4249results about How to "Improve analysis efficiency" patented technology

The invention discloses a method and equipment for positioning a fault root. The method comprises the steps of: acquiring a service fault to be processed, and finding log information associated with the service fault to be processed according to the service fault to be processed; determining a log analysis strategy corresponding to the service fault to be processed according to a preset relationship between service faults and log analysis strategies; and utilizing the determined log analysis strategy, analyzing the found log information, and positioning to obtain the fault root which causes the occurrence of the service fault to be processed. Thus, once a fault occurs in the service execution process, the fault root causing the service fault can be analyzed quickly by adopting the method and the equipment provided by the invention without consuming a lot of manpower, the manpower resources are saved, the fault root analysis efficiency can be improved, and the use experience of the user using application software can be improved.

The invention discloses an automatic electrocardiogram recognition system. The system comprises an electrocardiogram acquisition device, a wireless/wired network transmission module, an electrocardiogram collection and time domain feature recognizer, an electrocardiogram dominant wave interphase recognizer, an electrocardiogram QRS wave group similarity recognizer and an electrocardiogram queuing recognizer, the electrocardiogram acquisition device inputs acquired data to the electrocardiogram collection and time domain feature recognizer via the transmission module, the electrocardiogram collection and time domain feature recognizer recognizes to obtain positions of peak points of P waves, QRS waves and T waves on a 12-lead, the electrocardiogram dominant wave interphase recognizer recognizes heart rate to obtain normal and abnormal results of the heart rate, the electrocardiogram QRS wave group similarity recognizer recognizes whether an electrocardiogram probably has premature beat or not, and the electrocardiogram queuing recognizer sequences and outputs. The system performs real-time computer-aided analysis of clinically acquired 12-lead electrocardiograms to automatically recognize arrhythmia and premature beat electrocardiograms, and accordingly efficiency of electrocardiogram analysis is improved while a priority processing means is provided for emergency electrocardiograms.

The invention provides a detector for binary-code buffer-zone overflow bugs, and a detection method thereof. The detector comprises six functional modules, namely a debugger module, an input point positioning module, a disassembling module, a symbolic execution module, a loop operation analysis module and an intelligent FUZZ test module. Differing from static symbolic execution, the detection method dynamically loads programs through the self-developed debugger module to synchronously performing symbolic execution and single-step practical execution, and then applies a model to solve each difficulty in binary code analysis so as to test path coverage and detect overflow bugs in accordance with all executable programs of PE format under a Windows platform. The detection can also provide propagation paths of input data and other important information related to bug formation cause while positioning the bugs, only analyzes the selves of the executable programs, needs no source codes, is unrelated to the species of source codes and development tools, and is extensive in applicable occasions, so the detection method has good prospects for popularization and application.

The embodiment of the invention discloses a push method and system based on user feedback information and relates to the technical field of communication networks. According to the push method and system provided by the invention, feedback information of a user can be effectively collected and contents interested by the user are pushed to a user terminal according to the feedback condition of the user, so that the push efficiency is improved. The push method based on the user feedback information provided by the invention comprises the following steps of: collecting the feedback information of the user from the user terminal; gathering the collected feedback information and processing the data format of the feedback information into the data format which can be identified by a recommendation system, wherein the feedback information is used for analyzing keywords which are interested by the user and fields of interests.

The invention discloses a method for merging reboot log, a method and a system for uploading the reboot log and a readable storage medium. The method for merging the reboot log includes receiving and parsing the reboot log uploaded by mobile terminals to obtain reboot types and reboot reasons of the mobile terminals and merging the reboot types and the reboot reasons to obtain reboot keywords; judging whether the reboot keywords are available in reboot problem databases or not; storing the reboot log as a new reboot reason type when the reboot keywords are not available in the reboot problem databases and adding the reboot keywords into the reboot problem databases so as to associatively store the reboot keywords and the new reboot reason type. The methods, the system and the readable storage medium have the advantages that the reboot types and the reboot reasons are merged with one another to obtain the new reboot keywords, the reboot keywords are added into the reboot problem databases, accordingly, the reboot keywords and the new reboot reason type can be associatively stored, developers can know reasons for system reboot only by means of analyzing elements in the reboot problem databases, analysis on repeated types of reboot log can be omitted, and workload can be relieved.

The invention discloses a domain name resolution method, a domain name system (DNS) server and a domain name resolution system. The domain name resolution method mainly comprises the following steps of receiving a domain name resolution request from a client; determining a forwarding DNS server to which the domain name resolution request belongs when no domain name resolution response corresponding to a domain name is cached in local; transmitting the domain name resolution request to a determined forwarding DNS server; and receiving the domain name resolution response obtained after the forwarding DNS server carries out the domain name resolution operation for the domain name information, and transmitting the domain name resolution response to the client. Since different domain name resolution requests are allocated to the forwarding DNS server to which the domain name resolution request belongs, and each forwarding DNS server targets the own domain name resolution request to carry out the domain name resolution, so that the restriction condition among different internet service providers (ISP) can be avoided, the domain name resolution speed is accelerated, the domain name resolution time is shorter, and the resolution efficiency is increased.

The embodiments of the invention provide a fault diagnosis method and apparatus for a rolling bearing. The fault diagnosis method for the rolling bearing comprises the following steps: acquiring vibration signals of the rolling bearing, and solving a time-frequency spectrum of the vibration signals; according to the time-frequency spectrum, determining an optimal order component of the vibration signals; according to the optimal order component, performing angle re-sampling on the vibration signals to obtain angle domain signals; and performing envelope analyzing on the angle domain signals, and determining fault positions of the rolling bearing, wherein determination of the optimal order component comprises: setting an equivalent frequency conversion scope and searching for all order components from the time-frequency spectrum; and calculating order energy of the order components and determining the optimal order component from the equivalent frequency conversion scope. The fault diagnosis method and apparatus for the rolling bearing realize automatic and rapid determination of the optimal order component so as to provide a basis for fault diagnosis of the rolling bearing, improve the fault diagnosis accuracy and avoid interference of manual factors.

The present invention relates to a method of simultaneously detecting a plurality of agro-veterinary drug residues in bee products. The extracted liquid trichloroacetic acid or perchloric acid and the extracted liquid acetate, phosphate or borate solution are added into a sample; the pH value is controlled between 4.5 and 9.0; the mixed solution is centrifuged, the filtrate is added into a solid phase extraction column to be extracted, the extraction column is eluted and dried, the column is washed by oxalic acid-methanol solution, the volume of the eluent is defined by the aqueous solution of methanol, the eluent is added into liquid chromatography-tandem mass spectrometry to be analyzed and tested, the acquired chromatographic peak is contrasted with the known standard chromatographic peak of the drug, and according to the retention time and the abundance of the mass spectrum ions, the specific name of the detected drug is determined. The method only requires one pre-treatment of the sample, and thus can simultaneously extract 11 classes and more than 60 kinds of veterinary drug residues, such as sulfonamides, quinolones, macrolides, lincomycins, nitroimidazoles, beta-lactams, tetracyclines, chloromycetins, trinethoprims, chlordimeform, triadimenol and the like, the efficiency of analysis is high, and the detection cost is greatly reduced.

The invention discloses an emotion data analysis method. The method comprises the steps of obtaining to-be-analyzed data; performing word segmentation processing on the to-be-analyzed data to obtain word segmentation feature data; generating distributed word vectors used for determining semantic relationships among words in the word segmentation feature data according to the word segmentation feature data; according to the feature data of the words in the distributed word vectors, obtaining complete data vectors of the to-be-analyzed data; and performing classified calculation on the complete data vectors according to a learning model to obtain emotion attributes used for determining the to-be-analyzed data. Meanwhile, the invention furthermore discloses an emotion data analysis apparatus.

The invention discloses a visual analysis method and system, and belongs to the field of big data visual analysis. The visual analysis method comprises the steps of collecting data sources for data sources; performing data association on the data sources, and generating a data association library list; on the basis of the data association library list, creating a data library; on the basis of the data library, generating a visual analysis engine; performing visual analysis on the visual analysis engine, and outputting a visual result through an interaction engine. According to the technical scheme, efficient data analysis can be achieved, a project period can be shortened, and data visual analysis and presentation can be achieved.

The invention discloses a weak password analysis method and system and relates to the technical field of computer network information security. With adoption of the method, work units can be split according to the encryption algorithm efficiency, and crack tasks corresponding to the split work units are allocated to a plurality of processing cores of one or more crack servers for execution respectively through a load balancing mode, so that weak password state analysis can be performed according to a dictionary based on a weak password, the weak password analysis method can be optimized, and the purposes of reasonably allocating computing resources and rapidly performing weak password inspection work are achieved. In addition, the method sufficiently makes up the disadvantages that the existing weak password analysis method wastes time and energy, and the server source load is too high, and can ensure that all analysis resources are sufficiently utilized. Furthermore, the embodiment of the invention can also compute the weak password inspection schedule, namely the system dynamically adjusts the crack tasks according to the crack server load condition, and further improves the weak password analysis efficiency.

The invention relates to a blockchain-based domain name resolution system, characterized in that the domain name resolution system adopts a layered structure comprising a top-level domain name chain network, a second-level domain name chain network, a future network node and an existing DNS system network; the top-level domain name chain network links the second-level domain name chain network, the future network node and the existing DNS system network respectively, and the top-level domain name chain network is used for each professional organization to deploy the server nodes having a reliable performance respectively to form a union blockchain network, wherein each node server records the information of all the current top-level domain names, the second-level domain name chain nodes, the future network nodes and the root nodes of the existing DNS system; the second-level domain name chain network is used for the registration and management of domain names, and recording of all the second-level domain names and their subdomain names; the future network node is used for the storage of the metadata and index in the future network. The invention reduces the resolution request, thus effectively improving the efficiency of domain name resolution.

The invention discloses a log parsing method and a log parsing node device, used for providing a high-efficiency strong-adaptability log parsing scheme. The method comprises the steps that a parsing node obtains a log and offset to be matched for indicating unparsed contents in the log; the parsing node parses the unparsed contents indicated by the offset to be matched by using a stored first regular expression so as to obtain field information matched with the first regular expression; the parsing node judges whether a subordinate parsing node exists; if judgment results shows no subordinate parsing node exists and event type information is pre-stored in the parsing node, the parsing node considers the event type information as the event type information of an event recorded in the log, wherein the event type information is determined according to the field information which can be parsed from the log by a regular expression stored in at least one parsing node included in a route along which the log is transmitted to the parsing node.

The invention discloses an environment noise wireless real-time monitoring system based on a ZigBee technology, mainly comprising a noise monitoring control device and more than one terminal noise monitoring device, wherein the terminal noise monitoring device and the noise monitoring control device are connected by a wireless communication mode. The environment noise wireless real-time monitoring system based on the ZigBee technology can be used for monitoring municipal environment noise, and has broad application prospect; noise intensity analysis is carried out in a dispersed mode at each terminal noise monitoring device, the treatment pressure and system communication expense of the noise monitoring control device are reduced, and the system data treatment delay and transmission delayare reduced to realize real-time noise monitoring; and a ZigBee noise monitoring network has the characteristic of self organization, and the terminal noise monitoring devices are easy to join the network, thereby greatly facilitating the extension of system capacity.

The invention provides a laser-induced breakdown spectrum in-situ analyzer, belonging to the technical field of material analysis and characterization. The laser-induced breakdown spectrum in-situ analyzer comprises an excitation source system, a laser beam shaping system, a beam splitting system, a high-speed signal collecting system, a signal analyzing system, a sample chamber vacuum system, a continuous excitation synchronous scanning and positioning system and a sample surface imaging system. The laser beam emitted by the laser source is processed by a laser beam shaping system and is subsequently focused on the surface of an analyzed sample that can move in a three-dimensional way. The sample chamber vacuum system provides a closed environment for the analyzed sample so as to fill inthe protective gas. The beam splitting system and the signal colleting system are connected with each other by a photomultiplier; and the plasma spectrum generated on the surface of the sample is converted into an electric signal by the photomultiplier through the optical signal generated by the beam splitting system. The data processing system processes and calculates the photoelectric signal generated by the data processing system and outputs the results such as content of each element, in-situ statistics distribution and the like in the sample. Compared with the prior art, the laser-induced breakdown spectrum in-situ analyzer has the advantages of increasing the functions and extending the sample scope.

The invention belongs to the field of operation and control of electric power systems and provides an N-2 combined fault quick sequencing method for transient stability analysis of an electric power system, which is used for sequencing arbitrarily combined N-2 fault of an electric power system according to the severity of the transient stability. Based on the quantized evaluation information of the transient stability of the N-1 fault, the method calculates the severity index of the transient stability of the N-2 combined fault by combining the information of the power sensitivity of the powerchange of a second switching element on the transient stability critical generator group of the first fault element, thereby sequencing the N-2 combined fault set of the transient stability analysisof the electric power system. The method can be used for sequencing a large quantity of N-2 combine faults according to the severity of the transient stability when the operation mode, the model and the parameters of the power network are determined, so as to only calculate and analyze the transient stability of a small quantity of N-2 combined faults ranking at the front in detail and greatly enhance the efficiency of detailed calculation and analysis on transient stability of any N-2 combined fault.

The present invention discloses a text event classification method based on CHI feature selection, which comprises the classification model training process aiming at training corpora and the text classifying process. According to the method, classification of text event information is finally implemented by analyzing language description features in a Chinese text event, using a CHI value as a topic feature vector and aiming at the selected training corpora to form feature files and a training template, wherein the model training process comprises the following steps of: (1) selecting the text training corpora; (2) preprocessing the text corpora; (3) selecting category features and generating a feature file set; (4) generating a text feature vector, carrying out normalization processing and generating a feature vector file; and (5) carrying out SVM model training. The text classifying process is similar with the model training process. The method adopted by the present invention can be widely applied to the identifying, classifying, analyzing and monitoring process of Chinese text data mining and analysis efficiency and analysis accuracy of Chinese text natural language processing can be effectively promoted.

The invention provides an automatic sample injector, which comprises a base turntable device, a lifting device, a needle tube clamping device, a sample injection needle and a pump. The base turntable device comprises a base, a first motor and a support disk, wherein the first motor is arranged in the base and connected with the support disk. The lifting device comprises a mounting cover, a sleeve, a second motor, a lead screw and a nut. The needle tube clamping device comprises a holder and a fastener, the sample injection needle is inserted into a clamping open groove, positioned between twoarc grooves and connected with the pump through a guide tube, and the holder is fixedly arranged on a shaft of the nut. The base turntable device can be used for bearing a test tube, and the lifting device drives the needle tube clamping device to move up and down, so that the sample injection needle on the needle tube clamping device is inserted into the corresponding test tube, the pump sucks test fluid through the sample injection needle and can directly deliver the test fluid to a chromatographic analyzer for chromatographic analysis, samples are automatically injected to the chromatographic analyzer by the aid of the automatic sample injector, and chromatographic analysis efficiency is improved.

The invention discloses a network monitoring method and a network monitoring system to solve the problems that the processes for performing analysis and fault elimination in the current network optimization and fault treatment flows have low real-time, poor accuracy and low efficiency. The network monitoring method provided by the invention comprises the following steps that: a network side receives session information reported by each terminal when sessions performed by the terminals respectively have abnormal events; according to the session information reported by a first terminal in the terminals, the network side acquires network side signaling information, which is received and transmitted during the time when the session information reported by the first terminal happens and belongs to corresponding sessions of the terminal, from acquired signaling information received and transmitted by a network side network element; and the network side performs fault analysis according to the session information reported by the first terminal and the acquired network side signaling information.

The invention discloses a root fault cause analysis method and analysis device relating to the data mining and network management field, solving the problems that in the current root fault cause analysis process, a great deal of manpower and time are used to analyze weblogs, the root fault cause analysis efficiency is relatively low, and the network fault cannot be eliminated timely. The method comprises: determining the fault time point of a network device; obtaining the first log information set generated by the network device in the first time period; wherein the first log information set comprises M kinds of log information; analyzing every kind of log information in the M kinds of log information according to a preset analysis strategy, obtaining N kinds of root cause logs in the M kinds of log information; wherein the root cause logs are log information generated when the network device generates the fault, N is more than or equal to 1 and is less than or equal to M, the preset analyzing strategy is: preset fault generation rule when the network device fault is generated; and determining the cause of generating the network device fault according to the N kinds of root cause logs.