Fuzzy inference systems for multi-step ahead daily inflow forecasting

FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOThis paper presents the evaluation of a daily inflow forecasting model using a tool that facilitates the analysis of mathematical models for hydroelectric plants. The model is based on a Fuzzy Inference System. An offline version of the Expectation Maximi371129144FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO2011/09178-1This work was supported by FAPESP, Brazilian Agency dedicated to the development of science and technology (Process: 2011/09178-1); and by the AES Tietê company (Process: 37-P-17852-2010

Bancos de dados ativos como suporte a restrições topologicas em sistemas de informação geografica

Claudia Maria Bauzer MedeirosDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Ciencia da ComputaçãoResumo: Esta dissertação trata da utilização de sistemas ativos no contexto de aplicações geográficas. Os resultados aqui apresentados estendem o paradigma de SGBD ativos com o objetivo de solucionar o problema de manutenção de relacionamentos espaciais (topológicos) na presença de atualizações. A solução apresentada para este problema está dividida em três etapas: i) especificação da restrição topo lógica; ii) transformação da restrição em regras; e iii) manutenção automática da restrição, com base nas regras geradas. Esta abordagem foi utilizada no desenvolvimento de um protótipo de sistema ativo que incorpora um modelo geográfico OO, eliminando o problema da impedância existente entre Sistemas de Informação Geográfica (SIG) e sistemas de regras. As principais contribuições deste trabalho são um estudo detalhado sobre relacionamentos topológicos binários; uma proposta integrada para o problema de manutenção desses relacionamentos; e a definição de algoritmos para a verificação de integridade topológica, implementados no protótipo.Abstract: This dissertation concerns the use of active databases in geographic applications. The results presented here extend the active database systems paradigm to solve the problem of maintaining spatial (topological) constraints. The solution for this problem is divided in three steps: i) topological constraint specification; ii) translation of the constraint into roles; and iii) automatic constraint maintenance, using the generated rules. This approach was used in the development of an active system prototype that incorporates an object-oriented geographic model, thus removing the gap between Geographic Information Systems (GIS) and role systems. The main contributions presented are a detailed study about binary topological relationships; an integrated proposal for the problem of maintaining these relationships; and the definition of algorithms to verify the topological integrity (these algorithms are incorporated in the prototype).MestradoMestre em Ciência da Computaçã

CDR Data Management Plan: Data Survey and System Design

The University of Texas at Austin Center for Space Research (UT-CSR) final report to address topics and questions raised by the General Land Office (GLO) concerning concepts underlying the Texas Disaster Information System (TDIS).Texas General Land Office through GLO Contract No. 18-229-000-B854Center for Space Researc

CIRA annual report FY 2016/2017

Reporting period April 1, 2016-March 31, 2017

Flood Forecasting Using Machine Learning Methods

This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Wate

Air Traffic Management Abbreviation Compendium

As in all fields of work, an unmanageable number of abbreviations are used today in aviation for terms, definitions, commands, standards and technical descriptions. This applies in general to the areas of aeronautical communication, navigation and surveillance, cockpit and air traffic control working positions, passenger and cargo transport, and all other areas of flight planning, organization and guidance. In addition, many abbreviations are used more than once or have different meanings in different languages. In order to obtain an overview of the most common abbreviations used in air traffic management, organizations like EUROCONTROL, FAA, DWD and DLR have published lists of abbreviations in the past, which have also been enclosed in this document. In addition, abbreviations from some larger international projects related to aviation have been included to provide users with a directory as complete as possible. This means that the second edition of the Air Traffic Management Abbreviation Compendium includes now around 16,500 abbreviations and acronyms from the field of aviation

LIPIcs, Volume 261, ICALP 2023, Complete Volume

LIPIcs, Volume 261, ICALP 2023, Complete Volum

The Application of Expert Systems to Small Scale Map Designs

The increased availability of inexpensive computer mapping programs in recent years has lead to a great increase in the number of map authors and the number of maps being produced, but does not however appear to have lead to more widespread knowledge of cartographic design theory. The large number of poorly designed maps created by users of these computer systems indicates that there is a lack of knowledge of how to design maps. These poorly designed maps are not the fault of the computer programs, since most programs do have the capability of producing well designed maps when used by someone knowledgeable in map design. Rather, the problem lies with map authors who are not skilled in cartographic design and who would probably never produce a map by conventional means, but would contract a cartographer to produce it. What is required are programs to be used by naive map authors that are better able to produce reasonably well designed maps, or at least maps which do not break the most fundamental rules of map design. The area of computer science devoted to producing programs that include knowledge of how an expert solves a problem is that of Expert Systems. An Expert System is essentially a program which includes a codified form of the rules that an expert uses to solve a problem. Thus a cartographic design expert system would include the rules a cartographer uses when designing a map. This study examines the fields of artificial intelligence and expert system to assess how they may best be applied to the map design problem. A comprehensive review of the application of expert systems in design, mapping generally and map design in particular is also provided. In order to develop an expert system, the problem or 'domain' must be defined in a relatively formal manner. A structure for describing geographic information and cartographic representation is developed and a model of the cartographic design process for application in expert systems is also described. Based on the models developed, a functional specification for a cartographic design expert system for small scale maps is produced, with the rules required for each stage in the design process being set out. The development of an expert system, written in Prolog, incorporating these rules is then described in some detail. Details of how the Prolog language can be applied to a specific problem, colouring the political map, are also given. It has been found that as long as realistic goals are set and that the system is limited either in scale or range of topics, it is possible to develop an operational cartographic design expert system. However, it must be recognised that a considerable amount of further development will be needed to bring such a system to market with the support structures and robustness that this entails