87results about How to "Improve singleness" patented technology

The invention provides an optimal protection policy analysis system and method based on an improved ant colony algorithm. The system comprises a network risk assessment subsystem, an attack path prediction subsystem and a security policy management subsystem. The method comprises the following steps: 1) importing a Bayesian probabilistic model to describe the complex relationship between multiple steps of atomic attacks, and constructing an attack diagram by using the Bayesian belief network to evaluate a network security risk; 2) simulating a decision making process of an attacker in combination with the quantitative indexes of the protection cost and the gain, and predicting a possible attack path; and 3) using the improved ant colony algorithm capable of calculating the quasi-optimal solution within a polynomial time to solve the security policy selection problem on the attack path. By adoption of the optimal protection policy analysis system and method, a risk solution can be provided for a network security administrator in time, the attack path prediction and protection strategy selection problems in network security protection are solved, and the security of the whole network under the condition of limited protection resources is effectively protected.

The invention relates to an RFID (radiofrequency identification) tag applied to intensive distribution scenarios and a mutual impedance design method thereof. The RFID tag designed comprises a dielectric substrate, a metal microstrip antenna and a chip; the metal microstrip antenna and the chip are arranged on the dielectric substrate. The metal microstrip antenna is composed of a pair of radiation patches, a pair of bent radiation arms and a resonant matching ring. The radiation patches are in a rectangular shape. The bent radiation arms are in an M shape; 10 folds are made on each side of the bent radiation arms. The resonant matching ring is U shaped; two vertical arms of the resonant matching ring are connected with a feeder; the feeder is welded to an anode and a cathode of the chip and connected in a single-port manner. By the use of the mutual impedance design method to the RFID tags, mutual coupling of RFID tags is decreased. The RFID tag has a maximum transmission coefficient 0.8, a maximum gain 2.28dbi and a longest reading distance 10m under operating frequencies; the RFID tag has a wider range of coverage. Under the frequency 920MHz, the RFID tags spaced by 2mm generate mutual impedance less than 50ohm; a good capacity to recognize multiple RFID tags is provided.

The invention discloses a bicycle power generation bodybuilding system, which is characterized by comprising a friction generator for outputting alternating current through friction between the generator and a bicycle wheel, a power supply processing module for providing a power supply and signal processing function for the system, and a display module for displaying the value of calories consumed by a user who rides a bicycle and riding parameters in real time. The system can quickly and accurately detect and display the riding parameters and is high in intelligent degree, and complete parameters are detected.

The invention relates to (LMO-NCM-AC)/(LTO-AC) hybrid battery capacitor electrode material and electrode sheets. The electrode material comprises positive electrode material and negative electrode material. The positive electrode material comprises the following components according to mass percent: 4-6% of AC, 5-8% of binder, 3-10% of conductive agent and the rest percent of LMO-NCM. The negative electrode material comprises the following components according to mass percent: 3-8% of AC, 5-8% of binder, 3-10% of conductive agent and the rest percent of LTO. The electrode sheets comprise a positive electrode sheet and a negative electrode sheet. The positive electrode sheet comprises a current collector and the positive electrode material which is formed on the surface of the current collector. The negative electrode sheet comprises a current collector and the negative electrode material which is formed on the surface of the current collector. Physical mixing is performed by utilizing LMO, NCM and other positive electrode material with complementary performance so that rate performance and overcharge safety performance can be improved, cost can be reduced and material single performance can be improved.

The invention relates to a culture-multi-ant colony algorithm virtual machine integration method under the cloud platform. The method includes 1), establishing an optimal migration plan of a virtual machine by the aid of a culture-multi-ant colony algorithm; 2), improving defects of a greedy algorithm in the putting procedure of the virtual machine by the aid of the culture-multi-ant colony algorithm and avoiding difficulties of a particle swarm algorithm in dealing with discrete problems; 3), improving oneness of an ant colony algorithm by the aid of the culture-multi-ant colony algorithm. Through cloud-computing simulation software CloudSim, effect of the suggested virtual machine migration method can be evaluated; as is indicated in simulation results, under the situation of minimum migration times, as many as physical machines can be made to hibernate, and energy consumption is reduced; the culture-multi-ant colony algorithm virtual machine integration method is superior to the multi-ant colony algorithm and the multi-ant colony algorithm migration method in aspects of migration times and energy consumption of the virtual machine.

The invention provides a vegetation extraction method and system. The vegetation extraction method comprises steps of: extracting an intermediate echo from echo data acquired from a scanned scene, wherein the intermediate echo is waveform data with penetrability in a laser radar point cloud, and the echo data is obtained by a multi-echo laser scanning system; acquiring scene three-dimensional point cloud data, using an intermediate echo point in the scene three-dimensional point cloud corresponding to the intermediate echo as a vegetation point; and extracting all vegetation point cloud data from the scene three-dimensional point cloud data according to the vegetation point. The method and the system solve a problem that vegetation main characteristics in the laser point cloud data is difficult to acquire, effectively increase vegetation extraction quality so as to quickly position vegetation trunk and crown and achieve an accurate and high-efficient positioning result.

The invention discloses an automatic monitoring and early warning system and method for underground water and harmful gas in the tunnel construction period. The system comprises a thermal infrared imager and a gas detector which are arranged on a mobile cart; when the water content or harmful gas concentration exceeds an early-warning threshold value, a signal can be transmitted to an early-warning device, and the early-warning device can carry out different-level early warning on water and gas separately according to the risk degree. The system integrates monitoring, early warning and control, gives out an alarm in time, achieves real-time alarm and remote alarm, can carry out real-time processing through a linkage processing system, and guarantees the normal construction progress of a tunnel and safety of workers.

An LED lamp strip structure comprises a substrate, a plurality of light emitting diode chips arranged on the substrate, and a fluorescent layer enclosing the light emitting diode chips. The fluorescent layer comprises a plurality of first portions and a plurality of second portions, wherein the first portions are arranged right above the light emitting diode chips, and the second portions are connected between every two adjacent first portions. The concentration of fluorescent powder inside the first portions is higher than that of the fluorescent powder in the second portions. The invention further relates to a manufacturing method of the LED lamp strip structure.

The invention discloses a system and a method for enhancing the application installation operation safety of an Android system, and relates to the technical field of Android system application installation certificate authentication and application permission authentication management. A checking information body containing an application certificate and an application permission file is added to an original Android application structure per se; during application installation or operation, whether the application certificate and the application permission file are qualified or not are respectively checked; after the application certificate and the application permission file are qualified by checking, an Android original system installation or operation checking flow process is performed; a root certificate of a preset security chip is used for checking the application certificate; the application certificate is enabled not to be tampered; the application permission controllability is ensured through the duplex verification on permission; in addition, a great amount of flow process tampering is not performed on an Android original permission and application installation signature checking system; the system completeness is ensured; meanwhile, the system security is enhanced; the system and the method are applicable to various kinds of special intelligent equipment using an Android system for finance, police use and military use.

The invention discloses an information processing method used for data visualization. The method comprises the following steps that: carrying out identifiability analysis on received input information, and converting the input information which can be identified into medium information of an appointed presentation form; responding to confirmation information for the medium information to determinewhether the input information is correctly identified or not, and when the input information is correctly identified, determining a keyword set on the basis of the identification result of the inputinformation, wherein the confirmation information is used for indicating whether the medium information correctly presents the input information or not; and on the basis of the keyword set, determining an interaction instruction corresponding to an identification result so as to execute the interaction instruction. The method of the invention is implemented.

The invention provides spicy beef, and relates to the technical field of food. The spicy beef is mainly prepared from the following raw materials in parts by weight: 70-130 parts of beef, 5-10 parts of special chili powder, 2-15 parts of pickling materials and 2-15 parts of edible oil, wherein the special chili powder comprises 1-2 parts of a flavor enhancer, 1-2 parts of Chinese prickly ash, 1-2 parts of edible spice and 2-4 parts of chili powder; the pickling materials comprise salt, edible spice, fennel fruits, fructus tsaoko, ligusticum chuanxiong, Chinese prickly ash and hot peppers. The spicy beef provided by the invention is low in oil content, convenient to transport and good in mouth feel. The invention further provides a making method of the spicy beef.

The present invention relates to the field of medical tracer diagnosis reagent. The nano carbon is an ideal trancer. Said invention relates to a nano carbon suspension injection, and is characterized by that in said injection the carbon whose grain size is 80 nm is adopted, and the polyvinyl pyrrolidone (PVP-K30) suspension adjuvant is added, then the above-mentioned materials are undergone the processes of magnetic stirring, reflux and ultrasonic treatment so as to obtain the invented nano carbon suspension injection.

The present invention discloses a hyaluronic acid-containing pet molar rod composition as well as a preparation method and applications thereof. The hyaluronic acid-containing pet molar rod composition comprises meat powder and hyaluronic acid containing thallus crushing substances or salts thereof; the composition uses viscosity of hyaluronic acid and thallus crushing substances to replace starch, gel and other adhesives or forming agents, and after the molar rod is prepared, due to rich hyaluronic acid, the molar rod can inhibit bacteria, diminish inflammation, remove halitosis, protect gingiva and oral mucosa and also has the health-care effects of brightening hair and strengthening bones after being digested and absorbed, the unicity of the function of a traditional molar rod is improved, thalli are not removed in the preparation process, cost is saved, resources are fully utilized, and the molar rod has better nutrition and palatability; the effect of an adhesive can be achieved;and more importantly, the crushed thallus can form relatively hard particles after being dried, so that residues, tartar or dental plaque on the teeth of the pet can be effectively removed.

The invention discloses a multi-channel fluorescence immunoassay quantitative analyzer. The multi-channel fluorescence immunoassay quantitative analyzer comprises a body, wherein a transmission assembly is arranged at one end of the body; a user interface, a mini-type printer and an infrared barcode scanner are arranged at the other end of the body; the infrared barcode scanner is located under the mini-type printer; the transmission assembly is provided with a main board, a light path assembly and an item automatic identification assembly in sequence from top to bottom; the bottom of the transmission assembly is connected with a bracket; the top end of the light path assembly is connected with a laser diode and a fluorescence reader respectively; a sample feeding disc is arranged above the bracket. The multi-channel fluorescence immunoassay quantitative analyzer adopts a multi-channel detection technology to realize simultaneous detection of a plurality of items of a single sample so that the detection efficiency is improved; a laser light source adopts the laser diode and has good singleness and high light source intensity, so that the high sensitivity and consistency are guaranteed; an automatic identification technology is used for realizing a measurement process and does not need manual interference so that the intelligent degree is high.

The invention discloses an aluminum three-dimensional electroformed name plate which comprises an aluminum substrate, wherein the surface of the aluminum substrate is provided with a surface processing layer needing to generate an electroformed effect pattern through laser etching, and the surface processing layer is provided with an electroplating layer with the electroformed effect pattern. A processing method of the aluminum three-dimensional electroformed name plate comprises the following steps: (1) preparing an original substrate aluminum material; (2) making the surface processing layer; and (3) performing electroforming treatment: performing electroforming treatment on the surface of the semi-finished product of an aluminum piece after laser etching to form an electroformed layer on the surface of the aluminum piece on the surface processing layer and to obtain the aluminum three-dimensional electroformed name plate. According to the invention, the nickel single substrate of the original electroformed name plate is replaced by the existing aluminum material, the shortcomings in thickness, color, formation and the like of the electroformed name plate product can be overcome at the same time, and the expected effect in weight and quality is achieved; and moreover, the electroforming effect and the aluminum material surface effect are perfectly combined, the special metal luster effect of the required part on the aluminum material surface can be achieved, and the single color effect of the surface of the original electroformed name plate product can be improved.

The invention relates to a load frequency control device suitable for an information uncertainty system, which comprises an information acquisition module, an optimization decision module and an adaptive control module. The information acquisition module is used for accessing a state signal of a communication system at the moment N into the device through sensor sampling measurement, and integrating and uploading a sampling signal to an agent node; the optimization decision module receives the information output by the information acquisition module, performs synchronous sampling conversion according to the occurrence probability measure of the random event of the communication system, analyzes the information uncertainty degree of the system through the established model of the information entropy H, and inputs the analysis result into the adaptive control module; the adaptive control module inputs a data analysis result into the adaptive control module designed based on a fuzzy rule,aiming at the probability measure representation of each quantity influencing the uncertainty of the system information, a mathematical model of information entropy is established by integrating eachquantity of time lag, packet loss and error codes of an information system, the modeling of the uncertainty of the system information is completed. A system load frequency model is established by quantizing information uncertainty, and the frequency control considering information uncertainty is realized.

The invention discloses a deep network model compression training method based on a generative adversarial neural network. The method comprises the steps: randomly selecting a picture from a trained data set to serve as input of an original network and an initial compressed network; taking the feature extractor of the initial compressed network as a G network; calculating the JS divergence of thefeature indexing of the feature map extracted by the feature extractor of the original network and the initial compressed network as a structural loss function; constructing a comprehensive loss function based on the structural loss function and a self-loss function of the initial compressed network; respectively inputting the feature maps extracted by the original network feature extractor and the initial compressed network feature extractor into a D network, updating the D network or the compressed network according to the judgment result of the D network, and finally enabling the feature map output by the G network to be infinitely close to the feature map of the original network, wherein the compressed network is updated based on the comprehensive loss function, so that the predictionprecision and robustness of the model are improved.

The invention discloses a method for measuring performance parameters of micro-nano particles. The method comprises the following steps: constructing a system for measuring performance parameters of micro-nano particles, wherein the system comprises a detection ware, a constant temperature control regulator, an ultrasonic module, a soundproofing module, a signal analysis and process module; the specific value of the backscatter intensity of free micro-nano particles in solid-liquid continuous phase medium for ultrasonic waves to the incident intensity of the free micro-nano particles in solid-liquid continuous phase medium for ultrasonic waves, and other parameters like the sound pressure, the particle concentration, the particle size, the medium viscosity and the medium density are utilized for calculating to obtain the characteristic mechanical parameters. According to the method for measuring performance parameters of micro-nano particles, the elastic coefficient and the surface tension of micro-nano particles can be precisely measured under the same measuring system and the same measuring environment, so that accurate experimental data is provided for study on the relation between the elastic coefficient and the surface tension, the properties of materials can be more deeply mastered, the service life of the materials is prolonged, and the quality of the materials is improved.