Advanced Materials Research Vols. 225-226

Abstract: A new expected utility (EU) portfolio selection model without short sales is proposed. In the model, the expected utility function is quadratic. The model is solved by the pivoting algorithm. The paper showed in the EU portfolio selection model without the short sales, the relationship between the risk preference coefficient and the expected return is not linear but more complex. The risk preference coefficient could just reflect the investors’ preference in some intervals. We wrote program to calculate the optimal portfolios with the different coefficient. Investors could choose the optimal investment strategy according to both their own risk preference and the expected return of the portfolio.

Abstract: Low Voltage supplied radio-frequency (RF) CMOS devices by TSMC 0.18 micron process are used for the RF circuit designs of low noise amplifiers. Three components, low noise amplifiers (LNA), Class-E power amplifiers (PA), and LC oscillator simultaneously working at 6.0 to 18.0 GHz, are explored. The scenario combining two matched amplifiers, LNA and PA, and then amplifying the coupled signals from the oscillators is proven to be working. LNA usually runs prior to PA to suppress the noises, and thus the whole set functions like an integrated LNA, whose forward gain may be promoted as high as at least over 40 dB just as expected. At 6.0, 12.0 and 18.0 GHz, magnitudes of both S₁₁ and S₂₂ in the Smith Chart are deliberately tuned to approach to zero as shown. And Noise Figure determined to be 1.175 gives promising integrated circuit.

Abstract: Gray iron was hot-compressed on a Gleeble 3500 machine. The effect of hot compression on mechanical properties of gray iron was studied. The result shows that gray iron with the sandwich structure of graphite and ferrite matrix is prepared after more than 45% reduction of hot compression. The mechanical properties of 80% hot-compressed gray iron are significantly enhanced: tensile strength from 117MPa to 249MPa, and total elongation from 0 to 5.2%. The tensile fracture surface presents ductility characters after more than 45% reduction of hot deformation. The increase of the strength and ductility of the hot-compressed gray iron is caused by delamination toughening.

Abstract: Web Services Composition (WSC)-based applications are widely using in the heterogeneous environment, which has inevitably led to the need for reliable methods for the WSC paradigm Firstly this paper presents formal description of Web service and then proposes a novel WSC compensation method based on paired net which can dynamically construct agile compensation business process according to original business process and implements it. Secondly, we introduce a formal definition of execution logs, which ensures the reliability and consistency of composition execution. Finally, Composition-based application of trip reservation process shows that it is feasible.

Abstract: A novel median filter based manifold ranking approach for robust image annotation was presented in this paper. Firstly, we propose a similarity matching approach of manifold ranking to improve the robustness of traditional label propagation with median filter. Then the refined affinity matrix was applied to label propagation. Thus, the traditional pair-wise similarity is updated with scores using median filter of its neighbors in manifold space. Finally, the proposed image annotation approach propagated the image labels from the labeled images to the whole image database. The experiments over Corel images have shown that embedding median filter approach in manifold space is beneficial in image annotation.

Abstract: Wavelet analysis has been a powerful tool for exploring and solving many complicated problems in natural science and engineering computation. In this paper, the notion of vector-valued multiresolution analysis is introduced and the definition of the biorthogonal vector-valued bivariate wavelet functions is given. The existence of biorthogonal vector-valued binary wavelet functions associated with a pair of biorthogonal vector-valued finitely supported binary scaling functions is investigated. An algorithm for constructing a class of biorthogonal vector-valued finitely supported binary wavelet functions is presented by virtue of multiresolution analysis and matrix theory.

Abstract: In this paper, a novel morphological edge detection using adaptive weighted morphological operators is presented. The newly introduced operators employ weighted structuring element (SE) and apply multiplication or division in place of addition and subtraction in classical morphological operations. It judges its edge and its direction by means of training method and differentiable equivalent representations for the operators, efficient adaptive algorithms to optimize SEs are derived. The gradient of the adaptive weighted morphology utilizes a set of SEs to detect the edge strength with a view to decrease the spurious detail edge and suppressed the noise. Results will be presenting for images in comparison with the others edging detectors.

Abstract: Point to product module identification, a new optimization method is proposed in this paper. This approach uses the harmony search (HS) algorithm with the synthesis design structure matrix (DSM). The synthesis DSM thinks a series of property correlations facing the product lifecycle, such as function, geometer, physics, assistant and so on. An optimization function for module identification, based on the axiomatic design theory, is established. This optimization approach, which used HS algorithm, is tested several times and compared with other classical algorithms, such as simulated annealing algorithm (SAA) and genetic algorithm (GA). The result demonstrates the feasibility of the proposed approaches.

Abstract: Text similarity calculation is a key technology in the fields of text clustering, Web intelligent retrieval and natural language processing etc. Because the traditional text similarity calculation algorithm does not consider the affect of same feature words between texts, sometimes this algorithm may lead to inaccurate results. To solve this problem, this paper gives an improved text similarity calculation algorithm. Considering that the amount of same feature words reflects two texts’ similarity in some extent, the improved algorithm adds in the coverage measured parameter, which effectively reduces the interference of texts with lower similarity. The simulation and experimental results verify the improved algorithm’s correctness and effectiveness.

Abstract: Due to these reasons that present frequent neighboring class set mining algorithms are unsuitable for extracting any length frequent neighboring class set with constraint class set, this paper proposes an algorithm of synchronous mining frequent neighboring class set with constraint class set, which is suitable for mining any length frequent neighboring class set with constraint class set in large spatial database. The algorithm creates mining database through digitization method, and then gains candidate frequent neighboring class set with constraint class set via synchronous search strategy, namely, it uses computing (k-1)-subset of k-non frequent neighboring class set with constraint class set to generate candidate frequent neighboring class set, meanwhile, it also uses connecting (l+1)-superset of l-frequent neighboring class sets to generate candidate frequent neighboring class set with constraint class set, it only need scan database once to extract frequent neighboring class set with constraint class set. The result of experiment indicates that the algorithm is faster and more efficient than present algorithms when mining any length frequent neighboring class set with constraint class set.