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Finally, the plan results indicate the efficiency of the som in visualizing the state of streams in the two states and aid the watershed manager in making and implementing decisions which will ultimately lead to restoration of the degraded watersheds. Advisor: dream Elias Manolakos, thesis Committee: Prof. Vladimir novotny(civil and Environmental Engineering). One of the most exciting features of X6 is EndNoteSync. Youll be able to access your references from anywhere and manage your. EndNote library on multiple computers. In order to use this capability, you must have.
An efficient data summarization and visualization tool, besides aiding the resume watershed manager in formulating vital decisions, also helps to communicate and disseminate to a wider audience the physical conditions and possible approaches for watershed restoration. The aim of this work is to provide such an efficient data analysis and visualization tool in order to help understanding the effects of anthropogenic stress on the fish population through the fish Index of biotic Integrity (IBI). Organizing Map (som an unsupervised neural network, is employed to pattern the sampling sites based on similar fish metrics (attributes of the fish ibi) characteristics. The clustering of the som neurons allows us to summarize the conclusions obtained in the analysis at the state level. Different visualizations are realized to explore the interrelationships between the environmental variables, the fish metrics and the fish ibi. Finally, correspondence Analysis and Canonical Correspondence Analysis help us in drawing conclusions about specific fish species and the role of the environmental variables in maintaining the perfect abode for fishes. The methodology was applied to two large size datasets from Maryland and Ohio comprising of variables related to water chemistry, physical habitat and land uses, in addition to the biological data. Ibi on the som clearly separated the regions with good ibi from the regions with poor values, validating the clustering approach employed. The high influence of habitat variables, compared to variables from other domains, confirms the growing trend in management policies that habitat should be a major consideration in developing non point source strategies.
version. On a wide range of benchmarks, the incremental collector we present is able to sustain high mutator utilization (about 80 during collection cycles) at a low cost. This work is implemented in an industrial-strength implementation of the concurrent functional programming language Erlang. Our eventual goal is to use the hybrid architecture and the incremental garbage collector as the basis for an efficient multi-threaded implementation of Erlang. The work described in this thesis is a big step in that direction. Untitled Document, hardik virani, title: "Self Organizing feature maps combined with Ecological. Ordination Techniques for Effective watershed Management". Ms thesis Defense, date : April 20, 2005, abstract: In recent years there has been an increasing recognition for the application of integrated watershed management to the management of land and water resources, aimed at minimizing degradation and maintaining the overall quality of the surrounding.
It is therefore important to investigate how different memory architectures and memory management schemes affect the implementation of concurrent software and what performance tradeoffs are involved. This thesis investigates ways of efficiently implementing the memory architecture and memory manager in a concurrent programming language. The concurrency model which we explore is based on message passing with copying semantics. We start by presenting the implementation of three different memory architectures for concurrent software and give a detailed characterization of their pros and cons regarding message passing and efficiency in terms tree of memory management. The issue examined is whether to use private memory for all processes in a program or if there may be benefits in sharing all or parts of the memory. In one of the architectures looked at, called hybrid, a static analysis called message analysis is used to guide the allocation of message data. Because the hybrid architecture is the enabling technology for a scalable multi-threaded implementation, we then focus on the hybrid architecture and investigate how to manage the memory using different garbage collection techniques.
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Manual memory management good is error prone. Some of the errors it causes, in particular memory leaks and dangling pointers, are hard to find. Manual memory management becomes even harder when concurrency enters the picture. It therefore gets more and more important to overcome the problems of manual memory management in concurrent software as the interest in these applications increases with the development of new, multi-threaded, hardware. To ease the implementation of concurrent software many programming languages these days come with automatic memory management and support for concurrency. This support, called the concurrency model of the language, comes in many flavors (shared data structures, message passing, etc.). The performance and scalability of applications implemented using such programming languages depends on the concurrency model, the memory architecture, and the memory manager used by the language.