Abstract: Systems and methods for generating routes taking into consideration user preferences for scenery, in addition to or alternatively to time, distance, and/or cost are provided. User preferences for scenery during a trip from one location to another can be quantified and used to augment standard routing methods by giving weight to scenic quality. For example, a weighting triangle can be used, where a user chooses a balanced weighting of three factors, including scenic quality, before a route from the starting location to the destination is generated.

Abstract: Wearable devices and methods of using the same for inputting ambient conditions and the movement and bio-signals of a user to an external device are provided. The wearable device can include a finger sensor and a wrist sensor, wherein each includes an accelerometer, a gyroscope, and a compass. The compass can be a magnetometer. The wrist sensor can also include a power source, a computer, and a touchscreen.

Abstract: Techniques for geolocating social media are described. According to an embodiment, information from textual content of a non-geolocated social media data item stored in a database is extracted. A knowledge database is then searched for a cluster of geo-located social media data items to which the information most closely relates, and an estimated location is assigned to the non-geolocated social media data item according to the cluster to which the information most closely relates. Each cluster comprises one or more representative tags for a spatio-temporal region. The knowledge database is created from geolocated social media data by grouping data according to location and extracting representative tags from the location's grouping of data according to textual content as well as information related to reliability and truthfulness of the textual content.

Abstract: Wearable devices and methods of using the same for inputting ambient conditions and the movement and bio-signals of a user to an external device are provided. The wearable device can include a finger sensor and a wrist sensor, wherein each includes an accelerometer, a gyroscope, and a compass. The compass can be a magnetometer. The wrist sensor can also include a power source, a computer, and a touchscreen.

Abstract: Techniques and systems are disclosed for receiving user input related to three co-optimized objectives, factors, or parameters, and translating the user input into weight factors for a tri-variable weighting function. In various embodiments, a triangular user interface element is displayed that allows a user to assign importance weights to three interrelated decision optimization objectives using a single user input selection gesture. Each side of the triangular user interface element presents a factor of the weight function. When the user selects a single position on the perimeter or within the field of the triangular figure in the user interface, weight factors for each of the three interrelated optimization objectives are determined that can be used as weight factors in the tri-variable weighting function.

Abstract: Given a parking structure where vehicle identification devices are placed so that they can identify the entry and exit of individual vehicles, techniques and systems recommend a parking zone with available spaces to a driver based on likely desirability, which may reduce vehicle emissions associated with cruising for a parking space. Techniques include determining a zone recommendation by selecting the zone having the highest attractiveness value and an occupancy ratio lower than a threshold, and modifying parking metrics in accordance with the probability that the driver will follow the recommendation. Vehicle metadata may be used as a factor in the zone recommendation. Information about actual driver parking behavior and/or an analysis of historical parking records may be used to adjust system parameters, including the probability the driver will follow the recommendation and the attractiveness values.

Abstract: Techniques and systems are described that enable improved gesture discernment from input devices, as well as simplified modeling and processing of gestures by application software layers. Given data (e.g., about movements, actions, or events) gathered from input devices, techniques and systems allow gestures to be discerned and inferred more formally and reliably, and processed more easily by an application layer. A gesture interpreter is provided that, in response to receiving an activation input data from an input device, instantiates a high-level Petri Net instance, executes the high-level Petri Net instance, and returns, to an application layer, an outcome gesture indicative of a terminal node in a path of the high-level Petri Net instance being traversed during the execution of the high-level Petri Net instance.

Abstract: A geographical information system (GIS) is described that enables querying, analysis and visualization of real-time streaming data pertaining to at least one moving object or entity (e.g., vehicles, people, sensors, weather phenomena, etc.) in conjunction with relatively static multi-temporal geospatial data. An application programming interface is provided to present the GIS functionality for handling dynamically moving objects or entities to clients.

Abstract: A geographical information system (GIS) is described that enables querying, analysis and visualization of real-time streaming data pertaining to at least one moving object or entity (e.g., vehicles, people, sensors, weather phenomena, etc.) in conjunction with relatively static multi-temporal geospatial data. An application programming interface is provided to present the GIS functionality for handling dynamically moving objects or entities to clients.

Abstract: Techniques and systems are described that enable the intelligent recommendation and presentation of demand-responsive transit services. Implementations can analyze current user activities with respect to historically-based user transit behaviors in order to determine the user's imminent transit demands. Prior-scheduled transit options meeting the imminent demand are searched, and filtering parameters including user preferences and demand-responsive transit provider constraints are retrieved. Embodiments further retrieve possible demand-responsive transit options for meeting the demand from a demand-responsive transit system scheduling/information service. Embodiments consolidate and analyze these diverse sources to identify a set of preferred transit alternatives for available transit options that meet the filtering parameters. Implementations are described that integrate with an existing transit application present on a user device (e.g., a mobile device).

Abstract: Techniques and systems are disclosed for receiving user input related to three co-optimized objectives, factors, or parameters, and translating the user input into weight factors for a tri-variable weighting function. In various embodiments, a triangular user interface element is displayed that allows a user to assign importance weights to three interrelated decision optimization objectives using a single user input selection gesture. Each side of the triangular user interface element presents a factor of the weight function. When the user selects a single position on the perimeter or within the field of the triangular figure in the user interface, weight factors for each of the three interrelated optimization objectives are determined that can be used as weight factors in the tri-variable weighting function.

Abstract: Given a parking structure where vehicle identification devices are placed so that they can identify the entry and exit of individual vehicles, techniques and systems recommend a parking zone with available spaces to a driver based on likely desirability, which may reduce vehicle emissions associated with cruising for a parking space. Techniques include determining a zone recommendation by selecting the zone having the highest attractiveness value and an occupancy ratio lower than a threshold, and modifying parking metrics in accordance with the probability that the driver will follow the recommendation. Vehicle metadata may be used as a factor in the zone recommendation. Information about actual driver parking behavior and/or an analysis of historical parking records may be used to adjust system parameters, including the probability the driver will follow the recommendation and the attractiveness values.

Abstract: Techniques and systems are described that enable improved gesture discernment from input devices, as well as simplified modeling and processing of gestures by application software layers. Given data (e.g., about movements, actions, or events) gathered from input devices, techniques and systems allow gestures to be discerned and inferred more formally and reliably, and processed more easily by an application layer. A gesture interpreter is provided that, in response to receiving an activation input data from an input device, instantiates a high-level Petri Net instance, executes the high-level Petri Net instance, and returns, to an application layer, an outcome gesture indicative of a terminal node in a path of the high-level Petri Net instance being traversed during the execution of the high-level Petri Net instance.

Abstract: A geographical information system (GIS) is described that enables querying, analysis and visualization of real-time streaming data pertaining to at least one moving object or entity (e.g., vehicles, people, sensors, weather phenomena, etc.) in conjunction with relatively static multi-temporal geospatial data. An application programming interface is provided to present the GIS functionality for handling dynamically moving objects or entities to clients.

Abstract: Techniques for geolocating social media are described. According to an embodiment, information from textual content of a non-geolocated social media data item stored in a database is extracted. A knowledge database is then searched for a cluster of geo-located social media data items to which the information most closely relates, and an estimated location is assigned to the non-geolocated social media data item according to the cluster to which the information most closely relates. Each cluster comprises one or more representative tags for a spatio-temporal region. The knowledge database is created from geolocated social media data by grouping data according to location and extracting representative tags from the location's grouping of data according to textual content as well as information related to reliability and truthfulness of the textual content.

Abstract: A database querying system to facilitate the retrieval of desired data from a database including information categories, object data items, a processor assembly responsive to a user query, a relationship category defined by relationships between the object data items of the information categories, the user query including a relationship identifier corresponding to the relationship category. Interpretation of relational-database query and data manipulation languages against non-relational schemas, by regarding the schemas as representing virtual relational databases with every class replaced by a virtual table comprised of all the attributes reachable from the class by a chain of relations. The interpretation allows concise and simple querying of non-relational and relational databases in languages originally intended only for relational databases.

Abstract: A database querying system to facilitate the retrieval of desired data from a database including information categories, the system including a plurality of object data items categorized in one information category and a plurality of object data items categorized in another information category. A processor assembly responsive to a user query is also provided and is structured to identify the desired data from the user query. A relationship category defined by relationships between the object data items of the information categories is further provided, the user query including a relationship identifier corresponding the relationship category so as to simplify syntax of the user query.

Abstract: A therapeutic method includes determining heartbeat and respiratory rates converted in respective electric signals of a subject, displaying the heart rate, spectrally analyzing the respiratory and heartbeat signals, thereby defining a phase shift therebetween, causing the subject to modify the respiratory rate in a sense tending to minimize the phase shift and selecting a frequency of the displayed reference signal which correlates with the modified respiratory signal, and establishing an optimum reference signal displayed as a resonance frequency unique for the subject upon approaching the zero phase shift between the heart signal and the modified respiratory signal.

Abstract: The present invention relates to a system and methods for fine-granularity concurrency control in a parallel database. Very fine granularity (at the level of B-tree records) is implemented in a B-tree. Our method applies to B-trees, B-trees with variable keys, and their applications, such as semantic and object-oriented databases. Our method involves accumulating a transaction and then "optimistically" validating it, while attaining high efficiency with maximum semantic safety. "Lazy queries"--an efficient method for finding the intersection of two large queries--is provided for the system.