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30 April 2017, Volume 38 Issue 2 Previous Issue    Next Issue

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Feature Extraction from Unorganized Point Cloud Based on Analytical Tensor Voting LIN Hongbin, WANG Wei, SHAO Yanchuan, LEI Dong 2017, 38(2): 137-143.  DOI: 10.11996/JG.j.2095-302X.2017020137 Abstract ( 229 )   PDF (1237KB) ( 401 )   A novel analytical tensor voting algorithm was proposed to reduce the complexity and heavy computational burden in traditional tensor voting for extracting featured points from unorganized point cloud. Firstly, basic thoughts of tensor voting theory were investigated, shortcomings and corresponding reasons were analyzed. Secondly, new voting mechanism for stick tensor was proposed and the analytical solution to proposed stick tensor voting mechanism was solved. Owing to the analytical stick tensor voting being independent of particular reference coordinates system, mechanisms for plate tensor voting and ball tensor voting were proposed and the analytical solutions were also solved. Thus, the problems of iterated numerical approximation, complicate computational process and the confliction between accuracy and efficiency in traditional tensor voting, which were caused by the lack of analytical solutions, were soundly solved. Then, the tensor of unorganized point cloud was decomposed. The feature points were extracted according to significance eigenvalue. At last, the correctness, accuracy and efficiency of the proposed algorithm were validated through simulated analysis and comparative experimental results, the proposed method can extract feature points from unorganized point cloud robustly. Related Articles | Metrics

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G1 Shape-Preserving Polynomial Interpolation Curves YAN Lanlan1, HAN Xuli2, LI Shuiping1 2017, 38(2): 144-154.  DOI: 10.11996/JG.j.2095-302X.2017020144 Abstract ( 63 )   PDF (3223KB) ( 185 )   This article aims to construct a shape-preserving polynomial interpolation curve. Firstly, a set of cubic polynomial functions with parameters in literature is proved to be a totally positive basis. With this basis, we then define a piecewise interpolation polynomial curve with two local shape parameters. The curve has G1 continuity at the join points. The sufficient conditions for the interpolation curve to be positivity-preserving, monotonicity-preserving and convexity-preserving are given. These conditions restrict the relationship between the two local shape parameters. By transformation, no matter what kind of shape characteristic the interpolation curve of the data points keeps, each segment still has two independent shape parameters. When the data points are both positive and monotonous, just considering the monotonicity-preserving conditions, we can obtain the interpolation curve not only monotonicity-preserving but also positivity-preserving. When the data points are both monotonous and convex, just considering the convexity-preserving conditions, we can obtain the interpolation curve not only convexity-preserving but also monotonicity-preserving. When the data points are positive, monotonous and convex, just considering the convexity-preserving conditions, we can get the interpolation curve with positivity-preserving, monotonicity-preserving, and convexity-preserving simultaneously. The interpolation curve is proved to be bounded and its error is estimated. Related Articles | Metrics

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Eigenvector-Based Watermarking for 3D Mesh Models LI Shiqun, LI Guiqing, XIAN Chuhua 2017, 38(2): 155-161.  DOI: 10.11996/JG.j.2095-302X.2017020155 Abstract ( 63 )   PDF (916KB) ( 193 )   In order to embed a high capacity of the watermarks into a 3D mesh model, this paper proposes a novel semi-blind watermark algorithm based on Tutte Laplacian eigenvectors. In the process of embedding watermarks, it first computes the Tutte Laplacian matrix and then obtains eigenvectors of the matrix. A watermark is then embedded into these eigenvectors. To reduce the distortion of the embedded models, we formulate the selection of entries of the eigenvector matrix to be modified as an optimization issue and then design a heuristic method to solve the problem. During the extraction process, we detect the watermark information by using the modified eigenvectors minus the corresponding eigenvectors calculated from the watermarked model. As for models with large number of vertices, the spectral cluster algorithm is used by cutting those mesh models into sub-meshes. The watermark is repeatedly embedded into each sub-mesh. The proposed method can semi-blindly detect the watermark in the sense that it doesn’t need the original model in the extracting process. The experimental results show that the proposed method can not only resist attacks such as affine transformation, random additive noise, mesh smoothing, uniform quantization as well as cropping but also outperform state-of-the-art approaches in embedding capacity. Related Articles | Metrics

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2D to 3D: 3D Complex Mechanical Objects Generation from 2D Line Drawings MIAO Yongwei1,2, FENG Xiaohong2, LIN Haibin2, ZHANG Xudong2, GAO Fei2 2017, 38(2): 162-169.  DOI: 10.11996/JG.j.2095-302X.2017020162 Abstract ( 138 )   PDF (1488KB) ( 644 )   In the literature of computer-aided conceptual design and computer graphics, the 3D reconstruction of geometric solids from single 2D line drawings provides the user an easy way for efficiently generating new complex objects. According to a user input 2D line drawings that may include not only straight sketch lines but also sketch curves, an efficient and convenient reconstruction approach of 3D complex mechanical objects is presented in this paper that may contain the ribbon-like faces, inner cylindrical faces and hollow polygonal faces, etc. Due to the pre-defined assumption that the given 2D line drawings is a single parallel projection of 3D shapes, our reconstruction technique firstly introduces a series of input rules for efficiently interpreting the user input 2D line drawings and thus recognizing the topological structure of the geometric solids. Then, the algorithm computes the accurate 3D coordinate information of vertices by using cubic corner theory. Based on the user specified topological information of 2D line drawings, the complex mechanical objects are finally reconstructed and represented as triangular meshes. Experimental results demonstrate that our reconstruction scheme can efficiently generate the comparatively complex geometric solids in a deterministic manner, especially for 3D complex mechanical objects. Related Articles | Metrics

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Method for Solving Geodesic Line on Revolving Surface MA Huixian, ZHENG Pengfei, ZHAO Judi 2017, 38(2): 170-173.  DOI: 10.11996/JG.j.2095-302X.2017020170 Abstract ( 49 )   PDF (572KB) ( 158 )   When the boundary conditions of the two ends of the geodesic lines on the revolving surface are given, according to the Clairant theorem, a kind of shape, number and computer combination method is designed. To avoid the abstraction and complexity of the traditional solution of partial differential equations, the corresponding mathematical model based on the mapping process is established, and finally the geodesic line is drawn. The proposed method is suitable for the revolving surface, which possesses the advantages of visual image, controllable precision, stable and reliable. Related Articles | Metrics

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Rolling Bearing Fault Feature Extraction Based on Variational Mode Decomposition-Wavelet Packet Transform and Energy Operator Demodulation MA Zengqiang, LIU Xiaoyun, LI Yanzhong, ZHANG Junjia 2017, 38(2): 174-179.  DOI: 10.11996/JG.j.2095-302X.2017020174 Abstract ( 260 )   PDF (992KB) ( 181 )   In order to solve the problems that the fault feature of rolling bearing in early failure period is difficult to extract, an incipient fault diagnosis method for rolling bearing based on variational mode decomposition (VMD) and wavelet packet transform (WPT) was proposed. The variational mode decomposition was firstly used to decompose the multi-component signal into a number of intrinsic mode functions (IMF), and then the IMFS of the maximum kurtosis were selected to form the new information based on Kurtosis Criterion. Finally, the new signal was decomposed and reconstructed by adopting wavelet packet transform, after that, the energy of every frequency band was calculated, and the frequency band with the maximal signal was chosen and demodulated into energy spectrum with Teager energy operator demodulation method. In order to verify the effectiveness of the proposed method, practical engineering experiments had been carried out and the effect was compared with the EEMD-WPT method for rolling bearing inner fault signals. The results show that compared with the other method, the proposed method can not only reduces the effect of noise but also implement accurate diagnosis. Related Articles | Metrics

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Precise 3D Parametric Modeling for Cylindrical Helical Gear Based on Protoolkit XIAO Yang, JIN Fanyao, ZHENG Yan, ZHANG Tingting, WANG Yi 2017, 38(2): 180-184.  DOI: 10.11996/JG.j.2095-302X.2017020180 Abstract ( 81 )   PDF (605KB) ( 173 )   In CAD/CAM/CAE, the three-dimensional modeling of mechanical products is the key foundation, its precision and quality determine the quality of the other follow-up design, analysis, manufacturing and other processes. In this paper discussed are the cylindrical gear in a helical gear tooth profile surface, accurate expression, generation method in the three-dimensional CAD software Pro/Engineer and in Pro/Engineer to C language interface Protoolkit, form and structure characteristics of helical gear expression in Pro/Engineer, operation, treatment function and application development methods. And taking this as an example, a 3D parametric design system of cylindrical helical gear is designed.   Related Articles | Metrics

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Research on Standard Manufacturing Services Modeling in Cloud Manufacturing TONG Xiaowei1, ZHU Jiezhi2 2017, 38(2): 185-191.  DOI: 10.11996/JG.j.2095-302X.2017020185 Abstract ( 73 )   PDF (856KB) ( 169 )   A modeling framework for the standard manufacturing services of the product in full life-cycle is proposed in this paper, which is referring to the commonly used bill of material technology in product data management and applicable to the cloud manufacturing environment, and the two phases dynamic modeling process of this method is applied. The dynamic construction of the standard manufacturing services modeling is realized based on the improved Apriori algorithm, which can take into account the reality of market demand and manufacturing capacity distribution. Finally, the process of the standard manufacturing services modeling is described in the main parts of a typical mechanical and electrical products wheeled loader as an example, and the feasibility and rationality of the method of standard manufacturing services modeling is verified. Related Articles | Metrics

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The Comfort Evaluation in Civil Aircraft Cabin Based on Objective and Subjective Weighting Method LIU Jing1,2, YU Suihuai2, CHU Jianjie2 2017, 38(2): 192-197.  DOI: 10.11996/JG.j.2095-302X.2017020192 Abstract ( 123 )   PDF (639KB) ( 225 )   Aiming at the current problem lacking of quantitative comfort evaluation method, a multistage fuzzy comprehensive evaluation method based on DEMATEL-entropy is proposed to quantify the comfort evaluation in civil aircraft cabin. At first, on the base of relevant passenger comfort survey, a multistage evaluation indicator system is built. And then a comprehensive weight assigning method is proposed, which combined the subjective method-DEMATEL with the objective one-entropy method. It could reflect and quantify the importance of indicators by analyzing the inner casual relationship between them. The comprehensive weight obtained with this method could reflect the importance of indicators objectively and reasonably. In order to solve the fuzziness and subjectivity problem of evaluation language, criteria and process, a multistage fuzzy comprehensive evaluation method is adopted to assess the comfort in civil aircraft cabin. Finally, a more objective and quantitative result is obtained, which can give a feedback and direction to the designers. It is proved to be an effective method. Related Articles | Metrics

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Adaptive Visual Tracking Based on the Correlation Filter LI Zongmin1, WANG Guorui1, LIU Yujie1, LI Hua2 2017, 38(2): 198-203.  DOI: 10.11996/JG.j.2095-302X.2017020198 Abstract ( 83 )   PDF (935KB) ( 229 )   Aiming at addressing the problem that traditional kernel correlation filter (KCF) algorithm often fails in occlusion cases, we proposed an adaptive kernel correlation filter algorithm which can enhance the target edge. First we employ kernel correlation filter to find the location of target. Then we enhance the edge of location area in order to make the target characteristics more outstanding and improve the classifier performance. At last, we calculate the response of the target location intensity vector to change the template parameters adaptively. In experiments, we selected 15 sets of challenging public video sequences to test the effectiveness of our method. compared with the KCF algorithm which is best in existing correlation filters, the center position error of our method reduced 9.6 pixels, the average success rate increased by 7.55% and the average distance precision increased by 21.62%. The experiment’s results show that the proposed algorithm has strong adaptability in obscured, rotating and rapid complex conditions. Furthermore, it has important theory research and application value. Related Articles | Metrics

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Diffusion-Based Image Saliency Detection LIU Yujie1, FENG Jiangli1, LI Zongmin1, LI Hua2 2017, 38(2): 204-210.  DOI: 10.11996/JG.j.2095-302X.2017020204 Abstract ( 89 )   PDF (1254KB) ( 252 )   Diffusion-based saliency detection is one of many methods about image saliency detection. The key is how to choose these seeds and propagate their saliency. Given the unconspicuous difference of color and contrast between the background and the salient object, the erroneous seeds may be selected. Finally, these wrong seeds could affect the quality of saliency map. In this paper, we propose a novel seeds detection approach that take advantage of saliency map. By taking regularized random walk and manifold ranking into account, the saliency map of an image is then estimated. Experimental result demonstrates the proposed method performs well and provide pixel-wised saliency map. Related Articles | Metrics

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A Template Tracking Algorithm Based on Active Drift Correction HAN Xiaowei1, LU Zheng2, DU Yingkui1 2017, 38(2): 211-216.  DOI: 10.11996/JG.j.2095-302X.2017020211 Abstract ( 58 )   PDF (950KB) ( 165 )   For the traditional problems of template drift and the low efficiency of algorithms in video image target tracking applications, a new template tracking algorithm based on active drift correction is proposed. The algorithm incorporates a drift correction term and a target tracking term. By adding a drift correction term into the traditional affine image alignment algorithms, it improved the traditional expression of target tracking and also it has solved the template drift problem and increased the robustness of the algorithm. The results show that the new algorithm has higher operation efficiency and better robustness. Related Articles | Metrics

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Low Illumination Image Enhancement Algorithm Based on HSI Color Space SONG Ruixia1, LI Da1, WANG Xiaochun2 2017, 38(2): 217-223.  DOI: 10.11996/JG.j.2095-302X.2017020217 Abstract ( 349 )   PDF (1103KB) ( 383 )   To improve the quality of low illumination image, a new image enhancement algorithm based on HSI color space is proposed. First, we convert the RGB image into the HSI color space, and then perform enhancement to the saturation S and brightness I respectively with different methods. To make the image more suitable for human visual habit, piecewise exponential transformation is used for the enhancement of the saturation component S. While the V-system, a new orthogonal multi-wavelet, is introduced for the enhancement of the luminance component I. First, we perform V-transform to the luminance I to isolate the high, low frequency sub-bands. And then process Retinex adjustment to the low-frequency sub-band to reduce the influences of illumination to the image, while we use improved fuzzy enhancement to the high frequency sub-band to achieve image denoising and enhancement. Finally, the processed S, I and H components are synthesized into a clear RGB image. The experiment results show that our algorithm can obviously improve the visual effect of the low illumination color image, and also has significant improvement in the objective evaluation indexes. Related Articles | Metrics

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An Iris Matching Algorithm Based on Weighted Phase Difference JIANG Linhua1, LI Xiaoli1, LIN Xiao1,2,3, LIU Cong1, DUAN Yixiao1, LI Yuanchen3 2017, 38(2): 224-229.  DOI: 10.11996/JG.j.2095-302X.2017020224 Abstract ( 93 )   PDF (796KB) ( 188 )   Iris recognition technology is one of the most promising biological recognition technologies. As the core procedure of iris recognition, matching and evaluation directly affect the accuracy of iris recognition. In this paper, a novel iris matching algorithm based on the weighted phase difference is proposed. The key steps of iris recognition are: First, resample the iris image which is well located. Second, normalize the resampling points to obtain a rectangular iris image. Then, process the iris image in Fourier space. Finally, the newly suggested algorithm utilizes all the phase information of the iris image and partial amplitude information to do irises matching procedure. Iris texture information is mainly concentrated to the pupil, where the texture information is rather intensive. Here, we propose a novel method based on the weighted function of phase difference, which can effectively highlight the intensive iris texture information in the low frequency part and improve the matching efficiency. The experimental results show that the algorithm we propose improves greatly in accuracy and computation speed, which is a good substitute for the core procedure of iris matching and evaluation. Related Articles | Metrics

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Research on Intelligent Monitoring and Warning Method of Belt Conveyor LI Zhanli, CHEN Jiaying, LI Hongan, LI Huilin, ZHAO Wenbo 2017, 38(2): 230-235.  DOI: 10.11996/JG.j.2095-302X.2017020230 Abstract ( 102 )   PDF (1032KB) ( 253 )   To resolve the problem of belt conveyor’s belt running deviation and distortion, we propose an intelligent monitoring and warning method of belt conveyor based on visual computing. Firstly, the video images of belt conveyor in coal mine are preprocessed and the Gaussian Filter is used to establish the background model. Then, the background subtraction method is applied to get the target image. Secondly, the Shi-Tomasi algorithm is used to detect the corners of the target image and these corners are tracked by the method of Pyramid LK optical. Finally, these corners’ coordinates are converted from the image coordinate system to camera coordinate system according to the principles of imaging. And we can get the speed of these corners and judge whether the belt conveyor is in a good condition or not according to the corners’ speed and then send out some warning information in time when the running belt conveyor is abnormal. The experimental results show that the proposed method has higher veracity and real time quality. Related Articles | Metrics

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Influence Analysis of Key Equipments for Camera Calibration Accuracy ZHENG Dongmei, SONG Wenai 2017, 38(2): 236-240.  DOI: 10.11996/JG.j.2095-302X.2017020236 Abstract ( 247 )   PDF (580KB) ( 244 )   This article introduces a group of experiments of grouping contrast calibration that intends to show how camera and calibration board, the two key equipments of camera calibration, impact the accuracy of camera calibration. In these experiments, first, we made three plane calibration boards, which were sized A2, A3, A4, respectively. Second, we chose four different types of digital camera and collected 240 pieces of checkerboard calibration plate images by using it. Last, according to the principal (or theory) of camera pinhole model, we conducted the camera calibration experiments by using the MATLAB camera calibration tool. The results of these experiments show that the camera calibration accuracy is very different while using different sizes of calibration board. From the results, we can see that the A3 calibration board is the best method for calibrating CCD camera which has the smallest resolution since the error of the average values were less than 0.1 pixel. The results of these experiments have important value for choosing camera and calibration board in computer vision research. Related Articles | Metrics

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A Registration Method of Multi Channel Parallel Simultaneous Polarization Imaging YANG Fan1,2, QIAN Lizhi1 2017, 38(2): 241-246.  DOI: 10.11996/JG.j.2095-302X.2017020241 Abstract ( 82 )   PDF (1150KB) ( 183 )   In order to solve the problem of imaging deviation caused by the different position of optical axis of multi channel parallel simultaneous polarization imaging system, a multi source image fusion optical front-end is designed to research real time image registration of three different coordinates’ polarization images. First, we install a light wedge within the system structure based on the parallel optical axis. Then we calculate the imaging parallax of different field image and obtain the parameters of affine transformation that correspond with each pixel of three directions polarization image. According to the parameters, a pixel matching table storage was established. At last we call affinity address and the corresponding weights by looking-up the table directly to complete three directions polarization image registration. Experimental results indicate that this design can accurately achieve the three directions polarization image registration in real-time, it avoid pseudo polarization phenomenon which caused by deviation of the source images. The polarization image which is obtained after registration can accurately reflect the polarization information of objectives, and it can also register the polarization images in real time. Related Articles | Metrics

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Remote Sensing Image Fusion Method Based on PCA and NSCT Transform JI Feng, LI Zeren, CHANG Xia, WU Zhiliang 2017, 38(2): 247-252.  DOI: 10.11996/JG.j.2095-302X.2017020247 Abstract ( 147 )   PDF (1112KB) ( 307 )   In order to improve the problem of the lack of detailed information in expression of image using non-subsampled Contourlet transform (NSCT), this paper proposes an improved method based on principal component analysis (PCA) and NSCT transform remote sensing image fusion. Firstly, PCA transform is applied to the low spatial resolution multi-spectral (MS) image, and then the first principal component (PC1) is extracted. Secondly, NSCT transform is applied to the PC1 and the high spatial resolution panchromatic (PAN) image. For the low frequency coefficients of the above two, the rules of wavelet transform fusion are used, and for the high frequency coefficients the adaptive weighted fusion rules based on region standard deviation are used. Finally, we get the fusion image by using inverse NSCT transform and inverse PCA transform. The results show that the method combines the detail information of the source image effectively, and also get better visual effect and better evaluation index. Related Articles | Metrics

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A Quality Assessment Method of Infrared Reconnaissance Images LU Wenjun, LI Congli, XUE Song 2017, 38(2): 253-258.  DOI: 10.11996/JG.j.2095-302X.2017020253 Abstract ( 73 )   PDF (978KB) ( 185 )   No reference image quality assessment is still one of the most challenging areas in computer vision. As forming mechanism constraints, infrared reconnaissance image quality is less than visible light images. Low quality will severely hinder efficiency of subsequent image processing and surveillance, an accurate assessment of image quality is the key link. To this end, we study and extract the ability to characterize the infrared radiation characteristic contours, textures, and point features, construct infrared image quality evaluation model based on mixing characteristics and significance detecting. And we test the result by taking infrared reconnaissance image as a sample and subjective evaluation as a measure of reference. For the relevant experiments, the results show that the method is more competitive than classical method and it can be used to evaluate the quality of infrared reconnaissance images. Related Articles | Metrics

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Retargeting of Heterogeneous Document to Improve Reading Experience LIN Juncong, ZHANG Guangyu, GAO Xing, LIAO Minghong 2017, 38(2): 259-266.  DOI: 10.11996/JG.j.2095-302X.2017020259 Abstract ( 60 )   PDF (1531KB) ( 171 )   People rely more and more on mobile devices to read various digital contents. The variation on parameters such as screen resolution, aspect ratio of these devices presents new challenges on digital content processing. Image retargeting has become popular in the past decade. Various content-aware methods are presented to reduce the distortion of important object when the image is scaled. However, for those bitmap represented heterogeneous documents which contains various elements, due to the high resolution, it can only be partially displayed on devices with small screen region. Frequently switch between scale and translate are required to read the whole document, which obviously affect user’s reading experience. We propose a retargeting method for heterogeneous document. We firstly analysis the layout of document in a local manner, and then extract the appropriate rectangular reading area and resize it to match the screen. Our method avoids the tedious scale and translation operations, and thus improves the reading experience greatly. Related Articles | Metrics

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Sketch-Based Three-Dimensional Model Retrieval Based on Leap Motion QIAN Lu1,2, FAN Yachun1,2, ZHOU Mingquan1,2, LUAN Hua1,2, REN Pu1,2 2017, 38(2): 267-277.  DOI: 10.11996/JG.j.2095-302X.2017020267 Abstract ( 133 )   PDF (1311KB) ( 264 )   The demand of 3D model retrieval is increasing, and the sketch-based method has been proved to be the most effective and efficient approach to retrieve 3D models. In order to get better experience on sketch retrieval, it’s necessary to focus on the way of human-computer interaction as well as improve it. The Leap Motion sensor can detect the position information of fingers and gestures with high precision in real-time, which makes volume interaction with large screen at long-distance more effective. In this paper, an extended manifold ranking method based on Leap Motion is presented as a new retrieval framework. The sketch drawing and model retrieval processes are realized by obtaining data of hands from Leap Motion to the browser. In the process of sketch retrieval, manifold ranking is proposed to rank on similarities between models combining with semantic classification as a constraint, thus improving the ranking score of models belong to the same classification. Experiments have demonstrated that the proposed method makes the sketch retrieval more closable and convenient to the user as well as improves the accuracy of 3D model retrieval. Related Articles | Metrics

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Accuracy Analysis of a Planar Mechanism Based on Virtual Model Technology ZHANG Ruiqiu, ZHANG Xuchong, SUN Wei 2017, 38(2): 278-282.  DOI: 10.11996/JG.j.2095-302X.2017020278 Abstract ( 66 )   PDF (1176KB) ( 199 )   Joint clearances are unavoidable in real mechanical systems, and they will become larger because of the friction and wear, leading to the kinemics and dynamics of the system become worse gradually. Based on the 3D modeling software SolidWorks and the virtual simulation software ADAMS, a planar mechanism with joint clearance is built, and dynamic simulations are done. Further more, the friction and wear of the joint are taken into consideration, the wear depth is calculated by the Matlab offline using the data obtained from ADAMS, the time-varying joint clearances are then obtained. In return, the updated joint clearances are imported into the ADAMS model, thus the changes of the moving accuracy of the mechanism are observed. The results show that, the wearing regions of the clearance joint are nonuniformly distributed, the moving accuracy and dynamic performance of the mechanism are gradually worse with the time. Related Articles | Metrics

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Practice and Design of Bilingual Teaching Mode with Regarding Students Principal in Engineering Drawing CHEN Ping, LIU Shuodi, XU Qian 2017, 38(2): 283-288.  DOI: 10.11996/JG.j.2095-302X.2017020283 Abstract ( 93 )   PDF (601KB) ( 256 )   With the increasing international cooperation and the intense trend of global competition, education, which is an important field, plays a huge role now. Bilingual teaching mode has been introduced and strengthened in many universities all around China. In order to cater to the globalized engineering tendency, the reform of bilingual teaching mode is in great demand. This article conducts an example of combining bilingual teaching mode with regarding students principle in engineering drawing through these years, discovering and analyzing the effective bilingual teaching mode of engineering drawing, also raising improved questions about further engineering education. Related Articles | Metrics

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Model Establishment and Experimental Verification of Hypoid Equal Addendum Gear Based on Sweep Forming Method XU Jinli, YANG Zaiyu, LU Hao 2017, 38(2): 289-296.  DOI: 10.11996/JG.j.2095-302X.2017020289 Abstract ( 56 )   PDF (1304KB) ( 178 )   This paper uses sweep forming method for high precision modeling of the main reducer hypoid equal addendum gears. In order to analyse the influence of different helix angles on vibration of the main reducer, the Adams software is used to determine the best helix angle interval. And the correctness of the simulation analysis is verified by the experiment, the validity of the sweep forming method is also proved. This paper provides a reference for the modeling and analysis of hypoid equal addendum gear. Related Articles | Metrics