146 results about "Macro level" patented technology

A method and system for supporting a compliance agent in compliance monitoring for anomaly detection (CMAD) involves a primary monitoring system comparing some predetermined conditions of acceptance with the actual data or event. If any variance is detected (an anomaly) by the primary monitoring system, an exception report or alert is produced, identifying the variance. In a simple environment, this identification of the variance fulfils the evidence conditions and determines an instance of non-compliance. However, in a more complex environment, it may only be an indicator of a suspect non-compliant event (SNCE). In the latter case, the compliance agent uses the results of the initial monitoring as well as important information related to the event and requiring judgmental expertise to obtain further evidence of non-compliance. Compliance gents develop propositions or believes, based on their assumption. For each proposition node in the system, the assumption based truth maintenance system maintains a list of minimum sets of assumptions (Boolean cues), which are relevant to the SNCE type. At the macro level, the construct uses the trivalent belief-disbelief-unknown. However, this is refined by applying a measure of importance to individual pieces or empirical evidence.

Systems and methods are described for transforming actual aggregated data (e.g., transaction and terminal data) from a large number of POS terminals into market trend reports that include macro-level trend data and analyses. For example, POS datasets are aggregated from POS terminals distributed across many merchant outlet locations, each POS dataset including location data and transaction data for its respective POS terminal. A reporting request is received for a market trend report corresponding to a designated market over a designated timeframe. A market dataset is identified from the portion of the aggregated POS data corresponding to the designated timeframe and market. Unreliable portions of the data may be discarded. Market trend data is then calculated as a function of the reliable portion of the market dataset, and graphical report data is output as a function of the market trend data in response to the reporting request.

In an access network which supports a mobile IP protocol, a packet data protocol context is opened at support node and a gateway node in order to establish a connection between a mobile node and a mobile IP foreign agent located at the gateway node. A mobile IP registration over the connection is initiated. The gateway node monitors whether the registration is successful or fails. The PDP context is deleted, if the registration irrecoverably fails. If the registration was unsuccessful but a retry could be successful, the PDP context may not deleted, but the registration is retried.

An interlocked pipelined CMOS (IPCMOS) family of logic circuits provides extremely high performance pipelined operation and guarantees error free operation where variations in timing are compensated for automatically by the circuits. The IPCMOS logic circuits also provide a standard interface that makes it possible to interface different macro types easily. The IPCMOS logic circuits feature interlocking in both the forward and reverse directions. This "handshaking" guarantees error free timing and makes it possible to eliminate the need for a global clock at the macro level. Timing signals are generated locally at the macro level from the handshaking signals between macros. This makes it possible for the local circuits to deal with global timing variations caused by power supply noise, ACLV, and parameter variations. The macros operate in a pipelined mode with data advancing automatically from macro to macro with the timing controlled by the local handshaking signals. This pipelined operation results in an extremely fast cycle time. Another feature of IPCMOS is that the data inputs to a macro are only sampled when the data is in a valid state. making the concept of a standard macro interface possible. With this standard interface, different logic types such as static and dynamic circuits can be easily interconnected and the concept of reusable macros becomes a reality.

The invention relates to an indoor emergency evacuation simulation method for a complex building. According to the method disclosed by the invention, a three-dimensional extended hierarchical node relation model (EHI-NRM) of an internal space unit of the complex building is automatically generated, and the update of a dynamic path of a large-scale complex building is supported; an improved cellular automaton model (ICA) can better simulate jam, avoidance, mass-following and other phenomena of a large-scale crowd during the evacuation process; and an optimal evacuation path is searched in real time in the macro-level through an EHI-NRM dynamic path-finding method, and the ICA is applied in the local level for simulating the behavior characteristics of the crowd. According to the method disclosed by the invention, the evacuation simulation of the large-scale crowd in the large-scale complex building is supported, and the method has important application values for ensuring the safety of staff in the building and improving the decision-making capacity of an emergency rescue department.

The invention discloses an ultrathin optical lens construction method based on an artificial microstructure super surface. The ultrathin optical lens construction method comprises the following steps that step (1) required working wavelengths are selected within the range from visible light to intermediate infrared wavelength bandwidth of 600nm-20 microns; incident light irradiates to the artificial microstructure super surface, and phase distribution on the artificial microstructure super surface is calculated according to the required positions of emergent focus points; step (2) rotationally symmetrical periodic structures are designed according to a certain period, and concrete phase values are determined through combination of the obtained phase gradient distribution and the periodic structure units on the surface; and step (3) columnar structures of determined height are selected to act as basic units of the artificial microstructure super surface, and corresponding concrete realization structures are designed according to the phase requirement of each basic unit. The effect of an optical lens at the macro level is realized by the micro-nano structures, the optical size is extremely low under the condition of maintaining high transmittance, and the optical lens is a double-plane lens.

An end user network access point monitors and collects usage statistics associated with all content accessed by the end user devices through the access point. One or more external control servers collect the usage statistics from each access point, thereby compiling macro-level statistics related to content accessed by the end user devices. The one or more external control servers can be co-located with the network equipment of the broadband infrastructure provider, or the one or more external control servers can be independent of the broadband infrastructure.

The invention provides an evaluation method of an energy-saving type power grid. The evaluation method comprises the steps of 1. establishing an evaluation index system of the energy-saving type power grid, wherein the evaluation index system is provided with four kinds of indexes such as power grid structure, power grid operation, power grid management and power grid equipment; 2. dividing the indexes in the evaluation index system into a maximum type, a minimum type and a moderate type; 3. converting the minimum type index and the moderate type index into the maximum type index; 4. carrying out dimensionless treatment on the indexes; 5. removing the correlation among the indexes; 6. empowering all levels of indexes; and 7. determining a comprehensive evaluation result of the four kinds of indexes according to dimensionless values and weights of the indexes. According to the evaluation method provided by the invention, the energy-saving level can be judged according to the evaluation indexes, thus the advantages and the disadvantages of lower carbon and energy saving benefits of the power grid are obtained; the evaluation indexes are divided into four kinds, namely power grid structure, power grid operation, power grid management and power grid equipment, and the energy saving benefit of the power grid is reflected by each kind on a certain macro level.

Some die-stacked memories will contain a logic layer in addition to one or more layers of DRAM (or other memory technology). This logic layer may be a discrete logic die or logic on a silicon interposer associated with a stack of memory dies. Additional circuitry/functionality is placed on the logic layer to implement functionality to perform various data movement and address calculation operations. This functionality would allow compound memory operations—a single request communicated to the memory that characterizes the accesses and movement of many data items. This eliminates the performance and power overheads associated with communicating address and control information on a fine-grain, per-data-item basis from a host processor (or other device) to the memory. This approach also provides better visibility of macro-level memory access patterns to the memory system and may enable additional optimizations in scheduling memory accesses.

A word cloud diagram of a word frequency visual text summary is represented by a word size, and the use efficiency of mass non-structured data is increased remarkably by means of initial screening and induction. Intersection detecting is a difficult point of word cloud visualization, and the conventional algorithm has the defects of high time complexity and low speed since overlapping is performed through pairwise comparison of word groups. The invention discloses a word cloud diagram visualizing method based on an occupation matrix. In the method, intersecting work clouds, word clouds of any angles and word clouds based on occupation matrixes are related. One-by-one comparison is converted into one-time calculation by adopting an occupation matrix, side boundary detection, random positions, rotation canvas and a coordinate conversion technology, so that the complexity is lowered, and overlapping of any angle is eliminated. Inputs are text statistics data of certain formats, outputs are randomly-combined layout word clouds which have the characteristics of profile adaptability, transverse and longitudinal intersection, any angle, dot-matrix abstraction, near big and far small and classification tags, key points of texts are presented on a macro level, and data differences are compared intuitively. The word cloud diagram visualizing method can be widely applied to the fields of text mining and visualization.

The invention discloses a preparation method of polymer photonic crystals with an adjustable photonic band gap and presenting patterned color display, and belongs to the field of polymer materials. The method comprises the steps: hydrogel polymer microspheres having a soft core-shell structure and having a relatively high surface potential and monodisperse size are selected as building base elements, the hydrogel polymer microspheres are allowed to rapidly form a large area ordered structure by electric field deposition and other ways, and the electric field induced assembled polymer photonic crystals having the photonic band gap property and presenting bright structural colors are obtained. According to different load voltages or load times, the hydrogel polymer microspheres on an electrode plate generates different close packing degrees, the soft hydrogel polymer microspheres have different degrees of volume changes, so that a lattice period of the formed photonic crystals can be adjusted, movement of a reflection spectrum peak position (i.e. the photonic band gap) happens, and thus regulation and control of the photonic crystal material structural colors on a macro level is realized.

The invention belongs to the technical field of urban traffic big data mining, and specifically relates to a road traffic hierarchical early warning method based on dynamic traffic information. The method comprises the following steps: acquiring a road average speed; fusing the road average speed; numbering, sequencing and storing the fused road average speed according to a timestamp of a sampling cycle; forecasting a road average speed of next sampling cycle based on a time sequence; and acquiring a road traffic congestion index of next sampling cycle. By adopting the traffic operation hierarchical early warning method for traffic early warning analysis, users can conveniently select and timely change a more appropriate travel route, and traffic managers simultaneously can carry out some traffic regularity studies on meso and macro levels via relevant information to formulate some specific policies. The method is compact in calculation, strong in objectiveness, flexible in calculation, wide in application and high in accuracy of traffic state judgment.

The invention provides graphene and a fabrication method thereof. The fabrication method comprises the steps of obtaining a nano graphite flake by ball-milling of expanded graphite, obtaining partially oxidized graphene by oxidizing, mixing the partially oxidized graphene with a first activator, obtaining micropore graphene by heating and conducting pore-forming for the first time, mixing the micropore graphene with a second activator, and obtaining the graphene by heating and conducting pore-forming for the second time. Compared with the prior art, the graphene with a central pore structure is obtained by taking the expanded graphite as a raw material through weak oxidation and two pore-forming processes. Firstly, the expanded graphite is taken as the raw material and subjected to the ball-milling to be uniformly dispersed, the nano graphite flake with a thinner lamellar structure is obtained, the expansion pore-forming is conducted on the nano graphite flake, and the graphene with a three-dimensional lamellar structure, the central pore structure and a higher specific surface area is finally obtained; and secondly, the weak oxidization is conducted on the nano graphite flake, and the graphene with a short-rang order and long-range disorder structure and a higher tap density at a macro level is finally fabricated.

A method is disclosed for scheduling data management jobs on a computer system that uses a dual level scheduling method. Macro level scheduling using a chained timer schedules the data management job for execution in the future. Micro level scheduling using an algorithm controls the actual dispatch of the component requests of a data management job to minimize impact on foreground programs.

The invention discloses a real-time feedback intelligent electrical stimulation device and a stimulation method thereof. The real-time feedback intelligent electrical stimulation device comprises a human body contact device and the like, wherein the human body contact device, a myoelectricity collector, a stimulation outputting device and a micro processor are all connected with a channel selection switch, the myoelectricity collector and the stimulation outputting device are both connected with the micro processor, the human body contact device is an electrode device integrating stimulation outputting with myoelectricity collecting in the same channel, the channel selection switch is used for switching the work state of the human body contact device between the myoelectricity collector and the stimulation outputting device, the myoelectricity collector collects and processes human body myoelectricity signals, the stimulation outputting device generates stimulation pulse output, and the micro processor is used for carrying out A/D conversion on the myoelectricity signals of the myoelectricity collector and controlling stimulation waveform of the stimulation outputting device. According to the real-time feedback intelligent electrical stimulation device and the stimulation method thereof, stimulation and collection are simultaneously carried out in the macro level, subjective motion wills and requirements of patients are reflected completely in real time, and accordingly the patients are helped to finish motions which the patients want to carry out.

The invention discloses a multi-level state evaluation method of a power transformer. The method is characterized by firstly, constructing a transformer multi-level system capable of reflecting a fault type and a position, and after index selection, reflecting uncertainty of a criterion boundary by obtaining an index deterioration degree and carrying out Gaussian cloud processing; acquiring a comprehensive weight through an association rule and variable weight processing to reflect the uncertainty of the weight; using DSmT to carry out multiple evidence fusion to solve problems of a high conflict and the uncertainty of an evaluation layer; and finally, acquiring the fault type and the fault position of a device, and a whole state of the transformer. The uncertainty problem of the transformer in an evaluation process is solved, and fault diagnosis and health assessment are combined so that an overall health condition of the transformer can be seen at a macro level, and the fault of thetransformer can be discovered from details.

An alignment mark determines alignment of a first and a second exposure on a substrate on a macro level and a micro level. The alignment mark includes a first alignment pattern projected during the first exposure and a second alignment pattern projected during the second exposure. The alignment mark includes a first sub-mark at least partially defined by the first alignment pattern and a second sub-mark at least partially defined by the second alignment pattern. Relative positions of the first and second sub-marks on the substrate are representative for alignment of the first and second exposures on the macro level. At least one sub-mark is defined by image lines of the first alignment pattern and the second alignment pattern, and wherein relative positions of image lines of the first alignment pattern and image lines of the second alignment pattern of the at least one sub-mark are representative for alignment of the first and second exposures on the micro level.

The invention discloses a large-scale IP network BGP routing entry detection method and device, and relates to the field of an IP network and a BGP routing technology. The method comprises the steps that a historical statistical average value N of the number of routing entries broadcasted to an internet by an AS is acquired; the number of routing entries broadcasted by the AS in an internet BGP routing table at the time of t in a predetermined period is acquired; the class variance of the number of routing entries of the AS in the predetermined period is calculated; and degree of deviation of the number of routing entries broadcasted by the AS in the predetermined period is confirmed according to the class variance. According to the method and the device, the fluctuation situation of the number of BGP routing entries broadcasted to the internet by all the AS is quantified via the class variance; the "class variance" criterion is high in real-time performance, simple in calculation and visual and clear in physical meaning; and the change trend of overall BGP routing can be mastered by a network management system from a macro level, and the routing broadcasting behavior of each AS can also be monitored at a micro level on the basis of the criterion so that a fault source can be rapidly positioned.

The invention discloses a preparation method of high-fluidity TiO2 and an organic surface treatment mechanism thereof and belongs to the technical field of TiO2 preparation. The preparation method comprises the following steps: 1, a titanium dioxide crude product is ground and dispersed; 2, inorganic surface treatment is carried out on slurry; 3, suction filtration and washing are carried out on the slurry by the use of deionized water, and the slurry is dried; 4, a cavity in a high-temperature bag filter is preheated, steam pressure is controlled, and steam is conveyed to the high-temperature bag filter; 5, when temperature in the cavity reaches 200-300 DEG C, steam temperature is controlled to 280-300 DEG C; 6, when temperature in the cavity reaches 140-160 DEG C, thermal insulation is carried out on the high-temperature bag filter; and 7, 40-60% of an organosilicone surface treating agent is added into a jet mill, and the dosage is 0.3-0.5 percent; and simultaneously, feeding is conducted to carry out organic surface treatment. In the stage of jet pulverization, organosilicon (silicone oil) is selected to be added so as to carry out organic surfactant coating on TiO2, and by lubrication effect and low surface energy of organosilicon, high fluidity is achieved at macro level.

The invention discloses a job-housing space evaluation method under different scales based on multi-data integration. The method comprises the steps of collecting year-end permanent resident population data, employee data and POI data of a target city; carrying out data processing for a macro level of the city and a medium level of each district; and carrying out an analytic hierarchy process fordifferent types of POI data, differentiating weight of different scales and properties of POI data of the same function, and establishing job-housing space evaluation standards under the different scales. A job-housing space evaluation system under different scales based on multi-data integration comprises a data collection processing module and a job-housing deviation degree index evaluation module. According to the method and the system, job-housing space evaluation technologies under the different scales are established, the city job-housing place space distribution can be identified comprehensively, timely and accurately, the relatively scientific reference basis for city job-housing space and infrastructure layout optimization is provided, and the method and the system can be widely applied to the field of city job-housing space evaluation.

The invention discloses an entity material and truss-like microstructure material integrated non-probability reliability topology optimization method. The method comprises the steps of indirectly realizing establishment of an entity material and truss-like microstructure material double-material interpolation model through utilization of elastic constants of materials; obtaining the elastic constant of a micro-level truss-like microstructure equivalent to macro-level rigidity performance of the materials through utilization of a strain energy equivalent method; describing uncertainty of optimization model parameters through utilization of an interval model, and establishing reliability displacement as a non-probability reliability index; solving the sensitivity of the reliability displacement to design variables through utilization of an adjoint vector method; and updating the design variables through application of an MMA algorithm, and carrying out iterative optimization until the optimum design scheme is obtained. According to the method, in a continuum structure topology optimization process, the entity material and truss-like microstructure material integrated design is effectively realized, influence of uncertain parameters described by the interval model on the structure performance is reasonably represented, and the light weight, safety performance and economy of the structure are effectively improved.