52 results about "Artificial immune system" patented technology

This invention relates to mobile robot software fault dialogue system based on human immune system, which comprises normal module form module, software fault test module, known software fault dialogue module, unknown software dialogue module, software remove module and system restore module, wherein, the normal mode form uses mobile robot software system to establish database; the software fault test module is to test whole software fault; normal mode is determined by all abnormal time and space property.

The invention discloses a fault diagnosis method based on an artificial immune system in a wireless sensor network. The fault diagnosis is realized by collecting a characteristic data schema of the wireless sensor network and applying the autologous / non-autologous principle of the artificial immune identification. The whole artificial immune system comprises four parts of an immune object, a database, immune detection and immune computing. The immune object consists of characteristic schema data. The data base is used for storing schema data in normal state and known fault state. The immune detection part completes the fault diagnosis and the immune computing part is used for realizing the cloning and the mutation of antibodies, optimizing the distributing space of the antibodies and distinguishing fault types. The method has the advantages of rapid abnormal recognition, good adaptability, dynamic balance and strong information processing capability and can effectively solve difficult diagnosis problems of numerous fault modes, coexistence of numerous fault modes, fault unpredictability, and the like in the wireless sensor network, thus improving the rapidness and the accuracy of the diagnosis.

A method and system for control of a first aircraft relative to a second aircraft. A desired location and desired orientation are estimated for the first aircraft, relative to the second aircraft, at a subsequent time, t=t2, subsequent to the present time, t=t1, where the second aircraft continues its present velocity during a subsequent time interval, t1≦t≦t2, or takes evasive action. Action command sequences are examined, and an optimal sequence is chosen to bring the first aircraft to the desired location and desired orientation relative to the second aircraft at time t=t2. The method applies to control of combat aircraft and / or of aircraft in a congested airspace.

The invention provides a method and a system for diagnosing mixed failure based on a PCA and an artificial immune system, and the method and the system can be applied in industrial processes as chemical industry, oil refining, biopharmaceutics, and the like. The PCA algorithm is used for detecting failure, the artificial immune system is used for diagnose failure kinds of self and non-self judgments, and self-adaptation and self-study capabilities of the artificial immune system are used, so that the updating of a failure diagnosis system during an online operation process is realized. Antigens and the antibodies of the artificial immune system are represented as a matrix composed of data samples of time series, wherein data to be detected is generated as antigens, all types of historicaldata are generated as different antibodies, the kind of working condition is judged by computing the difference between the antigen and the antibody, so as to realize failure detection and diagnosis.A clone and variation computation is also presented, so as to produce a large amount of different antibodies from the known working condition data during the failure diagnosis process, and the antibodies are automatically updated during the diagnosis, so that the requirements of actual industrial process on adaptability are met.

The invention discloses an intelligent detection method of internet-of-vehicle vehicle abnormal behaviors. The method comprises the following phases: a phase of information collection and consistencycheck: road-side units collect basic information broadcasted by vehicles nearby, and finish consistency check work of vehicle information; and a phase of vehicle abnormal behavior detection and tracking based on an artificial immune system: each road-side unit carries out classification on the vehicle behaviors through the artificial immune system, and carries out alarm and follow-up tracking. Themethod can realize automatic monitoring of the vehicle behaviors in a large-range distributed internet of vehicles, analyze abnormal behaviors of a plurality of vehicles and finish decision making and processing through a control center; and compared with an existing mode of carrying out detection through manual analysis of transmitted data, the method has higher detection efficiency, wider monitoring range and faster response, and reduces labor cost due to manual operation. The invention also discloses a corresponding intelligent detection system.

The invention provides a virus checking method based on an immune algorithm in a mixed peer-to-peer network, belonging to the technical field of network security. In the method, the immune algorithm in an artificial immune system is applied to the mixed peer-to-peer network to check viruses, a newly generated memory checker is shared by utilizing the characteristic of peer-to-peer and direct communication between peer-to-peer network nodes, and a suspected virus base is established at a server end to reduce the omission and false rates of viruses in the network. The method combines the superiorities of the peer-to-peer network technology and the artificial immune technology, sufficiently utilizes the advantages of the two technologies and improves the checking efficiency of the network viruses.

A system, apparatus, and method are directed to evolving detectors in an Artificial Immune System for use in detecting unauthorized computing activities. In one embodiment, a population of detectors is generated with a matching value and expectation value of zero. The detectors are then compared to logged fragments of system calls within a computing device to modify the matching value. When the matching value for a given detector is equal to or greater than an expectation value, the detector's expectation value may be set to the matching value. The detectors may then evolve and / or generate other detectors using mutation, and / or recombination, or the like. Detectors continue to generate and / or to evolve until a detector's matching value reaches a determined value, in which case, the detector may be evaluated to determine if an unauthorized activity is detected. If an unauthorized activity is detected, a detection response may be performed.

The invention discloses an airplane engine air compressor stall detection method. The method comprises steps: a sensor is firstly used for collecting pressure signals when the air compressor is in a normal working condition or in a stall condition, and pretreatment is carried out; a negative selection principle in an artificial immune system is then used for building a neural network detector, and the fault detection ability of the detector is improved through training; and finally, stall detection is carried out on the acquired airplane engine air compressor pressure fluctuation signals with a fault label. The negative selection principle in the artificial immune system is used for building the neural network detector, abnormal mode information of the air compressor is stored in the distributed detector through training, fault is found out according to activation of the detector, stall signals can be detected instantly when stall happens, and the detection speed is improved; existing historical data are fully used through training, and the detection rate is improved; and stall of the airplane engine air compressor can be accurately and effectively detected.

The present invention relates to methods of constructing an integrated artificial immune system that comprises appropriate in vitro cellular and tissue constructs or their equivalents to mimic the normal tissues that interact with vaccines in mammals. The artificial immune system can be used to test the efficacy of vaccine candidates in vitro and thus, is useful to accelerate vaccine development and testing drug and chemical interactions with the immune system.

The present invention relates to methods of constructing an integrated artificial immune system that comprises appropriate in vitro cellular and tissue constructs or their equivalents to mimic the tissues of the immune system in mammals. The artificial immune system can be used to test the efficacy of vaccine candidates and other materials in vitro and thus, is useful to accelerate vaccine development and testing drug and chemical interactions with the immune system, coupled with disease models to provide a more complete representation of an immune response.

The invention relates to a network security situation awareness method based on artificial immune and grey correlation degree analysis. The method includes the following steps: selecting features thataffect network security situation assessment from data of a power physical system and a power information system, and performing data preprocessing and feature extraction; calculating the data obtained through feature extraction by using an artificial immune model to acquire a network security posture value; establishing a network security situation prediction model that is based on grey correlation degree analysis and integrates grey prediction and DT decision tree algorithms; and taking the obtained network security posture value as the model input of the network security situation prediction model to obtain a network situation prediction value of the next time phase. According to the network security situation awareness method based on artificial immune and grey correlation degree analysis provided by the invention, the particularity of the power system and the randomness and uncertainty of the network security situations are fully considered, the limitation of a single algorithm can be avoided, and the accuracy of prediction can be greatly improved.

The present invention relates to the technical field of IOT and particularly relates to a wireless sensor network routing optimization method based on immune clonal selection. The method comprises a step of establishing an energy consumption model of multi-hop communication based on a first order RF model, a step of taking the communication routes of a source node and all multicast nodes as multicast trees, wherein a multicast tree with a smallest communication value is an optimal path in the condition of satisfying a constraint, a step of taking each multicast tree as an antibody in an immune system and taking one route from the source node in the multicast tree to the multicast nodes as a gene, a step of determining the optimal number of communication nodes, and a step of establishing the accessible routing alternative path set between the multicast source node and all multicast nodes. According to the wireless sensor network routing optimization method, a route optimization problem is established to solve the corresponding relation among an artificial immune response five-element structure according to the intrinsic link between the route optimization and an artificial immune system, the optimization speed is improved, and the recovery time of a wireless sensor network is reduced significantly.

The disclosed artificial immunity system based on normal model comprises: an intrinsic immunity calculation layer to build self-database by normal model only determined by time-space attribution of all normal assembly, an adaptive immunity calculation layer to recognize and store unknown variant by NN or example-learning mechanism and eliminate variant, and a parallel immunity calculation layer to balance load for every computer.

Artificial neural systems are very powerful tools for pattern matching, classification, feature extraction and signal analysis. Systems to date lack an essential feature of their biological counterparts, a measure of confidence that the network response has actually been trained and is not an artifact. In the proposed artificial neural system one output is a produced (trained) measure of confidence in the remaining outputs i.e. a measure of certainty that the inputs match the training data.

The invention provides a method for optimizing the spatial layout of land resources based on a multi-target artificial immunization system. The method comprises the following steps: storing the evaluation result of the land suitability of a planned region in a base year by a grid file; encoding namely mapping the spatial layout scheme of the land resources into the antibodies of the artificial immunization system through integer coding, and representing one actual plot of land by one grid unit, which corresponds to one gene bit in each artificial antibody, in the planned region; setting a target function, setting constraint conditions, initiating an antibody population, calculating the target value vector quantities of the antibodies, then iterating, carrying out cloning, mutation, calculation on the target value vector quantities of the antibodies, population updating and judgment on terminal conditions until iteration is over, and decoding to obtain a Pareto optimizing scheme.

The invention provides an artificial immune system-based virtual network mapping method. The method comprises the following steps of S1, setting a coding strategy,, and presetting the size of an antibody population by taking the coding schemes as antibodies x, wherein coding schemes obtained by the coding strategy correspond to node mapping schemes one by one; S2, respectively initializing a physical node and a physical link; S3, calculating the comprehensive fitness of the antibodies according to the formula that f(x) is equal to alpha*C(x)n+(1-alpha)*E(x)n, wherein the C(x)n is energy consumption corresponding to the antibodies x, and E(x)n is resource consumption corresponding to the antibodies x; S4, performing an iteration process of copying, intersecting and variation on the antibodies x to obtain the optimal solution, wherein the times for performing the iteration process is preset iteration times. The invention also provides an artificial immune system-based virtual network mapping system. The system comprises a coding module, an initializing module, a calculating module and an iteration module. By the method and the system, the utilization rate of a physical network resource can be improved, the network resource consumption is optimized, and the physical network energy consumption is reduced.

The invention discloses a reinforced learning algorithm based on an immunologic tolerance mechanism. The reinforced learning algorithm based on the immunologic tolerance mechanism comprises the steps of firstly designing the vector quantity of a primary function and the vector quantity of a weight value of a TD (lambda), then encoding the vector quantity of the weight value according to the number of floating points, when the error between the environment of a system and the real environment is larger than a set threshold value, regarding the environment of the system as a primary response in an artificial immune system, when meeting the environment for the first time, optimizing the environment by the immunologic tolerance mechanism, memorizing environmental knowledge by a memory, namely an immune body, then selecting the optimal strategy according to parameters of a current system, updating the parameters of the system according to a feedback reward value (r), continuously carrying out an iteration for the next time, when the error between the environment of the system and the real environment is smaller than the threshold value, regarding the environment of the system as similar environment, regarding the similar environment as a secondary response in the artificial immune system, and directly selecting the optimal strategy according to parameters of the system through the fact that the system judges motion selection.

The invention relates to a relevant control technology for tube bursting accidents of a water supply tube network and provides a tube bursting positioning method based on an artificial immunity system. The artificial immunity system is constructed so as to recognize and position a possible tube bursting position, so that the possible tube bursting occurrence area is greatly reduced, and finally the time for accurately positioning the tube bursting position is reduced. The tube bursting positioning method comprises the following steps: firstly, acquiring adequate tube bursting operation data by virtue of simulating the tube bursting of the water supply tube network; then according to the correlation theory of the artificial immunity system, training the operation data of burst tubes and constructing one artificial immunity system; finally recognizing the operation data of new tube bursting accidents according to the artificial immunity system and finally determining possible tube bursting occurrence positions according to a nearest neighbor classification method. Compared with a same-type tube bursting detection technology, the tube bursting positioning method provided by the invention can be used for achieving higher computation efficiency and obtaining more accurate possible tube bursting region.

The present invention incorporates germinal centers (GCs) into three-dimensional (3D) engineered tissue constructs (ETCs). In an embodiment, we have incorporated the GC in the design of an artificial immune system (AIS) to examine immune responses to vaccines and other compounds. Development of an in vitro GC adds functionality to an AIS, in that it enables generation of an in vitro human humoral response by human B lymphocytes that is accurate and reproducible, without using human subjects. The invention also permits evaluation of, for example, vaccines, allergens, and immunogens, and activation of human B cells specific for a given antigen, which can then be used to generate human antibodies. In an embodiment of the present invention the function of the in vitro GC is enhanced by placing FDCs and other immune cells in a 3D ETC; FDCs appear more effective over a longer time (antibody production is sustained for up to about 14 days.

A system, apparatus, and method are directed to evolving detectors in an Artificial Immune System for use in detecting unauthorized computing activities. In one embodiment, a population of detectors is generated with a matching value and expectation value of zero. The detectors are then compared to logged fragments of system calls within a computing device to modify the matching value. When the matching value for a given detector is equal to or greater than an expectation value, the detector's expectation value may be set to the matching value. The detectors may then evolve and / or generate other detectors using mutation, and / or recombination, or the like. Detectors continue to generate and / or to evolve until a detector's matching value reaches a determined value, in which case, the detector may be evaluated to determine if an unauthorized activity is detected. If an unauthorized activity is detected, a detection response may be performed.

The invention discloses a production method and purpose of photocatalysis nanometer active water. The production method comprises preparing photo-catalytic material on a solid media and immersing the photo-catalytic material in water, irradiating with ultraviolet light to lead the water to produce free radical and outputting the photocatalysis nanometer active water. The invention is used for plant protection, tap water for living, dealing recycle water, treating sewage and the like, is also capable of being utilized in medical treatment and health care. The free radical in the photocatalysis nanometer active water is capable of entering human body and animal body to directly kill bacterium, microorganism and viruses, establishing an artificial immune system to prevent and treat various diseases. The photocatalysis nanometer active water does not include any chemical composition, is nontoxic, has no harm to human body and animal body, and can be used for a long term. The invention can prevent and treat diseases by means of aerosol, injection, oral administration and target-oriented drug delivery, can cure various diseases like tracheitis, hepatitis B, HIV, lupus erythematosus, influenza and bird flu and the like which are caused by bacteria and viruses. Simultaneously, the effects of cleaning focus and preventing cancer are perfect. The production method of the photocatalysis nanometer active water is simple, low in cost, and easy to spread and use.

The invention relates to special yeast hydrolysate for aquatic products. The special yeast hydrolysate for aquatic products is prepared from fresh yeast milk by pretreatment, enzymatic hydrolysis, enzyme deactivation, drying and packaging. The special yeast hydrolysate for aquatic products is capable of high-efficiency wall-breaking and selective enzymatic hydrolysis for helping an organism to release functional nutrients, and improves the economic benefit of aquiculture much more efficiently. The content of crude protein in the special yeast hydrolysate for aquatic products is about 45%, and the content of small peptides is about 40% after selective enzymatic hydrolysis and much higher than 30% on the market. The special yeast for aquatic products has the effects of promoting ingestion, promoting absorption of amino acid, promoting absorption of mineral elements, having high digestibility, promoting development of the animal immune systems, improving the immunity of the animal organism, stimulating secretion of digestive enzyme, improving the activity of digestive enzyme, promoting development of intestinal mucosae, improving the anti-stress ability and disease resistance of animals, and the like.

The invention discloses a measure method of photocatalysis nanometer active water and the application thereof. Establishing and improving the concept of free radicals. In order to provide scientific basis for the photocatalysis nanometer active water which can secure or prevent AIDS, human avian influenza, SARS, hepatitis b, leukemia, lupus erythematosus, cancer, other major diseases and other various kinds of diseases. Measuring free radical active ability in photocatalysis nanometer activity with chemical analysis and physical colorimetry method, destructivity of protein oxygenolysis to body protein of bacterial and virus, and providing scientific basis of organic nutrients on which bacterial and virus are survived and multiplied; measuring free radicals in human body fluid and animal body fluid to establish free radical standard of human body and animal body and artificial immunity system, for preventing epidemic situation, and providing scientific basis for medical healthcare. Using photocatalysis nanometer active water in production of industry and agriculture, medical healthcare, food preservation, plant protection, water treatment, breeding and seedling, and other fields for providing scientific basis. The invention is easy to operate, the cost is low, and the invention is scientific and reliable.

The present invention relates to methods of constructing an integrated artificial immune system that comprises appropriate in vitro cellular and tissue constructs or their equivalents to mimic the tissues of the immune system in mammals. The artificial immune system can be used to test the efficacy of vaccine candidates and other materials in vitro and thus, is useful to accelerate vaccine development and testing drug and chemical interactions with the immune system, coupled with disease models to provide a more complete representation of an immune response.

The invention aims to solve the problem of cleaning nephritic lesion to clean the renal glomerulus effectively and thoroughly, and restore the functions of the renal glomerulus, clear renal calculus, and cure uremic patients and 290, 000 sufferers from the melamine tainted milk incident. The technical proposal of the invention comprises: cleaning the nephritic lesion by supplying photo-catalytic nanometer active water to the sufferers by drinking, injecting and targeting; and using the oxygenolysis capacity of free radicals in the photo-catalytic nanometer active water to clean the glomerular filtration membrane and the renal tubule effectively and thoroughly, decompose immune complexes or organic complexes deposited thereon, and diminish inflammation simultaneously so as to restore the functions of the renal glomerulus, establish an artificial immune system, and cure the uremia, nephritis, and the like. Simultaneously, the invention is a pioneering invention, the basic theory for the naissance of free radical physics, free radical chemistry and free radical medicine, and a mark for the naissance of new disciplines, and opens up a new era for the development of the human society. The photo-catalytic nanometer active water can be produced by solar energy, has low cost and is easy to widely popularize and apply.

The invention discloses an immune network theory based production scheduling optimization algorithm. According to an information processing mechanism in an immune system, an immune network theory in an artificial immune system is introduced into a production scheduling system to design an unique network based immune scheduling algorithm; a unique network for optimal scheduling rules is establishedaccording to the unique network theory, an effective antibody structure and an antigenic structure are defined, and an optimal scheduling rule and a current workshop state are defined as antibodies while a workshop state is defined as an antigen; a process of solving scheduling problems through the immune scheduling algorithm is explained through antibody and antigen matching, calculation of affinity of the antibodies, antibody concentration calculation and antibody selection. The immune network theory based production scheduling optimization algorithm is far superior to other single heuristic rule scheduling algorithms and shows efficiency and effectiveness of the immune scheduling algorithm in processing of multi-target dynamic scheduling problems.

The invention aims to solve the problem that pay expenses of time and space are high, the problem that the accuracy is difficult to ensure and the like in the conventional detector set optimization algorithm in an artificial immune system, provides a high-efficiency detector set optimization method and constructs a novel artificial immune system.

The invention aims to solve the problem of cleaning renal focuses and effectively cleans glomeruli of kidney thoroughly to enable the glomeruli of kidney to restore function and remove kidney stone, thereby curing patients with uraemia and 290000 patients suffered from melamine poisonous milk affair. The invention has the technical scheme that photocatalysis nano active water is drunk by a patientor is injected or targeted to the patient to clean the renal focuses, and the oxygenolysis ability of free radicals in the photocatalysis nano active water is utilized to effectively clean glomerularfiltration membrane and renal tubules thoroughly so as to decompose immune compounds or organic compounds depositing on the glomerular filtration membrane and the renal tubules, and at the same time,the water diminishes inflammation to enable the glomeruli of kidney to restore function, and moreover, an artificial immune system is established, thereby curing uraemia, nephritis and the like. Meanwhile, the invention is a pioneering invention, the foundational theory of the naissance of free-radical physics, free-radical chemistry and free-radical medical science, the mark of the naissance ofa new subject and the epoch of initiating progress of the society and the mankind. The photocatalysis nano active water can be produced by solar energy, thereby having low cost and being easy to widely popularize and apply.