منابع مشابه
Mine Mechanization and Automation at CANMET, Natural Resources Canada
Natural Resources Canada (NRCan) is a federal government department specializing in the sustainable development and use of natural resources—energy, minerals and metals, forests—and in Earth sciences. NRCan deals with natural resource issues that are important to Canadians. These issues are examined from both a national and international perspective, our expertise in science and technology, pol...
متن کاملTeleoperated Buggy Vehicle and Weight Balanced Arm for Mechanization of Mine Detection and Clearance Tasks
The development of a practical mobile robot system for mechanization of humanitarian demining tasks such as sensing/verification and/or clearance of anti-personnel landmines is close to be completed. The system proposed by Hirose group at Tokyo Tech is a simple but effective solution that consists of a pantographic weight-balanced manipulator mounted on top of a mobile platform. A practical and...
متن کاملEconomic Analysis of Horticultural Crop Production at Various Levels of Mechanization (Case Study: Ghazvin Province
Objective: Economic analysis was performed for the main horticultural crops in Buin Zahra (pistachio, peach, nectarine, and apple). There were dependent and independent variables in this research. Methods: The independent variables were planting method (mechanized and conventional), land area used for fruit production, and land ownership. The maximum energy used, mostly in the form of fossil fu...
متن کاملITL-MINE: Mining Frequent Itemsets More Efficiently
The discovery of association rules is an important problem in data mining. It is a two-step process consisting of finding the frequent itemsets and generating association rules from them. Most of the research attention is focused on efficient methods of finding frequent itemsets because it is computationally the most expensive step. In this paper, we present a new data structure and a more effi...
متن کاملLSC-Mine: Algorithm for Mining Local Outliers
Data objects which differ significantly from the remaining data objects are referred to as outliers. Density-based algorithms for mining outliers are very effective in detecting all forms of outliers, where data objects with fewer neighbors are likely to be outliers than are those with more neighbors. However, existing density-based algorithms engage in huge repetitive computation and compariso...
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ژورنال
عنوان ژورنال: Shigen-to-Sozai
سال: 1994
ISSN: 0916-1740,1880-6244
DOI: 10.2473/shigentosozai.110.369