Following the “spatial turn” of the last 3 decades in humanities and social sciences and the structure of semiotic object, this research studies space as the main semiotic object of Calvino’s (1972) Invisible Cities. Significance of this application resides in examining the possibility of providing a more concrete methodology based on the integration of Zoran’s (1984) 3 vertical levels of const...

common stock is the most important and popular instrument in our capital market. every day, large volumes of stocks are traded on the tehran stock exchange and their ownership is transferred from one investor (natural or fictitious persons) to others. 'sales' is the term commonly used for this act in capital market and among investors. our hypothesis is that the common stocks could be...

in recent years, formal methods have been used as an important tool for performance evaluation and verification of a wide range of systems. in the view points of engineers and practitioners, however, there are still some major difficulties in using formal methods. in this paper, we introduce a new formal modeling language to fill the gaps between object-oriented programming languages (oopls) us...

In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...

Objective: Recently, stability of marriages and proper communication between couples has become more difficult. Therefore, exploring the impacts of relevant clinical interventions in resolving marital conflicts seems pivotal. The study aimed at investigating the effectiveness of object relations couple therapy on marital intimacy of divorce applicant couples with high-level borderline personali...

this study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. to maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. two subsets of an ultracam d image were geometrically corrected using aero-triangulation method. some appropriate transformations were perfor...

in this paper the problem of 3d scene and object classification from depth data is addressed. in contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. in order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. exploiting the algorithmic information theory, a new def...