10results about How to "Prevent cheating" patented technology

The application provides a medicine distribution verification method and system based on image recognition. The delivery process including a continuous action sequence is forcibly guided and verified, which fundamentally eliminates cheating behaviors such as pre-stored photos and staged photos. The system verification must rely on specific actions completed in real time, which improves the cost of fraud. At the same time, the verification process is visualized, standardized, automated, evidence-based and traceable. Through the collection and fusion analysis of action information such as action video, environmental continuous parameters and medicine packaging information, the compliance, effectiveness, authenticity and continuity of the medical and pharmaceutical delivery process are ensured, and an unalterable verification record is generated, solving the credibility and traceability problem of the end verification of medicine distribution.

The present disclosure relates to a data auditing method and device based on a Merkle tree and a blockchain. The method comprises: sending a data auditing request including first data to a second server, so that the second server determines a global index of the first data in the total data of the second server and a Merkle proof of the global index based on the data auditing request; receiving the global index and the Merkle proof sent by the second server, calculating a first hash value of the first data in the same hash calculation manner as a leaf hash value in the Merkle tree, and calculating a first root hash value based on the first hash value and the Merkle proof; obtaining a second root hash value corresponding to the global index from the blockchain, and comparing the first root hash value with the second root hash value. If the first root hash value is consistent with the second root hash value, it is determined that the data auditing is passed. The present scheme realizes the verification of the integrity and authenticity of the data while protecting the data privacy.

The invention provides a safety belt unfastening reminding method and device. The method comprises the steps that a safety belt lock catch inserting state signal and a seat passenger occupying signal are obtained; and when the seat passenger occupying signal indicates that the seat passenger occupies no person and the safety belt lock catch insertion state signal indicates that the safety belt lock catch is in an inserted state, reminding that the safety belt is not worn normatively so as to remind the passenger to wear the safety belt normatively. According to the method, logic defects of existing safety belt detection are overcome only through software logic improvement, a user is prevented from cheating a system in a false mode, safety belt reminding is improved, passengers are better protected in a collision accident, and after-sales EDR data recording is more real and effective.

The invention discloses a virtual prop right confirmation method based on motion quality dynamic triggering and lightweight evidence storage. The method comprises the following steps: S1, collecting and preprocessing multi-source data; motion data and physiological data of a user are collected through a built-in sensor and an external wearable device of the rowing machine and preprocessed; s2, motion quality feature extraction; based on the preprocessed data, extracting motion quality features by using a feature extraction window which is adaptively adjusted along with a row cycle; s3, virtual prop triggering judgment: setting a dynamic threshold value according to the historical ability grade portrait of the user to perform virtual prop triggering judgment; and S4, multi-source data authenticity fusion verification is carried out, if the trigger condition of S3 is established, authenticity verification is carried out based on physiological and action data, after verification is passed, weighted fusion is carried out on the motion quality features to calculate confidence, the confidence is compared with a confidence threshold, and finally a formal virtual prop is generated and a unique identifier is allocated.

This application discloses a method, apparatus, and computer device for wind farm data source authentication based on SVM-UGR. It includes: acquiring the original feature set of multimodal physical signals generated by wind turbines; normalizing the original feature set to a preset feature space using a static SVM model to obtain low-dimensional static features of the multimodal physical signals; extracting dynamic coupling features of the multimodal physical signals at different time dimensions from the original feature set using a dynamic UGR model; fusing the low-dimensional static features and dynamic coupling features corresponding to different modal physical signals to form a physical fingerprint of the wind turbines; and authenticating the target wind farm data source based on the first similarity between the target wind farm data and the physical fingerprint. The method of this application constructs a "physical fingerprint" of the wind turbine's operational characteristics through a model and achieves trusted data source authentication based on operational behavior and physical state through comparison with new data, without relying on network identity.

The application relates to the technical field of data processing and industrial control, in particular to an intelligent terminal device for hazardous waste whole-process supervision, which comprises a terminal shell and a man-machine interaction unit, a main control unit, a label printing unit, a code scanning and recognizing unit, a weighing and communicating unit, a network communicating unit and a digital security checking unit integrated in the terminal shell, wherein the digital security checking unit calls preset standard density range, single-barrel regular weight interval, historical average weight data and abnormal threshold and the like checking parameters according to the hazardous waste type scanned and recognized, carries out multidimensional consistency comparison on the weighing data acquired by the weighing and communicating unit in real time and the preset parameters and calculates a fitting degree index, and when the fitting degree index reaches a preset qualified threshold, label printing and data uploading are allowed, otherwise the operation is rejected. The application has the effect that the hazardous waste intelligent terminal device can realize automatic acquisition, real-time checking and hard blocking of abnormal data outflow at a data generation end.

The invention discloses an agricultural machinery operation quality multi-dimensional sensing device for multi-plough management, and relates to agricultural machinery operation quality multi-dimensional sensing. According to the technical scheme, the system is characterized by comprising host equipment installed on an agricultural machine body, a plurality of plough terminals installed on different ploughs and an operation vehicle-mounted terminal; the host device obtains host IMU data; the host equipment is used for scanning broadcast packets; the host equipment is also used for outputting operation data according to the host IMU data, the plough terminal IMU data and a multi-dimensional detection method; the plough terminal acquires IMU data of the plough terminal; the plough terminal is provided with an anti-disassembly switch, the anti-disassembly switch is used for detecting the anti-disassembly state of the plough terminal installed on the plough, and the anti-disassembly state comprises a normal state and a disassembled state; the plough terminal is provided with a battery for power supply and broadcasts according to a certain frequency after being started; and the host equipment is used for transmitting the operation data to the operation vehicle-mounted terminal. According to the invention, stable, continuous and multi-dimensional monitoring of plough operation is realized, and system errors are effectively eliminated.

This utility model discloses an automatic ball-shaking machine, belonging to the technical field of ball-shaking machines. The automatic ball-shaking machine includes a frame, a rotating ball cover, a drive mechanism, and a color recognition mechanism. The drive mechanism includes a rotary bearing and a drive motor. The outer ring of the rotary bearing is fixedly connected to one side of the frame, and the inner wall of the inner ring of the rotary bearing is provided with an annular toothed portion. The drive motor is fixedly installed on the other side of the frame, and a gear is fixedly installed on the output shaft of the drive motor, the gear meshing with the annular toothed portion. The rotating ball cover is installed on the inner ring of the rotary bearing, and a plurality of stirring blades are evenly distributed along its circumference on the inner wall of the rotating ball cover. The frame is provided with a ball-discharging guide groove, and the color recognition mechanism is also provided on the frame. This utility model can reduce manual intervention during the ball-shaking process and avoid errors and delays in manual ball color recognition, effectively ensuring the fairness, accuracy, and timeliness of the prize-winning results.

The embodiment of the invention discloses an identity authentication method and device, a storage medium and electronic equipment. When identity authentication is carried out, a first terminal device responds to an identity authentication request, determines a corresponding authentication operation according to the identity authentication request, and generates a first description text for describing the authentication operation and the purpose of the authentication operation and a machine readable code capable of being scanned and recognized by a second terminal device passing identity authentication; and displaying the machine readable code and the first description text in the same verification interface. A user can use a second terminal device to scan the machine readable code to obtain the second description text, and verify whether the second description text is consistent with the first description text, so as to determine whether to execute the authentication operation described by the first description text for authorization. Since the verification interface is only displayed on the first terminal device instead of the second terminal device, the user holding the second terminal device can be prevented from being disturbed.

This invention relates to a software security model interpretation method that integrates feature attribution and semantic reasoning, relating to the fields of cyberspace security and artificial intelligence interpretability. The method includes the following steps: acquiring a sample of software to be detected, extracting code structure features and behavioral sequence features, and constructing a hybrid feature space; inputting the hybrid features into a pre-trained software security detection model to obtain classification prediction results and the activation states of neurons within the model; calculating the original attribution values ​​of the input features to the prediction results based on an improved path integral gradient algorithm; constructing or loading a security domain knowledge graph, aggregating the original attribution values ​​to the semantic level, and generating a semantic interpretation report using graph reasoning; performing minimal perturbation on high-attribution features to generate counterfactual samples, verifying the fidelity of the interpretation results, and outputting the final interpretation result.