Technical University of Denmark DK-2800 Lyngby‚ Denmark E-mail: jaj@elektro.dtu.dk Web: http://server.elektro.dtu.dk/www/jaj/field/ CONTENTS 1 Introduction 3 2 Program organization 5 3 Method of simulation 3.1 The spatial impulse response 3.2 Simulation . . . . . . . . . 3.3 Focusing and apodization . 3.4 Attenuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Description of Matlab procedures 5.1 List of current
Premium Mathematics
Joshua Fletcher Paragraph Orders Spatial Walking to the end of the hallway opens his eyes to a wealth of vibrant chaos. As soon as he peeks through the threshold he immediately notices the open toy box to his left. The lid is open and most of its contents are not inside. On the wall above‚ hangs a decorative motorcycle wheelieing its way over a boy’s name‚ “Atticus.” Just below‚ in the corner‚ is a toddler bed outfitted with Buzz Lightyear sheets and his favorite
Premium Rock music Punk rock Heavy metal music
1 Introduction Peng Yigang‚ in his book Analysis of Chinese Classical Gardens‚ believes that it is necessary to incorporate design creations in the study of classical gardens. (Peng‚ 1986) He critically analyzes the rules governing aesthetics and modern spatial theory‚ and discusses the methods of using time and space to create traditional Chinese gardens. His approach has influenced numerous scholars‚ including the authors‚ whose work entitled The Spatial Structure Creation Process in Liu Garden
Premium
Representation of spatial and temporal data in ArcGIS Jonathan Goodall‚ David Maidment and Jennifer Sorenson* ABSTRACT: The representation of hydrologic phenomena in a Geographic Information System (GIS) requires the integration of geospatial data with time series. Rainfall‚ streamflow‚ nutrient loading‚ and stage are examples of hydrologic parameters that exhibit high spatial and temporal variability and‚ therefore‚ must be described with both spatial and temporal data. While the representation
Premium Time Hydrology Space
III. Benefits of the model Burgess described the changing spatial patterns of residential areas as a process of "invasion" and "succession" . As the city grew‚ Burgess also observed that the CBD would cause it to expand outwards; this in turn forced the other rings to expand outwards as well. More recently sub-business centers have grown up in outlying zones. Burgess indicated that “the Chicago of yesterday‚ an agglomeration of country towns and immigrant colonies‚ is under-going a process of
Premium City Urban area Economics
STORING AND INDEXING SPATIAL DATA IN P2P SYSTEMS ABSTRACT: The peer-to-peer (P2P) paradigm has become very popular for storing and sharing information in a totally decentralized manner. At first‚ research focused on P2P systems that host 1D data. Nowadays‚ the need for P2P applications with multidimensional data has emerged‚ motivating research on P2P systems that manage such data. The majority of the proposed techniques are based either on the distribution of centralized indexes or on
Premium Peer-to-peer Dimension
because of urbanization. Many people move from rural areas such as a countryside to urban areas‚ or cities. Urbanization causes spatial inequality which is when people have unequal amounts of resources or money. “Emiliano opened the door for me‚ and I walked straight into my old house in Edcouch!...Everything in this house had been in ours at one time. (Rice‚ 26)” Spatial inequality exists because of overcrowds there is a lack of resources‚ not many jobs‚ and not enough greens space for everyone to
Premium Patient Health care Health care provider
Current Social Issues Environmental Process Human Spatial Behaviour -by Smita Ramachandran- Anthropologist Edward T. Hall (1966) argues that a "hidden dimension" shapes much of our behaviour. What is this hidden dimension? Space. How do people use the space around them to regulate their social interactions? This is one of the questions asked by environmental researchers‚ who use the term proxemics to refer to the study of human spatial behaviour (Hall‚ 1959). A key idea is that individuals
Premium Social psychology Group dynamics Sociology
Knowledge-Based Visualization to Support Spatial Data Mining Gennady Andrienko and Natalia Andrienko GMD - German National Research Center for Information Technology Schloss Birlinghoven‚ Sankt-Augustin‚ D-53754 Germany gennady.andrienko@gmd.de http://allanon.gmd.de/and/ Abstract. Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data‚ analysis by means of data mining can be aptly complemented by visual
Premium Data mining
6.2 The influence of an inhomogeneous spatial distribution of sugar on a biscuit’s appearance A biscuit’s appearance was influenced by the amount and spatial distribution of sugar. Table 6 shows that more participants thought biscuits A and B should be darker than that they though biscuits C and D should be darker. Qualitative data shown in table 10 partly supports this‚ as biscuits D were observed to be the darkest. Table 7 partly supports this as well. For the question “How is the appearance of
Premium Choice Sugar Marketing