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- 저자 : Zhihua Zhao (검색결과 15 건)
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Multi-focus Image Fusion with Cartoon-Texture Image Decomposition
Yongxin Zhang,Hongan Li,Zhihua Zhao 보안공학연구지원센터(IJSIP) 2015 International Journal of Signal Processing, Image Vol.8 No.1
Multi-focus image fusion can fuse multiple source images with different focus settings into a single image that appears sharper. How to effectively and completely represent the source images is the key to multi-focus image fusion. A multi-component fusion method is proposed for multi-focus image fusion. The registered source images are decomposed into cartoon and texture components by cartoon-texture image decomposition. The salient features are selected from the cartoon and texture components respectively to form a composite feature space. The local features that represent the salient information of the source images are integrated to construct the fused image. According to the visual perception and objective evaluations on the fused images, the proposed method works better in extracting the focused regions and improving the fusion quality, compared with the other existing single-component fusion methods.
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Zhao, Shankai,Zhong, Feng,Zhu, Zhihua 한국분석과학회 1995 분석과학 Vol.8 No.4
The method of matrix-assisted laser desorption ionization mass spectrometry has been used to solve some bioanalytical problems, which is difficult to analyse by general methods. For the selection of proper laser wavelength and matrices, eight matriees was used with laser wavelength of 226 and 355nm. The result shows that with wavelength of 355nm better results could be obtained with most of the matrices. The molecular weight of eytochrome C, which was seperated by gel electrophoresis and electro-blotted onto NC membrane is determined by MALDI. The accuracy is better than 0.1%, which is much higher than that of SDS-PAGE. Protein mixture extracted from crude peanut oil is directly determined by MALDI. The molecuiar weight of its three components are determined, and the result also demonstrated that these proteins are in free manner. As proteins arc in 2S bond, with the traditional method, SDS-PAGE, it is not able to decide whether protein exists in combination mode or in free manner. In the technique of two phase aquesous solution, which is used for separating biomaterials, water soluble polymers stained with dyes are used in this technique. By the use of MALDI the number or the dye molecules react with the polymer PEG molecule are determined, and that is difficult to determined by other methods.
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Zhihua Chen,Zhongwei Zhao,Han Zhu,Xiaodun Wang,Xiangyu Yan 한국강구조학회 2015 International Journal of Steel Structures Vol.15 No.2
Long-span spatial structures have advantages over other structural systems in terms of novelty and aesthetics in architectural form. However, the complexity of stress distribution causes these kinds of structures to change significantly between the construction and utilization stages. One-time loading method was used in the traditional design method to calculate and evaluate structural stress and structural deflection, either of which could cause problems in component size and residual stress during construction process. Therefore, construction simulation analysis of these structures must be performed. Element birth and death technology and step-by-step model technology (SSMT) are the main approaches in the finite element method used in construction analysis. This paper proposes a theory basis for the SSMT that was used in the constructional analysis of the Yujiapu Railway Station Building. Results obtained by the proposed method were compared with those by element birth and death technology. In addition, the preset construction deformation value was calculated to validate the correctness and efficiency of the proposed method.
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Multi-factor Evolution for Large-scale Multi-objective Cloud Task Scheduling
Tianhao Zhao,Linjie Wu,Di Wu,Jianwei Li,Zhihua Cui 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4
Scheduling user-submitted cloud tasks to the appropriate virtual machine (VM) in cloud computing is critical for cloud providers. However, as the demand for cloud resources from user tasks continues to grow, current evolutionary algorithms (EAs) cannot satisfy the optimal solution of large-scale cloud task scheduling problems. In this paper, we first construct a large-scale multi-objective cloud task problem considering the time and cost functions. Second, a multi-objective optimization algorithm based on multi-factor optimization (MFO) is proposed to solve the established problem. This algorithm solves by decomposing the large-scale optimization problem into multiple optimization subproblems. This reduces the computational burden of the algorithm. Later, the introduction of the MFO strategy provides the algorithm with a parallel evolutionary paradigm for multiple subpopulations of implicit knowledge transfer. Finally, simulation experiments and comparisons are performed on a large-scale task scheduling test set on the CloudSim platform. Experimental results show that our algorithm can obtain the best scheduling solution while maintaining good results of the objective function compared with other optimization algorithms.
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Experimental and Numerical Study on the Nonlinear Behavior of Strengthened Beams Under High Preload
Jingxian Zhao,Hongbo Liu,Zhihua Chen,Shishuo Zhang 한국강구조학회 2021 International Journal of Steel Structures Vol.21 No.5
The behavior of the H-beam strengthened with welded T-beam is tested and simulated to investigate the nonlinear behavior of fl exural members strengthened under high preload. Experimental result reveals that for the four specimens that fails predominantly by fl exural yielding, the increase in the preload results in a reduction in both the yield load and the ultimate load when the preload ratio exceeds 0.75. In the parametric numerical analysis, the eff ect of heat input is considered by means of indirect thermal-structural coupling analysis. At each preload ratio, the infl uence of the aspect ratio, which is defi ned as the ratio between section height and width, is studied. Results show that as the aspect ratio decreases, the discrepancy between the ultimate load of preloaded and unpreloaded beams increases. An empirical formula is proposed to calculate the reduction of ultimate load for beams aff ected from diff erent preload ratios considering various aspect ratios. Further studies are conducted on the welding safety. It is demonstrated that beam with the section larger than WH100 × 100 × 10 × 10 may be welded under high load safely when the preload ratio is < 0.97. What’s more, the approaches to calculate residual defl ection and increments of defl ection during welding process are proposed and verifi ed to be eff ective. Finally, the proposed theoretical method to calculate design bearing capacity of reinforced beams may be utilized to increase the accuracy of design process.
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Yuan Zihan,Zhao Haizhou,Zhi Qiaoming,Wang Sentai,Liu Chao,Han Ye,Xu Zhihua,Liu Fei,Liu Xingyi,Zan Xinquan,Wang Qiang,Wan Daiwei 한국유전학회 2022 Genes & Genomics Vol.44 No.12
Background: It has been well established that the long non-coding RNAs (lncRNAs) plays a critical role in tumor progression. However, the function of these transcripts and mechanisms responsible for their deregulation in colorectal cancer (CRC) remain to be investigated. Objective: To explore the potential effect and regulation mechanism of lncRNA H19X in colorectal cancer. Methods: We predicted and validated long non-coding RNA H19X from microarray data of colorectal cancer tissues. In addition, the biological behaviors of H19X and miR-503-5p on CRC were examined in vitro and in vivo, including MTT, colony formation assay, Hoechst33342 and transwell assay. The mRNA and protein levels of KN Motif and Ankyrin Repeat Domains 1 (KANK1) were analyzed by Quantitative real-time PCR (qRT-PCR), western blotting (WB) assay. Moreover, bioinformatics tools and dual-luciferase reporter assay were applied to demonstrate the relationship between KANK1 and miR-503-5p. Results: H19X was remarkably up-regulated in CRC tissues. Its expression related to tumor size (p = 0.041), lymph node metastasis (p = 0.037), distal metastasis (p = 0.028), advanced TNM stage (p = 0.034) and poor survival in CRC. H19X acted as an oncogenic lncRNA that induced CRC cell proliferation, invasion and metastasis. Through a number of functional studies, we found that H19X silencing inhibited the malignance phenotype of cancer cells through loss of miR-503-5p. Further studies demonstrated that miR-503-5p was involved in the progression of CRC by directly regulating the downstream target KANK1. Conclusion: Collectively, the findings of the present study indicate H19X/miR-503-5p/KANK1 axis has critical role in the progression of colorectal cancer, providing an effective prognostic indicator and promising target in treatment of colorectal cancer.
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A Bi-objective Game-based Task Scheduling Method in Cloud Computing Environment
Wanwan Guo,Mengkai Zhao,Zhihua Cui,Liping Xie 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11
The task scheduling problem has received a lot of attention in recent years as a crucial area for research in the cloud environment. However, due to the difference in objectives considered by service providers and users, it has become a major challenge to resolve the conflicting interests of service providers and users while both can still take into account their respective objectives. Therefore, the task scheduling problem as a bi-objective game problem is formulated first, and then a task scheduling model based on the bi-objective game (TSBOG) is constructed. In this model, energy consumption and resource utilization, which are of concern to the service provider, and cost and task completion rate, which are of concern to the user, are calculated simultaneously. Furthermore, a many-objective evolutionary algorithm based on a partitioned collaborative selection strategy (MaOEA-PCS) has been developed to solve the TSBOG. The MaOEA-PCS can find a balance between population convergence and diversity by partitioning the objective space and selecting the best converging individuals from each region into the next generation. To balance the players' multiple objectives, a crossover and mutation operator based on dynamic games is proposed and applied to MaPEA-PCS as a player's strategy update mechanism. Finally, through a series of experiments, not only the effectiveness of the model compared to a normal many-objective model is demonstrated, but also the performance of MaOEA-PCS and the validity of DGame.
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