63 results about "Constraint factor" patented technology

The invention discloses a particle swarm algorithm-based triangular mesh normalization method. With the method adopted, the quality of triangles in a mesh model can be effectively improved with the geometric characteristics of meshes ensured. According to the method, a particle center position Pc, a constraint factor Xi and an adaptive inertia factor Omega a are introduced to improve a particle swarm algorithm, and therefore, a situation that the algorithm is trapped in local optimum when operating can be avoided effectively, the convergence speed of the algorithm can be increased, and the search range of the algorithm is adjusted in real time; the local fitting surface of vertexes is adopted as the search domain of particle swarms, and therefore, the problem of volume shrinkage of a triangular mesh model after normalization existing in most of algorithms can be solved; and whether a certain vertex is required to be adjusted can be confirmed through judging whether the included angle of the normal directions of the vertex before and after adjustment, and therefore, the detail features of the mesh model after normalization will not lose.

The invention discloses an energy efficiency resource allocation method based on dynamic interference updating. According to the energy efficiency resource allocation method disclosed by the invention, for an MIMO uplink adopting MRC reception, joint optimization of base station antenna number and transmitting power is performed, the highest transmitting power limitation of the client is further considered on the basis of satisfying the lowest user rate to serve as a constraint factor so as to establish an energy efficiency optimization model, being different from the method of replacing an interference term with a numerical value in the existing study, the transmitting power of the client is reallocated in each turn of iterative process in the energy efficiency resource allocation method disclosed by the invention, resulting in a change of the value of the interference term, therefore the interference term is re-calculated in every iterative process, and the interference term constant scheme in the existing study is replaced by a manner of updating the interference term in real time. By adoption of the energy efficiency resource allocation method disclosed by the invention, higher energy efficiency can be obtained by lower resource consumption, and meanwhile the system throughput is better.

The invention mainly provides a station stopping ability-based public transit network layout method. The method mainly comprises a step of constructing a public transit network optimization model and a solving algorithm thereof, wherein the public transit network model aims at maximum nonstop passenger flow density, minimum travel time and minimum public transit enterprise operation cost, and considers the realistic constraint factors such as a topological structure and nonlinear line coefficients of a public transit network; the solving algorithm is a cooperative ant colony algorithm; according to the solving algorithm, a construction rule, pheromone, heuristic information and a selection strategy of solutions are defined. In allusion to the imbalance of the space-time distribution during the trips of residents, the station stopping ability-based public transit network layout method can be used for carrying out necessary optimization and adjustment on the public transit network to satisfy the trip demands on the basis of satisfying the factors such as line length, nonlinear coefficients and coverage rate through combining real road topological structures, so that the trips of the residents are facilitated and the public transit operation cost is saved.

The invention provides a DSPP (Discriminant Sparsity Preserving Projections) method for unconstrained face recognition. The method comprises the following steps of: (1) when calculating a sample reconstructing relation matrix W, increasing weight coefficients of similar non-neighboring samples by using category labels and intra-class compactness constraints; (2) when calculating a low-dimensionalmapping matrix P, adding a global constraint factor to further reduce the influence of dissimilar false-neighboring samples on a projection matrix to ensure that a low-dimensional manifold essential structure hidden in complex redundant data can be more accurately mined; and (3) realizing low-dimensional linear mapping of high-dimensional sample data. The method provided by the invention has the beneficial effects that for unconstrained face images obtained in the real environment, redundant information in high-dimensional data the DSPP can more accurately eliminated, essential features are extracted and the representation ability is enhanced; and in the meantime, the data dimension is also reduced, the storage space is saved and the reliability and the effectiveness of the face recognition are greatly increased.

The invention relates to an urban cellular automaton scene simulation method, a terminal device and a storage medium. The method comprises the following steps of: S100, collecting an ecological environment data of a research area; S200, performing ecological environment evaluation according to the collected ecological environment data, and obtaining an ecological index as an ecological constraintfactor; S300, establishing an ecological constraint based on an ordered weighted average in the urban cellular automaton according to the ecological constraint factor; and S400, establishing a urban cellular automaton model based on a logistic regression according to the ecological constraint, so as to simulate a city space dynamic evolution process. The urban cellular automaton scene simulation method couples an urban model of a binary logistic regression, the ordered weighted average and the cellular automaton, which is beneficial to identify the region with the most contradiction and stressbetween the urban development and the ecological constraints and give a reasonable solution, and is also beneficial to find trade-offs between the development and the protection for urban managementdepartments.

The invention discloses a complex network important node sorting method based on closeness and structural holes. First, the closeness and network constraint coefficient of each node in the complex network are obtained, and then the node influence factor matrix is ​​established by using the closeness. The node influence factor On the basis of the matrix, combined with the network constraint coefficient in the structural hole theory, the structural hole influence matrix is ​​constructed. Finally, the importance calculation formula of the nodes is defined according to the structural hole influence matrix, and each node is sorted according to the calculated value. The present invention is based on the node importance value calculated by the compactness and structural holes, and the obtained node importance ranking can more accurately and effectively evaluate the importance of nodes, and can obtain ideal calculation efficiency and results for large-scale real complex networks.

The invention provides a discriminant sparse preserving embedding method for unconstrained face recognition, 1) calculating a sample reconstruction relation matrix W, when calculating the sparse reconstructed relation of samples, the class label is introduced to construct the intra-class reconstructed relation matrix and inter-class reconstructed relation matrix respectively, and the intra-class and inter-class compactness constraint is added in the sparse reconstructed stage, which effectively increases the reconstructed relation between the samples to be tested and the same kind of samples,and weakens the reconstructed relation between the samples to be tested and the heterogeneous samples. 2) When calculating the low-dimensional projection matrix P and the low-dimensional projection matrix, the global constraint factor is added, which not only considers the local sparse relation of the sample, but also considers the global distribution characteristic, further weakens the disturbance of the heterogeneous pseudo-nearest neighbor sample to the low-dimensional projection, and more accurately excavates the essential structure of the low-dimensional manifold hidden in the complex redundant data; 3) The low-dimensional linear mapping of high-dimensional sample data is realized, which greatly improves the accuracy of face recognition in unconstrained environment.

The invention relates to a construction method of a shield and continuous cutting pile foundation for penetrating through a residential building group. The construction method comprises the following steps that the first step, house investigation and investigation of pipelines around houses are conducted; the second step, pile cutting construction numerical simulation is conducted; the third step, an automatic monitoring instrument is installed; the fourth step, pre-grouting reinforcement is conducted, wherein the reinforcement range includes buildings, the pipelines and planning tool changing points, and the reinforcement mode is a retrograde grouting mode; the fifth step, shutdown and inspection of a shield machine are conducted before pile cutting is conducted; the sixth step, pile cutting tunneling and pipe sheet splicing are conducted; the seventh step, grout supplement and emergent reinforcement are conducted. According to the construction method, pile cutting and penetration can be directly conducted without the operation that the existing buildings are demolished, the idea of energy conservation and environmental protection is met, the investment cost can be substantially reduced, the negative influence caused by demolition is reduced, and the number of the constraint factors of metro line selection is reduced; in addition, shield construction parameters and grouting parameters can be guided according to data which are fed back in real time through automatic monitoring, a comprehensive dynamic construction management system is implemented, the engineering risk is controllable, and the construction cost can be substantially reduced.

A log end surface image partitioning algorithm for improving an active contour model based on circle constraint comprises the following steps: initializing a contour line level set phi (x, y, t=0)=0, using an improved active contour model to control an evolution level set function, so as to complete precutting to log end surface images, then craking a single level set phi corresponding to the a pre-cut profile curve into n level set functions <phi>i (i=1,..., n, and n refers to a to-be-cut target number), using the <phi>i as an initial contour line, initializing into a signed distance function again, setting a proper circle constraint factor Tau, then using the improved active contour model based on circle constraint to divide the level set again so as to obtain a final log end surface contour line, and finishing cutting. The method provided by the invention has the advantages of an improved CV model and an LIF model at the same time, can effectively avoid image non-goal region and noise interferences through the combination of image overall and local information, the calculating is simple, the speed is fast, and the cutting effect on the log end surface is good. Great significance to accurate measuring and processing of the log end surface is achieved.

The invention discloses a design method of a cylindrical radial uniform magnetic field coil, which comprises the following steps of: firstly, equally dividing the surface of the coil along the axial direction according to the azimuth angle of a cylindrical coordinate system, determining the surface current density expression on one side, and determining that the current density distribution on theother side is completely the same as that on the other side but opposite in current direction; secondly, deducing a magnetic field expression of a target field point, selecting the curvature of the current density as a penalty function of a constraint coil, setting a constraint factor of the penalty function, and solving a value of an undetermined coefficient in the current density expression byutilizing a regularization method to obtain a current density distribution condition of the cylindrical surface; and finally, obtaining an actual current routing shape of the cylindrical radial uniform magnetic field coil by using a flow function. The method serves as an inverse method of coil design, the size of the cylindrical coil is limited in advance, the coordinate position of a target fieldpoint is selected, then actual current distribution of the coil is obtained through calculation, the length-diameter ratio of the cylindrical coil is effectively controlled, and a gap can be reservedin the center of the coil to form a light through hole.

The invention discloses a novel dry coal powder entrained-flow bed deslagging system for cooling, pelletizing and discharging liquid slag flowing out from a slag outlet. The system comprises a slag collector, a slag locking funnel and a slag dehydrating tank, wherein the slag locking funnel is arranged at a slag collector outlet and is connected with a pressure circulation pump; the slag dehydrating tank is arranged at a slag locking funnel outlet and is provided with a chain slag fishing machine; the slag collector is used for collecting slag generated inside a slag tank and a slag crushing machine; a first double-valve group consisting of a first valve and a second valve is arranged on a connecting pipeline of the slag collector and the slag locking funnel; a second double-valve group consisting of a third valve and a fourth valve is arranged on a connecting pipeline of the slag locking funnel and the slag dehydrating tank; and the connecting pipeline of the slag locking funnel and the slag dehydrating tank is connected with a high pressure water inlet tube with a high pressure washing partitioning valve. The system has the characteristics of security, simplicity and convenience in operation, effective blocked slag removal of a locking funnel system, and the like, and a constraint factor of long-term stable operation of a gasification device is eliminated.

The invention belongs to the technical field of low-voltage apparatuses, and relates to an electromagnetic trip device and a breaker with the electromagnetic trip device. The electromagnetic trip device comprises a magnetic yoke, a movable iron core and a counter-force spring. The movable iron core is arranged on the magnetic yoke, the upper end of the movable iron core extends out of the magnetic yoke, and the counter-force spring is arranged on the movable iron core in a sleeving mode. The electromagnetic trip device is characterized by further comprising a permanent magnet used for providing magnetic flux flowing through a magnetic path and generating electromagnetic attraction force to the movable iron core, the permanent magnet is arranged on the magnet yoke, the lower end of the movable iron core corresponds to the permanent magnet, the upper end of the counter-force spring is borne by the movable iron core, the lower end of the counter-force spring is borne by the permanent magnet, and when the large current flows through an external current loop, the movable iron core is trigged to act. The current carrying row of a main loop or the constraint factor of the current-carrying coil section is eliminated; the size is reduced, the installing space is saved, the electromagnetic trip device can be completely isolated from the main loop, the safety coefficient is increased, installing is flexible and convenient, and the electromagnetic trip device can be installed at reasonable positions of the breaker; copper product resources can be saved, and the resistance value and the power consumption of the breaker can also be obviously reduced.