Using clustering techniques for data classification is very common. In this paper a Self-Organizing Map model is used to carry out an estimation of the process state in a wastewater biological treatment using clustering algorithms and validation indexes. The estimation is used to improve the efficiency of the treatment plant. Key-Words: Self-organizing mapping, clustering, validation, wastewate...

__________________________________________________________________________________ *Correspondence: Viroj Wiwanitkit, M.D., Department of Laboratory Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand 10330; Tel: 662 256 4136; Fax: 662 218 3640; e-mail: [email protected]

Graph Theoretic Process Network Synthesis is described as an introduction to biological networks. Genetic, protein and metabolic systems are considered. The theoretical work of Kauffman is discussed and amplified by critical property excursions. The scaling apparent in biological systems is shown. Applications to evolution and reverse engineering are construed. The use of several programs, such...

1. Abstract The aim of this paper is to determine the optimal design and operation of an activated sludge system that is being installed in a small town in the north of Portugal. This process design takes into consideration real data in order to define the objective cost function which includes both investment and operation costs. The collected data were also used to characterize the wastewater...

A mathematical model has been developed to study the process of freezing in biological organs. The model consists of a repetitive unit structure comprising a cylinder of tissue with an axial blood vessel (Krogh cylinder) and it is analysed by the methods of irreversible thermodynamics. The mathematical simulation of the freezing process in liver tissue compares remarkably well with experimental...

General abstract: Here we introduce biosemiotics as a field of research that develops models of life processes focusing on their informational aspects. Peirce’s general concept of semiosis can be used to analyze such processes, and provide a powerful basis for understanding the emergence of meaning in living systems, by contributing to the construction of a theory of biological information. Pei...

OBJECTIVE We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis regulation. METHODS We cast both models and background knowledge in terms of processes that interact to account for behavior. We also describe IPM, an algorithm for inducing quantitative process models from...

water contaminated with petroleum hydrocarbons has harmful effects on health, economy and environment. in this study, photolysis process for treating petroleum hydrocarbons was investigated. hence different initial cods with different uv-c radiation power were examined. based on the energy consumption per unit of cod removed, cod of 350 mg/l and radiation power of 80 w were chosen as the optimu...

Semantic.mining.is.an.essential.part.in.knowledgebase.and.decision.support.systems.where.it.enables.the. extraction.of.useful.knowledge.form.available.databases.with.the.ultimate.goal.of.supporting.the.decision. making.process..In.process.systems.engineering,.decisions.are.made.throughout.plant./.process./.product. life.cycles..The.provision.of.smart.semantic.mining.techniques.will.improve.the....