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    30 June 2018, Volume 39 Issue 3 Previous Issue    Next Issue

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    Adaptive Sampling Method for Solid Wall Virtual Particle Boundary Handling in SPH Fluid Solid Coupling Simulation
    ZHU Xiaolin, WANG Huanhuan, YIN Jingcun
    2018, 39(3): 381-388.  DOI: 10.11996/JG.j.2095-302X.2018030381
    Abstract ( 98 )   PDF (8497KB) ( 117 )  
    The method for solid wall virtual particle boundary handling is a main boundary handling
    method in fluid simulation, while it cannot ensure that no fluid penetrates the solid boundary, and
    requires a huge amount of computation. To prevent fluid particles from penetrating the boundary, in
    this paper a damp zone is set up near the boundary, and each fluid particle in this zone will be applied
    by the boundary with an elastic force and a damping force that is opposite to the moving velocity of
    the fluid particle. Therefore, the particles near the boundary become more stabilized. To reduce the
    amount of computation, this paper proposes two adaptive sampling methods for boundary particles
    based on different numbers of particles around the boundary: one is to adaptively sample particles of
    different masses; the other is to adaptively sample particles of the same mass in different layers.
    Compared with the traditional method for solid boundary particle sampling, these two adaptive
    sampling methods reduce the number of boundary particles, accelerate the simulation speed and save
    the computer memory. In addition, all of the 3D fluid simulations in this paper are based on the GPU
    acceleration technique, and can interact in real time.
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    Point Cloud Registration Algorithm Based on Local Features
    ZHAO Fuqun1,2, ZHOU Mingquan2,3, GENG Guohua2
    2018, 39(3): 389-394.  DOI: 10.11996/JG.j.2095-302X.2018030389
    Abstract ( 97 )   PDF (500KB) ( 200 )  
    Aiming at low-coverage-rate point clouds, a registration algorithm was proposed based on
    local features in the paper. Firstly, local features including the local depth, deviation angle between
    normals and point cloud density are extracted, and the local feature descriptor is obtained. Secondly,
    the correspondence of local feature sets is calculated and the corresponding candidates are gained.
    Thirdly, the outliers are eliminated and coarse registration is achieved. Lastly, an improved iterative
    closest point (ICP) algorithm based on the rotation angle constraint, and the dynamic iterative
    coefficient is employed to complete fine point cloud registration. The experiment results reveal that
    the point cloud registration algorithm could achieve the precise registration of low-coverage-rate
    point cloud, based on local features, a high-precision and fast one.
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    A Progressive Interpolation Scheme for Loop Subdivision Surfaces with Shape Adjustment
    CHEN Tiantian, YAN Di, WANG Wei, ZHAO Gang
    2018, 39(3): 395-401.  DOI: 10.11996/JG.j.2095-302X.2018030395
    Abstract ( 62 )   PDF (1224KB) ( 135 )  
    Aming at the problems that Loop subdivision can’t satisfy the shape adjustment and interpolate
    the given mesh, a progressive interpolation scheme for Loop subdivision surfaces with shape adjustment is
    presented. Firstly, an equivalent Loop subdivision mask that can adjust the mesh vertices uniformly and
    facilitate the introduction of weight to adjust the shape of subdivision surfaces is proposed. Secondly, the
    new grid is generated by the iterative adjustment of the initial control grid, and using the two-phase Loop
    subdivision scheme presented in this paper to subdivide the new mesh, the shape-adjustable Loop
    subdivision surface that interpolate the initial control vertices is obtained. Finally, the convergence of the
    scheme is proved and some typical examples are illustrated to verify its effectiveness.
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    Double-Parameter Geometric Subdivision Method
    MENG Huining1, LI Yajuan1, XU Huixia2, LIU Jianzhen1, DENG Chongyang 1
    2018, 39(3): 402-410.  DOI: 10.11996/JG.j.2095-302X.2018030402
    Abstract ( 50 )   PDF (1778KB) ( 147 )  
    A geometric subdivision method based on double parameters is proposed in this paper.
    Firstly, the new control points are determined by the original control points and their tangents: using
    the quadratic rational Bézier curves formula in which the parameter t is 0.5, let two adjacent points
    and the intersecting point of their tangents be the control points of Bézier curves, and take its weight
    as the first parameter  to calculate new points. Then we calculate new tangent vectors of all points:
    after define provisional tangent vectors, the circle-tangent of this point is computed by the point and
    its two adjacent points; whereafter define the formula of new tangents for all points by introducing
    the second parameter  related to tangent vectors. Theoretical analyses show its convexity preserving
    and convergence. If the second parameter =0, and next step we define a new factor by the initial
    parameter , its limit curve is a piecewise rational quadratic C1 curve. The circle preserving of this
    scheme can be obtained by computing new points with different parameters  in every step under =1.
    The effectiveness of this approach is verified by some numerical examples.
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    SPH-Based Simulation of Raindrops Beating an Irregular Boundary
    LIU Jiarui1, YANG Meng1, WU Jiaze2, YANG Gang1
    2018, 39(3): 411-418.  DOI: 10.11996/JG.j.2095-302X.2018030411
    Abstract ( 79 )   PDF (1213KB) ( 138 )  
    In order to simulate the process of raindrops hitting branches and other irregular boundary,
    research has been conducted on the force of the fluid particles on solid boundaries represented by the
    grid. A kind of boundary force simulation method without particle sampling is proposed. This
    approach exploits the Gauss quadrature rules to integrate the triangular patches of a mesh model and
    correct the particle density on the solid-liquid boundary. In addition, several parameters, including
    pressure and viscous forces on the solid-liquid boundary, are also calculated using an integral
    method to ensure the continuity of the boundary force and avoid a splashing phenomenon at the
    moment of particles’ beating the boundary. Meanwhile, this paper propounds an attractive force
    model to control the movement of the boundary particles flowing down on the surface of an object.
    The experimental results reveal that the approaches proposed in this paper can achieve more realistic
    effects of phenomenon simulations, such as the raindrop spreading, retracting and flowing along the
    boundary, etc.
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    Automatic Filling Algorithm of Arbitrary Complex Region Based on Grid
    QIU Guoqing
    2018, 39(3): 419-423.  DOI: 10.11996/JG.j.2095-302X.2018030419
    Abstract ( 63 )   PDF (600KB) ( 135 )  
    A fully automated filling algorithm for any complex area is designed based on the principle
    of grid and equal-spaced parallel lines. Firstly, we turn the whole area filling into grid. Secondly, we
    draw a series of equidistant parallel lines and calculate row column ordinal value of each parallel line
    going through the polygon grid. Thirdly, each grid cell is filled with the autonomous cycle method,
    according to the calculation of the row and column number value of the grid. Finally, the entire area is
    automatically filled. The verification of multiple sets of data through an independently designed
    application program indicates that the algorithm can realize filling quickly and automatically, and a
    detailed analysis is made on the technical difficulties that occur in the experiment.
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    Vertex Invariants Based on Level-Order Traversal and Their Graph Invariants
    JIANG Shunliang, TANG Yiling, GE Yun, XU Shaoping, YE Famao
    2018, 39(3): 424-431.  DOI: 10.11996/JG.j.2095-302X.2018030424
    Abstract ( 85 )   PDF (507KB) ( 125 )  
    In order to find graph invariants with higher performance, fifteen kinds of vertex invariants
    are defined by weighted accumulation with the help of vertex data in the process of level-order
    traversal. Every kind of vertex invariants are able to compose a graph invariant after being sorted.
    The vertex degree is divided into the internal degree, the forward degree, and the backward degree
    during the traversal, while the internal degree and the backward degree include the number of loops.
    Three kinds of vertex invariants are selected based on the refining performance, and then the graph
    invariants are generated. The combination of three kinds of graph invariants performs well in
    distinguishing a variety of non-isomorphic connected graphs. Not only all the non-isomorphic graphs
    with the number of vertexes N≤8 are distinguishable, but also the number of undistinguishable
    graphs with N=9 is reduced from 989 of literature [9] down to 40, with the degeneracies of these
    graph invariants approaching 2. Random tests shows that these graph invariants have good
    performances in differentiation.
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    Wheel Tread Area Extraction Based on Image Distortion Correction
    WANG Yongsheng, MA Zengqiang, SONG Zibin, XIAO Meiling
    2018, 39(3): 432-439.  DOI: 10.11996/JG.j.2095-302X.2018030432
    Abstract ( 56 )   PDF (4238KB) ( 223 )  
    In order to realize accurate measurement of the area of tread defect, a new method of wheel
    tread area extraction is proposed based on image distortion correction. Firstly, the improved colorful
    image labeling watershed algorithm is adopted to segment the surface image of the side view. Then,
    the geometric correction is perfomed according to different characteristics of the horizontal and
    vertical distortion of tread surface image. In this process, the two segmentations and the perspective
    transformation of tread area are completed. Finally, a correction image is obtained from the tread
    angle. The experimental results reveal that this method can accurately segment and correct the side
    view of the tread image, which lays a solid foundation for the accurate calculation of tread defect
    area.
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    On the Surface Damage Features of Transmission Line Conductors Based on Image Processing
    ZHANG Xinchun, CAO Yingping, HAN Chunyu, BAI Yuncan
    2018, 39(3): 440-447.  DOI: 10.11996/JG.j.2095-302X.2018030440
    Abstract ( 78 )   PDF (9628KB) ( 136 )  
    The surface damage of conductors is an important factor in affecting the mechanical and
    electrical performances of overhead transmission lines. Thus, it is important to study the surface
    damage features of conductors for the durability design and safety assessment of transmission
    conductors. Firstly, several typical conductors (aluminium conductor steel reinforced, ACSR) in
    different regions and voltage levels are selected as the objects of study in this paper. Then the image
    information of the damaged surface of conductors is extracted by image processing technology. An
    improved pixel covering algorithm is proposed to make up for the shortcomings of the traditional
    pixel covering method, and thus the relations between surface damage features and fractal dimensions
    of conductors can be established. Research results show that there is obvious fractal rule in the
    conductor surface topography. The fractal dimensions can measure the surface damage characteristics
    of conductors. The two-dimensional (2D) fractal dimension tends to become smaller with the
    decrease in the conductor surface damage. The increase in the unevenness of conductor surface will
    improve the 3D fractal dimensions. When the damage of the conductor surface is a scar, the 2D
    fractal dimension is between 1.5 and 1.7. If the damage is characterized with wear, the fractal
    dimension spans from 1.2 to 1.4; whereas the damage is characterized with corrosion, the fractal dimension ranges from 1.4 to 1.5.
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    An Improved Optical Flow Algorithm for Micro Expression Detection in the Video Sequence
    LI Qiuyu1, ZHANG Yuming2, YANG Fumeng3, ZHAN Shu1
    2018, 39(3): 448-452.  DOI: 10.11996/JG.j.2095-302X.2018030448
    Abstract ( 55 )   PDF (719KB) ( 140 )  
    Micro-expression is a kind of short-duration subtle expression which is not controlled by
    the autonomic nervous system. Micro-expression appears when a person is attempting to conceal his
    true emotion. Micro-expression detection boasts great application prospects in many fields, such as
    public security, investigation and interrogation as well as clinical medicine due to its close
    relationship with lie detection. Automatic detection of micro-expressions has come to the fore in
    research, because it is of great difficulty to artificially identify micro-expression . This paper proposes
    an improved algorithm based on the Horn-Schunck (HS) optical flow for automatic micro-expression
    detection. In this study, the pre-conditioned Gauss-Seidel iterative method is employed to improve the
    HS optical flow method, which accelerates the convergence rate. Experiments in the spontaneous
    micro-expression database CASME show that the propounded method exerts an excellent effect on
    the detection of micro-expression.
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    Underwater Image Enhancement Based on the Principle of Dark Channel Prior
    ZHU Zhenjie1, WANG Hongru1,2
    2018, 39(3): 453-462.  DOI: 10.11996/JG.j.2095-302X.2018030453
    Abstract ( 146 )   PDF (2404KB) ( 260 )  
    In view of the serious degradation of the underwater images caused by underwater light
    attenuation and scattering, a new method of underwater image enhancement is proposed in this paper.
    The new method based on the principle of dark channel prior conducts underwater image
    enhancement and image thinning on dark channel by the method of soft matting. In the first 0.1%
    brightest pixels of the image, the medians of these pixels are calculated through the median filtering
    algorithm. Then, the differences between these pixels and their corresponding medians are calculated,
    and the pixel of minimum difference is employed as an estimate of the background light. The
    accuracy of the estimated background light is judged by the color saturation variance of the region
    around the pixel. Afterwards, the Retinex algorithm and the ratio of attenuation coefficients for each
    color channel are adopted to conduct color correcting for enhancement images. It is shown by
    experiments that the proposed method can effectively dehaze the underwater images, correct the color
    cast of images and further enhance the image contrast.
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    Optimization and Behavior Identification of Keyframes in Human Action Video
    ZHAO Hong, XUAN Shibin
    2018, 39(3): 463-469.  DOI: 10.11996/JG.j.2095-302X.2018030463
    Abstract ( 139 )   PDF (515KB) ( 175 )  
    In the course of behavior identification, extracting keyframes from the video can
    effectively reduce the amount of video index data, so as to improve the accuracy and real-time
    performance of behavior identification. A method for optimizing the keyframe sequence is proposed
    to improve the representativeness of keyframes, on which the behavior identification is based. Firstly,
    the K-means clustering algorithm is employed to extract keyframes in the human action video
    sequence according to 3D human skeleton features. Then, the quadratic optimization is performed in
    the light of the location of keyframes to extract the optimal keyframe, and it can reduce the redundancy
    of keyframe sequence, compared with traditional ways. Finally, the behavior video is identified by
    convolutional neural network (CNN) classifiers in accordance with the optimal keyframe. The
    experiment results on the Florence 3D Action dataset indicate that the method has a high identification
    rate, and drastically shortens the identification time, compared with the traditional method.
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    Symmetry Invariance Shape Context Feature Extraction and Image Matching
    JIA Gengyun, ZHAO Haiying, ZHOU Qian, LI Xueming
    2018, 39(3): 470-476.  DOI: 10.11996/JG.j.2095-302X.2018030470
    Abstract ( 53 )   PDF (1625KB) ( 224 )  
    Shape context is a popular algorithm of image shape feature extraction and matching,
    traditional shape context algorithm lacks symmetry invariance, which means it can not match two
    similar but symmetrical shapes. To overcome this shortcoming, this article proposed an improved
    shape context algorithm with symmetry invariance. The method defines the gradient direction of a
    sample point as its 0 rad in log polar coordinates when computing the angle relations in shape context,
    then compare the number of sample points in 0 rad to π rad and π rad to 2π rad, and adjust the angel
    increasing direction in the coordinate according to the results. In the process of iterative shape
    warping and shape contexts calculation, the symmetry invariance descriptors are only applied in the
    first iteration to obtain a more stable matching result. Experimental results show that the proposed
    algorithm can effectively establish match between two similar and symmetrical shapes, and therefor
    improve the retrieval precision.
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    Apply Vehicle Vision to Detect Driver’s Rearview Mirror Watching Behaviors
    HUANG Bo1, ZHONG Mingen1,2, WU Pingdong3, HUANG Jiehong1, QIAO Yunhao1
    2018, 39(3): 477-484.  DOI: 10.11996/JG.j.2095-302X.2018030477
    Abstract ( 46 )   PDF (4006KB) ( 300 )  
    The driver’s rearview mirror watching behavior is one of the necessary steps for driving
    safety when the vehicle is turning, however, the detection technology or application of this behavior
    is still absent. Thus an adaptive detection method of the drivers’ rearview mirror watching behaviors
    during the vehicle steering process was presented in this paper with the help of vehicle vision and
    image process technology for safety monitoring and reminding. A frame spatial gradient differences
    searching algorithm was designed to complete the initial parameters’ learning work on both the
    drivers’ face and neck regions when the vehicle engine was fired, while a expand-contract searching
    algorithm was invented to accomplish a fast recognition when the vehicle was moving. Contours of
    the driver's face and neck parts were extracted without segmentation. An area ration between left and
    right parts of the contours separated by a vertical line passing through the base point of neck contour
    was defined as a characteristic parameter. By analyzing the drivers’ eye movement data during driving, a discipline called local peak value distributing of the parameter’s cumulative probability was
    uncovered, which helped to build a real time eigenvalue reference estimation method and a threshold
    judging principle of the drivers’ rearview mirror watching behaviors. Experimental results showed
    that this method was not sensitive to the types and details of drivers' faces, and was robust to some
    disturbance, and the overall detection accuracy rate was 96.1%.
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    Multitask Fine-Grained Vehicle Identification Based on Deep Convolutional Neural Networks
    WANG Haiyao1, TANG Juan2, SHEN Zhenhui1
    2018, 39(3): 485-492.  DOI: 10.11996/JG.j.2095-302X.2018030485
    Abstract ( 120 )   PDF (1735KB) ( 292 )  
    Vehicle identification, especially fine-grained vehicle identification, is an important part of
    modern intelligent transportation system. Aiming at the problem that it is difficult to effectively
    recognize fine-grained vehicle using traditional vehicle identification methods, we take three classic
    deep convolutional neural networks (such as AlexNet, GoogleNet and ResNet) as the basic networks,
    and introduce the classification of vehicle types as the auxiliary task, together with fine-grained
    vehicle identification task to constitute a multitask joint-learning model. By training and evaluating
    our model on a public data set which contains 281 vehicle types, we have demonstrated the excellent
    performance of this model in fine-grained vehicle identification task with no need of annotations
    about vehicle parts’ location and additional 3D information. Besides, with the introduction of
    multitask learning strategy, the performance of this model can be improved, compared with that of
    any single-task learning model. Our model is simple and efficient, and can basically meet the demand
    of practical applications.
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    Research on Apple Picking System Based on Visual Identification and Location
    LI Zhenyu, WANG Haochen
    2018, 39(3): 493-500.  DOI: 10.11996/JG.j.2095-302X.2018030493
    Abstract ( 72 )   PDF (2352KB) ( 298 )  
    The task of apple picking robot become more complicated for swing and overlapping of
    apple. Thus the paper proposes a new apple picking method based on visual identification and
    location technology. It can help robot to find out target more efficiently by visual inspection
    technology in the Orchard. Firstly, we applied image filtering, histogram equalization and image
    segmentation to make the background and fruit’s contour separated. Secondly, the proposed algorithm
    applied to calculate the curvature of edge contour to find the peak point of curvature. Finally, this
    study converted the pixel coordinate of peak point calibrated, and turning pixel coordinate into world
    coordinate system to make it the target point for robot which robot can grab. Robot could adjust
    posture to trace fruit and identify it with position information of target point, and then find it, grab it,
    and pick it accurately. The experiment showed the robot grab the fruits of success rate as high as
    ninety percent above by applying proposed method. The proposed study also provide some valuable
    reference for identify and locating of spherical or round shaped fruits.
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    An Adaptive Feature Extraction Method Based on PCA
    ZHANG Xin, DIAO Luhong, NAN Dong, WANG Yongli, LIU Yang
    2018, 39(3): 501-508.  DOI: 10.11996/JG.j.2095-302X.2018030501
    Abstract ( 63 )   PDF (919KB) ( 130 )  
    An adaptive features extraction method is proposed. It defines an adaptive objective
    function based on the projective space derived by using PCA method. Then the projection space of
    the individual sample is computed. The distribution characteristics of each sample are well considered.
    In order to make the algorithm applicable to the classification problem, a similarity measurement is
    proposed to calculate the similarity between individual samples in different projection spaces.
    Compared with the Euclidean metric, the proposed measurement is proved that can represent the
    geodesic distance relationship between the samples better, so that the proposed method can learn the
    manifold data effectually. The classification and reconstruction experiments on the different databases
    indicate that the new method can obtain features more effectively and robustly.
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    Study on the Technologies of Close Range Photogrammetry and Applications in the Manufacture of Aviation
    ZHAO Boya1, ZHANG Chengyang2, JING Xishuang2
    2018, 39(3): 509-514.  DOI: 10.11996/JG.j.2095-302X.2018030509
    Abstract ( 48 )   PDF (1463KB) ( 126 )  
    In recent years, the technologies of close range photogrammetry have been widely used in
    the manufacture of aviation, so the technologies of close range photogrammetry and applications are
    studied. This article describes the composition of a close range measurement system and the close
    range measuring equipment produced by companies at home and abroad. The taking of measurement
    points and the calibration of close range photogrammetry are discussed. The advantages and
    disadvantages of close range photogrammetry are summarized. The applications of close range
    photogrammetry in the manufacture of aviation are described.
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    Experience Measurement of Three Navigation Interfaces in Virtual Riding
    JIANG Lijun1,2, LI Jianyu1, LI Zhelin1,2, WU Zhanghong1, ZHANG Yu1
    2018, 39(3): 515-521.  DOI: 10.11996/JG.j.2095-302X.2018030515
    Abstract ( 105 )   PDF (3348KB) ( 130 )  
    Relevant researches indicate that most users meet difficulties in navigation in virtual reality.
    However, the current study on navigation is still insufficient. Aiming at this problem, a study on
    immersive virtual riding is conducted to measure the user experience of different navigational
    interfaces including the map, the directional icon and the light path. The evaluation indicators involve
    efficiency, satisfaction and learnability. Subjects will ride along the paths in virtual environment to
    reach the destination and the system will record the riding time and the number of collisions to
    quantify different elements of user experience. The experimental result shows as follows. Firstly, the
    directional icon can increase the efficiency of virtual riding to some, but not significant degree.
    However, the directional icon contributes to low perception of other objects in virtual environment.
    Secondly, when the users use light path to navigate, the usability and the learnability are significantly
    improved. Lastly, there is little difference between the experience of map navigation and the
    experience without any navigation.
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    Research on IFC-Based Storage and Application of Sensor Information
    HU Zhenzhong1, TIAN Peilong1, LI Jiulin2
    2018, 39(3): 522-529.  DOI: 10.11996/JG.j.2095-302X.2018030522
    Abstract ( 86 )   PDF (3266KB) ( 140 )  
    There are a lot of sensor data collected in the construction, operation and maintenance of
    buildings, but these data only existed in the respective monitoring systems, leading to a situation of
    “information island”, thus the sensor data cannot be effectively used. BIM (building information
    model/modeling) technology can implement integrated management and application of sensor data
    and engineering data. The IFC (industrial foundation classes) standard which is an international
    standard for BIM storage, is still not sufficient for sensors and their data. In this paper, IFC-based
    sensor information storage method and application process are presented. Specifically, the description
    and association mechanism of sensor information in IFC are analyzed, followed by the extension of
    IFC property set to achieve the storage of such information. Finally, the IFC-based application
    process of sensor information is described. The proposed methods were applied to the HuaiFang
    Water Reclamation Plant in Beijing for validation.
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    IFC and gbXML Based Test and Evaluation for the Interoperability Between BIM Modeling Software and Green Building Performance Analysis Software
    CHEN Yuan, KANG Hong, FAN Yunchang
    2018, 39(3): 530-537.  DOI: 10.11996/JG.j.2095-302X.2018030530
    Abstract ( 106 )   PDF (2318KB) ( 139 )  
    Green building and building energy conservation are important factors in the sustainable
    development of the construction industry. However, BIM (building information modeling) has a wide
    range of software and various data standards, and loss of information is frequent during the data
    transfer. Thus solving the “information island” problem and the interoperability issues between
    different software is the key for BIM application. This paper first analyzes the green building
    framework based on IFC (industrial foundation classes) and gbXML standards, and chooses BIM
    modeling software ArchiCAD and green building performance analysis software Ecotec to test and
    evaluate the interoperability, so as to identify the problems of BIM data standards and BIM tools in
    the process of BIM data transfer. The paper provides specific improvement methods and suggestions
    to solve the problems, including reducing the information redundancy for IFC formats, increasing the
    support to green building area in the IFC standard, and improving the accuracy for the definition of
    green building information in the IFC resource layer.
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    Research on Production Information Model of Prefabricated Components Based on IFC Standard
    GAO Qiuya1,2, GAO Xinwen1,3
    2018, 39(3): 538-546.  DOI: 10.11996/JG.j.2095-302X.2018030538
    Abstract ( 56 )   PDF (778KB) ( 146 )  
    This paper is based on the research of BIM mainstream standard IFC (industrial foundation
    classes), which has been developing rapidly in recent years. According to the data sharing
    requirement of prefabricated components, the production information organization and expression
    mode of prefabricated components are studied. In accordance with the IFC standard, this paper
    divides the information of the prefabricated components in the production stage into product
    information, process information, resource information, cost information and site information, and
    establishes the information model of prefabricated components based on IFC standard. Finally, this
    paper gives a concrete example of applying the information model of prefabricated components. The
    result shows that the information model can effectively improve the management of data information
    and the cooperative production efficiency.
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    Research on Product Imagery Design by Simulating Design Thinking
    SU Jianning, ZHAO Xinxin, JING Nan, CHEN Yanhao
    2018, 39(3): 547-552.  DOI: 10.11996/JG.j.2095-302X.2018030547
    Abstract ( 66 )   PDF (791KB) ( 130 )  
    In order to enhance the efficiency and quality in product imagery design, an auxiliary
    method of simulating the design thinking process is proposed. Through the experiment on conception
    of the product imagery, the designer’s design thinking is analyzed. The design activity can be divided
    into three parts: analyzing proposition, generating creative solution and optimizing creative solution.
    For the key node strategy, the corresponding simulation model is established using AHP, directed
    similarity method, approaching ideal solution, neural network, genetic algorithm and so on. Finally,
    the effectiveness of the method is verified by the design scheme of the retro-styled faucet.
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    On Human-Like Motion Planning Algorithm of Anthropomorphic Mechanical Arms Based on Hierarchical Planning Strategy
    WANG Chunrong1, XIA Erdong1, ZHAO Jing2, XIONG Changjiong1, LIU Jianjun1, WEI Yuan3
    2018, 39(3): 553-561.  DOI: 10.11996/JG.j.2095-302X.2018030553
    Abstract ( 63 )   PDF (3732KB) ( 185 )  
    In order to make anthropomorphic mechanical arms generate human-like movements
    accurately, a novel human-like motion planning method is proposed, which combines the trigger
    conditions and hierarchical planning strategy (HPS). The method decomposes the complete arm
    movements into a set of different motion processes, each of which has corresponding planning
    hierarchies. The anthropomorphic mechanical arms reveal different characteristics in different
    planning hierarchies. The motion models and posture prediction indicators in varying planning
    hierarchies are built based on the respective characteristics to predict the postures of anthropomorphic
    mechanical arms. The experiment is acted on humanoid robot NAO as the platform, and then the
    prediction results of static and dynamic arm postures is performed by the proposed method and the
    minimum total potential energy (MTPE) are compared. In addition, the prediction results are compared with the real arm motion data collected by motion capture system (OptiTrack). The
    experimental results show that the errors of static and dynamic posture prediction of proposed method
    could be reduced, and the anthropomorphic mechanical arms can generate the human-like movements
    accurately through the proposed method.
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    A Sequential Positioning Algorithm for Problem of Circular Parts Coiled Sheet Packing
    LU Tao1, PAN Weiping2
    2018, 39(3): 562-566.  DOI: 10.11996/JG.j.2095-302X.2018030562
    Abstract ( 63 )   PDF (282KB) ( 99 )  
    The problem of circular parts coiled sheet packing means that a set of different radius
    circular parts are non-overlappingly packed on the coiled sheet with specified width, so that the
    occupied length of the coiled sheet is minimized. To solve this problem, a sequential positioning
    heuristic optimization algorithm is proposed. A positioning algorithm is designed based on maximum
    caving degree. For each particular packing sequence, caving degrees of all feasible placement
    location of circular parts are calculated, and the location which has the highest caving degree is
    selected to pack the circular part. The current layout is updated, and the packing of the residual
    circular parts is continued, according to the above rule until all of circular parts are packed into the
    coiled sheet. Genetic algorithm is employed to evolve the packing sequence, in order to obtain a great
    number of different packing schemes, and the packing scheme with the minimum coiled sheet length
    is chosen as the final solution. The experimental results show that the algorithm scheduling scheme of
    this paper consumes less coil length, and the calculation time of the algorithm is relatively reasonable.
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    On Layout Optimization Based on Genetic Simulated Annealing Algorithm
    ZHOU Jiazhi, YIN Ling, ZHANG Sumin
    2018, 39(3): 567-572.  DOI: 10.11996/JG.j.2095-302X.2018030567
    Abstract ( 69 )   PDF (323KB) ( 151 )  
    Based on the integration of the genetic algorithm (GA) and the simulated annealing
    algorithm, an improved lowest horizontal line (ILHL) algorithm is presented in order to improve
    utilization and stability of the rectangular packing algorithm. In this algorithm, a signed decimal
    encoding is utilized to generate the gene sequence in accordance with the length-width ratio and the
    area of the rectangle, which is employed to establish the initial population. The improved lowest
    horizontal line algorithm adopts the best individuals from a number of random sequences with
    different nesting orders and layout sizes, uses utilization rate as the fitness function and reduces the
    idle area. In this paper, a contrast experiment is operated to compare ten groups of rectangular data
    randomly generated by ILHL with those generated by GA proposed in the current literature. The
    experiment results show that our algorithm (ILHL) can effectively improve the utilization rate and
    time efficiency of the packing results.
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    Research on Visual Customization Based on SolidWorks
    FAN Dejun1,2, WEN Jingsong1,2, XU Yong1,2, SONG Jian1,2
    2018, 39(3): 573-578.  DOI: 10.11996/JG.j.2095-302X.2018030573
    Abstract ( 60 )   PDF (481KB) ( 130 )  
    In order to solve the problem of real-time automatic assembly and interactive browsing in
    visual customization system, an automatic assembly method based on secondary development of
    SolidWorks in network environment is proposed. User defined customized solutions on the web page
    and a remote communication between a server and a server that has a fixed connection. The automatic
    assembly program secondary development of SolidWorks installed on the host. The server automatic
    assembly program remote boot on the host and receive the complete assembly of eDrawings files. The
    3D model is fed back to the web page. The user can browse the web page in the realization of virtual
    interaction. This method can realize the real time automatic assembly and virtual interaction of the 3D
    model under the multi choice scheme.
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    Progressive Fractal Facilitation Teaching Method for Composite Solid Dimensioning
    LIU Yu1, ZHOU Jiawei2
    2018, 39(3): 579-586.  DOI: 10.11996/JG.j.2095-302X.2018030579
    Abstract ( 46 )   PDF (578KB) ( 141 )  
    Composite solid dimensioning is of great significance and difficulty in engineering
    graphics teaching. A progressive fractal facilitation teaching method is proposed based on the
    coherence of dimensioning and the shape decomposition of composite solid. The fractal facilitation
    method is employed in each step to decompose the complicated composite solid into simple one,
    through the progressive teaching method by means of taking into account the similarity of geometric
    solid. The iteration rule for the fractal facilitation method of dimensioning can be referred to as
    decomposing, shaping, locating and merging, which is corresponding to steps of decomposing the
    composite solid, ascertaining the number of shape size, ensuring the number of location size, and
    merging the repetition sizes. Three principles of dimensioning de-duplication have to be identified,
    and the fractal facilitation method for dimensioning is applied, in terms of different composite solids.
    The application of the progressive fractal facilitation method of dimensioning can take full advantage
    of the similarity of geometric solid, and lead students to accomplish the dimensioning of composite
    solid gradually, thus attaining a correct and complete dimensioning of composite solid.
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    The Assistant Learning System of Engineering Drawing Based on Mobile Augmented Reality
    HOU Shouming1,2, LIAN Panpan1, XU Wenpeng1, CHEN Keyao1
    2018, 39(3): 587-593.  DOI: 10.11996/JG.j.2095-302X.2018030587
    Abstract ( 67 )   PDF (2374KB) ( 146 )  
    In the course of engineering drawing, it is a great challenge for beginners to conceive
    three-dimensional shapes on two-dimensional drawings. This paper analyzes the shortages of
    traditional PC-based multimedia-assisted teaching methods in interactivity and convenience, and
    proposes an engineering drawing system based on mobile augmented reality. This system adopts the
    unmarked recognition technology to realize the natural interaction between engineering drawings and
    three-dimensional digital models, on the basis of which, an assistent learning application with
    multifunction has been developed. Users can use the cellphone camera to scan and identify the
    two-dimensional engineering drawings and overlapping display of three-dimensional models, and
    other teaching resources are also supported on the phone. Users can also zoom in or rotate the models,
    and disassemble and assemble those complicated assembly models. The result shows that the system
    is not only convenient for students’ autonomous learning, but also helpful in improving the teaching
    environment of engineering drawing courses.
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    Innovation Ability Training Oriented Course Project of Engineering Graphics Reformation for Undergraduates
    ZHANG Zongbo, WANG Min, LIU Yancong, YI Peng, LI Jing, NIU Wenjie
    2018, 39(3): 594-598.  DOI: 10.11996/JG.j.2095-302X.2018030594
    Abstract ( 62 )   PDF (3956KB) ( 152 )  
    Training of human resource with high self-renovation capability is concerning with the
    improvement of the core competitiveness of the nation and the development of advanced
    manufacturing technology. The most important platforms for self-renovation capability training in our
    country is higher education. The current situation of course project of engineering graphics is
    analyzed and the common problems are proposed. According with the teaching practice of our team,
    the teaching method, the management and examination system of the he project teaching was
    reformed. All these can help release the contradiction between less teaching hours and more work of
    drawing. The results proved that it is a beneficial exploration on practical capability and
    self-renovation capability training for undergraduates.
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    Configuration Design for Assembly of Congruent Geometric Figure Based on Two-Sided Projection
    MENG Xiangbao, WANG Yankun, DONG Zhengrong
    2018, 39(3): 599-604.  DOI: 10.11996/JG.j.2095-302X.2018030599
    Abstract ( 95 )   PDF (1836KB) ( 145 )  
    Projection analysis and configuration design of assembly constitute one of the essential
    contents in engineering graphics course. It lays foundation for engineers to read technical drawings,
    and design details of geometric structures of machine parts. For this purpose, a series of example are
    shown based on isosceles triangles, isosceles right triangles, squares, circles, and combinations of
    squares as two-sided projection. And spatial divergence conception is worked out by means of
    line-surface and shape-volume analysis of basic units as prism, pyramid, cylinder, cone, sphere and
    torus. In result, assembly of various geometric shapes and the third projection are derived. 3D
    geometric models are implemented using CATIA software. It strengthens the ability of spatial
    ideation, provides fundamental samples for geometric configuration design, and enhances logicality
    and interestingness in the process of projection analysis.
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    Thought on the Teaching Reformation of the Engineering Drawing Combined with the Internet Plus Based on the Massive Open Online Course
    WANG Xiaofei1,2, MU Haozhi1,2, XUE Lijun1,2, NIU Xinghua3
    2018, 39(3): 605-609.  DOI: 10.11996/JG.j.2095-302X.2018030605
    Abstract ( 72 )   PDF (1431KB) ( 215 )  
    With the progress of the times, people can acquire information at any time and any place.
    The massive open online course (MOOC), a novel teaching method, can present knowledge in real
    time and multidimensional mode. MOOC idea conforms to the information times, and accords with
    the thinking characteristics and personality traits of contemporary students. Considering the present
    situation in higher education, we can change the traditional teaching method that is employed on the
    engineering drawing course in the university by integrating MOOC idea therein. The thinking on the
    teaching reformation of engineering drawing course based on MOOC idea is presented in this paper.
    In the teaching process of the engineering drawing course, it is necessary to make full use of the
    internet advantages. The practice of classroom teaching combined with internet plus makes
    continuous progress in engineering drawing teaching. Our practices show that the new teaching style
    “internet plus” for the engineering drawing course can expand teaching time and space, and is well
    welcomed by all students.
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