Green spaces play an important role in urban areas. We study the accessibility of green areas by combining open data sets about with population size data. develop a mathematical model to define density area and calculate available space depending on location. To this end, we do not only consider walking distance area, but also take into account local size. Our quantifies how depends location ci...

In this paper, we describe our approach and results for high-level feature extraction task (HLF) at TRECVID2008. This year, our focus is to develop a framework which fuses a number of features effectively. In our paper, color , face, motion, text, and local pattern features were extracted. After that, a simplymodified version of Adaboost algorithm was implemented as a late fusion to combine all...

High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from highand lowspatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g...

resuscitation and promotion of local and indigenous sports among different classes of the rural society, requires identification and introduction of local and indigenous games and sports and careful planning at the strategic and operational levels. but unfortunately so far in the kermanshah province and even at the national level applied research fits this goal have not been conducted. this stu...

In this work, we propose a new data processing architecture as well as track association and fusion algorithms to improve target classification and tracking accuracy using distributed and, possibly, legacysensor platforms. We present a robust data fusion algorithm that can incorporate target classes/types at the fusion center when receiving sensor reports and/or local tracks. We aim to tackle t...

The goal of this paper is to reliably estimate a vector of unknown deterministic parameters associated with an underlying function at a fusion center of a wireless sensor network based on its noisy samples made at distributed local sensors. A set of noisy samples of a deterministic function characterized by a finite set of unknown parameters to be estimated is observed by distributed sensors. T...

A rigorous performance analysis is dedicated to the distributed Kalman "ltering fusion with feedback for distributed recursive state estimators of dynamic systems. It is shown that the Kalman "ltering track fusion formula with feedback is, like the track fusion without feedback, exactly equivalent to the corresponding centralizedKalman "ltering formula. Moreover, the so-calledPmatrices in the f...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...