Solid-state data interpretation system - A concept

Device, serving as substitute for cathode ray tubes, applies to computer input-output devices such as microfilm readers, data displays, and optical scanners. Each device operates at speed of modern computer

Cooperating Agents for 3D Scientific Data Interpretation

Many organizations collect vast quantities of three-dimensional (3-D) scientific data in volumetric form for a range of purposes, including resource exploration, market forecasting, and process modelling. Traditionally, these data have been interpreted by human experts with only minimal software assistance. However, such manual interpretation is a painstakingly slow and tedious process. Moreover, since interpretation involves subjective judgements and each interpreter has different scientific knowledge and experience, formulation of an effective interpretation often requires the cooperation of numerous such experts. Hence, there is a pressing need for a software system in which individual interpretations can be generated automatically and then refined through the use of cooperative reasoning and information sharing. To this end, a prototype system, SurfaceMapper, has been developed in which a community of cooperating software agents automatically locate and display interpretations in a volume of 3-D scientific data. The challenges and experiences in designing and building such a system are discussed. Particular emphasis is given to the agents' interactions and an empirical evaluation of the effectiveness of different cooperation strategies is presented

Phenomenological approach to scatterometer data interpretation

A graphic method of analyzing radar scatterometer sea clutter data leading to linear relations between scattering cross sections and tan angle of incidence of the radiation is proposed. This relation permits formulation of simple analytic relations without reference to the ocean surface spectrum. Parameters introduced depend on the wavelength of the incident radiation and its polarization, and on wind and sea states. The simplicity of the expressions derived suggests a corresponding simplicity in the physical mechanism of radar sea clutter return

Data interpretation in forensic sediment and soil geochemistry

Automated geochemical techniques enable reproducible elemental assays of small quantity samples and have been used in recent years in many forensic criminal investigations in England and Wales. Two case studies are presented that highlight the problems of testing the presence of pre-, syn-, or post-crime event sample mixing. The number of elements or compounds analyzed can have a bearing on statistical discriminant techniques that may provide false-positive or false-negative associations or exclusions. Chemical analyses of soils and sediments using both atomic absorption spectrometry and Dionex (DX500 Sunnyvale, CA, USA), and inductively coupled plasma mass spectrometry enabled the identification and classification of discrete groups by hierarchical cluster analysis and canonical discriminant function analysis. These groupings, however, prove fragile to small variations within samples of even the most common minerals. Copyright © Taylor & Francis Group, LLC

Engine Data Interpretation System (EDIS), phase 2

A prototype of an expert system was developed which applies qualitative constraint-based reasoning to the task of post-test analysis of data resulting from a rocket engine firing. Data anomalies are detected and corresponding faults are diagnosed. Engine behavior is reconstructed using measured data and knowledge about engine behavior. Knowledge about common faults guides but does not restrict the search for the best explanation in terms of hypothesized faults. The system contains domain knowledge about the behavior of common rocket engine components and was configured for use with the Space Shuttle Main Engine (SSME). A graphical user interface allows an expert user to intimately interact with the system during diagnosis. The system was applied to data taken during actual SSME tests where data anomalies were observed

Microarray Data Interpretation

Tato práce se zabývá interpretací dat získaných pomocí technologie biočipů. Práce obsahuje také krátký úvod do problematiky genetické informace a jejího významu. Jádrem práce je pak sada skriptů provádějící analýzy nad testovacími daty. Jako vstupní data jsou použity výstupy biočipové analýzy tkání s rakovinou tlustého střeva. Dílčí výsledek je určení genových markerů rakoviny tlustého střeva. Finální výsledek určuje postavení markerů v kontextu objevených signálních drah, ty jsou nakonec seřazeny dle relevance.This Bachelor thesis explains the basics of biochip or microarray data interpretation, starting with short introduction to genetics, especially genetic information significance evaluating. The focus was set mainly on the set of scripts transforming and analyzing the sample data. The data used in this thesis are a result of biochip analysis of the Colon Tumor tissues. The secondary result represents disclosing the main marker for this particular type of cancer, the primary result is evaluation of marker significance in the context of signaling pathways. The resulting pathways are sorted by relevance.

Interactions of Cosmic Rays around the Universe. Models for UHECR data interpretation

Ultra high energy cosmic rays (UHECRs) are expected to be accelerated in astrophysical sources and to travel through extragalactic space before hitting the Earth atmosphere. They interact both with the environment in the source and with the intergalactic photon fields they encounter, causing different processes at various scales depending on the photon energy in the nucleus rest frame. UHECR interactions are sensitive to uncertainties in the extragalactic background spectrum and in the photo-disintegration models.Comment: 6 pages, 5 figure