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46results about How to "Reduce manpower overhead" patented technology

High-availability industrial Ethernet redundancy method

The invention relates to a high-availability industrial Ethernet redundancy method, which comprises the following steps: adding a link redundancy entity on an original data link layer of the Ethernet for managing the sending and receiving of data frames of the Ethernet; setting two network adapter drivers relative to an original protocol stack for managing two network adapter interfaces; connecting a double-connected node which comprises the link redundancy entity and the two network adapter drivers to two independent networks respectively through two network adapters; adding a redundancy control tracker for the data frames on the link redundancy entity for distinguishing the data frames with the same content; sending the data frames which have the same content and is provided with the redundancy control tracker to two mutually-independent networks by the double-connected node through the two network adapters; keeping effective frames and discarding copy frames; and setting up a node table. The method has the characteristics of transparency, self-healing property and compatibility and the like; and the reconstruction thereof is simple, and the safety performance of the system is increased so as to enable the system to have high usability.
Owner:MICROCYBER CORP

Code and combination coverage-based test case priority ranking method and test system

The invention discloses a code and combination coverage-based test case priority ranking method and a test system, and the method comprises the steps: 1, carrying out a regression test, and obtainingthe dynamic code coverage information of a test case set running on an original program set in version iteration; 2, sequencing the use case set by using the dynamic code coverage information, namelysequencing the coverage information of the granularity and the combination condition of each unit in the granularity based on the use case set; 3, running the test case set on an error version, comparing a running result with a result on a basic version program set, and generating a case set error detection matrix; and 4, calculating a use case sequence effective value by using the sorted use caseset and the error detection matrix, and comparing the use case sequence effective value with other classic sorting strategies for evaluation. According to the method, aiming at the limitation of theexisting sorting algorithm, the combination coverage information of each statement unit is considered, and the statement units are fused and associated, so that richer sorting information is obtained,and the error detection efficiency is greatly improved.
Owner:JIANGSU UNIV

Advertisement recommendation prediction system and method

The invention discloses an advertisement recommendation prediction system and method. The advertisement recommendation prediction system comprises a data acquisition module, a feature extraction and preprocessing module, a model construction and training module and a prediction recommendation module. The data acquisition module is used for acquiring user log data and advertisement information data; the feature extraction and preprocessing module is used for obtaining user effective click data according to the user log data and the advertisement information data, analyzing according to the effective click data of the user to obtain a corresponding characteristic spectrum; the model construction and training module is used for constructing a GRU neural network model through a recurrent neural network algorithm according to the characteristic spectrum, establishing a positive and negative sample training set according to the advertisement information data, constructing a binary classification model according to the positive and negative sample training set, and obtaining a prediction model through the binary classification model and the GRU neural network model; and the prediction recommendation module is used for obtaining an advertisement prediction click rate according to the prediction model and the test data, and obtaining advertisement prediction data according to the advertisement prediction click rate.
Owner:INDUSTRIAL AND COMMERCIAL BANK OF CHINA

Short message exception handling method and short message platform

The invention discloses a short message exception handling method and a short message platform. The method comprises: the short message platform receives a status report returned by an operator serverfor sending a short message; the short message platform determines whether a short message service is exceptional according to the status report, and if so, determines an exception type based on thestatus report; the short message platform performs corresponding exception elimination based on a preset exception handling rule and the exception type; and after the exception elimination, the shortmessage platform determines whether the short message service is recovered based on a preset handling effect decision rule, and if not, gives a corresponding alarm. The short message exception handling method and the short message platform can automatically locate an exception, automatically adjust and execute the solution strategy according to the exception scene, can automatically control the processing speed and retransmission mechanism of a short message sending channel, effectively reduce the human overhead and the problems of misoperation and delay, can enhance the customer experience and ensure the integrity of customer services.
Owner:BEIJING CHINA POWER INFORMATION TECH +1

Device and method for self-service vehicle storage based on fingerprint identification

The invention discloses a device and method for self-service vehicle storage based on fingerprint identification. The device comprises an MCU, a fingerprint collecting device, an automatic vehicle-locking device, a coil inserting device, a change making device and a touch display screen. The fingerprint collecting device is used for collecting fingerprint information of a vehicle storing/taking person and sending the information to the MCU; the automatic vehicle-locking device is used for unlocking or locking an automatic electronic lock according to control commands of the MCU; the coil inserting device is used for receiving coins; the change making device is used for outputting the coins; and the touch display screen is used for collecting commands of the vehicle storing/taking person and displaying processing results. The MCU is used for controlling the coil inserting device and the change making device to receive and output the coins according to the commands of the vehicle storing person in comparison with the fingerprint information, and controlling the automatic electronic lock to be unlocked or locked. Various problems in manual monitoring and management and a key input password type vehicle storage device can be solved well based on an automatic vehicle storage system based on the fingerprint identification, and the device and the method have the advantages of being quick in identification speed, easy to operate and high in safety and the like.
Owner:YANGTZE UNIVERSITY

Real estate repurchase customer follow-up quantity calculation method and device and storage medium

InactiveCN111008871AAccurate manpower follow-up investmentProfit maximizationDigital data information retrievalMarketingBehavioral dataPurchasing
The invention provides a real estate repurchase customer follow-up quantity calculation method and device and a storage medium, and the method comprises the steps: constructing a naive Bayes probability calculation model, and selecting repurchase customer data and non-repurchase customer data as samples; obtaining basic information of a non-repurchase customer and behavior data of the customer; calculating the probability that the non-repurchase customer becomes a repurchase customer by using the constructed naive Bayes probability calculation model; calculating the follow-up time cost and thecost sum of the re-purchasing customer by utilizing the calculation result of the re-purchasing customer probability; and calculating the follow-up number of the repurchasing customer at the maximumprofit through a profit and total profit calculation formula. The invention provides a real estate repurchase customer follow-up quantity calculation method and device and a storage medium. The probability that the customers become the re-purchasing customers is calculated according to the behavior data of the customers, the basic personal information of the customers and the house purchase information, and follow-up cost and the number of the follow-up customers are allocated and the follow-up customers are determined according to the probability that each customer becomes the re-purchasing customer.
Owner:重庆锐云科技有限公司

Student information collection method and device based on biological characteristics

The invention discloses a method and device for collecting student information based on biological characteristics. The device includes information collection and input equipment: used to collect student identity information, face information, iris information, fingerprint information, and language information, and transmit them to Information processing equipment; information output equipment: used to display and play operation instructions; information processing equipment: used to process the collected student's identity information, face information, iris information, fingerprint information, and language information, and establish corresponding The biometric information database, and transmit the biometric information database to the server of the Academic Affairs Office through the Internet. The present invention solves many problems such as the singleness of student information collection and the complexity of operation in current colleges and universities, provides a method and device for collecting student information based on biological characteristics, and uses cloud technology to send it to the school's academic affairs office through the Internet interface. It is stored in the system and has the characteristics of one-time collection and long-term effectiveness.
Owner:YANGTZE UNIVERSITY
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