A Multimodal Fusion Method Based on a Rotation Invariant Hierarchical Model for Finger-based Recognition

( Zhen Zhong ),( Wanlin Gao ),( Minjuan Wang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.1

Multimodal biometric-based recognition has been an active topic because of its higher convenience in recent years. Due to high user convenience of finger, finger-based personal identification has been widely used in practice. Hence, taking Finger-Print (FP), Finger-Vein (FV) and Finger-Knuckle-Print (FKP) as the ingredients of characteristic, their feature representation were helpful for improving the universality and reliability in identification. To usefully fuse the multimodal finger-features together, a new robust representation algorithm was proposed based on hierarchical model. Firstly, to obtain more robust features, the feature maps were obtained by Gabor magnitude feature coding and then described by Local Binary Pattern (LBP). Secondly, the LGBP-based feature maps were processed hierarchically in bottom-up mode by variable rectangle and circle granules, respectively. Finally, the intension of each granule was represented by Local-invariant Gray Features (LGFs) and called Hierarchical Local-Gabor-based Gray Invariant Features (HLGGIFs). Experiment results revealed that the proposed algorithm is capable of improving rotation variation of finger-pose, and achieving lower Equal Error Rate (EER) in our homemade database.

A multisource image fusion method for multimodal pig-body feature detection

( Zhen Zhong ),( Minjuan Wang ),( Andwanlin Gao ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.11

The multisource image fusion has become an active topic in the last few years owing to its higher segmentation rate. To enhance the accuracy of multimodal pig-body feature segmentation, a multisource image fusion method was employed. Nevertheless, the conventional multisource image fusion methods can not extract superior contrast and abundant details of fused image. To superior segment shape feature and detect temperature feature, a new multisource image fusion method was presented and entitled as NSST-GF-IPCNN. Firstly, the multisource images were resolved into a range of multiscale and multidirectional subbands by Nonsubsampled Shearlet Transform (NSST). Then, to superior describe fine-scale texture and edge information, even-symmetrical Gabor filter and Improved Pulse Coupled Neural Network (IPCNN) were used to fuse low and high-frequency subbands, respectively. Next, the fused coefficients were reconstructed into a fusion image using inverse NSST. Finally, the shape feature was extracted using automatic threshold algorithm and optimized using morphological operation. Nevertheless, the highest temperature of pig-body was gained in view of segmentation results. Experiments revealed that the presented fusion algorithm was able to realize 2.102-4.066% higher average accuracy rate than the traditional algorithms and also enhanced efficiency.

Sparse decision feedback equalization for underwater acoustic channel based on minimum symbol error rate

Wang Zhenzhong,Chen Fangjiong,Yu Hua,Shan Zhilong 대한조선학회 2021 International Journal of Naval Architecture and Oc Vol.13 No.1

Underwater Acoustic Channels (UAC) have inherent sparse characteristics. The traditional adaptive equalization techniques do not utilize this feature to improve the performance. In this paper we consider the Variable Adaptive Subgradient Projection (V-ASPM) method to derive a new sparse equalization algorithm based on the Minimum Symbol Error Rate (MSER) criterion. Compared with the original MSER algorithm, our proposed scheme adds sparse matrix to the iterative formula, which can assign independent step-sizes to the equalizer taps. How to obtain such proper sparse matrix is also analyzed. On this basis, the selection scheme of the sparse matrix is obtained by combining the variable step-sizes and equalizer sparsity measure. We call the new algorithm Sparse-Control Proportional-MSER (SC-PMSER) equalizer. Finally, the proposed SC-PMSER equalizer is embedded into a turbo receiver, which perform turbo decoding, Digital Phase-Locked Loop (DPLL), time-reversal receiving and multi-reception diversity. Simulation and real-field experimental results show that the proposed algorithm has better performance in convergence speed and Bit Error Rate (BER).

Investigating chemical features of Panax notoginseng based on integrating HPLC fingerprinting and determination of multiconstituents by single reference standard

Yang, Zhenzhong,Zhu, Jieqiang,Zhang, Han,Fan, Xiaohui The Korean Society of Ginseng 2018 Journal of Ginseng Research Vol.42 No.3

Background: Panax notoginseng is a highly valued medicine and functional food, whose quality is considered to be influenced by the size, botanical parts, and growth environments. Methods: In this study, a HPLC method integrating fingerprinting and determination of multiconstituents by single reference standard was established and adopted to investigate the chemical profiles and active constituent contents of 215 notoginseng samples with different sizes, from different botanical parts and geographical regions. Results: Chemical differences among main root, branch root, and rotten root were not distinct, while rhizome and fibrous root could be discriminated from other parts. The notoginseng samples from Wenshan Autonomous Prefecture and cities nearby were similar, whereas samples from cities far away were not. The contents of major active constituents in main root did not correlate with the market price. Conclusion: This study provided comprehensive chemical evidence for the rational usage of different parts, sizes, and growth regions of notoginseng in practice.

Geochemical and S isotopic studies of pollutant evolution in groundwater after acid in situ leaching in a uranium mine area in Xinjiang

Liu Zhenzhong,Tan Kaixuan,Li Chunguang,Li Yongmei,Zhang Chong,Song Jing,Liu Longcheng 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.4

Laboratory experiments and point monitoring of reservoir sediments have proven that stable sulfate reduction (SSR) can lower the concentrations of toxic metals and sulfate in acidic groundwater for a long time. Here, we hypothesize that SSR occurred during in situ leaching after uranium mining, which can impact the fate of acid groundwater in an entire region. To test this, we applied a sulfur isotope fractionation method to analyze the mechanism for natural attenuation of contaminated groundwater produced by acid in situ leaching of uranium (Xinjiang, China). The results showed that δ34S increased over time after the cessation of uranium mining, and natural attenuation caused considerable, area-scale immobilization of sulfur corresponding to retention levels of 5.3%–48.3% while simultaneously decreasing the concentration of uranium. Isotopic evidence for SSR in the area, together with evidence for changes of pollutant concentrations, suggest that area-scale SSR is most likely also important at other acid mining sites for uranium, where retention of acid groundwater may be strengthened through natural attenuation. To recapitulate, the sulfur isotope fractionation method constitutes a relatively accurate tool for quantification of spatiotemporal trends for groundwater during migration and transformation resulting from acid in situ leaching of uranium in northern China.

Study on the Impact of Positioning Errors on the Process Performance of Robotic Bonnet Polishing

Xuepeng Huang,Zhenzhong Wang,Lucheng Li 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.9

High-precision optical components are widely used in major fields such as strong lasers and astronomy, but the production cycle of components is greatly constrained by the difficulty of machining optical components and the high price of special polishing machines, so it is important to develop a high-efficiency and low-cost fast polishing system for optical components. By combining bonnet polishing technology with industrial robotics, we have developed an industrial robotics bonnet polishing system for optical components, and the effect of robot positioning errors on pad trimming and on the polishing of the entire surface is also analyzed. To verify the processing capability of the robotic bonnet polishing device, polishing pad dressing experiments and optical component surface correction polishing experiments were carried out. After the pad was dressed, the runout value was reduced from 182 to 23 μm with a convergence ratio of 7.9. After polishing the optical component twice, the PV and RMS values on the surface of the component decreased significantly, from 38.05 λ and 9.98 λ to 8.65 λ and 1.38 λ (λ = 632.8) respectively in the middle area of the component, with a convergence ratio of 4.4 and 7.2, proving that the robotic bonnet polishing system can be applied to the polishing process of optical components.

A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation

Zihao Wu,Zhenzhong Chen,Ge Chen,Xiaoke Li,Chen Jiang,Xuehui Gan,Haobo Qiu,Liang Gao 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.9

An effective method for reliability-based design optimization (RBDO) problems taking uncertainties into account is the probabilistic feasible region (PFR) approach. The PFR approach is built around the fixed nature of the standard deviation in general RBDO problems. Therefore, the accuracy of the PFR approach will be affected when dealing with RBDO problems with varying standard deviation. To improve the accuracy of PFR method in solving the RBDO problems with varying standard deviation, a novel probabilistic feasible region strategy considering varying standard deviations (PFR-vstd) approach is suggested in this paper. In place of the initial probabilistic feasible region in standard normal space, a new probabilistic feasible region is established in original design space in this novel approach. The results of four applications demonstrate the high accuracy and sufficient efficiency of PFR-vstd method. The findings demonstrate that PFR-vstd method is capable of accurately resolving RBDO problems with varying standard deviation.

A new model approach to predict the unloading rock slope displacement behavior based on monitoring data

Ting Jiang,Zhenzhong Shen,Meng Yang,Liqun Xu,Lei Gan,Xinbo Cui 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.67 No.2

To improve the prediction accuracy of the strong-unloading rock slope performance and obtain the range of variation in the slope displacement, a new displacement time-series prediction model is proposed, called the fuzzy information granulation (FIG)-genetic algorithm (GA)-back propagation neural network (BPNN) model. Initially, a displacement time series is selected as the training samples of the prediction model on the basis of an analysis of the causes of the change in the slope behavior. Then, FIG is executed to partition the series and obtain the characteristic parameters of every partition. Furthermore, the later characteristic parameters are predicted by inputting the earlier characteristic parameters into the GA-BPNN model, where a GA is used to optimize the initial weights and thresholds of the BPNN; in the process, the numbers of input layer nodes, hidden layer nodes, and output layer nodes are determined by a trial method. Finally, the prediction model is evaluated by comparing the measured and predicted values. The model is applied to predict the displacement time series of a strong-unloading rock slope in a hydropower station. The engineering case shows that the FIG-GA-BPNN model can obtain more accurate predicted results and has high engineering application value.

INTERNATIONAL DIVERSIFICATION, TECHNOLOGICAL CAPABILITY, AND MARKET FOCUS: THE MODERATED MEDIATING EFFECT ON NEW PRODUCT PERFORMANCE

Jie Wu,Zhenzhong Ma 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

We propose that while EMFs’ international diversification promotes new product performance, technological capability actually mediates the relationship between international diversification and new product performance. We further argue that focusing on more developed markets strengthens the positive effect of EMFs’ international diversification on their technological capability accumulated over the process of internationalization, whereas it weakens the impact of EMFs’ technological capability on their new product performance because EMFs have to compete with local and global firms in the more developed target countries. Analysis on Chinese manufacturers’ international efforts provides support for these hypotheses.

Dynamic modeling method for active magnetic bearings-rotor system of steam turbines

Chao Wu,Zhenzhong Su,Dong Wang,Hao Jiang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.4

As oil-free rotor support technology, active magnetic bearings (AMBs) are increasingly applied in turbinmachinery, including steam turbines. The compact multiple disksrotor bearing system of maglev steam turbines leads to complicated dynamic behaviors, which is the basis of AMBs controllers design. In this paper, an analytical modeling method is proposed to describe the dynamic characteristics of AMBs-rotor system of maglev steam turbines. The analytic rotor dynamic model consists of multiple rigid disks on a flexible shaft and AMBs. In modeling the rotor bearing system, the flexible shaft is discretized by Euler Bernoulli beam elements. The connection between rigid disks and flexible shaft is equivalent to spring dampers. Angular stiffness and angular damping coefficients are introduced to model the spring dampers and identified by 3D finite element simulation results. The bearings force takes the control system of AMBs into consideration. Moreover, experiments of a test rig are carried out. The results show that the proposed analytical rotor dynamic modeling method is effective.