Knowledge-elicitation and data-mining: fusing human and industrial plant information

Knowledge-elicitation is a common technique used to produce rules about the operation of a plant from the knowledge that is available from human expertise. Similarly, data-mining is becoming a popular technique to extract rules from the data available from the operation of a plant. In the work reported here knowledge was required to enable the supervisory control of an aluminium hot strip mill by the determination of mill set-points. A method was developed to fuse knowledge-elicitation and data-mining to incorporate the best aspects of each technique, whilst avoiding known problems. Utilisation of the knowledge was through an expert system, which determined schedules of set-points and provided information to human operators. The results show that the method proposed in this paper was effective in producing rules for the on-line control of a complex industrial process. (C) 2005 Elsevier Ltd. All rights reserved.

The distribution and host plants of fruit flies (Diptera: Tephritidae) in Australia

This book provides for the first time a detailed host list for all the fruit fly species (Tephritidae) known from Australia. It includes available distribution, male lure and host plant information for the 278 species currently recorded from Australia (including Torres Strait Islands but excluding Christmas and Cocos (Keeling) islands in the Indian Ocean). This total includes 269 described species plus nine undescribed species of Tephritinae. Thirteen fruit fly specialists from throughout Australia collaborated with QDPI in the production of this book. It provides an invaluable reference source for anyone involved in fruit fly research, ecological studies, pre- and post-harvest control, regulation, quarantine and market access.

植物形态学信息处理的研究

从计算机技术的角度出发，对植物形态学信息处理和应用，构成本文的思想，文中简略同顾了植物形态学术语的标准化的历史发展过程，对当前世界范围内在此领域的工作也作了概要般的总结，论述了计算机技术用十植物学应用和研究的重要性并提出了我国在此领域内开展工作的紧迫性和必要性。计算机的资源限制及植物信息特有的复杂性是这一领域发展的困难。因此，如何贮存植物信息?如何操作加工应用？才能充分利用计算机资源和植物信息资源成为本领域的核心问题。 本文基于上面的考虑，对植物形态学信息从基本的信息单位植物形态学术语出发，探求其分类结构，并从计算机技术的编码理论方面进行探讨．力图求得一个标准化的植物形态学描述分类群的术语编码集，提供一种实现描述的方法，并试验性地给出一种描述规范和格式，简单讨论一下实现语言处理，机器鉴定、数量分类的可能性，最后简单分析和对比了本工作和国际上的类似工作，并对本领域进行了简单的展望。

Modern approaches to floristics and their impact on the region of SW Asia

Attitudes to floristics have changed considerably during the past few decades as a result of increasing and often more focused consumer demands, heightened awareness of the threats to biodiversity, information flow and overload, and the application of electronic and web-based techniques to information handling and processing. This paper will examine these concerns in relation to our floristic knowledge and needs in the region of SW Asia. Particular reference will be made to the experience gained from the Euro+Med PlantBase project for the preparation of an electronic plant-information system for Europe and the Mediterranean, with a single core list of accepted plant names and synonyms, based on consensus taxonomy agreed by a specialist network. The many challenges Ð scientific, technical and organisational Ð that it has presented will be discussed as well as the problems of handling nontaxonomic information from fields such as conservation, karyology, biosystematics and mapping. The question of regional cooperation and the sharing of efforts and resources will also be raised and attention drawn to the recent planning workshop held in Rabat (May 2002) for establishing a technical cooperation network for taxonomic capacity building in North Africa as a possible model for the SW Asia region.

Redução do volume de vinhaça através do processo de evaporação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem matemática do processo industrial de coqueamento retardado.

A unidade de coqueamento retardado é um processo térmico de conversão, utilizado pelas refinarias, para converter cargas residuais em produtos de baixo peso molecular e com alto valor agregado (gases, nafta e gasóleo) e coque verde de petróleo. Um pequeno aumento no rendimento líquido da unidade de coqueamento retardado proporciona benefícios económicos consideráveis, especialmente no destilado líquido. A concorrência no mercado, as restrições sobre as especificações do produto e gargalos operacionais exigem um melhor planejamento da produção. Portanto, o desenvolvimento de novas estratégias e modelos matemáticos, focados em melhores condições de operação do processo industrial e formulações de produtos, é essencial para alcançar melhores rendimentos e um acompanhamento mais preciso da qualidade do produto. Este trabalho tem como objetivo o desenvolvimento de modelo matemático do conjunto forno-reator do processo de coqueamento, a partir de informações obtidas em uma planta industrial. O modelo proposto é baseado na caracterização da carga e dos produtos em pseudocomponentes, modelos cinéticos de grupos e condições de equilíbrio liquido-vapor. Além disso, são discutidos os principais desafios para o desenvolver o modelo matemático do forno e do reator, bem como a caracterização rigorosa do resíduo de vácuo e dos produtos para determinar os parâmetros que afetam a morfologia do coque e a zona de reação no interior do reator de coque.

Measuring and analyzing color and texture information in anatomical leaf cross sections: An approach using computer vision to aid plant species identification

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The Arabidopsis Information Resource (TAIR): a comprehensive database and web-based information retrieval, analysis, and visualization system for a model plant

Arabidopsis thaliana, a small annual plant belonging to the mustard family, is the subject of study by an estimated 7000 researchers around the world. In addition to the large body of genetic, physiological and biochemical data gathered for this plant, it will be the first higher plant genome to be completely sequenced, with completion expected at the end of the year 2000. The sequencing effort has been coordinated by an international collaboration, the Arabidopsis Genome Initiative (AGI). The rationale for intensive investigation of Arabidopsis is that it is an excellent model for higher plants. In order to maximize use of the knowledge gained about this plant, there is a need for a comprehensive database and information retrieval and analysis system that will provide user-friendly access to Arabidopsis information. This paper describes the initial steps we have taken toward realizing these goals in a project called The Arabidopsis Information Resource (TAIR) (www.arabidopsis.org).