Vision science and technology for supervised intelligent space robots

The focus of recent work in robotic vision for application in intelligent space robots such as the Extravehicular Activity (EVA) Retriever is in visual function, that is, how information about the space world is derived and then conveyed to cognition. The goal of this work in visual function is first to understand how the relevant structure of the surrounding world is evidenced by regularities among the pixels of images, then to understand how these regularities are mapped on the premises that form the primitive elements of cognition, and then to apply these understandings with the elements of visual processing (algorithms) and visual mechanism (machine organization) to intelligent space robot simulations and test beds. Since visual perception is the process of recognizing regularities in images that are known on the basis of a model of the world to be reliable related to causal structure in the environment (because perception attaches meaning to the link between a conception of the environment and the objective environment), the work involves understanding generic, generally applicable models of world structure (not merely objects) and how that structure evidences itself in images

A BIOTIC CONTROL PERSPECTIVE ON NITRATE CONTAMINATION OF GROUNDWATER FROM AGRICULTURAL PRODUCTION

Agronomists consider the continuity and nutrient capturing properties of cover crops as important determinants of nutrient cycling in agricultural systems. Managing for these biotic control functions can help limit nutrient loss and groundwater contamination between main crop harvests. This simulation study highlights the potential role of cover crop management in a welfare economics framework. The objective is to find the optimal combination of nutrient input to the main crop, the extent of off-season cover crops, and crop functional diversity to maximize the sum of benefits from agricultural production and groundwater protection.Crop Production/Industries,

The Approach of Ecological Economics

This paper discusses the major tenets of ecological economics - including value pluralism, methodological pluralism, and multi-criteria policy assessment. Ecological economics offers viable alternatives to the theoretical foundations and policy recommendations of neoclassical welfare economics. A revolution in neoclassical economics is currently taking place and the core assumptions of welfare economics are being replaced with more realistic models of consumer and firm behavior. But we argue that these new theoretical and empirical findings are largely ignored in applied work and policy applications in environmental economics. As the only heterodox school of economics focusing on the human economy both as a social system and as one imbedded in the biophysical universe, and thus both holistic and scientifically based, ecological economics is poised to play a leading role in recasting the scope and method of economic science.

Ecological Economics at a Crossroads

During the past decade theoretical and empirical advances in neoclassical economics have resulted in the virtual rejection of the two pillars of traditional welfare economics-- rational economic man and perfect competition. Surprisingly, many ecological economists are moving closer to the discredited neo-Walrasian welfare model just at the time it is being replaced within the mainstream. We call for a return to the roots of ecological economics and an engagement with current developments in mainstream theory.

Conference on Intelligent Robotics in Field, Factory, Service, and Space (CIRFFSS 1994), volume 1

The AIAA/NASA Conference on Intelligent Robotics in Field, Factory, Service, and Space (CIRFFSS '94) was originally proposed because of the strong belief that America's problems of global economic competitiveness and job creation and preservation can partly be solved by the use of intelligent robotics, which are also required for human space exploration missions. Individual sessions addressed nuclear industry, agile manufacturing, security/building monitoring, on-orbit applications, vision and sensing technologies, situated control and low-level control, robotic systems architecture, environmental restoration and waste management, robotic remanufacturing, and healthcare applications

Increased Knowledge Transfer and Content Management

Is it possible to have too much information? This is a question that organizations are trying to address. In today’s information-driven world, organizations have more data than ever to store, access, and retrieve. But how do organizations transform this wealth of information it into a knowledge asset and a strategic advantage? Furthermore, these knowledge assets need to be accessed and retrieved by different parts of an organization. This paper looks at the challenges encountered by United States Northern Command (USNORTHCOM) to transform documents and content into knowledge that different groups within the organization could leverage. Based on the challenges experienced by USNORTHCOM, this paper proposes a model to assist organizations with the transfer of knowledge between groups