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1651results about How to "Guaranteed robustness" patented technology

Majority consistent escape error processing device based on mimicry security defense zero-day attack and method thereof

The invention relates to a majority consistent escape error processing device based on mimicry security defense zero-day attack and a method thereof. The method comprises: a heterogeneous executive in a dynamic online executive assembly independently operating an input request; performing multimode adjudication on an operation result, if an adjudication result meets a consistency requirement, outputting the adjudication result, if not, feeding back the adjudication result to a dynamic decision dispatching module; comparing new online executive operation output with online original majority consistent executive operation output, respectively feeding back results to the dynamic decision dispatching module and a responding module; the responding module processing the response according to feedback, and feeding back abnormal output executive to the dynamic decision dispatching module; and the dynamic decision dispatching module selecting new executive to be online from an executive resource pool, and cleaning and resetting offline executives. The method is used to provide means of detection and response when majority of mimicry defense online executives are attacked, and solves security threat a mimicry defense system faces, so as to enhance robustness of the mimicry system.
Owner:THE PLA INFORMATION ENG UNIV

Target tracking method and mobile device

The present invention discloses a target tracking method. The method is implemented in a mobile device having the photographing function. The method comprises the steps of according to a user input, determining a target position within an initial frame, wherein the target position represents a target frame around the center of a target; based on the target position within the initial frame, training and generating a tracker and a detector, wherein the tracker is adapted to track the target in a photographed video in the frame-by-frame manner, and the detector is adapted to conduct the frame-by-frame detection for the target in the photographed video; for each subsequent image frame of the photographed video, tracking by the tracker to obtain the target position of the image frame and outputting a tracking response value; judging whether the tracking response value is greater than or equal to a threshold or not; if yes, continuing the target tracking for the next image frame; if not, starting the detector and outputting the target position of the corresponding image frame by the detector; keeping the detector to run continuously for a predetermined number of frames; and switching to the a tracker for continuously conducting the target tracking. The invention also discloses a corresponding mobile device.
Owner:XIAMEN MEITUZHIJIA TECH

Trajectory tracking control method and control device for driverless vehicle

The invention relates to a trajectory tracking control method and a control device for a driverless vehicle. The control method comprises that error of present driving trajectory and a reference trajectory of a vehicle is calculated by a data preprocessor, a target performance indicator function which is corresponding to the present driving model is obtained simultaneously; an upper layer controller predicts driving states of the vehicle over a period of time through a vehicle dynamics model; transition switch is conducted to function parameters according to switching control algorithm, and a performance indicator function at present sampling time is obtained; optimal controlled quantity of present time is calculated by considering performance requirement constraint conditions at the same time according to predicted driving states and the performance indicator function; a lower layer controller calculates throttle opening, braking pedal pressure and steering wheel turning angle according to the optimal controlled quantity; and the control device comprises the data preprocessor, the upper layer controller and the lower layer controller. Compared with the prior art, the trajectory tracking control method and the control device for the driverless vehicle have the advantages of being good in control effect, high in practicability, capable of improving stability and safety of vehicles and the like.
Owner:TONGJI UNIV

Mimicry defense architecture based zero-day attack detection, analysis and response system and method thereof

The invention relates to a mimicry defense architecture based zero-day attack detection, analysis and response system and a method thereof. The method comprises the steps of performing attack detection and processing on the input, cheating and inducing an attacker through honeypot type executing bodies, and performing meta-function inspection on the output of each executing body; performing statistical analysis on abnormal output by combining abnormal information, updating a zero-day attack database, feeding back an analysis result to an intrusion response module, and preventing persistent attacks of the attacker; performing dynamic adjustment and management on an online executing body by combining voting conditions, executing body dispatching, the executing body with abnormal output and the like, and selecting executing bodies from an executing body resource pool to get into a dynamic online executing body set; and analyzing a zero-day vulnerability in the executing body with abnormal output according to an anomaly statistical analysis result, and repairing the related executing bodies in the executing body pool. According to the invention, functions and the flexibility of mimicry defense architecture are enhanced, values of the abnormal output are sufficiently utilized, and the threat and the defense cost of zero-day attacks are reduced.
Owner:THE PLA INFORMATION ENG UNIV

CAN bus based controller network monitoring system and monitoring method

The invention discloses a CAN bus based controller network monitoring system and a monitoring method. The monitoring system consists of monitoring software, a monitoring microcomputer, CAN bus communication interface equipment and a monitored controller network. The monitoring software is operated on the monitoring microcomputer, and the monitoring microcomputer is connected with the monitored controller network by the CAN bus communication interface equipment. The monitoring software is of modular component structure consisting of a communication component, an application component, an application layer protocol network configuration database and a management component thereof, a message analytic component and a message encapsulation component. The system is compatible with the CAN bus communication interface equipment of different manufacturers and can configure the application layer protocol flexibly, count bus communication characteristics and analyze messages in a real-time manner during a monitoring process, display monitoring information in a real-time manner by drawing a signal graph, tracking signal data and a CAN message and counting bus communication characteristic parameters, and reproduce the whole monitoring process afterwards, which has excellent versatility.
Owner:阴晓峰

Face and face shielding object detecting method based on multitask deep learning

The invention discloses a face and face shielding object detecting method based on multitask deep learning, wherein the method comprises the steps of 1, establishing a multitask face detail detecting network, wherein the multitask face detail detecting network is composed of three cascaded subnetworks, namely an F-Net, an O-Net and a C-Net, wherein the F-Net is used for detecting an appropriate position of a face and supplies candidate areas of the face position for later two network grades; the O-Net is used for further determining a credibility degree of the candidate area based on the detecting result of the F-Net and performs correction on face bbox and is used for detecting whether a shielding object exists in the face image and determining the position of the shielding object; and the C-Net is used for further correcting the detecting results of the F-Net and the O-Net; and 2, detecting the face details in a picture based on the established multitask face detail detecting network, and obtaining a shielding object detecting result for representing whether the shielding object exists on the face, the type of the shielding object and a position detecting result. The face and face shielding object detecting method can detect position of the shielding object and furthermore realizes technical effects of replacing the shielding object and applying in scenes such as AR.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Phase-locked loop and automatic frequency calibration circuit thereof and phase-locked loop self-tuning locking method

The invention discloses a phase-locked loop and an automatic frequency calibration circuit thereof. The phase-locked loop comprises a phase / frequency detector, a charge pump, a filter, a voltage-controlled oscillator (VCO) and a first frequency divider which are connected in sequence, wherein the phase-locked loop further comprises the automatic frequency calibration circuit; the automatic frequency calibration circuit reduces the oscillation frequency CKV of the VCO when the oscillation frequency CKV of the VCO after undergoing frequency division by the first frequency divider is higher than the reference frequency CKR, and increases the oscillation frequency CKV of the VCO when the oscillation frequency CKV of the VCO is lower than the reference frequency CKR; and a precharging circuit A0 is connected at the input end of the filter and carries out precharging when AFC carries out searching. The phase-locked loop has the rapid self-tuning locking function and ensures the VCO to carry out coarse tuning automatically to approach the final tuning coil, thus reducing the locking time of the phase-locked loop.
Owner:SHANGHAI NATLINEAR ELECTRONICS CO LTD

Permission block chain node access method and apparatus based on PBFT

The invention provides a permission block chain node access method and apparatus based on PBFT (Practical Byzantine Fault Tolerance). The permission block chain node access method based on PBFT includes the following steps: S110, adding a new permission node; S120, synchronizing the permission node without performing agreement temporally; S130, determining whether the permission node satisfies the requirement of an agreement node, if so, entering the step S150, and if not, entering the step S140; S140, waiting until returning to the step S120; and S150, starting performing agreement transaction as the permission node becomes the agreement node. The permission block chain node access method and apparatus based on PBFT can realize dynamic access of the permission node of the permission block chain in a distributed network which takes PBFT as the agreement protocol, and can guarantee consistence of the node block data of the whole network at the same time, thus having relatively higher practicality, being safe and credible, and being conductive to implementation of the application of the permission block chain.
Owner:DAREWAY SOFTWARE

Triple loss-based improved neural network pedestrian re-identification method

The invention discloses a triple loss-based improved neural network pedestrian re-identification method. The method comprises the following steps of constructing a sample database, establishing positive and negative sample libraries based on the sample database, and randomly selecting two positive samples and one negative sample to form a triple; constructing a triple loss-based neural network, and performing training, wherein the neural network is formed by connecting three parallel convolution neural networks with a triple loss layer; inputting a to-be-tested picture and each sample picture in the expanded sample database, which serve as a group of inputs, to the trained neural network in sequence, wherein another input of the neural network is zero or zero input; and calculating a distance of eigenvectors of two input pictures output by the neural network by utilizing a Euclidean distance, and querying and arranging first 20 Euclidean distances in an ascending order, and then performing simple manual screening to obtain a final identification result. The method has the beneficial effects that the identification method can be suitable for a picture scene with a relatively great change, can ensure robustness, and has relatively high identification accuracy.
Owner:CHINACCS INFORMATION IND

Video clip detecting method and device

The embodiment of the invention discloses a video clip detecting method and device, and belongs to the field of image processing. The video clip detecting method comprises the steps that a currently-input video file or real-time streaming video is used as an object to be detected, whether video in a video library appears in the current video stream or not is detected and recognized through the video analysis and retrieval method, the accurate position, in the stream to be detected, of a video clip is located and a detection result is output. Image features extracted through the video clip detecting method and device integrate image global information and image local information, the matching error rate is reduced while the high recall rate is guaranteed, robustness is kept for image content changes, therefore, accurate locating is conducted on video clips in real-time or off-line television programs or video programs and accurate detection and recognition of the video clips are kept on the conditions that frames of video streams are lost, mosaic blocks appear in the video streams, video resolution ratios and video frame rates are different and video contents change.
Owner:BEIJING JETSEN TECH

Method for controlling rigid spacecraft for target attitude tracking

The invention relates to a method for controlling a rigid spacecraft for target attitude tracking, and belongs to the technical field of the high-precision and high-stability attitude tracking control of spacecrafts. The method solves the problem that when the attitude tracking spacecraft runs in a low orbit in outer space, the conventional control method cannot eliminate the inherent flutter of a sliding mode variable structure. The method comprises the following steps: 1, establishing a kinetic model and a kinematic model of the rigid spacecraft; 2, setting an attitude tracking error and anexpected attitude parameter of the rigid spacecraft, and combining the attitude tracking error and the expectation attitude parameter with the kinetic model and the kinematic model to establish a mathematical model for the attitude tracking; 3, adopting a control algorithm of a sliding mode variable structure controller to adjust a control law of the mathematical model which is established in thestep 2 and is used for the attitude tracking, and simultaneously combining an observation result of a disturbance observer to modify the control law; and 4, controlling the rigid spacecraft by using the modified control law obtained in the step 3 to realize the attitude tracking. The method is suitable for the attitude tracking of targets running in the outer space.
Owner:HARBIN INST OF TECH

Non-cooperative spacecraft attitude estimation method based on virtual sliding mode control

The invention discloses a non-cooperative spacecraft attitude estimation method based on virtual sliding mode control, and belongs to the technical field of non-cooperative spacecraft navigation. The non-cooperative spacecraft attitude estimation method comprises the following steps: utilizing a virtual control sliding mode controller based on the Lyapunov principle; using target satellite absolute attitude obtained by a stereoscopic vision system as a control objective; according to motion characteristics of the target satellite, establishing a virtual satellite motion model of the target satellite; using a kinetic model of the virtual satellite as a controlled member to obtain attitude parameters of the virtual satellite; using attitude parameters estimated by the virtual satellite and the target satellite absolute attitude obtained by the stereoscopic vision system as controlled input, and calculating the virtual revolving moment on the motion model of the virtual satellite through the virtual sliding mode controller, so as to realize the estimation of the target satellite attitude parameters by the virtual control sliding mode controller. The non-cooperative spacecraft attitude estimation method disclosed by the invention is low in calculated amount, and can still achieve higher convergence rate and higher precision when the initial error of the state variables is high or the system error emerges, so as to meet the requirements of the high performance navigation system.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Trade financing methods and systems on distributed ledger

The invention provides trade financing methods and systems on a distributed ledger. The methods and systems are based on block-chain technology. One of the methods includes: generating a right and interest voucher by a core enterprise; and splitting and transferring the right and interest voucher level by level among multi-level suppliers. Specifically, the core enterprise and the multi-level suppliers create distributed-ledger account numbers, and select certificates for login, and certificate signature verification is carried out by a service end of the distributed ledger; the core enterprise generates the right and interest voucher; the right and interest certificate is split and transferred level by level among the multi-level suppliers; trade financing is carried out on the basis of the right and interest voucher, and trade financing records are generated; and the core enterprise carries out asset transferring and encashment of the payer and the receivers according to contract contents in the right and interest voucher. According to the methods and systems, the financial trade system collapse problem is avoided, and trade processes are safer; financial trade process executionefficiency is improved, trade time delays are reduced, and processing costs are also reduced; risk control risks are effectively reduced; and robustness of a trade system is guaranteed.
Owner:BUBI BEIJING NETWORK TECH CO LTD +1

Aircraft positioning method based on positioning and sensing device

The invention relates to an aircraft positioning method based on a positioning and sensing device. The method comprises the following steps: acquiring aircraft attitude information by virtue of an inertial sensor unit, collecting relative altitude information by utilizing an ultrasonic sensor, and acquiring real-time ground image information by utilizing a camera; acquiring relative displacement information of the aircraft by utilizing an improved optical flow method, and acquiring global position and attitude information of the aircraft by utilizing grid information; and realizing an accurate and robust aircraft positioning method by virtue of multi-sensor information fusion and acquisition by utilizing a filtering algorithm. Long-term accurate positioning of the aircraft can be realized in case of absence of GPS signals and any other external aided navigation, the robustness is high, and an accumulative error is avoided.
Owner:ZHEJIANG UNIV

Iterative incremental dialogue intention category identification method based on small sample

The invention relates to an iterative incremental dialogue intention category identification method based on small samples. The method is based on a small sample data set. Training starts from a preliminary classification model, and along with the use of a model, the number of the preliminary models is continuously increased. Model accuracy is also gradually improved, and a training mode that a large number of samples are needed by a previous deep learning model is abandoned. According to the method, in the iterative training process, only a small number of samples are needed to train a new preliminary classification model each time. The weights of other existing historical preliminary classification models are not changed. Results of all the preliminary classification models are input into the secondary classification model for training, the calculation speed of the model cannot decrease along with increase of the number of samples, the similarity screening model can screen and removethe existing preliminary classification model, the performance is maintained under the condition that the accuracy is guaranteed. Compared with the prior art, the method is advantaged in that the number of training samples is small, the calculation performance is stable, and the model is easy to update and expand.
Owner:TONGJI UNIV

Dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition method

The invention discloses a dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system. According to the dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system, a wide-angle camera and a long-focus camera are adopted as an unmanned aerial vehicle detection device and recognition device respectively for performing monitoring; and a monitoring image sequence is acquired, a target detection algorithm is adopted to detect an unmanned aerial vehicle suspected target, a pattern recognition algorithm is adopted to recognize the suspected target, and after the target is confirmed, the track is tracked, interfered and controlled. Photoelectric sensors are adopted as the unmanned aerial vehicle detection device and recognition device, and therefore, the dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system has the advantages of high reliability, low cost and the like; the suspected target is searched in a large space region by means of a wide-angle imaging system, and the target is confirmed and tracked by means of a long-focus imaging system which is a two-axis turntable, and therefore, requirements for high detection rate and high accuracy can be satisfied, the reliability of the system can be greatly improved, and therefore, the system can bring outstanding economic benefits and has high practical value.
Owner:HUAZHONG UNIV OF SCI & TECH

Simultaneous localization and mapping method based on vision and laser radar

The invention discloses a simultaneous localization and mapping method based on vision and laser radar, and belongs to the field of SLAM. According to the method, the laser odometer and the visual odometer are operated at the same time, the visual odometer can assist the laser point cloud in better removing motion distortion, and meanwhile the point cloud with motion distortion removed can be projected to the image to serve as depth information for motion calculation of the next frame. After the laser odometer obtains a good initial value, the laser odometer is prevented from falling into a degradation scene due to the defects of a single sensor, and the odometer achieves higher positioning precision due to the addition of visual information. A loop detection and repositioning module is achieved through a visual word bag, and a complete visual laser SLAM system is formed; after loop is detected, the system performs pose graph optimization according to loop constraints, accumulated errors after long-time movement are eliminated to a certain extent, and high-precision positioning and point cloud map construction can be completed in a complex environment.
Owner:ZHEJIANG UNIV

Optical-integral sliding-mode attitude control method of reentry vehicle and controller

InactiveCN102862686APreserve nonlinearityCompromise dynamic performanceGround installationsRiccati equationState dependent
The invention relates to an optical integral sliding-mode attitude control method of a reentry vehicle and a controller, and belongs to the technical field of vehicle control. The optical-integral sliding-mode attitude control method comprises the following steps of: firstly designing an SDRE (State-dependent Riccati Equation) nominal attitude control law according to a nominal model of the vehicle, and enabling the performance of a nominal system to meet the proposed optimal indexes; then considering the uncertainty of the system, designing an integral sliding-mode control law on the basis of the SDRE nominal attitude control law, enabling the system to have robustness while meeting the performance index requirement; and in order to weaken the buffeting, introducing a design idea of a second-order sliding mode and enabling the output of the controller to be smoother. The attitude controller designed by the invention not only can guarantee the expected indexes, but also has better robustness.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Diagnosis method for open-circuit fault of inverter power tube

The invention discloses a diagnosis method for an open-circuit fault of an inverter power tube. The diagnosis method comprises the following steps: S1, acquiring a measured value of linear voltage between any two bridge arms of an inverter, taking the measured value as a measured voltage Vijm, estimating the linear voltage between the any two bridge arms according to a preset linear voltage estimation model, taking the linear voltage as an estimated voltage Vije, and performing one-to-one correspondence between the measured voltage Vijm and the estimated voltage Vije, wherein the i and the j represent orders of the two bridge arms respectively, i belongs to {0, 1}, j belongs to {0, 1}, and i is not equal to the j; S2, calculating an error voltage deltaij between the corresponding measured voltage Vijm and the estimated voltage Vije, and judging whether a power tube on one bridge arm generates the open-circuit fault according to an amplitude of the error voltage delta ij and a pulse width; S3, when the power tube generates the open-circuit fault, positioning a fault bridge arm and a fault power tube according to positive polarity and negative polarity of the error voltage delta ij. The invention provides the diagnosis method for the open-circuit fault of the inverter power tube, which can effectively improve the fault diagnosis for safety and reliability of the inverter.
Owner:ANHUI UNIVERSITY

Mimic SDN controller construction method

The invention discloses a mimic SDN controller construction method. The method comprises a control plane, a dispatching plane and a data plane. The control plane is used for realizing tasks of network control and management and providing multiple heterogeneous redundant controller executing parts. The data plane is used for finishing a data forwarding function in a network and comprises hardware facilities such as a switch and a router. The control plane communicates with the data plane through the dispatching plane. The dispatching plane comprises a forwarder, a sensor, a decider and a dispatcher. The mimic SDN controller construction method comprises following specific steps of step 1, collecting network state information and forwarding the information to the controller executives; step 2, carrying out sensing detection on network operation states in real time; and step 3, dispatching the controllers of the control plane dynamically, and carrying out voting output on the sent information by utilizing a majority judgment mechanism. The device has a management mechanism capable of sensing and dynamically dispatching the controllers; abnormal network operation resulting from a failure of a single controller is avoided; exterior attacks are difficult to capture the executing parts responsible for network management; and moreover, the security of the SDN is further improved through adoption of the majority judgment decision-making mechanism.
Owner:THE PLA INFORMATION ENG UNIV

Underwater anti-shaking alignment method for SINS (strapdown inertial navigation systems)/DVL (Doppler velocimeters) of deep-sea underwater vehicles

ActiveCN109443379AAchieving long-duration workOvercome the problem of not being able to continue working normallyNavigational calculation instrumentsNavigation by speed/acceleration measurementsSingular value decompositionKalman filter
The invention discloses an underwater anti-shaking alignment method for SINS (strapdown inertial navigation systems) / DVL (Doppler velocimeters) of deep-sea underwater vehicles. The underwater anti-shaking alignment method includes dividing underwater alignment procedures of the deep-sea underwater vehicles into SINS anti-shaking double-vector fixed-attitude self-alignment for the SINS and SVD (singular value decomposition)-based fuzzy adaptive robust CKF (capacity Kalman filtering) filter alignment for the SINS / DVL by large-misalignment-angle nonlinear error models and fine alignment filteringequations which are built according to underwater complicated environments and characteristics of strapdown inertial navigation and four-beam underwater Doppler navigation systems. The underwater anti-shaking alignment method has the advantages that attitude misalignment angles further can be diminished on the basis that the robustness is guaranteed, accordingly, attitude matrixes C<n> are accurate, and attitude of the deep-sea underwater vehicles can be accurately fixed; the problems that the attitude fixing speeds and the precision are deteriorated and even underwater vehicles cannot normally work due to the traditional inertial navigation alignment algorithms when the existing deep-sea underwater vehicles are initially aligned under the conditions of shaking bases and large misalignment angles can be solved by the aid of the underwater anti-shaking alignment method; the deep-sea underwater vehicles can ultimately work for long endurance.
Owner:SOUTHEAST UNIV

System and method based on SDK for rapidly building mobile internet application module

The invention relates to the technical field of mobile internet application and development, and particularly relates to a system based on an SDK (Software Development Kit) for rapidly building a mobile internet application module. The system sequentially comprises a content displaying layer, an interface framework layer, a function module layer and a configuration management layer from the top to the bottom; by building an SDK module on the basis of an API uniform interface, the SDK module is encapsulated into an API which can be directly integrated to an objective and used in the mobile internet, so that the suitability, accuracy and robustness of the SDK can be ensured, and the system is suitable for rapidly and effectively deploying in mobile internet application. The invention further provides a method based on the SDK for rapidly building the mobile internet application module, the method is applied to the above system and comprises the following steps: firstly, the interfaces of the SDK are unified so as to build the SDK module with the API uniform interface, then the API of the SDK module is directly integrated to the objective and used in the mobile internet, so that the burdensome work of editing codes to SDKs with different versions is eliminated, the workload of mobile internet development is reduced, and the development efficiency is improved greatly.
Owner:XIAMEN ZHUOXUN INFORMATION TECH

A hardware impulse neural network system

The invention discloses a hardware impulse neural network system, comprising: an input node layer and an unsupervised learning layer are connected through a synaptic connection unit in a neuron full connection mode; the unsupervised learning layer and the supervised learning layer are connected through another synaptic connection unit in a neuron full connection mode; the input node layer and theunsupervised learning layer are connected through a synaptic connection unit in a synaptic connection mode. The input node layer realizes the information input under different coding modes, the non-supervisory learning layer adopts the non-supervisory learning mode, and the supervisory learning layer adopts the supervisory learning mode. A synaptic connection unit is realized by an electronic synaptic device, so that that synaptic connection unit has a pulse time dependent plasticity STDP. The synaptic array unit receives as presynaptic pulses the stimulation signals from the neurons in the front layer and the postsynaptic pulses the action potential pulses excited by the neurons in the back layer. The time difference between the presynaptic pulses and the postsynaptic pulses determines the synaptic weight adjustment amount of the synaptic connection unit. The neural network system provided by the invention has a wide application value.
Owner:HUAZHONG UNIV OF SCI & TECH

Train suspension system fault diagnosis and fault-tolerant control method based on dynamic actuator

The invention discloses a train active suspension system fault diagnosis and fault-tolerant control device and a train active suspension system fault diagnosis and fault-tolerant control method based on a dynamic actuator, and belongs to the technical field of automatic control. The train active suspension system fault diagnosis and fault-tolerant control device based on the dynamic actuator comprises a dynamic actuator fault injection module, a platform control module, a fault diagnosis module, a real-time monitoring module and a data acquiring module; and the dynamic actuator adopts an electromagnetic actuator. By the online parameter estimation and adaptive robust fault-tolerant control method based on the dynamic actuator, limitation of the traditional fault diagnosis device under the condition that outside disturbance exists and faults of a plurality of actuators occur synchronously is avoided. The train active suspension system fault diagnosis and fault-tolerant control device and the train active suspension system fault diagnosis and fault-tolerant control method based on the dynamic actuator are easy to operate and high in implementability, and can be used for verifying feasibility on fault diagnosis and state monitoring of a train active suspension system actuating mechanism.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Safe and trusted block chain of data in traceability system and management method

The invention belongs to the technical field of agricultural product data processing, and discloses a safe and trusted block chain of data in a traceability system and a management method, wherein a user layer is a user-oriented interface and performs human-machine interface information interaction with agricultural product consumers; the user layer outputs the block chain service to other resource layers; a management / service layer provides uniform access and management service of nodes of participant parties of agricultural product traceability; a core layer is the core functional layer of the block chain system and provides reliable and efficient service capability for the safety traceability system; a basic layer provides the basic operation environment and components required by normal operation of the block chain system; a cross-layer functional layer provides service for the communication and infrastructure of the agricultural product traceability system. The system transplant the secure communication systems of the block chain into a platform and allows for faster and more transparent information sharing. The specification information communication is the encryption mechanism of strong security, and the asymmetric encryption system / public key system is used to ensure the information interaction security.
Owner:武汉工商学院

Efficient anonymous identity authentication method in Internet of Vehicles environment

The invention provides an efficient anonymous identity authentication method in an Internet of Vehicles environment, and belongs to the technical field of Internet of Vehicles security. According to the technical scheme, the method comprises the following steps of vehicle offline registration, online registration and rapid identity authentication. The method has the beneficial effects that a temporary identity certificate Token mechanism is set, so that the authentication efficiency is improved while the vehicle anonymous two-way communication is realized; a block chain distributed account book mode is utilized, so that data traceability and tamper resistance are guaranteed, and the problems of relatively low identity authentication efficiency, easiness in attack and the like caused by traditional PKI authentication centralization of the Internet of Vehicles are solved; the combination of the blockchain PBFT consensus mechanism and the smart contract greatly reduces the authenticationtime delay of the traditional method.
Owner:NANTONG UNIVERSITY

Feature and model mutual matching face tracking method based on increment principal component analysis

The invention discloses a feature and model mutual matching face tracking method based on on-line increment principal component analysis. The method includes the following steps: off-line modeling is performed on a plurality of face images to obtain a model matching (CLM) model A; key point detection is performed on each frame of a face video to be tracked, and a set of all key points and robust descriptors of the key points are combined to form a key point model B; key point matching is performed on each frame of the face video to be tracked on the basis of the key point model B to obtain an initial face gesture parameter set in each frame of the face images; the model A is used for performing CLM face tracking on the face video to be tracked; re-tracking is performed according to the initial face gesture parameter sets and initial tracking results; the model A is updated, the steps are repeated, and final face tracking results are obtained. The feature and model mutual matching face tracking method based on the on-line increment principal component analysis solves the problem of tracking losing occurred when variation between adjacent frames in a target image is large during CLM face tracking, thereby improving tracking accuracy.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Automatic division method for pulmonary parenchyma of CT image

The invention provides an automatic division method for pulmonary parenchyma of a CT image. According to the automatic division method, the CT is divided through carrying out a random migration algorithm for two times to obtain the accurate pulmonary parenchyma; in the first time, the random migration algorithm is used for dividing to obtain a similar pulmonary parenchyma mask; and in the second time, the random migration algorithm is used for repairing defects of the periphery of a lung and dividing to obtain an accurate pulmonary parenchyma result. Seed points, which are set by adopting the random migration algorithm to divide, are rapidly and automatically obtained through methods including an Otsu threshold value, mathematical morphology and the like; and manual calibration is not needed so that the working amount and operation time of doctors are greatly reduced. According to the automatic division method provided by the invention, a process of 'selecting the seed points for two times and dividing for two times' is provided and is an automatic dividing process from a coarse size to a fine size; and finally, the dependence on the selection of the initial seed points by a dividing result is reduced, so that the accuracy, integrity, instantaneity and robustness of the dividing result are ensured. The automatic division method provided by the invention is funded by Natural Science Foundation of China (NO: 61375075).
Owner:HEBEI UNIVERSITY

SDK (Software Development Kit) automatic test system and method

The invention discloses an SDK (Software Development Kit) automatic test system comprising a server-side device and a client-side device, wherein the server-side device and the client-side device are connected through a computer network; the client-side device is used for generating and storing a test case for each SDK external development interface and sending the test case for each SDK externaldevelopment interface to the client-side device; and the client-side device is used for analyzing an executable test case for each SDK external development interface from a source code file of the test case received from the server-side device, loading and executing the analyzed executable test case for each SDK external development interface and generating a test report for each SDK external development interface. By adopting the invention, the SDK test can be automatically carried out, the work load of the SDK test is alleviated, and the accuracy and the robustness of the SDK are ensured.
Owner:ULTRAPOWER SOFTWARE

Modeling and optimization method for production scheduling problem distribution set robust model

The invention provides a modeling method for a production scheduling problem distribution set robust model, which belongs to the field of production scheduling and operations research. A distributed set robust optimization method based on an uncertain distribution function set is adopted to model the production scheduling problem, the model is composed of an objective function and constraint conditions, the objective of the model is to search for an optimal robust scheduling sequence, and thus, in a condition in which the total flow time of the sequence obeys the worst distribution in the processing time, the minimum condition risk value is realized. In the case of solution, the model is decomposed to an assignment subproblem and an integer two-order cone programming subproblem, and a minimum average processing time priority criterion and two Cauchy relaxation algorithms designed by the invention are adopted to optimize the model and obtain the optimal solution. The distribution set robust optimization method is applied to the production scheduling problem, the method is more applicable to the actual production condition compared with the existing robust modeling method, and in a condition of ensuring the system performance, a decision risk is reduced.
Owner:TSINGHUA UNIV
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