Methods and systems for providing data communication in medical systems are disclosed including a data communication unit to transmit one or more signals related to the monitored analyte level received from the analyte sensor to a remote device.

Analyte monitoring system and methods

A wireless telecommunication system comprises base stations for communicating with terminal devices. One or more base stations support a power boost operating mode in which a base station's available transmission power is concentrated in a subset of its available transmission resources to provide enhanced transmission powers as compared to transmission powers on these transmission resources when the base station is not operating in the power boost mode. A base station establishes an extent to which one or more base stations in the wireless telecommunications system support the power boost operating mode conveys an indication of this to a terminal device. The terminal device receives the indication and uses the corresponding information to control its acquisition of a base station of the wireless telecommunication system, for example by taking account of which base stations support power boosting and/or when power boosting is supported during a cell attach procedure.

Telecommunications apparatus and methods

In a mobile communication method by which a mobile station (UE) transmits a control signal to a radio base station (eNB) in an uplink by using an uplink dedicated resource, different methods for determining whether or not a synchronization state is established in the uplink, are used depending on whether or not the uplink dedicated resource is set up.

Mobile communication method and radio base station

A method is provided for modifying an image. The method comprises displaying an image, the image comprising a portion of an object; and determining if an edge of the object is in a location within the portion. The method further comprises detecting movement, in a member direction, of an operating member with respect to the edge. The method still further comprises moving, if the edge is not in the location, the object in an object direction corresponding to the detected movement; and modifying, if the edge is in the location, the image in response to the detected movement, the modified image comprising the edge in the location.

Information processing apparatus, information processing method and program

An integrated system includes a system user interface (SUI) that provides an iconic, at-a-glance representation of integrated security system status. The SUI is for use across all client devices including mobile or cellular telephones, a mobile portal, a web portal, and a touchscreen device. The SUI includes a number of display elements presented across all types of client devices for monitoring status of the integrated security system. The display elements of the SUI include an orb icon, text summary, security button, device warnings, system warnings, interesting sensors, and quiet sensors. The SUI thus provides system status summary information agnostically across all clients. Additionally, the SUI provides consistent iconography, terminology, and display rules across all clients as well as consistent sensor and system detail across clients.

Cross-client sensor user interface in an integrated security network

Methods, devices and systems for detecting suspicious or performance-degrading mobile device behaviors intelligently, dynamically, and/or adaptively determine computing device behaviors that are to be observed, the number of behaviors that are to be observed, and the level of detail or granularity at which the mobile device behaviors are to be observed. The various aspects efficiently identify suspicious or performance-degrading mobile device behaviors without requiring an excessive amount of processing, memory, or energy resources.

Adaptive Observation of Behavioral Features on a Mobile Device

Methods, systems and devices for generating data models in a client-cloud communication system may include applying machine learning techniques to generate a first family of classifier models that describe a cloud corpus of behavior vectors. Such vectors may be analyzed to identify factors in the first family of classifier models that have the highest probability of enabling a mobile device to better determine whether a mobile device behavior is malicious or benign. Based on this analysis, a second family of classifier models may be generated that identify significantly fewer factors and data points as being relevant for enabling the mobile device to better determine whether the mobile device behavior is malicious or benign based on the determined factors. A mobile device classifier module based on the second family of classifier models may be generated and made available for download by mobile devices, including devices contributing behavior vectors.

On-line behavioral analysis engine in mobile device with multiple analyzer model providers

Local breakout is provided by one or more nodes (e.g., a local access point and/or a local gateway) in a wireless network to facilitate access to one or more local services. In conjunction with local breakout, multiple IP points of presence relating to different levels of service may be provided for an access point. For example, one point of presence may relate to a local service while another point of presence may relate to a core network service. IP point of presence may be identified for an over-the-air packet to indicate a termination point for the packet. Also, different mobility management functionality may be provided at different nodes in a system whereby mobility management for a given node may be provided by a different node for different types of traffic. Thus, an access terminal may support multiple NAS instances. In addition, different types of paging may be provided for different types of traffic. Furthermore, messages associated with one protocol may be carried over another protocol to reduce complexity in the system.

Providing multiple levels of service for wireless communication

Handover parameter settings are automatically adapted in access points in a system to improve handover performance. Reactive detection techniques are employed for identifying different types of handover-related failures and adapting handover parameters based on this detection. Messaging schemes are also employed for providing handover-related information to access points. Proactive detection techniques also may be used for identifying conditions that may lead to handover-related failures and then adapting handover parameters in an attempt to prevent such handover-related failures. Ping-ponging may be mitigated by adapting handover parameters based on analysis of access terminal visited cell history acquired by access points in the system. In addition, configurable parameters (e.g., timer values) may be used to detect handover-related failures.

Adaptation of handover parameters

Person detection and tracking techniques may be used to estimate pedestrian traffic in locations equipped with cameras. Persons detected in video data from the cameras may help determine existing pedestrian traffic data. Future pedestrian traffic estimation may be performed to estimate pedestrian traffic characteristics (such as volume, direction, etc.) Such traffic estimation may be provided to users for route planning/congestion information. A traffic map can be derived based on the number of people at or expected to be at certain locations. The map may be provided to users to provide traffic data and/or estimations.

Rajarshi Gupta

Papers

Adaptive Observation of Behavioral Features on a Mobile Device

On-line behavioral analysis engine in mobile device with multiple analyzer model providers

Providing multiple levels of service for wireless communication

Adaptation of handover parameters

Image and video based pedestrian traffic estimation