Search results

The purpose of this paper is to take the perspective of repairing the negative effect of social exclusion, discussing how anthropomorphized brand role (partner vs servant) releases the negative effect of social exclusion.

In this research, two behavioral studies are conducted. Study 1 uses a one-factor (social exclusion vs social inclusion) between-subjects design. The purpose of Study 1 is to test the effect of social exclusion on consumers’ WTP for the anthropomorphized brand (H1). Study 2 uses a 2 (self-esteem (SE): high vs low) × 2 (anthropomorphized brand role: servant vs partner) between-subjects design. The aim of Study 2 is to investigate that after being socially excluded, how anthropomorphized brand roles (servant vs partner) and SE interactively release individuals’ negative feelings (H2a and H2b) and how the need for control recovery mediates this interaction effect (H3).

This study proposes that when individuals are socially excluded, they are willing to pay more for anthropomorphized brands than those who are not because anthropomorphized brands provide a quasi-social relationship. This study further posits that socially excluded consumers prefer the different role of anthropomorphized brands, given a different level of SE to meet their needs for control recovery. High self-esteem (HSE) (vs low self-esteem (LSE)) consumers are willing to pay more for a servant-like brand because such brands help them recover from low control by regaining a master role. In contrast, HSE and LSE consumers have no significant differences in WTP for a partner-like brand.

Few research studies have discussed how social exclusion influences individuals’ WTP. To fill this gap, the authors used WTP as the dependent variable, showing that after being socially excluded, individuals tend to pay a higher price for the anthropomorphized brand. Also, the research not only adds a contribution to research on the need for control recovery but also indicates how HSE vs LSE individuals behave differently in socially excluded contexts.

Ant colony algorithm is widely used in recent years as a heuristic algorithm. It provides a new way to solve complicated combinatorial optimization problems. Having been enlightened by the behavior of ant colony's searching for food, positive feedback construction and distributed computing combined with certain heuristics are adopted in the algorithm, which makes it easier to find better solution. This paper introduces a series of ant colony algorithm and its improved algorithm of the basic principle, and discusses the ant colony algorithm application situation. Finally, several problems existing in the research and the development prospect of ACO are reviewed.

The purpose of this paper is to systematically investigate the dynamic strain aging (DSA) effect in solid solution treated IN718 at different temperatures through experiments and simulations to gain an understanding of the inelastic deformation mechanisms.

In the present work, uniaxial tensile tests have been carried out in conjunction with finite element (FE) simulations to investigate the behaviour of the solid solution treated Inconel 718 superalloy at different temperatures and strain rates. Dynamic strain aging (DSA) effects, which manifested during the tests in the form of a negative strain rate sensitivity and stress serrations, are investigated. The most significant DSA effect occurs at 500°C and at a strain rate of 10–4 s-1. In a newly proposed rate-dependent constitutive formulation, the DSA model, proposed by McCormick, Kubin and Estrin, was introduced into slip-assisted solute hardening, and an activation energy-dependent exponential flow rule was adopted.

The observed negative strain rate sensitivity and stress serrations are well predicted by a 3 D FE. The FE results indicate that the equivalent plastic strain rate distribution in the specimen gauge length is as highly inhomogeneous as in the other materials exhibiting DSA effects such as aluminium and titanium alloy. During inelastic deformation, propagating high strain rate bands can be closely correlated to the stress serrations.

For the DSA effect in solid solution treated IN718, the existing researching mainly focuses on the mechanical properties experiment and microstructure observation. In this study, a constitutive formulation, combined with the DSA model, has been proposed, and the mechanical behaviors, including the DSA effect, have been well predicted by a finite element model.

Classifying moving objects in video sequences has been extensively studied, yet it is still an ongoing problem. In this paper, we propose to solve moving objects classification problem via an extended version of two-dimensional principal component analysis (2DPCA), named as category-wise 2DPCA (CW2DPCA). A key component of the CW2DPCA is to independently construct optimal projection matrices from object-specific training datasets and produce category-wise feature spaces, wherein each feature space uniquely captures the invariant characteristics of the underlying intra-category samples. Consequently, on one hand, CW2DPCA enables early separation among the different object categories and, on the other hand, extracts effective discriminative features for representing both training datasets and test objects samples in the classification model, which is a nearest neighbor classifier. For ease of exposition, we consider human/vehicle classification, although the proposed CW2DPCA-based classification framework can be easily generalized to handle multiple objects classification. The experimental results prove the effectiveness of CW2DPCA features in discriminating between humans and vehicles in two publicly available video datasets.