326 results about "Sequence pattern" patented technology

The present invention relates to an optical navigation system for determining a pose, which includes the position and orientation of an object in an environment. The optical navigation system uses a number of beacons affixed at known locations in the environment to provide electromagnetic radiation in a sequenced pattern. An on-board optic images the radiation from the beacons onto an on-board centroid sensing device to obtain an imaged distribution of the radiation on the on-board centroid sensing device. The centroid sensing device determines the centroid of the imaged distribution and provides centroid information to a navigation unit for determining the pose of the object from the centroid. The navigation system is particularly well-suited for navigating hand-held objects.

A frequency hopping sequence generator system (40) for use in a radio telecommunications system utilizes variable frequency offsets (FO) to determine a frequency hopping sequence for use in communication between a mobile station and a network node. The frequency hopping sequence generator comprises a frequency offset hopping generator (42) which chooses the variable frequency offsets so that the frequency hopping sequence provides intra-cell interference diversity. For each mobile station, the frequency offset hopping generator determines a frequency offset index (FOI) which is mapped to one of plural possible frequency offsets (FO). The frequency offset index (and thus the corresponding frequency offset) is determined to provide the frequency hopping sequence with both interference diversity and orthogonality. The frequency offset index has a first component and a second component. The first component of the frequency offset index is an inter-cell component that provides, e.g., collision diversity between FO hopping sequences that are not orthogonal. The second component is an intra-cell component that provides orthogonal (non-colliding) sequences with a variable difference between two sequences. The intra-cell component sub-generator can operate in either a “short sequences” mode or a “long sequences” mode. The long sequences mode renders adjacent frequency collision rates between two sequences with equal FOHSN independent of the choice of the two different FOSEEDs selected. On the other hand, the short sequences mode yields higher collision rates between certain pairs than between other pairs.

The invention relates to data mining in the field of network security and especially relates to a method for mining an attack frequent sequence mode from a Web log. The method comprises the following steps: collecting website access log files, website information and attack feature codes; analyzing a website log structure, matching analyzed URLs with the collected attack feature codes, obtaining attack records, and clearing up the URLs; performing user identification on attack log data and distinguishing manual attacks and attacks of a loophole scanner; respectively performing session identification to obtain a sequence database of the manual attacks and a sequence database of the loophole scanner; converting a character string database into a digital database, and respectively mining a frequent sequence of the sequence database by use of a sequence mode mining method; and maximizing the frequent sequence obtained through mining and converting a sequence mode into visual figure language. The process is indicated in the first graph. The method provided by the invention can realize visualization of an attack mode and explores a scanning sequence in the loophole scanner.

A method and apparatus is provided for significantly speeding-up program execution in a data processing device. The data processing device is provided with a specialized instruction region storage section comprising content addressable memory (CAM) and random access memory (RAM) that operatively functions as an instruction sequence reuse table which is capable of registering / storing sequences of program instructions and corresponding instruction sequence output data as input / output (I / O) groups for potential future use in place of re-executing identical portions of program code. The data processing device includes at least one instruction stream processor which includes a computing unit for executing instructions and a dependency relationship analysis unit or “reuse window” unit (RW) that analyzes instruction sequence patterns from regions of instructions stored in a main memory to determine if the patterns can be divided up into smaller partitions that have no interdependencies and hence are potential candidates for reuse.

The invention relates to an on-line position prediction method based on mass of space trajectory excavation and belongs to the field of space trajectory excavation. The method comprises the steps of firstly, excavating frequent sequential patterns from the mass of space trajectory excavation, secondly, using the sequence patterns to establish a model based on a prefix tree structure, thirdly, establishing a model based on distance and popularity to solve the zero frequency problem, and finally, using the established predication models to predict the next position of a moving target according to the current trajectory information of the moving target. The accuracy of the prediction method is improved greatly compared with the existing methods, the calculation complexity is low, real-time prediction can be carried out on the position of the moving target, only the position information of the moving target is needed, and therefore the on-line position prediction method based on mass of space trajectory excavation can be widely applied to the fields such as intelligent traffic and services based on geographic positions.

The invention provides an online identification method for a network multi-step attacking intention, wherein the method extracts characters of the received security incident warning message, carries out a pattern matching based on a character and attacking action happening sequence pattern collection. If the pattern matching is success, degree of association between fore and aft security incident warning messages according to the pattern matching is computed, and the network multi-step attacking relation between the security incident warning messages is recorded based on a compared result of the degree of association and a threshold value thereof. The invention filters the security incident with pattern matching but without association relation by computing the degree of association, and the real time online detect is realized by real time reporting a matching process and result.

The invention discloses a dynamic user behavior-based cloud forensics method and a dynamic user behavior-based cloud forensics system; the formalized definition of dynamic user behavior is put forward as basis; and the method comprises the steps of: collecting dynamic user behavior and behavior data, and storing the behavior data as primary evidence data; carrying out data integration, data cleaning and data mining to form forensic analysis data, and storing the forensic analysis data into a data analysis library (key value database); using Map Reduce to carry out correlation analysis, sequence pattern analysis and isolated point analysis on the forensic analysis data, and digging out the potential user behavior patterns and the possible aggressive behavior to form forensic evidence; and displaying the forensic evidence in a visual way. The high performance computing power of cloud computing and large-scale distributed-memory environment are applied into computer forensic analysis, so that various problems in cloud computing forensics can be solved.

The present invention relates to an optical navigation system for determining at least one parameter of a pose, which includes the position and orientation of an object in an environment. The optical navigation system uses a number of beacons affixed at known locations in the environment to provide electromagnetic radiation in a sequenced pattern. An on-board optic images the radiation from the beacons onto an on-board centroid sensing device to obtain an imaged distribution of the radiation on the on-board centroid sensing device. The centroid sensing device determines the centroid of the imaged distribution and provides centroid information to a navigation unit for determining at least one parameter of the pose of the object from the centroid. The navigation system is particularly well-suited for navigating hand-held objects.

A time-series pattern finding apparatus, includes decomposing unit decomposing a condition, which indicates a condition of time-series relationship between first elements each defined as including first events each including an attribute and an attribute value of the attribute, into a partial condition, determining unit determining whether the partial condition holds for each potential events, each potential characteristic event sets, and each potential time-series patterns, calculating unit calculating frequency of occurrence in the time-series data items only for fourth events in the potential events, first sets in the potential characteristic event sets, and first patterns in the potential time-series patterns, which satisfy the partial condition, and extracting unit extracting a potential event, a potential event set and a potential time-series pattern from the fourth events, the first sets and the first patterns, respectively, based on the frequency of occurrence not less than a threshold value, as a time-series pattern.

A method and apparatus for performing mobility measurement in a communication network (100) is described. The method includes of receiving a subframe sequence pattern from a node in the communication network (100). The subframe sequence pattern indicates types of subframes being transmitted by a neighboring cell node (104) in a neighboring cell (112). The method includes receiving a subframe from a sequence of subframes transmitted by the neighboring cell node (104) in the neighboring cell (112), and determining that the received subframe is a multicast subframe based on the subframe sequence pattern. The method then includes performing a single cell-specific reference symbol measurement in response to determining that the received subframe is the multicast subframe.

The present technology pertains to unilaterally interleaving individual data packets of long bursts of multi-packet messages in various sequence patterns to be sent to one or more receivers over a network. Before determining a pattern, the sending device attempts to reduce the transmission length of the long bursts of the data packets into multiple chunks. Subsequently, the sending device generates a sequence pattern of the individual data packets and consecutively transmits these packets to their respective receivers. The determined sequence pattern may be based upon outbound limits at the sender, inbound limits at the one or more receivers, and various transmission priorities. Moreover, the sender may limit the data flow of any message transmission. The present technology does not require feedback from the network's components or from the network itself to micro flow control the individual data packets.