Abstract: The disclosed system may include a watch band, a watch body comprising at least one image sensor configured to capture a wide-angle image, a coupling mechanism configured to detachably couple the watch body to the watch band, and at least one biometric sensor on at least one of the watch band or the watch body. Various other related methods and systems are also disclosed.

Abstract: A computer-implemented method is disclosed for saving content. The method can include receiving, by one or more computing devices from a user at a first time, a first user input directed to a portion of a web page; receiving, by the one or more computing devices at a second time after the first time, a second user input describing a search query, and providing for display, by the one or more computing devices, data describing the portion of the web page in response to receiving the second user input.

Abstract: A door breach device can include: an elongate shaft having a first end and an opposite second end; a pivot mechanism at the first end of the shaft; a spearhead rotatably coupled with the pivot mechanism and having a tip on a tip-side of the pivot mechanism and having a shaft cavity on a shaft-side, where the shaft cavity is adapted to receive the shaft therein; a restraint slidably received on the shaft-side of the spearhead and on the shaft; a handle protruding from the shaft; and a hitch at the second end of the shaft. A method of breaching a door can include: forcing the spearhead through a door until the restraint releases the spearhead and the spearhead rotates by the pivot mechanism so as to form an angle with the shaft; and pulling the spearhead against the door until the door is breached.

Abstract: Examples of the present disclosure describe systems and methods for identifying anomalous network behavior. In aspects, a network event may be observed network sensors. One or more characteristics may be extracted from the network event and used to construct an evidence vector. The evidence vector may be compared to a mapping of previously-identified events and/or event characteristics. The mapping may be represented as one or more clusters of expected behaviors and anomalous behaviors. The mapping may be modeled using analytic models for direction detection and magnitude detection. One or more centroids may be identified for each of the clusters. A “best fit” may be determined and scored for each of the analytic models. The scores may be fused into single binocular score and used to determine whether the evidence vector is likely to represent an anomaly.

Abstract: A mobile telecommunications device configured to log driving information associated with a vehicle is described.

Abstract: A lighted temporary barrier having a body of at least one length of hollow translucent tubing, a string of LEDs with a power source, and connectors on each end for coupling to a structure such as a traffic cone or traffic tube so as to provide a solid barrier between the two structures. The body may be made of at least a first length of translucent tubing forming a body and an optional second length of translucent tubing fitting within the first length of translucent tubing to form an extendible body. Alternatively, the body is made from a plurality of telescoping tubes, in one or both ends. The LED strand may be secured within the body or to the outside of the body.

Abstract: A mobile bathroom assembly with a support frame member assembly operably configured to attach to a trailer hitch and support a lower shell and an upper shell. The lower shell includes a bottom wall and a sidewall enclosing a lower shell cavity and having a lower sidewall door. The bottom wall includes a toilet assembly coupled thereto fluidly coupled to a liquid supply tank and a circulation pump operably configured to induce a flow of liquid from the liquid supply tank to the toilet assembly. The upper shell also includes a sidewall surrounding a ceiling wall and defining an upper shell cavity, wherein the upper shell is operably configured with a motor assembly to extend upwards and contract downwards with respect to the lower shell to increase and decrease the internal assembly height and lower and upper shell cavities within the lower and upper shells.

Abstract: A method includes evaluating a transaction using a first swarm member to generate a first cooperative prediction related to the transaction. The first cooperative prediction is based, at least in part, a first affinity value of the first swarm member to one or more other swarm members. The method also includes evaluating the transaction using a second swarm member to arrive at a second cooperative prediction related to the transaction. The second cooperative prediction is based, at least in part, on a second affinity of the second swarm member to one or more other swarm members. A swarm prediction related to the transaction is generated based on both the first cooperative prediction and the second cooperative prediction.

Abstract: A mobile telecommunications device configured to log driving information associated with a vehicle is described.

Abstract: The disclosed system may include a watch band, a watch body comprising at least one image sensor configured to capture a wide-angle image, a coupling mechanism configured to detachably couple the watch body to the watch band, and at least one biometric sensor on at least one of the watch band or the watch body. Various other related methods and systems are also disclosed.

Abstract: The disclosed system may include a watch band, a watch body comprising at least one image sensor configured to capture a wide-angle image, a coupling mechanism configured to detachably couple the watch body to the watch band, and at least one biometric sensor on at least one of the watch band or the watch body. Various other related methods and systems are also disclosed.

Abstract: A mobile telecommunications device for providing an in-vehicle driver warning system during a vehicle journey using sensed driving information and local traffic information is described.

Abstract: A battery system for an electric motor vehicle comprises first and second battery cartridges that are installed in corresponding first and second battery compartments of the electric motor vehicle. The first battery cartridge has a power connector port with at least one of a shape, size, configuration and orientation that is different than the corresponding power connector port of the second battery cartridge. The first and second battery compartments are physically spaced apart and electrically coupled together by a bridging power cable. The bridging power cable comprises first and second connector ends that extend respectively into the first and second battery compartments, and the first connector end mates more easily with the first power connector port than with the second power connector port, and the second connector end mates more easily with the second power connector port than with the first power connector port.

Abstract: A computer-implemented method is disclosed for saving content. The method can include receiving, by one or more computing devices from a user at a first time, a first user input directed to a portion of a web page; receiving, by the one or more computing devices at a second time after the first time, a second user input describing a search query, and providing for display, by the one or more computing devices, data describing the portion of the web page in response to receiving the second user input.

Abstract: The disclosed system may include a watch band, a watch body comprising at least one image sensor configured to capture a wide-angle image, a coupling mechanism configured to detachably couple the watch body to the watch band, and at least one biometric sensor on at least one of the watch band or the watch body. Various other related methods and systems are also disclosed.

Abstract: Examples of the present disclosure describe systems and methods for state-based entity behavior analysis. In an example, entities of a computing environment may be represented using a hierarchical entity web. In some examples, an entity may have a state associated with it, which may be modeled using a place/transition (PT) network. Events within the computing environment may be evaluated by transitions of a PT network to determine whether an entity should change state. If an entity transitions from one state to another, one or more actions may be performed, including, but not limited to, taking a remedial action, generating a recommendation, and updating the state of one or more associated entities. Thus, aspects disclosed herein may provide a high-level overview of the state of entities of a computing environment, but may also be used to view in-depth information of entities at lower levels of the hierarchical entity web.

Abstract: Examples of the present disclosure describe systems and methods for state-based entity behavior analysis. In an example, entities of a computing environment may be represented using a hierarchical entity web. In some examples, an entity may have a state associated with it, which may be modeled using a place/transition (PT) network. Events within the computing environment may be evaluated by transitions of a PT network to determine whether an entity should change state. If an entity transitions from one state to another, one or more actions may be performed, including, but not limited to, taking a remedial action, generating a recommendation, and updating the state of one or more associated entities. Thus, aspects disclosed herein may provide a high-level overview of the state of entities of a computing environment, but may also be used to view in-depth information of entities at lower levels of the hierarchical entity web.

Abstract: Examples of the present disclosure describe systems and methods for identifying anomalous network behavior. In aspects, a network event may be observed network sensors. One or more characteristics may be extracted from the network event and used to construct an evidence vector. The evidence vector may be compared to a mapping of previously-identified events and/or event characteristics. The mapping may be represented as one or more clusters of expected behaviors and anomalous behaviors. The mapping may be modeled using analytic models for direction detection and magnitude detection. One or more centroids may be identified for each of the clusters. A “best fit” may be determined and scored for each of the analytic models. The scores may be fused into single binocular score and used to determine whether the evidence vector is likely to represent an anomaly.