1,721,561 research outputs found
Shaw, William Thomas, TX4423
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/416362Surname: SHAW. Given Name(s) or Initials: WILLIAM THOMAS. Military Service Number or Last Known Location: TX4423. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 20343.238515
Item: [2016.0049.48623] "Shaw, William Thomas, TX4423
Shaw, William Frederick, V9829
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/416363Surname: SHAW. Given Name(s) or Initials: WILLIAM FREDERICK. Military Service Number or Last Known Location: V9829. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 25938.238516
Item: [2016.0049.48624] "Shaw, William Frederick, V9829
Shaw, William, [No Service Number]
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/416335Surname: SHAW. Given Name(s) or Initials: WILLIAM. Military Service Number or Last Known Location: [No Registration Number]. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 57226.238488
Item: [2016.0049.48596] "Shaw, William, [No Service Number]
The spatial and temporal variability of the Arctic atmospheric boundary layer and its effect on electromagnetic (EM)--propagation.
Get PDFhttp://archive.org/details/thespatialndtemp109452249
Alien Registration- Shaw, William J. (Bangor, Penobscot County)
Get PDFhttps://digitalmaine.com/alien_docs/13945/thumbnail.jp
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Holistic analysis of the effect on electricity cost in South Africa’s platinum mines when varying shift schedules according to time-of-use tariffs
Get PDFIn the past the cost of electricity was not a significant concern and was not common practice for mining companies to consider peak time-of-use (TOU) tariffs for their shift schedules. It has become more prevalent, as TOU tariffs continue increasing, to consider energy saving important. A study was carried out to analyse the mining operation of a South African deep-level platinum mine in respect of integrated load management, shift changes and TOU schedules. This was achieved by thoroughly analysing energy consumers, mine operational schedules and their interconnectedness. A specific mining system was analysed as a case study and a maximum savings scenario was determined, using the methodology formulated. The maximum savings scenario schedule change resulted in a 1.3% cost reduction. System improvements had an additional potential reduction effect of 8.4%, which was primarily the result of a reduction in compressors’ power consumption. The implications of the proposed schedule adjustments necessitated a realistic scenario. The realistic scenario had an effective financial reduction of 0.7%. The realistic schedule change, however, opened the door for large system operational improvements, which could increase the reduction potential by 7.6%. The study methods described illustrate the potential implications of integrated load management and operational schedule optimisation on the power demand and cost savings in the mining industry, specifically focusing on deep-level platinum mines
Using specific energy as a metric to characterise compressor system performance
No full textMine compressed air systems are inefficient and complex to analyse. There is no clear method which can be used to characterise the total performance of the supply side system in terms of the air supplied and energy consumed. A simplified and unbiased performance measuring method was lacking from research. An important implication of this study was to develop a simplified method which uses a single metric to determine the performance of a compressed air system relative to the compressor air supply and energy consumption. This metric used minimal information and can be used as a guide to improve performance as well. A compressed air system was analysed before and after project implementation, using the simplified method. The simplified method gave a good indication of the performance change as projects were implemented on the compressed air system, with an improvement of 6% on the average total specific energy from 104 to 98 Wh/m3. The off-peak specific energy decreased from 103 to 94 Wh/m3 which illustrates a 9% improvement. This study showed the possibility to characterise the performance of complex compressed air systems using a simplified metric. It can also be utilised to verify whether supply side initiatives were effectiv
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