Abstract: A blind detection method and system for a PDCCH. The method comprises: acquiring PDCCH data; grouping the PDCCH data according to a location identifier of a resource element, and obtaining soft bit data according to each set of PDCCH data after grouping; acquiring control channel soft bit data from the soft bit data; determining DCI data according to the control channel element soft bit data; and acquiring a random access radio network temporary identifier according to the DCI data, to complete blind detection of a PDCCH. The technical solutions in the present application are applicable to a case in which an RNTI of a user is not determined, can ensure accuracy of blind detection of a PDCCH, and greatly reduce a calculation amount and a calculation time.

Abstract: A blind detection method and system for a PDCCH. The method comprises: acquiring PDCCH data; grouping the PDCCH data according to a location identifier of a resource element, and obtaining soft bit data according to each set of PDCCH data after grouping; acquiring control channel soft bit data from the soft bit data; determining DCI data according to the control channel element soft bit data; and acquiring a random access radio network temporary identifier according to the DCI data, to complete blind detection of a PDCCH. The technical solutions in the present application are applicable to a case in which an RNTI of a user is not determined, can ensure accuracy of blind detection of a PDCCH, and greatly reduce a calculation amount and a calculation time.

Abstract: A fuel vapor recovery control system includes a controller, a recovery electrical motor, a fuel vapor switching valve, a fuel vapor recovery pump, a fuel tank, a fueling pump, a fuel gun, and a temperature sensor connected in sequence. A fueling flowmeter is arranged on a fueling pipeline, in signal connection with the controller, the recovery electrical motor and the fuel vapor recovery pump in sequence. The temperature sensor is in signal connection with the controller for controling the recovery electrical motor and the fuel vapor recovery pump by temperature signals. The fuel vapor recovery control system includes a fuel vapor flowmeter for measuring the fuel vapor recovery amount, in signal connection with the controller for controling the recovery electrical motor and the fuel vapor recovery pump by fuel vapor recovery amount signals. The fuel vapor recovery ratio is between 1-1.4. A method of adopting the system is provided herein.

Abstract: A system and method for data flow classification based on a configurable rule-engine, is presented herein. In accordance with an embodiment of the invention, the system includes a data flow managing mechanism configured to identify, track, and manage the data flows and a rule set, which includes a plurality of rules for comparing information contained within data flow with pre-specified values. The system also includes a configurable classification rule engine for classifying the data flows into one of a plurality of traffic classes based on results of the comparisons. The configurable classification rule engine is configured via a configuration file that specifies and allows for the modification and reconfiguration of the pre-specified values and information regarding the data flows, the rule set, and the traffic classes.

Abstract: Currently there are two techniques used to classify data packet flows, those techniques being static and dynamic. A proper combination of these two techniques can allow for the advantages of both techniques to be gained while reducing their respective disadvantages. With this combined flow classification method a flow is classified initially with the use of a static classification method while, at the same time, a dynamic classification method is initiated. If at any point during the dynamic classification method, the classifications derived from the static and dynamic algorithms converge, the flow's classification is henceforth assigned by the dynamic classification method. If a predetermined number of packets or length of time that would be required for the dynamic and static classification algorithms to converge is exceeded, the flow's classification, once again, is henceforth assigned by the dynamic classification method.

Abstract: A technique for dynamically assigning a packet flow to transmission channels can result in more efficient use of the channels when compared to static assignment techniques. Using this technique for dynamic assignment, an initial channel assignment is made based upon a channel specification corresponding to a flow classification indication within the first packet of the flow. Subsequently, the flow classification indications of further packets within the flow are monitored for changes. If it is detected that a flow classification indication has changed when compared to the previous flow classification indication, it is determined whether the previous channel assignment satisfies a channel specification corresponding to the new flow classification indication. If it is determined that the previous channel does not satisfy this new channel specification, a modified channel assignment is generated for the subsequent packets of the flow.

Abstract: Systems and methods applicable in the context of the TCP/IP suite of protocols explicitly are provided which allow for separate and preferential treatment of L4-L7 control packets compared to the treatment of L7 data packets. This provides a performance gain at the cost of providing such preferential treatment for high error and long delay channels such as wireless links. Advantageously, channel utilization may be increased, for example by 5-50% depending on link conditions, on high error and long delay transmission links. More generally the invention distinguishes between control packets such as transport layer (for example, TCP, OSI Layer 4 or L4) and application layer (for example, OSI Layer 7) control packets and data packets, and transmits the control packets with higher reliability and lower delays. The benefit may be significant for IP applications where data objects transferred are small and are bursty, e.g., Web browsing and e-mail access.

Abstract: A method and apparatus for dynamically classifying TCP-based traffic, is presented herein. In accordance with an embodiment of the invention, the method includes defining a first class to classify TCP data streams requiring interactive data transactions, a second class to classify TCP data streams requiring small data transactions, and a third class to classify TCP data streams requiring large data transactions. A rule set containing rules to define transitions between the defined classes, is established and an incoming TCP data stream as pertaining to the first class and detects attributes of the TCP data stream. The TCP data stream may include a single data transaction or may include a plurality of data transactions. Based on the detected attributes and the rules, the method dynamically classifies the TCP data stream into one of the defined classes.