140 results about "Systematic process" patented technology

A method and system are presented in which content, and in particular, audio files and Audiobooks, are present on, or are downloaded to, a storage device which can also contain a player. Playing of the content is authorized through successful correlation of identifiers in the content and the storage device.

An intelligent financial card system, process and article that allows more secure E-commerce transactions with Internet merchants by avoiding the transfer of financial card information to the merchants, while at the same time advantageously employing portions of infrastructure already used in conventional financial card E-commerce transactions. The intelligent financial card verifies itself and acts as its own transaction authorization agent during an E-commerce transaction, thus eliminating the need for a third-party transaction authorization agent and resultant costs to the merchant. The intelligent financial card better protects a merchant against fraudulent E-commerce transactions by providing a customer identity verification system that more reliably verifies that the person using financial card information for the E-commerce transaction is the actual person authorized to do so.

A system and method for minimizing the amount of photographic data to be collected to reconstruct a model of a three-dimensional object such as a building. In one embodiment a systematic process is used to collect survey and detailed photographic data from designated facades and architectural components of the facades to be processed into graphical tiles. The graphical tiles are textured or coated onto a three-dimensional wireframe model of the building. In one embodiment, the amount of photographic data to be collected is based on the footprint of the building, the height of the building and the number of unique facades and architectural details on the facades. In one embodiment, photographic data of the objects surrounding the building is also collected for modeling with the building. The virtual three-dimensional building models can be incorporated into the virtual three-dimensional city model which is a realistically accurate depiction of a city environment including all the details of an actual city.

A server-side system that detects and classifies malware and other types of undesirable processes and events operating on network connected devices through the analysis of information collected from said network connected devices. The system receives information over a network connection and collects information that is identified as being anomalous. The collected information is analyzed by system process that can group data based on optimally suited cluster analysis methods. Upon clustering the information, the system can correlate an anomalous event to device status, interaction, and various elements that constitute environmental data in order to identify a pattern of behavior associated with a known or unknown strain of malware. The system further interprets the clustered information to extrapolate propagation characteristics of the strain of malware and determine a potential response action.

A device and a process for analyzing a medical condition of a user. This device and process can also be used to predict a future abnormal medical condition of the user. The device includes a portable information-receiving device, an information processing device and a remote storage and processing device. These three devices may be in communication with each other via a wireless communication system. This device can include a GPS system for locating the user when the user is having an abnormal medical condition. The process is designed to take a digital signal from a plurality of ECG sensors on the portable information device and form a QRS wave. One or more points are extracted from this QRS wave are used to form a QRS complex wave. QRS complex waves are used to analyze the medical condition of the user. A plurality of parameters are calculated from these points on the QRS wave. If the medical condition of the user is in an abnormal range then an alarm will sound. However, if the user is not in an abnormal range, then the device may also predict the possibility of a future occurrence of an abnormal medical condition in the user.

A method and apparatus for monitoring a computer to detect operating system process manipulation by malicious software programs is disclosed. In one embodiment, a method for detecting operating system process manipulation through unexpected process behavior includes accessing process behavior indicia regarding memory addresses used by at least one user mode process to request computer resources and comparing the process behavior indicia with a user mode request to identify operating system process manipulation.

The invention discloses an energy saving method for a circulating water system. The method comprises the following steps: firstly, detecting duty parameters of the current operation of the system andparameters of related devices; then, in accordance with the principle of economic operation of the circulating water system, creating a standard for the balance test and the calculation of the systemenergy by starting with a circulating water pump group, a pipe network, a heat-exchange device, a refrigeration device, a cooling tower and the like, analyzing the use efficiency of the system energy,evaluating the current use efficiency index of the system energy, and finding out the cause for the high energy consumption of the system; finally, by combining production process requirements, accurately finding out the optimum operating point where the devices are matched with the liquid transportation, and giving an optimum solution for the process energy of the system so as to achieve the purposes of high efficiency and energy saving. By detecting and analyzing the circulating water system, the invention provides a comprehensive, systemic and thorough energy saving method for the circulating water system.

A method and system for receiving, processing and responding to emergency medical calls by emergency dispatchers is described. A consistent, standard and systematic process is provided which in combination with adequate training, supervision and quality assurance serves to provide a method for gathering emergency medical information, categorizing such information into various determinant levels for appropriate response, and for giving qualified emergency medical information to callers thereby permitting “zero-time” response by those at the scene. By using this invention properly a dispatcher is guided through the interrogation of callers, gathering the critical information, dispatching the appropriate mobile care rapidly when needed and, especially in this embodiment, giving the appropriate guidance to the caller. This invention specifically guides the dispatcher through the universal exit protocol, thereby using determinate criticality values to identifying the most urgent emergencies and give consistent reliable post-dispatch instructions.

The invention relates to a process industry system fault analysis device based on complex network theories and a method therefor. The device comprises a system structure information base, a man-machine interaction module, a process data management module, a system network characteristics analysis module and a process fault analysis module. The process fault analysis device and the method provided by the invention can be employed for identifying the key parts of the process system, reducing the process monitoring variables and solving the problem that the selection of monitoring point position depends on people's knowledge or experience; meanwhile, the invention makes the best of real-time data information of the process industry process system, thereby ensuring monitoring over the process fault is more instantaneous and accurate; and the utilization of the system domain knowledge improves the fault recognition and separation capability of the traditional PCA monitoring method.

Rapid, efficient, and systematic processes and apparatuses for making repeatable imprints on multiple, individual sweet dough pieces are provided. An advantage of the process is the ease of making uniform imprints that are aligned with the individual dough pieces as formed and deposited. Such provides the ability to create a three-dimensional pattern on the surface of a sweet dough piece, particularly a soft cookie dough piece. The methods can be accomplished by high-speed wire cutting production methods as well as other dough piece depositing apparatuses, such as roller-type depositors.

The invention relates to a decentralized process monitoring method, which comprises the steps as follows: in step one, data is acquired; in step two, acquired data is processed through blocking partition; in step three, partitioned data is mapped to feature space; in step four, a systematic process is processed through modeling; and in step five, failure detection and identification are performed by utilizing principal component statistic T<2> of observed data and residual error statistic SPE of observed data. The decentralized process monitoring method has the advantages as follows: the method is suitable for a complex large-scale systematic process; the advantages of kernel partial least square method and blocking partial least square method can be achieved; the complexity of nonlinear process analysis is reduced at the same time; and the identification capability is enhanced.

The invention provides methods for optimizing a database management system process of a query. The methods are suitable for execution in a properly configured computer system. In an embodiment of the invention, a plurality of single column statistics are collected for a plurality of columns. This plurality of single column statistics provides an estimate of row counts and unique entry counts for a singe column operator. A preferred single column statistic is selected from the plurality of single column statistics according to a predetermined criteria. The preferred single column statistic is then stored. A selectivity estimate is then determined for predicates in the query using the preferred single column statistic. The selectivity estimate is used in optimizing processing of the query by the database management system.

The invention discloses a method for model mismatching detection and positioning of a multivariate predictive control system in a chemical process. By aiming at the typical hierarchical control system in the traditional process industry, the model mismatching detection and positioning is carried out respectively on a multivariate system and all univariate subsystems in the multivariate system. The method comprises the steps of: acquiring residual errors of the multivariate system in a predicative control layer on the basis of an orthogonal projection method, constructing a monitoring statistic computing engine, and acquiring the residual errors, sensitive to process dynamic characteristic variation only, of the univariate system on the basis of an auxiliary variable identification method.In the invention, closed-loop operation data is adopted directly and additional information of the system is not needed; rapid detection and positioning can be made just by utilizing a small amount of data so that fewer disturbances are made to a working condition; and the mismatching information of process models of all univariate subsystems in the multivariate system can be positioned so as to eliminate the influence of the disturbances. By means of the method disclosed by the invention, the accurate model mismatching information can be obtained rapidly at lower cost, the maintenance cost of the predictive control system can be reduced, the service life of the predicative control system can be prolonged and the gain can be improved.

Optimization of machine intelligence utilizes a systemic process through a plurality of computer architecture manipulation techniques that take unique advantage of efficiencies therein to minimize clock cycles and memory usage. The present invention is an application of machine intelligence which overcomes speed and memory issues in learning ensembles of decision trees in a single-machine environment. Such an application of machine intelligence includes inlining relevant statements by integrating function code into a caller's code, ensuring a contiguous buffering arrangement for necessary information to be compiled, and defining and enforcing type constraints on programming interfaces that access and manipulate machine learning data sets.

For bridges over waterways which are susceptible to scour, the load carrying capacity of the substructure may be reduced by scour. These bridges must be evaluated for reduced load rating and/or posting limits. Here, the substructure load rating is used in connection with calculating the bridge load rating. This is often limited by the substructure load carrying capacity and the tolerable deformation. Thus, bridges impacted by scour need to be judged based on both the superstructure and substructure components. The system/process to assess the substructure load rating uses an analytical method which combines numerical methods and empirical calculations to predict the behavior of a bridge's superstructure and substructure. Limited instrumentation is installed at critical locations on the bridge. The measurements are then used to verify and refine predictions to arrive at a substructure load rating which is usable with the superstructure load rating to define a safe load carrying capacity.

The invention provides a KF (Kalman Filter) tracking method based on fading memory exponential weighting. The method comprises the following steps: a state error covariance matrix P and a systematic process noise matrix are acquired; an estimated predictive state parameter value shown in the description of a moving object at the moment k is calculated, and innovation covariance C0,k at the momentk is calculated; innovation gamma k at the moment k is calculated, an estimated innovation covariance value shown in the description at the moment k is calculated, weighting coefficient beta k at themoment k is calculated, and the fading factor lambda k at the moment k is further calculated; a predictive state error covariance matrix Pk|k-1 and Kalman gain Kk at the moment k are calculated, and an estimated state value shown in the description and a state error covariance matrix Pk are further calculated, wherein a calculation method for the estimated innovation covariance value at the momentk is shown in the description, and the weighting coefficient [beta i] decays following the law of negative exponent. The problem of poorer precision of the traditional windowing average method for calculating innovation residual vector estimation is solved, and innovation residual estimation precision is improved effectively, so that the method has higher precision and robustness.

A system and process that involve a digital computer storage comprising block locations having physical block addresses and logical block addresses representing a relational database configuration of cells at logical intersections of sequences of rows and columns that specify a sequence of records and a sequence of attributes. A key attribute is a unique identifier that corresponds to the date/time instance of entry of a selected record into the database system. The arrangement is such that a succession of records corresponds to a succession of date/time instances of entry into the database system. This arrangement facilitates selection of a range of electronic records that is outside a range of electronic records that may be subject to hardware or software malfunction or corruption, facilitates the timed periodic storage and destruction of electronic records pursuant to an archive schedule, and reduces storage fragmentation by which seek time delay is reduced.

The invention comprises a system, method, and computer program product that enables any stakeholder that has responsibility for responding to hazardous incidents with a systematic process whereby they can optimize and continuously improve their abilities to reduce the harm caused by such incidents. This process is tailored to the stakeholder's individual characteristics and practices but also facilitates comparability between stakeholders and provides methods to evaluate the potential consequences of each attack form, prioritize investments in mitigative activities and to evaluate the efficacy of such investments.

A systematic procedure for the synthesis of hybrid feedforward control architectures for pulse-width modulated (PWM) switching converters is provided. In this hybrid feedforward control architecture selected converter variables are sensed and utilized in a particular way based on the converter open-loop characteristics to determine the duty-cycle needed to achieve a control objective. Compared to standard feedback control techniques, advantages can include simpler controller implementation, more convenient sensing, and improved static and dynamic regulation. An example systematic procedure for developing hybrid feedforward controllers is illustrated by first considering a previously known example of hybrid feedforward control: hybrid feedforward control of a boost power factor correction (PFC) rectifier operating in discontinuous conduction mode (DCM). The hybrid feedforward control synthesis principles are also used to realize new hybrid feedforward control architectures, such as a four switch buck boost converter.

A systematic process is disclosed for isolating customer issues with computer systems and implementing solutions to those issues. A basic troubleshooting methodology provides a systematic approach by which a technician can efficiently define and resolve a customer's problem. The methodology seeks to identify the symptoms and scope of a customer's problem and provides a series of interrelated and layered steps for arriving at a solution to the problem.

The invention discloses a gray model (GM) (1,1) prediction method of orthogonal interpolation based on Markov chain. According to the grey orthogonal method and the principle of the Markov chain, the Gauss-Chebyshev orthogonal thought is used to predict overall trend of time-series data. Accuracy of the prediction is time-varying, the principle of the Markov chain has good advantages during the process of processing a time-varying system, and choosing the GM (1,1) prediction method of the orthogonal interpolation based on the Markov chain can solve the instability of the prediction result better, and therefore the grey Markov orthogonal model is put forward for the prediction of data of electricity consumption, and is suitable for a dynamic prediction process which is of a short-middle term, low in demanded quantity of data and large in data amplitude. The GM (1,1) prediction method of the orthogonal interpolation based on the Markov chain is scientific in inventive concept, simple to calculate, small in work load, and high in prediction accuracy, and good in usage value and wide in application range in the technical field of prediction.

The invention relates to the technical field of nuclear reactor core measure system detector signal processing, and particularly discloses a rhodium self-powered detector signal delay elimination method based on Kalman filtering. The method comprises the following steps: 1, establishment of a nuclear reaction model of rhodium and neutron; 2, establishment of a Kalman filtering model; and 3, rhodium self-powered neutron detector current signal delay eliminating by use of the Kalman filtering, to be more specific, 3.1, acquisition of system process white noise variance matrix Q and system observation white noise variance matrix R of kalman filtering algorithm; and 3.2, collection of rhodium self-powered detector current value for analog-to-digital conversion, and rhodium self-powered neutron detector current signal delay eliminating by use of the Kalman filtering. The rhodium self-powered detector signal delay elimination method based on the Kalman filtering can perform noise suppression on measured current signals, and can ensure that noise magnification times can be inhibited at 1-8 times in the case of small enough response time.