quantitative identification of physical changes, developments and dynamic position of urban green space is considered as the first step in its planning. by means of the aerial photos taken in 1956, 1974, and 1994 as well as the quick bird satellite image captured in 2006, this study has dealt with changes in per capita green space in khorramabad during these years. first, geometric corrections ...

introduction climate has always been one the main factors of designing urban spaces in iran since past centuries. by analyzing urban spaces it can be concluded that different cities have different urban spaces due to climate differences. one of the main reasons of the differences in the type and orientation of urban spaces is the climate as one of the key factors in designing these areas. regar...

importance of security and sense of peace is a one of the most important factors of urban environment. therefore, the necessity of security in urban spaces has caused the emergence of authentic theories like defensible spaces and crime prevention through environment design (cpted)*. in this paper, various literatures related to defensible space theories have been reviewed and the related keywor...

visibility is an important factor of environmental quality that has various influences on the quality of neighborhood. this paper aimed to find the relationship between urban form and visual quality. a public space with a spatial configuration in one of bushehr city's neighborhoods was selected as the case study. bushehr city is surrounded by urban development and the sea. compact urban sp...

Face recognition methods based on Principle Component Analysis (PCA), known as the eigen face method, were some of the best performing methods for some time and are still often used as base line in comparisons. One of the best known variants is the combination of eigenfaces with the log likelihood ratio distance measure. The last few years no large improvements have been made and the method is ...

Extracting the “correct” location information from text data, i.e., determining the place of event, has long been a goal for automated text processing. To approximate human-like coding schema, we introduce a supervised machine learning algorithm that classifies each location word to be either correct or incorrect. We use news articles collected from around the world (Integrated Crisis Early War...

We describe Localization-Space Trails (LOST), a method that enables a team of robots to navigate between places of interest in an initially unknown environment using a trail of landmarks. The landmarks are not physical; they are waypoint coordinates generated on-line by each robot and shared with team-mates. Waypoints are specified in each robot’s local coordinate system, and contain references...

Urban space has been formed in historical texture of cities under the influence of meaning and shape on the onehand and qualities related to human behaviors on the other hand. Among these points, neighborhood centers as themost important areas of social life in urban open space play a critical role in attracting people and improving qualityand vitality of environment. This study presents the re...