Shandong Institute of Business and Technology

About: Shandong Institute of Business and Technology is a education organization based out in Yantai, China. It is known for research contribution in the topics: Computer science & Artificial neural network. The organization has 1487 authors who have published 1433 publications receiving 8915 citations.

Coupled Deflection Analysis of SMA Fiber Hybrid Composite Active Blade

Abstract: The constitutive equations relating cross-sectional loads(forces and moments)to cross-sectional displacements(stretching, bending, twisting) of thin-walled laminated beams with integral shape memory alloy (SMA)active fibers was presented. The variational asymptotic method was used to formulate the force- deformation relationships equations, accounting for the presence of active SMA fibers distributed along the cross-section of the beam. The constitutive relationships for evaluation of the properties of a hybrid SMA composite ply were obtained following the rule of mixtures. The analytical expressions of the actuation components for the active beam were derived based on Tanaka’s constitutive equation and Lin’s linear phase transformation kinetics for SMA fiber. The general form of constitutive relation was applied to the case of stretching-twist coupling, corresponding to Circumferentially Uniform Stiffness (CUS). The present analysis extended the previous work done for modeling generic passive thin-walled laminated beams. Numerical results shown that significant stretching and twisting deflection occur during the phase transformation due to SMA actuation. The effects of temperature on structural response behavior during phase transformation from martensite to austenite are significant. The effects of the volume fraction of the SMA fiber, the martensitic residual strain and ply angle were also addressed

Image Denoising Algorithm Based on Adaptive Singular Value Threshold

Abstract: Non-local similarity images play a huge role in image denoising tasks. Many of the existing denoising algorithms have problems in that the edge information is too smooth, the reconstruction details are insufficient, and artifacts are easily generated while removing noise. In order to solve these shortcomings and improve the denoising accuracy, we propose a denoising algorithm based on non-local similarity and adaptive singular value threshold (ASVT). The algorithm consists of three basic steps: block matching grouping, ASVT denoising, and aggregation. First, similar image patches are grouped by block matching method, and each similar block group is used as a group matrix for each column of the matrix. Then, under the framework of image non-local similarity and low rank approximation, the denoising problem is transformed into low rank matrix approximation problem, which is solved by ASVT. Finally, all processed image patches are aggregated to produce an initial denoised image. In order to effectively avoid the influence of noise residual on denoising, the denoising result is further improved by the back projection strategy, and more detailed features are retained. Experimental results clearly show that the proposed algorithm is competitive with the current state-of-the-art denoising algorithms in terms of both quantitative measure and subjective visual quality and can retain more details and improve the smoothing problem.

Performance assessment model for university subject leaders based on competency theory

Abstract: The traditional evaluation methods to the subject leaders have single form and poor effect. Many universities still use low-level and batch-based appraisal management model centered at annual evaluation, which have more limited to the shallow research and is lack of specific measurements. We strive to combine quantitative and qualitative analysis, establishing performance assessment indexes system and using analytic hierarchy process (AHP) to determine the weight of each index is essential to construct competency model for subject leaders. Further examples have been evaluated in this essay which suggests the validity of model established for performance assessment of subject leaders.

On Sustainability Evaluation of Great Construction Projects

Abstract: At the decision-making stage, carrying out the sustainability evaluation in great construction projects is the reflection and demands from the view of scientific development . This paper analyses the contents of the great construction projects' sustainability evaluation such as economy, society, science and technology, environment and resource, etc., putting forward the index system and methods of sustainability evaluation.