No description available.

Long term planning is the process used by a mining organization to develop a strategic business plan. The plan describes how the ore is going to be extracted over the mine life. As such, it is routinely updated in order to declare annual reserves, evaluate options and react to changes in the initial assumptions. Inputs into this planning process are the parameters that drive profitability. The purpose of this research is to understand and document the open pit long range planning process in current use by mining operations, isolate the input parameters that feed into this process, and conduct a critical review of these parameters in an effort to develop a more robust plan. The thesis also searches for answers to the following questions: Can the copper metal price be correlated to a factor (or a set of factors)? Can the price be predicted? How useful is the work of O’Hara and Taylor in predicting the mine life and milling rate at the scoping study stage? How can the pit by pit graph be used to better guide the selection of the ultimate pit? Is there a realized benefit from operating at an elevated cutoff grade strategy with low grade copper porphyry deposits? The research concludes with a proposal (not common in the industry) for the selection of the metal price as an input into the mine planning process. This approach, if implemented, can give a corporation a dominant position in the future. The research also presents a modified approach for the selection of the ultimate pit. Furthermore, the use of Taylor’s rule in predicting the mine life was tested and verified on an open pit copper porphyry deposit and the benefits of operating at an elevated cutoff grade strategy was demonstrated for the deposit. / Thesis (Master, Mining Engineering) -- Queen's University, 2013-04-30 12:57:12.084

This thesis focuses on the development of novel data mining techniques that convert user interactions in social media networks into readable data that would benefit users, companies, and governments. The readable data can either warn of dangerous side effects of pharmaceutical drugs or improve intervention strategies. A weighted model enabled us to represent user activity in the network, that allowed us to reflect user sentiment of a pharmaceutical drug and/or service. The result is an accurate representation of user sentiment. This approach, when modified for specific diseases, drugs, and services, can enable rapid user feedback that can be converted into rapid responses from consumers to industry and government to withdraw possibly dangerous drugs and services from the market or improve said drugs and services. Our approach monitors social media networks in real-time, enabling government and industry to rapidly respond to consumer sentiment of pharmaceutical drugs and services. / <p>QC 20170314</p>

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No description available.

ABSTRACT This dissertation examines the environmental and socioeconomic impacts of mining and tourism industries in China with a goal of understanding whether or not these two sectors are mutually compatible in achieving sustainable developme nt. Yunnan, a province in southwest China was selected as the study area because of its high potential for growth in both sectors. A macro-level Geographic Information System (GIS) analysis and a case study were employed to understand patterns of change and linkages. Paper 1 addresses the spatial patterns of mining and tourism activities by a GIS analysis. Spatial cluster analysis of major tourism attractions and mining sites concludes that 1) mining sites tend to be clustered, whereas locations of tourism attractions do not exhibit any significant evidence of aggregation. 2) Mining and tourism sites tend to cluster at the scale of 25 kilometers to 45 kilometers. However, 3) mining/tourism sites relatively far away from each other attain more economic income. Incorporating the social context and development history of the study area, the results imply that although mining activities may have some negative impact on tourism attractions making those nearby a mining site earn less income; some factors tie the two industries together such as investing capacity of and policy support from local government. Paper 2 considers the environmental health and socioeconomic status of the areas where mining or tourism activities cluster. Statistical analysis on prefecture level and county level detects no significant difference between areas of mining and tourism in terms of economic status (GDP and poverty rate) and social development (ratio of researchers, agricultural technicians, teachers and doctors, and access to pipe water, major roads and telephone). For environmental indicators, the air pollution and soil erosion index perform better in tourism areas than mining areas, while other variables including forestry coverage, water quality and an overall ecological health index detect little difference between mining and tourism areas. The paper concludes that sector difference in economic and environmental performances may be over-emphasized. How mining and tourism contribute to or impact the sustainability of regional development needs to be further studied within the local context. Paper 3 develops a case study of a Tibet village called Jisha in northwest Yunnan to explore management as a factor influencing tourism impacts on environment and local economic productivity. Jisha village experiences two types of tourism development. A community based small-scale tourism development project, initiated by a local nongovernment organization, aims to partner with Jisha residents to build a Tibetan style hostel which will bring tourism income to the villagers. An external company plans to construct a hotel, golf course and chair- lift by making a large investment in the community. Although some aspects of this project are likely to benefit the local community better than others, local residents are resisting all development efforts. Results of the ethnographic study show organization- led projects work better in benefiting local people and conserving environment than corporation businesses. However, such ventures may not have the multiplier effect on the local economy as external corporate businesses because of the moderate size of the investment.

The problem of barium sulphate scale in oil field operations has been studied from the analytical point of view. The literature on barium sulphate solubility in different media was reviewed and an assessment of the problem made. A new method was developed for the determination of barium in the presence of high concentrations of other alkaline earth and sodium ions. DCTA was used for differential complexing at appropriate pH and sulphonazo III was used as the reagent. Barium sulphate solubility was determined experimentally at 25 - 95 C and pressures ranging from atmospheric, to 9000 psig, in water and in various concentrations of sodium chloride solutions to simulate oil reservoir conditions. The trends in solubility were explained on the basis of complex formation with the sodium and chloride ions present. A critical review was made of the available stability constant values for the complexes concerned and some of the values in the literature were recalculated and also experimentally determined. A mechanistic theory was developed to account for the combined effects of temperature, pressure and salt concentration. A rapid method for the initial screening of chemical scale inhibitors was also developed and discussed. The significance of the work for dealing with field problems was appraised and future developments suggested.

A dissertation submitted to the faculty of engineering, University of the Witwatersrand, Johannesburg, in partial fulfilment for the degree of master of science in engineering JULY, 1984 / It is economically desirable to build dumps of coarse mine waste as high a, possible. A review of available literature indicated that a significant decrease in the strength of coarse material occurs at high stress levels. A literature survey was conducted to establish possible dump failure modes and methods of slope stability analysis appropriate to dumps. Consolidated, drained triaxial tests on several mine waste materials have shown that above a normal stress of 1600 kPa, slight curvature of the Mohr strength envelope occurs. However, sample stability analyses show that there is little or no difference in factors of safety for typical dump slopes, obtained by using a constant average friction angle, or by using variable friction angles derived from a power equation which describes the curved strength envelope. Thus it is concluded that the curvature of the strength envelope, has little influence on the factor of safety of dump slopes.

by Ng, King Kwok. / Thesis submitted in: December 1999. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 99-104). / Abstracts in English and Chinese. / Acknowledgments --- p.ii / Abstract --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Data Mining and Rule Discovery --- p.1 / Chapter 1.1.1 --- Association Rule --- p.3 / Chapter 1.1.2 --- Sequential Pattern --- p.4 / Chapter 1.1.3 --- Dependence Rule --- p.6 / Chapter 1.2 --- Association Rule Mining --- p.8 / Chapter 1.3 --- Contributions --- p.9 / Chapter 1.4 --- Outline of the Thesis --- p.10 / Chapter 2 --- Related Work on Association Rule Mining --- p.11 / Chapter 2.1 --- Batch Algorithms --- p.11 / Chapter 2.1.1 --- The Apriori Algorithm --- p.11 / Chapter 2.1.2 --- The DIC Algorithm --- p.13 / Chapter 2.1.3 --- The Partition Algorithm --- p.15 / Chapter 2.1.4 --- The Sampling Algorithm --- p.15 / Chapter 2.2 --- Incremental Association Rule Mining --- p.16 / Chapter 2.2.1 --- The FUP Algorithm --- p.17 / Chapter 2.2.2 --- The FUP2 Algorithm --- p.18 / Chapter 2.2.3 --- The FUP* Algorithm --- p.19 / Chapter 2.2.4 --- The Negative Border Method --- p.20 / Chapter 2.2.5 --- Limitations of Existing Incremental Association Rule Mining Algorithms --- p.21 / Chapter 3 --- A New Incremental Association Rule Mining Approach --- p.23 / Chapter 3.1 --- Outline for the Proposed Approach --- p.23 / Chapter 3.2 --- Our New Approach --- p.26 / Chapter 3.2.1 --- The IDIC_M Algorithm --- p.26 / Chapter 3.2.2 --- A Variant Algorithm: The IDIC_S Algorithm --- p.29 / Chapter 3.3 --- Performance Evaluation of Our Approach --- p.30 / Chapter 3.3.1 --- Experimental Results for Algorithm IDIC_M --- p.30 / Chapter 3.3.2 --- Experimental Results for Algorithm IDIC_S --- p.35 / Chapter 3.4 --- Discussion --- p.39 / Chapter 4 --- Related Work on Multiple_Level AR and Belief-Driven Mining --- p.41 / Chapter 4.1 --- Background on Multiple_Level Association Rules --- p.41 / Chapter 4.2 --- Related Work on Multiple-Level Association Rules --- p.42 / Chapter 4.2.1 --- The Basic Algorithm --- p.42 / Chapter 4.2.2 --- The Cumulate Algorithm --- p.44 / Chapter 4.2.3 --- The EstMerge Algorithm --- p.44 / Chapter 4.2.4 --- Using Hierarchy-Information Encoded Transaction Table --- p.45 / Chapter 4.3 --- Background on Rule Mining in the Presence of User Belief --- p.46 / Chapter 4.4 --- Related Work on Rule Mining in the Presence of User Belief --- p.47 / Chapter 4.4.1 --- Post-Analysis of Learned Rules --- p.47 / Chapter 4.4.2 --- Using General Impressions to Analyze Discovered Classification Rules --- p.49 / Chapter 4.4.3 --- A Belief-Driven Method for Discovering Unexpected Patterns --- p.50 / Chapter 4.4.4 --- Constraint-Based Rule Mining --- p.51 / Chapter 4.5 --- Limitations of Existing Approaches --- p.52 / Chapter 5 --- Multiple-Level Association Rules Mining in the Presence of User Belief --- p.54 / Chapter 5.1 --- User Belief Under Taxonomy --- p.55 / Chapter 5.2 --- Formal Definition of Rule Interestingness --- p.57 / Chapter 5.3 --- The MARUB_E Mining Algorithm --- p.61 / Chapter 6 --- Experiments on MARUB_E --- p.64 / Chapter 6.1 --- Preliminary Experiments --- p.64 / Chapter 6.2 --- Experiments on Synthetic Data --- p.68 / Chapter 6.3 --- Experiments on Real Data --- p.71 / Chapter 7 --- Dealing with Vague Belief of User --- p.76 / Chapter 7.1 --- User Belief Under Taxonomy --- p.76 / Chapter 7.2 --- Relationship with Constraint-Based Rule Mining --- p.79 / Chapter 7.3 --- Formal Definition of Rule Interestingness --- p.79 / Chapter 7.4 --- The MARUB_V Mining Algorithm --- p.81 / Chapter 8 --- Experiments on MARUB_V --- p.84 / Chapter 8.1 --- Preliminary Experiments --- p.84 / Chapter 8.1.1 --- Experiments on Synthetic Data --- p.87 / Chapter 8.1.2 --- Experiments on Real Data --- p.93 / Chapter 9 --- Conclusions and Future Work --- p.96 / Chapter 9.1 --- Conclusions --- p.95 / Chapter 9.2 --- Future Work --- p.97

Li Zhiheng. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 77-79). / Abstracts in English and Chinese. / Abstract (English) --- p.i / Acknowledgement --- p.iii / Contents --- p.iv / List of Figures --- p.vii / List of Tables --- p.ix / List of Algorithms --- p.x / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Review of frequent itemset mining --- p.1 / Chapter 1.2 --- Data mining proxy serving for large numbers of users --- p.3 / Chapter 1.3 --- Privacy issues on proxy service --- p.4 / Chapter 1.4 --- Organization of the thesis --- p.6 / Chapter 2 --- Frequent itemsets mining --- p.7 / Chapter 2.1 --- Preliminaries --- p.7 / Chapter 2.2 --- Data mining queries --- p.8 / Chapter 2.3 --- A running example --- p.10 / Chapter 3 --- Data Mining Proxy --- p.13 / Chapter 3.1 --- Load data for mining --- p.14 / Chapter 3.2 --- An Overview --- p.16 / Chapter 3.3 --- Tree Operations --- p.16 / Chapter 3.4 --- Data Mining Usages and Observations --- p.18 / Chapter 4 --- Implementation of Proxy --- p.23 / Chapter 4.1 --- Problems in implementation --- p.23 / Chapter 4.2 --- A Coding Scheme --- p.24 / Chapter 4.3 --- On-disk/In-Memory Tree Representations and Mining --- p.27 / Chapter 4.4 --- Tree Operation Implementations --- p.29 / Chapter 4.4.1 --- Tree Projection Operation Implementations: πd2m( )and πm2m( ) --- p.31 / Chapter 4.4.2 --- Tree Merge Operation Implementations: --- p.33 / Chapter 4.4.3 --- Frequent Itemset/Sub-itemset Tree Building Request --- p.37 / Chapter 4.4.4 --- The Tree Projection Operation π and Frequent Super- itemset Tree Building Request --- p.39 / Chapter 5 --- Performance Studies --- p.45 / Chapter 5.1 --- Mining with Different Sizes of Trees in Main Memory --- p.47 / Chapter 5.2 --- Constructing Trees in Main Memory --- p.48 / Chapter 5.3 --- Query Patterns and Number of Queries --- p.50 / Chapter 5.4 --- Testing Sub-itemset Queries with Different Memory Sizes --- p.51 / Chapter 5.5 --- Replacement Strategies --- p.51 / Chapter 6 --- Privacy Preserving in Proxy Service --- p.61 / Chapter 6.1 --- Data Union Regardless Privacy Preserving --- p.61 / Chapter 6.2 --- Secure Data Union --- p.65 / Chapter 6.2.1 --- Secure Multi-party Computation --- p.65 / Chapter 6.2.2 --- Basic Methods of Privacy Preserving in Semi-honest Envi- ronment --- p.67 / Chapter 6.2.3 --- Privacy Preserving On Data Union --- p.70 / Chapter 6.3 --- Discussions --- p.73 / Chapter 7 --- Conclusion --- p.75 / Bibliography --- p.77