Classifiers for modeling of mineral potential

[Extract] Classification and allocation of land-use is a major policy objective in most countries. Such an undertaking, however, in the face of competing demands from different stakeholders, requires reliable information on resources potential. This type of information enables policy decision-makers to estimate socio-economic benefits from different possible land-use types and then to allocate most suitable land-use. The potential for several types of resources occurring on the earth's surface (e.g., forest, soil, etc.) is generally easier to determine than those occurring in the subsurface (e.g., mineral deposits, etc.). In many situations, therefore, information on potential for subsurface occurring resources is not among the inputs to land-use decision-making [85]. Consequently, many potentially mineralized lands are alienated usually to, say, further exploration and exploitation of mineral deposits. Areas with mineral potential are characterized by geological features associated genetically and spatially with the type of mineral deposits sought. The term 'mineral deposits' means .accumulations or concentrations of one or more useful naturally occurring substances, which are otherwise usually distributed sparsely in the earth's crust. The term 'mineralization' refers to collective geological processes that result in formation of mineral deposits. The term 'mineral potential' describes the probability or favorability for occurrence of mineral deposits or mineralization. The geological features characteristic of mineralized land, which are called recognition criteria, are spatial objects indicative of or produced by individual geological processes that acted together to form mineral deposits. Recognition criteria are sometimes directly observable; more often, their presence is inferred from one or more geographically referenced (or spatial) datasets, which are processed and analyzed appropriately to enhance, extract, and represent the recognition criteria as spatial evidence or predictor maps. Mineral potential mapping then involves integration of predictor maps in order to classify areas of unique combinations of spatial predictor patterns, called unique conditions [51] as either barren or mineralized with respect to the mineral deposit-type sought

A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing

Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.Comment: 46 pages, 16 figures, Technical Repor

Research & scholarly achievements, July 1, 1985 - June 30, 1986

Annual summary of scholarly activities at UCF for the period from July 1, 1985 to June 30, 1986. This report highlights the contributions to scholarship by the Faculty during this period, including books and monographs, articles, creative works, presentations, grants and contracts

TSUNAMI INFORMATION SOURCES PART 3

This is Part 3 of Tsunami Information Sources published by Robert L. Wiegel, as Technical Report UCB/HEL 2006-3 of the Hydraulic Engineering Laboratory of the Department of Civil & Environmental Engineering of the University of California at Berkeley. Part 3 is published in "SCIENCE OF TSUNAMI HAZARDS" -with the author's permission -so that it can receive wider distribution and use by the Tsunami Scientific Community

UA66/8/3 Annual Report

Annual report created by and about WKU Geography & Geology

Air Force Institute of Technology Contributions to Air Force Research and Development, Calendar Year 1987

From the introduction:The primary mission of the Air Force Institute of Technology (AFIT) is education, but research and consulting are essential integral elements in the process. This report highlights AFIT\u27s contributions to Air Force research and development activities [in 1987]

Good Governance Practices in E-Recruitment Adoption in Nigerian Public Service

The global clamour for good governance in the conduct of public affairs warranted some Nigeria public sector organisations to adopt technology as their recruitment strategy for transparency, accountability, responsiveness, accessibility and efficient service delivery. The introduction of electronic government forces some public organisations to jettison conventional recruitment strategy in favour of electronic recruitment. But different individuals and groups complaint of discrepancies emanated from the conduct of e-recruitment exercise in Nigerian public service. This study investigated the applicability of good governance dimensions in the conduct e-recruitment in some selected Nigerian public sector organisations. Quantitative and qualitative methods were used to collect data from the two selected organisations in line with research questions. After preliminary data screening, 326 questionnaires were used in quantitative data analysis while about 13 respondents were interviewed. Regression analysis was used to analyse responses generated from the questionnaires while thematic analysis was used to analyse the data recorded from interviews. This study empirically tested 13 hypotheses out of which 9 are supported and 4 are not supported. It indicates significance relationship between e-recruitment adoption and the good governance practices. It also found that e-recruitment adoption mediates the relationship between perceived trust and perceived quality with good governance practices. The results further reveals that an increase in R2 when mediator is added from R2 =.203 to R2 =.356 becomes one of the contributions to theory and practices. Furthermore, results from qualitative findings reveals that undue political influence, institutional problems, monetizing e-recruitment, poor accessibility and distorted selection procedures impinge the realisation of good governance in e-recruitment adoption. The study concludes that government should put effective institutional framework in motion that will enhance the quality of good governance in e-recruitment in Nigerian public service

Air Force Institute of Technology Research Report 2001

This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, and Engineering Physics

Productive Efficiency of Energy-Aware Data Centers

Information technologies must be made aware of the sustainability of cost reduction. Data centers may reach energy consumption levels comparable to many industrial facilities and small-sized towns. Therefore, innovative and transparent energy policies should be applied to improve energy consumption and deliver the best performance. This paper compares, analyzes and evaluates various energy efficiency policies, which shut down underutilized machines, on an extensive set of data-center environments. Data envelopment analysis (DEA) is then conducted for the detection of the best energy efficiency policy and data-center characterization for each case. This analysis evaluates energy consumption and performance indicators for natural DEA and constant returns to scale (CRS). We identify the best energy policies and scheduling strategies for high and low data-center demands and for medium-sized and large data-centers; moreover, this work enables data-center managers to detect inefficiencies and to implement further corrective actions.Universidad de Sevilla 2018/0000052