High grade engineering, surveying and mining instruments /

Mode of access: Internet.

A text-book of coal-mining. For the use of colliery managers and others.

Short bibliography at end of each chapter.

Two reports: on the coal lands, mines and improvements of the Dauphin and Susquehanna coal company, and of the geological examinations, present condition and prospects of the Stony Creek coal estate, in the townships of Jackson, Rush, and Middle Paxtang, in the country of Dauphin, and of East Hanover township,

Mode of access: Internet.

The Mining world index of current literature

Subtitle varies slightly

Leaves from an Argonaut's note book; a collection of holiday and other stories illustrative of the brighter side of mining life in pioneer days

The milk pan.-The new leaf.-The Thanksgiving dinner.-The reservoirs.-The legend of Humbug Gulch.-The Joes.-Cyrus Billings' dream.-Bill's luck.-The ferry.-Simpson's Thanksgiving.-Stubbs' wooing.-The end of leap year.-Mrs. Crumpey's boarders.-Mr. Snively's vacation.-The story he told the prospectors.

Company E., Iron Mountain Volunteers in the Spanish-American War

verso: taken 1898 at Central House, old hotel in Iron Mountain, meeting place for mining men, etc.

Roughing it in Siberia, with some account of the Trans-Siberian railway, and the gold-mining industry of Asiatic Russia,

Mode of access: Internet.

Mineral land surveying : a technical treatise on the surveying and patenting of mineral land, designed for the use of Deputy Mineral Surveyors and Students of Mining Engineering, with an appendix of contributed notes of interest /

Reprint. Originally published: Denver : The Mining Reporter Publishing Company, 1906.

Harnessing Natural Resources for Development: New Legal Regimes for Localized Benefit Sharing in the Mining Sector

Thesis (Ph.D.)--University of Washington, 2016-06

Data mining via minimal spanning tree clustering for prolonging lifetime of wireless sensor networks

Clustering is applied in wireless sensor networks for increasing energy efficiency. Clustering methods in wireless sensor networks are different from those in traditional data mining systems. This paper proposes a novel clustering algorithm based on Minimal Spanning Tree (MST) and Maximum Energy resource on sensors named MSTME. Also, specified constrains of clustering in wireless sensor networks and several evaluation metrics are given. MSTME performs better than already known clustering methods of Low Energy Adaptive Clustering Hierarchy (LEACH) and Base Station Controlled Dynamic Clustering Protocol (BCDCP) in wireless sensor networks when they are evaluated by these evaluation metrics. Simulation results show MSTME increases energy efficiency and network lifetime compared with LEACH and BCDCP in two-hop and multi-hop networks, respectively. © World Scientific Publishing Company.