754 results about "Algorithm design" patented technology

Embodiments of the invention provide amperometric analyte sensors having multiple related structural elements (e.g. sensor arrays comprising a working, counter and reference electrode) and algorithms designed for use with such sensors. While embodiments of the innovation can be used in a variety of contexts, typical embodiments of the invention include glucose sensors used in the management of diabetes.

System and method for reacting to an impact involving a motor vehicle in which an anticipatory sensor system assesses the probable severity of the impact based on data obtained prior to the impact and initiates deployment of an external safety device via an actuator in the event an impact above a threshold probable severity is assessed. The anticipatory sensor system includes receivers for receiving waves or energy and a pattern recognition system for analyzing the received waves or energy, or data representative thereof, to assess the probable severity of the impact. The pattern recognition system ascertains the identity of an object from which the waves or energy have been emitted, reflected or generated. The pattern recognition system includes a processor embodying a pattern recognition algorithm designed to provide an output of one of a number of pre-determined identities of the object.

A microprocessor executable method and system for determining the semantic relatedness and meaning between at least two natural language sources is described in a prescribed context. Portions of natural languages are vectorized and mathematically processed to express relatedness as a calculated metric. The metric is associable to the natural language sources to graphically present the level of relatedness between at least two natural language sources. The metric may be re-determined with algorithms designed to compare the natural language sources with a knowledge data bank so the calculated metric can be ascertained with a higher level of certainty.

A method and apparatus are disclosed for performing modular multiplication. Modular multiplication in accordance with the present invention includes precalculating a 2's complement of a given modulus and multiples of the 2's complement and calculating a total magnitude of end-around carries during the modular multiplication. The calculated multiples are selected depending on the total magnitude of the end-around carries, and the selected multiples are added. The disclosure includes array structures in accordance with the present invention. The invention includes an algorithm designed for Rivest-Shamir-Adelman (RSA) cryptography and based on the familiar iterative Homer's rule, but uses precalculated complements of the modulus. The problem of deciding which multiples of the modulus to subtract in intermediate iteration stages has been simplified using simple look-up of precalculated complement numbers, thus allowing a finer-grain pipeline. Regularity and local connections make the algorithm suitable for high-performance array implementation in FPGA's (field programmable gate arrays) or deep submicron VLSI's.

The fast dynamic measurement of bandwidth in a TCP network environment utilizes a single pair of packets to calculate bandwidth between two entities on a network (such as the Internet). This calculation is based upon the packet-pair technique. This bandwidth measurement is extremely quick. On its journey across a network, communication devices may delay the packet pairs. In particular, TCP networks have two algorithms designed to delay some packets with the goal of increasing the overall throughput of the network. However, these algorithms effectively delay a packet pair designed to measure bandwidth. Therefore, they distort the measurement. These algorithms are Nagle and Slow Start. The fast dynamic measurement of bandwidth implements countermeasures to overcome the delays imposed by these algorithms. Such countermeasures include disabling the application of the Nagle Algorithm; minimizing the buffering of packets by sending a “push” packet right after the packet pair; and avoiding the Slow Start Algorithm by priming it with a dummy packet.

The invention provides a software performance optimization method based on a CPU multi-core platform. The method comprises software characteristic analysis, parallel optimization scheme formulation and parallel optimization scheme implementation and iteration tuning. Particularly, the method comprises application software characteristic analysis, serial algorithm analysis, CPU multi-in / thread parallel algorithm design, multi-buffer design, design of communication modes among threads, memory access optimization, cache optimization, processor vectorization optimization, mathematical function library optimization and the like. The method is widely applicable to application occasions with multi-thread parallel processing requirements, software developers are guided to perform multi-thread parallel optimization improvement on prior software rapidly and efficiently with short developing periods and low developing costs, the utilization of system resources by software is optimized, data reading and computing and mutual masking of write-back data are achieved, the software running time is shortened furthest, the hardware resource utilization rate is improved apparently, and the software computing efficiency and the software whole performance are enhanced.

The invention discloses a fire detecting system applied to an unmanned helicopter and a fire detecting method thereof. The system comprises infrared image acquiring equipment and a signal processing flow network, wherein the signal processing flow network comprises an input layer, a middle layer and an output layer; the temperature gradient operator calculation is respectively carried out in the vertical direction, the horizontal direction, the direction of plus 45 degrees and the direction of minus 45 degrees in the center of a suspected area, and a calculation result is a basis of judging fire flame; a differential algorithm adopting interframe time difference as the time change rate is carried out by a method for subtracting absolute values of adjacent interframe pixel gray values, anda calculation result is used as a basis of judging a fire high-risk point. The invention rapidly recognizes the fire flame and the fire high-risk point by a platform with low cost and high efficiencyof the unmanned helicopter through an infrared camera, early warns a fire accurately in time and has the characteristics of manoeuvrability, high efficiency and no dead angle. A fire flame and fire high-risk point detecting algorithm designed by aiming at the detection of an infrared image is efficient, simple, practical and effective.

An automated method and system of diabetes control. The method includes establishing a blood glucose target for an insulin user, measuring an existing blood glucose level for the insulin user, and inputting the existing blood glucose level into a computer processor formed to execute an algorithm designed to calculate a corrective amount of insulin to be administered intravenously in an integrated basal-bolus manner to the insulin user if the existing blood glucose level exceeds the blood glucose target. The algorithm is based on a plurality of factors that contribute to a non-linear glucose response. The method further includes automatically delivering the corrective amount of insulin to the insulin user, and further repeating the measuring, inputting, and delivering steps one or more times to maintain the insulin user within the blood glucose target range.

The present invention is related to systems and methods for translating language text on a mobile camera device offline without access to the Internet. More specifically, the present invention relates to systems and methods for displaying text of a first language and a translation of the first language text into a second language text which is displayed in real time in augmented reality on the mobile device. The processing can use a single line or a multiline algorithm designed with a plurality of processing innovations to insure accurate real-time translations without motion jitter. The invention may be used to help travelers in a foreign country with difficulties in reading and understanding text written in the local language of that country. The present invention may be utilized with wearable computers or glasses, producing seamless augmented reality foreign language translations. Some embodiments are particularly useful in translations from Asian languages to English. Some embodiments are especially optimized to translate multiple lines of foreign language text.

Design optimization methods can be used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually “test” millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cost and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency or effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can be applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.

The fast dynamic measurement of bandwidth in a TCP network environment utilizes a single pair of packets to calculate bandwidth between two entities on a network (such as the Internet). This calculation is based upon the packet-pair technique. This bandwidth measurement is extremely quick. On its journey across a network, communication devices may delay the packet pairs. In particular, TCP networks have two algorithms designed to delay some packets with the goal of increasing the overall throughput of the network. However, these algorithms effectively delay a packet pair designed to measure bandwidth. Therefore, they distort the measurement. These algorithms are Nagle and Slow Start. The fast dynamic measurement of bandwidth implements countermeasures to overcome the delays imposed by these algorithms. Such countermeasures include disabling the application of the Nagle Algorithm; minimizing the buffering of packets by sending a “push” packet right after the packet pair; and avoiding the Slow Start Algorithm by priming it with a dummy packet.

The invention provides a high potential user buying intention prediction method based on big data user behavior analysis. The high potential user buying intention prediction method comprises the following steps: 101 data preprocessing: the historical behavior data set of the e-commerce user is preprocessed; 102 sample defining and marking: samples are constructed with the interacted user product pairs to act as the keywords according to the historical consumption behavior of the user; 103 division of a training set and a test set: the historical data are divided into the training set and the test set by using a time window division method; 104 feature construction: feature engineering construction of the historical behavior data of the user is performed; and 105 algorithm design and implementation: feature selection of the feature group and unbalanced data processing of the data set are performed and then the final result of two-layer model iterative learning algorithm prediction is put forward. The prediction model is established on the basis of the historical behavior data of the e-commerce user of the time span of 45 days so that whether the user places an order of the commodityin the candidate commodity set P in the following 5 days can be predicted.

The present invention is related to systems and methods for translating language text on a mobile camera device offline without access to the Internet. More specifically, the present invention relates to systems and methods for displaying text of a first language and a translation of the first language text into a second language text which is displayed in real time in augmented reality on the mobile device. The processing can use a single line or a multiline algorithm designed with a plurality of processing innovations to insure accurate real-time translations without motion jitter. The invention may be used to help travelers in a foreign country with difficulties in reading and understanding text written in the local language of that country. The present invention may be utilized with wearable computers or glasses, producing seamless augmented reality foreign language translations. Some embodiments are particularly useful in translations from Asian languages to English.

The invention discloses an unmanned aerial vehicle (UAV)-unmanned ground vehicle (UGV) combined formation cooperative control method, comprising the following steps: step 1, establishing nonlinear dynamical models of unmanned vehicles in UAV-UGV combined formation; step 2, processing the nonlinear dynamical models of a UAV and a UGV via equivalent transformation, and taking acceleration as a common control target quantity, obtaining a unified control model taking acceleration as a control input in the combined formation; step 3, establishing a ground-air combined formation structure based on a virtual pilot to obtain a stable control signal for the UAV-UGV combined formation and obtain an error model of the combined formation, wherein the control signal is acceleration obtained in step 2 as a common control target quantity; and step 4, designing a UAV-UGV combined formation controller by adopting a RBF (Radial Basis Function) network algorithm according to the control model, the error model and the acceleration serving as a control signal and a control target quantity at the same time, so that the combined formation is stable and reliable.

The invention discloses a distributed network security event associated analysis method based on a knowledge graph. The method specifically comprises the following steps of 1, building a network security knowledge graph comprising five dimensions such as the basic dimension, the loophole dimension, the threat dimension, the alarm event dimension and the attack rule dimension; 2, designing a security event implementation associated analysis algorithm based on the knowledge graph built in the step 1; and 3, building a real-time big data analysis platform, applying the associated analysis algorithm designed in the step 2 to the built big data platform, and thus achieving a distributed associated analysis system. According to the method provided by the invention, related technologies of current big data process are fully used for dealing with the large data volume, the associated analysis algorithm is parallelized, and the design of the distributed associated analysis algorithm based on the knowledge graph is achieved.

The invention provides a grid division sailing planning method based on an environment, and the method is used for unmanned aircraft sailing planning. According to the method, the flying coverage area is divided into two-dimensional grids and / or three-dimensional grids, topographical obstacles and various threats are modeled into failure nodes in grids, the planning method comprises the steps of initialization, environment modeling and node labeling, recognition of minimum communication failure blocks and construction of boundaries thereof, and computation of shortest route. The complexity of the sailing planning method and the number of grid nodes in the design are in linear relationship, and the complexity is low.

The disclosed multi-classifier combination face recognition method based on feature sorting comprises: extracting face area from initial image for pre-process and feature extraction; feature sorting to obtain different face feature groups; designing component classifier for every group to recognize face and combine results for optimal effect. This invention overcomes dimension disaster, reduces algorithm complexity, and improves recognition performance.

The invention discloses an operation workshop scheduling modeling method based on a genetic algorithm. The method comprises the steps of JSP genetic algorithm design of reverse cross of a stored gene segment, eM-Plant simulation modeling, data collection, improvement of mutation operator and obtaining of an optimized scheme; the JSP genetic algorithm design of the reverse cross of the stored gene segment comprises the steps of randomly generating an initial group according to a sequence code, calculating the fitness of the initial group, judging whether the cycling times is satisfied, outputting an optimal result and program running time if the cycling times is satisfied, drawing an algorithm performance trace diagram, drawing an optimal scheduling trace diagram, selecting through a roulette wheel if the cycling times cannot be satisfied, reversely crossing the stored gene segment, randomly mutating the gene segment, calculating the fitness of a novel population, re-inserting a filial-generation population to the parental population, and recording the performance of the optimal result trace algorithm. By adopting the method, the running of the production workshop can be optimized and coordinated, the design effect is good, the process is simple, and the production danger and production cost can be reduced.

Design optimization methods can be used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually “test” millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cost and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency or effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can be applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.

The invention discloses a multi-agent-based platform scheduling intelligent sorting model structure. Steel material logistics distribution belongs to heavy-duty transportation in transportation and needs special handling equipment and large-scale transportation vehicles. In a distribution and loading process, the loading efficiency and sequence (platform scheduling) of vehicles are directly related to distribution aging. Platform scheduling is a multi-constraint combination optimization complex system. Reasonable ordering and optimization are essential. According to the invention, a multi-agent technology is used to research real-time vehicle scheduling decisions; a combination optimization complex system using a platform-based scheduling ordering system and multi-agent algorithm design as multiple constraints is constructed; a multi-agent technology provides a new solution for the research of real-time vehicle scheduling decisions to improve the efficiency of freight operations; the optimal solution is acquired; an auxiliary vehicle identification technology is used to carry out whole-process monitoring on distribution vehicles; efficient vehicle scheduling and precise handling are realized; and precise steel material distribution is realized.

The invention discloses a high-temperature creep deformation prediction and creep damage analysis method for a high-chrome steel component. The method comprises the following steps of: establishing a theoretical model, determining material parameters, designing a numerical integration algorithm, carrying out the secondary development of finite element software, carrying out the creep damage analysis of the component and the like. Compared with an existing technical scheme, the method disclosed by the invention is characterized in that a great improvement is carried out, the accurate prediction of the creep behavior and the creep damage of the high-chrome steel component can be realized, and therefore, the method has an important application value in the fields of the security design and the residual life evaluation of high-temperature high-pressure components in a supercritical generator set.

A method of symbol combining and incremental redundancy for link adaptation and code space management was proposed. In order to reduce constraints on the Walsh codes allocation, MCS level change, as well as frame duration change for the initial transmission and re-transmissions, a “rate matching” stage is proposed between the Turbo encoder and block interleaver on the transmitter. In the initial transmission, the Turbo encoded symbols are interleaved with or without any puncturing or repeating (i.e. puncture / repeat factor is set to 1). The coded symbols are also stored in the memory for possible retransmissions. In the re-transmission, the transmitter first determines the number of Walsh codes available for this user and MCS level and frame duration according to the C / I feedback values from MS. The stored coded symbols are then punctured or repeated according to “rate matching factors”. On the receiver side, “rate matching factors” can be derived from the number of code channels, MCS level and frame duration of current re-transmissions and initial transmission. Then, de-puncturing / de-repeating is performed before coded symbol combining. A similar rate matching based IR / symbol combining scheme can be used to design different IR using different rate matching algorithms. It has low implementation complexity and is easily made backward compatible.

The invention discloses an automatic test platform of a high-speed ADC chip and a software framework design method thereof. The design method comprises the steps of step 1, FPGA underlying logic drive design: the FPGA underlying logic part completes construction of the hardware foundation, including realizing underlying logic control, foundation computation and soft core hardware configuration of the hardware module; and synchronous drive algorithm design including the tested high-speed ADC, calibration algorithm design, hardware drive design of the onboard high-precision ADC / DAC and register array and hardware FFT operation; step 2, test parameter acquisition: the FPGA soft core receives an upper computer command to control the test process and transmits the command to the FPGA hardware program to drive an external circuit to acquire data so as to obtain the test parameter value by applying the processing algorithm, wherein the test parameters are mainly divided into static parameters and dynamic parameters; and step 3, upper computer program design. The high-precision level characteristic and the high-speed data characteristic of the chip can be simultaneously measured, and "one-key acquisition" can be realized through programming control.

The invention discloses a wavelet domain Retinex image defogging method, so as to improve the Retinex algorithm defogging effects and improve the algorithm efficiency. The method comprises the following steps: the image is transformed into HSV color space; wavelet transformation is carried out on a brightness component V, and a low-frequency subband in which a fog component is and a high-frequency subband in which noise and edge information are are acquired; the improved single-scale Retinex algorithm is used for processing the low-frequency subband, and a wavelet threshold method is used for processing the high-frequency subband; wavelet inverse transformation is carried out, and a reconstructed brightness component is acquired; a saturation component S is adaptively adjusted according to changes of the brightness component V; and according to each HSV color space component after change, a clear image after defogging is reconstructed. The defogging algorithm designed by the invention can effectively improve degeneracy of a foggy image, definition of the image is improved, and the processing efficiency is enhanced obviously.

Design optimization methods can be used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually “test” millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cost and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency or effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can be applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.

A method for manufacturing synthetic genes and combinatorial DNA and protein libraries, termed here Divide and Conquer-DNA synthesis (D&C-DNA synthesis) method. The method can be used in a systematic and automated way to synthesize any long DNA molecule and, more generally, any combinatorial molecular library having the mathematical property of being a regular set of strings. The D&C-DNA synthesis method is an algorithm design paradigm that works by recursively breaking down a problem into two or more sub-problems of the same type. The division of long DNA sequences is done in silico. The assembly of the sequence is done in vitro. The D&C-DNA synthesis method protocol consists of a tree, in which each node represents an intermediate sequence. The internal nodes are created in elongation reactions from their daughter nodes, and the leaves are synthesized directly. After each elongation only one DNA strand passes to the next level in the tree until receiving the final product. Optionally and preferably, error correction is performed to correct any errors which may have occurred during the synthetic process.

The invention provides a block cipher encryption and decryption method belonging to the field of data encryption and decryption. The algorithm of the invention designs a symmetric encryption structure, especially the S-box design in the invention can configure S transformation required for encryption and S inverse transformation required for decryption without additional circuit resources, thereby being beneficial to the implementation of an encryption / decryption integrated hardware circuit and consuming fewer area resources compared with the AES (advanced encryption standard) encryption / decryption integrated circuit. The complicated S box structure of the algorithm can resist the traditional known attack methods. In case of a small number of encryption rounds (three rounds), a high encryption speed can be provided, and decryption can be carried out at the same speed by using the same encryption and decryption hardware. The algorithm is especially suitable for realizing an ASIC (application specific integrated circuit), and can realize an ASIC chip based on the encryption and decryption special-purpose algorithm. Besides, the invention can be also used for the design of IP cores on FPGA (field programmable gate array). Compared with the AES algorithm, the invention consumes fewer resources on FPGA and has higher speed.

The invention belongs to the field of air traffic management, and discloses a method for dynamically dividing a sector based on airspace traffic characteristics, which aims to confirm a sector division matched with airspace traffic changes according to airspace traffic change control, so as to realize optimal utilization of airspace resources. The method comprises three aspects, namely airspace information extraction, airspace modeling and sector optimized division algorithm. First, databases such as an airspace topological structure are constructed on basis of airspace static structural information and airspace dynamic information; then, a complicated network model is used for describing an airspace structure through regarding key points as nodes and air routes as sides; third, similarity of associated nodes in the complicated network model is calculated according to airspace dynamic information, a complicated weighing network is established, and an airspace convex cell model is established by utilizing the K-Means algorithm based on the complicated weighing network; and finally, the airspace convex cell model is combined with the hybrid coding genetic algorithm to obtain the final sector division result.

The invention discloses an energy-saving routing method of nodes of an energy effective based on a context-aware technology. A CATRP (Context-Aware Technology Routing Protocol) is used as a routing work way of nodes in an internet of things environment, so as to achieve an established energy saving goal. The method disclosed by the invention belongs to the technical field of the internet of things. According to the method disclosed by the invention, the context-aware technology is applied to communicational nodes which work in the internet of things as a core technology for an energy-saving purpose of the invention, and composition modules of the protocol are designed comprehensively from the perspectives of working process, data structure, quantitative algorithm design, and the like. Due to application of the patent, a good foundation for realization of a universal computing service in the whole society in the near future can be laid, right development of the internet of things technology in the future is guided, theoretical basis enrichment and certain contribution for transformation of a wireless sensor network technology at the present stage are made, and the method has important meaning to enhancement of energy saving technology level of the internet of things in the industry, to acceleration of schedule of a national energy-saving routing research subject for nodes of the internet of things, to promotion of domestic demand, and to promotion of development of related industries.

The invention belongs to the field of machine learning, and discloses an urban rail transit passenger flow volume prediction method based on A-LSTM. The method relates to three parts of time feature extraction, spatial feature extraction and prediction algorithm design. Wherein the time characteristics are mainly characterized in that clustering analysis is carried out on the week factors througha hierarchical clustering method, and relationships among the weeks are searched; Wherein the spatial characteristics refer to passenger flow distribution characteristics of different subway stations,and the spatial passenger flow distribution relation is searched by analyzing the different stations; The prediction algorithm is mainly based on an improved LSTM neural network, and an attention mechanism is added, so that the LSTM network pays more attention to input characteristics with greater influence on prediction by a model, and passenger flow data can be predicted more accurately.