notifications, alerts a requesting user the target user arrived at one of previously-specified points of interest. Similarly, a general category of destination can be specified, rather than a specific point of interest.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that creates a multi-dimensional spatial model of a mobile device based on data obtained from sensors, such as associated with the mobile device, for example. The spatial model defines the location of the mobile device in space, as well as the device orientation (e.g., heading, and tilt). The spatial model is used to determine a target location (or point) in space at which the mobile device is aiming. The spatial model can be generated based on sensing subsystems that include, but are not limited to, geolocation subsystem (e.g., GPS-global positioning system), a directional (or heading) sensor such as a compass, and gyroscope information to calculate the device tilt relative to the target location.

Abstract: Architecture that generates a notification when a user arrives at a location, but without exposing identity of the location. Moreover, the notification can be generated and transmitted at all times. The architecture comprises a reminder service that manages all reminder requests and approvals, a notification engine that notifies a requesting user when target user arrived at a specific location or one of a general category of location, and a user interface that allows the user to set reminders that are displayed when the target user arrives at the point of interest and approves other user reminder requests. The architecture can be run on a mobile phone, and manages user requests and user approvals for location based notifications, alerts a requesting user the target user arrived at one of previously-specified points of interest. Similarly, a general category of destination can be specified, rather than a specific point of interest.

Abstract: The subject disclosure is directed towards mobile device privacy and anonymity. When a contact is marked as private, or when a device operates in a private mode, one or more privacy-related actions with respect to an incoming or outgoing communication are performed. Privacy-related actions include logging private telephone call information to a private, protected log, storing private message content to a private protected store, or not saving any such information or content. Another privacy-related action comprises not allowing a visible or audible notification to occur when a private communication is received.