Reasoning under fuzzy vagueness and probabilistic uncertainty in the Semantic Web

Combining data from many different sources or from sources that are not entirely trusted brings challenges to the automated processing of such data. Knowledge presented in natural language is another challenge for computing. In the semantic web, many applications such as personal agents need to be able to manage multiple kinds of uncertainty. There are two main approaches to modeling uncertainty in the literature - fuzzy and probabilistic. These approaches model semantically different types of uncertainty. This paper focuses on approaches that combine both fuzzy and probabilistic reasoning in one framework to provide automated agents the capability to deal with both types of uncertainty

Edged in Stone v. Northwest Power Systems, LLC Clerk\u27s Record v. 2 Dckt. 40463

https://digitalcommons.law.uidaho.edu/idaho_supreme_court_record_briefs/5199/thumbnail.jp

LNG annotated bibliography

This document updates the bibliography published in Liquefied Gaseous Fuels Safety and Environmental Control Assessment Program: third status report (PNL-4172) and is a complete listing of literature reviewed and reported under the LNG Technical Surveillance Task. The bibliography is organized alphabetically by author

Búsqueda eficaz de información en la web

En este trabajo se describe someramente lo que es un Sistema de Recuperación de Información, para posteriormente poder profundizar en algunos aspectos específicos. Se presentan las herramientas de búsqueda Web más usadas actualmente, haciendo especial hincapié en los buscadores y en los metabuscadores, con el fin de proporcionar ciertos “trucos” para ayudar a mejorar nuestro acceso y búsqueda en los contenidos de la Web (por ejemplo explicando el uso de algunos operadores de búsqueda, cómo funcionan los algoritmos de ranking, como mejorar la posición de una página Web en los buscadores o cuáles son las peculiaridades de las arquitecturas computacionales de algunos motores de búsqueda). Finalmente, se propone el desarrollo y pruebas de mecanismos más “inteligentes” de acceso, búsqueda, gestión y recuperación de información y conocimiento contenidos en la Web. Para ello se muestra el uso de técnicas avanzadas de Inteligencia Artificial, en particular aquellas más cercanas a la manipulación del lenguaje natural y al comportamiento humano.XV Escuela Internacional de Informática, realizada durante el XVII Congreso Argentino de Ciencia de la Computación (CACIC 2011).Red de Universidades con Carreras en Informática (RedUNCI

Búsqueda eficaz de información en la web

En este trabajo se describe someramente lo que es un Sistema de Recuperación de Información, para posteriormente poder profundizar en algunos aspectos específicos. Se presentan las herramientas de búsqueda Web más usadas actualmente, haciendo especial hincapié en los buscadores y en los metabuscadores, con el fin de proporcionar ciertos “trucos” para ayudar a mejorar nuestro acceso y búsqueda en los contenidos de la Web (por ejemplo explicando el uso de algunos operadores de búsqueda, cómo funcionan los algoritmos de ranking, como mejorar la posición de una página Web en los buscadores o cuáles son las peculiaridades de las arquitecturas computacionales de algunos motores de búsqueda). Finalmente, se propone el desarrollo y pruebas de mecanismos más “inteligentes” de acceso, búsqueda, gestión y recuperación de información y conocimiento contenidos en la Web. Para ello se muestra el uso de técnicas avanzadas de Inteligencia Artificial, en particular aquellas más cercanas a la manipulación del lenguaje natural y al comportamiento humano.XV Escuela Internacional de Informática, realizada durante el XVII Congreso Argentino de Ciencia de la Computación (CACIC 2011).Red de Universidades con Carreras en Informática (RedUNCI

Hill-terms in the place-names of Berwickshire

Place-Names in the Landscape (PNL, 1984), Margaret Gelling claims the high number of topographical elements deployed in coining early English settlement-names is a verifiable system that differentiates specific types of hills, valleys, water-features, etc. Thus: hōh 'heel' is a hill-spur with a concave scarp falling away from a dip-slope summit; denu 'dean' is a long narrow valley with a mostly gentle gradient and moderately steep sides; ēg 'island' can signify an area of raised ground in wet country. In collaboration with Ann Cole, Gelling amassed and interpreted over 6,300 examples of topographical settlement-names in a companion volume, The Landscape of Place-Names (LPN, 2000). These two works propose that an Old English settlement-naming system can still largely be traced in the modern landscape. This thesis examines whether this is possible, not only in England but also in the Scottish county of Berwickshire (BWK) where Old English place-names similarly occur. Focusing on hill-terms, the research seeks to answer whether systematic naming – the 'Gelling-Cole Hypothesis' (GCH) – operated in Berwickshire; if all hill-terms fall within its scope; whether it originated in the earliest Old English period (as asserted); and if statistical analysis can be used to validate it scientifically. Identification of some 2,031 landforms referenced by hill-terms precedes a characterization of their physical attributes using an adaptation of GRASS GIS software (r.geomorphon). This automatically generates 11 parameters for each landform without direct researcher intervention. The resulting metrics are compared using a model of statistical hypothesis testing. Heterogeneity between individual place-name elements is examined; a key claim being that synonyms are inadmissible to the naming system. Homogeneity between 1,011 relief-feature examples cited by Gelling and Cole and 490 Berwickshire place-names with equivalent generics is also tested to establish whether the same phenomenon is observable in Scotland. Implicit and explicit assumptions touching upon chronology, causality, and the interaction of historical languages both in Scotland and England are explored towards provisional conclusions regarding the scope and possible origins of topographical settlement-naming

Management. A continuing bibliography for NASA managers, with indexes

This bibliography lists 594 reports, articles and other documents introduced into the NASA scientific and technical information system in 1983

Management: A bibliography for NASA managers

This bibliography lists 630 reports, articles and other documents introduced into the NASA Scientific and Technical Information System in 1991. Items are selected and grouped according to their usefulness to the manager as manager. Citations are grouped into ten subject categories: human factors and personnel issues; management theory and techniques; industrial management and manufacturing; robotics and expert systems; computers and information management; research and development; economics, costs and markets; logistics and operations management; reliability and quality control; and legality, legislation, and policy

Optimization of Biogas Production by Use of a Microbially Enhanced Inoculum

A renewable energy source, biogas, comprises of methane (80%) and carbon dioxide (15%), and is a great alternative to the conventional fossil-based fuels, such as coal, gas and oil. Biogas is created during anaerobic biological digestion of waste materials, such as landfill material, animal manure, wastewater, algal biomass, industrial organic waste etc. A biogas potential from organic waste in the United States is estimated at about 9 million tons per year and technology allows capture of greenhouse gases, such as methane and carbon dioxide, into a form of a fuel. In the light of global climate change and efforts to decrease carbon footprint of fuels in daily life, usage of biogas as an alternative fuel to fossil fuels looks especially promising. The goal of this research was to develop and test an approach for optimization of biogas production by engineering microorganisms digesting organic waste. Specifically, bacteria that can digest algal biomass, collected from the wastewater lagoons or open waterbodies. The research also expands on the previous efforts to analyze microbial interactions in wastewater treatment systems. A computational model is developed to aid with prognosis of microbial consortia ability to form complex aggregates in reactors with upflow mode of feeding substrate. Combining modeling predictions and laboratory experiments in organic matter digestion will lead to more stable engineered systems and higher yields of biogas