Abstract: This invention is directed to a handgun device and uses thereof.

Abstract: A dynamic hybrid residential threat detection method is disclosed. The method includes receiving, by a packet selector on a customer premises equipment (CPE), communication sessions and selecting and sending, by the packet selector, a predefined number of packets of the communication sessions to a CPE detection engine based on packet selection rules. The method also includes inspecting, by the CPE detection engine, the predefined number of packets of each communication session based on CPE detection rules that establish what type of inspection is to be performed by the CPE detection engine based at least in part on CPE resource constraints. The method further includes sending, by the packet selector, the predefined number of packets of at least some of the communication sessions to a cloud detection engine and blocking particular communication traffic on the CPE based on the inspection and/or an instruction from the cloud detection engine.

Abstract: A dynamic cloud-based threat detection system is disclosed. The system comprises a network broker that receives communication sessions associated with communication device(s) via a network and selects and sends a predefined number of packets of each communication session to a detection based on packet selection rules. The communication device(s) comprises customer premises equipment (CPE) and/or a mobile communication device. The detection engine receives and inspects the predefined number of packets of each communication session and a governor that initiates blocking of particular communication traffic based on the inspection. The system also comprises a dynamic optimizer that monitors factor(s) and creates and sends updated packet rules to the network broker based on the monitoring. The network broker selects and sends a different predefined number of packets of each of a second plurality of communication sessions to the detection engine for inspection based on the updated packet selection rules.

Abstract: A method of dynamic residential threat detection is disclosed. The method includes a packet selection component on a customer premises equipment (CPE) sending a predefined number of packets of each of a plurality of communication sessions to a detection engine based on packet selection rules. The method also includes the detection engine on the CPE receiving and inspecting the predefined number of packets. The method further includes a dynamic optimizing component on the CPE monitoring one or more factors and creating and sending updated packet selection rules based on the monitored factor(s) to the packet selection component. The method additionally comprises the packet selection component sending a different predefined number of packets of each of a second plurality of communication sessions to the detection engine based on the updated packet selection rules. The method further includes the detection engine receiving and inspecting the different predefined number of packets.

Abstract: A carafe containing a heat sink that a liquid such as wine may be poured into is disclosed. The heat sink absorbs the thermal energy of the wine, thereby rapidly cooling it. The heat sink is comprised of a series of fins or energy absorbing masses with a surface area of about 30-40 square inches for every 100 ml of liquid contained in the carafe. The heat sink may comprise a single structure or a plurality of structures operating in unison. The operation of said heat sink may be supplemented by a secondary heat sink comprised of the carafe itself. The invention will chill wine that is poured into it at room temperature by about 15-20 F degrees in approximately 1 minute.

Abstract: This invention is directed to a handgun device and uses thereof

Abstract: The present invention relates to a method for producing protein-containing foamed food products, comprising the steps: metering raw materials into an extruder, wherein at least one raw material is a protein, mixing the raw materials into the extruder to produce a mixture, extruding the mixture to produce an extrudate, and leading the extrudate out of the extruder through a cooling die with cooling of the extrudate to a temperature of less than 100° C., wherein pores are formed in a controlled manner in the extruder, by providing a gas, by introducing the gas into the extruder or by forming the gas based on a reaction of a gas-forming compound added as a raw material with a gas-releasing compound added as a raw material.

Abstract: A cooling tool (1) for a food or an animal feed extruder (E), the cooling tool has: an inlet end (3) at which extrudate (4) can be led into the cooling tool (1); an outlet end (5) where the cooled extrudate can be discharged; an extrudate flow channel (6) extending from the inlet end to the outlet end; and at least one coolant flow channel (7a, 7b, 7b?) connected to the extrudate flow channel in a heat-transmitting manner. In a cross section (X-X) along the primary flow direction (8), the extrudate flow channel is substantially formed as a ring section; and the outer wall (9) of the extrudate flow channel (6) is formed at least from first and second segments (10, 11). The first and second segments are connected to each other by mechanical connection elements (12). The cooling tool is suitable for wet texturing of food and animal feed.

Abstract: A cyber threat attenuation system. The system comprises a cyber threat data store, a plurality of sensor control points (SCPs), wherein at least one SCP is located in each local area network (LAN) segment of an enterprise network, and an analytics correlation system (ACS). Each SCP comprises a plurality of sensor applications that analyze data packets transported by the LAN segment in which the SCP is located and transmits a notification identifying the transmitting sensor, an identity of the source of the data packet, an identity of the destination of the data packet, and a notification reason to the data store. The ACS comprises an application that determines unusual data packet traffic in the enterprise network and transmits a notification comprising information about the unusual data packet traffic and an identity of a host computer associated with the unusual data packet traffic to the data store.

Abstract: A cooling tool (1) for a food or an animal feed extruder (E), the cooling tool has: an inlet end (3) at which extrudate (4) can be led into the cooling tool (1); an outlet end (5) where the cooled extrudate can be discharged; an extrudate flow channel (6) extending from the inlet end to the outlet end; and at least one coolant flow channel (7a, 7b, 7b?) connected to the extrudate flow channel in a heat-transmitting manner. In a cross section (X-X) along the primary flow direction (8), the extrudate flow channel is substantially formed as a ring section; and the outer wall (9) of the extrudate flow channel (6) is formed at least from first and second segments (10, 11). The first and second segments are connected to each other by mechanical connection elements (12). The cooling tool is suitable for wet texturing of food and animal feed.

Abstract: An approach is provided for determining one or more real-time traffic data series associated with one or more road segments over one or more time intervals. The approach involves causing, at least in part, a determination of one or more differences of the real-time data series with one or more historical models. The approach also involves determining whether the one or more real-time difference exceeds a threshold difference. The approach involves causing, at least in part, a selection of one or more other historical models for the one or more road segments over the one or more time intervals based, at least in part, on a determination that the real-time difference exceeds the threshold difference.

Abstract: A cyber threat attenuation system. The system comprises a cyber threat data store, a plurality of sensor control points (SCPs), wherein at least one SCP is located in each local area network (LAN) segment of an enterprise network, and an analytics correlation system (ACS). Each SCP comprises a plurality of sensor applications that analyze data packets transported by the LAN segment in which the SCP is located and transmits a notification identifying the transmitting sensor, an identity of the source of the data packet, an identity of the destination of the data packet, and a notification reason to the data store. The ACS comprises an application that determines unusual data packet traffic in the enterprise network and transmits a notification comprising information about the unusual data packet traffic and an identity of a host computer associated with the unusual data packet traffic to the data store.

Abstract: A cyber threat attenuation system. The system comprises a cyber threat data store, a plurality of sensor control points (SCPs), wherein at least one SCP is located in each local area network (LAN) segment of an enterprise network, and an analytics correlation system (ACS). Each SCP comprises a plurality of sensor applications that analyze data packets transported by the LAN segment in which the SCP is located and transmits a notification identifying the transmitting sensor, an identity of the source of the data packet, an identity of the destination of the data packet, and a notification reason to the data store. The ACS comprises an application that determines unusual data packet traffic in the enterprise network and transmits a notification comprising information about the unusual data packet traffic and an identity of a host computer associated with the unusual data packet traffic to the data store.

Abstract: A cyber threat attenuation system. The system comprises a cyber threat data store, a plurality of sensor control points (SCPs), wherein at least one SCP is located in each local area network (LAN) segment of an enterprise network, and an analytics correlation system (ACS). Each SCP comprises a plurality of sensor applications that analyze data packets transported by the LAN segment in which the SCP is located and transmits a notification identifying the transmitting sensor, an identity of the source of the data packet, an identity of the destination of the data packet, and a notification reason to the data store. The ACS comprises an application that determines unusual data packet traffic in the enterprise network and transmits a notification comprising information about the unusual data packet traffic and an identity of a host computer associated with the unusual data packet traffic to the data store.

Abstract: A cyber threat attenuation system. The system comprises a cyber threat data store, a plurality of sensor control points (SCPs), wherein at least one SCP is located in each local area network (LAN) segment of an enterprise network, and an analytics correlation system (ACS). Each SCP comprises a plurality of sensor applications that analyze data packets transported by the LAN segment in which the SCP is located and transmits a notification identifying the transmitting sensor, an identity of the source of the data packet, an identity of the destination of the data packet, and a notification reason to the data store. The ACS comprises an application that determines unusual data packet traffic in the enterprise network and transmits a notification comprising information about the unusual data packet traffic and an identity of a host computer associated with the unusual data packet traffic to the data store.

Abstract: Methods, apparatuses, systems, and computer program products for providing dangerous driving weather messages in a tile-based system are provided. An example method comprises receiving one or more measurements of one or more weather parameters for a geographic area. The geographic area is represented by a plurality of tiles. The method further comprises processing at least one of the measurements of at least one of the one or more weather parameters to determine a dangerous driving weather score for at least a first tile of the plurality of tiles; identifying a first tile of the plurality of tiles that is experiencing dangerous driving weather based on the dangerous driving weather score for the first tile; generating a dangerous driving weather message; and providing the dangerous driving weather message. The dangerous driving weather message comprises a timestamp, a list of one or more affected tile identifiers, an alert type, and alert information.

Abstract: An approach is provided for determining one or more varying decay rates associated with one or more road segments. The approach involves causing, at least in part, a decaying of real-time traffic data to historical traffic data associated with the one or more road segments based, at least in part, on the one or more varying decay rates. The approach also involves determining one or more traffic predictions for the one or more road segments based, at least in part, on the decaying of the real-time traffic data to the historical traffic data.

Abstract: A cyber threat attenuation system. The system comprises a cyber threat data store, a plurality of sensor control points (SCPs), wherein at least one SCP is located in each local area network (LAN) segment of an enterprise network, and an analytics correlation system (ACS). Each SCP comprises a plurality of sensor applications that analyze data packets transported by the LAN segment in which the SCP is located and transmits a notification identifying the transmitting sensor, an identity of the source of the data packet, an identity of the destination of the data packet, and a notification reason to the data store. The ACS comprises an application that determines unusual data packet traffic in the enterprise network and transmits a notification comprising information about the unusual data packet traffic and an identity of a host computer associated with the unusual data packet traffic to the data store.

Abstract: A monitor module for a turbine flow meter includes a receiver that receives a sequence of pulses sent by the turbine flow meter. A frequency identifier identifies a frequency of the pulses in the sequence of pulses and a mean identifier identifies a mean frequency of frequencies of pulses. An alert system uses the mean frequency to determine when an alert should be issued.