393 results about "Analysis of algorithms" patented technology

A method for identifying a botnet in a network, including analyzing historical network data using a pre-determined heuristic to determine values of a connectivity graph based feature in the historical network data, obtaining a ground truth data set having labels assigned to data units in the historical network data identifying known malicious nodes in the network, analyzing the historical network data and the ground truth data set using a machine learning algorithm to generate a model representing the labels as a function of the values of the connectivity graph based feature, analyzing real-time network data using the pre-determined heuristic to determine a value of the connectivity graph based feature for a data unit in the real-time network data, assigning a label to the data unit by applying the model to the value of the connectivity graph based feature, and categorizing the data unit as associated with the botnet based on the label.

A technique is provided for offering feedback, including feedback for patient care and for training purposes for medical professionals and human operators. The technique includes accessing data, such as image data, for evaluation by a human operator. The data is then analyzed via a computer-assisted data operating algorithm, and the analysis may further include analysis of supplemental data accessed from an integrated knowledge base. Based upon the analysis feedback is provided to the operator, such as for completing or complementing the evaluation, correcting analysis by the human operator, or otherwise informing the human operator of similarities or differences between the analyses.

A method of predictive baseline volume profile creation for new volumes in a networked storage system and a system for dynamically reevaluating system performance and needs to create an optimized and efficient use of system resources by changing volume profiles as necessary. The system gathers statistical data and analyzes the information through algorithms to arrive at an optimal configuration for volume clusters. Clusters are then reallocated and reassigned to match the ideal system configuration for that point in time. The system continually reevaluates and readjusts its performance to meet throughput requirements specified in the quality of service agreement

Systems and methods for health data management are disclosed. In one embodiment, a method of monitoring health information for a multi-platform system includes receiving health information from one or more subsystems of a plurality of platforms, and analyzing the health information using one or more reasoner algorithms configured to predict a potential failure of the one or more subsystems. Upon prediction of a potential failure, the method includes providing a prognostic characteristic of the one or more subsystems. In alternate embodiments, the method may further include translating at least some of the health information for each of the one or more subsystems into a common format, and storing the translated health information into a database for subsequent analysis.

The invention provides a software performance optimization method based on a CPU multi-core platform. The method comprises software characteristic analysis, parallel optimization scheme formulation and parallel optimization scheme implementation and iteration tuning. Particularly, the method comprises application software characteristic analysis, serial algorithm analysis, CPU multi-in/thread parallel algorithm design, multi-buffer design, design of communication modes among threads, memory access optimization, cache optimization, processor vectorization optimization, mathematical function library optimization and the like. The method is widely applicable to application occasions with multi-thread parallel processing requirements, software developers are guided to perform multi-thread parallel optimization improvement on prior software rapidly and efficiently with short developing periods and low developing costs, the utilization of system resources by software is optimized, data reading and computing and mutual masking of write-back data are achieved, the software running time is shortened furthest, the hardware resource utilization rate is improved apparently, and the software computing efficiency and the software whole performance are enhanced.

A directional tap detection algorithm and a single tri-axis accelerometer (10) are employed to extend the number of unique button less input commands available for a small mobile electronic device (12) such as a cell phone or a MP3 player. The algorithm analyzes acceleration data from the tri-axis accelerometer (10) to detect the direction and number of taps imparted to any of the six sides (14) of a housing (13) of the device (12), yielding 12 unique inputs. The algorithm employs a parameter referred to as the performance index (PI) to identify tap induced movements. The PI is determined by calculating the time derivative of each acceleration signal for each axis and then calculating the sum of the absolute values of the calculated acceleration derivatives. A tap is determined to have occurred if the sum exceeds a threshold value for a predetermined amount of time. If a second tap is detected within a predetermined time after the first tap, then a double tap is determined to have occurred.

An electronic device is provided. The electronic device includes a communication module, a memory configured to store multiple recognition algorithms for analyzing user activities, and a processor configured to acquire activity schedule information related to a user activity; select at least one recognition algorithm among the multiple recognition algorithms, at least based on the acquired activity schedule information; and analyze activity information related to the user activity, using the at least one recognition algorithm, thereby providing activity guide information related to the user activity.

An image processing system for predicting ovulation using a test channel for collecting saliva sample and a miniature camera for capturing the image of the saliva at dried state for analyzing the crystalline patterns for ovulation prediction. A rotary bristle element is attached to the drive head and a notch-like test channel traverses the width of the drive head. A conductivity sensor is mounted on a wall of the test channel for detecting filling and drying of the saliva sample. An algorithm in the microprocessor analyzes the image of the dried saliva and calculates the characteristic line length of line segments of connected saliva dots. A ferning index is also defined and calculated based on the percentage of area coverage of line segments which are exceeding the threshold line length. Trend curves are established based on the daily saliva analysis in a woman's menstrual cycle for predicting days from the ovulation.

A method and apparatus for determining a geographic location of a scene in a captured depiction comprising extracting a first set of features from the captured depiction by algorithmically analyzing the captured depiction, matching the extracted features of the captured depiction against a second set of extracted features associated with reference depictions with known geographic locations and when the matching is successful, identifying the geographic location of the scene in the captured depiction based on a known geographic location of a matching reference depiction from the reference depictions.

The invention relates to the field of in-vehicle living body detection technologies and particularly discloses an in-vehicle living body detection system based on a millimeter-wave radar. The system comprises a front-end perception module, an algorithm analysis module and a control execution module, wherein the front-end perception module is connected with the algorithm analysis module and is usedfor transmitting a millimeter-wave radar signal, acquiring an echo signal reflected back by a target and preprocessing the echo signal; the algorithm analysis module is connected with the control execution module and is used for acquiring human micro-motion frequency parameters according to the preprocessed echo signal and obtaining a result of whether a living body or a living body sign anomalyexists in a vehicle or not through the human micro-motion frequency parameters; and the control execution module is used for controlling the vehicle to do a corresponding action according to the result obtained by the algorithm analysis module. Through the system, living body detection in a vehicle flameout state and detection of the in-vehicle living body sign anomaly during normal travel are realized, and vehicle safety is enhanced on another dimension.

Method for detection of skimming devices comprising detecting electromagnetic emissions by sensors of the invention located inside of ATM. Electromagnetic emission is monitored in broad band of 10 kHz to 30 MHz and narrow band, and only one determined frequency is passed through filters in the narrow band, and sensors' output is analyzed and processed according to algorithm of the invention. Alarm signal is generated upon achieving pre-assigned threshold chosen so that discriminating between useful signal and interference is not obstructed. The method is implemented by device comprising sensors for detecting electromagnetic emissions, microcontroller for controlling the sensors, master microcontroller for processing of sensors' output, and notifying module for sending signals to control center. According to the invention sensor is provided for detecting electromagnetic emissions comprising receiving, regulating, filtering and converting parts.

The present invention provides a corpus-independent method for determining relevancy of terms to content of text appearing in a document by analyzing the document itself. Conventional information extraction, or other methods, may be applied to a document to generate a list of terms. The invention analyzes the document using relevancy scoring algorithms to determine a term relevancy score representing the term's relevance to the text contained in the document. The scores, including an aggregate score, may be normalized in the process. Based on relevancy scoring, terms are then ranked and further processed. In this manner relevancy is determined based on the subject document itself and by analyzing the occurrences and locations of the terms within the document. Additional techniques may be applied to relate the relevancy scores generated by the present invention to a corpus or collection of documents.

The invention discloses an integrated support system and method for management and control of a power distribution network. A data layer comprises a data access processing unit for integrating and standardizing the collected data associated with the distribution network according to the common information model to form the pattern data, the historical data and the document data, and store respectively in the relational database, a sequential database and a distribution database. A service layer comprises a digital simulation model, a distribution terminal detection model and a distribution automation master station system test model called by an application layer, and the service layer realizes data interaction of all distribution models and assessing control of distribution equipment by equipment detection and matching and object accessing middleware/distributed file accessing middleware. The application layer comprises a distribution network operation analysis unit, a distribution network terminal detection unit and a distribution automation main station system detection unit, wherein the distribution network operation analysis unit calls a digital simulation model and uses a distribution network digital simulation algorithm to analyze the current network running states by combining with the distribution network related information in the data layer.

The invention discloses a heuristic route segment path-finding method for ship route design, comprising heuristic search, a heuristic shortest route segment path-finding algorithm analysis method, an A* algorithm heuristic principle and an improved shortest path algorithm, wherein the heuristic route segment path-finding algorithm puts forwards a method establishing a navigable path tree to reduce meaningless path searching time by being based on a point to point navigable line algorithm and combining with the A* algorithm heuristic principle. By analyzing the particularity of the route segment path-finding algorithm based on a vector diagram in the ship route design, the route segment path-finding algorithm is improved according to an analysis result, the accuracy of a generated route segment path is enhanced and the path-finding efficiency is further increased. Lands, islands and other barriers positioned on a map of the world are expressed by polygons in the vector diagram, and route segment path-finding is to finally find an optimal route segment from communicated paths which are generated between the two outer points of the polygons without passing through the polygons.