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183 results about "Space optimization" patented technology

Abstract convex lower-bound estimation based protein structure prediction method

Disclosed is an abstract convex lower-bound estimation based protein structure prediction method. The method includes: firstly, aiming for high-dimensional conformational spatial sampling problems for proteins, adopting a series of transform methods to transform an ECEPP / 3 force field model into an increasing radial convex function in unit simple constraint conditions; secondly, based on an abstract convex theory, proving and analyzing to give out a supporting hyperplane set of the increasing radial convex function; thirdly, constructing a lower-bound underestimate supporting plane on the basis of population minimization conformation subdifferential knowledge under a differential evolution population algorithm framework; fourthly, by the aid of a quick underestimate supporting plane extreme point enumeration method, gradually decreasing a conformational sampling space to improve sampling efficiency; fifthly, utilizing the lower-bound underestimate supporting plane for quickly and cheaply estimating an energy value of an original potential model to effectively decrease evaluation times of a potential model objective function; finally, verifying effectiveness of the method by methionine-enkephalin (TYR1-GLY2-GLY3-PHE4-MET5) conformational spatial optimization examples. The abstract convex lower-bound estimation based protein structure prediction method is high in reliability, low in complexity and high in computation efficiency.
Owner:ZHEJIANG UNIV OF TECH

Multi-coordinate end milling process tool position optimization method using longitude line division tool bit

InactiveCN101269423AAvoid interferenceControl machining errorMilling cuttersMathematical modelLine width
The invention discloses an optimization method for a multi-coordinates end milling processing cutter spacing which adopts a meridian division cutter. Firstly, the working face of a cutter is dispersed into a set of enough dense meridians, and then the minimum distance among the meridians and a designed curved face so as to get a set of minimum-distance line segments; secondly, the points on the minimum-distance line segment at the cutter working face are connected together to form a curve in space, namely, a typical line; the typical line arranged in a programming tolerance range is regarded as an effective typical segment; with the distance between two endpoints of the effective typical segment, the surface projection vertical to the feed direction of the cutter is used as processing line width; the maximum of the processing line width is regarded as the object function of cutter spacing optimization; the non-negative distance between all meridians and the designed curved face is regarded as one of constraint conditions; a mathematic model of the cutter spacing optimization is constructed and is combined with a cutter rail for fair and smooth processing, getting the optimization cutter spacing through a solution procedure. The optimization method can be used for effectively avoiding interference and control the mismachining tolerance and improving the working efficiency.
Owner:BEIHANG UNIV

Multi-objective optimization-based high-dimensional data semi-supervised ensemble classification method

The invention discloses a multi-objective optimization-based high-dimensional data semi-supervised ensemble classification method, relates to the field of artificial intelligent ensemble learning, and mainly solves the problems in sub-space optimization and selection and semi-supervised information utilization in the prior art. The high-dimensional data semi-supervised ensemble classification method comprises the following steps of S1, inputting a training data set; S2, performing data normalization on the input training data set; S3, generating a random sub-space set; S4, performing multi-objective optimization selection of the sub-space set; S5, searching for an optimal semi-supervised classifier in feature sub-spaces; S6, classifying test samples; and S7, calculating classification accuracy. According to the method, the problem of difficulty in processing high-dimensional data is solved by utilizing random sub-spaces; the selection of the sub-spaces is fully optimized by utilizing a multi-objective optimization solution to improve the robustness of the sub-spaces; and the classifiers of the sub-spaces are optimized by fully utilizing untagged and tagged information, so that the generalization capability of the classifiers is improved.
Owner:SOUTH CHINA UNIV OF TECH

Coding method of code-rate-variable low-density parity-check codes (LDPCs) of which performance approximates to channel capacity

The invention discloses a coding method of code-rate-variable low-density parity-check codes (LDPCs) of which the performance approximates to the channel capacity, and mainly solves the problem of difficulty in performance optimization of the prior concatenated Zigzag codes, which is caused by limitation on space optimization. The coding method is realized through the following steps: firstly, a parameter Gamma of a precoder is optimized; subsequently, an information bit group is divided into two subgroups, wherein one subgroup is coded via an accumulator, and a coding result is combined with the other subgroup to serve as output of the precoder; afterwards, the output of the precoder is sent into concatenated Zigzag code coders to be coded, and check bit groups are obtained; and finally, the information bit group is combined with the check bit groups to form code words. The LDPC codes obtained through the method are named as pre-coding concatenated Zigzag codes, and the pre-coding concatenated Zigzag codes can conveniently realize performance optimization and support various code rates. A density evolution computational method and a computer simulation result show that decoding thresholds of the pre-coding concatenated Zigzag codes approximate to a Shannon limit, and the pre-coding concatenated Zigzag codes have excellent performance at different code rates and different lengths.
Owner:XIDIAN UNIV

Building method of 3D printing weaving integrated forming building

The invention discloses a building method of a 3D printing weaving integrated forming building, which comprises the following steps: selecting basic structural components, using finite element analysis after space modeling, combining stress cloud pictures, setting a judgment field, carrying out structural space optimization, obtaining a structural component framework, carrying out calculation analysis on the structural component framework, determining the knitting range and the knitting density of the wire according to the weak surface of the structure, determining the printing process and theknitting process according to the framework of the structural component and the knitting range and the knitting density of the wire, preparing 3D printing materials; processing 3D printing substrateand wire materials according to the printing process and the knitting process, one-time forming of the superposition after construction layer by layer, or connecting through a preset tenon construction segment after the segment is printed. The building method of a 3D printing and weaving integrated forming building has the advantages of high toughness, fatigue resistance, and long service life, and enables the various parts of the building to not only achieve different requirements of structural mechanics, but also achieve economic beauty and type art on the basis of safety and reliability.
Owner:ZHEJIANG UNIV

Method for establishing underwater landform digital elevation based on Kriging method

The invention discloses a method for establishing underwater landform digital elevation based on a Kriging method, which mainly aims to solve the problem that bigger water depth errors exist in some position points in a digital elevation establishing process when the water depth value change amplitude of the water depth data is large. The method comprises the following steps: loading initial water depth data; establishing underwater irregular triangular network landform according to the initial water depth data; performing space optimization on the irregular triangular network landform; analyzing the variable structure of the initial water depth data; performing the water depth Kriging interpolation process of the irregular triangulation network landform; performing error compensation on the water depth interpolation result. Compared with the method for directly generating regular grid digital elevation through initial water depth data interpolation, the method provided by the invention is used for selecting Kriging interpolation data to generate regular grid digital elevation through the topographic inequality of the irregular triangulation network landform, so that the problem of bigger regular grid digital elevation errors caused by large water depth value change amplitude of water depth data is solved.
Owner:SOUTHEAST UNIV

Artificial immunity intelligent optimization system facing geographical space optimization

The invention relates to an artificial immunity intelligent optimization system facing the geographical space optimization, which comprises an immune operator library, a problem application library and an application platform module. The immune operator library is used for storing immune operator plugins; the problem application library is used for storing application plugins for solving the space optimization problem; the application platform module is used for calling the corresponding immune operator plugins from the immune operator library according to the selection of a user to determine a clonal selection algorithm and calling the corresponding application plugins from the problem application library to determine an antibody code and an affinity evaluation function of the specific space optimization problem to be solved of the user; and according to the determined antibody code and affinity evaluation function, the optimal solution of the specific space optimization problem to be solved of the user is acquired by the clonal selection algorithm. The artificial immunity intelligent optimization system provided by the invention can integrate the clonal selection algorithm which is currently and most widely used in the field of geoscience, and has universality, expandability and openness.
Owner:WUHAN UNIV

Layering collocation method of land utilization

The invention relates to a layering collocation method of land utilization. According to the layering collocation method of the land utilization, basic data of the land utilization are firstly obtained and collected by a land utilization layering collocation model, land needing to be optimized in spatial arrangement is suitability evaluated, a specific genetic algorithm chromosome and a genetic evolution operator are constructed aiming at optimization problems of the land utilization spatial arrangement, mapping from a problem domain to the algorithm domain is accomplished and the spatial arrangement of various kinds of land is optimized by using the genetic algorithm under the guidance of a space optimization objective, and then land utilization competition between the optimized spatial arrangement of the various kinds of land and the land utilization in an existing state is solved by combining knowledge in the land planning field and the game theory. The layering collocation method of the land utilization is capable of well optimizing the spatial arrangement of the various kinds of land and good at coordinating the land utilization. The knowledge in the land planning field ensures that a land utilization coordination result is reasonable and the game theory is capable of solving the land utilization competition by introducing benefit factors, and feasibility of the land utilization coordination result is well guaranteed.
Owner:WUHAN UNIV

Wireless monitoring system of municipal pipe network

The invention discloses a wireless monitoring system of a municipal pipe network, which is composed of a monitoring node, a Sink node, an upper computer, relevant communication protocols and application software and the like. Optimizing methods for a wireless self-organization communication protocol, energy-saving application, monitoring position selection and the like are further disclosed. The optimizing methods of the wireless self-organization communication protocol include precise synchronization, failure prediction, frequency conversion interference, time division optimization, channel space optimization sharing and the like. An energy-saving application optimizing method includes model selection of low power consumption hardware, design of a power supply protective circuit, optimizing design of a circuit board, a dormant optimizing mechanism, duty ratio optimization, transmission power optimization and the like. A point position optimizing selecting method is particularly a method for searching the most sensitive point in a certain monitoring area. By means of the various optimizing methods, low cost, low power consumption, safety, reliability, intelligence, efficiency and automation of monitoring of the municipal pipe network are achieved.
Owner:中机生产力促进中心有限公司
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