Recent studies suggest that the correlation of stock returns increases with decreasing geographical distance. However, there is some debate on the appropriate methodology for measuring the effects of distance on correlation. We modify a regression approach suggested in the literature and complement it with an approach from spatial statistics, the mark correlation function. For the stocks contai...

in this paper, we deal to obtain some new complexity results for solving semidefinite optimization (sdo) problem by interior-point methods (ipms). we define a new proximity function for the sdo by a new kernel function. furthermore we formulate an algorithm for a primal dual interior-point method (ipm) for the sdo by using the proximity function and give its complexity analysis, and then we sho...

We introduce the proximity rank join problem, where weare given a set of relations whose tuples are equipped witha score and a real-valued feature vector. Given a targetfeature vector, the goal is to return the K combinations oftuples with high scores that are as close as possible to thetarget and to each other, according to some notion of dis-tance. The setting closely ...

Many emerging data mining applications require a proximity (similarity) join between points in a high-dimensional domain. We present a new algorithm that utilizes a new data structure, called the -kd tree, for fast spatial proximity joins on high-dimensional points. This data structure reduces the number of neighboring leaf nodes that are considered for the join test, as well as the traversal c...

Many of modern location-based services are often based on an area or place as opposed to an accurate determination of the precise location. Geo-fencing approach is based on the observation that users move from one place to another and then stay at that place for a while. These places can be, for example, commercial properties, homes, office centers and so on. As per geo-fencing approach they co...

Distance bounding protocols become important since wireless technologies become more and more common. Therefore, the security of the distance bounding protocol should be carefully analyzed. However, most of the protocols are not secure or their security is proven informally. Recently, Boureanu and Vaudenay defined the common structure which is commonly followed by most of the distance bounding ...

We introduce and study a generalization of the well-known region of influence proximity drawings, called (ε1, ε2)-proximity drawings. Intuitively, given a definition of proximity and two real numbers ε1 ≥ 0 and ε2 ≥ 0, an (ε1, ε2)-proximity drawing of a graph is a planar straight-line drawing Γ such that: (i) for every pair of adjacent vertices u, v, their proximity region “shrunk” by the multi...

Our society is consistently told that the world is becoming increasingly connected, that the Internet can join physically disparate people by means of email, Web sites, and chatrooms, and that the one 'must have' is a personal domain name; in effect, that the virtual should be more respected than the physical. People are led to believe that computers, with the 'net' as their focus, are their po...

We investigated the structure and seasonality of the proximity network in a group of polygynous western black crested gibbons (Nomascus concolor) using social network analysis. The spatial proximity changed seasonally and was affected by temperature and rainfall. Preferred proximity association was not distributed randomly among individuals. Kinship was one explanation for the social structure,...