The protein structure folding is one of the most challenging problems in the field of bioinformatics. The main problem of protein structure prediction in the 3D toy model is to find the lowest energy conformation. Alt...
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The protein structure folding is one of the most challenging problems in the field of bioinformatics. The main problem of protein structure prediction in the 3D toy model is to find the lowest energy conformation. Although many heuristic algorithms have been proposed to solve the protein structure prediction (PSP) problem, the existing algorithms are far from perfect since PSP is an NP-problem. In this paper, we proposed an artificial bee colony (ABC) algorithm based on the toy model to solve PSP problem. In order to improve the global convergence ability and convergence speed of the ABC algorithm, we adopt a new search strategy by combining the global solution into the search equation. Experimental results illustrate that the suggested algorithm can get the lowest energy when the algorithm is applied to the Fibonacci sequences and to four real protein sequences which come from the Protein Data Bank (PDB). Compared with the results obtained by PSO, LPSO, PSO-TS, PGATS, our algorithm is more efficient.
Studies have shown that the morphology and function of living cells are greatly affected by the state of different high acceleration. Based on the centrifuge, we designed a centrifugal cell loading machine for the mec...
Studies have shown that the morphology and function of living cells are greatly affected by the state of different high acceleration. Based on the centrifuge, we designed a centrifugal cell loading machine for the mechanical biology of cells under high acceleration loading. For the machine, the feasibility of the experiment was studied by means of constant acceleration or variable acceleration loading in the Petri dish fixture and/or culture flask. Here we analyzed the distribution of the acceleration of the cells with the change of position and size of the culturing device quantitatively. It is obtained that Petri dish fixture and/or culture flask can be used for constant acceleration loading by experiments; the centripetal acceleration of the adherent cells increases with the increase of the distance between the rotor center of the centrifuge and the fixture of the Petri dish and the size of the fixture. It achieves the idea that the general biology laboratory can conduct the study of mechanical biology at high acceleration. It also provides a basis for more accurate study of the law of high acceleration on mechanobiology of cells.
A comparative study of two over-constrained 2-RPU+SPR parallel manipulators (PM) is studied in terms of workspace and transmission performance in this paper. The two 2-RPU+SPR PMs have identical kinematics limbs, but ...
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ISBN:
(纸本)9781467384155
A comparative study of two over-constrained 2-RPU+SPR parallel manipulators (PM) is studied in terms of workspace and transmission performance in this paper. The two 2-RPU+SPR PMs have identical kinematics limbs, but some differences exist in terms of the joints distribution. The kinematics, the workspace and the transmission performance are studied and simulation examples are presented to demonstrate the differences between the two PMs. This study provides insights into the two parallel manipulators with identical limbs but with different joints distribution.
Single particle analysis, which can be regarded as an average of signals from thousands or even millions of particle projections, is an efficient method to study the three-dimensional structures of biological macro- m...
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Single particle analysis, which can be regarded as an average of signals from thousands or even millions of particle projections, is an efficient method to study the three-dimensional structures of biological macro- molecules. An intrinsic assumption in single particle analysis is that all the analyzed particles must have identical composition and conformation. Thus specimen heterogeneity in either composition or conformation has raised great challenges for high-resolution analysis. For particles with multiple conformations, inaccurate align- ments and orientation parameters will yield an averaged map with diminished resolution and smeared density. Besides extensive classification approaches, here based on the assumption that the macromolecular complex is made up of multiple rigid modules whose relative orien- tations and positions are in slight fluctuation around equilibriums, we propose a new method called as local optimization refinement to address this conformational heterogeneity for an improved resolution. The key idea is to optimize the orientation and shift parameters of each rigid module and then reconstruct their three-dimen- sional structures individually. Using simulated data of 80S/70S ribosomes with relative fluctuations between the large (60S/50S) and the small (40S/30S) subunits, we tested this algorithm and found that the resolutions of both subunits are significantly improved. Our method provides a proof-of-principle solution for high-resolutionsingle particle analysis of macromolecular complexes with dynamic conformations.
In this article, we investigate the use of joint a-entropy for 3D ear matching by incorporating the local shape feature of 3D ears into the joint a-entropy. First, we extract a sut^cient number of key points from the ...
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In this article, we investigate the use of joint a-entropy for 3D ear matching by incorporating the local shape feature of 3D ears into the joint a-entropy. First, we extract a sut^cient number of key points from the 3D ear point cloud, and fit the neighborhood of each key point to a single-value quadric surface on product parameter regions. Second, we define the local shape feature vector of each key point as the sampling depth set on the parametric node of the quadric surface. Third, for every pair of gallery ear and probe ear, we construct the minimum spanning tree (MST) on their matched key points. Finally, we minimize the total edge weight of MST to estimate its joint a-entropy the smaller the entropy is, the more similar the ear pair is. We present several examples to demonstrate the advantages of our algorithm, including low time complexity, high recognition rate, and high robustness. To the best of our knowledge, it is the first time that, in computer graphics, the classical information theory of joint a-entropy is used to deal with 3D ear shape recognition.
Research the depth of 3000 m Work-Class ROV as mock object and develop a ROV for land test. This device is set three lifting point in the top. The rope connecting the front two lifting point is fixed, the rope connect...
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Research the depth of 3000 m Work-Class ROV as mock object and develop a ROV for land test. This device is set three lifting point in the top. The rope connecting the front two lifting point is fixed, the rope connecting the rear lifting point change the length by motor. All of those lifting point are in order to achieve the function of forerake and hypsokinesis. The Dummy ROV can displace the real ROV to simulate the land construction, improve the efficiency of ocean construction and reduce the cost of experiment.
With the deepening of the Marine development, underwater constructing often need to use the ROV. In order to verify the construction scheme, ensuring construction efficiency, the staff will use ROV or Dummy ROV on lan...
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With the deepening of the Marine development, underwater constructing often need to use the ROV. In order to verify the construction scheme, ensuring construction efficiency, the staff will use ROV or Dummy ROV on land to simulate construction. As the main body of the ROV, the manipulator is the execution part of the system. It is the core of the whole system;all of the drive and control are around it. It references the mature underwater manipulator, and draw lessons from the domestic manipulator design experience. The design adopts electric drive, and the joints torque were calculated and simulated by the Solid Works motion analysis software.
Along with the development of social network, more and more people know the world by reading news. The problem about what kind of emotion is inspired when people read news is very worthy of discussion. This paper will...
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ISBN:
(纸本)9781509008070
Along with the development of social network, more and more people know the world by reading news. The problem about what kind of emotion is inspired when people read news is very worthy of discussion. This paper will mix Deep Belief Networks (DBN) model and Support Vector Machine (SVM) to a hybrid neural network model by using the Contrast Divergence (CD) algorithm to estimate the weights when training a generating model, ensure that each layer of the Restricted Boltzmann Machine (RBM) mapping the features of the inputs to the best. At the same time, we cascade the last layer of DBN and a SVM classifier to adjust judging performance. And a set of tags will be attached to the top (Associative Memory), through a process of parameter tuning, learn the identifying weights to obtain a network for the task of text classification. The experimental results show that the hybrid neural network model works better than the traditional text categorization method based on simple characteristics (such as CHI), and it is more suitable for extracting text semantic characteristics.
In this paper, we propose a novel megawatt-class wind turbine gear train optimal design method based on genetic algorithm. Firstly, we construct an objective function to obtain the optimal quality of gear train with t...
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When an autonomous mobile robot exploring in an unstructured environment, it may often enter a wall-corner, but be stuck there. We present a wall-corner collision detection and avoidance algorithm using depth images. ...
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ISBN:
(纸本)9781509023974
When an autonomous mobile robot exploring in an unstructured environment, it may often enter a wall-corner, but be stuck there. We present a wall-corner collision detection and avoidance algorithm using depth images. We first determine if a mobile robot is trapped in a wall-corner using historic alternate turnings. Then we propose a geometric approach to let the robot escape a corner. We demonstrate the efficiency of our algorithm using simulations and experimental tests. Using our algorithm, a robot can quickly detect and escape wall-corners. Moreover, we extend our algorithm to handle a very challenging scenario, Z-shaped Zigzag paths.
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