A matching scheme for aquaculture; a graphing calculator approach

Graphing Calculator Technology possesses a lot of capabilities in solving a variety of scientific and non-scientific problems. Its programming abilities make it very flexible to use. Unfortunately, it has been underutilised. In this paper, we develop an application with the graphing calculator to handle the processes in a Matching Scheme for Assigning Fish Types to Ponds. The application gives an inclusion matrix which is used as the basis of the matching and finally gives summary of the assignment..Journal of Science and Technology (Ghana) Vol. 27 (2) 2007: pp. 99-10

Mining associations and roles: role of feature extraction

One of the ultimate aims of biomedical text mining would be to extract both explicit and implicit associations between different types of entities. In addition, assigning roles that entities have or may have in biological processes is also of interest. In this talk I will be discussing our experience in selecting and engineering textual features that can help in mining associations and roles from literature. Depending on tasks and entities involved, we have used four types of features: from simple words and terms, to words and semantic classes, to textual contexts, to contexts augmented with additional background attributes. The main epilogue is that both NLP- and domain-knowledge driven feature engineering are needed for successful mining of associations and roles

Soil Quality Assessment and Management

Soil quality is related to the capacity of soil to deliver ecosystem services on a sustainable basis. Effective management of soil within grasslands can deliver many benefits to mankind but poor management may cause loss of soil quality from erosion, loss of organic matter, physical deterioration etc. Services are delivered from soil by biological processes. Soil quality depends on the form and condition of the soil habitat. Fixed factors (e.g. texture) are useful for assigning soil to types. Variable factors (e.g. organic carbon) can then be used to assess quality within soil types, by reference to percentiles of the distribution of values for a given type. Systematic monitoring of soil quality is useful for identifying the possible need for field level actions at regional to landscape scales. Assessment and management of soil quality at a local scale is supported more efficiently and effectively by in-field observation of soil profiles

Soil Quality Assessment and Management

Key points 1. Soil quality is related to the capacity of soil to deliver ecosystem services on a sustainable basis. 2. Effective management of soil within grasslands can deliver many benefits to mankind but poor management may cause loss of soil quality from erosion, loss of organic matter, physical deterioration etc. 3. Services are delivered from soil by biological processes. Soil quality depends on the form and condition of the soil habitat. Fixed factors (e.g. texture) are useful for assigning soil to types. Variable factors (e.g. organic carbon) can then be used to assess quality within soil types, by reference to percentiles of the distribution of values for a given type. 4. Systematic monitoring of soil quality is useful for identifying the possible need for field level actions at regional to landscape scales. Assessment and management of soil quality at a local scale is supported more efficiently and effectively by in-field observation of soil profiles

Run-time Mapping of Applications to a Heterogeneous SoC

This paper presents an iterative hierarchical approach to map an application to a parallel heterogeneous SoC architecture at run-time. The application is modeled as a set of communicating processes. The optimization objective is to minimize the energy consumption of the SoC, while still providing the required Quality of Service. This approach is flexible, scalable and the performance looks promisin

The Integration of Six Sigma and Lean Manufacturing

The Lean Manufacturing and Six Sigma methodologies are increasingly being executed together and what we have today is the united work of both, and companies have come to understand that their integration makes it possible to take advantage of the strengths of both strategies, becoming a comprehensive and effective, suitable for solving various types of problems related to the improvement of processes and products. Routine management, process standardization and the study of times and movements to eliminate waste are key features of Lean Manufacturing, while finding the root cause for problem solving requires further deepening and analysis in Six Sigma. The Lean and Six Sigma can be viewed as useful tools for the operation of the systems of improvement, innovation and routine management that integrate the system of business management. The companies have implemented Lean Manufacturing with the aim of improving the elimination of waste in the processes. Companies using Six Sigma have found that by selecting projects and assigning them to teams, after a monitoring, the results would appear. Companies that implement Lean Six Sigma often awareness of the teams, seeking projects from different scopes with the focus of improving the structure of processes and achieve the results

Understanding Science Through Knowledge Organizers: An Introduction

We propose, in this paper, a teaching program based on a grammar of scientific language borrowed mostly from the area of knowledge representation in computer science and logic. The paper introduces an operationizable framework for understanding knowledge using knowledge representation (KR) methodology. We start with organizing concepts based on their cognitive function, followed by assigning valid and authentic semantic relations to the concepts. We propose that in science education, students can understand better if they organize their knowledge using the KR principles. The process, we claim, can help them to align their conceptual framework with that of experts which we assume is the goal of science education