682 results about "Analysis working" patented technology

A work station for simultaneously performing multiple assays includes a base structure, a receptacle rack assembly received within a receptacle rack well formed in the base structure, a pipette tip rack assembly received within a pipette tip rack well formed in the base structure, a multiple conduit substance transfer device, and substance transfer device positioning structure. The receptacle rack assembly holds a plurality of receptacles in which a plurality of individual assays are performed, and the pipette tip rack assembly holds a plurality of contamination limiting pipette tips. The substance transfer device is capable of simultaneously dispensing substances into two or more receptacles or simultaneously removing substances from two or more receptacles. Alternatively, the substance transfer device is capable of simultaneously dispensing substances into two or more receptacles, and, at about the same time, simultaneously removing substances from two or more receptacles. The positioning structure permits the substance transfer device to be positioned with respect to the receptacle rack assembly or the pipette tip rack assembly.

The invention relates to an infrared behavior identification method based on adaptive fusion of an artificial design feature and a depth learning feature. The method comprises: S1, improved dense track feature extraction is carried out on an original video by using an artificial design feature module; S2, feature coding is carried out on the extracted artificial design feature; S3, with a CNN feature module, optic flow information extraction is carried out on an original video image sequence by using a variation optic flow algorithm, thereby obtaining a corresponding optic flow image sequence; S4, CNN feature extraction is carried out on the optic flow sequence obtained at the S3 by using a convolutional neural network; and S5, a data set is divided into a training set and a testing set; and weight learning is carried out on the training set data by using a weight optimization network, weight fusion is carried out on probability outputs of a CNN feature classification network and an artificial design feature classification network by using the learned weight, an optimal weight is obtained based on a comparison identification result, and then the optimal weight is applied to testing set data classification. According to the method, a novel feature fusion way is provided; and reliability of behavior identification in an infrared video is improved. Therefore, the method has the great significance in a follow-up video analysis.

A central server controls the receipt and analysis of patient medical data and patient information. The central server receives patient medical data and patient information from a remote computer. A storage system stores the received patient medical data, patient information, and the associated medical report prepared at analysis workstations at any location after analysis of the patient medical data. A processor controls access to and analysis of the patient medical data by analysis workstations and controls access to the medical report. The central server transmits the patient medical data to and receives the associated medical report from analysis workstations. The central server transmits the medical report associated with the patient medical data to the remote computer. Also, a method controls the acquisition and analysis of patient medical data over a network by a central server from a remote computer operably interconnected by the network with the central server.

The invention provides a behavior characteristic similarity-based malicious code homology analysis method, which comprises the steps of: firstly extracting and quantifying behavior characteristics representing malicious codes based on a dynamic binary pile platform, on this base, measuring the similarity of the behavior characteristics among different malicious codes, and reflecting a homology judgment result of the malicious codes with the similarity of the behavior characteristics. By using the invention, the malicious codes collected in a network can be subject to homology analysis, and a powerful support is provided for tracing of a subsequent attack source. The method can correctly reflects the homology among samples of the malicious codes, correctly differentiates the samples of the malicious codes without homology, and has important guidance and reference significances in analysis work of the homology of the malicious codes.

An automated system adaptation technique for computer systems, networks and subsystems generally and, more particularly, for data storage systems. The invention programmatically designs, configures and manages a system, such as a data storage system. This is accomplished by performing a sequence of steps in an iterative loop, including analyzing the operation of the system under a workload, generating a new design based on the analysis and migrating the existing system to the new design. By systematically exploring a large design space and developing designs based on analyses of the workload, the invention generates designs that are improved in comparison to conventional design techniques. By programmatically repeating these tasks, the invention causes the system to converge to one that supports the workload without being over-provisioned.

A system and method for estimation and analysis of operational parameters in workflow processes in order to establish effect of parameters on one or more critical parameters is provided. The method includes creating a Bayesian network including one or more operational nodes representing one or more operational parameters and one or more critical nodes representing one or more critical parameters. The method further includes generating an evidence set based on market events and deducing inferences based on the generated evidence set and Bayesian engine. Inferences are deduced by determining possible discrete states of operational parameters associated with one or more target nodes and their probability distribution values. Deduced inferences are then validated to confirm strength of probability distribution values. Forecasting for a selected operational parameter is performed by obtaining probability distribution of independent parameters and then performing forecasting for the selected parameter using Bayesian locally weighted regression model.

A method and system for analyzing work in a workplace is provided. The method includes providing a worker database; providing a task database for a plurality of tasks, which includes providing one or more task configurations for each of task and including configuration attributes for the task configurations; matching worker attributes with the task configuration attributes; evaluating the match of the worker attributes with the task configuration attributes; and updating the worker database and the task database upon satisfactory matching of worker attributes with the task configuration attributes. The system includes a worker database, wherein the worker database includes one or more worker attributes; a task database for a plurality of tasks; a user interface for accessing the worker database and the task database for entering worker and task information; and an evaluation module that evaluates a match of worker attributes with the task configuration.

The invention relates to a method for acquiring a people flow on the basis of a video sequence and belongs to the technical field of image processing and video monitoring. The method comprises the following steps of: 1), acquiring a video and obtaining the video sequence by means of sampling; 2) performing coarse detection by using a candidate area detection module so as to obtain candidate target areas; 3) further screening the candidate target areas by using a convolutional neural network based on transfer learning and a support vector machine classifier model so as to obtain a detection target; 4) restricting a candidate target range to be associated according to track prediction; 5) associating target tracks by means of feature matching; and 6) acquiring the people flow by means of track information. The method saves a large number of human resources, prevents error statistics duo to man-made factors, well overcomes the disadvantages of manual counting in some cases, and may accurately locate a single pedestrian in order to provide great significance for subsequent analysis.

The invention discloses an identification method for application layer protocol characteristics, comprising the following processes: capturing a flow packet, selecting an identification mode, pretreating the flow packet, combining a characteristic set in a characteristic database to identify current network flow and displaying an identification result. The characteristic set in the characteristic database is updated timely by adopting a set of data mining AC algorithm based on an Apriori algorithm, thereby improving the accuracy of identifying the application layer protocol, overcoming various disadvantages of identifying network protocols by the traditional manual analysis method, promoting the informatization and intellectualization of application layer protocol analysis work for enterprises and companies, reducing labor source load for enterprises and companies and improving work efficiency and rate of progress.

The invention relates to an SVG technology-based distribution network modeling system. The single-line diagram of the distribution network modeling system is generated according to the following steps: SVG entities are respectively constructed with different patterns according to different types of distribution network structures contained in a distribution model; according to the branch information contained in a distribution network wiring diagram, the basic branch entities of an SVG topological diagram are constructed; node entities and branch entities are respectively constructed with different colors and solid and dotted patterns according to operating states; the entity shape of each equipment in a distribution network is customized in advance; the data of a power grid model are accessed and read; and the single-line diagram of the distribution network is formed by merging, and a closed loop model is automatically generated. The SVG-based pattern vector display technology disclosed by the invention can efficiently and visually display distribution network wiring diagrams in real time. The SVG technology-based distribution network modeling system can effectively increase working efficiency and provide a variety of appropriate topological diagram display modes for users, and is used in various power grid analysis works.

The invention discloses an automatic code rule checking platform, which aims at providing the automatic code rule checking platform which helps developers find and overcome code defects in time. The automatic code rule checking platform is realized through the following technical scheme: codes which are edited or modified by a personal computer terminal are submitted to a configuration management library through a version control software client; an automatic driving system monitors the configuration management library in a polling mode; when the codes in the configuration management library are changed, platform software starts the version control software client to extract updated codes in the configuration management library, and a code analysis tool is called to check a code rule; the version control software client searches for the codes from the configuration management library and submits the codes to the code analysis tool to check the code rule; the code analysis tool executes code analysis work according to the item information, the check condition and the code check rule set configured or set by a terminal user, and the platform software shows check results to the developers.

The invention discloses an information safety penetration testing method for a distribution automation system. Penetration testing is carried out on a master station system, a distribution network terminal and a communication channel, the information system vulnerability penetration testing technology is fully used, the safety of the distribution automation system is evaluated by simulating the attack method of a hacker, and the information safety penetration testing method includes the active analysis for any weakness, technical defects or loopholes of the master station system, the communication circuit and the distribution network terminal. The information safety penetration testing method for the distribution automation system can be used for safety risk analysis work before the distribution automation system is connected to the internet, guidance is provided for finishing problem rectification and reformation and retest work of manufacturers with safety risks, and the method is high in pertinence and wide in test range. Compared with a traditional penetration testing method, the test time can be largely shortened, offline repairing events caused by safety problem failures after equipment is on line are reduced, the information safety penetration testing for the distribution automation system is realized, and the information safety penetration testing method can be applied to industrial control systems inside and outside the industry.

The invention discloses a multi-mode parallel video quality fault detection device and a corresponding method. The device of the invention comprises a video partitioning module, a black field detection module, a static frame detection module, a mosaic detection module, a silence detection module, and a detection result merging module. Correspondingly, the method of the invention also comprises six steps, i.e., a video partitioning step, a black field detection step, a static frame detection step, a mosaic detection step, a silence detection step, and a detection result merging step. The technical scheme of the invention is adopted, through a framework of parallelization analysis, analysis work of video quality is divided to a plurality of CPUs to be carried out, and a corresponding system is realized, thereby greatly improving the speed of video quality examination.

The invention relates to a device for detecting snaking motion instability of a high speed train bogie, which is used for monitoring on-line whether snaking motion instability of the bogie appears during the travel of a high speed train. The device provided by the invention comprises a main controller system and a sub-detection system. The main controller system mainly comprises a man-machine interaction module, a GPS (global position system) module, a data analysis record module and a field bus control module. The sub-detection system mainly comprises a sensor module, a data acquisition module, a data analysis module, a field bus control module and a data storage module. A main controller and the sub-detection system are subjected to data communication through a field bus. The sub-detection system monitors the transverse vibration state of the bogie in real time to judge whether the snaking motion instability appears and transmits instability information to the main controller through a field bus; and the main controller completes analysis of the instability information, combines with the GPS module and a clock module to correctly provide time and space synchronizing information at the moment of the occurrence of instability, then gives out a warning signal and stores the fault information.

The invention provides a method for judging memory leak, comprising the following steps of: when a function application memory is judged aiming at each function in a program, accumulating the memory capacity and the application times of the named function application; when a function release memory is judged, reducing the released memory capacity from the memory capacity of the named function accumulated application and reducing release memory times from accumulated application times; sequencing the memory capacity and the times of the function application in different names in a descending mode by using the memory capacity as priority; ensuring and outputting a level of a memory leak degree according to the memory capacity and the times of the function accumulated application in different names; in addition, the invention provides a system for realizing the method in order to sequence memory distribution and information release according to the memory application times and liberate a programmer from large fussy analytical work.

In one embodiment, functional system elements are added to an autonomic manager to enable automatic online sample interval selection. In another embodiment, a method for determining the sample interval by continually characterizing the system workload behavior includes monitoring the system data and analyzing the degree to which the workload is stationary. This makes the online optimization method less sensitive to system noise and capable of being adapted to handle different workloads. The effectiveness of the autonomic optimizer is thereby improved, making it easier to manage a wide range of systems.

An image forming apparatus determines whether workflow information is included in a received print request. When the workflow information is included in the received print request, the image forming apparatus analyzes the workflow information and calculates a limit date/time to be notified to workers taking charge of respective steps of a workflow. The image forming apparatus prepares E-mail data including information that indicates the limit date/time. The image forming apparatus sends the prepared E-mail by referring to mail addresses of the workers taking charge of the respective steps of the workflow.

A system and method for predicting sudden cardiac death. The system includes a patient monitoring station, a Holter analysis workstation, and a hospital information network. The Holter analysis workstation being operative to apply a plurality of data analysis algorithms to create a sudden cardiac death report. The method applies a first data analysis technique and a second data analysis technique to electrocardiographic data to produce an indication of sudden cardiac death risk.

The invention discloses a method for measuring the stability and imaging indexes of a nuclear magnetic resonance imaging device and is characterized in that: the images of a water phantom are obtained by adopting the nuclear magnetic resonance imaging device to scan the water phantom, the images are transmitted to a specific nuclear magnetic resonance imaging quality assurance and analysis work station by a DICOM protocol, and then the quality assurance and analysis work station is self started and enters a corresponding measurement process (referring to the figure 1 in the abstract of the process) according to DICOM control elements so as to process and calculate the images of the water phantom; the measuring content includes common nuclear magnetic resonance imaging quality assurance indexes, the shifting indexes which have important significance to Functional MRI, and other indexes; meanwhile, an automatic early warning mechanism is established for auto prompting when an abnormal condition occurs and gives the possible reason, and all measured results are sent into a database for long-term analysis of data and evaluation of running state of the device, so as to offer guidance to relevant technicians to master device state and carry out equipment testing.

The invention provides a safety access method with a workflow engine supporting multi-data source configuration. The method includes the steps of workflow engine initialization, multi-data source loading, data transmission encryption, data presentation and the like so that in processing of the multi-data source workflow engine, original data can be integrated for data analysis and diversified visualization functions can be provided. The invention further provides a safety access system with the workflow engine supporting multi-data source configuration. By means of the safety access method and system, multiple visual data display results can be provided for a user, and the user can understand and analyze the workflow engine more easily; meanwhile, different authorities are set for the user to protect data transmission, and thus private data can be protected.

Detecting fraud in financial transactions. The systems and methods manage a fraud detection alert in a fraud queue; automatically locate the associated financial account data; display workflows on a graphical user interface; automatically navigate through workflows; ensure compliance with predetermined rules specific to a account-provider, business, or regulation; store all activity and data related to each fraud detection alert; and automatically update the fraud queue. The systems and methods include a fraud analyst workstation, a workflow engine, a host computer system, and a workflow database. The fraud analyst workstation communicates with the workflow engine, which stores and applies the predetermined rules. The workflow engine communicates with the host computer system to access the financial account data. The workflow engine communicates with a workflow database, which stores all activity and data related to each fraud detection alert for purposes of tracking, billing, and research.

Disclosed are a modular coal automatic sample preparation analysis system and a method. The system is composed of a sample preparation unit, an analysis unit and a control unit; the method includes arranging a nitrogen feeding drying cabinet, an electronic balance, a sample preparation shredder, a vessel storage unit A, an automatic sample separation machine, a sulfur analyzer, an industrial analyzer, a calorimeter and a vessel storage unit B around a robot in a combination mode, and using the robot for achieving works of material handling, assembling, vessel arranging, waste material collecting and the like needed in the sample preparation and analysis working process. According to the modular coal automatic sample preparation analysis system and the method, works of automatic sample preparation and automatic analysis of coal sample raw materials, automatic preparation and sealing for storage of coal samples for back-check, information printing, waste material automatic collection and the like can be achieved. Automatic level in the coal sample preparation and analysis process is improved, work efficiency is enhanced, and labor intensity of workers is reduced; no manual operationerror exists, and accuracy and reliability of analysis results are improved; work environment is improved, and hurts of dust, noise and the like to human health are avoided. The system has the advantages of compact structure, convenience in operation and good utilization effect.