This paper focuses on how the behavior of drivers in response to warning systems is influenced by their trust in those warning systems. The experimental examinations show that a) false alarms result in a reduction in trust and an increased reaction time to braking, b) a lack of alarms result in a delay in the recognition of hazardous situations, c) excessive trust induces significant delays in ...

In this paper we propose an estimator of the entropy of a continuous random variable. The estimator is obtained by modifying the estimator proposed by Vasicek (1976). Consistency of estimator is proved, and comparisons are made with Vasicek’s estimator (1976), van Es’s estimator (1992), Ebrahimi et al.’s estimator (1994) and Correa’s estimator (1995). The results indicate that the proposed esti...

In a complex dynamic cloud computing environment, both analyses of abnormal behavior of users and confirming incredible users are effective security measures. Fuzzy mathematics is used to reflect the ambiguous judgment of experts, and AHP method is used to compute the weight for each attribute of network users’ behavior. So a comprehensive way is used to evaluate user’s trust value based on FCE...

We analyze the behavior of the Barvinok estimator of the hafnian of even dimension, symmetric matrices with nonnegative entries. We introduce a condition under which the Barvinok estimator achieves subexponential errors, and show that this condition is almost optimal. Using that hafnians count the number of perfect matchings in graphs, we conclude that Barvinok’s estimator gives a polynomialtim...

Although social networking sites (SNS) are among the most important means of sharing and communication in today’s virtual world, little work has been done to explain the sharing behavior of SNS users in detail. This study tries to investigate types of sharing behavior of SNS users and to find important factors affecting their sharing behavior. In terms of the width and depth of sharing informat...

In this article we study nonparametric estimation of regression function by using the weighted Nadaraya-Watson approach. We establish the asymptotic normality and weak consistency of the resulting estimator for-mixing time series at both boundary and interior points, and we show that the estimator preserves the bias, variance, and more importantly, automatic good boundary behavior properties of...

This study investigated the association between trust in individuals, social institutions and online trust on the disclosure of personal identifiable information online. Using the Internet attributes approach that argues that some structural characteristics of the Internet such as lack of social cues and controllability are conducive to a dishinbitive behavior it was expected that face to face ...

Various wavelet-based estimators of self-similarity or long-range dependence scaling exponent are studied extensively. These estimators mainly include the (bi)orthogonal wavelet estimators and the Wavelet Transform Modulus Maxima (WTMM) estimator. This study focuses both on short and long time-series. In the framework of Fractional Auto-Regressive Integrated Moving Average (FARIMA) processes, w...

evaluating the impact of organizational factors andmanagement of deviant workplace behavior is an important issue. it helpsto explain the situation to senior managers in order to plan and makedecision to prevent or mitigate such a behavior. this study evaluates theimpact of organizational factors and management (unfair laws,organizational culture, compensation/ remuneration structure, negative ...

This paper explores methods to study trust. Answers to survey questions and choices in a trust game are obtained from subjects approached by mail executing their tasks at home as well as classroom subjects. No differences between the results obtained by these methods were observed. Furthermore, one group played the trust game with purely hypothetical payments, and another received random lotter...