Low-cost autonomous 3-D monitoring systems for hydraulic engineering environments and applications with limited accuracy requirements

The details of developing autonomous 3-D motion monitoring systems based on commercial off-the-shelf (COTS) motion sensors for hydraulic environments are discussed. Possible areas of application, are river bed sediment transport monitoring and monitoring the agitation and other physical parameters inside milk vats with a mechanized agitator. Simplified calculations of inertial navigation systems (INSs) such as Euler angle method, MATLAB programs for further processing, power management systems for autonomous operation including the possibility of inductive power transfer (IPT) and use of microelectromechanical systems (MEMS) technology are discussed. Experimental results for proof of concept systems are highlighted

The management of intelligence-assisted finite element analysis technology

Artificial Intelligence (AI) approaches to Finite Element Analysis (FEA), have had tentative degrees of success over the last few years and some authors have argued that effective FEA can help in the manufacture reliability and safety aspects of engineered artefacts. The author of this paper reviews how such AI techniques have been applied and in this light, the author then uses a Fuzzy Cognitive Mapping (FCM), to develop a framework for the management of intelligence-assisted FEA

Rural Water Supply and Sanitation Challenges in Latin America for the Next Decade

A decade after a 1999 World Bank-sponsored meeting of Latin American water and sanitation experts, there has been progress in rural sanitation in that region. Nonetheless, the Millennium Development Goals for improved sanitation services may be out of reach. Looking toward the next ten years, important challenges for rural water and sanitation will include: ensuring long-term sustainability of sanitation services and monitoring systems, improving the contribution of municipal government, and establishing appropriate legal and financial policies

Institute of Northern Engineering 2006 Annual Report

MESSAGE FROM THE DIRECTOR -- OVERVIEW AND MISSION -- CENTER PROFILES -- ORGANIZATION & CENTER LEADERS -- ARCTIC ENERGY TECHNOLOGY DEVELOPMENT LABORATORY -- ALASKA UNIVERSITY TRANSPORTATION CENTER -- MINERAL INDUSTRY RESEARCH LABORATORY -- PETROLEUM DEVELOPMENT LABORATORY -- WATER & ENVIRONMENTAL RESEARCH CENTER -- INE GENERAL RESEARCH -- ACCOMPLISHMENTS 2006 -- GOALS 2007 -- RESOURCES, FUNDING, AND EXPENDITURE

Root zone salinity management using fractional skimming wells with pressurized irrigation: Inception report

Wells / Aquifers / Pumping / Groundwater irrigation / Water quality / Salinity control / Irrigation programs / Climate / Waterlogging / Drainage / Soils / Land use / Cropping systems / Farm income

AI and OR in management of operations: history and trends

The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested