1412results about How to "Improve comprehensiveness" patented technology

The invention discloses a natural conditioning and nourishing ferment and a manufacturing method thereof. The ferment comprises the following raw materials in parts by mass: 1-80 parts of primarily fermented liquid, 1-30 parts of probiotics, 1-30 parts of enzymes, 1-10 parts of Chinese herbal medicines, 1-30 parts of fruits, 1-30 parts of vegetables, 1-30 parts of edible mushrooms, 1-30 parts of edible algae, 1-30 parts of maltose, and 1-30 parts of honey. The primarily fermented liquid comprises the following raw materials in parts by mass: 1-50 parts of corncobs, 1-15 parts of wheat, 1-30 parts of stem rice, 1-50 parts of brown rice, 1-50 parts of rice bran, 1-50 parts of black soya beans, 1-10 parts of black glutinous rice and 1-10 parts of semen sesami nigrum. The ferment is prepared by compounding the vegetables, the fruits, the edible mushrooms, the edible algae and the traditional Chinese medicinal materials with the enzymes and fermenting by the probiotics. By adopting the ferment, the integrated conditioning properties of a plurality of plants such as fruits and vegetables and traditional Chinese medicinal materials are compounded, and the natural conditioning and nourishing ferment is free of toxic and side effects. The ferment can be used as a food, also can be added to other foods and beverage, and the natural conditioning and nourishing effects are achieved.

The embodiment of the invention discloses a method for extracting subject headings of a text. The method comprises the following steps: a text to be processed is divided into combination sequences of the existing words; for each text to be processed, candidate character strings with a frequency of occurrence greater than a preset frequency in the text to be processed are found and extracted, and new words are filtered from the candidate character strings according to the lexicalization probability of the prefixes and / or suffixes of the candidate character strings; and subject headings of the text to be processed are extracted from the existing words and the new words according to the frequency of occurrences of the existing words and the new words. The invention ensures that the comprehensiveness of extracting subject headings from the text to be processed is improved.

The invention relates to a patent literature similarity measurement method based on ontology, and relates to the technical field of natural language information processing for the ontology. The method comprises the following steps: extracting a core technical scheme according to the structural features, the position features and the keyword features of patent literatures; constructing a model for the relation between thematic terms of patent classes; constructing a field dictionary according to the model for the relation between the thematic terms of the patent classes and segmenting terms and removing stop terms for the core technical scheme; extracting keywords and weight by combining the relation between the thematic terms to TF-IDF as TextRank term initial weight; training a FastText model, and generating a term vector; and calculating an EMD distance to obtain a semantic distance according to keywords, term weight and term vector. Compared with the prior art, the patent literature similarity measurement method based on the ontology solves the problem that the similarity is low due to the fact that the structural features, the field features, the term relation features and the semantics approximate expression of the patent literature are not fully considered.

A regional public opinion monitoring and decision-making auxiliary system based on big data comprises an information acquisition and storage module, a data pre-processing module, a big data public opinion analysis module, a public opinion monitoring, early warning and decision-making auxiliary module and a background management module, wherein the information acquisition and storage module is used for carrying out structuralized storage management on acquired public opinion source information to form a regional big data public opinion knowledge base which is updated in real time; the data pre-processing module is used for pre-processing data in the regional big data public opinion knowledge base to form a complete and ordered data set; the big data public opinion analysis module is used for carrying out public opinion analysis and tendency prediction on hot topics with appointed conditions and the like to obtain a public opinion analysis and tendency prediction result; the public opinion monitoring, early warning and decision-making auxiliary module is used for carrying out real-time monitoring and tracking, management and persuasion on customized public opinions dug and analyzed by sensitive word pairs in a pre-defined sensitive word bank, and announcing the customized public opinions to a decision maker in manners of in-station messages, short messages and mails; and the background management module is used for carrying out public opinion information classification management, user and authority management, keyword management, acquisition management, content management, special topic management and analysis report management.

The invention provides a simulation method and system of a vehicle road virtual scene, and the method comprises the steps: collecting lane lines, lane identifiers, traffic signals, pedestrians and traffic vehicles of an actual road through collection equipment, and forming scene information of different driving routes. And extracting scene library cases of the data stream and the video stream according to the scene information, and carrying out data processing on the scene library cases to generate scene data and vehicle dynamic data in a set data format. And establishing a driving environmentsimulation model according to the scene data to simulate road information of vehicle driving, wherein the driving environment simulation model comprises a road model, a traffic environment model anda weather model. According to the invention, the efficiency and accuracy of function testing of vehicle intelligent driving can be improved.

The invention discloses a block chain accounting method and device, and relates to the internet technical field. The problems that the existing tokenless blockchain system cannot maintain an efficientconsensus mechanism and is easily attacked by malicious nodes and operators, and the application of block chain accounting has limitations are solved. The method provided by the invention comprises the steps that an accounting node set is created; when a transaction request is received, each accounting node is verified according to a first random value; if the verification is passed, the currentaccounting node is extracted from the accounting node set; and the current accounting node is triggered to carry out accounting. The block chain accounting method and device are suitable for block chain accounting.

A computer-implemented method is performed at a device having one or more processors and memory storing programs executed by the one or more processors. The method comprises: selecting a target word in a target sentence; from the target sentence, acquiring a first sequence of words that precede the target word and a second sequence of words that succeed the target word; from a sentence database, searching and acquiring a group of words, each of which separates the first sequence of words from the second sequence of words in a sentence; creating a candidate sentence for each of the candidate words by replacing the target word in the target sentence with each of the candidate words; determining the fittest sentence among the candidate sentences according to a linguistic model; and suggesting the candidate word within the fittest sentence as a correction.

The invention relates to a method combining searching and learning, in particular to a searching and learning method used for a hand-hold learning terminal, searching aiming at a test question and learning the corresponding courseware of the knowledge point relevant to the test question. The method includes the steps that a compressed test question pool is stored in a memorizer of the hand-hold learning terminal, an input device inputs the content needed to be searched, a microprocessor performs the matching of the inputted content and the test question content in the test question pool in the memorizer, and all results with successful matching searching are displayed on a display device, and the learning for all courseware corresponding all knowledge points relevant to the test question can be performed. The invention can greatly facilitate the user to answer and resolve the test question on the hand-hold learning terminal, and can learn, review, test and take an exam, etc. through the hand-hold learning terminal, thereby forming an individual learning system which has pertinency and integrates preparation, learning, exercise, review and test into a whole.

The invention discloses a method and a system for extracting behavioral data of mobile phone software, which belong to the field of information security technology. The method includes the steps: 1 virtualizing hardware equipment required by the target mobile phone software so as to construct a mobile phone simulator; 2 creating configuration files of the target mobile phone software; 3 analyzing the configuration files, initializing the mobile phone simulator and loading mirror images of a mobile phone operating system; 4 starting the operating system, and converting system call operations set to be intercepted into a system call instruction start address corresponding to the mobile phone operating system in the mobile phone simulator; and 5 starting the mobile phone software, judging whether the currently executed instruction address is the instruction start address obtained by the step 4 or not before a virtual processor of the mobile phone simulator executes an optional instruction, and if the currently executed instruction address is the instruction start address obtained by the step 4, suspending running of the operating system, recording the current instruction, collecting data related to system call, and then enabling the operating system to resume running. The method can be used for extracting various behavioral data of the mobile phone software in a realistic environment.

The invention discloses an intelligent sweeper which comprises a sweeping system, a camera and an image recognition system. The camera is used for obtaining environment image pictures. The image recognition system is used for establishing a virtual environment map according to the environment image pictures obtained through the camera. The sweeping system is used for planning an intelligent sweeper moving route according to the virtual environment map. By means of the intelligent sweeper, the movement control accuracy is improved, and meanwhile sweeping comprehensiveness is improved.

The embodiment of the invention relates to the technical field of service system testing and discloses a service system testing method, device and system. The service system testing method comprises the steps of extracting source service data in a production environment and preprocessing the source service data to obtain service data for testing; loading the service data for testing to a bank application system of a testing environment, wherein the bank application system of the testing environment executes entry operation according to the service data for testing and generates testing environment service data; receiving the testing environment service data, comparing the testing environment service data with the service data for testing, identifying discrepant data and generating a testing report carrying data comparison showing result according to the discrepant data. By means of the service system testing method, device and system, the comprehensiveness, accuracy, coverage rate and testing efficiency of the service data for testing of a service system can be remarkably improved.

The embodiment of the invention discloses an electrocardiogram signal processing method and device. The method comprises the steps of denoising sample data including a reference characteristic type electrocardiogram signal to obtain a filter electrocardiogram signal, wherein the sample data includes sample data for training and sample data for test, extracting characteristics of the filter electrocardiogram signal on the basis of a multi-electrocardiogram period fusion method to obtain a characteristic electrocardiogram signal, carrying out data normalization treatment on the characteristic electrocardiogram signal to obtain a standard electrocardiogram signal, training a BP neural network according to the standard electrocardiogram signal corresponding to the sample data for training to obtain a trained BP neural network, injecting the standard electrocardiogram signal corresponding to the sample data for test into the trained BP neural network, and acquiring a classification result of a standard signal corresponding to the sample data for test. By adopting the electrocardiogram signal processing method and device disclosed by the embodiment, the comprehensiveness and accuracy for extracting and classifying the characteristic electrocardiogram signals can be improved.

The invention discloses a method for testing a transmission chip. The method comprises the following steps: test data sent to a chip to be tested is produced and constructed by programmable equipment in accordance with a test case; and the programmable equipment submits a test report according to the result that the chip to be tested processes and returns the test data. The invention further discloses a method for testing and controlling a transmission chip. Under the condition that an instrument is not depended on, the test data is constructed by the programmable equipment according to the test case; test result is returned to the programmable equipment, and the correctness of the result is judged by the programmable equipment, so that universal test on the chip is realized; by the adoption of the invention, the all-sided automatization of the test execution is realized through the control on test process, thereby improving the test efficiency and lowering the test cost.

An embodiment of the invention provides a query based keyword extension method, device and system. The query based keyword extension method comprises setting a preset keyword set, enabling preset keywords in the preset keyword set to be served as a pattern query and constructing the preset keyword set into a keyword tree; receiving the query and obtaining a web searching result based on the query; performing pattern matching aiming at the web searching result to obtain the pattern query and confirming extension keywords based on the query through the obtained pattern query. The query based keyword extension method has the advantages of enriching keyword matching results, expanding keywords for the query, improving comprehensiveness of exhibition contents, quantizing similarity between the query and the keywords and guaranteeing the relevance of the exhibition contents.

The invention discloses a wind power gear box fault diagnosis test platform based on multi-feature fusion and a method, solves the problems such as single detection method, a random wind load specialworking condition as well as oil change interference which are faced by wind power planet gear box fault diagnosis and has the beneficial effect of high fault diagnosis accuracy. A scheme is as follows: the test platform comprises a test bed base provided with a to-be-tested wind power gear box, a vibration acceleration sensor and a noise signal sensor are arranged at the circumference side of theto-be-tested wind power gear box, the circumference side of the to-be-tested wind power gear box is connected with an oil liquid information detection sensor, each sensor is respectively and independently connected with a data acquisition module, and an evaluation method can extract vibration feature indexes specific to random wind load working conditions, extract noise feature indexes and extract oil liquid feature indexes specific to oil change interference problems, so that a vibration-noise-oil liquid feature fusion evaluation model based on deep learning and DS evidence theory is built.

Embodiments of the invention provide an image retrieval method and system. The method comprises the steps of obtaining a target picture serving as a retrieval basis and input by a user; screening out a sample picture meeting a first predetermined condition from sample pictures stored in a picture database by utilizing a first image feature of the target picture, and outputting the screened-out sample picture as a retrieval result; monitoring whether a reference picture serving as a re-retrieval basis and input by the user based on the current retrieval result is obtained or not, and if the reference picture is obtained, screening out a sample picture meeting a second predetermined condition from the sample pictures stored in the picture database by utilizing a second image feature of the reference picture, outputting the screened-out sample picture as a retrieval result, and continuing to execute a monitoring action; and after a picture storage instruction sent by the user based on the current retrieval result is obtained, storing a retrieval result which the picture storage instruction aims at. Through the scheme, the comprehensiveness of image retrieval can be improved.

The invention discloses a method and a device for a simulation test, belonging to the field of computer technologies. The method for the simulation test comprises the following steps of receiving operating data, which is transmitted to an on-line server by a client; copying the operating data by utilizing a flow copy code; and transmitting the operating data obtained by copying to an off-line test server by utilizing the flow copy code, wherein the operating data is used for triggering the off-line test server to carry out simulation test on a test code by utilizing the operating data. Through copying the operating data transmitted by the client by utilizing the flow copy code, the operating data obtained by copying is transmitted to the off-line test server; the operating data, which is transmitted to the on-line server by the client, is copied and taken as test data, so that the problem of a service error, which occurs after the code is on-line due to incomplete simulation test data, is solved, and the effect of improving comprehensiveness of the simulation test is achieved.

The invention relates to a warning system for safety monitoring of a tailings storehouse. The warning system comprises a system integration which synthesizes GPS dam body deformation monitoring data acquired, dam body phreatic line monitoring data, dry shoal namely deposition shoal monitoring data, and storehouse region water level and rainfall amount monitoring data to perform analysis, judgment and early warning through an intelligent expert software system, and can perform real-time monitoring in a video mode. The system adopts a structural configuration of three levels of structural frames: a bottom layer structural frame as an original data acquisition layer, a middle layer structural frame as a data processing layer, and a top layer structure frame as a user layer, which adopt an expert software subsystem to give corresponding calculation results to the data in a database according to different requirements of users. The warning system adopts optical fiber cables and wireless transmission communication equipment as carriers to form a network system specially for safety monitoring and warning for the tailings storehouse, and adopts the modern science and technology to perform the safety monitoring and warning work for the tailings storehouse, thereby sufficiently satisfying the requirements on safety management of tailing production by mining enterprises and meeting the actual demands for the safe production by the mining enterprises.

The invention provides a method and a device for evaluating fighting capability of an air defense and antimissile system. The method comprises the following steps: establishing a fighting capability evaluation model based on an evaluation index corresponding to a fighting activity, obtaining quantitative indicator data of a to-be-evaluated air defense and antimissile system based on the model, andbuilding a corresponding capability requirement satisfaction degree evaluation matrix; based on the evaluation index, using an interpretative structural modeling method to construct an index networkhierarchical model corresponding to the to-be-evaluated air defense and antimissile system; based on the index network hierarchical model, using a network hierarchical analytic method to calculate theweight corresponding to each evaluation index; and evaluating the comprehensive fighting capability of the to-be-evaluated air defense and antimissile system based on the weight corresponding to eachevaluation index and the capability requirement satisfaction degree evaluation matrix corresponding to the quantitative index data. The method and the device for evaluating fighting capability of theair defense and antimissile system in the invention can deeply analyze and directly reflect the internal logical relationship of the air defense and antimissile indicator system, so that the weight distribution between the indicators is more reasonable, thereby effectively improving the comprehensiveness, effectiveness and credibility of the evaluation results.

The invention discloses a method and device for recommending videos. The method is used for solving the problems that accuracy and comprehensiveness of recommendation are low and flexibility is poor in an existing recommending method. The method includes the steps that in a set period, a set number of video data are screened from issued video databases of video sources and serve as a first video dataset; when operation is conducted by a user, watched videos of the user are acquired according to identification information of the user, and the related video data of the watched videos of the user are determined in the related video databases and serve as a second video dataset; the video data of the set number are selected from the first video dataset and the second video dataset respectively, so that a video recommending list corresponding to the user is formed and recommended to the user. Thus, comprehensiveness and flexibility of recommendation are improved; due to the fact that real-time processing is adopted in the method, accuracy of recommendation is improved as well.

The invention provides a transformer substation online intelligent patrol centralized monitoring system and method. The system carries out the linkage interaction with a main and auxiliary monitoringsystem, obtains a main and auxiliary equipment linkage signal, obtains an associated equipment point location list according to the linkage signal, and constructs an inspection task according to the equipment point location and a pre-configured linkage strategy or creates the inspection task according to requirements; the inspection task is issued to corresponding station ends, centralized controlis performed on the station ends, the corresponding inspection task is split into a plurality of sub-tasks by each station end, and the corresponding sub-tasks are concurrently executed by differentinspection execution systems; multi-dimensional inspection data acquired by each inspection execution system of each station end concurrently executing the corresponding sub-task is received; and an intelligent analysis algorithm adopted by each station end is determined by utilizing a cloud edge cooperation method, the equipment state is identified by utilizing the intelligent analysis algorithmbased on the multi-dimensional inspection data, and alarming or / and equipment operation and maintenance are performed according to an identification result. The problems that robot inspection has an inspection blind area, a single video coverage area is small, and fault emergency disposal is not timely are solved, the comprehensiveness, accuracy and intelligence of transformer substation equipmentinspection are improved, and the linkage capacity of a system in a transformer substation is increased.

The invention discloses a software behavior detection system based on symbolic execution technology and a detection method thereof, wherein the detection system consists of a constraint generation module, a constraint negation / optimization module, a constraint solution module, a binary code pile pitching module and a behavior monitor module; and the method specifically comprises the following steps of: monitoring software behavior in the actual execution process of a program, collecting information relevant to the behavior, and providing certain essential data for behavior analysis; and simultaneously, collecting the constraint condition of the current path; after the program execution is finished, negating a certain constraint condition in the set of collected path constraint conditions so as to acquire a new patch constraint set, and solving the newly generated new patch constraint set by using a solver so as to determine whether a path can be achieved; and if the preconditions traversing the patch can be met, triggering a new software behavior by traversing the path. The system and the method can efficiently improve the precision and comprehensiveness of behavior detection.

The invention discloses a method for evaluating the traffic safety of an unsignalized intersection. The method includes the steps of selecting an intersection to researched, obtaining basic data, processing basic data of the intersection, establishing a coordinate system and carrying out grid division, obtaining the conflict probability of each grid, assigning inner grids of the entire intersection to form a conflict probability matrix, obtaining the severe degree of conflict probability of each grid according to a conflict severe degree kinetic energy loss model, assigning the grids in the entire intersection, determining the safety evaluation index of each grid in the entire intersection by using a grey cluster method and taking conflict probability and conflict severe degree into consideration, assigning equivalent codes to each grid and constructing a grade code matrix, and realizing visualized output of the safety evaluation result through a programming language. Comprehensive safety evaluation index determination and visualized output of safety evaluation of the entire intersection are realized.

The invention discloses a vehicle lane-changing risk recognition method under an expressway vehicle infrastructure cooperative environment. The method comprises the following steps that: 1) selectinga target vehicle to obtain relevant information; 2) taking the target vehicle as an original point to establish a coordinate system, and evenly dividing the coordinate system into m*n pieces of grid units; 3) establishing a target vehicle lane-changing trajectory prediction model, and calculating displacement and a position in a target vehicle lane-changing process; 4) establishing a surrounding vehicle movement trajectory prediction model, and calculating the displacement and the position of the surrounding vehicle during a target vehicle land-changing period; 5) establishing a vehicle lane-changing conflict recognition model, and making the conflict conditions of different lane-changing conflict types clear; 6) carrying out division on the basis of a kinetic energy loss division lane-changing risk level, and showing by different colors; and 7) through computer programming, realizing vehicle lane-changing risk recognition, and outputting a potential lane-changing risk level and a corresponding color. By use of the method, the problem of intelligent vehicle lane-changing risk advanced recognition under the expressway vehicle infrastructure cooperative environment can be solved.

The invention relates to a network security situation analysis method and system, and the method comprises the steps: A, carrying out the SQL injection detection: obtaining a corresponding word vectoraccording to the condition whether a part with an SQL injection attack exists in a domain name, and building a model for detecting the SQL injection attack; B, DGA malicious domain name detection: extracting feature vectors in a domain name to obtain a training model, and performing cross validation on the training model to obtain precision and recall rate; C, detecting malicious scripts: detecting whether a malicious code exists in the webpage script or not through a training model; D, assessing network security situation: assessing the total situation value of all the hosts according to thesecurity level; E, predicting network security situation: outputting prediction results through an LSTM layer and a Bi-LSTM layer and three fully connected layers. The accuracy of network security situation analysis can be obviously improved, different types of network security can be tested and analyzed from multiple angles, and the comprehensiveness of network security situation analysis and prediction is effectively improved.

The embodiments of the invention disclose a voice recognition method and device, electronic equipment and a storage medium, and relate to the technical field of smart home. The method comprises the following steps of receiving voice data; performing voice analysis on the voice data to obtain a first text content; replacing at least parts of the target words in the first text content into templatewords meeting a set condition to obtain a second text content; and obtaining a control instruction corresponding to the second text content, and executing a preset operation according to the control instruction when a confirmation instruction for the control instruction is obtained. According to the embodiments of the invention, at least parts the target words in the first text content are replaced with the template words meeting the set condition to obtain the second text content, so that the corresponding control instruction can be matched according to the second text content, and voice control of the smart home is realized when the confirmation instruction is obtained, the comprehensiveness of the control instruction matching is improved, and the generalization ability and the user experience of a voice interaction device in a home system are improved.

The invention discloses an intelligent LED street lamp monitor system based on the ZigBee and Wi-Fi technology. The intelligent LED street lamp monitor system comprises an upper computer, a wireless router, a Wi-Fi module, a ZigBee coordinator and a plurality of sets of monitor terminals, wherein the upper computer is in wireless communication connection with the Wi-Fi module through the wireless router; the Wi-Fi module is in bidirectional communication connection with the ZigBee coordinator through a serial port; the ZigBee coordinator is in wireless communication connection with each ZigBee terminal. Each set of monitor terminals at least comprise one ZigBee terminal, an LED street lamp driver, an LED street lamp and a detection module, wherein the ZigBee terminal is connected with the LED street lamp driver, the LED street lamp and the detection module sequentially in series. The intelligent LED street lamp monitor system has the advantages of energy conservation, intelligent control, convenient maintenance, easy on-spot wiring, low cost, high comprehensive function and the like.

The invention discloses an electric fault detections system for a vehicle, and the system comprises a voltage collection module, a current collection module, a temperature collection module, an energy monitoring and processing module, a voltage difference monitoring module, a control processing module, a communication module, and an alarm module. For a power module and all power consumption modules, the system firstly obtains the product of current and voltage; secondly carries out the integration of the product of current and voltage in a set time period, and obtains the electric energy or reference electric energy; thirdly monitors the power utilization and hidden conditions of the power module and all power consumption modules through the electric energy or reference electric energy in all time periods. According to the invention, the system carries out the multiplication of the current and voltage signals to generate power, and then carries out the time integration of the power, i.e., carrying out the amplification and judgment of small current and voltage signals and weak hidden trouble signals, thereby facilitating the guaranteeing of the monitoring depth of early hidden troubles, and avoiding a condition that a small fault cannot be inspected. The system can achieve the earlier finding of faults and hidden troubles, and guarnatees the safer power utilization of the vehicle.

The invention discloses an information physics semi-physical simulation system based on Rt-Lab and OPNET. The information physics semi-physical simulation system comprises a power distribution automation and energy management system, an area integrated controller, remote data terminals, bottom layer DSP controllers and an Rt-Lab simulation machine, wherein visual primary devices are constructed into the Rt-Lab simulation machine, each visual primary device in the Rt-Lab simulation machine is correspondingly connected with one corresponding remote data terminal or one corresponding bottom layer DSP controller, the area integrated controller is connected with the remote data terminals and the bottom layer DSP controllers, and the power distribution automation and energy management system is connected with the area integrated controller. The information physics semi-physical simulation system has the higher flexibility, higher reliability and higher comprehensiveness, effective analogue simulation and effective verification expansion are achieved through an electrical power system comprising a series of complicated models including new energy power generation, information physics faults, network information faults, power distribution automation and the like, and the information physics semi-physical simulation system has a wide application prospect.