4,303 research outputs found
Computational Simulation of Comb-plate Expansion Joints
A finite element model of the expansion Joints’ common damages of a novel comb-plate by using the finite element software ABAQUS is presented in this paper. The mechanical behavior of expansion Joints is analyzed to verify the weak parts of it. The research results provide a reference for the design of the comb-plate expansion Joints
The Multi-shop Ski Rental Problem
We consider the {\em multi-shop ski rental} problem. This problem generalizes
the classic ski rental problem to a multi-shop setting, in which each shop has
different prices for renting and purchasing a pair of skis, and a
\emph{consumer} has to make decisions on when and where to buy. We are
interested in the {\em optimal online (competitive-ratio minimizing) mixed
strategy} from the consumer's perspective. For our problem in its basic form,
we obtain exciting closed-form solutions and a linear time algorithm for
computing them. We further demonstrate the generality of our approach by
investigating three extensions of our basic problem, namely ones that consider
costs incurred by entering a shop or switching to another shop. Our solutions
to these problems suggest that the consumer must assign positive probability in
\emph{exactly one} shop at any buying time. Our results apply to many
real-world applications, ranging from cost management in \texttt{IaaS} cloud to
scheduling in distributed computing
Passive or Active: Understanding Consumers’ Behavioral Responses to Online Advertising
Approach and avoidance are two major types of behavioral responses when consumers encounter interferences caused by online advertising. This paper argues that approach-avoidance is not the only dimension from which researchers can examine behavioral responses toward online advertising. The inclusion of the active-passive behaviors dimension enriches the understanding of consumers’ coping strategies. Active and passive behaviors differ from each other by the intensity of coping efforts. Active behavioral responses imply that consumers act upon online ads and make efforts to approach or avoid them. Passive behavioral responses indicate that consumers make little efforts to change the current status, and would rather approach or avoid in a passive way. Data was collected through an online survey by asking participants to recall their experiences with online ads and their behavioral responses. We found that the effects of ad design characteristics (content, form, and behavior) on consumers’ behavioral responses differ across two-dimensions: Approach-Avoidance and Active-Passive. In addition, these effects also vary when consumers have different views (negative vs. positive) of the online ads. The contribution of this study lies in suggesting the two-dimensional view of studying consumers’ responses toward online ads and in deepening our understanding of consumer behavior in dealing with digital artefacts in general
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