56results about How to "Strong uniqueness" patented technology

Provided is a commodity double-layer anti-fake method based on technologies of internet of things. The commodity double-layer anti-fake method based on the technologies of the internet of things comprises a plain code layer, a code layer, a mobile terminal, a server and a database. The plain code layer only contains inquiry codes which are used for inquiry of commodity information. A user obtains an inquiry code through the mobile terminal, and the inquiry code is automatically sent to the server. The server obtains a commodity information code through a decipherment algorithm, inquires corresponding commodity information from the database, and then sends the commodity information back to the mobile terminal. The code layer only contains verification codes which are used for verification of authenticity of a commodity, wherein a verification code and a corresponding inquiry code are a pair of rule codes which are bound in a one-to-one correspondence mode. The user obtains the verification code through the mobile terminal which is provided with identification software of two-dimension codes, bar codes or digital codes, and the verification code is automaticlly sent to the server. The server matches the verification code and the inquiry code, and sends a matching result back to the mobile terminal. The commodity double-layer anti-fake method based on the technologies of the internet of things has the advantages of being good in anti-fake performance, providing convenience, and being high in encryption performance, rapid, not prone to being forged, and beneficial for protecting rights and interests of consumers and enterprises.

The invention provides a vehicle identification data processing method. The method includes the steps of obtaining vehicle bus data through a vehicle bus, wherein the vehicle bus data include an engine identification code and further include at least one of vehicle bus configuration data, vehicle system configuration data, trip computer parameters, the vehicle bus type, the vehicle communication protocol category and vehicle delivery capacity; generating vehicle genetic data according to the combination of the vehicle bus data, uploading the vehicle genetic data to a data processing server, wherein the vehicle genetic data are used for vehicle identification. According to the vehicle identification data processing method, the vehicle genetic data uploaded to the data processing server have high uniqueness, vehicle identification can be achieved according to the vehicle genetic data so that different vehicles can be distinguished, and the method can be widely applied to various fields such as the traffic management field, the investigation field and the vehicle positioning field. The invention further provides a vehicle identification data processing device and system.

The invention discloses a method for authenticating an identity and a device for authenticating the identity, relates to the technical field of Internet, and can solve the problem that individual accounts in internet application can not be practically protected. The method disclosed by the invention comprises the following steps: obtaining characteristic data of a user; analyzing an account safety state of a user according to the characteristic data; finding an operating authorization corresponding to the account safety state; executing the operating authorization corresponding to the account safety state. The method and the device are mainly applied to an account safety detection process.

The invention discloses a bank exchequer long-distance defense management system which is technologically characterized by comprising a central exchequer management center, a branch exchequer management center, a communication network, a firewall and a VPN router, wherein the central exchequer management center comprises a central database server, a managing electric lock, a card and certificate center and a long-distance exchequer defense workstation; the branch exchequer management center comprises a database server, a network converter, an exchequer access controller, a fingerprint machine, a professional entrance guard power supply, an electric lock and a warning device; the central exchequer management center is connected with the firewall through the communication network; the firewall is connected with the VPN router; the network converter is connected with the firewall through the communication network; the exchequer access controller is connected with the network converter. The bank exchequer long-distance defense management system combines long-distance defense with local defense, uses the exchequer access controller as the core, has the function of defense in advance, and can avoid internal steal and external steal.

The invention discloses a port area ship target change detecting method based on remote sensing images and belongs to the field of target detection. The method comprises steps of: firstly obtaining two remote sensing images of the same port at different time phases; secondly, registering the two remote sensing images of the same port area acquired at different time; then, using a template image to perform mask operation on the two images, shielding a land area to obtain a sea area, homogenizing sea area image sea colors, and filling the shielded land area with a sea area mean value; making subtraction of the two registered images, and segmenting the subtracted image; finally, extracting the image feature of a slice, removing false alarm, determining the changed ship slices in the slices so as to obtain the changed ship target positions and corresponding information of the two remote sensing images. The method can accurately and quickly eliminate the influence of the cloud and the changed sea background on a final result, reduces a false alarm rate, completely and accurately segments and detects changed ship targets, and improves a detection rate.

According to a training system for an attention dysfunction after a cerebral injury, a special computer software program is built, and the software is operated through a picture and voice module. 'Attention span' 'attention continuation' 'attention transference' 'selection of attention' 'transference of attention' and 'attention distribution' of a patient are trained through voice and picture hints, a trainee selects the correct answer according to the heard voice and a plurality of seen question graphs, and the training content comprises articles needing to be identified and used by the user in the daily life, and is graded training from the easier to the more difficult. The training system comprises a data processing device, a data input device, a data output device and a video and audio acceptation and processing device. The training system is reasonable in design, high in pertinence, multifunctional, and convenient to use.

The present invention discloses a resistance voltage divider type DAC-PUF circuit which comprises an input register, a bias voltage generation circuit, a voltage comparator, and a time sequence controller. The bias voltage generation circuit comprises a two resistance voltage divider type DACs with the same structure. Each of the resistance voltage divider type DACs comprises three 2-4 decoded with the same structure, an operational amplifier, and four resistance divider units with the same structure. The resistance divider units comprise 22 NMOS tubes and 17 resistors. The circuit has the advantages that a digital and analog mixing mode is employed, the mismatch of the resistance voltage divider type DAC resistors is used to generate a bias voltage signal, the output key change is realized, in the TSMC-LP 65nm CMOS process, a full customization mode is used to design the circuit layout of the invention, the resistance voltage divider type DAC-PUF circuit is tested, an experimental result shows that the uniqueness of the resistance voltage divider type DAC-PUF circuit is strong, the randomness and reliability in different working environments are larger than 99.1% and 97.8%, and the circuit can be widely applied to the fields of key generation and device authentication.

A shadow puppet control robot achieves horizontal motion through a spiral transmission mechanism, achieves vertical motion through a crank sliding block mechanism, achieves arm simulation action through an open-loop mechanical arm structure, and transfers arm simulation action to a shadow puppet arm through a parallelogram mechanism so as to achieve the purpose of controlling a shadow puppet to perform. Through mechanical and electrical integrated control, shadow puppet play performance is simpler, load of artists is reduced, accordingly the shadow puppet performance technology heads for automation in true meaning, and the shadow puppet control robot adapts to the modern performance devices and enables shadow puppet culture too be passed on better.

The invention discloses a finger vein identification method, which relates to the field of biometric identification. The method comprises the following steps: the received image to be matched is divided into blocks to obtain an image block; the SIFT eigenvalues of each image block are obtained by extracting the SIFT eigenvalues of several image blocks; according to the SIFT eigenvalue of each image block, the similarity between each image block and each cluster center in the image library is calculated, and the distance value corresponding to each cluster center is obtained, wherein the clustering center is the feature center of all kinds of image blocks of template image in the image library; candidates of clustering centers are selected according to the distance value; the image to be matched is compared with each image in the candidate class one by one, and the recognition result is obtained according to the comparison result. This method can match finger vein image quickly and accurately, and improve the efficiency of finger vein recognition. The invention also discloses a finger vein identification apparatus and device, which have the beneficial effects.

The invention discloses a method and apparatus for verifying the authenticity of electronic archives for solving the problems that the method for verifying the authenticity of electronic archives in the prior art is relatively simple, the security is relatively low, and that the accuracy of the verification results cannot be ensured effectively. The method for verifying the authenticity of electronic archives comprises the following steps: obtaining a to-be-verified electronic archive and metadata of the to-be-verified electronic archive; generating a digital digest of the to-be-verified electronic archive; extracting core metadata of the to-be-verified electronic archive; obtaining an identity card of the electronic archive, analyzing the identity card of the electronic archive, and extracting an identity card serial number of the electronic archive, a public key certificate of a receiving unit receiving the electronic archive and a signature value from the analysis result; and based on the public key certificate of the receiving unit, the signature value, the digital digest of the to-be-verified electronic archive and the core metadata of the to-be-verified electronic archive, performing digital signature verification by using an asymmetric algorithm to determine the authenticity of the to-be-verified electronic archive.

The invention discloses a specific PCR (Polymerase Chain Reaction) primer pair for detecting the resistance of (i)Bemisia( / i)(i)tabaci( / i) on thiamethoxam, a kit and a detection method. The forward primer nucleotide sequence of the specific PCR primer pair is as shown in SEQ ID No.1, and the reverse primer nucleotide sequence of the specific PCR primer pair is as shown in SEQ ID No.2. The fluorescent quantitative PCR detection method of the bemisia tabaci on the thiamethoxam, which is disclosed by the invention, has the characteristics of less labour power, small sample quantity, large detection quantity, high sensitivity, high specificity, fastness, simpleness, convenience, accuracy and reliability, thereby effectively detecting the resistance of the bemisia tabaci on the thiamethoxam; the fluorescent quantitative PCR detection method disclosed by the invention is suitable for the early fast diagnosis of the resistance of the bemisia tabaci on the thiamethoxam, can be used for the real-time monitoring, prewarning and prediction of the resistance of the field bemisia tabaci on the thiamethoxam and is wide in application prospect.

The invention relates to a circular loop statistic characteristic-based anti-rotation image Hash method, which comprises the following steps of: normalizing the size of an image size by using a bilinear interpolation method; processing the image by using a Gaussian low-pass filter; if the image is a color image, converting the image into a YCbCr color space, and representing the color image by using a brightness component; dividing the image into a plurality of circular loops, and extracting statistical data such as an average value, variance, skewness degree and kurtosis of each circular ring as characteristics; normalizing the statistical characteristics; calculating an average value of the statistical data, taking the average value as a reference, calculating Euclidean distances between the statistical characteristics of the circular loops and reference characteristics, and connecting all distance values in series to obtain an image Hah; and when similarity is judged, calculating L2 norms of two Hashes, determining that corresponding images are the same if the similarity is less than a set threshold value, otherwise determining that the corresponding images are different. The method is robust for common digital processing such as image rotation, joint photographic experts group (JPEG) compression, noise jamming, brightness regulation and contrast enhancement, and is high in uniqueness.

The invention relates to an anti-counterfeiting mark with a holographic tactile structure and a preparation method thereof, and belongs to the technical field of anti-counterfeiting marks. The anti-counterfeiting mark comprises a peeling layer and a bottom layer, wherein a first PET layer, a permanent mold pressing information layer, a local positioning molding layer, a local positioning washing aluminum ink layer, an aluminum plating layer, a first resin layer, a digital printing ink layer, a film coating glue layer and a second PET layer, a release layer, a second resin layer, a variable information printing ink layer, a film coating glue and grain layer, a fragile layer, a glue adhesive layer and a silicon oil paper layer are sequentially arranged from top to bottom; The anti-counterfeiting mark has the advantages of good anti-counterfeiting effect, good touch feeling and bright color. Meanwhile, the invention also provides the preparation method thereof, which is scientific and reasonable, and is simple and easy to implement.

The invention discloses a method for enhancing system reliability based on a physical unclonable function. The method comprises the following steps thata client requests data transmission with a server; the server randomly selects a plurality of MOS devices in the MOS array and acquires position information of the MOS devices; the server calculates the time constants of the defects in the MOS devices according to the stored intrinsic parameters of the defects in the MOS devices, then calculates the probability physical unclonable function that the defects in the MOS devices are occupied by carriers, and builds a probability model; the server randomly generates detection time according to the probability model and sends the detection time and the position information to a client; and the server judges the probability that the defects in the plurality of MOS devices are occupied under the detection time according to the probability model and generates a theoretical value secret key, wherein the theoretical value secret key comprises a theoretical authentication bit and a theoretical uncertain bit.

The invention relates to an intelligent steering wheel with human body data monitoring and fingerprint recognition functions. The intelligent steering wheel comprises a steering wheel body and is characterized by further comprising a human body signal collector, an action unit and a control unit, and the human body signal collector, the action unit and the control unit are arranged on the steeringwheel body. The human body signal collector comprises a fingerprint collector, a sensor group and a camera; the control unit comprises a video decoder and a processor, and the processor comprises a human body signal storage module, a data analysis module and an output module; an output end of the camera is connected with an input end of the video decoder, an output end of the video decoder, the sensor group and the fingerprint collector are connected with the human body signal storage module, the data analysis module is connected with the human body signal storage module, an output end of thedata analysis module is connected with the output module, and the output module is connected with the action unit which is used for generating alarms or prompts.

The first and last code Chinese character input selects radicals of 100-130, defined on the letter keys and selected punctuation marks keys, maximizing the first code based on the sequence of writing, and maximizing the last code radical based on the reverse sequence, then maximizing the second radical based on reverse sequence, then the third code. In the sequence of codes, it is based on the sequence of first code, last code, second code and the third code to realize the maximization of the radicals, with the latter giving way to the previous when the strokes of the codes in contradiction. It is easy in character resolution, low in code repetition, visual, easy to remember, and easy to learn.

The invention discloses a strong / weak hybrid PUF circuit for resisting model attack, comprising a control circuit and N PUF unit circuits with the same structure, wherein a PUF cell circuit includes astorage type random source, a linear feedback shift register, a serial-parallel module and an arbiter PUF, the clock side of the linear feedback shift register and the clock side of the serial-parallel block are connected to the clock signal, the input of the arbiter PUF is connected to an input signal, the output of the arbiter PUF is used to output the PUF output response, the 8-bit parallel output of the storage random source is connected to the 8-bit parallel input of the linear feedback shift register, the serial output terminal of the linear feedback shift register is connected with theserial input terminal of the serial-parallel module, the 16-bit parallel output terminal of the serial-parallel module is connected with the 16-bit parallel control terminal of the arbiter PUF, and the memory random source comprises eight memory cells with the same structure; the serial output terminal of the linear feedback shift register is connected with the serial input terminal of the serial-parallel module. The advantages are good randomness, uniqueness and security.

The invention discloses a method for constructingfingerprint spectrums of natural Apis cerana longan honey and natural A.mellifera ligustica longan honey and identification and application of the fingerprint spectrums of the natural Apis cerana longan honey and the natural A.mellifera ligustica longan honey. A headspace solid-phase microextraction-gas chromatography-mass spectrometry method and aChinese herbal fingerprint spectrum similarity evaluation system are used to respectively construct GC / MS fingerprint spectrums of the natural Apis cerana longan honey and the natural A.mellifera ligustica longan honey; the GC / MS fingerprint spectrum of the natural Apis cerana longan honey is determined to contain 16 common feature volatile ingredients, and the GC / MS fingerprint spectrum of thenatural A.mellifera ligustica longan honey contains 15 common feature volatile ingredients. By comparing the similarity and the difference of the chemical composition of a total ion chromatogram of a to-be-tested natural longan honey sample and the constructed GC / MS fingerprint spectrum, the natural Apis cerana longan honey and the natural A.mellifera ligustica longan honey are accurately distinguished and identified. The method has the characteristics of small use level of samples, strong characteristics and reliable result, is quite beneficial for solving the problem that the Apis cerana longanhoney and the A.mellifera ligustica longan honey are difficult to distinguish on the market, and has a quite remarkable social benefit.

The invention discloses a parasite egg image registration method, and relates to parasite egg image registration. The parasite egg image registration method comprises a Harris corner point algorithm and an image registration process, and further comprises the following steps: S1, sampling parasite eggs for multiple times, specifically, setting a registration image set of a source image set; S2, carrying out the same preprocessing of the source image and the registered image, carrying out the preliminary image rotation, translation and scale transformation through the basic statistical features, and removing the redundant noise; S3, performing Harris corner detection on the source image and the registration image by using a Harris corner algorithm, and recording corner coordinates; S4, setting a registration area; S5, calculating a correlation coefficient of a registration area of the source image and the registration image; S6, judging the matching degree of the source image and the registration image by using the correlation coefficient; and S7, entering an image registration process. According to the invention, the identification accuracy of parasitic ova is improved by using animage registration method; and the parasite egg image registration method has good feature invariance, uniqueness, stability and independence.

The invention provides a movable texture anti-counterfeiting method and a marker. The method comprises the following steps: coding a product, and recording texture information; bonding movable textures formed by individual elements on the base material layer; arranging a transparent protective layer to fix the movable individual elements; collecting the feature information of the immobile individual elements, and filing the feature information into an anti-counterfeiting inspection system database as a texture information file; and checking whether the immovable texture is consistent with thetexture information file or not by using the smart phone so as to identify the authenticity of the product. The method is convenient for the public to discriminate true and false textures by hands, and is high in anti-counterfeiting strength.

The invention discloses a pharmaceutical composition for improving climacteric symptoms. The pharmaceutical composition comprises the following materials in parts by weight: 12-20 parts of glossy privet fruits, 12-20 parts of eclipta, 8-15 parts of rhizoma cyperi, 4-10 parts of lilies, 14-25 parts of oysters, 12-20 parts of spina date seeds, 4-14 parts of rhizoma anemarrhenae and 0.1-2.5 parts of oviductus ranae. The preparation method of the pharmaceutical composition comprises the following steps of: extracting and concentrating the glossy privet fruits, the eclipta and the rhizoma cyperi by alcohol to obtain thick extract A; water-extracting and concentrating the lilies, the oysters and the rhizoma anemarrhenae to obtain thick extract B; mixing the thick extract A with the thick extract B, drying, crushing and sieving to dry extract powder; crushing and sieving the oviductus ranae; and mixing the dry extract powder with the oviductus ranae, adding normal auxiliary materials for preparing an oral solid preparation according to a normal process. The pharmaceutical composition disclosed by the invention has the function of improving the climacteric symptoms, and can be used for preparing healthcare food, common food or drugs.

The invention discloses a soft PUF (Physical Unclonable Function) based on a Camellia encryption algorithm, which comprises a hardware platform, the hardware platform is a 128-bit Camellia encryption algorithm hardware circuit, PUF response data is acquired by utilizing path delay deviation in the Camellia encryption algorithm hardware circuit, special hardware overhead is not needed, PUF response acquisition is carried out under a fixed clock frequency, the instability phenomenon caused in the frequency change process is avoided, in addition, the PUF response is subjected to multi-round data randomization of the Camellia encryption algorithm, the uniqueness and randomness are relatively high, the collection difficulty of extracting the PUF response from the output of the Camellia encryption algorithm hardware circuit is low, the number of bits is relatively large, and the security is relatively high. The Soft PUF based on the Camellia encryption algorithm has the advantages of frequency disturbance resistance, high reliability, good uniqueness and randomness and high security, and is beneficial to application in the field of information security.

The invention discloses a vector graphic feature point extraction method based on direction feature and local uniqueness, which is divided into two parts: direction feature value calculation and local uniqueness screening. In the direction feature value calculation part, the edge feature is calculated through a sliding window; in the local The uniqueness screening part calculates the uniqueness between each region, combines the direction feature and its uniqueness and scores each window region, and sorts in descending order to obtain the top n optimal feature points. A number of alignment feature points can be quickly extracted from the vector map, and the feature points have good uniqueness. At present, this algorithm has been maturely applied to automatic alignment equipment.

The invention discloses a method for identifying authenticity of agilawood. According to the method, a GC / MS fingerprint map of a to-be-detected agilawood sample is established, and if the GC / MS fingerprint map of the to-be-detected agilawood sample is basically consistent with that of natural agilawood and the to-be-detected agilawood sample contains six feature ingredients including (1) benzylacetone, (2) p-methoxybenzylacetone, (3) agarofuran, (4) agarospirol, (5) hinesol and (6) baimuxinal, the to-be-detected agilawood sample is natural agilawood; if the GC / MS fingerprint map of the to-be-detected agilawood sample has a bigger difference with that of the natural agilawood and the to-be-detected agilawood sample only contains part of the six feature ingredients or doesn't contain the six feature ingredients, the to-be-detected agilawood sample is fake agilawood. The provided method has the characteristics of small dosage of samples, simplicity, convenience and rapidness in operation, remarkable characteristics and accurate and reliable result and is suitable for identifying the authenticity of agilawood without damaging the overall structure of an agilawood storage product, and the method can be used for identifying the authenticity of the agilawood and agilawood artware.

The invention discloses a storage anti-damage system in an article transportation process, which comprises a detection host, a conductive detection line used for packaging an article is connected to the detection host, and two ends of the detection line are respectively connected with the detection host in a locking manner; the detection host comprises a control module, a detection port of the control module is connected with a first link, a first capacitor and a first voltage-regulator tube are connected in parallel on the first link, a second voltage-regulator tube is connected between the first capacitor and the first voltage-regulator tube and between the first link, a cut-off end of the second voltage-regulator tube is connected with the first link, and a cut-off end of the second voltage-regulator tube is connected with the second link. The conducting end of the second voltage-regulator tube is grounded; the first link is conductively connected with the detection line; wherein an identity communication module and a second capacitor are integrated on the detection line, and the second capacitor is connected in parallel with a power supply port of the identity communication unit. Independent work of the marking body effectively guarantees independence and safety of a blocked object, the marking body and the monitoring body work independently, and safety of the whole product is effectively improved.

The invention discloses a digital watermark data tracing method based on an attribute importance index, and the method specifically comprises the following steps: 1, summarizing original data to be distributed, and extracting a prediction attribute and a class label attribute of each piece of original data to form a data table; 2, creating a watermark index table according to a data receiver of the original data, and generating a key KEY; 3, forming a non-important attribute set attr; 4, embedding a watermark to obtain a data set containing the watermark; 5, distributing the data set containing the watermark according to the information of the data receivers in the watermark index table, and collecting suspected leakage data which is completely or partially leaked in the distribution process or after distribution to form a suspected leakage data set; 6, extracting all sub-watermarks in each piece of data in the suspected leakage data set, and connecting the sub-watermarks with complete watermarks; and 7, extracting the complete watermark, and finding out a corresponding data receiver through the watermark index table, namely an individual with leaked data, so as to complete data leakage traceability.

The invention aims to provide a piezoelectric ceramic novel label, and an identification system and an identification method for the piezoelectric ceramic novel label for meeting a protection requirement on special goods. The piezoelectric ceramic novel label has a piezoelectric ceramic sheet, wherein conducting layers are coated on two planes of the piezoelectric ceramic sheet; and the conducting layers on the two planes are not conducted. The identification system comprises the piezoelectric ceramic novel label to be labeled, an impedance analyzer and a computer, wherein the conducting layers on the two planes of the piezoelectric ceramic novel label are connected with the impedance analyzer by leads; and the impedance analyzer is connected to the computer. The impedance characteristic information of the piezoelectric ceramic (lead zirconate titanate (PZT)) label is correlated with PZT materials, glue water, structural physical characteristics and the like, so the PZT label is strong in uniqueness and relatively simple to identify and can be used as a special label.