Ensaios de tratabilidade de águas residuárias da indústria de piso de madeira por processos oxidativos avançados: ozônio e UV-C.

A indústria moveleira em geral e de piso de madeira é caracterizada por processos a seco. Em decorrência da limpeza e lavagem de maquinário e superfícies gera águas residuárias em baixos volumes porém altamente contaminadas com substâncias recalcitrantes de difícil tratamento. Com o objetivo de oferecer uma alternativa tecnológica de fácil operação (com uso mínimo de reagentes químicos), capaz de tratar tais águas, reduzir toxicidade e aumentar biodegradabilidade do efluente, viabilizando desta forma uma etapa subsequente de tratamento biológico, o presente trabalho conduziu ensaios de tratabilidade baseados em processos oxidativos avançados com águas residuárias provenientes de lavagens em uma indústria de piso de madeira em Nybro, Suécia, com DQO inicial de aproximadamente 45.000 mg/L e pH de 2,3-2,6. Após tratamento primário in situ com redução de 89% de DQO, os seguintes processos geradores de radicais OH foram testados em escala de laboratório: ozonização sem ajuste de pH (Etapa I); ozonização com ajuste de pH (Etapa II); e ozonização + UV-C com ajuste de pH (Etapa III). Os experimentos foram realizados em semi-batelada, utilizando-se um aparato com dois reatores conectados (de O3 e de UV), entre os quais foi mantido fluxo de recirculação em contracorrente com o gás. Para o desenho experimental, utilizou-se a metodologia de planejamento fatorial do tipo Delineamento Composto Central Rotacional (DCCR) utilizando-se como variáveis independentes, (i) vazão de recirculação entre os reatores (VR) com níveis variando de 0,3 a 3L/min; (ii) concentração de O3 na mistura gasosa injetada ([O3]) ou modo de dosagem cujos níveis variaram de 40 a 115 g/Nm3 e; (iii) pH inicial (Etapas II e III) com níveis que variaram de 3 a 11. A quantidade total de O3 fornecida até o final de cada ensaio foi fixada em 2 gramas de O3 para cada grama de DQO inicial (2:1). A eficiência de cada tratamento foi avaliada em função da redução de DQO, da remoção de COT e do consumo de O3. Para ozonização sem ajuste de pH foram alcançadas reduções de DQO e COT de 65 e 31% respectivamente. No tratamento com ajuste de pH sem UV, foram alcançadas reduções de DQO e COT de 85% e 43% com pHinicial = 7,0 enquanto que no tratamento com UV foi alcançada redução de DQO e COT de 93% e 56% respectivamente, com pHi = 9,38. Os resultados de respirometria com os efluentes dos tratamentos indicaram que a ozonização destas águas em pH baixo pode resultar na geração de subprodutos menos biodegradáveis. Entretanto, tais produtos não são gerados quando a ozonização é realizada em pH mais elevado (7,0), mesmo sem aplicação de UV, com doses de O3:DQOinicial menores que 1:1. O tratamento por ozonização pode, portanto, ser aplicado como uma etapa intermediária de tratamento das águas residuárias em questão, inclusive precedendo o tratamento biológico.

Transforming aquatic agricultural systems towards gender equality: a five country review

Aquatic agricultural systems (AAS) are systems in which the annual production dynamics of freshwater and/or coastal ecosystems contribute significantly to total household income. Improving the livelihood security and wellbeing of the estimated 250 million poor people dependent on AAS in Bangladesh, Cambodia, the Philippines, the Solomon Islands and Zambia is the goal of the Worldfish Center-led Consortium Research Program (CRP), “Harnessing the development potential of aquatic agricultural systems for development.” One component expected to contribute to sustainably achieving this goal is enhancing the gender and wider social equity of the social, economic and political systems within which the AAS function. The CRP’s focus on social equity, and particularly gender equity, responds to the limited progress to date in enhancing the inclusiveness of development outcomes through interventions that offer improved availability of resources and technologies without addressing the wider social constraints that marginalized populations face in making use of them. The CRP aims to both offer improved availability and address the wider social constraints in order to determine whether a multi-level approach that engages with individuals, households and communities, as well as the wider social, economic and political contexts in which they function, is more successful in extending development’s benefits to women and other excluded groups. Designing the research in development initiatives to test this hypothesis requires a solid understanding of each CRP country’s social, cultural and economic contexts and of the variations across them. This paper provides an initial input into developing this knowledge, based on a review of literature on agriculture, aquaculture and gender relations within the five focal countries. Before delving into the findings of the literature review, the paper first justifies the expectation that successfully achieving lasting wellbeing improvements for poor women and men dependent on AAS rests in part on advances in gender equity, and in light of this justification, presents the AAS CRP’s conceptual framew

Spoken document representations for probabilistic retrieval

This paper presents some developments in query expansion and document representation of our spoken document retrieval system and shows how various retrieval techniques affect performance for different sets of transcriptions derived from a common speech source. Modifications of the document representation are used, which combine several techniques for query expansion, knowledge-based on one hand and statistics-based on the other. Taken together, these techniques can improve Average Precision by over 19% relative to a system similar to that which we presented at TREC-7. These new experiments have also confirmed that the degradation of Average Precision due to a word error rate (WER) of 25% is quite small (3.7% relative) and can be reduced to almost zero (0.2% relative). The overall improvement of the retrieval system can also be observed for seven different sets of transcriptions from different recognition engines with a WER ranging from 24.8% to 61.5%. We hope to repeat these experiments when larger document collections become available, in order to evaluate the scalability of these techniques.

Why do firms acquire external technologies? Understanding the motivations for technology acquisitions

Why do firms acquire external technologies? Previous research indicates that there are a wide variety of motivations. These include the need to acquire valuable knowledge-based resources, to improve strategic flexibility, to experiment), to overcome organisational inertia, to mitigate risk and uncertainty, to reduce costs and development time in new product development, and the perception that the firm has the absorptive capacity to integrate acquisitions. In this paper we provide an in-depth literature review of the motivations for the acquisition of external technologies by firms. We find that these motivations can be broadly classed into four categories: (1) the development of technological capabilities, (2) the development of strategic options, (3) efficiency improvements, and (4) responses to the competitive environment. In light of this categorisation, we comment on how these different motivations connect to the wider issues of technology acquisition. © 2010 IEEE.

The role of artificial intelligence as 'text' within design

The paper describes a new approach to artificial intelligence (AI) and its role in design. This approach argues that AI can be seen as 'text', or in other words as a medium for the communication of design knowledge and information between designers. This paper will apply these ideas to reinterpreting an existing knowledge-based system (KBS) design tool, that is, CADET - a product design evaluation tool. The paper will discuss the authorial issues, amongst others, involved in the development of AI and KBS design tools by adopting this new approach. Consequently, the designers' rights and responsibilities will be better understood as the knowledge medium, through its concern with authorship, returns control to users rather than attributing the system with agent status. © 1998 Elsevier Science Ltd. All rights reserved.

facilitating formal specification acquisition by using recursive functions on context-free languages

Although formal specification techniques are very useful in software development, the acquisition of formal specifications is a difficult task. This paper presents the formal specification language LFC, which is designed to facilitate the acquisition and validation of formal specifications. LFC uses context-free languages for syntactic aspect and relies on a new kind of recursive functions, i.e. recursive functions on context-free languages, for semantic aspect of specifications. Construction and validation of LFC specifications are machine-aided. The basic ideas behind LFC, the main aspects of LFC, and the use of LFC and illustrative examples are described.

Evaluation of a combined wavelet and a combined principal component analysis classification system for BCG diagnostic problem

Heart disease is one of the main factor causing death in the developed countries. Over several decades, variety of electronic and computer technology have been developed to assist clinical practices for cardiac performance monitoring and heart disease diagnosis. Among these methods, Ballistocardiography (BCG) has an interesting feature that no electrodes are needed to be attached to the body during the measurement. Thus, it is provides a potential application to asses the patients heart condition in the home. In this paper, a comparison is made for two neural networks based BCG signal classification models. One system uses a principal component analysis (PCA) method, and the other a discrete wavelet transform, to reduce the input dimensionality. It is indicated that the combined wavelet transform and neural network has a more reliable performance than the combined PCA and neural network system. Moreover, the wavelet transform requires no prior knowledge of the statistical distribution of data samples and the computation complexity and training time are reduced.

基于知识的供应链决策框架

本文提出了一种基于知识的供应链决策框架,并且从理论和实践的角度详细探讨了知识积累和知识挖掘过程,充分利用知识优势,以期通过知识与推理机制的集成和人类智慧与枯燥数据之间的无缝链接来提高供应链性能。它不仅适用于供应链整体而且也适用于供应链各侧面。它可实现独立地、自动地、实时地及时决策以缩短顾客定货周期,降低库存,提高交付准确性和资源利用水平。决策框架同样也适用于其它类似的情况。

基于知识的计算机辅助工艺设计系统

介绍了一个较为通用的基于知识的计算机辅助工艺设计（ＣＡＰＰ）系统结构，包括知识表达和关联函数，知识库管理，任务分解与综合策略，解释机制，与其他系统的接口。

论以知识为基础的产品

深入探讨了以知识为基础的产品的概念，从而为各行各业的发展指出了广阔的前景。

基于意象知识的消歧体系

本文提出了一种可以表示常识及语言知识的意象知识体系。在这种知识的形式化表示基础上,给出了NLP中的消歧知识及其表示形式,以及基于消歧知识的消歧策略。最后,论述了这种方法实现上的可行性。

一种基于知识的自然景物解释

利用我们研制成的基于知识的区域分析系统,我们对自然景物图象做了分析、解释。本文介绍:(1)图象初始分割;(2)图象特征提取;(3)规则集构造。这里,图象初始分割采用的是模糊域方法,它基于Fuzzy C-means 算法,并在此基础上修改了收敛准则,增加了迭代分割功能。图象特征分为主持征及从特征,它们建立在层次化的区域数据结构上。适合于区域分析的规则集已包括三类规则,它们不仅具有较强的知识表示能力,而且易于控制及利用。本文介绍针对包括天空、道路、树木、建筑物等物体的简单景物图象所做的解释实验,并给出了实验结果.

流程企业计划调度体系结构研究

以石化企业为背景,在深入分析流程企业计划调度系统结构特征的基础上,结合流程企业计划调度的关键目标,提出了一种基于模型的中心化流程企业计划调度通用结构,突出了计划调度的中心地位.以此为指导,进一步建立并实现了基于知识的智能计划调度总体结构,为流程企业生产系统的运行优化提供了方法论的指导.

Toward a Theory of Representation Design

This research is concerned with designing representations for analytical reasoning problems (of the sort found on the GRE and LSAT). These problems test the ability to draw logical conclusions. A computer program was developed that takes as input a straightforward predicate calculus translation of a problem, requests additional information if necessary, decides what to represent and how, designs representations capturing the constraints of the problem, and creates and executes a LISP program that uses those representations to produce a solution. Even though these problems are typically difficult for theorem provers to solve, the LISP program that uses the designed representations is very efficient.