232 results about "Technique analysis" patented technology

Techniques may automatically detect bots or botnets running in a computer or other digital device by detecting command and control communications, called “call-backs,” from malicious code that has previously gained entry into the digital device. Callbacks are detected using a distributed approach employing one or more local analyzers and a central analyzer. The local analyzers capture packets of outbound communications, generate header signatures, and analyze the captured packets using various techniques. The techniques may include packet header signature matching against verified callback signatures, deep packet inspection. The central analyzer receives the header signatures and related header information from the local analyzers, may perform further analysis (for example, on-line host reputation analysis); determines using a heuristics analysis whether the signatures correspond to callbacks; and generally coordinates among the local analyzers.

Systems and methods for analyzing the content of online conversations using data mining technologies are provided. Methods and systems for utilizing the results of data mining technology implementation to retrieve relevant advertising content and/or other relevant information for display in association with the content of an online conversation are also provided.

The invention provides novel compositions and methods for the analysis of gene expression (e.g., expression profiling) using microarray-based technology. In some embodiments of the invention, the novel methods use gene-specific as well as universal amplification primers during sample preparation, and the methods permit the simultaneous analysis of multiple samples on the same microarray. Furthermore, some embodiments of the invention incorporate barcode sequences into the amplified products, thereby permitting the use of generic arrays and generic labeled probes.

A method and system for providing trading indicators for selected instruments traded in a market such as stocks, currency contracts, bonds, commodities contracts, options contracts, and futures contracts. The method and system create trading indicators using Time and Sales data as provide by exchanges or financial data providers. The method comprise parsing time, price and volume of individual transactions into a collection of volume per price bracket per time interval quantities, wherein each quantity is an aggregate volume of transactions executed during one of a set of sequential time intervals and executed at prices within one of a set of price brackets. The method generate trading indicators by using mathematical algorithms to score individual volume per price bracket per time interval quantities corresponding to an evaluation time interval against a population of individual volume per price bracket per time interval quantities corresponding to a set of previous time intervals. The system generates trading indicators in real time, without the time lag associated to traditional technical analysis indicators. The method and system can also generate trend indicators based on analysis of volume accumulation, and defines trading indicators based on maximum volume prices.

A method and apparatus for augmenting the conventional price-time chart used for technical analysis of securities price movements. In a preferred embodiment, the method takes a conventional Bar Chart or Japanese Candlestick Chart with a definite timeframe and then for each bar on the chart; it statistically quantifies the volume and time distribution throughout the range of the bar into discrete elements, using price and volume data within the bar interval from a sub-timeframe. The discrete elements are then graphically overlaid on the bar in a way which preserves its original appearance as close as possible. The apparatus is an application software which implements the method by displaying the conventional price-time chart, calculating the relevant elements and overlaying the values on the chart bars, either in a static or real-time market setting.

A technique (and corresponding system) for controlling access to insertion opportunities in a multi-channel streaming media system is provided. The technique receives parameters for access to the insertion opportunities from multiple advertisers, such as desired audience viewership profile characteristics. The technique evaluates the received parameters to select which advertisers gain access to the insertion opportunities to place promotional content. The technique analyzes an audience of the placed promotional content and identifies which of the possible promotional content optimizes the value of the insertion opportunities or other maxima. Unlike traditional advertising in which advertisers pay per expected viewership, the technique may be arranged to charge advertisers only for a targeted audience that viewed the placed promotional content. The technique thus enables advertisers to access disparate insertion opportunities and to target an audience at lower cost without having to establish relationships with owners of insertion opportunities.

The invention is in the field of using a computer implemented method to calculate and provide recommendations for stock share investment timing. The process gathers price and volume data of listed firms from as many stock markets as implemented, only condition being that those markets price data are available over the Internet, in order to be able to automate the process. Analysing and calculation methods used within the process differ from those used in typical technical stock analyses in that the invention takes advantage of the known price history and uses statistical mathematics to categorize the current price to a recommended action: "sell', "buy' or "hold', while the most famous technical analysing methods typically try to predict the share price in the near future. The clear benefits of the process are that, after being set up properly, the process does not need human intervention, except in rare special cases, and furthermore, the calculated results are very easy to interpret even by persons without much experience in stock investing. Performance statistics clearly show that remarkable increase in profit of stock share investments can be gained by using the recommendations. The method has been implemented in a form of WWW-service and it is usable globally via the Internet. The method has been donated as StockMapper.

Product data from a manufacturing process is analysed using techniques adapted from the study of chaos. Future values of a series of product data are predicted and an attractor structure is determined from the product data. This enables the manufacturing process to be monitored, controlled and analysed. Action can be taken to modify the manufacturing process using the results from the prediction and attractor structure to reduce costs and improve performance and efficiency.

A thin film analysis system includes multi-technique analysis capability. Grazing incidence x-ray reflectometry (GXR) can be combined with x-ray fluorescence (XRF) using wavelength-dispersive x-ray spectrometry (WDX) detectors to obtain accurate thickness measurements with GXR and high-resolution composition measurements with XRF using WDX detectors. A single x-ray beam can simultaneously provide the reflected x-rays for GXR and excite the thin film to generate characteristic x-rays for XRF. XRF can be combined with electron microprobe analysis (EMP), enabling XRF for thicker films while allowing the use of the faster EMP for thinner films. The same x-ray detector(s) can be used for both XRF and EMP to minimize component count. EMP can be combined with GXR to obtain rapid composition analysis and accurate thickness measurements, with the two techniques performed simultaneously to maximize throughput.

A system for intelligent market trading implemented with a neural network system (Machine Learning) comprising an input, one or more processors and an output. The input comprises a database of price of a symbol and a pair in a timeframe. The first processor is configured to receive the respective input to generate a technical analysis, a trading signal, and a market report with a probability value. The second processor generates a coefficient for regulating the probability value of the generated trading signals and technical analysis using fuzzy logic systems alongside of a neural network system. The third processor computes the correlation coefficient of symbols under Mesh topology and regulates the resultant probability value of each trading signals and technical analysis. The output comprises a processor to receive and evaluate the individual resultant probability values of the generated trading signals and technical analysis and delivers an output data. The output data is sent via notification to a user for detecting a suitable spot for placing their orders in the financial market.

The invention belongs to the field of data mining, aims to solve the problem of excavating core authors in an academic field and intelligently extracting related information of the authors, and provides an improved academic core author excavation and information extraction method and system based on a core node discovery algorithm in the social network analysis technology. The method combines the vertical search technology, the social network analysis technology and the text analysis technology, and can find the core authors or groups of the academic field in the mass of information to further obtain related information of the authors. The method uses the vertical search technology to collect open source literature data, uses the bibliometric technology and the complex network analysis technology to analyze the importance of a variety of social entities in the data, and utilizes a community discovery algorithm to perform entity clustering based on the closeness degree of relationships between entities to find out an academic community. Users can find the core authors or an institution according to an entity importance ranking, and find the leadership team according to published articles amount distribution of cooperative groups.

The invention provides a method for quickly recognizing carbonate formation lithologies while drilling. The method includes the first step that the different lithologies are judged; the second step that rock debris of the different lithologies are sampled and are analyzed through the X-ray fluorescence element logging technology, and the Ca element pulse content and the Mg element pulse content are counted; the third step that rock debris of the different lithology centers are sampled, the Mg pulse content and the Ca pulse content of the different lithology centers are counted, and the average interval between the Mg pulse content and the Mg pulse content at the lithology center and the average interval between the Ca pulse content and the Ca pulse content at the lithology center are calculated; the fourth step that the Ca pulse content average value and the Mg pulse content average value of different lithologies are calculated respectively, then logging lithology recognition standards are obtained, and a lithology interpretation chart is established. The method achieves accurate recognition of the lithologies while drilling, judges that whether a horizontal well track passes through dolomite or not in time, and then provides a scientific basis for the necessity of adjustment of a track of an undrilled well segment and for predicament of the track of the undrilled well segment.

Method for computing all-terminal reliability for arbitrarily interconnected networks such as the United States public switched telephone network. The method includes an efficient search algorithm to generate minimal cut sets for nonhierarchical networks directly from the network connectivity diagram. Efficiency of the search algorithm stems in part from its basis on only link failures. The method also includes a novel quantification scheme that likewise reduces computational effort associated with assessing network reliability based on traditional risk importance measures. Vast reductions in computational effort are realized since combinatorial expansion and subsequent Boolean reduction steps are eliminated through analysis of network segmentations using a technique of assuming node failures to occur on only one side of a break in the network, and repeating the technique for all minimal cut sets generated with the search algorithm. The method functions equally well for planar and non-planar networks.

The invention provides an electricity market simulating system by adopting an SOA technology, which realizes global simulation for current electricity market of the country, provides technical support means for simulating electricity market operation and electricity system operation in different environmental conditions and market behaviors, globally evaluating market status, preventing market risks, verifying market rules, studying safe and stable operation strategy and measures of the electricity system under electricity market condition, and training electricity market related working staff, and provides a reliable technical analysis tool for high-efficiency excellent operation of the electricity market of the country.

The invention provides a system for the quantitative detection of a quanta dot mark test bar and a detection method thereof. The system comprises a quanta dot mark test bar, a test bar rack, a scanning system, a photovoltaic conversion system, an analog-to-digital converter, a data processing device, an output display device, a printer, a keyboard and an IC card matched with the test bar. The data processing device reads the parameters of the IC card and then controls the test bar rack to move so as to make the scanning system automatically scan a test bar detection band and a quality control band, the acquired signals are transmitted back to the data processing device by the photovoltaic conversion system and the analog-to-digital converter, so that the optical density values of the detection band and the quality control band undergo recognition, concentration counting and technical analysis, and the detection results are finally transmitted to the output display device for display. The system has the advantages of high detection sensitivity, objective results, flexible use, and the like.

A method of formation recognition in technical analysis relies on the use of pivot points. A formation of interest is defined in terms of extreme points. The extreme points can be characterized in relation to one another as a series of local or global extrema in corresponding intervals. The method numbers the pivot points in reverse chronological order and attempts to match pivot points with the extreme points of the formation of interest. The first pivot point is assigned to the first extreme point of the formation. A second pivot point is selected from the interval defined by the first pivot point and the highest numbered pivot point that is a high or a low, as required by the formation. Subsequent pivot points are selected from intervals determined based on the formation and previously determined intervals. A formation is recognized if corresponding pivot points are identified for all extreme points in the formation.

The present invention relates to a method of diagnosing colorectal cancer in human samples using several novel protein markers. The markers have been identified by assaying a number of tissue and serum samples from healthy individuals and persons diagnosed with colorectal cancer by means of protein chip technology using mass spectrometry. Differential expression pattern of these markers are indicative of a person having colorectal cancer patient. The diagnosis is based on comparing at least one intensity value, obtained using the method, to a reference value.

The methods and apparatus, disclosed herein are of use for sequencing and/or identifying proteins, polypeptides and/or peptides. Proteins containing labeled amino acid residues may be synthesized and passed through nanopores. A detector operably coupled to a nanopore may detect labeled amino acid residues as they pass through the nanopore. Distance maps for each type of labeled amino acid residue may be compiled. The distance maps may be used to sequence and/or identify the protein. Apparatus of use for protein sequencing and/or identification is also disclosed herein. In alternative methods, other types of analytes may be analyzed by the same techniques.