We study consumption/saving decisions in an environment in which agents face a conflict between present and future utility which may require self-control for its resolution. We derive behavioral foundations for our analysis of self-control from the cognitive sciences, and in particular from the study of cognitive control in ‘delayed response’ tasks. In our model, self-control requires the activ...

Micropiles are routinely used in the United States for foundation support and stabilization of slopes. In recent years, several retaining walls have been constructed using micropiles in an A-frame type configuration to support temporary and permanent excavations at sites with limited access and limited right-of-way. Typical A-frame micropile walls consist of a row of vertical micropiles at the ...

We propose and axiomatically characterize dynamically consistent update rules for decision making under ambiguity. These rules apply to the preferences with multiple priors of Gilboa and Schmeidler (1989), and are the first, for anymodel of preferences over acts, to be able to reconcile typical behavior in the face of ambiguity (as exemplified by Ellsberg’s paradox) with dynamic consistency for...

Advancement in Artificial Intelligence has lead to the developments of various “smart” devices. The task of face Recognition has been actively researched in recent years. Wide usage of biometric information for person identity verification purposes, terrorist acts prevention measures and authentication process simplification in computer systems has raised significant attention to reliability an...

The present study examined the role of media use in adolescents' cyberbullying behavior. Following previous research, we propose a Cyclic Process Model of face-to-face victimization and cyberbullying through two mediating processes of anger/frustration and antisocial media content. This model was tested utilizing a cross-sectional design with adolescent participants (N=892). Exposure to antisoc...

In this paper, a novel 3D Bending Invariant Correlative Features (3D BI-LBP) is used for 3D face recognition to overcome some of the unsolved problems encountered with 3D facial images. In this challenging topic, large expression and pose variations along with data noise are three major obstacles. We first exploit an automatic procedure regarding face area extraction, and then process it to min...

Software inspections are a software engineering “best practice” for detecting and correcting defects in software artifacts, including requirements, design, code and test cases. Because defects are detected early in the software development process, software inspection improves software quality and reduces rework, thus saving time and costs. As a software process, inspections are adopted in many...

Face recognition has recently received remarkable attention in both authentication and identification systems due to high acceptability and collectability, regardless its lower circumvention and uniqueness than other biometric verification technologies. The basic approach with face recognition commences with feature set construction from the relevant facial traits of the users, termed enrollmen...

Despite the great deal of progress during the recent years, face spoofing detection is still a focus of attention. In this paper, an effective, simple and time-saving countermeasure against video-based face spoofing attacks based on LBP (Local Binary Patterns) and multiscale DCT (Discrete Cosine Transform) is proposed. Adopted as the low-level descriptors, LBP features are used to extract spati...

This paper shows that future expected income uncertainty can have significant effects on saving levels in a simple model with a quadratic utility function in which consumers face potentially binding liquidity constraints. By interpreting saving as the option to consume in the future if income happens to be low and the liquidity constraint binds, I propose a theoretical framework for the existen...