989 resultados para DIGITAL-SKY-SURVEY


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The Tyne Digital Library (TDL) provides access to scholarly materials (e.g. papers, book chapters, bibliographic reference lists), databases of hydrological and physical information, maps of key physiographic and environmental data, and electronic journal articles, for students undertaking GEOG3023 River Basin Management. In addition, the TDL utilises technological innovations that enhance services for accessing this information.

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This paper discusses an instructional video and booklet developed to improve hearing aid users’ satisfaction and to educate audiologists on the importance of proper post-fit counseling.

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This paper discusses a survey undertaken to review information on hearing loss distributed by St. Louis area hospitals and pediatricians.

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This paper examines the results of a survey undertaken of CID alumni to determine how they are managing socially in a hearing world.

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This paper examines the auditory training procedures used at Central Institute for the Deaf.

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This paper is a review of current practices in 1976 among audiologists and hearing aid dealers in fitting of hearing aids for adults.

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This paper discusses the results of a survey about awareness of the American with Disabilities Act.

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This paper discusses a study of CTA commuter trains in Chicago and whether Chicago is in need of regulations of standards for noise emitted by CTA trains.

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This paper presents a consumer survey of hearing-impaired persons used to identify their attitudes, knowledge, acceptance, and use of assistive listening devices in public facilities.

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The delineation of Geomorphic Process Units (GPUs) aims to quantify past, current and future geomorphological processes and the sediment flux associated with them. Five GPUs have been identified for the Okstindan area of northern Norway and these were derived from the combination of Landsat satellite imagery (TM and ETM+) with stereo aerial photographs (used to construct a Digital Elevation Model) and ground survey. The Okstindan study area is sub-arctic and mountainous and is dominated by glacial and periglacial processes. The GPUs exclude the glacial system (some 37% of the study area) and hence they are focussed upon periglacial and colluvial processes. The identified GPUs are: 1. solifluction and rill erosion; 2. talus creep, slope wash and rill erosion; 3. accumulation of debris by rock and boulder fall; 4. rockwalls; and 5. stable ground with dissolved transport. The GPUs have been applied to a ‘test site’ within the study area in order to illustrate their potential for mapping the spatial distribution of geomorphological processes. The test site within the study area is a catchment which is representative of the range of geomorphological processes identified.

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A new digital atlas of the geomorphology of the Namib Sand Sea in southern Africa has been developed. This atlas incorporates a number of databases including a digital elevation model (ASTER and SRTM) and other remote sensing databases that cover climate (ERA-40) and vegetation (PAL and GIMMS). A map of dune types in the Namib Sand Sea has been derived from Landsat and CNES/SPOT imagery. The atlas also includes a collation of geochronometric dates, largely derived from luminescence techniques, and a bibliographic survey of the research literature on the geomorphology of the Namib dune system. Together these databases provide valuable information that can be used as a starting point for tackling important questions about the development of the Namib and other sand seas in the past, present and future.

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Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters. The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism. These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them. Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44]. Data mining techniques are used for information retrieval, statistical modelling and machine learning. These techniques employ data pre-processing, data analysis, and data interpretation processes in the course of data analysis. This survey discusses different data mining techniques used in mining diverse aspects of the social network over decades going from the historical techniques to the up-to-date models, including our novel technique named TRCM. All the techniques covered in this survey are listed in the Table.1 including the tools employed as well as names of their authors.